DoD SBIR FY12.3 - SOLICITATION SELECTIONS w/ ABSTRACTS
Army - Navy - DARPA - DTRA - MDA - OSD

---------- ARMY ----------

30 Phase I Selections from the 12.3 Solicitation

(In Topic Number Order)
Creare Inc.
P.O. Box 71
Hanover, NH 03755
Phone:
PI:
Topic#:
(603) 643-3800
Patrick J. Magari
A123-104      Awarded: 2/15/2013
Title:High-Temperature Hybrid Foil Bearing for Unmanned Aerial System Gas Turbines
Abstract:Small unmanned aerial systems (UAS) are a critical element in current military operations, and their use will increase substantially in the future. The propulsion system is a key design constraint in any UAS, and current small gas turbines for these vehicles are limited by the conventional oil-lubricated rolling element bearings used to suspend their high-speed rotating assemblies. Foil bearings offer a potentially attractive alternative, but despite their very successful commercial application to aircraft air cycle machines, they have not been widely used in gas turbine systems due to limitations with high-temperature operation, cost, and a variety of other issues. The objective of the proposed project is to develop a new hybrid foil bearing concept that has the potential to address the key issues inhibiting broad application of foil bearings to small gas turbines. In Phase I, we will work with a small turbine engine manufacturer to define the ideal requirements for such a bearing, develop a design, fabricate a prototype, and test it in an existing room-temperature test rig. In Phase II, we will further develop the novel foil bearing concept, develop a high-temperature test rig, and retrofit a hybrid foil journal bearing to an existing small gas turbine.

Mechanical Solutions, Inc.
11 Apollo Drive
Whippany, NJ 07981
Phone:
PI:
Topic#:
(518) 320-8552
Peter Chapman
A123-104      Awarded: 1/25/2013
Title:Foil-Air Bearings for Small Gas Turbine Engines
Abstract:As new applications arise for small gas turbine engines, the need to advance engine component technologies becomes essential, since they are required to run faster, hotter, and longer. Particularly critical in this regard are the shaft bearings. Since they operate without lubricant, air foil bearings have been identified as viable replacements to conventional liquid lubricated bearings. An advanced air foil bearing can be the enabling technology needed to improve engine efficiency and decrease weight by reducing bearing power loss and eliminating the lubrication system. Mechanical Solutions, Inc. (MSI) proposes a focused combination of rigorous scientific analysis and testing to assess an innovative oil/grease- free bearing system that combines the best features of current air foil bearing technology with specific design enhancements that provide increased load capacity and tolerance to service conditions such as shock and misalignment. The result of our work will be a commercially available, non-contact bearing system capable of supporting the radial and thrust loads within the operating environment typical for a 200 hp class gas turbine engine. MSI will analyze, design, build and test advanced foil bearing designs in Phase I.

Applied Radar, Inc.
315 Commerce Park Road
North Kingstown, RI 02852
Phone:
PI:
Topic#:
(401) 295-0062
Steve Cheung
A123-105      Awarded: 1/24/2013
Title:Instrument for Measuring Millimeter-Wave Polarimetric Bidirectional Reflectance Distribution Function
Abstract:The proposal will perform study and design of a gonioreflectometer or equivalent instrument that can measure Polarimetric Bidirectional Reflectance Distribution Function (PBRDF) in the millimeter wave (mmW) spectrum using heterodyne transmit/receive (Tx/Rx) radar technology. The instrument will be used to coherently measure amplitude and phase information and construct a BRDF with user-specified angular precision in Ka-band (~35 GHz), V-band (~60 GHz), W-band (~90 GHz), D-band (~140 GHz) and G-band (~220 GHz). The proposal will first analyze and simulated RF performance of the proposed design concepts through high-level system design and performance optimization to maximize signal to noise ratio and minimize dwell time at each angle scan; and then identify approaches with reducing risk toward selecting the design concept. A detailed construction plan together with performance specification for the proposed design will be developed based on (i) availability of commercial COTS component and hardware, (ii) optimization results from Phase I, and (iii) measurement repeatability. The proposed efforts are to demonstrate the feasibility of this mmW concept for PBRDF characterization. The construction plan will be used to build a demonstrator in Phase II.

SA Photonics
130A Knowles Dr. Suite A
Los Gatos, CA 95032
Phone:
PI:
Topic#:
(650) 434-2779
Frank Muennemann
A123-105      Awarded: 1/23/2013
Title:Instrument for Measuring Millimeter-Wave Polarimetric Bidirectional Reflectance Distribution Function
Abstract:This proposal develops a new instrument to fully characterize radio-wave interactions in all angles and polarizations at frequencies between 40 and 220 GHz. The instrument's deployment to Department of Defense (DOD) test facilities and to civilian research facilities will accelerate understanding of how target objects interact over extended frequency bands, and will in turn enable radar and communication system development in these bands. Antenna motion is achieved by a combination of tilt and position control, with a path-calibrating feature to achieve the required sub-millimeter accuracy in the propagation direction. Using existing RF modules designed for vector network analyzer (VNA) frequency extension, coupled with an SA Photonics baseband RF system adapted from our fiber-optic gyroscope (FOG) products will support the wide range of frequencies of interest to military and commercial customers. Modular software controls positioning, RF frequency and noise managment, calibration, measurement interpolation, coordinate transformation and presentation. The result is a fully automated, script-able system capable of acquiring data for weeks at a time with continual calibration and no user intervention.

EWA Government Systems, Inc.
13873 Park Center Road Suite 500
Herndon, VA 20171
Phone:
PI:
Topic#:
(802) 777-8558
Daniel Holt-Gosselin
A123-106      Awarded: 6/12/2013
Title:Bio-Inspired Semiconductor Technology
Abstract:EWA Government Systems Inc. (EWA GSI) along with University at Albany College of Nanoscale Science and Engineering (CNSE) and the Rochester Institute of Technology (RIT), proposes to develop a low-power neuromorphic parallel processor (NPP). The Phase I technical objectives are: (1) design for one or more neuromorphic architecture(s) that will support the required NPP functionality, (2) develop the critical neuromorphic building blocks required for the proposed NPP architecture, (3) perform system design analysis to evaluate various building block and architecture configurations with a focus on implementation in the next generation hybrid CMOS semiconductor fabrication technology, and, (4) Draft the requirements specification that documents the NPP architecture, critical building blocks, functional requirements and performance characteristics. This Phase I effort will establish the preliminary NPP system design. In Phase II, we will implement the design and fabricate a tangible prototype NPP chipset, at the CNSE facilities. This SBIR initiative will lead to the development of innovative silicon-based NPP chipset designs that can transition to production.

Physical Optics Corporation
Electro-Optics Systems Division 1845 West 205th Street
Torrance, CA 90501
Phone:
PI:
Topic#:
(310) 320-3088
Vladimir Esterkin
A123-106      Awarded: 7/9/2013
Title:Memristor-based Brain-like Morphware Processing Technology
Abstract:To address the Army’s need for a high-performance, low power bio-inspired parallel processor, Physical Optics Corporation (POC) proposes to develop a new highly reconfigurable Memristor-based Brain-like Morphware Processing (BRAINWARE) technology for implementation in upcoming military cognitive processing system and communication platforms. Based on solid-state memristors, mixed-signal silicon neurons and low-power clockless system architecture, the proposed technology offers an entirely new way of implementing high-performance massively parallel high-speed processing capability, crucial to replace today’s high power supercomputing systems. These bio-inspired innovations in BRAINWARE architecture coupled with clockless (asynchronous) system design enable extremely low power field-reconfigurable signal/image processing and control technology. In addition, the BRAINWARE-based processors offer unprecedented capabilities: immediate sleep and wake-up function, low noise and electromagnetic emission and high resistance to hardware attack. In Phase I, POC will define the specifications, develop architecture of the BRAINWARE-based generic neuromorphic processing elements with dual analog/digital capabilities and dynamically reconfigurable synapses, and demonstrate BRAINWARE technology feasibility. We expect that at the end of Phase II, a BRAINWARE technology system prototype with processing power equivalent to fifty million neurons and occupies less than fifteen cubic centimeters will reach technology readiness level (TRL) 5 and will be ready for initial testing for Army use.

Photon Systems
1512 Industrial Park St.
Covina, CA 91722
Phone:
PI:
Topic#:
(626) 967-6431
William F. Hug
A123-107      Awarded: 4/10/2013
Title:Real-time label-free detection of suspicious powders using non-contact optical methods
Abstract:In situ assessment of suspicious powders within inorganic matrices, with particular emphasis on powders of biological origin, is currently limited to detection by biochemical methodologies that react with monomers such amino acids, nucleic acids, lipids or macromolecule compounds comprised of these basic subunits. These current methods include immunoassays or PCR, both of which require expensive equipment and reagents with limited shelf life and restrictive environmental conditions for storage and use. Current optical methods such as Raman spectroscopy using excitation in the near IR at 785 nm or visible at 532 nm, have not been able to detect or distinguish biological materials. Until recently, these have been the only classes of handheld instrumentation available to address the problem of identifying suspicious powders in near real-time and in situ at the site of an incident. We propose to develop and demonstrate an emerging handheld technology that employs a fusion of deep UV excited Raman and fluorescence spectroscopic methods that enable non- contact, real-time, detection and classification of trace amounts of biological material: without the need for reagents, labels or other consumables; without contact with or disturbing the suspicious powder and subsequent need for decontamination of instrumentation or spread of the powder.

Lenterra, Inc.
7 Tenney Road
West Orange, NJ 07052
Phone:
PI:
Topic#:
(973) 623-0755
Vadim Stepaniuk
A123-108      Awarded: 4/10/2013
Title:BROAD RANGE RADIATION DETECTOR BASED ON SPECTRUM SHIFTS OF OPTO-MECHANICAL MICROCAVITY
Abstract:This SBIR Phase I proposal is aimed at the development of the ultra-sensitive detector for the far infrared (FIR) and terahertz (THz) bands of electromagnetic radiation. The device is inherently optical, operates at room temperature and of submillimeter size. The proposed technology is based on coupling the radiation to be measured to the mechanical degree of freedom of an optical microcavity and using the optical degree of freedom to get the information about the radiation field out. That is, the mechanical response of the microcavity to the incident radiation drives changes in its optical mode field. These changes manifest themselves as frequency shifts of the cavity optical resonances commonly known as Whispering Gallery Modes (WGM) which are measured using a tunable diode laser and a photoreceiver. In the Phase I research, measurements of FIR-THz radiation will be accomplished using microspherical and microtoroidal resonators, and the sensor operational model will be developed. Utilization of radiation pressure backaction cooling of the cavity to reduce local temperature and further increase sensitivity of detection is envisioned for the continuing research. Our goal is to demonstrate robust, field capable, ultra high sensitivity miniature FIR-THz detectors operating in room temperature environment.

Physical Optics Corporation
Photonic Systems Division 1845 W. 205th Street
Torrance, CA 90501
Phone:
PI:
Topic#:
(310) 320-3088
Paul Wilkinson
A123-108      Awarded: 4/10/2013
Title:Terehertz-Infrared Microsphere Bolometer
Abstract:To address the Army’s need for an ultra-sensitive, room-temperature, long-wavelength radiation detector, Physical Optics Corporation (POC) proposes to develop a new Terahertz-Infrared Microsphere Bolometer (TIMBol). This proposed device is based on thermally induced wavelength shifts of whispering gallery mode (WGM) resonances in high quality factor microspheres. The innovation in thermal and optical isolation, WGM interrogation, and optical cooling will enable the device to achieve ultra-sensitive THz and IR detection. As a result, the new device offers a noise equivalent power (NEP) of better than 10^-13 W without cooling, and will be further optimized with the potential to exceed liquid helium cooled bolometers. These specifications directly address the Army’s requirements to eliminate increasingly expensive consumables such as liquid helium. In Phase I, POC will demonstrate the feasibility of its TIMBol technology by illuminating the detector with a THz source and reducing the incident THz power using high optical density (OD) fused silica filters to the lowest detectable light level. In Phase II, POC plans to develop single channel and array prototypes.

Flashback Technologies Inc.
7490 Clubhouse Rd. Suite 100
Boulder, CO 80301
Phone:
PI:
Topic#:
(720) 204-2575
Greg Grudic
A123-109      Awarded: 5/13/2013
Title:A Real-Time, Non-Invasive Monitoring System to Guide Accurate Fluid Resuscitation of Combat Casualties During Pre-Hospital and Transport Medical Care
Abstract:The proposed Phase I work will deliver a noninvasive, small, portable functional pulse oximeter based finger prototype device capable of heartbeat-to-heartbeat estimation of: 1) closeness to hemodynamic decompensation of injured warfighters for the purpose of triage; 2) effectiveness of fluid resuscitation in a bleeding or a potentially bleeding patient; and, 3) fluid volume required by a bleeding patient to prevent over or under resuscitation. In addition, the device will be capable of transmitting this information wirelessly to a tablet, laptop and/or workstation. This project will also investigate the application of pulse oximeter type sensors to other areas of the body including but not limited to the forearm area, to determine optimal placement for effective and robust portable resuscitation monitoring. This work effort will utilize simulated bleeding and resuscitation data gathered at the USAISR as well as data gathered in related human hemorrhage studies involving a liter or less of blood loss, all of which are being conducted under existing Flashback projects that are synergistic to this proposed effort. The deliverables of this 6 month project will include the working resuscitation monitoring device, as well as a rigorous statistical analysis of its effectiveness based on existing data.

UtopiaCompression, Corporation
11150 W. Olympic Blvd. Suite 820
Los Angeles, CA 90064
Phone:
PI:
Topic#:
(310) 473-1500
Priya Ganapathy
A123-109      Awarded: 4/25/2013
Title:A-WEAR: An automated non-invasive hemorrhage and resuscitation monitoring system
Abstract:UtopiaCompression and MC10 put forth a novel solution for continuous monitoring of hemorrhage in the battlefield to improve survivability while reducing cost to the military. We propose advances in both physiological diagnostic intelligence and associated physiological sensors systems for a complete solution. Named A-WEAR the system will consist of conformal and flexible physiological sensors (developed by MC10) communicating wirelessly to an embedded platform hosting diagnostic intelligence (built by UtopiaCompression), connected to medic device for simultaneous monitoring of multiple casualties. The system will provide alerts in advance for the emergent need of intervention and when administered the system will track intervention impact to provide actionable feedback to the medic during pre-hospital and transport medical care. The diagnostics will also accommodate for differences among individuals and function without prior medical information. It will maintain data continuity for downstream caregivers as casualties are transported through echelons of care. The system will be built with an open, modular architecture to enable constant evolution by modification and addition of sensors and diagnostic intelligence. These will translate into cost-of-ownership savings for TCCC response, lower battlefield KIA rates from potentially survivable causes, higher unit readiness levels and lower lifetime medical costs for combat wounded.

Signal Systems Corporation
877 Baltimore Annapolis Blvd Suite 210
Severna Park, MD 21146
Phone:
PI:
Topic#:
(410) 431-7148
Chris Cechak
A123-110      Awarded: 4/10/2013
Title:Local Active Noise Reduction for MEDEVAC and CASEVAC
Abstract:Signal Systems Corporation (SSC) proposes developing its MEDEVAC Active Noise Cancellation Acoustic Pillow (MANCAP) featuring active noise cancellation (ANC) and passive noise reduction measures to create a quiet zone around injured personnel’s ears during evacuations in and around noisy military vehicles. The MANCAP concept allows access to the patient’s face for respirators and medical treatment while installed on any standard NATO litter. The MANCAP will reduce the local noise level of the patient to less than 80 dBA in a military helicopter by leveraging our ANC algorithms, real time software, hardware and headrest technology previously developed under commercial and DoD sponsorship, including Army, Navy and Special Forces efforts.

SMD Corporation
1100 Exploration Way Suite 302S
Hampton, VA 23666
Phone:
PI:
Topic#:
(407) 448-0744
Curtis Mitchell
A123-110      Awarded: 4/8/2013
Title:Active Quiet Pillow
Abstract:In this project we propose to develop, test and demonstrate the potential of an Active Quiet Pillow for reducing interior noise in helicopter medical evacuation scenarios using numerical simulation and experimental testing. The potential of the Pillow design is expected to reduce the interior noise of a Blackhawk MEDEVAC helicopter from 106dB pink noise incident sound down to 90dBA at the patient’s ear. The innovation is based on a strategic combination of active and passive treatment elements in a pillow arrangement located under the patient’s head. In Phase I, numerical finite element models of the Active Quiet Pillow in a helicopter cabin interior will be developed including a modeled active noise system and passive noise treatment. The analysis will incorporate acoustic lining modeled by a surface impedance and the active speakers as baffled pistons embedded in the quiet pillow structure. The effect of the acoustic pillow liner on reducing the mid and high frequencies at the patient’s ears will be studied. Experimental verification of the noise reduction active cancellation will also be demonstrated in laboratory testing. The results will then be used to identify the key elements required for airworthiness testing for use in US Army MEDEVAC and CASEVAC operations.

Kutta Technologies, Inc.
2075 W Pinnacle Peak Rd Ste 102
Phoenix, AZ 85027
Phone:
PI:
Topic#:
(602) 896-1976
Douglas Limbaugh
A123-111      Awarded: 4/1/2013
Title:HCI and C2 for Autonomous Air Evacuation of Casualties
Abstract:For this effort Kutta leverages its experience with multiple unmanned Vertical Take-Off and Landing (VTOL) resupply programs and Unmanned Aerial Systems (UAS) to create a new autonomous system for critical item resupply and casualty evacuation (CASEVAC). Kutta proposes to research multiple Unmanned Aerial Systems (UAS), and down-select to the optimal platform to deliver the best possible solution to meet the objectives of SBIR # A12- 111. Simultaneously, Kutta performs a thorough cognitive task analysis (CTA) using both MEDEVAC and CASEVAC pilots as participants in its human factors study. Based on the CTA Kutta develops the technology selected by users for users for the unmanned resupply CASEVAC and medical resupply mission. Our team also architects the resulting software using the latest in service oriented architecture techniques so that the technology can be easily migrated to different UAS platforms. This UAS-agnostic approach allows the U.S. Army to expand the technology without having the data and source code “stove-piped” to specific air vehicle platforms. With expertise in UAS mission planning, unmanned resupply vehicles, and Ground Control Station (GCS) management, the Kutta team is uniquely positioned to design, develop, and commercialize an autonomous VTOL system capable of delivering critical supplies and conducting CASEVAC missions.

Neya Systems, LLC
12330 Perry Hwy Suite 220
Wexford, PA 15090
Phone:
PI:
Topic#:
(724) 799-8078
Parag Batavia
A123-111      Awarded: 4/15/2013
Title:HCI and C2 for Autonomous Air Evacuation of Casualties
Abstract:Fixed wing UAVs such as the Predator™, Global Hawk™, and Shadow™ have become invaluable C4ISR and force projection assets. They have acted as force multiplers, have reduced risk to human personnel, and have enabled new tactics, techniques, and procedures (TTPs). Use of Vertical Takeoff and Landing (VTOL) unmanned craft is growing as well, including large platforms such as the Blackhawk and K-Max, and smaller C4ISR platforms such as FireScout and A-160. While each DoD Service and nearly all the major DoD Primes have fielded fixed wing systems, the set of fielded unmanned VTOL craft is currently limited to the K-Max and FireScout. The growing planned use of unmanned VTOL aircraft such as the K-Max provides an opportunity to expand the scope of unmanned air missions, but also requires new methods for Human-Computer Interfaces (HCI) and Command and Control (C2). To address this requirement, Neya Systems, LLC proposes to develop VERTI: A VTOL Evacuation and Resupply Tactical Interface. VERTI will leverage Neya’s expertise in developing intuitive, easy to use mission specification and management systems.

KCF Technologies, Inc
336 South Fraser Street
State College, PA 16801
Phone:
PI:
Topic#:
(814) 867-4097
Michael Grissom
A123-112      Awarded: 5/22/2013
Title:A New Generation of Actuators for Robotic Systems
Abstract:KCF in partnership with Penn State will evaluate and demonstrate a new generation of intrinsically safe robotic actuators built up from micro-actuator module units. The technical approach is based on state-of-the art prosthetic development where the human-mechanism interface is the primary focus. Two competing force delivery technologies will be prototyped and evaluated in the Phase I project, electroactive polymer actuation units and magneto- rheological fluid micro-hydraulic valves with flexible matrix composite actuation units.

Vecna Technologies Inc.
6404 Ivy Lane Suite 500
Greenbelt, MD 20770
Phone:
PI:
Topic#:
(617) 864-0636
Daniel Theobald
A123-112      Awarded: 4/15/2013
Title:A New Generation of Actuators for Robotic Systems
Abstract:Actuators are the primary limiting factor that relegates robots to controlled industrial and military environments and keeps them from becoming the truly useful tools that we hope they will become. Current actuators must be massive in order to provide sufficient strength for real work, requiring that these robots are equally massive, inflexible, and ultimately too dangerous to work alongside humans in industry or manipulate them in clinical/healthcare environments. Vecna Technologies has developed a wholly new and disruptive approach to actuator design that incorporates natural and adaptive compliance, variable force output control, extremely high efficiency, and most of of, highly energy-dense in a simple, low-cost, small, flexible actuator that is simple to manufacture and requires no exotic materials. In this Phase I project, Vecna will develop designs for the control software that will harness the adaptive compliance and variable force output properties of the actuator with human-safe manipulation in mind.

Paragon Space Development Corporation
3481 E. Michigan Street
Tucson, AZ 85714
Phone:
PI:
Topic#:
(520) 981-2911
Chad Bower
A123-113      Awarded: 4/4/2013
Title:Phase-change Urgent Living Specimen Enclosure (PULSE)
Abstract:Paragon’s proposed PULSE technology builds upon existing vacuum insulated panel (VIP), vacuum dewar, phase change, and chemical heating and cooling technologies to provide a more robust transportation container with the potential for extended life and operability over existing systems. PULSE will utilize innovative new techniques to manufacture continuous, three-dimensional vacuum insulated containers, including cylinders, with robust walls, without resorting to pinches or other methodologies that increase heat conduction. Furthermore these new geometries will significantly reduce edge effects leading to higher overall performance. The PULSE innovative insulated containers will also provide obvious and immediate feedback if they are compromised. Paragon will apply our thermal expertise to address the issue of more robust PCM materials and containers to address life limitations and unreliability being experienced by the DoD. Paragon will also create highly adaptable thermal control systems that require no power and allows a set-point temperature to be maintained without any container preconditioning or prior knowledge of the operational environment. Through these advancements, Paragon’s PULSE system will provide greater certainty to the DoD that critical medical supplies arrive as intended even in uncertain external environments.

Resodyn Corporation
130 North Main Street Suite 600
Butte, MT 59701
Phone:
PI:
Topic#:
(406) 497-5252
Steve Galbraith
A123-113      Awarded: 5/24/2013
Title:The Most Efficient (TME) Cold Chain Container for Blood
Abstract:Resodyn Corporation proposes to develop a novel cold chain system with a Lifetime Warranty for the vacuum container. The container composes a passive energy efficient system for transporting blood and pharmaceuticals in hostile environments for up to three days. Capacity is four 500 ml liter blood transfusion bags. Energy efficiency is possible by the novel shape and super insulating qualities proposed. Preliminary work and prior examples demonstrate the merit of prototyping and proving feasibility for the proposed system in Phase I.

eSpin Technologies, Inc.
7151 Discovery Drive
Chattanooga, TN 37416
Phone:
PI:
Topic#:
(423) 267-6266
Jayesh Doshi
A123-116      Awarded: 4/1/2013
Title:High Flow, Extended-Wear Respirators for Ambient Particulate Matter Protection
Abstract:This SBIR Phase I proposal proposes to design, develop, and produce high performance air filter media with low pressure drop and longer life for dust mask application. Non-woven composite filter media with macro and nanofiber will be produced to obtain design specifications. Fiber size, packing density, porosity, and mass density of the material will be controlled to tailor the properties of the filter media. The filter media will be characterized for its filtration and mechanical performance for optimization leading to manufacturing of dust mask. The proposed technology is expected to enhance the protection level with comfort while providing longer life mask.

Lynntech, Inc.
2501 Earl Rudder Freeway South
College Station, TX 77845
Phone:
PI:
Topic#:
(979) 764-2200
Anjal Sharma
A123-116      Awarded: 4/15/2013
Title:Self Regenerating Dust Masks for Punishing Military Operational Environments
Abstract:Our warfighters deployed in operational environments which have high airborne particulate matter (PM) levels are at serious risk of developing respiratory and cardiovascular disease. Unfortunately no standardized PM protective equipment can currently be issued due to limitations for extended wear during sustained aerobic activity. Lynntech, Inc. proposes to develop lightweight PM filter face masks which are compatible with warfighter head and face gear, provide high airflow and resist clogging through the incorporation of a highly innovative no-power active self regeneration technology. Phase I will specifically aim to provide proof-of-concept for this novel high flow rate, high PM filtration and self regeneration technology. Phase II will further optimize the technology with a focus on prototyping lightweight ruggedized self regenerating PM filter face masks which are suitable for utilization in punishing high PM operational environments even under sustained aerobic activity. Phase III will focus on commercialization of NIOSH N95 compliant, self regenerating, high airflow respirators suitable for DOD procurement for standard issue to our warfighters that serve in high PM environments. Lynntech’s novel self regenerating respirators will significantly decrease adverse health risks while simultaneously increasing operational effectiveness of our warfighters to greatly improve mission success probabilities in high PM environments.

Nanocomposix, Inc.
4878 Ronson CT STE K
San Diego, CA 92111
Phone:
PI:
Topic#:
(858) 565-4227
John Holecek
A123-116      Awarded: 4/8/2013
Title:High Flow, Extended-Wear Respirators for Ambient Particulate Matter Protection
Abstract:During the Phase I Research Period we will develop a high porosity, nanoengineered filtration material that couples high filter efficiency with a very low pressure drop. The core innovation of the technology is the use of a novel nanostructured fill material that has a solidity 10 times lower than typical filter materials. The fill material is efficient at capturing particulates via interception, inertial impaction and electrostatic attraction but has an extremely low aerodynamic cross section. The low pressure drop per unit thickness allows for thicker filter substrates to be produced that have a high loading capacity, extending their effective filter lifetime performance.

Intelligent Optical Systems, Inc.
2520 W. 237th Street
Torrance, CA 90505
Phone:
PI:
Topic#:
(424) 263-6316
Vladimir Rubtsov
A123-117      Awarded: 3/15/2013
Title:Stereo Ophthalmic Smartphone with Accessories for In-Field Applications
Abstract:Ocular injuries account for approximately 13%-22% of all combat casualties, and up to 32% in disasters. Ophthalmic diagnostic equipment and specialists are usually not available under these conditions, but telediagnosis could support on-scene diagnosis by a nonspecialist or even a nonprofessional based on information and advice from a remotely located professional. Because ophthalmology relies so heavily on visual information, high- quality 2D and 3D still and video attachments are very helpful to the teleconsultants. The appearance of 3D smartphones on the market makes this possible. To address the Army concerns, Intelligent Optical Systems (IOS) proposes to develop the Stereo Ophthalmic Smartphone (SOS) with accessories for in-field applications, a miniature device that combines the properties of classical ophthalmology slitlamp stereomicroscopy, the capability of the 3D smartphone, and unique, IOS-developed MEMS with an incorporated moving lens (Translating Lens) which enables it to produce 3D imagery through a single objective lens rather than requiring the traditional two channels. In Phase I the device concept will be outlined, and an operating prototype will be delivered in Phase II.

Nanohmics, Inc
6201 East Oltorf St. Suite 400
Austin, TX 78741
Phone:
PI:
Topic#:
(512) 389-9990
Byron Zollars
A123-117      Awarded: 5/20/2013
Title:Portable Android Based Plenoptic Ophthalmic Slit Lamp
Abstract:Rapid evaluation of ocular injuries in austere environments requires the acquisition and transmission of visual examination data by relatively unqualified individuals due to the lack of qualified ophthalmologists or optometrists in many remote, hostile, or disaster regions. In order to be useful for proper diagnosis by qualified ophthalmologists, the transmitted data must be a relatively high resolution stereo image that provides the tele-operator with the ability to focus on external and anterior gross ocular structures all the way down to internal ocular structures having sub-millimeter scales. In order to obtain appropriate data, a portable field instrument must allow the operator to vary illumination intensity, spectral output, slit width, and other illumination patterns. Preferably the video data should be live or at least capable of being streamed and the data must be transmitted from austere environments. There is a wide range of current devices that perform at least part of these tasks. Digital imaging of slit lamps is accomplished via auxiliary fittings that couple video or still cameras into their optics. Similarly, there are portable slit lamps that are suitable for use in the field but none that have standard imaging capability. There are also smartphone fixtures available in the form of eyepieces that directly mount to slit lamps – both portable and desktop. However, none of these systems supply digital stereo images and it is unlikely that slit lamps would be available in remote environments. To address this problem, Nanohmics Inc. proposes to develop an easy to use, handheld Android platform that provides 3-D imaging with integral slit lamp illumination that transmits high resolution images via satellite/cell phone/radio.

SA Photonics
130A Knowles Dr. Suite A
Los Gatos, CA 95032
Phone:
PI:
Topic#:
(408) 348-4426
Mike Browne
A123-117      Awarded: 4/1/2013
Title:Adapting SmartPhones for Ocular Diagnosis
Abstract:From the 19th century until today, we have seen an almost tenfold increase in the ocular injury rate on the battlefield. Injuries to the torso that in the past would have been fatal are now prevented or reduced through use of effective body armor. Although the ocular surface area represents only 0.27% of the body surface area the eye casualty rate in combat is 20 to 50 times greater than expected based on the body surface area. Compounding this problem is that there are very few eye doctors deployed in field hospitals. With ocular injuries accounting for up to 32% of injuries in disaster scenarios, limited access to eye doctors is not just a military problem. A portable eye examination system is needed that can help trained medical personnel diagnose eye injuries either on site, or remotely via telemedicine if they are not deployed to a given field hospital. This system should be easy to use for an untrained medic but also capable enough so that an optometrist, ophthalmologist or ophthalmic surgeons would find it useful. To address this need, SA Photonics has developed the concept “eyePhone”, a hybrid slitlamp/ophthalmoscope that clips on to a smart phone.

Arkansas Power Electronics International, Inc.
535 W. Research Center Blvd., Suite 209
Fayetteville, AR 72701
Phone:
PI:
Topic#:
(479) 443-5759
Daniel Martin
A123-118      Awarded: 3/18/2013
Title:Compact , High-Power Density, High-Voltage Silicon Carbide (SiC) Based Solid-State Circuit Protection Device (SSCPD) Incorporating Advanced Power Pack
Abstract:This SBIR Phase I project seeks to develop an advanced, flexible, robust, high-power density, high-voltage (600 V), solid-state circuit protection device (SSCPD) through the incorporation of silicon carbide (SiC) device technology, the implementation of advanced power packaging, and novel fault detection and protection schemes. The proposed SiC- based SSCPD will address the present and future needs of many Army applications, specifically targeting the present needs of the Joint Light Tactical Vehicle (JLTV) and other future Army vehicles, e.g., Ground Combat Vehicle (GCV).

Creare Inc.
P.O. Box 71
Hanover, NH 03755
Phone:
PI:
Topic#:
(603) 643-3800
Bruce R. Pilvelait
A123-118      Awarded: 3/8/2013
Title:SiC Based Electrical Distribution for High Voltage Vehicle Power Systems
Abstract:Power system upgrades for next-generation ground combat vehicles require technology advances such as higher operating temperature, greater power density, and increased functionality. Silicon Carbide (SiC) based power electronic devices offer advantages over silicon devices, especially for high voltage buses, and Creare proposes to develop a SiC- based 12 channel, 600 VDC Solid State Electrical Distribution Unit (SSEDU) which operates at ambient temperatures up to 100 deg C. Our design uses innovative thermal management to enable operation at very high ambient temperature while maintaining adequately low semiconductor junction temperatures. This approach minimizes size and maximizes lifetime and reliability. During Phase I we will develop our proposed design further and demonstrate feasibility through analysis and prototype test. During Phase II we will demonstrate a prototype in TARDEC’s VEA System Integration Lab at TRL5. Creare’s SSEDU offers the benefits of higher power density, higher operating temperature, and increased control intelligence when compared to existing designs.

Global Embedded Technologies, Inc.
23900 Freeway Park Drive
Farmington Hills, MI 48335
Phone:
PI:
Topic#:
(248) 888-9696
David Backus
A123-118      Awarded: 3/29/2013
Title:High-Voltage Intelligent Power Distribution Solution
Abstract:Future military vehicle systems require 600VDC power buses to improve mobility and save fuel through hybrid power system configurations. This is a compelling proposition at a time when the military needs to find ways to address decreasing budgets, while increasing capability. High voltage systems are just now becoming requirements on future military vehicle systems. This paradigm shift in requirements results in technology gaps, unmet needs, and opportunities. This SBIR topic and recent vehicle requirements from major military vehicle manufacturers validate the need for an intelligent high voltage power distribution solution. Global ET’s solution will be a unique combination of SiC technology, compact and efficient power electronics, software features, and configurability.

Physical Optics Corporation
Electro-Optics Systems Division 1845 W. 205th Street
Torrance, CA 90501
Phone:
PI:
Topic#:
(310) 320-3088
Tin M. Aye
A123-119      Awarded: 3/14/2013
Title:Retro-transmitting Omni-Bidirectional On-the-move Laser-Illuminated Non-line-of-sight Optical Communication System
Abstract:To address the Army’s need for an optical communication system that is suitable for the teleoperation of unmanned ground vehicles (UGV), Physical Optics Corporation (POC) proposes to develop a new Retro-transmitting Omni-Bidirectional On-the-move Non-line-of- sight Optical Communication (ROBOLINC) system. This system is based on non-line-of- sight diffused infrared light detection via a retro-transmitting omni-bidirectional transceiver consisting of a multiaperture superposition compound-eye sensor with a high-speed IR laser diode array, and a multispectral omnidirectional camera-based laser interrogator consisting of a 360-degree omnidirectional optics, a visible/near IR/shortwave IR CMOS imaging sensor, a lightweight-mirror fast scanning telescope, a multitarget video tracker, and eye- safe laser with high sensitivity detection. These innovations allow the system to meet the Army’s requirements on bandwidth, frame rate, range, day/night environment, SWaP, and on- the-move operation. In Phase I, POC will develop the ROBOLINC system design, investigate system components, and demonstrate ROBOLINC’s feasibility by testing a laboratory breadboard setup. In Phase II, POC plans to finalize the design and implement into a full prototype system which will be tested and demonstrated for controlling a robot in a realistic outdoor environment.

Radiation Monitoring Devices, Inc.
44 Hunt Street
Watertown, MA 02472
Phone:
PI:
Topic#:
(617) 668-6863
Richard Myers
A123-119      Awarded: 3/11/2013
Title:Optical Communications for Control of Unmanned Ground Vehicles
Abstract:Free space optical communication (FSOC) systems offer rapid data transfer rates, allowing wireless relay of complex data sets. To further promote the use of this technology for short- range covert communication links and non-line-of-sight (NLOS) data transfer, compact and robust transmitter/receiver modules that operate at ultraviolet wavelengths and within eye and skin-safe limits are desired. To meet this challenge, scientist from Radiation Monitoring Devices, Inc. will exploit recent advances in UV transmitter and receiver technologies to demonstrate the feasibility of assembling a rugged, compact and sensitive NLOS optical communication unit for short range video data transfer during both military and civilian operations. During Phase I, a theoretical analysis of the FSOC network’s achievable performance will be made based on established component specifications and results from the testing of a bench-top demonstration unit. The work will be driven by the target application of covert, NLOS data transfer between unmanned ground vehicles and an operator control unit used by military and civilian personnel.

---------- NAVY ----------

31 Phase I Selections from the 12.3 Solicitation

(In Topic Number Order)
BlackBox Biometrics, Inc.
125 Tech Park Drive
Rochester, NY 14623
Phone:
PI:
Topic#:
(585) 402-2806
David Borkholder
N123-152      Awarded: 2/1/2013
Title:Blast dosimeter for monitoring and documenting Blast exposure for Breacher and route clearance personnel
Abstract:Conduct trade study to identify potential enhancements and improvements which can be incorporated in the currently commercialized BlastGauge dosimeter. In accordance with this solicitation, proposer will conduct comprehensive research feasibility study of desired blast dosimeter specifications and provide technical insight for integration and deployment.

McQ Inc.
1551 Forbes St.
Fredericksburg, VA 22405
Phone:
PI:
Topic#:
(540) 373-2374
Mark Winston
N123-152      Awarded: 2/1/2013
Title:Blast dosimeter for monitoring and documenting Blast exposure for Breacher and route clearance personnel
Abstract:Exposure to explosive blasts is a constant concern for the modern warfighter. Such blasts can originate from gre-nades, mortars, bombs, IEDs, and so on. Furthermore, exposure can occur in both combat and training situations. Since explosive blasts can cause internal injuries that may not show symptoms for days or even months, a device capable of measuring blast exposure would provide numerous medical benefits. Such a blast dosimeter would allow medical personnel to determine the likelihood of internal injury and thus be better able to diagnose and treat those exposed to blasts. Furthermore, the ability to record blast event data would provide valuable information on what happens during a blast so that future medical treatment procedures and safety devices can be improved. The proposed blast dosimeter features accurate blast wave measurement, low false alarm rate, long battery life, and a price point that will allow dosimeters to be distributed to a large number of warfighters for a reasonable cost.

Physical Optics Corporation
Products and Engineering Division 1845 West 205th Street
Torrance, CA 90501
Phone:
PI:
Topic#:
(310) 320-3088
Leonid Bukshpun
N123-152      Awarded: 2/1/2013
Title:Omni-Directional Blast Dosimeter
Abstract:To address the Navy’s need for a blast dosimeter, Physical Optics Corporation (POC) proposes to develop a new wearable omni-directional blast dosimeter (OMNIBLAS) for accurate blast pressure monitoring. The miniature badge-like dosimeter (~2 in. x 1 in. x 0.5 in., 6 oz) consists of a miniature direction-insensitive blast sensor and a low-power processing board with an embedded pressure-acceleration decoupling algorithm for accurate blast pressure measurements. The innovation in the integration of a pressure sensor and advanced signal processing will enable the OMNIBLAS to accurately measure blast pressure while mounted on a warfighter. The OMNIBLAS technology will allow the USMC to accurately sense, measure, and store blast exposure levels warfighters face using a low maintenance lightweight device. As a result, this device offers long-term monitoring and documenting of blast exposure for Breacher and route clearance personnel, which directly address the Warfighter PPE EOD ensemble requirements. In Phase I, POC will demonstrate the feasibility of OMNIBLAS by design, simulation, and testing of the pressure sensor. POC plans in Phase II to integrate the components into a prototype suitable for independent field testing by the Navy.

Alexium Government Solutions LLC
8 Distribution Ct
Greer, SC 29650
Phone:
PI:
Topic#:
(864) 373-5887
Bob Brookins
N123-153      Awarded: 2/1/2013
Title:Application of a Treatment to the Military Fabrics that is Affordable and Provides Durable Flame Resistant Properties
Abstract:50/50 Nylon/Cotton (NyCo) fabric is currently used for many standard issue combat uniforms, such as the Marine Corps Combat Utility Uniform (MCCUU) and the equivalent ACU/ABU equivalents in other DoD services. While 50/50 NyCo fabrics are proven performers in combat uniforms and are a relatively inexpensive, 50/50 NyCo fabrics have no flame resistant properties and can cause serious burn injury if the soldier is exposed to flames or attacked by an improvised explosive devices (IEDs). 50/50 Ny/Co fabrics melt and drip when exposed to high heat, sticking to the skin and intensifying soldier (burn) injuries. The goal of the proposed effort is to demonstrate a topical treatment process for 50/50 NyCo that can compete with expensive, inherently flame resistant FR fabrics on performance, while adding little additional cost to 50/50 NyCo garments. Alexium is proposing a novel and innovative approach to meeting the requirements of combat clothing. Specifically, Alexium is proposing a project that will establish the feasibility of applying an inexpensive and highly effective, topical treatment on standard military nylon/cotton fabric. In this project, Alexium is proposing to combine, in novel ways, derivations of an environmentally safe, halogen free, FR treatment - already developed for nylon fabrics - with FR chemistries traditionally used in cotton applications.

InnoSense LLC
2531 West 237th Street Suite 127
Torrance, CA 90505
Phone:
PI:
Topic#:
(310) 530-2011
David Hess
N123-153      Awarded: 2/1/2013
Title:Low-Cost, Durable and Non-Toxic Flame-Resistant Fabric Treatment for Combat Uniform
Abstract:The United States Marine Corps is interested in developing affordable and durable flame resistant fabric treatments for NYCO (50% nylon-50% cotton) fabrics like those used in the Marine Corps Combat Utility Uniforms (MCCUU). The proposed treatment must not increase the overall price by more than $4 to $8 per MCCUU. InnoSense LLC (ISL) proposes to introduce a novel method to for attaching non-halogenated compounds to the surface of the current generation MCCUU as flame retardant materials. The proposed treatment will not adversely affect the functionality of any other coating or treatment on the uniform, and will be covalently bonded to the surface of the fabric via traditional dye methods. During Phase I, ISL will develop the processing methodology to produce a cost-effective flame retardant material. ISL will work with Milliken Company to develop a process that will minimize the cost increase over the base MCCUU material. During Phase II, ISL will scale- up the processing methodology to delivery an appropriate quantity of yardage for field testing and product verification. ISL will maintain its ongoing relationship with Milliken to develop a durable, cost-effective flame retardant treatment that will survive daily use while imparting no adverse affects on existing fabric treatments.

TIAX LLC
35 Hartwell Avenue
Lexington, MA 02421
Phone:
PI:
Topic#:
(781) 879-1230
Brad Pindzola
N123-153      Awarded: 2/1/2013
Title:Affordable and Durable Flame Retardant Treatment for Military Fabrics
Abstract:TIAX proposes to demonstrate the feasibility of a new flame retardant (FR) treatment for nylon/cotton combat uniform textiles, like that used in the Marine Corps Combat Utility Uniform (MCCUU). Currently the military procures specialty FR uniforms to meet its needs. Although these uniforms provide critical FR properties, they are twice as expensive as standard uniforms and not as comfortable or durable. As a result, a general need exists to develop a FR treatment method for the standard MCCUU which would provide the needed FR properties – without significant impact on the other critical uniform properties – for an increase of 5% or less in the cost of the uniform.Current FR treatments are typically designed for use on cotton and do not perform satisfactorily on textile blends with nylon. These existing treatments also tend to add substantial weight and decrease the strength of the fabric. TIAX will develop a new FR treatment for textiles, which provides excellent FR properties without significantly degrading other critical properties, based an understanding of the particular chemistry of cotton/nylon blends and utilizing a combination of traditional and nanoscale FR additives.

Hearing Armor, LLC
30 Meredith Circle
Needham, MA 02492
Phone:
PI:
Topic#:
(781) 962-0866
Rick Rogers
N123-154      Awarded: 2/1/2013
Title:Next Generation Passive Hearing Protection
Abstract:Hearing Armor, LLC has a non-linear earplug that can protect a Marine’s hearing while permitting the Marine to hear spoken command and retain situational awareness. Hearing Armor, LLC has produced prototypes that come very near to meeting the specifications identified in SBIR N123-154. The Hearing Armor technology does so without moving parts and without electronics, utilizing a patent pending design. The Hearing Armor uses a deep- ear insertion earplug with a membrane held in a clamped plate that resists loud sounds, withstands up to a two-atmosphere overpressure, and permits normal sounds to be heard. Hearing Armor is encased in an inert soft multi-component silicone invented by the U.S. Navy to attenuate sounds at the frequencies associated with munitions, and muzzle blast. Hearing Armor, LLC respectfully proposes to conduct research and development to enable the refinement of the Hearing Armor technology to achieve the noise attenuation specifications set forth in SBIR N123-154. If successful in Phase I, Hearing Armor can use Phase II for refinement to permit production of the earplug in small, medium and large to fit the majority of Marines as required by SBIR N123-154. Phase II would include laboratory testing and field-testing prove the earplug’s efficacy and utility.

Oceanit Laboratories, Inc.
Oceanit Center 828 Fort Street Mall, Suite 600
Honolulu, HI 96813
Phone:
PI:
Topic#:
(808) 531-3017
Christopher Sullivan
N123-154      Awarded: 2/1/2013
Title:Next Generation Passive Hearing Protection
Abstract:The objective of the proposed effort is to develop and demonstrate a passive hearing protection that affords true sense of presence for normal sound with directionality. Existing hearing protection systems fall short of providing a true sense of situational awareness for the user and are therefore not used in some combat situations by the warfighter. Loss of directionality is a common consequence of wearing passive hearing protection earplugs such as the Combat Arms Earplug as well as hearing-aid type earplugs such as the Etymotic EB15. While both afford a level of protection for the user, both reduce the ability of the user to identify the direction of important audio cues. While the EB15 additionally amplifies low intensity sounds, as hearing aids do, they suffer from the same issues that hearing aid users complain about, including feedback noise, wind noise and amplified white noise. Oceanit proposes a novel earplug hearing protection system that will reduce high intensity noise by up to 30 dB while freely transmitting low intensity noise in a way that will not interfere with the natural means of the user to locate the directions of sounds.

TRITON SYSTEMS, INC.
200 TURNPIKE ROAD
CHELMSFORD, MA 01824
Phone:
PI:
Topic#:
(978) 250-4200
Tyson Lawrence
N123-154      Awarded: 2/1/2013
Title:True Awareness Hearing Protector(1001-920)
Abstract:The use of passive hearing protection that protects against transient impact noise and at the same time allows ambient sound will enable Marines to continue to hear and respond in combat, thereby enhancing situational awareness, while blocking and/or reflecting harmful blast shock waves in the ear canal. Current ear plugs and over-the-ear muffs block both loud sounds and the sound of normal speech. As a result, they are not worn when needed, or are worn in a manner that permits normal verbal communication but that makes the devices ineffective for hearing protection. An inexpensive earplug design is proposed that will provide protection from high noise levels without impeding auditory awareness.

Nanocomposix, Inc.
4878 Ronson CT STE K
San Diego, CA 92111
Phone:
PI:
Topic#:
(858) 565-4227
Richard Baldwin
N123-155      Awarded: 2/1/2013
Title:Field Drying System using no power for clothing and boots
Abstract:Wet clothing and footwear creates discomfort and can impede performance and morale for DoD personnel. During the Phase I research period a portable, reusable, light and efficient method to accelerate the moisture removal from difficult to dry pieces of clothing such as combat boots will be developed. The drying device is based on a nanocomposite paper that absorbs and transports water from the interior of a wet boot to an area outside the boot where drying is accelerated. The paper is antimicrobial and can be rapidly regenerated after use.

Oceanit Laboratories, Inc.
Oceanit Center 828 Fort Street Mall, Suite 600
Honolulu, HI 96813
Phone:
PI:
Topic#:
(808) 531-3017
Ashavani Kumar
N123-155      Awarded: 2/1/2013
Title:Field Drying System using no power for clothing and boots
Abstract:The proposed effort is focused on developing a passive field drying system termed as “DrySAF” that will allow marines to dry overnight their clothing system such as boots, uniform, etc. Oceanit will develop a hybrid nanocoposite material that has the capacity to absorb water rapidly from wet clothing. In Phase I, Oceanit will focus on developing the proposed materials and demonstrate its performance through standard tests.

Physical Optics Corporation
Products and Engineering Division 1845 West 205th Street
Torrance, CA 90501
Phone:
PI:
Topic#:
(310) 320-3088
Pedram Boghrat
N123-155      Awarded: 2/1/2013
Title:Superabsorbent Polymer Cloth
Abstract:To address the Navy’s need for a field drying system for clothing and boots that uses no power, Physical Optics Corporation (POC) proposes to develop a new Superabsorbent Polymer Cloth (SAPCLOTH). This proposed device is based on a new design that utilizes POC-developed and tested components and commercial off-the-shelf (COTS) superabsorbent polymer materials, along with new system integration. The innovation in the SAPCLOTH multilayered fabric will enable it to rapidly dry boots and clothing without the use of a power source. As a result, this technology offers repeated drying, light weight, portability, low cost, safety, nontoxicity, and environmental friendliness, which directly address requirements of the Combat Clothing Program in PM ICE. In Phase I, POC will demonstrate the feasibility of the SAPCLOTH using a safe and affordable prototype to dry boots and clothing. In Phase II, POC plans to test an enhanced prototype in a combat-type environment at an approved government test facility, provide a test report, prepare a cost and manufacturing plan, optimize the number of drying cycles, establish protocols for testing and verification with the Marines, and provide samples for user evaluation.

Corvid Technologies, Inc.
145 Overhill Drive
Mooresville, NC 28117
Phone:
PI:
Topic#:
(704) 799-6944
Trevor Anderson
N123-156      Awarded: 2/1/2013
Title:Post-IED Hull Inspection Tool
Abstract:On today’s battlefields, vehicles are at risk of encountering improvised explosive devices (IEDs). Fortunately, not all of these result in complete vehicle loss. Sending a vehicle back to the depot for overhaul when it could have stayed in operation, wastes precious resources. Conversely, leaving a damaged vehicle in operation without some level of confidence that it can withstand a second blast places a higher risk on the soldier. As such, the Marine Corps needs a reliable tool that can gauge post-IED hull damage against standardized thresholds. Leveraging expertise in ballistic armor damage and structural response, Corvid Technologies proposes an approach to identify damage thresholds that require repair. We will then evaluate emerging and available technologies for use in aiding Battle Damage Assessment and Repair (BDAR). In Phase I, Corvid will design a toolset to provide standardized go or no-go BDAR decisions. A Phase II test and evaluation plan will be outlined and will ultimately lead to a device that is TRL 7 or greater by the end of Phase II.

Evisive, Inc.
8867 Highland Rd.
Baton Rouge, LA 70808
Phone:
PI:
Topic#:
(215) 962-0658
Karl Schmidt
N123-156      Awarded: 2/1/2013
Title:Post-IED Hull Inspection Tool
Abstract:This project will identify a toolset which can be used by forward deployed Marines to assess structural damage to combat vehicles hulls following IED events. Improving the quality of Battle Damage Assessment in the field will reduce safety risk from vehicles returned to service without inspection, improve vehicle availability for vehicles unnecessarily sent to higher echelon for repair, as well as reducing cost for unnecessary returns or improperly scrapped equipment.In the Phase I project, Evisive will identify combinations of COTS and novel equipment which can be organized in a Toolset suitable for conduct of a Battle Damage Assessment and Repair (BDAR) inspection in a field environment. Evisive will work with the Marine Corps to identify target vehicles and armor systems, and will evaluate NDE technologies based on failure characteristics mutually established with the Marine Corps. Evisive will develop a specification, conceptual design, and plan to develop and test a toolset for post-IED hull inspection in the field. In addition to effective detection of the failure characteristics in individual materials, the tools must have ruggedness appropriate to forward deployment field use; user training requirements compatible with vehicle crew skills; and, applicability in adverse conditions including coatings and debris.

Physical Optics Corporation
Products and Engineering Division 1845 West 205th Street
Torrance, CA 90501
Phone:
PI:
Topic#:
(310) 320-3088
Alexander Naumov
N123-156      Awarded: 2/1/2013
Title:Comprehensive Hull Inspection and Damage Assessment System
Abstract:To address the Navy need for damage assessment of vehicle hulls attacked by improvised explosive devices, Physical Optics Corporation (POC) proposes to develop a new Comprehensive Hull Inspection and Damage Assessment (CHIDA) system. It comprises infrared (IR) three-dimensional (3D) vision and stroboscopic shearography modules, innovatively integrated into a single device. The proposed standalone system can be mounted on a compact mobile platform or an industrial shop floor. Operation is controlled by a data processor with a fuzzy logic go/no-go decision engine. Innovative implementation of IR techniques in 3D vision and shearography will allow accurate detection of material irregularities in hull and armor due to hidden cracks, work hardening, and stress fractures. The system will operate through paint and chemical-agent-resistant coatings to conduct battle damage assessment and repair (BDAR) analysis. As a result, this CHIDA system offers comprehensive roadside assessment of hull and armor damage to Marine Corps vehicles, which directly addresses the Navy requirements. In Phase I, POC will demonstrate the feasibility of the CHIDA system through detection of various types of damage in lab tests on prepared coupons. In Phase II, POC will develop a full-scale fieldable system prototype for effective BDAR inspection of vehicles with blast damage.

SA Photonics
130A Knowles Dr.
Los Gatos, CA 95032
Phone:
PI:
Topic#:
(650) 434-2779
Frank Muennemann
N123-156      Awarded: 2/1/2013
Title:Post-IED Hull Inspection Tool
Abstract:US and Coalition ground forces depend on armored vehicles for protection from small arms fire, rocket propelled grenades (RPGs) and especially from IEDs during their patrols. Rapid and reliable Battle Damage Assessment and Repair (BDAR) analysis in the field is critical because a vehicle may be attacked more than once on a given patrol. The Battle Damage Assessment Tool (BDAT) is a self-contained, compact and rugged device that measures armor deformation, penetration, cracking and work-hardening, then presents a graphical BDAR analysis to support a go/no-go decision, whether to return the vehicle for repair or continue the mission. BDAT reports optionally can be transmitted digitally to other locations such as vehicle maintenance facilities for further interpretation and support. BDAT does not require modification of the vehicle for its operation, and functions on all types of metal plate armor as well as composite armor and armor covered with nonconductive materials such as Chemical Agent Resistant Coating (CARC). A BDAT unit accesses a vehicle-specific, position-indexed database, enabling the system to correctly distinguish battle damage from already-repaired damage or armor irregulatities such as weldments. The vehicle-specific database can be carried with the BDAT or with each vehicle.

SURVICE Engineering Company
4695 Millennium Drive
Belcamp, MD 21017
Phone:
PI:
Topic#:
(410) 273-7722
John Hersey
N123-156      Awarded: 2/1/2013
Title:Post-IED Hull Inspection Tool
Abstract:SURVICE Engineering is proposing an innovative and reliable combination of cutting-edge technologies currently employed in SURVICE’s core business operations for the post-IED hull inspection toolset, which will allow forward-deployed Marines to rapidly collect all relevant data for the assessment of structural damage to combat vehicles. As an industry leader in survivability analysis, SURVICE has the expertise to identify and provide all of the tools required for such a toolset, such as procedural inspection and standardization methodologies, rapid-acquisition, metrology-grade damage detection hardware, and mobile data acquisition, visualization and centralization applications. Many of these tools are based upon SURVICE-developed and/or SURVICE-proprietary technology, making the proposed toolset both a unique and optimal solution for post-IED damage assessment.

Beck Engineering
1490 Lumsden Road
Port Orchard, WA 98367
Phone:
PI:
Topic#:
(360) 876-9710
Douglas Beck
N123-157      Awarded: 3/14/2013
Title:Efficient, Cost-Effective, Low-Emissions Method to Cutting Nuclear Submarine and Aircraft Carrier Hulls
Abstract:The Navy needs a metal cutting system for submarine and aircraft carrier hull disposal. We propose to develop a Hull Cutting Mill (HCM) to meet Navy needs. Our HCM uses a compact high-speed high-power hydraulic milling head to perform slot-milling and achieve a fast lineal speed cutting high-tensile steel with a man-handle-able machine. Our HCM uses environmentally friendly water for its hydraulic fluid. The cutting path of our HCM can be varied to avoid obstructions. Our HCM is automatically controlled, so our HCM produces a cut with a single command. Our HCM is made from hardened stainless-steel materials that are suitable for open-weather, salt waterfront environments. In Phase I, we will project the performance of our HCM based on similar machines we have built in related work. In Phase II, we will demonstrate the ability of a prototype HCM to meet Navy requirements for the Improved Hull Cutting Operation System. In Phase III, we will support the Navy in transitioning our HCM for Navy use, and we will supply variants of our HCM for many applications in the government and private sector.

Native American Technologies Company
P.O. Box 39
Golden, CO 80402
Phone:
PI:
Topic#:
(720) 232-3490
Jerry Jones
N123-157      Awarded: 3/14/2013
Title:Efficient, Cost-Effective, Low-Emissions Method to Cutting Nuclear Submarine and Aircraft Carrier Hulls
Abstract:Develop a new steel cutting process which will significantly increase the cutting rate of ship hull material for shipbreaking. In addition, the process will reduce the fume and smoke emissions to within Navy and civilian requirements and the opacity of particulate emissions to within Navy and civilian requirements.

Ascendant Engineering Solutions LLC
12303 Technology Blvd. Suite 925
Austin, TX 78727
Phone:
PI:
Topic#:
(512) 744-1804
Greg Mooty
N123-158      Awarded: 3/12/2013
Title:Large Displaement, Tuned Deck Simulating Fixture for Medium Weight, Shock Isolated Equipment
Abstract:Ascendant Engineering Solutions (AES) proposes to develop a Large Displacement, Tuned Deck Simulating Fixture for Medium Weight, Shock Isolated Equipment (LTMS) to address the Navy SBIR topic N123-158 - Innovative Approach to Low Cost Shock Testing Fixture for Medium Weight, Shock Isolated Equipment. The AES LTMS concept incorporates a Large Displacement Mechanism (LDM) to provide the large displacements (greater than the 3” MWSM anvil travel) that produce damage to resiliently-mounted equipment, combined with a Deck Simulating Fixture (DSF) tunable to 7, 10, 14, 20, and 28 Hz. AES will complete design trades including linear and nonlinear analyses to develop an optimal configuration that meets the LDM, DSF requirements as well as weight and size / interface constraints of the MWSM. Like the AES’ Weapon Shock Simulator used by the US Army, AES proposes to integrate an automated shock measurement, and analysis tool to verify compliance to requirements. AES’s Phase I base and option plan provide a means to quickly develop a prototype in a Phase II program, and AES will work with their network of large defense company partners to rapidly transition this technology to a product.

Hi-Test Laboratories, Inc
P.O. Box 87 1104 Arvon Rd.
Arvonia, VA 23004
Phone:
PI:
Topic#:
(434) 581-3204
Steve McCampbell
N123-158      Awarded: 3/12/2013
Title:Innovative Approach to Low Cost Shock Testing Fixture for Medium Weight, Shock Isolated Equipment
Abstract:Despite being within the payload capacity of the Medium Weight Shock Machine (MWSM), shock qualification testing of medium weight (500 – 4500 lbs) Class II equipment must currently be performed through underwater explosion (UNDEX) testing using a Floating Shock Platform (FSP), typically in combination with a Deck Simulator Fixture (DSF). A significant cost savings could be realized if these medium weight Class II items were able to be shock tested using the MWSM. To achieve this savings, a fixture and MWSM test procedure must be developed to adequately simulate the dynamic environment and thus produce the critical failure modes of these equipment items. An evolutionary design approach is proposed wherein the unique features of a deck fixture and a tipping flyer plate fixture concept are to be integrated into a low-frequency, tunable, multi-directional MWSM fixture design offering broad capabilities. This performance of fixture design concepts relative to the target FSP/DSF shock test environment and accompanying test objectives will be evaluated through advance modeling and simulation techniques.

Charles River Analytics Inc.
625 Mount Auburn Street
Cambridge, MA 02138
Phone:
PI:
Topic#:
(617) 491-3474
Avi Pfeffer
N123-159      Awarded: 4/1/2013
Title:Mission Analytics and NetOps Awareness (MANA)
Abstract:Success of global military operations requires access to data, data exchange, and situational awareness (SA) based on timely and trustworthy information. Commanders need to know in advance that relevant, accurate data will be available. If there is doubt about its availability, they need to know this so they can make contingency plans. Therefore, accurate and timely SA of network operations (NetOps) is critical to the successful execution of naval functions. Any solution for providing SA of NetOps must function within the distributed, decentralized environment of US naval functions. In addition, the network components of military systems are rich, complex, and dynamic, and we expect NetOps SA to be rife with uncertainty. Under Mission Analytics and NetOps Awareness (MANA), Charles River Analytics will use distributed probabilistic relational models (PRMs) to provide timely and accurate SA of NetOps under uncertainty, to support mission-critical decision-making. Because PRMs model a situation as a set of objects and relationships between the objects, they are very capable of modeling and reasoning about uncertainty while capturing the richness and complexity of a situation. PRMs’ object-oriented nature also makes them well- suited to a distributed implementation.

Harmonia Holdings Group
2020 Kraft Drive, Suite 1000
Blacksburg, VA 24060
Phone:
PI:
Topic#:
(540) 951-5900
Marc Abrams
N123-159      Awarded: 4/1/2013
Title:The NetOps/Mission Clearinghouse (NOMC) to Connect Cyber and Maritime Domains
Abstract:Our work is concerned with solving a growing need to identify and assess the impact of attacks on the U.S. Navy’s vast and heterogeneous networking infrastructure; to report those attacks and impacts to the Maritime domain; and to enable command and control (C2) of those domains as an adjunct capability to traditional maritime C2. Right now the two domains are disjoint, because the cyber side is typically an outgrowth of non-military concepts and data representations from network monitoring, management, defense, intrusion detection, etc. But linking them is essential. ADM Roughead, former Navy CNO, on 19 October 2007 stated, “The opening rounds of the next war will be in cyberspace – the Navy must be ready to prevent wars as well as win them; to do that, we must understand how we will live, operate, and win in cyberspace.” Harmonia proposes a system called NetOps/Mission Clearinghouse (NOMC) that implements a service for delivering NetOps data with near-real time delivery. NOMC connects the Cyber and Maritime domains, using new methods drawn from the best techniques for enterprise service implementation, AI, machine learning, scalable distributed file systems in clouds (e.g., Hadoop, MapR), and scalable SQL-free databases (e.g., HBase, Accumulo, CloudBase).

Intelligent Automation, Inc.
15400 Calhoun Drive Suite 400
Rockville, MD 20855
Phone:
PI:
Topic#:
(301) 294-4763
Kyung Kwak
N123-159      Awarded: 4/1/2013
Title:Highly scalable and autonomous NetOps Analytics (SANA) system for Navy tactical networks
Abstract:Todayfs naval networking environment is primarily composed of several enterprise computing and communications environments, which can be characterized as large scale heterogeneous network environments. Due to the inherited complex and heterogamous nature of network, it is quite challenging to provide synchronized view of data, autonomous analytics from geographically dispersed, large volume of data. To overcome such challenging issues, Intelligent Automation, Inc. propose to develop a highly scalable and autonomous NetOps Analytics (SANA) system, which defines and captures abnormalities in information and network behaviors to generate alert if any abnormalities are detected. In addition, proposed TANA system maps missions into required resources and guarantees synchronized information sharing to increase level of information value, health and trust.

Diversified Technologies, Inc.
35 Wiggins Ave.
Bedford, MA 01730
Phone:
PI:
Topic#:
(781) 275-9444
Fred Niell
N123-161      Awarded: 2/28/2013
Title:DYNAMIC TUNER FOR NARROW-BAND VLF SUBMARINE COMMUNICATION TRANSMITTING SYSTEM
Abstract:DTI proposes to investigate several potential approaches to dynamic tuning to down-select to an optimal solution, based on cost, technical robustness, and serviceability, from which to build and test a dynamic tuning system for use at one or more U.S. Navy VLF station(s). DTI will explore each of these options in Phase I, using advanced materials, techniques, and simulation tools to create a cost-effective solution for VLF dynamic tuning. DTI will utilize significant internal experience and specific familiarity with VLF systems, and is highly cognizant of the importance of controlling carrier frequency harmonics and modulation sidebands.

Physical Optics Corporation
Electro-Optics Systems Division 1845 West 205th Street
Torrance, CA 90501
Phone:
PI:
Topic#:
(310) 320-3088
John Matthews
N123-161      Awarded: 2/28/2013
Title:Modular Dynamic Tuner for Improved VLF Antenna Transmit Efficiency
Abstract:Addressing the Navy’s need to provide a means for high-power very-low-frequency (VLF) transmitting systems to broadcast more efficiently and effectively, Physical Optics Corporation (POC) proposes to develop a new Modular Dynamic Tuner for Improved VLF Antenna Transmit Efficiency (MODULATE). Based on a modular architecture, this proposed tuner incorporates robust components proven to operate at over 10 MVA. The modular architecture allows a variable number of identical modules to be operated in conjunction to enable compatibility with all five VLF transmitting systems operated by the Navy. The tuner inductance can be accurately controlled over millisecond timescales, allowing MODULATE to tune the antenna in sync with the 200-baud MSK modulation without generating sideband or high order harmonics during the tuning transition. As a result, MODULATE will dramatically increase the transmit efficiency of VLF systems and allow them to operate effectively as broadband VLF systems, which directly addresses the Navy requirements for submarine communications. In Phase I, through detailed analysis and modeling, POC will demonstrate that MODULATE addresses all objectives and technical risks. In Phase II, POC plans to build a prototype tuner module and test it at a Navy low-frequency test facility.

Intelligent Automation, Inc.
15400 Calhoun Drive Suite 400
Rockville, MD 20855
Phone:
PI:
Topic#:
(301) 294-5241
Renato Levy
N123-162      Awarded: 4/25/2013
Title:SCAN-Fault: Scalable Autonomic Fault Detection and Root-Cause Analysis in a Heterogeneous Network
Abstract:To support reliable and secure communications, a suitable network analysis tool is needed for accurately and efficiently detecting, diagnosing, and predicting faults in the network. In tactical networks, faults can be very common, and are typically hard and time consuming to detect, isolate and fix. Moreover, in a heterogeneous network, a small network problem along any part of an end-to-end path can potentially degrade the user experience significantly. But identifying and resolving this problem may require knowledge and action across different domains and planes. Furthermore, fault analysis schemes designed for the traditional networks are not fully suitable to wireless networks such as mobile ad hoc networks and cognitive radio networks. To address these issues, Intelligent Automation, Inc. (IAI) proposes to develop a SCalable AutoNomic Fault detection and root-cause analysis (SCAN- Fault) scheme that can analyze the monitored network as a whole and assist the users (i.e., network operators) in maintaining, optimizing, and securing the managed network. The proposed approach will significantly improve the reliable and secure access to battlefield network, and reduce the cost and risks for network management.

Veriflow Systems Inc
1509 Quaker Hollow Ct S
Buffalo Grove, IL 60089
Phone:
PI:
Topic#:
(607) 351-4828
Serena Chan
N123-162      Awarded: 4/25/2013
Title:Analyzing the Data-Plane in a Heterogeneous Network
Abstract:We will develop and evaluate algorithms for a system, Veriflow, which can automatically reason about security and correctness of computer networks in real time. Veriflow operates by scanning a network, constructing a formal model of the network's behavior, and using custom formal logic algorithms to automatically derive whether the network contains inconsistencies, errors, or violations of specified invariants. Veriflow will confirm correctness, or provide a specific example vulnerability if one exists. Moreover, our algorithms are real-time: Veriflow can vet networks continuously as the network state evolves, detect transient errors and signal immediate alarms, and scale to large and highly dynamic environments.The key personnel are well-qualified. We previously developed two prototype network verification systems. Initial evaluations of our systems have found 23 real bugs in a real operational network of 178 routers, and scaled to networks of a several hundred devices while performing network-wide checks in less than one millisecond. This proposal will extend these prototypes with verifiers for a much richer set of policies and algorithms to support a much wider range of devices, providing a flexible platform for reasoning about network behavior. We will also extensively evaluate our algorithms using real operational network snapshots, ensuring millisecond-level verification latency.

D-Tech, LLC
13800 Coppermine Road, Suite 300
Herndon, VA 20171
Phone:
PI:
Topic#:
(304) 268-8398
Aaron Weikle
N123-164      Awarded: 4/17/2013
Title:Reducing Bandwidth Requirements for Cybersecurity Information Exchanges
Abstract:One of the biggest challenges in network and application surveillance is how to deal with huge amount of sensor and scanning data generated from various devices, as more federal agencies and organizations are continuing expending their networks. The feed of the monitoring and scanning data often rely on the same network for delivery, so large amount of monitoring data could also cause network congestion if the surveillance tools and processes were not configured properly, especially for networks with limited capacity and bandwidth. In this SBIR research, D-Tech is proposing an innovative solution to address the data overflow problems between a CSIRT center and a network management node. We will leverage the latest cyber security standards, encoding/compression technologies, and industry best practices. We will investigate existing cybersecurity standards and data minimization technologies, and deliver an architecture design for a software tool called Security Content Transponder (SCT) for facilitating real-time security management and incident reporting, utilizing various data minimization techniques, and advanced data compression using the Efficient XML Interchange (EXI) standard. We will perform a comprehensive design of the SCT during base period, and implement a SCT prototype during option period as a proof of concepts for subsequent development in Phase II.

Promia, Incorporated
160 Spear Street Suite 320
San Francisco, CA 94105
Phone:
PI:
Topic#:
(609) 252-1853
Bill Reynolds
N123-164      Awarded: 4/17/2013
Title:Reducing Bandwidth Requirements for Cybersecurity Information Exchanges
Abstract:The Reducing Bandwidth using a Lightweight Analytic Discovery Environment (RBLADE) research and development effort will explore techniques for improving the ability of a Cyber Incident Response Team (CIRT) Analyst to conduct full, in-place, forensic analysis of remote networks and hosts in spite of greatly reduced network bandwidth. Two complementary approaches will be explored. The first approach is to reduce the bandwidth required to transfer information already collected by CND products that are local to the incident. The RBLADE intends to accomplish this reduction by eliminating the need to transfer context information in each log message. The second approach is to develop a remote code deployment and execution infrastructure, supported by command and control messages in the RBLADE protocol, which allows detailed automated forensic analysis to be conducted local to the detailed incident data, with only summary results being returned to the CIRT Analyst.

Real-Time Innovations
232 E. Java Drive
Sunnyvale, CA 94089
Phone:
PI:
Topic#:
(408) 990-7404
Eric Murray
N123-164      Awarded: 4/17/2013
Title:Reducing Bandwidth Requirements for Cybersecurity Information Exchanges
Abstract:Computer Network Defense (CND) relies on sensors to observe hosts and networks. Functions include pattern or signature matching against known hostile profiles, anomaly detection, log file analysis and raw packet capture and analysis. Many of these processes, especially raw packet analysis, generate large amounts of data. Incidents can occur at locations remote from a cybersecurity incident response team. Cybersecurity communications formats, schemas and protocols use data encoded in XML, which is not an efficient data encoding method. These protocols include SCAP, IODEF and CYBEX. Additionally, cybersecurity systems collect large raw log files from hosts, routers, switches and other devices, for future analysis. To solve this bandwidth problem, RTI proposes a set of four solutions. First is an XML protocol converter which converts XML messages of various protocols into RTPS, significantly reducing transmission overhead. Second is to use the RTI Limited Bandwidth Plugins to reduce RTPS header size, compress cybersecurity data and apply other techniques to enable transmission on a limited bandwidth channel. Third, to use RTI sender-side filtering to limit the types of messages sent during normal operation while allowing a cybersecurity incident response team to increase reporting granularity in response to a security event. RTI also proposes to use its upcoming OMG standard Secure DDS product to secure cybersecurity messages against modification. Secure DDS is more applicable to unreliable and low bandwidth connections than current data integrity solutions.

---------- DARPA ----------

12 Phase I Selections from the 12.3 Solicitation

(In Topic Number Order)
LSP Technologies, Inc.
6145 Scherers Place
Dublin, OH 43016
Phone:
PI:
Topic#:
(614) 718-3000
David Sokol
SB123-001      Awarded: 1/31/2013
Title:Adhesive Bond Strength of Bonded Structures in Confined Locations
Abstract:Composite structures are the future of aviation. They reduce weight and improve fuel efficiency. Composite structures are now incorporated into aircraft by all major aerospace manufacturers. Many composite structures are assembled with fasteners, but, to meet future design requirements, manufacturers need adhesive bonding for their composite structures. In order for the industry to determine the safety and integrity and certify these aircraft, the adhesive bonds in these structures must be tested to verify the manufacturing process and, in subsequent depot level maintenance to confirm they are still adequate. There is no conventional non-destructive testing method available to assure that the bond strength is adequate for service. An inspection technology developed at LSP Technologies, Inc. offers a solution to evaluate the strength of adhesive bonds in bonded structures. This inspection technique is a local proof-testing method that applies a well-controlled dynamic tensile stress to the composite structure and senses inadequacies of these hard-to-detect weak adhesive bonds in response to the tensile stress. The tensile stress is generated by a pulsed laser beam interaction at the surface of the composite material. The controlled local stressing of the composite material has no effect on the material or properly bonded structures.

Resodyn Corporation
130 North Main Street Suite 600
Butte, MT 59701
Phone:
PI:
Topic#:
(406) 497-5212
Peter Lucon
SB123-001      Awarded: 1/31/2013
Title:An Advanced NDE Approach to Determine the Adhesive Bond Strength
Abstract:Bonded composite materials offer considerable opportunity to reduce manufacturing cost, improve structural performance, and improve fuel efficiency of aircraft. However, bonded composite aircraft structures continue to be a challenge to manufacture due to the certification requirement to determine the strength of the bonds in the structures - before they are placed into service. Current testing techniques involve statically loading the structure to some specified load level to place the bond line under load. If the bond does not fail, it is determined to be acceptable and the structure is placed into service. This test method is costly and time consuming. The proposed solution provides a method to test the entire bond at a near uniform shear. If the bond is within specification, the technology would be non-destructive. However, if the bond were weaker than the specified value, the bond would fail. A single bond evaluation procedure will both proof load the bond and detect bond failures. The proposed technology tests the entire bond and not a few points along the bond joint as with laser bond inspection technology. The project would take the technology from inception (TRL 2) to a TRL of 7-8 at the end of the SBIR funding.

SCIENCETOMORROW, LLC
PO Box 7562
Woodbridge, VA 22195
Phone:
PI:
Topic#:
(877) 203-7673
Subhadarshi Nayak
SB123-001      Awarded: 1/31/2013
Title:BOND-M: Bond Observation and Non-Destructive Measurement Technique
Abstract:ScienceTomorrow proposes to develop a novel Bond Observation and Non-Destructive Measurement (BOND-M) technique for measuring bond strength of adhesively joined composites. BOND-M will employ high-intensity focused ultrasound stress waves directed at a small region within the adhesive layer to rapidly proof test the bond while simultaneously observing for bond damage and defects and verifying successful bonding. The BOND-M device, positioned on a surface, can steer the focused beam to proof test the bond at multiple locations deep inside or on the edge of the composite structure. By traversing the device parallel to the longer dimension of a composite primary structure, entire bond-joints can be tested rapidly. Local quantitative bond strength measurement can be used for process control and monitoring. Validation of the bond strength measurement will be accomplished by employing a destructive method on identical samples. BOND-M measurement with a statistical sampling scheme will enable rapid aviation certification while maintaining the structural integrity of composites and helping to prevent surprise failures.

Aptima, Inc.
12 Gill Street Suite 1400
Woburn, MA 01801
Phone:
PI:
Topic#:
(781) 496-2467
Georgiy Levchuk
SB123-002      Awarded: 1/29/2013
Title:CERTAIN: Certainty Enrichment via Relational and Temporal Analytical Indexing of Networks
Abstract:Efficient and accurate indexing is fundamental to the Big Data enterprise, but traditional indexing techniques are often foiled by noise and missing information. Aptima proposes CERTAIN (Certainty Enrichment via Relational and Temporal Analytical Indexing of Networks), a solution that advances several areas of large dataset indexing and applies them to the domain of cyber analysis. We will develop an enhanced indexing approach that will retrieve data that traditional indexers would miss. Our enriched indexing approach will rely on inference algorithms that extract high level features in temporal and relational datasets. In the temporal domain, we will detect patterns of temporal behavior by learning categories of records that share qualitatively similar characteristics. In the relational domain, we will detect subnetwork primitives that highlight regions of a dataset that share similar properties. We will demonstrate how inference-enriched indexing improves the retrieval of relevant data by intelligently managing noisy datasets. Our research and development effort will focus on a cyber dataset, but our approach will extend to other data sources that have temporal or relational components.

Map Large, Inc.
PO BOX 8482
Atlanta, GA 31106
Phone:
PI:
Topic#:
(404) 217-0457
Glenn Kirbo
SB123-002      Awarded: 2/4/2013
Title:Indexing large scientific data
Abstract:Hadoop style systems have done an excellent job of providing scalable long term disk bound data storage and enjoy wide acceptance in both Government and the private sector. However, Hadoop implementations suffer from performance limitations with respect to whole set aggregates and real time interactivity that we believe can be solved by optimizing for local memory operations. The key performance driver is memory locality. A well written Hadoop process might sometimes achieve optimal memory throughput on an individual node, but the overall system does not generally result in optimal memory locality and thus frequently fails performance requirements. We propose to create a multi node data architecture that automatically optimizes for memory locality using a compressed column oriented architecture compatible with both CPU and GPU processing. The result will be a real time streaming architecture capable of indexing and querying large volumes of heterogeneous scientific data stored on clusters of cloud computers.

Qadium Inc.
Attn: Shaalu Mehra 379 Lytton Avenue
Palo Alto, CA 94301
Phone:
PI:
Topic#:
(978) 578-6691
Matt Kraning
SB123-002      Awarded: 1/30/2013
Title:Novel indexing, sampling, and streaming approaches for real-time data analysis
Abstract:New approaches to handling streaming data are required. By the time one wishes to index stored scientific data, critical decisions about what to store have already been made. We propose evaluating, extending, and implementing a suite of algorithms that use new indexing and sampling techniques to improve analytical performance on large heterogenous streams of scientific data beyond current state of the art.

Cambrian Genomics
665 Third St Suite 425
San Francisco, CA 94107
Phone:
PI:
Topic#:
(607) 592-0123
Anselm Levskaya
SB123-003      Awarded: 1/31/2013
Title:Massively Parallel Closed-Loop Gene Synthesis
Abstract:Large DNA molecules are synthesized by the enzymatic assembly of short DNA oligonucleotide 60-100bp in length. Currently, each DNA fragment is synthesized in relatively small numbers at an excessive macroscopic scale, incurring a large manufacturing overhead in production costs. It is possible to make these building blocks cheaply by building them on microarrays using controlled light or electronic arrays. However, microarray DNA is both extremely error-prone and comes as dilute, hypercomplex mixtures of tens of thousands of different species. To effectively use a large microarray library, they need to be sorted apart from one another and filtered such that only correctly synthesized pieces are used for the final assembly steps. We have built a system that does this physically using next-generation sequencers that sequence copies on beads of clonal DNA species sampled from the microarray. We then use high-speed pulsed lasers to eject the correct beads of each sequence into unique, specified combinations in 384-well plates for assembly into genes. We propose to develop an enzymatic pipeline to convert our sequenced, ejected beads into kilobase-sized fragments. This requires developing reactions for amplification, processing, and assembly of our sequenced ejection material.

Gen9
Suite 130 500 Technology Square
Cambridge, MA 02139
Phone:
PI:
Topic#:
(617) 250-8433
Ishtiaq Saaem
SB123-003      Awarded: 1/31/2013
Title:Next Generation synthesis of low cost, long length DNA Assemblies
Abstract:Gen9 is developing a DNA synthesis platform that aims to produce synthetic DNA products at an industry leading length, price point and turnaround time. In this proposal we outline our plans to meet the requirements of the solicitation: $0.05per base pair, 7 day order turnaround time and perfect sequences up to 20 kbp. Currently our technology allows our product to approach those requirements. Further development, supported by this program will allow Gen9 to meet and even exceed these product specifications. Gen9's platform combines low cost DNA synthesis and error correction, with next generation methods of identifying assembled products with perfect sequence fidelity. Perfect constructs can be sold as is, or used to produce longer length constructs. We also outline experimental and development effort to synthesize DNA at prices much cheaper and at lengths much longer than asked for in this solicitation.

Synthetic Genomics, Inc
11149 North Torrey Pines Rd.
La Jolla, CA 92037
Phone:
PI:
Topic#:
(858) 433-2236
Daniel Gibson
SB123-003      Awarded: 2/13/2013
Title:Rapid, Low-Cost, and High-Fidelity DNA Synthesis and Assembly Techniques
Abstract:We propose to build and demonstrate a highly parallelized automated DNA synthesis and assembly pipeline capable of producing 100% accurate DNA fragments up to 30 kb within 7 days of receiving DNA sequence, at a cost of less than $0.04/bp, and with a daily capacity of greater than 1Mb of synthetic DNA. The outcome of this work will be Synthetic Genomics Inc. (SGI) as a provider of synthetic DNA at a drastically lower cost and more rapid turnaround time by more than an order of magnitude compared to what is currently available. This would significantly enable and accelerate development of new products such as biofuels, biochemicals, and vaccines in academic, commercial, and government facilities.

Aurora Flight Sciences Corporation
9950 Wakeman Drive
Manassas, VA 20110
Phone:
PI:
Topic#:
(617) 500-4815
Jaime Ramirez
SB123-004      Awarded: 1/31/2013
Title:SURFACE: Simulation Utilizing Remote Facilities to Aggregate Control Environments
Abstract:The proposed effort will utilize a software API to link disparate N-DOF test bed facilities into a unified simulation. This API, called SURFACE (Simulation Utilizing Remote Facilities to Aggregate Control Environments), will allow for disparate test beds from remote facilities of different scale and function to run interlinked simulations in real time, where reaction forces are passed amongst the test beds via internet protocols. SURFACE will then display a combined-DoF simulation that shows the entire simulation working in a single simulated environment. Using the SPHERES--currently being flown on the International Space Station--test beds at MIT, the SURFACE API will be used to test and develop control algorithms for future Aurora projects including DARPAs Phoenix, to test distributed systems and cluster flight dynamics. This proposed effort is a way to enable affordable testing of advanced spacecraft architecture, and fulfills in a critical need in the space flight community for small and large companies alike.

Emergent Space Technologies, Inc
6411 Ivy Lane Suite 303
Greenbelt, MD 20770
Phone:
PI:
Topic#:
(512) 215-4977
Brendan O'Connor
SB123-004      Awarded: 1/31/2013
Title:Distributed Internet-enabled Simulation/Testbed Architecture
Abstract:Simulations that connect to testbeds are frequently used in space operations testing. Many of these testbeds have characteristics that are desirable to others in the field, but they are geographically distributed across the nation. The ability to connect multiple, remote testbeds to a single core simulation offers a significant enhancement of capabilities for multi- spacecraft programs such as F6 and Phoenix. Such remote access is not currently possible. We propose to develop an enabling architecture which transmits information about reference frame, kinematics, and dynamics from multiple testbed resources to a core simulation via the internet, while managing synchronization and latency. In Phase I, we focus on trade studies and surveys to resolve core data transmission and protocol requirements as well as lower program risk. The development effort culminates in an open-source standard architecture for remote simulation/testbed interfacing through an internet connection as well as software operating within this framework that can be deployed to connect a general simulation to testbeds across the country.

Heron Systems Incorporated
20945 Great Mills Road Suite 201
Lexington Park, MD 20653
Phone:
PI:
Topic#:
(301) 866-0330
Jason Summers
SB123-004      Awarded: 1/30/2013
Title:Realtime interlinked software for distributed Non-latent N-DOF operations
Abstract:An architecture for linking geographically disparate N-DOF test beds to facilitate real-time distributed operations is proposed. An industry supported middleware solution, OpenDDS, is proposed as a basis for the required simulation software. A survey of existing laboratory conditions is performed. Adaptation to existing laboratory conditions is provided through the abstraction of simulation requirements. Control, data fusion, and other necessary functions are provided as pluggable components. Investigation of approaches for reconstructing full dynamics from multiple reduced-order dynamic systems is undertaken. Techniques for combining the data from multiple simulations are characterized, verified and validated. Investigation of the effect of WAN latencies and laboratory latencies is conducted. A proof of concept test is conducted to establish the feasibility of the proposed architecture and data fusion algorithms.

---------- DTRA ----------

2 Phase I Selections from the 12.3 Solicitation

(In Topic Number Order)
Adept Analytics, LLC
1353 Forbes Dr.
Bloomfield Hills, MI 48302
Phone:
PI:
Topic#:
(248) 496-6278
William Smuda
OSD12-AU2      Awarded: 5/13/2013
Title:Model Driven Autonomous System Demonstration and Experimentation Workbench
Abstract:To achieve high-level strategic goals, DoD elements are investigating the potential of adding autonomy to unmanned assets. An autonomous system must be able to amend its “pre-loaded” plan by rapidly assessing the current situation, examining a number of possible outcomes, initiating a course of action and continuing to reassess its decisions and plan. Currently, data needed for training autonomous models, as well as response algorithms and heuristics, are limited for the system architect designing an autonomous platform. In areas where such data is available, such as observations of the recent DARPA Grand Challenge for autonomous automobiles, no well-developed system for identifying, archiving and maintaining useful information related to autonomous platform design exists. A well-defined framework for Autonomous Demonstration and Experimentation could collect real-world data, design decisions, requirements and experiment results into a scalable and intuitive workbench. This workbench will greatly aid the design of autonomous systems and identify gaps as well as provide management with actionable data.

TORC Robotics, LLC
2200 Kraft Dr, Ste 2050
Blacksburg, VA 24060
Phone:
PI:
Topic#:
(540) 443-6679
David C. Conner
OSD12-AU2      Awarded: 5/1/2013
Title:Domain-Specific Modeling Environment for Autonomous System Demonstration and Experimentation
Abstract:The TORC team, which includes Dr. Jonathan Sprinkle of the University of Arizona (UA), will develop enabling software and modeling methods for the Autonomous System Demonstration and Experimentation Workbench. The workbench will assist test engineers, systems engineers and analysts in designing and equipping autonomous unmanned vehicles for a variety of operations. The proposed work is based on over a decade of expertise in domain-specific modeling, autonomous vehicles, and software synthesis for large, complex systems. The team will design the workbench to serve both data input users - those who need to test and validate unmanned systems while extracting relevant information for the database - and data consumption users - those who need to use the workbench to perform systems engineering, missions CONOPS scenarios and other analytical tasks necessary to employ a highly complex unmanned, autonomous system.

---------- MDA ----------

24 Phase I Selections from the 12.3 Solicitation

(In Topic Number Order)
Corvid Technologies, Inc.
145 Overhill Drive
Mooresville, NC 28117
Phone:
PI:
Topic#:
(256) 457-6764
Peter Woods
MDA12-028      Awarded: 4/10/2013
Title:Improved Target Discrimination of Multiple Targets Using Bulk Filtering for Debris
Abstract:Corvid Technologies in collaboration with Dynetics, Inc (“Dynetics”) is pleased to present the following proposal to the Missile Defense Agency (MDA) SBIR solicitation MDA12-028 entitled Improved Target Discrimination of Multiple Targets Using Bulk Filtering for Debris. This proposal will demonstrate our plan to identify and evaluate signal processing techniques and algorithms that will minimize the system degradation caused by dense threat complexes, consisting of large numbers of uninteresting ballistic objects. We will discuss a Debris Bulk Filtering algorithm, we are currently developing, that will de-emphasize the non- threatening objects, allowing the MDA radar sensors to focus on the principal functions of acquiring, tracking, and discriminating the primary threat objects. We will evaluate the performance of this algorithm against multiple scenarios including cases where the primary threat objects are contained within debris originating from chuffing, separation, or intercept events.

Physical Optics Corporation
Information Technologies Division 1845 W. 205th Street
Torrance, CA 90501
Phone:
PI:
Topic#:
(310) 320-3088
Alireza Shapoury
MDA12-028      Awarded: 9/12/2013
Title:Preprocessing Method for Enhanced Aiming and Discrimination
Abstract:To address the MDA need to improve the performance of bulk filtering against nonthreatening flying objects, POC proposes to develop a new Preprocessing Method for Enhanced Aiming and Discrimination (PreMFEAD). This proposed technology is based on signal conditioning and statistical processing. The innovation in PreMFEAD will enable reliable and fast target acquisition, identification, and aiming, while performing target discrimination of multiple threatening and nonthreatening flying objects. As a result, this technology offers advantages not only in successful interception by rapid discrimination of explosive warheads from chuffing, deployment debris, and electronic countermeasure chaff, but also in increasing situational awareness by sifting nonthreatening clutter primitives out of radar signals, which directly address the MDA requirements. In Phase I, POC will demonstrate the feasibility of PreMFEAD by developing a new radar preprocessing system that is easily adaptable to a wide range of sensors (e.g., infrared) and applying it to simulated data. In Phase II, POC plans to further refine and optimize PreMFEAD to increase the system’s performance margins and demonstrate technology viability in a realistic environment using emulated data sets from multiple sensors. At the end of Phase II, the PreMFEAD system performance will be demonstrated in simulated cluttered and countermeasure combat environments.

Technology Focus LLC
P.O. Box 142
Covina, CA 91723
Phone:
PI:
Topic#:
(626) 253-1652
Paul L. Feintuch
MDA12-028      Awarded: 3/12/2013
Title:Improved Target Discrimination of Multiple Targets Using Bulk Filtering for Debris
Abstract:A processing approach is proposed for decluttering that does not require statistical characterization of clues to achieve a reduction in clutter. It is based on a non-parametric algorithm developed by TecFocus on Navy SBIR N00-008 Environmentally Insensitive Active Decluttering to address clutter rejection in an active sonar system. The MDA radar problem is quite similar. The algorithm provides reliable performance without tuning to clutter or environmental statistics. It therefore does not require large experimental data collection to set critical parameters, and does not degrade as a result of mismatch between assumed and actual conditions. It has been demonstrated on a Navy active sonar using selected clues relevant to ASW. The similarity of the processing structure of the X-band radar used by BMD to that of the sonar for which this processing was designed suggests that it could provide the same advantages to reduce clutter in the BMD mission. The question in the proposed effort is not whether the proposed processing works, but whether it can provide similar performance within the constraints of the BMD scenario. The objective is therefore to show the feasibility of tailoring the proven active sonar decluttering algorithm for application to the BMD radar.

Upstate Scientific
207 Winchester Dr
New Hartford, NY 13413
Phone:
PI:
Topic#:
(315) 527-2052
Richard Schneible
MDA12-028      Awarded: 3/12/2013
Title:Algorithm Development and Experimental Verification for Target Discrimination and Bulk Filtering of Debris
Abstract:The response of an object to a burst of electromagnetic energy consists of an early-time skin response (radar cross section or RCS) and late-time (target resonance or TR) returns. Measurements of these target characteristics may be integrated and exploited in the signal/data processor for suppression of non-threating targets such as debris and decoys, all prior to dedicated track processing, threat target discrimination/identification, intercept, and post intercept surveillance and track for damage assessment. The proposed program exploits and compares these two unique algorithmic approaches - target resonances (TRs) and radar cross-section covariance (CSC). Both of these approaches are based upon the underlying physics of electromagnetic (EM) scattering from exo-atmospheric objects: 1.) The TR frequency (or frequencies) of a resonant object depends directly on its shape and electrical size, 2.) For symmetrical objects (re-entry vehicles or RVs) a strong resonance occurs when the object size is exactly an integral number of wavelengths, 3.) Resonance frequencies are only function of the target shape and are aspect-angle independent, 4.) Signal amplitude of a TR frequency is only mildly aspect-angle dependent, 5.) For non- symmetrical objects, resonances are very low in amplitude (a significant indicator of the non- threating nature of the object.

Vadum
601 Hutton St STE 109
Raleigh, NC 27606
Phone:
PI:
Topic#:
(919) 341-8241
Eric Fails
MDA12-028      Awarded: 3/12/2013
Title:Feature Based Machine Leaning for Multiple Target Detection and Debris Mitigation
Abstract:In this research effort, Vadum will demonstrate the feasibility of a machine learning approach to address the problem of debris mitigation and improve multiple target discrimination. This algorithm is a very fast, highly accurate multi-class approach based upon the concepts of bagging (bootstrap aggregation), boosting and random subspace projection. This algorithm will allow for de-emphasis (probabilistic soft decisions) or suppression (hard decisions) of uninteresting scatterers, while maintaining ballistic missile target tracks within the BMDS (Ballistic Missile Defense System) threat environment. The approach inherently manages large data sets, high dimensionality, missing features and sample outliers while being cautious of over-fitting. The approach has been applied in the research areas of: malware/phishing/spam detection, ovarian cancer detection, protein interaction prediction, real-time human pose recognition and general feature selection. This proposal presents the novel application of this approach to ballistic target detection and debris mitigation.

Wavelet Technologies, Inc.
664 Pike Avenue
Attleboro, MA 02703
Phone:
PI:
Topic#:
(508) 222-6676
Robert Hohlfeld
MDA12-028      Awarded: 3/6/2013
Title:Improved Target Discrimination of Multiple Targets Using Bulk Filtering for Debris
Abstract:Wavelet Technologies, Inc. (WTI) proposes development of algorithms that process radar returns from dense threat complexes and attempt to discriminate between actual threats, countermeasures, and incidental debris generated from the rocket motor burnout and associated events. We term these objects collectively a Low Relative Velocity (LRV) debris field, in which the threat is embedded. Because practical radars cannot resolve objects in the LRV debris field, algorithms must operate only on range and Doppler data for determining the radar track. We propose to use expectation maximization (EM) algorithm that work on this basis to derive suitable object tracks without rejecting tracks for threats because a strict rejection threshold for tracks is not employed. These tracks will then be processed using a Bayesian classifier or a kernel Bayesian classifier to discriminate between threats and other objects in the LRV debris field. Simulations of this process will be conducted in Phase I using NASA’s orbital debris evolution program on modeled LRV debris. Radar observations will be taken at several simulated sites and combined in the tracking program to address data acquisition from multiple radar platforms.

Control Vision Inc.
PO Box 1547
Sahuarita, AZ 85629
Phone:
PI:
Topic#:
(208) 523-5506
Daniel Crawford
MDA12-029      Awarded: 3/12/2013
Title:Anchoring Post-Intercept Debris Prediction Tools
Abstract:The Missile Defense Agency’s (MDA) Lethality Program is seeking post-intercept debris data from hypervelocity missile impacts in an exoatmospheric environment for the development and verification of analytic debris models being developed by the MDA. Control Vision, Inc. proposes a stabilized, high-speed IR/visible Focal Plane Array sensor suite to provide high temporal resolution data of post-intercept debris field velocities and temperatures.

Corvid Technologies, Inc.
145 Overhill Drive
Mooresville, NC 28117
Phone:
PI:
Topic#:
(256) 457-6764
Peter Woods
MDA12-029      Awarded: 4/29/2013
Title:Anchoring Post-Intercept Debris Prediction Tools
Abstract:As MDA continues implementation of the Phased Adaptive Approach (PAA), robust operation of BMDS sensors within post-intercept debris environments will become more critical to successful operation of the larger BMDS. Due to a paucity of test data, development and performance testing of BMDS sensors in these dense debris environments must rely heavily on M&S capabilities. Several post-intercept debris prediction tools exist, although their ability to model high-velocity (>3 km/s) intercepts of complex threats and Non-Lethal Objects is not adequately vetted due to insufficient test data at these closing speeds. In order to fill this gap, flight test data at tactical closing speeds need to be better utilized for validation of M&S tools. Remote RF/IR sensor data collections are useful, but in situ data collections interrogating discrete debris pieces would provide more precise metric data for validation purposes. Here, we propose a debris tagging concept that would allow us to record essential data (e.g. velocity, size, temperature, etc.) for the largest target debris pieces created during these collisions. These data would then be used to validate post-intercept debris prediction tools in the phase space of interest for the BMDS.

Advanced Scientific Concepts, Inc.
135 E. Ortega Street
Santa Barbara, CA 93101
Phone:
PI:
Topic#:
(805) 966-3331
Barton Goldstein
MDA12-030      Awarded: 7/2/2013
Title:Detailed Lethality Assessments for Flight Test Events
Abstract:Defensive missiles are being developed to intercept reentry vehicles and tactical ballistic missiles before their conventional, chemical and nuclear warheads can reach their targets. Both hit-to-kill (HTK) interceptors and fragmentation warheads are being devised. The proposed R&D will develop an ultra-high speed framing camera that will photograph the last 100 microseconds before collision. Fifteen images of the collision will be taken in succession during the 100 microseconds with a resolution of 1 centimeter. By imaging the collision, the proposed ultra-high speed camera will directly record the physical properties in and around the warhead location to provide a definitive measure of the interceptor’s lethality. The proposed camera would also be valuable in the development of interceptors with the required accuracy.

Invocon, Inc.
19221 IH-45 South; Ste. 530
Conroe, TX 77385
Phone:
PI:
Topic#:
(281) 292-9903
Doug Heermann
MDA12-030      Awarded: 4/29/2013
Title:Hypervelocity Impact Damage Assessment
Abstract:Invocon, Inc. proposes the development and testing of a Hypervelocity Impact Damage Assessment system that can track the electrical charge dispersion created when a hypervelocity impact (HVI) occurs between two entities with a closing velocity greater than 1 km per second. This same system can measure the time of arrival (TOA) of the charge wave front at transducers placed throughout the vehicle. Using the known speed of light, minus the reactive effects of the skin of the vehicle on the “charge”, the system can calculate the exact point of impact. Further, the proposed system would capture the total Radio Frequency energy radiated and conducted from the HVI impact point as the charge wave front propagates throughout a structure. The radiated and conducted RF waveform signatures contain information as to the damage incurred as a result of the collision. The proposed system will collect, encode, and transmit the data needed to model the impact damage and project a visual simulation of the event to ground controllers and/or crew.

Capco Inc.
1328 Winters Ave.
Grand Junction, CO 81501
Phone:
PI:
Topic#:
(970) 243-8480
Chris Williams
MDA12-031      Awarded: 3/1/2013
Title:Innovative designs for reliable Electro-Explosive Ordnance Devices
Abstract:Through the use of innovative energetic materials, Capco proposes to improve the reliability, shelf life, EMI hardening and performance of EED devices.

SEA CORP
62 Johnny Cake Hill Aquidneck Corporate Park
Middletown, RI 02842
Phone:
PI:
Topic#:
(401) 847-2260
Barry Holland
MDA12-031      Awarded: 5/13/2013
Title:Innovative Designs for Reliable Electro-Explosive Ordnance Devices
Abstract:America’s ballistic missile defense system provides the only means currently available to protect it, and its allies, from a catastrophic attach by nuclear or conventionally armed ballistic missiles. A critical component of that system is the Interceptor missile, which relies of a number of electro-explosive devices (EEDs) to perform reliably in order to successful carry out its mission. MDA is seeking ways to improve on the EED’s reliability and lower the failure or inadvertent activation rate of these devices. SEA CORP proposes that instead of improving on the EED design, that EEDs be replaced by COTS automotive airbag inflators to perform the required pneumatic functions. These inflators have a proven reliability record of greater than 99.9999% and are currently produced in the millions per year by a number of manufacturers on highly automated production lines under very strict quality control methods. Inflators have been successfully used by SEA CORP in a number of pneumatic applications to do mechanical work, so adaption to the specific devices required in the Interceptor missile is entirely feasible. Interface with the devices is a threaded fitting, and the same electrical circuits that are used to activate EEDs can be adapted to the inflators.

Tanner Research, Inc.
825 S. Myrtle Ave.
Monrovia, CA 91016
Phone:
PI:
Topic#:
(626) 471-9700
Amish Desai
MDA12-031      Awarded: 5/22/2013
Title:NexGen Electro-Explosive Ordnance Device with BIT
Abstract:The most reliable one-shot electro-explosive ordnance device (EED) available for initiating next generation (NexGen) insensitive energetics is thought to be an exploding foil initiator (EFI) detonator, also called a slapper detonator. Slapper detonators are similar to exploding bridgewire (EBW) detonators but less prone to failure because the exploding foil is physically separated from the NexGen insensitive explosive charge (e.g., insensitive HNS- 4). We propose to leverage our reliable TRL-7 Initiation Safety Device (ISD) technology developed with insensitive EFI detonator specifically for initiating gun-launched warheads or igniting solid rocket motors (SRM). This high voltage in-line ISD has Safe and Arm, and Arm-Fire logic capable of providing the built-in test (BIT) functionality required. Phase I research will focus on developing, implementing and demonstrating an EED with self-test logic in prototype hardware. That is, demonstrating a high voltage in-line EED as detonating initiator and/or deflagrating igniter with BIT functionality. The BIT can be overlaid on the existing Safe and Arm logic contained in the ISD and used to control Arm and Fire signal separation, identification, and critical event timing.

Texas Research Institute Austin, Inc.
9063 Bee Caves Road
Austin, TX 78733
Phone:
PI:
Topic#:
(512) 263-2101
Doyle Motes
MDA12-031      Awarded: 2/27/2013
Title:Innovative designs for reliable Electro-Explosive Ordnance Devices
Abstract:Issues with electro-explosive device (EED) initiators on interceptors have caused the Missile Defense Agency (MDA) to investigate novel ideas to increase EED reliability. TRI/Austin proposes designing, fabricating, and testing novel electro-explosive devices utilizing magnetic saw initiators to increase reliability by incorporating a single point, insensitive failure mechanism. TRI/Austin will team with the Institute for Advanced Technology at the University of Texas at Austin, home to a world class pulsed power supply for prototype testing, and partner with Battelle, Inc. to develop a health monitor for the prototype. In Phase I, simulations and experiments will be conducted to develop magnetic saw bridges initiated with a specific electrical action and inherently insensitive to external stimuli. Specimens with and without artificial defects replicating reliability issues will be tested in Fire and No-Fire situations to examine the effects the defects cause. Discharge pressure will be recorded and matched to MDA specifications. Phase II will involve teaming with an EED manufacturer, evolving the laboratory initiator into a field-ready prototype, and developing a health monitor for the prototype. Research into magnetic saw initiators will develop insensitive, reliable, low cost EEDs for use in interceptors that ensure long service life, even after being in storage for years.

NanoSonic, Inc.
158 Wheatland Drive
Pembroke, VA 24136
Phone:
PI:
Topic#:
(540) 626-6266
Jennifer Lalli
MDA12-032      Awarded: 3/25/2013
Title:Time-Temperature Superposition for Predicting Reliability of Age-Sensitive BMDS Parts
Abstract:The useful lifespan of emerging state-of-the-art materials, or legacy materials that remain dormant within complex missile systems for long periods, are often unknown when actual lifetime service data is not available. This leads to unreliability, limitations on advancing system technology, and unnecessary maintenance. In support of the MDA’s Stockpile Reliability Program, NanoSonic offers our expertise in developing master curves for viscoelastic BMDS components as a proven systematic approach to accelerated aging testing for long-term durability predictions. Arrhenius time-temperature superposition (TTS) measurements will be conducted to predict the service life for polymer materials and electronic parts within current missile systems. During Phase I, feasibility of predicting the shelf-life of polymer missile parts shall be established by conducting real time aging testing in conjunction with accelerated aging studies to build confidence in the TTS shift curve results. A systematic approach to documenting system status, predicting system failures, and determining expiration dates of inactive parts shall be conveyed to the MDA during Phase II. This approach shall then be utilized on complex payloads and verified relative to naturally aged components. TRL 9 shall be achieved upon successful reliability assessments that reduce unnecessary costly inspections of multifaceted military and commercial systems.

Physical Optics Corporation
Information Technologies Division 1845 W. 205th Street
Torrance, CA 90501
Phone:
PI:
Topic#:
(310) 320-3088
Sergey Sandomirsky
MDA12-032      Awarded: 3/5/2013
Title:Missile Accelerated Aging Assessment and Reliability Prediction Methodology
Abstract:To address the MDA need for methodologies for long-term missile aging assessment and reliability prediction for polymer materials and electronic parts, Physical Optics Corporation (POC) proposes to develop a new Missile Accelerated Aging Assessment and Reliability Prediction (MA^3REP), based on thorough systematic analysis of existing age assessment technologies and reliability prediction methods with subsequent coupling of selected candidates to derive a cost-effective solution. The innovations in using a systematic approach for state-of-the-art technology analysis, missile aging assessment, reliability prediction, and integration with nondestructive testing and sensors are in full compliance with MDA requirements and will allow selection of an optimal suite of aging tests and reliability prediction methods relevant to extending shelf life of polymer and electronic parts of missiles. In Phase I, POC will demonstrate the feasibility of the MA^3REP methodology by constructing a prototype based on identification of proven technologies suitable for cost- effective coupling of age acceleration and advanced reliability assessment. In Phase II, POC plans to demonstrate a prototype methodology by using a complex missile or payload component for verification of the approach.

Texas Research Institute Austin, Inc.
9063 Bee Caves Road
Austin, TX 78733
Phone:
PI:
Topic#:
(512) 263-2101
Rock Rushing
MDA12-032      Awarded: 2/27/2013
Title:Long-Term Missile Aging Assessment & Reliability Predictions for Polymer Materials and Electronic Parts
Abstract:Methods have been recently developed by TRI/Austin Inc. that permit accelerated life testing (ALT) exposures at lower temperatures which are more realistic and that reduce the risk of introducing failure mechanisms that are not representative of actual service conditions. The feasibility of using these methods for ALT of missile subsystems will be investigated by the research team assembled, which includes a major missile propulsion defense contractor. The techniques to be used in the Phase I effort will include the use of thermal and non- thermal accelerated environments for aging missile components and materials. In addition, new approaches for quantifying levels of remaining life in materials after aging in multi- stress environments will be evaluated. Unique data analysis procedures and mathematical models will be utilized to extrapolate the life data obtained under accelerated conditions to reliability performance for the materials under dormant storage conditions. While this Phase I feasibility study specifically targets one type of missile component, the test and analysis protocol will be versatile enough to deal with other missile subsystems. These technical objectives will support the goals of the Stockpile Reliability Program that relate to identification of trends in missile reliability.

M.R.Research
8003 South Corona Way
Centennial, CO 80122
Phone:
PI:
Topic#:
(303) 795-4353
Reinaldo Perez
MDA12-033      Awarded: 3/29/2013
Title:Cost Effective, Reliable Service Life Extension Testing of Ordnance Devices
Abstract:The MDA Stockpile Reliability Program for interceptor ordnance devices is deficient because there are not health monitoring and built-in tests of the electronic components and ordnances of such devices that can assess their reliability due to the exposure of such devices to lengthy periods of environmental effects. In order to compensate for these deficiencies a series of reliability engineering life extension testing techniques, functional testing of aged components, and analytical methods/tools could be use to increase the confidence level for the long term reliability of ordnance devices. Therefore, there is a need to develop technically sound and cost effective methods for life extension of ordnance devices. We plan the investigation of test methods and techniques already used by industry and/or presently under research for life extension of manufactured products or devices; and how such techniques can be applied to ordnance devices, and we plan the investigation of analytical tools used by industry and research institutions for the purpose of enhancing long term reliability of devices and how such analytical techniques can be used in ordnance devices.

Polymer Aging Concepts Inc
372 River Drive
Dahlonega, GA 30533
Phone:
PI:
Topic#:
(706) 864-6304
Kenneth Watkins
MDA12-033      Awarded: 3/21/2013
Title:Smart Shelf Life Tag for Ordnance Health Monitoring
Abstract:Polymer Aging Concepts, Inc. proposes to develop a “Smart Shelf Life” (SSL) tag which provides a low cost health monitoring system for ordnance based on a new condition monitoring sensor technology called AgeAlert™. The AgeAlert sensor in SSL labels comprises a conductive composite element made from a tiny portion of desensitized double base propellant and conductive fillers. The sensor responds to the tiny mass loss resulting from stabilizer depletion during aging by a resistance change in the sensor. SSL tags, integrating the AgeAlert sensor into a passive wireless transponder such as a passive Radio Frequency Identification (RFID) tag are bonded externally to the monitored ordnance item, ordnance casing or packaging so that the AgeAlert sensor “sees” the same thermal environment as the ordnance device propellant. No embedment of the sensor into the propellant is required, not are any electrical connections required to the ordnance device. A handheld wireless RFID reader provides electrical energy to the SSL tag, queries the sensor and calculates remaining life of the ordnance device by use of sensor-propellant correlation models developed by acceleration aging of sensors and propellant samples. The SSL tags will provide individual propellant aging data for ordnance reliability and service life extension programs.

Mercury Data Systems
4214 Beechwood Drive Suite 105
Greensboro, NC 27410
Phone:
PI:
Topic#:
(336) 294-2828
John Taylor
MDA12-034      Awarded: 5/6/2013
Title:Correlation identification and evaluation of new technologies or methodologies to accurately measure inertial movement in a stressing flight environme
Abstract:We will develop and test a novel, low SWAP-C IMU design that achieves navigation grade accuracy.

Physical Optics Corporation
Photonic Systems Division 1845 W. 205th Street
Torrance, CA 90501
Phone:
PI:
Topic#:
(310) 320-3088
Shelly Mechery
MDA12-034      Awarded: 3/25/2013
Title:Ultra-miniature Inertial Measurement Sensor
Abstract:To address the Missile Defense Agency’s need to accurately measure inertial movement in a stressing flight environment, Physical Optics Corporation (POC) proposes to develop a new Miniature Inertial Measurement Sensor (MIMS). This proposed sensor is based on a solid- state accelerometer design with a semiconductor laser diode self-mixing interferometric technique and a microsphere gyroscope based on whispering gallery modes. Self-mixing interferometers and high-Q microresonators with whispering gallery modes are among POC’s mature technologies. We plan to combine these technologies to develop a less expensive and ultraminiature inertial measurement unit suitable for the flight environment. The innovative sensor design will enable fabrication of ultraminiature sensors capable of accurately measuring inertial movement. In Phase I, POC will test the feasibility of the proposed sensor system and carry out an experimental demonstration of sensor operation. In Phase II, POC plans to fabricate the full sensor system and proof of concept testing at government facilities.

Tanner Research, Inc.
825 S. Myrtle Ave.
Monrovia, CA 91016
Phone:
PI:
Topic#:
(626) 471-9700
Amish Desai
MDA12-034      Awarded: 5/24/2013
Title:Highly Elastic Sensors for High Shock Environments
Abstract:One advanced material found to survive high G-forces while making accurate inertial measurements is thermo plastic formed (TPF) Bulk Metallic Glass (BMG). Unlike MEMS- based silicon components which have historically shattered when used in higher-stress gun-launched applications, Tanner Research and Yale University successfully demonstrated BMG use as an alternative materials technology that survives gun-launch type shocks. BMG survivability has been demonstrated in the MEMS S&A device as an inertial sensing structure. The fact BMG is potentially useful in inertial measurement units (IMU) has been previously established at Tanner through the proof-of-concept accelerometer hardware highlighted in this proposal. The proposal is aimed at characterizing performance metrics for the inertial sensing ranges achieved by the MEMS combs fabricated in various BMG alloys.

Edward Pope Dr dba MATECH
31304 Via Colinas, Suite 102
Westlake Village, CA 91362
Phone:
PI:
Topic#:
(818) 991-8500
Thomas Rosengren
MDA12-035      Awarded: 3/6/2013
Title:Materials and Life Cycle Sustainability
Abstract:In this MDA Phase I SBIR program, MATECH proposes to demonstrate the life cycle sustainability of ultra-high temperature (UHT), very low erosion, carbon fiber zirconium oxy- carbide ceramic matrix composite (Cf-ZrOCm CMC), developed under prior MDA SBIR funding, for advanced aerostructures with integrated thermal protection systems (TPS). This Cf-ZrOCm CMC has demonstrated high temperature erosion resistance (arc jet, LHMEL), very large and complex low conductivity (< 2W/m-C), rain erosion survival (nylon bead at AMRDEC) and can be net shape formed into missile structure components, like the Strake leading edge (SLE), while reducing weight by 68% of the baseline Inconel part. In this Phase I, MATECH proposes to conduct material life cycle and sustainability evaluations to demonstrate Cf-ZrOCm CMC’s robustness to life cycle environmental exposures and performance in mission relevant conditions. In the subsequent Phase II program, should it be awarded, MATECH will complete a test matrix developed with our partners to meet PDR requirements and propose to conduct sled testing to validate hot erosion capabilities bringing this material to TRL5. This MDA Phase I proposal benefits from the active participation and support of Raytheon Missile Systems (Tucson, AZ) and Lockheed Martin Co. (Palmdale, CA).

NexGenSemi Corporation
27130A Paseo Espada, Suite 1405
San Juan Capistrano, CA 92675
Phone:
PI:
Topic#:
(949) 340-7209
Michael Zani
MDA12-035      Awarded: 3/14/2013
Title:Materials and Life Cycle Sustainability
Abstract:NexGenSemi Corporation develops advanced semiconductor manufacturing technology for tomorrow’s leveraged electronics. The company is proposing the development of a novel layer-by-layer patterned growth from direct digital design for semiconductor electronics manufacturing. The material growth technology is a modified heterogeneous patterned nucleation deposition process which is key to manufacturing electronics in a single prototyping system. The novelty is a 10,000x manufacturing improvement rate leading to quick turn prototype and pilot production semiconductor manufacturing. The program has defined objectives and goals outlined to meet commercialization standards to successfully integrate the technology into industry

---------- OSD ----------

94 Phase I Selections from the 12.3 Solicitation

(In Topic Number Order)
Knexus Research Corp.
9120 Beachway Lane
Springfield, VA 22153
Phone:
PI:
Topic#:
(855) 569-7373
Kalyan Moy Gupta
OSD12-AU1      Awarded: 5/23/2013
Title:Decision Support for Anomaly Detection and Recovery for Unmanned System (ADRUS)
Abstract:Unmanned systems have proven their value in combat operations by delivering unprecedented mission performance. Unfortunately, the current unmanned systems are predominantly tele-operated, which tie up many skilled operators per unmanned system. Thus, increasing demands for unmanned system cannot be met with the current state-of-the- art. The problem of low levels of autonomy is further exacerbated by the lack of decision support for behavioral anomaly detection and subsequent recovery planning. We will address this capability gap by developing approaches for increasing the level of autonomy from tele- operated to human supervised as follows. In particular, we will develop ADRUS, a decision support system for anomaly detection and recovery for unmanned system for multi-vehicle missions. ADRUS will provide automated monitoring, perform continuous anomaly detection and analysis in the mission context, analyze root causes for the anomaly and explain its findings to the mission personnel. It will go a step further and recommend plans to recover from the anomaly to minimize disruptions and maximize mission success. To develop these capabilities, we will investigate the use of a variety of probabilistic causal models that exploit the knowledge of mission to assess the deviations and provide accurate alerts. We will investigate fast and incremental automated planning approaches that exploit current resource knowledge to compute effective recovery plans. In developing ADRUS, we will consider human factor issues, such as reduction of cognitive load by developing appropriate alert presentation techniques and human-machine trust by developing decision explanation and justification abilities. We will demonstrate ADRUS feasibility by developing a prototype reference implementation and evaluating it using multi-vehicle mission scenarios.

Pacific Science & Engineering Group, Inc.
9180 Brown Deer Road
San Diego, CA 92121
Phone:
PI:
Topic#:
(858) 535-1661
Maia Cook
OSD12-AU1      Awarded: 5/14/2013
Title:Contextual Anomaly Management Interface (CAMI) for Autonomous System Supervision
Abstract:Unmanned systems are taking on an increasing role in the U.S. military. Monitoring unmanned vehicles, sensors, and events in dynamic environments is an intense and demanding task. Today’s unmanned systems provide limited support for detecting problems and anomalies, and deliver alerts that are generally uninformative and lack context. Given their existing limitations and shortfalls, it is unlikely that today’s technologies and display metaphors will scale to accommodate the increased demands of multi-vehicle and mission management in the future. Building on research results and lessons learned, we propose a novel approach and interface (CAMI: Contextual Anomaly Management Interface) for anomaly management to support effective unmanned systems supervision. PSE has three key elements in place to ensure successful concept development and transition: (1) task and display requirements for anomaly management, (2) an established design process to translate requirements into design, and (3) an established and viable transition plan and customer. CAMI integrates notions from ongoing efforts with innovative concepts for supporting human supervision of automation and anomaly management in a way that respects and balances the strengths and limitations of both the human operator and the inherent capabilities of automation.

Stottler Henke Associates, Inc.
1670 South Amphlett Blvd. Suite 310
San Mateo, CA 94402
Phone:
PI:
Topic#:
(650) 931-2700
James Ong
OSD12-AU1      Awarded: 5/15/2013
Title:Intelligent, Collaborative Management of Autonomous Vehicle Anomalies
Abstract:This project will advance the state of art in two areas necessary for effective exploitation of intelligent diagnosis, planning, and execution technologies within autonomous vehicles. First, it will create and demonstrate the effectiveness of a software framework that specifies how these automation technologies can work together. Second, it will create an intelligent collaborative anomaly management system that enables operators and vehicles to work together as a team, so the benefits of automation can be enjoyed while minimizing the errors that might otherwise result from automation biases.During this Phase 1 project, we will develop a concept of operations and a high-level user interface design; design scenarios describing situations and events that benefit from collaborative anomaly management for autonomous vehicles; design a software framework that specifies the capabilities, algorithms, knowledge requirements, and interfaces of each software module; develop a limited software prototype that illustrates key elements of our approach, and specify metrics for evaluating the utility and efficiency of collaborative anomaly management.

21st Century Systems, Incorporated
6825 Pine Street, Suite 141
Omaha, NE 68106
Phone:
PI:
Topic#:
(808) 748-1825
Amber Fischer
OSD12-AU3      Awarded: 2/15/2013
Title:Autonomously Locating to Perch and Stare (ALPS)
Abstract:Small Unmanned Air Systems (SUAS) are being developed for numerous applications, but size and weight constraints severely limit the capability and endurance of such vehicles. Many missions could be extended by landing for certain periods, entering a low-power state, and re-launching as needed, particularly in urban environments. Technologies have been developed to provide landing gear and flight controls suitable to allow autonomous landing. However, technologies are still needed is the suite of autonomous behaviors necessary to determine when it is appropriate to land, identify a suitable landing zone (LZ), and guide the vehicle to the LZ. While portions of these functions could be performed by a human operator, but it is highly desirable to limit the burden on the operator. 21st Century Systems, Inc. (21CSi) proposes to research and develop ALPS (Autonomously Locating to Perch and Stare), a real-time software solution that autonomously locates potential landing zones from the video feed onboard an SUAS. Based on given operational criteria, such as target surveillance regions and required approach room for landing, ALPS then identifies the optimal site for perching and sufficiently geo-locates the chosen LZ, providing guidance instructions to the flight control software.

American GNC Corporation
888 Easy Street
Simi Valley, CA 93065
Phone:
PI:
Topic#:
(805) 582-0582
Tasso Politopoulos
OSD12-AU3      Awarded: 2/14/2013
Title:Landing Zones Identification (LZI)
Abstract:The objective of this project is to provide the Office of the Secretary of Defense a landing zones determination system for small autonomous air vehicles. The AGNC approach involves the use of EO sensors to effect video data collection and processing for determination of scene constituent elements and objects of interest directly impacting the goal of landing zones determination. The algorithmic aims are structured to accomplish an image perception and understanding framework that results in the synergistic interplay of segmentation and classification algorithms that result in the isolation of the scene constituent elements so that the possible presence of landing zones among them is revealed. The utilized data processing techniques involve both deterministic and probabilistic considerations. Scene segmentation and objects detection algorithms are evaluated as to their effectiveness in accomplishing the automatic realization of the goal of landing zones determination within the context of an overall competing array of other terrain elements and objects in the scene.

Lynntech, Inc.
2501 Earl Rudder Freeway South
College Station, TX 77845
Phone:
PI:
Topic#:
(979) 764-2200
Tony Ragucci
OSD12-AU3      Awarded: 3/5/2013
Title:Landing Site Assessment (LSA) System for Small Unmanned Aerial Systems (SUAS)
Abstract:Perching is an essential tactic for extending the duration of Small Unmanned Aerial System (SUAS) missions. Sustained flight is energetically costly and largely unnecessary during a passive Intelligence, Surveillance, and Reconnaissance (ISR) mission. Data can be collected quietly for extended periods with low-power sensors if the SUAS is positioned strategically. Autonomous landing has been demonstrated in SUAS for well-characterized sites, however unaided identification and evaluation of potential landing zones (LZs) in an unmapped environment remains unsolved and requires considerable abstraction from raw sensor data. Relevant considerations for site evaluation include ability to support the airframe (site slope, roughness, and stability), purview on the area of interest, stealth, ease of access and egress, and suitability for maintaining ground station communications. Lynntech’s Landing Site Assessment (LSA) system processes multiple sensor streams with a multistage layered framework to quickly identify potential landing zones and evaluate them against predefined metrics both autonomously and in real-time. The vision system generates a 3D model of the local environment through varying visibility conditions (day, night, dust, fog, rain, and smoke) and utilizes that data to identify, select, survey, and exploit a locally- optimal landing zone to conduct its mission and return to base.

Scientific Systems Company, Inc
500 West Cummings Park - Ste 3000
Woburn, MA 01801
Phone:
PI:
Topic#:
(781) 933-5355
Ranga Narayanaswami
OSD12-AU3      Awarded: 3/14/2013
Title:ImageNAV-LZ: Autonomous Landing Zone Detection
Abstract:Small Unmanned Autonomous Vehicles (SUAS) are well suited for ISR (Intelligence Surveillance and Reconnaissance) applications. The mission effectiveness of SUAS for ISR can be improved if the SUAS can perch at vantage points, continuing to perform ISR while conserving power. One of the primary bottlenecks to autonomous perching and re-launching is the ability to identify suitable landing zones. The complexity of the urban landscape, combined with the limited processing power on board the SUAS, make this a challenging problem. Scientific Systems Company Inc. (SSCI) in partnership with Brigham Young University (BYU) proposes ImageNav-LZ for autonomous landing zone detection for SUAS. ImageNav-LZ utilizes an innovative spiral search strategy starting just outside the maximum grazing angle of a target surveillance region. As it continues on the spiral, candidate landing-zones are identified when they cast a shadow on the surveillance area. The candidate landing zones are then evaluated for suitability for landing (area, terrain type, slope), suitability for ISR (line of sight visibility of target area) and suitability for re-launch (potential energy, path for take-off, vertical drop etc.). ImageNav-LZ spiral search strategies and efficient vision processing algorithms will significantly reduce the computational burden for landing zone determination.

Near Earth Autonomy
1603 Country Club Dr.
Pittsburgh, PA 15237
Phone:
PI:
Topic#:
(412) 254-3542
Sanjiv Singh
OSD12-AU4      Awarded: 2/15/2013
Title:Cooperative Autonomous Tunnel Mapping
Abstract:While unmanned air vehicles are starting to operate in complex urban and indoor environments, many challenges still remain. Our proposed project will address three key challenges through the development of algorithms. First, we reduce operator workload in the operation of autonomous vehicles in GPS denied environments. Second, the algorithms enable cooperative exploration by multiple and possibly heterogeneous agents. Third, the algorithms will maximize the searchable area in minimal time. The algorithms will be robust so that the team can operate without the need for constant communication. Performance is expected to degrade gracefully when agents spend an increasing amount of time without contact with each other. In Phase I we will develop software simulations to test and validate the cooperative control of multiple agents in performing search through a network of nodes. We will gain significant leverage from existing software in state estimation and mapping that can be used as a base to validate cooperative control. In Phase II we expect to be able to deploy a full team of autonomous flying vehicles performing exploration, mapping, and search. The team consists of members very skilled in the state of the art in estimation, mapping as well as coordination of multi-agents performing search.

Perceptronics Solutions, Inc.
3527 Beverly Glen Blvd.
Sherman Oaks, CA 91423
Phone:
PI:
Topic#:
(703) 342-4684
Timur Chabuk
OSD12-AU4      Awarded: 4/3/2013
Title:Multi-Agent Robust and Scalable Cooperative Indoor Mapping (MARSCIM)
Abstract:The problem of sending a team of robots into an unknown environment to create a map is one of the most studied problems in robotics, and is referred to in the literature as Simultaneous Localization and Mapping (SLAM) or Distributed SLAM (DSLAM) when there are multiple robots. Here we propose to extend existing DSLAM capabilities, with robust and scalable algorithms to support increased cooperation and collaboration between teams of unmanned robotic aerial scouts engaged in tunnel mapping operations. Central to our approach is a set of message passing algorithms for information sharing, frontier expansion, and task allocation that are designed explicitly to address the challenges associated with real world robotics. Specifically, our algorithms are designed to operate under uncertainty and to be highly robust to ongoing communication, robotic, and sensor failures. During mission operations a parameter tuning mechanism, which was trained prior to mission execution using machine learning methods, is used to analyze observed information about the environment, and dynamically adjust algorithm parameter settings in order to maximize performance. In this way, the system continually adapts to match the characteristics of the environment in which it operates. Lastly, we propose a rigorous and thorough simulation- based evaluation of the developed algorithms, in order to prove their efficiency and robustness, and to prepare for transition to real-world robotics.

Physical Sciences Inc.
20 New England Business Center
Andover, MA 01810
Phone:
PI:
Topic#:
(978) 689-0003
David R. Manegold
OSD12-AU4      Awarded: 2/26/2013
Title:MATCH-SLAM: A Multi Agent Tasking and Control metHod for Simultaneous Localization and Mapping
Abstract:Physical Sciences Inc. (PSI) proposes MATCH-SLAM, an innovative “Multiple Agent Tasking and Control metHod for Simultaneous Localization and Mapping” for multi-agent cooperative and autonomous exploration of tunnels, caves, indoor, or other GPS denied environments. Current tunnel mapping efforts using autonomous ground vehicles are limited by platform mobility and power requirements, while aerial approaches currently lack robustness, effective coordination methods, and autonomy. PSI’s design gives specific attention to the complex interactions between heterogeneous agents and how to fuse their disparate sensor types, the constraints of limited on-board computational resources, limited platform mobility, and bandwidth-limited communications. This approach promises to enable efficiently coordinated exploration and mapping by many classes of autonomous systems, including PSI’s own highly capable, highly mobile, low-power, low-cost micro-air vehicle. This is achieved using PSI’s novel planning algorithms which make use of a multi- dimensional cost/score matrix for heterogeneous agent cooperative tasking, specific agent actions behavior patterns tailored to reduce crucial uncertainties, and a state estimator designed to maintain map consistency across agents in the presence of constrained or intermittent communication. PSI proposes to test and demo this technology during the program both in software simulations and on its own micro-air vehicle platforms in representative environments.

Scientific Systems Company, Inc
500 West Cummings Park - Ste 3000
Woburn, MA 01801
Phone:
PI:
Topic#:
(781) 933-5355
Mads Schmidt
OSD12-AU4      Awarded: 3/12/2013
Title:AIRTEAM: Aerial Indoor Robot Teams for Exploration And Mapping
Abstract:For the AIRTEAM (Aerial Indoor Robot Teams for Exploration And Mapping) Project, Scientific Systems Company, Inc. (SSCI) and iRobot Corporation propose to develop a command-and-control algorithm to allow aerial robotics scouts to cooperatively explore an unknown indoor environment and communicate their findings to each other and their human operators. In Phase I of this project, we will study the feasibility of cooperatively searching indoors with aerial robots. We will develop a basic multirobot coordination and exploration planning algorithm, and we will test this algorithm in simulation. This algorithm will be capable of handling the challenges of indoor operations, such as intermittent wireless communications and obstacles.

Aptima, Inc.
12 Gill Street Suite 1400
Woburn, MA 01801
Phone:
PI:
Topic#:
(781) 935-3966
Stacy Pfautz
OSD12-AU5      Awarded: 2/28/2013
Title:AWAKE: Adaptive Workspace for Analyst Knowledge & Engagement
Abstract:Increasingly there is the need to process large volumes of disparate data containing critical information that needs to be analyzed in a timely, efficient matter. While tools exist to support information search, retrieval and exploitation, these tools do not adequately support the analyst since they lack understanding of the semantics of the information, how the information relates to the analytic task, and how the analyst fuses the information in assessing a situation. Cognitive limitations to analysts’ attention and working memory expose them to cognitive biases, and current tools do not provide any help in guarding against analytic vulnerabilities. Aptima and our partners, propose to develop an Adaptive Workspace for Analyst Knowledge and Engagement (AWAKE). AWAKE represents the next generation of cognitive, knowledge-aided analyst support systems that promotes a more effective human- machine partnership so that analysts can focus on what they uniquely do best as humans, and the autonomous system “looks over their shoulder” to provide them cognitive aid. AWAKE will provide a capability for measuring and assessing the analyst’s level of rigor; automatically identify indicators of cognitive biases and vulnerabilities, based on a semantic interpretation of the user’s interactions with the system.; and personalize agents to actively support analysts’ activities.

Charles River Analytics Inc.
625 Mount Auburn Street
Cambridge, MA 02138
Phone:
PI:
Topic#:
(617) 491-3474
Sean Guarino
OSD12-AU5      Awarded: 3/1/2013
Title:Services for an Individualized Dynamic Environment using Knowledge, Information, and Context for Workspace Management (SIDEKICK)
Abstract:Intelligence analysts are flooded with complex data, creating failures and delays in exploiting critical information. Attempts at automated decision-aids have failed because they ineffectively strive to supplant the analyst, rather than enable collaboration. Instead, analysts manually sift through data, leading to human errors from skill and knowledge gaps and human biases (e.g., confirmation bias). Analysts need automated assistants that provide a collaborative human-automation partnership, forming a common ground with the analyst that drives workspace management for information observability. To address these needs, we propose to design and demonstrate Services for an Individualized Dynamic Environment using Knowledge, Information, and Context for Workspace Management (SIDEKICK). SIDEKICK builds on our team’s previous research designing a framework for intelligence analysis, expanding on iterative broadening and narrowing with a Joint Activity Theory-based approach for automation-analyst coordination. SIDEKICK includes: (1) an Analysis Modeling Service that uses Probabilistic Relational Models to provide a robust modeling framework that can produce a common ground representation of the analysis based on observations of analyst behaviors; and (2) a Workspace Adaptation Service that uses case-based reasoning to analyze the common ground representation to recommend selections and adaptations of workspace tools and visualizations.

Securboration Inc
1050 W NASA Blvd Suite 155
Melbourne, FL 32901
Phone:
PI:
Topic#:
(919) 217-7269
Dr. Bridget McInnes
OSD12-AU5      Awarded: 2/27/2013
Title:Fashioning of an Adaptive Workspace through Autonomous Services
Abstract:The Intelligence Community (IC) has applied significant effort towards creating automated adaptive workspaces. One success in this area originated with DARPA’s Personalized Assistant that Learns (PAL), which focuses on improving the way that computers support humans through the use of cognitive systems that reason, learn from experience, and accept guidance in order to provide effective, personalized assistance. While PAL continues to achieve success in IC automation technologies, there are other avenues for future work which focus on a more bi-directional human-IT partnership. What analysts really need is an adaptive collaboration between the human and machine – one in which the computer learns, adapts, and informs analysts based on their practices, situational context, and data content. This capability is analogous to how paralegals function as intelligent, dynamic, and indispensable partners for lawyers in the legal community. To provide this next generation capability, Securboration is teaming with SRI International and Intelligent Software Solutions (ISS) to develop the Adaptive Data Immersion ENvironment (ADIEN). Our approach for ADIEN leverages Securboration’s expertise in machine learning and reasoning; SRI’s leadership on the PAL program and adaptive, personalized intelligent assistance technologies; and ISS’ subject matter expertise and leadership in developing and deploying operational intelligence systems to the IC.

Stottler Henke Associates, Inc.
1670 South Amphlett Blvd. Suite 310
San Mateo, CA 94402
Phone:
PI:
Topic#:
(617) 902-2223
Eric Domeshek
OSD12-AU5      Awarded: 2/26/2013
Title:A Monitoring and Adapting Intelligence Assistant (MAIA)
Abstract:Intelligence analysts need help managing a barrage of tasks and flood of information while overcoming cognitive limitations. That help must respond to their individual time-varying needs and context. Challenges include (1) sensing analysts’ situations; (2) tracking their interests and needs; (3) managing information flows; (4) facilitating user focus and understanding; and (5) controlling and orchestrating the above capabilities. The keys to adaptive analyst support include (a) access to user/situational data; (b) characterization of the relevant features latent in that data; (c) correlating features with known cognitive biases, failure modes, and support needs; and (d) application of appropriate learning and control mechanisms to map from situational features to system actions. We propose to develop technology for a Monitoring and Adapting Intelligence Assistant (MAIA). During Phase I we will identify use cases and requirements; use those to flesh out the general challenges and capabilities sketched above; outline a technology and follow-on research framework to address those needs; and design and prototype subsets of the overall vision to demonstrate feasibility. We expect to focus development work on mapping from user activity to metacognitive prompts and information-sharing actions. Finally, we will develop a Phase II plan to follow through on design, development, and transition.

Aptima, Inc.
12 Gill Street Suite 1400
Woburn, MA 01801
Phone:
PI:
Topic#:
(781) 496-2467
Georgiy Levchuk
OSD12-AU6      Awarded: 2/25/2013
Title:Sense-making via Collaborative Agents and Activity Networks (SCAAN)
Abstract:The quantity of data that need to be collected, examined and shared during Intelligence, Surveillance, and Reconnaissance Operations is growing fast due to increasing use of sensors. To deal with this challenge, the Air Force intelligence services are implementing a new process of planning and direction, collection, processing and exploitation, analysis and production, and dissemination (PCPAD). PCPAD requires new technologies that collect and process only the most critical and relevant information. Aptima proposes to develop a system for Sense-making via Collaborative Agents and Attributed Networks (SCAAN) that integrates distributed situation understanding, autonomous knowledge seeking, dynamic collaboration, and an adaptive heterogeneous command and control organization. SCAAN will solve challenges of collaborative large-scale information processing by incorporating a model of dependencies between essential elements of information based on real-world processes into its distributed information sharing framework. These dependencies will be used to construct an agent organization, which assigns command and execution roles to sensor nodes and is required for reducing complexity of managing heterogeneous sensor team, and a collaboration policy, which will be based on dependencies between the tasks executed by different nodes. SCAAN will achieve reduction in data analysis time while maintaining optimality of situation estimates obtained in a distributed manner.

EDAptive Computing, Inc.
1245 Lyons Road Building G
Dayton, OH 45458
Phone:
PI:
Topic#:
(937) 281-0792
Adam Langdon
OSD12-AU6      Awarded: 2/26/2013
Title:Autonomy for Seeking, Understanding, and Presenting Information
Abstract:Modern net-centric warfare produces and consumes a tremendous amount of data. This data is produced by multiple systems over time and is in different forms and formats. This can easily become overwhelming to an analyst, who must be able to quickly determine the impact of anomalous events or changing trends. New methods are needed to further filter data and extract more meaningful relationships among facts discovered across multiple datasets. The success of the warfighter is not only threatened by the sheer volume of information, but by the increasing risk of conflicting and misleading intelligence. This problem must be addressed for the DoD to remain successful on an increasingly chaotic battlefield. In response to these issues, Edaptive Computing, Inc. presents an innovative solution that specifically addresses the requirements of the OSD and provides a significant step toward analyzing multiple, large, and heterogeneous datasets. This approach consists of data mining agents employing various advanced techniques implemented on scalable distributed platforms. As a result, these techniques can discover new relationships between current events, other intelligence, and historical data. Ultimately, the GUARDS solution allows an analyst to perform critical decision-making with confidence and clear awareness of the situation.

InferLink Corporation
2361 Rosecrans Avenue Suite 348
El Segundo, CA 90245
Phone:
PI:
Topic#:
(310) 383-9234
Steven Minton
OSD12-AU6      Awarded: 2/25/2013
Title:Autonomy for Seeking, Understanding, and Presenting Information
Abstract:There is an enormous amount of amount of data available on the Web. The richness of this data has made it a priority to develop intelligent systems that can mine and make sense of data in order to assist analysis in predicting and explaining events around the world. In this project, we propose to develop a scalable system to intelligently assist analysts by autonomously collecting, analyzing and presenting information. To address the challenge of determining what data is worthwhile for the system to collect, and what is most valuable for the analyst to see, we propose an architecture based on decision-theoretic search control. In this paradigm, the system estimates the utility of alternative options, enabling it to make rational choices, when faced with uncertainty, and a complex set of alternatives. Moreover, machine learning algorithms make it possible to estimate the utility of different alternatives based on experience. A second challenge we address is how to organize a complex system that can collect, interpret and mine large amounts of heterogeneous, multimodal data. We propose to employ a joint inference approach that allow components to flexibly communicate their findings, and in effect, work together to produce optimal results.

ADA Technologies, Inc.
8100 Shaffer Parkway Suite #130
Littleton, CO 80127
Phone:
PI:
Topic#:
(303) 792-5615
Thierry Carriere
OSD12-EP3      Awarded: 4/26/2013
Title:Ultra-Safe Enclosure for High Energy Density Devices: Thin Laminate Walls and Flameless Venting
Abstract:The weight, volume and storage capacity benefits of current and future high energy density storage systems make them attractive options to complete far-reaching and ambitious missions. Safe packaging of these devices has lagged and as a result, a few significant events have taken place, highlighting the need for better tools to manage and control the uncontrolled release of stored energy. ADA Technologies is proposing to develop and test a new, rugged, ultra-safe enclosure meeting the DoD requirements by leveraging our deep technical expertise in materials and fire safety. The selected approach is to combine the properties of several low-cost, lightweight and off-the-shelf materials in a laminate structure which will be able to channel and contain any released energy and protect nearby equipment and personnel. Further improving the safety of the enclosure and the surroundings is the inclusion of a flameless vent. ADA Technologies has established several key collaborations to enable successful technical development and future commercialization of the technology in both military and commercial markets. Our partners include the technical experts at the NASA Johnson Space Center, DoD prime contractor Lockheed-Martin, commercial companies A123 Systems (lithium ion batteries), Newtex (fire-resistant materials) and Hoffman (industrial enclosures).

Paragon Space Development Corporation
3481 E. Michigan Street
Tucson, AZ 85714
Phone:
PI:
Topic#:
(520) 382-4812
Grant Anderson
OSD12-EP3      Awarded: 6/26/2013
Title:Coacting High Integrity Materials Energetic Release Attenuation (CHIMERA)
Abstract:Paragon Space Development Corporation (Paragon) and our subcontractor, Thin Red Line Aerospace (TRLA) will create a Coacting High Integrity Materials Energetic Release Attenuation (CHIMERA) system that will meet the volume, thermal, ballistic, pressure, electro-magnetic (EM) and chemical containment requirements while providing modularity and significant weight savings over existing enclosure options. The CHIMERA system will build upon the Paragon/TRLA team’s extensive experience developing, modeling, simulation, and test of inflatable space structures able to withstand the rigors of that environment, including impact from micro-meteorites and orbital debris (MMOD) to create a system that will enable a safe operating environment for personnel and sensitive equipment. Expert selection of advanced ballistic fabrics, design of rigid skeletal structure, and integration of novel phase change material (PCM) thermal mitigation methodologies will provide the customer with an adaptable, scalable, modular solution that is capable of reacting in a deterministic manner to any credible failure mode of high power energy storage devices including but not limited to batteries, ultra-capacitors, and flywheels. CHIMERA will be modular, significant reducing development or installation issues for new applications and will include optional doors and view ports, and be relatively light weight, highly transportable and can be installed on-site to protect existing infrastructure.

Scimitar Technologies LLC
2005 Big Horn Drive
Austin, TX 78734
Phone:
PI:
Topic#:
(512) 692-9663
Brian Muskopf
OSD12-EP3      Awarded: 5/1/2013
Title:Energy Storage Enclosure Technologies for High Density Devices
Abstract:Energy storage systems comprised of high-density batteries, capacitors and/or flywheel technologies provide numerous benefits for shipboard power systems. However, high-density energy storage systems which must be installed in locations populated by personnel and sensitive equipment can fail catastrophically. Robust enclosure designs and materials are required that are capable of overcoming effects related to temperature, pressure and inertial effects at the same time. Innovative enclosure designs are required because the size and weight of the enclosure cannot substantially reduce the power density of the energy storage system. The enclosure cannot expand the volume of the racked storage components by more than 10%. This project will develop a cost effective, lightweight, corrosion and fire resistant, robust composite Energy Storage System Protective Enclosure that will contain all electrical, fire, chemical and inertial hazards of the energy storage system while meeting the structural and environmental exposure design requirements for use onboard U.S. Navy ships. The protective enclosure will be constructed from composite materials that will meet all U.S. Navy design requirements including fire, smoke and toxicity, and all environmental and chemical exposures. The composite protective enclosure design will not expand the volume of the racked storage components by more than 10%.

Management Sciences, Inc.
6022 Constitution Ave NE
Albuquerque, NM 87110
Phone:
PI:
Topic#:
(505) 255-8611
Kenneth D. Blemel
OSD12-EP4      Awarded: 7/26/2013
Title:Embedded Collaborative Intelligent Generator Management with Grid-Centric Microcontrollers
Abstract:In Afghanistan, fuel to run electrical generators is a major cost driver. The DoD’s latest method is “right size” with units with multiple generators of different ratings and train soldiers to manually switch generators as demand changes. Typically, demand has wide swings throughout the day and soldiers can’t just stand next to generators to “right size.” Inevitably, fuel will be wasted waiting for soldiers to throw the switch. MSI has developed an intelligent control module that employs machine learning to increase energy efficiency of a single tactical generator. Our innovation is to create a new wireless automated switch module that networks with other modules on the grid. They will use alternative energy first and bring the right generators online when alternative and stored energy is insufficient. When demand drops the modules will reverse the strategy to continuously maximize fuel savings 24x7. Our product vision is an install kit packaged to replace the existing manual switch boxes so that retrofit will be quick and easy. Phase I will develop an architecture and a small form factor prototype and demonstrate right sizing three generators and alternative energy sources in realistic conditions.

OPEX SYSTEMS LLC
3306 Greencastle Chase NE
Marietta, GA 30062
Phone:
PI:
Topic#:
(404) 268-5522
Kojakully (Ram) Shetty
OSD12-EP4      Awarded: 8/5/2013
Title:A Standards Based, Open-Architecture, Ruggedized Tactical Microgrid Controller
Abstract:The Army is addressing a technical challenge of constrained data interface to vendor supplied equipment, to integrate Energy Storage (ES) and tactical Energy Assets (EA) to improve fuel efficiency and reduce wear. The Phase I effort will investigate the feasibility of developing a ruggedized Intelligent Power Management Controller (IPMC) which will act as (a) an Universal Data Integration Gateway to any vendor supplied EA/ES, and (b) an Automation Supervisory Controller to achieve the Army’s objectives in tactical Microgrid configurations. The firm is proposing to leverage their extensive experience in advanced industrial and electric grid automation technologies for this project. Three innovations are proposed: a) industrial best practices applied to the military application, b) Standards based communication protocols for data integration, and c) a modern digital control scheme. Anticipated benefits include lower product cost, ease of use, open architecture, standardization and low learning curve. Proposing team includes personnel from Battelle, top non-profit R&D organization with extensive experience in developing solutions for national security applications. The team has capabilities to develop a practical and innovative IPMC solution that will reduce the technology risk and time-to-deployment. The firm estimates excellent dual-use market potential and intends to commercialize IPMC through its energy technology business.

PC Krause and Associates, Inc.
3000 Kent Avenue, Suite C1-100
West Lafayette, IN 47906
Phone:
PI:
Topic#:
(765) 464-8997
Marco Amrhein
OSD12-EP4      Awarded: 7/24/2013
Title:Intelligent Power Management Module for Autonomous Power Generator Operation
Abstract:The US Army and Marines rely significantly on fossil-fuel based tactical power generation to provide electrical energy to deployed troops in small camps and forward operation bases. These generators are sized to support the expected maximum power but are often operated far below rated power due to the dynamic nature of electrical loads. On average, the generators are loaded less than 50% of the available peak power capability. Inherently, these generators have low energy conversion efficiencies when operated significantly below rated power, which equates to wasted fuel in order to provide power capacity that is unused during the majority of operation. Thus, technology innovations are needed that allow for better utilization of a generator's power capacity when said generator is online, while at the same time providing the on-demand dynamic load power desired by the attached equipment.PC Krause and Associates (PCKA) has previously demonstrated a power buffer concept that addresses mismatches between dynamic loads and generation capabilities on modern more- electric aircraft. The patent-pending power-sharing control concept is, with minor modifications, applicable to the challenges addressed by this proposal. PCKA proposes an intelligent power-management module (IPMM), consisting of an energy storage device, power electronic converters, and appropriate power-sharing controls, to act as a buffer between a tactical generator and dynamic loads. The IPMM will essentially function as an energy reservoir; charging and discharging its energy storage device as appropriate to ensure that load demands are met while driving the operation of the tactical generator into a more efficient operating regime. Due to this new loading profile seen by the generator, fuel conversion efficiency will significantly increase (estimated improvement of 25%), as the generator is either operated at full capacity or turned off. Note that the IPMM will be autonomous and non-invasive, i.e., it will not require any adjustment in existing generator controls or hardware, a desirable benefit considering the target application.The primary objective of this Phase I proposal is to develop the proof-of-concept IPMM, including the design of a hardware architecture and power-sharing control strategies. To demonstrate the feasibility of the proposed IPMM design and justify the transition from Phase I to Phase II, a combination of advanced modeling, simulation, and analysis and hardware prototyping will be utilized to demonstrate that the proposed IPMM is capable of meeting the relevant performance specifications. If successful, the IPMM technology will be demonstrated as a full-scale prototype in Phase II and ultimately transition to DoD programs under a Phase III contract.

Radiance Technologies Inc.
350 Wynn Drive
Huntsville, AL 35805
Phone:
PI:
Topic#:
(334) 246-2871
Brian Freeman
OSD12-EP4      Awarded: 5/30/2013
Title:Tactical Power Plant Multi-Generator Intelligent Power Management Controller
Abstract:"Diesel generators provide the majority of power generation in forward operating areas, frequently operating inefficiently and requiring excessive maintenance. “Right size” generator operation, energy storage, renewable energy inputs, and intelligent power management strategies can greatly reduce fuel consumption and reduce the level and frequency of maintenance. Predictive load profiling strategies, integration, and communications between the multiple devices on a micro-grid will yield additional fuel savings.Radiance Technologies, Inc. proposes to design and build a highly configurable power manager to optimize generator operation, reduce fuel consumption, and seamlessly integrate with multiple devices with and without external communications. The power manager consists of an energy storage device, inverter/charger, generator-synchronizer, renewable energy input, and intelligent controller. The proposed system will operate as a 10 kW redundant power plant or a 20 kW power plant using the new AMMPS generators or the legacy TQG generators; accepting 10 kW inputs from AC sources and one 3 kW renewable source such as solar. All configurations are packaged onto a Light Tactical Trailer (LTT) with two 10 kW generators.Radiance will establish an open communications protocol and implement drivers to interface with existing and future external communications protocols."

Global Technology Connection, Inc.
2839 Paces Ferry Road Suite 1160
Atlanta, GA 30339
Phone:
PI:
Topic#:
(770) 803-3001
Freeman Rufus
OSD12-EP5      Awarded: 2/1/2013
Title:Dynamic Time and Frequency Domain Modeling of Aircraft Power System with Electrical Accumulator Units (EAU)
Abstract:Global Technology Connection, Inc. (GTC) seeks to develop generic time and frequency domain analysis modeling and analysis tools to analyze and determine mitigation strategies to maintain power quality with high dynamic aircraft power systems operating with electrical accumulator units (EAU). Phase I effort will concentrate on the initial requirements and design of a mixed / multi-level modeling concept with the logic to select an appropriate level of modeling of the interacting subsystems that would allow capturing the essential features of the phenomenon under investigation that a user wants to study (system stability, power system response to faults, power system quality for loading and regeneration, etc.). Linearized, behavioral and detailed models of aircraft power subsystems will be implemented in Simulink. We will determine mitigation components and filtration strategies for generic EAU able to source or sink 150kW for 100ms or 50ms regenerated energy, respectively. The modeling and analysis tool will be demonstrated using a power distribution system of a transport aircraft utilizing EAU, energy storage and mitigation components. The modeling tool’s performance will be assessed according to speed, accuracy and the capability of the designed mitigation components with filtration strategies in adhering to MIL-STD-704F. Phase I will include the development of plans to further increase fidelity of modeling tool to incorporate degradation in the energy storage systems. Phase II will develop and refine the fidelity of the Phase I modeling and analysis tool and include the development of improved mitigation components and methodologies that are validated in a simulated power system bus incorporating signals for high demand loads, sources, and energy storage.

NextWatt LLC
1635 Westbury Drive
Hoffman Estates, IL 60192
Phone:
PI:
Topic#:
(315) 543-9085
Sudip K. Mazumder
OSD12-EP5      Awarded: 1/31/2013
Title:Multi-Scale Hybrid Modeling Based Fast Component/System Reliability Assessment Analytical Tool for EAU Buffered Aircraft Power System
Abstract:Technical Objective 1: Develop a scalable and plug-and-play unified hybrid multi-scale, multi-resolution, and multi-domain modeling framework for component and system level representation of interactive aircraft power system comprising varied energy generation sources, EAUs, complex loads and load patterns, and power distribution and control system. Technical Objective 2: Develop advanced analysis methodologies for investigating evolving behavioral dynamics, stability, and reliability of a complex aircraft power system with changing operating conditions, changing component and system dynamics, and changing power-system network topology and connectivity. Such an analysis methodology based on advanced nonlinear techniques (for large-signal/large-perturbation conditions) as well as linear techniques for small-signal analysis will preclude the need for rapid, robust, and in- depth time and frequency system analyses without resorting to the conventional approach of computationally intensive large number of simulations which is often inadequate to capture nonlinear system effects. Technical Objective 3: Develop a software platform for capturing component and system models and for capturing algorithmic tools for robust component and system reliability and interaction analysis to demonstrate the efficacy of the tools developed under Objectives 1 and 2 and conduct comprehensive scenario centric case studies leading to pathway for optimal system and component designs.

PC Krause and Associates, Inc.
3000 Kent Avenue, Suite C1-100
West Lafayette, IN 47906
Phone:
PI:
Topic#:
(765) 464-8997
Jason Wells
OSD12-EP5      Awarded: 2/19/2013
Title:Dynamic Time and Frequency Domain Modeling of Aircraft Power System with Electrical Accumulator Units (EAU)
Abstract:The movement to more-electric architectures during the past decade in military and commercial airborne systems continues to increase the complexity of designing and specifying the electrical power system. The addition of numerous high-power electric loads has drastically altered the dynamics of power flow on the electrical bus. Many of these loads often exhibit peak-to-average power ratios in excess of 5-to-1 for brief periods of time (50- 5000 ms). In addition to this high peak-power, some of the loads can produce regenerative power flow equal to their peak power draw for brief periods of time (typically 20-200 ms). Such load characteristics, coupled with complex and varied source characteristics under varying electrical power system configurations, can result in undesirable system performance from both a dynamic-transient and a spectral-content (frequency-domain) perspective. In order to mitigate such undesirable performance, modern electrical power system designers must develop and apply suitable mitigation strategies, which typically involve energy storage, filtration, and/or advanced control. Since weight and volume are significant concerns on airborne platforms, it is necessary to quantify whether the proposed solution’s impact on power quality is justified in consideration of the impact on weight and volume to the platform; however, limited tools exist for performing such analysis at the integrated-system level from the dynamic-transient and frequency-domain perspective. As such, the primary objective of the proposed SBIR program is to develop such time- and frequency-domain analysis models and tools to enable the identification, development, and analysis of emerging and future mitigation strategies that can maintain power quality in the presence of ever increasing dynamic load requirements. It is anticipated that such tools will be sufficiently generic that they can be applied broadly to a wide class of platforms and technologies yet sufficiently customizable to a target application such that they can provide meaningful insight into specific technology development decisions. In the Phase I effort, PC Krause and Associates will develop and demonstrate such tools at the proof-of-concept level. The developed tools shall be capable of analyzing the impact of emerging and future components, control strategies, and architecture(s) on electrical power quality through the prediction of key performance aspects of both the technology under investigation and the remainder of the electrical power system into which the technology is being inserted. In the Phase I effort, a proof-of-concept demonstration shall be performed by analyzing the impact of inserting an electrical accumulator unit capable of sourcing a minimum of 150 kW for 100 ms and sinking a minimum of 150 kW for 50 ms. At a minimum, the impact analysis and performance predictions generated by the tool shall be capable of determining the adherence of the technology under investigation, and the resulting electrical power system, to MIL- STD-704F, which is a requirement for the successful transition of most technologies that might be investigated for utilization in current and future generations of airborne platforms.

IntraMicron, Inc.
368 Industry Drive
Auburn, AL 36832
Phone:
PI:
Topic#:
(334) 502-2973
Hongyun Yang
OSD12-EP6      Awarded: 4/17/2013
Title:Advanced thermal management materials and strategies for packaging high rate cylindrical cells and battery packs
Abstract:Microfibrous media (MFM) composed of sintered micron diameter copper fibers will be evaluated for its ability to transfer heat from cylindrical cell arrays (batteries and capacitors) to cooling coil and heat transfer surfaces. The void volume of the MFM will be from 70 to 90% and the resulting porosity filled with a suitable phase change material (PCM) as an added (and intimately contacted) thermal buffer. Preliminary calculations and data indicate that a 30 vol.% MFM filled with 70 vol% PCM will have a thermal conductivity of 60 W/m-K, an enthalpy capacity between 25 and 60C of 249 KJ/liter, and due to its compliant nature an interfacial heat transfer coefficient of 420 W/m2-K. Compared to other documented technologies this combination of properties is superior for both brief periods of high rate discharge in a near adiabatic fashion (with rapid thermal recovery) and also extended duration applications at high average power and thermal dissipation levels. The porous media is cost effectively manufactured on high speed paper machines and readily packaged between battery arrays and heat transfer surfaces. The approach is suitably robust for military applications, maintains appropriate cell temperatures, is mass and volume efficient, and can be easily packaged to avoid shorts.

Thermal Management Technologies
1750 North Research Park Way Suite 104
North Logan, UT 84341
Phone:
PI:
Topic#:
(435) 755-6401
J. Clair Batty
OSD12-EP6      Awarded: 6/6/2013
Title:Two-Phase Immersion Cooling for Cylindrical Geometry Energy Storage Components
Abstract:Thermal Management Technologies proposes to develop concept designs for a scalable two-phase liquid-vapor immersion cooling system and perform a subscale proof of concept demonstration of the technology. Direct immersion cooling is capable of providing thermal management of individual cells whether in the cylinder, prismatic, or pouch configuration and maintaining a very nearly uniform temperature distribution among all cells. The proposed design, which employs a high quality dielectric working fluid in direct contact with the energy storage components, will be shown to provide effective thermal management of cylindrical components without decreasing their packing density. Overcoming the deficiencies of existing cooling approaches, the proposed system provides efficient thermal coupling between energy storage components and a cold sink by utilizing the very high boiling and condensation heat transfer coefficients of the working fluid. This eliminates the inefficiencies of conduction through interface materials or electrical connection terminals. An automatic degas module is proposed to simplify assembly, fluid filling, and maintenance procedures and maintain the working fluid in a saturated state.

ThermAvant Technologies, LLC
1000 A Pannell Street
Columbia, MO 65201
Phone:
PI:
Topic#:
(415) 264-0668
Joe Boswell
OSD12-EP6      Awarded: 6/6/2013
Title:Cylindrical Geometry Energy Storage Cooling Architectures
Abstract:ThermAvant Technologies, LLC and University of Texas at Arlington propose to design, model, fabricate and empirically test conformal fitting cylindrical energy storage heat cooling packages. ThermAvant will optimize cylindrical battery array cooling solutions that balance size, weight, coolant flow rate and pressure drops, maximum temperatures, thermal responsiveness, and temperature uniformity. Two different approaches will be evaluated: micro-channel single-phase cold plates; and cold plates with two-phase super-thermally conductive oscillating heat pipes (OHPs). A number of innovative manufacturing techniques will be evaluated and compared to conventional micro-channel forming and sealing processes. University of Texas at Arlington will provide the high fidelity electrical and thermal test facilities to evaluate thermal solutions' effectiveness in cooling real-world cylindrical battery cells.

TIAX LLC
35 Hartwell Avenue
Lexington, MA 02421
Phone:
PI:
Topic#:
(781) 879-1269
John Dieckmann
OSD12-EP6      Awarded: 4/26/2013
Title:Cylindrical Geometry Energy Storage Cooling Architectures
Abstract:Electrical energy storage devices – e.g., rechargeable batteries, ultracapacitors, flywheels – all suffer some level of energy conversion loss as they are charged and discharged. Lithium-ion and other lithium-based rechargeable batteries lose electrical energy to IR voltage loss as current flows through the anode and cathode electrodes. Flywheel systems similarly dissipate heat through loss of electrical energy. In energy storage systems intended to operate at high power levels, with full charge and discharge cycles on the order of minutes in length, active cooling is required to remove the dissipated heat and limit the temperature of the battery or flywheel within limits consistent with maintaining performance and long cycle life. TIAX proposes a scalable cooling system architecture that has an effective thermal connection to each cylindrical energy storage device and can connect to a cooling source, for example, a fresh water cooling loop, that would be accessed at the back plane of the cabinet holding the battery racks. Preliminary thermal modeling shows that this cooling architecture will provide the necessary cooling performance using a fresh water cooling loop that is cooled via heat exchange with sea water, with a resulting fresh cooling water supply temperature as high as 40 degrees C.

5-D Systems Inc.
1 Chisholm Trail, Suite 3200
Round Rock, TX 78681
Phone:
PI:
Topic#:
(512) 238-9840
Bennie Ray Kirk, Jr.
OSD12-EP7      Awarded: 6/3/2013
Title:Militarized Power Line Communication
Abstract:5-D is developing a cost effective, militarized, power line communications (PLC) system leveraging commercial “Smart Grid” and PLC technologies. Our approach provides the system components necessary to properly manage the variable resources and loads inherent in micro grid power systems like those employed at forward operating bases. In addition, our solution offers the option of providing broadband networking communications, further minimizing the infrastructure and installation typically required. The system components under development are modular by design, offering flexibility of integration and application for various power grid issues like seamless integration of renewable power sources and generator load balancing. 5-D Systems has already designed and proven militarized PLC technology for the Air Force Research Lab (targeted for legacy aircraft and other applications) and will leverage this experience to design, demonstrate, and ultimately deliver a viable micro grid communications and control system.

Physical Optics Corporation
Information Technologies Division 1845 W. 205th Street
Torrance, CA 90501
Phone:
PI:
Topic#:
(310) 320-3088
Alireza Shapoury
OSD12-EP7      Awarded: 6/3/2013
Title:Communicator for Electrical Grid Axillary Services
Abstract:To address the OSD’s need for a militarized power line communication system, POC proposes to develop a new Communicator for Electrical Grid Axillary Services (CEGAS). CEGAS is based on a set of innovative modifications to the available power line communication systems that will enable the OSD to enhance resource management securely and reliably without the need to install and maintain a parallel data network for grid auxiliary services such as peak shaving, frequency control and contingency protection. As a result, this system offers militarized power line communication for control and management of fuel and several other renewable energy sources in a tactical electrical grid. In Phase I, POC will demonstrate the feasibility of CEGAS by analysis and design of a communication protocol and fabrication of a prototype to prove key performance areas, such as link availability, interoperability, interference robustness, latency, and security for a 208 VAC, three-phase electrical grid. We will further provide a cost/benefit analysis and a development plan with performance goals for Phase II. In Phase II, POC plans to develop a full system and test it with the OSD; perform a detailed cost analysis of CEGAS compared to existing technologies; and provide a Phase III development plan.

American GNC Corporation
888 Easy Street
Simi Valley, CA 93065
Phone:
PI:
Topic#:
(805) 582-0582
Tasso Politopoulos
OSD12-ER1      Awarded: 4/4/2013
Title:Graphical Evolutionary Hybrid Neuro-Observer (GNeuroObs) System
Abstract:The core project objective is to demonstrate the Graphical Evolutionary Hybrid Neuro- Observer (GNueroObs) System in conducting complex system workflow analysis for visualizing the interaction between components and subsystems. This software tool provides a state-of-the-art systems analysis framework compiling technologies involving: (a) advanced system and degradation modeling techniques using hybrid schemes with dynamic event network modeling; (b) novel automated knowledge generation; (c) high performance health monitoring (fault diagnosis) methodologies; and (d) advanced object-oriented software engineering practices. A novel methodology is developed and tailored to evaluate faults and engineering changes and their propagated effects within complex systems. This is made possible by understanding intrinsic natural behavior as well as degradation tendencies for entities (subsystems and components). The software toolset satisfies current OSD needs by including the capabilities of: (i) system decomposition; (ii) modeling of entity interrelations; (iii) graphical representation; and (iv) quantitative information overlay. The software is verified and validated with a representative target system. The overall expectation is that this software will enable engineers to obtain a more realistic understanding of complex system behavior.

CyDesign Labs, Inc.
1810A Embarcadero Road
Palo Alto, CA 94303
Phone:
PI:
Topic#:
(760) 310-5061
Michael Koopmans
OSD12-ER1      Awarded: 6/18/2013
Title:Evaluating Component Interactions Within Complex Systems
Abstract:Understanding complex system behavior and designing resilient systems is becoming progressively more difficult. Additionally, tools available to visualize interactional behaviors within and surrounding the system of interest are lacking. Therefore, as identified in the OSD SBIR call, there is a substantial need for new tools to understand and visualize complex system behaviors during the design phase. This proposal outlines a method and software tool that can communicate the significance of component, subsystem, and system interactions to designers and generate workflows for the detection, evaluation, and remediation of unintended system interactions. Using the Marine Corps' Amphibious Assault Vehicle as a test case, our proposed technology will help users discover new information and enable them to understand how particular interactions are the result of system conditions and/or design actions. As delivered, our comprehensive displays of interactions will be of immediate use for integration within an Engineered Resilient Systems environment. Using our tool, problems are identified early on during the design process and can be eliminated through redesign, thereby allowing acquisition programs to mature and conclude faster and at a lower overall cost to the Government.

Intelligent Systems Technology, Inc.
12122 Victoria Ave
Los Angeles, CA 90066
Phone:
PI:
Topic#:
(310) 581-5440
Azad M. Madni
OSD12-ER1      Awarded: 7/12/2013
Title:VisualAnalytix™: Identification and Visualization of Interactions and their Consequences within Complex Systems
Abstract:In complex systems there tends to be greater likelihood of interactions and dependencies between components. These interactions and dependencies can give rise to unpredictable and often detrimental behaviors. To ameliorate this problem, there is a need for methods and tools that enable: detection, diagnosis, and visualization of component interactions; identification and alerting of undesirable interactions; and methods for circumventing undesirable interactions. Phase I of this effort is concerned with developing and demonstrating an interactive tool capable of helping users visualize interdependencies, test and analyze the interdependencies using diagnostic workflow routines, detect and visually depict undesirable interactions, and alert the user about detrimental interactions and their likely consequences.

Smart Information Flow Technologies, d/b/a SIFT
211 N 1st St. Suite 300
Minneapolis, MN 55401
Phone:
PI:
Topic#:
(435) 213-5776
Daniel Bryce
OSD12-ER1      Awarded: 5/2/2013
Title:STABILITY: Statistical Verification, Explanation Based Learning, and Interaction Testing for Complex Systems
Abstract:Complex systems are inherently difficult to analyze because they include multiple sub- systems that interact in stochastic and context-dependent ways. A particular challenge in designing such systems is to foresee the possible emergent interactions between the sub- systems. System repurposing makes the identification of interactions even more difficult, since the interactions vary along with the operational context. SIFT proposes to develop the STABILITY (Statistical Verification, Explanation Based Learning, and Interaction Testing for Complex Systems) system, a complex system design and analysis tool. STABILITY will support model based complex system development. STABILITY will combine human-guided workflow design, automated workflow analysis with statistical verification, succinct workflow analysis summarization with explanation based learning, and systematic workflow suite design with combinatorial interaction testing. STABILITY will provide a simple and effective framework in which to seek out, test, and understand interactions within complex systems.

Michigan Engineering Services, LLC
2890 Carpenter Road, Suite 1900
Ann Arbor, MI 48108
Phone:
PI:
Topic#:
(734) 429-7777
Geng Zhang
OSD12-ER2      Awarded: 5/22/2013
Title:Functional Allocation Trades Between Hardware and Software
Abstract:Design is the act of generating information that is used to make decisions or produce a product. Modern products are moving away from segregated disjointed systems and towards interdependent systems that utilize shared hardware and software resources (e.g. zonal power distribution, ethernet based controls, shared racks and mounts to facilitate advanced outfitting, etc.). Determining the appropriate balance between hardware and software configurations is an integral part of the design process. Modern design methods and tools still create and analyze designs as a set of disjointed systems, or in most cases, segregated analysis operations are organized by traditional technical domains. The concept of “shared resource” must become part of an integrated design process that considers allocation trade-off between hardware and software capabilities. Developing a software tool for balancing decisions when allocating investments in hardware and software during the development of complex DoD systems will have an impact on the lifecycle cost, the reliability, the robustness, and the utility of a new Defense system. Such a software tool will have the ability to select in an automated top-down approach the hardware/software configuration which will maximize the utility of the system through probabilistic analysis given a set of targeted performance characteristics. It will also be possible to use the new software in a manual bottom-up approach in order to assess the utility of a particular selection of hardware/software configuration made by the user. In either mode of operation, information will be presented in a graphical format for easy interpretation of the impacts that the selections have to the performance of the system. Such a research effort will be pursued by Michigan Engineering Services, LLC (MES) under the proposed SBIR program for developing a Decision Support toolkit for Hardware/Software allocation studies (DS toolkit for H/S).

VIStology, Inc
5 Mountainview Drive
Framingham, MA 01701
Phone:
PI:
Topic#:
(508) 788-5088
Jakub Moskal
OSD12-ER2      Awarded: 7/31/2013
Title:Functional Allocation Trades Between Hardware and Software
Abstract:It is expected that the US military forces will be facing many new, unexpected types of mission – from combat operations to humanitarian assistance and disaster recovery (HA/DR). To be able to accomplish such missions, the military will require “resilient systems” of all kinds – digital, electrical and mechanical. The development of such new systems requires new design tools that can support the designer in exploring solution spaces and analyzing the suitability of a specific solution for a specific mission or task, as well as for a class of potential future missions and tasks. Such a capability is referred to as “tradespace exploration”. This project will develop a prototype of a tool to support the designer of a resilient system in allocating functionalities to either hardware or software. The tool will be based on the principles of optimization and will provide a rationalization for the particular selections of the allocations. The tool will utilize models expressed in both UML and in semantic languages, like OWL. The designer will be able to enter problem formulations, descriptions of functions, systems and components. Additionally, this project will analyze and formalize various allocation problems and investigate algorithms for specific problems. VIStology will be collaborating with Raytheon, especially in the development of use cases and scenarios, as well as in the evaluation of the tool.

WW Technology Group
4519 Mustering Drum
Ellicott City, MD 21042
Phone:
PI:
Topic#:
(410) 418-4353
Chris J. Walter
OSD12-ER2      Awarded: 8/23/2013
Title:Functional Allocation Trades Between Hardware and Software
Abstract:Design, analysis, and assessment of multiple alternatives is important to ensuring the development and fielding of DoD systems that face increasingly dynamic and rapid changes in missions. New methods and tools are needed that compensate and recover from disruptions, adapt to dynamic environments, and rapidly deliver new solutions. A key goal is ensuring that engineering programs maximize utility and represent best value for the investment across a breadth of potential missions in joint operational environments. In this Phase I SBIR, we will develop a software tool with an approach for allocating system functions to implementations of hardware or software. The design studies will be evaluated with quantitative assessment techniques to determine the strengths and weaknesses of each allocation options. This will be provided in a context that supports multiple abstraction layers and decomposition views from a hierarchically increasing view (e.g. component, subsystem, system, and system-of-systems). The software tool uses a design study method that enables comparative assessments to be made between allocations of the same function to hardware and software implementations. The results will be summarized in a dashboard display to the decision maker with graphical visualizations supported by quantitative assessments of factors evaluations.

Sonalysts
215 Parkway North P.O. Box 280
Waterford, CT 06385
Phone:
PI:
Topic#:
(540) 663-9034
Stephen Dorton
OSD12-HS1      Awarded: 5/14/2013
Title:Human Computer Interfaces for supervisory control of Multi-mission, Multi-Agent Autonomy
Abstract:We propose to develop a collaborative control user interface that will enable operators to work more effectively with highly autonomous vehicles by engaging in a dialog to exchange ideas, ask questions, and resolve differences. We will develop a concept of operations for the collaborative control user interface, and we will create specific, representative scenarios describing situations and events that benefit from collaborative control. We will develop a preliminary ontology that describes the semantics and pragmatics of the information exchange between the operator and the vehicle. We will develop a software architecture that specifies the capabilities, algorithms, knowledge requirements, and interfaces of each software module. We will develop a limited software prototype that illustrates key elements of our approach to demonstrate its utility and feasibility. Finally, we will develop autonomous vehicle evaluation metrics, paying special attention to the efficiency and effectiveness of the operator-vehicle collaboration.

Stottler Henke Associates, Inc.
1670 South Amphlett Blvd. Suite 310
San Mateo, CA 94402
Phone:
PI:
Topic#:
(650) 931-2700
Emilio Remolina
OSD12-HS1      Awarded: 5/14/2013
Title:Intelligent Collaborative Control User Interfaces to Autonomous Vehicles
Abstract:We propose to develop a collaborative control user interface that will enable operators to work more effectively with highly autonomous vehicles by engaging in a dialog to exchange ideas, ask questions, and resolve differences. We will develop a concept of operations for the collaborative control user interface, and we will create specific, representative scenarios describing situations and events that benefit from collaborative control. We will develop a preliminary ontology that describes the semantics and pragmatics of the information exchange between the operator and the vehicle. We will develop a software architecture that specifies the capabilities, algorithms, knowledge requirements, and interfaces of each software module. We will develop a limited software prototype that illustrates key elements of our approach to demonstrate its utility and feasibility. Finally, we will develop autonomous vehicle evaluation metrics, paying special attention to the efficiency and effectiveness of the operator-vehicle collaboration.

Traclabs, Inc.
100 Northeast Loop 410 Suite 520
San Antonio, TX 78216
Phone:
PI:
Topic#:
(281) 461-7886
David Kortenkamp
OSD12-HS1      Awarded: 5/15/2013
Title:Autonomy Management Platform
Abstract:Autonomous vehicles are becoming more and more integral to our nation's defense. A DoD object is to free humans from direct control and move towards supervisory control of multiple, autonomous assets. Achieving this objective will require significant advances in decision support and supervisory control concepts. Current operator interfaces require continuous attention from the operator to a single unmanned vehicle. In fact, many require the attention of several operators. In addition, designing and building the decision support components often requires significant expertise in computer science, artificial intelligence, and software engineering. This makes the cost of developing, maintaining, and modifying these systems exorbitant. Our approach is to design reusable, ontology-driven decision support tools that can be configured into an Autonomy Management Platform (AMP) that can assist an operator in controlling and directing several unmanned vehicles at the same time. We also propose an ontology editor that lets non-computer scientists create and update the assets, capabilities, tasks, and environment of the various unmanned vehicles. These ontologies are used by the decision support tools, which allows for flexibility and extensibility of AMP. The benefits will be reduced cost of operations and increased productivity of the operators while saving time and money in the design, deployment, and maintenance of decision support systems for multi-asset coordination.

Aptima, Inc.
12 Gill Street Suite 1400
Woburn, MA 01801
Phone:
PI:
Topic#:
(781) 935-3966
Stacy Pfautz
OSD12-HS2      Awarded: 2/26/2013
Title:SONIC – Sensor Operations via Naturalistic Interactive Control
Abstract:Intelligence Surveillance and Reconnaissance (ISR) requires the ability to navigate and interpret mounds of data to produce actionable decisions. The ever-changing need to incorporate new capabilities into daily operations has increased the complexity of this task in recent years. Through the ICE Box environment, AFRL is redefining a ConOps for future ISR operations and redesigning how analysts interact with ISR technologies. However, the ICE Box human-machine interface does not yet provide a “naturalistic” experience to its users. To support this need, the Aptima team proposes to develop SONIC (Sensor Operations via Naturalistic Interactive Control), a multi-modal user interaction framework optimized for use within highly immersive workspaces such as ICE Box, to provide a naturalistic way for analysts to control and receive information from remote networks of sensors. SONIC will emphasize three primary design criteria: (1) incorporating relevant human factors constructs into the interaction design framework; (2) intelligent fusion of multi-modal user inputs; and (3) integrating contextual information into the user interface. Ultimately, the objective of SONIC is to enable analysts to collaborate and provide mission support from remote locations more effectively without an increase in workload or a decrease in performance.

Design Interactive, Inc.
1221 E. Broadway, Suite 110
Oviedo, FL 32765
Phone:
PI:
Topic#:
(407) 706-0977
Kelly Hale
OSD12-HS2      Awarded: 2/19/2013
Title:Ecological Gesturing Ontology (EGO)
Abstract:Intelligence from strategic areas of interest comes from numerous sources, such as Unmanned Aerial Vehicles (UAVs) and Rapid Aerostat Initial Deployment (RAID) cameras, and in various formats, such as imagery, video, audio, and text. Searching through the information for analysis can be challenging, particularly when the intelligence analyst is not co-located within the conflict area. Design Interactive, Inc., along with the Electrical Engineering and Computer Science (EECS) group at the University of Central Florida, proposes the Ecological Gesturing Ontology (EGO), a primarily naturalistic gesture-based control interface for fully-immersive, synthetically-augmented displays. EGO allows the teleworking intelligence analyst to stand within a fully-immersive synthetically-augmented environment and, through ecologically designed naturalistic gesturing and vocal commands, purposefully investigate integrated intelligence data within the environment by exploring, searching for, finding, and reviewing sensor data. Further, the naturalistic human-machine interaction will incorporate a graphical interface that enables efficient interaction with and transitions between various modes of information presentation – GEOINT, HUMINT, SIGINT, etc. EGO shall be the first naturalistic human machine interface design to support the best practices of multimodal information presentation across multiple interaction modalities that will increase presence, decrease workload, and support decision-making.

Hadron Industries, Inc.
90 Airport Road
Concord, NH 03301
Phone:
PI:
Topic#:
(855) 267-4253
Frank Tanner
OSD12-HS2      Awarded: 2/28/2013
Title:Naturalistic Operator Interface for Immersive Environments
Abstract:"Remotely sensed data has an inherent physical detachment from the environment being sensed. At a high-level, we propose leveraging Oblong Industries’ revolutionary g-speak platform to restore fully embodied situational awareness through multimodal interaction within the ICEbox environment.The g-speak spatial operating environment (SOE) is the world’s first fully-embodied, spatially aware computing environment, and the result of nearly 25 years of research and development into novel methods of human-computer interaction. The g-speak system’s conceptual debut was in the movie Minority Report and recently appeared in the Iron Man films. What began as a movie concept has developed into a spatially aware, networked OS, designed from the ground-up as a whole-body, human- computer interaction platform. The g-speak SOE is designed to help programmers write applications that use gestural input, function well on large screens and for simultaneous users, work across multiple computers and screens, and can be built from loosely-coupled small programs. By design, g-speak understands the relationships between the operator and the environment. By using a variety of hand gestures, as well as interaction with physical objects and/or mobile devices, g-speak is uniquely capable of restoring embodiment to the task of computing in general, and immersive situational awareness in particular."

Unova Technologies
9015 N. Cobre Drive
Phoenix, AZ 85028
Phone:
PI:
Topic#:
(480) 363-5109
Jeffrey A. Getzlaff
OSD12-HS2      Awarded: 2/22/2013
Title:Naturalistic Operator Interface for Immersive Environments
Abstract:This proposal addresses the significant need for supervisory control of sensor networks within a fully-immersive synthetic environment with novel Human-Machine Interfaces (HMIs). A methodology and process to design a Synthetic Environment Machine Interface System (SEMIS) with multi-modal inference processing based on gestures and speech is detailed. The Phase 1 Work Plan employs the Rational Unified Process and AGILE software methodologies to ensure a focus on a supervisory operator’s needs and system goals. Examples of innovative proposed functionality include: a collaborative unmanned sensor group, sensor action ring overlay, HMI sensor toolkits, gesture table, 3D holograms, temporal timeline, health and status displays and data product tools. A cognitive analysis plan is utilized for analysis of problem domain functionality with respect to operator workload, varying levels of automation, and portrayal of information for sensor monitoring and re- tasking. A software testbed is also created for analysis and testing of proposed algorithms and HMI visualizations. At the end of Phase I, results of the research of are presented coupled with a limited demonstration of the SEMIS with the AFRL’s ICEbox in a supervisory operator mission scenario. Market segments are defined for commercialization, including PED systems, UxV ground control stations, medical imaging, and Cyber Warfare markets.

Charles River Analytics Inc.
625 Mount Auburn Street
Cambridge, MA 02138
Phone:
PI:
Topic#:
(617) 491-3474
Camille Monnier
OSD12-HS3      Awarded: 5/22/2013
Title:Taxiing Operations via Gesture Understanding (TOPGUN)
Abstract:Unmanned Aerial Systems (UAS) play an increasingly important role in many military scenarios. For the Navy to incorporate UAS—such as those currently being developed under the Unmanned Combat Air System Carrier Demonstration (UCAS-D) program—into its critical missions without impacting the current sortie rate, an efficient protocol is needed for handling UAS on aircraft carrier decks. We propose to design and develop a system for Taxiing OPerations via Gesture UNderstanding (TOPGUN). The fundamental premise of our approach is to use the same communication modality (i.e., gestures) for controlling UAS as for piloted aircraft. Our solution uses on-board cameras to track flight deck directors and to recognize their gestures without requiring modifications to operator equipment or to the carrier deck. The underlying software will build on state-of-the-art video-based human tracking, pose estimation, and gesture recognition technologies previously developed by our team to produce an efficient and reliable system for gesture-based control of UAS during carrier deck operations.

Physical Optics Corporation
Electro-Optics Systems Division 1845 West 205th Street
Torrance, CA 90501
Phone:
PI:
Topic#:
(310) 320-3088
Ofir Garcia
OSD12-HS3      Awarded: 5/23/2013
Title:Insect-Inspired Non-Imaging Gesture Human Tracking Array Optics
Abstract:To address the OSD need for a minimally intrusive technology that supports aircraft carrier operator gesture recognition, Physical Optics Corporation (POC) proposes to develop a new Non-Imaging Gesture Human Tracking Array Optics (NIGHT-AO). This proposed device is based on a novel, low size weight and power (SWAP), insect-inspired dual-band (visible-infrared) optical array design that utilizes POC-developed mature components and COTS components. The innovation in optical array configuration, angular resolution, embedded processing network algorithm and speed (at low SWAP) will enable the device to rapidly recognize, acknowledge, and learn new commands used in standard carrier operations. As a result, this device offers seamless integration of upcoming unmanned air systems (UAS) into current carrier operations, and maintains or improves current sortie rates, directly addressing upcoming UAS acquisition program requirements. In Phase I, POC will provide a feasibility study for a natural dialogue-based gesture-recognition human control interface for UAS in carrier-based operations. A final report will be delivered including system performance metrics and plans for Phase II. Additionally, POC will demonstrate the feasibility of NIGHT-AO by building a proof-of-concept prototype. In Phase II, POC plans to build an improved prototype system to be tested in a laboratory simulating the aircraft-carrier CONOPS environment.

Systems Technology, Inc.
13766 S. Hawthorne Blvd.
Hawthorne, CA 90250
Phone:
PI:
Topic#:
(310) 679-2281
Edward Bachelder
OSD12-HS3      Awarded: 5/23/2013
Title:Natural Dialogue – based Gesture Recognition for Unmanned Aerial System Carrier Deck Operations
Abstract:"Remotely sensed data has an inherent physical detachment from the environment being sensed. At a high-level, we propose leveraging Oblong Industries’ revolutionary g-speak platform to restore fully embodied situational awareness through multimodal interaction within the ICEbox environment.The g-speak spatial operating environment (SOE) is the world’s first fully-embodied, spatially aware computing environment, and the result of nearly 25 years of research and development into novel methods of human-computer interaction. The g-speak system’s conceptual debut was in the movie Minority Report and recently appeared in the Iron Man films. What began as a movie concept has developed into a spatially aware, networked OS, designed from the ground-up as a whole-body, human- computer interaction platform. The g-speak SOE is designed to help programmers write applications that use gestural input, function well on large screens and for simultaneous users, work across multiple computers and screens, and can be built from loosely-coupled small programs. By design, g-speak understands the relationships between the operator and the environment. By using a variety of hand gestures, as well as interaction with physical objects and/or mobile devices, g-speak is uniquely capable of restoring embodiment to the task of computing in general, and immersive situational awareness in particular."

Charles River Analytics Inc.
625 Mount Auburn Street
Cambridge, MA 02138
Phone:
PI:
Topic#:
(617) 491-3474
Sean Guarino
OSD12-IA1      Awarded: 2/25/2013
Title:Toolkit for Managing Evaluation and Testing for Red Team Investigations of Cyber Security (METRICS)
Abstract:Adversaries have become increasingly proficient at cyber attacks against our military’s command and control (C2) infrastructure. Maintaining security requires high-fidelity assessments of software services, often implemented as cyber Red Team exercises in which Systems Under Test (SUTs) are subjected to attacks designed to evaluate defensive capabilities. These tests produce massive amounts of data with subtle patterns and effects that can be difficult to interpret post-experimentally, let alone in real time where these effects would enable more thorough, dynamic, and realistic testing of SUT security. To address this need, we propose to design and demonstrate a toolkit for Managing Evaluation and Testing for Red Team Investigations of Cyber Security (METRICS). The METRICS toolkit includes four key components: (1) a library of contextualized metrics that incorporate a full understanding of system and attack implications to support real-time assessment of the SUT cyber defense; (2) intuitive authoring tools for customizing and developing metrics for evolving SUTs, attacks, and experiment needs; (3) adaptable and adaptive visualizations that present analysis results in manner that ensures observability of critical patterns during ongoing experiments; and (4) a collection harness that employs COTS packet sniffers and agent-based data collection tools to non-intrusively collect data for analysis.

Global InfoTek, Inc
1920 Association Drive Suite 200
Reston, VA 20191
Phone:
PI:
Topic#:
(703) 652-1600
Ray Emami
OSD12-IA1      Awarded: 2/25/2013
Title:Coral Viz
Abstract:Global InfoTek, Inc. will research methods for developmental testing of cyber attacks on enterprise applications and services. The research will focus on visualization, analytics and data capture approaches for determining the impact of cyber attacks on Service Oriented Architecture (SOA) based services and applications. The resulting research will create prototype tools that can assist development teams in identifying security vulnerabilities, performance inhibitors and robustness of services that would be deployed in conjunction with a SOA framework. The initial challenges will address how to create a flexible visualization platform that can show the impact of a cyber attack on multiple layers of the Opens System Interconnection (OSI) stack from hardware performance to network topologies to security services to data services. This visualization will be accompanied by an analytical engine that can make meaning of the data captures from enterprise sensors and provide it to developers in a manner that is meaningful and useful. These tools will be specifically designed to adapt to the rapid addition and subtraction of SOA services and to provide repeatable tests that developers can use to test, debug and validate service and application performance.

Intelligent Automation, Inc.
15400 Calhoun Drive Suite 400
Rockville, MD 20855
Phone:
PI:
Topic#:
(301) 294-4633
Song Luo
OSD12-IA1      Awarded: 2/25/2013
Title:Hermes: A Visualized and Automated Cyber Security Assessment Toolkit
Abstract:IAI and its transition partners, Raytheon BBN Technologies and Raytheon Integrated Defense Systems, propose the Hermes framework and toolkit for cyber security assessment and evaluation tests, which facilitates test exercises in managing, processing, and analyzing large logging datasets from distributed and service-centric computing test bed. Another major capability of this toolkit is that it gains an aggregate system view before, during, and post assessment exercises, and delivers analytical results on various performance metrics qualitatively, quantitatively, and visually. Hermes is also capable of predictive analysis based on network topology, attack progression, and host/application status. It provides a holistic DVR-like visualization which captures not only the hardware and software resources in the test bed but also attacking and defending progresses, and allows testers to record and repeatedly replay assessment exercises. The Hermes framework will greatly help cyber testers obtain the insight of attack/defense mechanism and Systems Under Test (SUT).

21CT, Inc.
6011 West Courtyard Drive Bldg 5, Suite 300
Austin, TX 78730
Phone:
PI:
Topic#:
(512) 682-4730
Jonathan Mugan
OSD12-IA2      Awarded: 2/22/2013
Title:SATPAM - Self Awareness Through Predictive Abstraction Modeling
Abstract:Current computer systems are dumb automatons; their blind execution of instructions makes them open to attack. Their inability to reason means they don’t consider the larger, constantly changing context outside their immediate inputs. Their nearsightedness is particularly dangerous because, in our complex systems, it is difficult to prevent all exploitable situations. Additionally, the lack of autonomous oversight of our systems means they are unable to fight through attacks. Keeping our adversaries completely out of our systems may be an unreasonable expectation, and our systems need to adapt to attacks and other disruptions to achieve our objectives. What is needed is an autonomous controller within the computer system that can sense the state of the system and reason about that state. 21CT proposes SATPAM, which uses prediction to learn abstractions that allow it to recognize the right events at the right level of detail. These abstractions allow SATPAM to break the world into small, relatively independent, pieces that allow employment of existing reasoning methods.

ATC - NY
33 Thornwood Drive, Suite 500
Ithaca, NY 14850
Phone:
PI:
Topic#:
(607) 257-1975
Hajime Inoue
OSD12-IA2      Awarded: 3/7/2013
Title:VMCIS: A Cognitive Immune System for Virtual Machine-based Mission Critical Applications
Abstract:Cyber systems remain susceptible to attack and compromise despite the best security efforts. There are two growing trends in the research community to address this: a paradigm of prioritizing missions over individual network resources, and a push for resilient systems capable of fighting through cyber attacks. ATC-NY will develop VMCIS, the Virtual Machine Cognitive Immune System, which combines both approaches. VMCIS constantly monitors systems at many execution levels and automatically takes corrective actions when necessary. VMCIS reasons about system state using a probabilistic, hierarchical logic engine that is built around a model of mission-success. It directs corrective actions using a System Controller that can manipulate both the hypervisor to checkpoint, rollback, and migrate VMs, and the operating system to install, remove, restart, or kill applications. VMCIS also provides APIs so developers can add customized instrumentation and remediation actions.

GrammaTech, Inc
531 Esty Street
Ithaca, NY 14850
Phone:
PI:
Topic#:
(949) 573-8814
Brad Arant
OSD12-IA2      Awarded: 3/13/2013
Title:Multi-Abstractions System Reasoning Infrastructure toward Achieving Adaptive Computing Systems
Abstract:"The complexity of modern computer systems has grown to the point of stressing human ability to understand their behavior completely. The sheer number of software components (and the myriad interactions between them) that are present on a single desktop computer presents a difficult security challenge that continues to confound modern protection technologies. Every day, new exploits are created that take advantage of obscure combinations of software bugs and unexpected behavior to sidestep existing defenses. Response is slow, requiring human effort to diagnose and develop new counter-measures to each new threat.GrammaTech envisions a new paradigm for building system security that endows the computer, itself, with the tools to diagnose new attacks, reason about their impact to the system, and implement countermeasures in an automatic fashion. Autonomy- oriented computation offers the potential to allow complex computer systems to police themselves, detecting intrusion, performing self-healing, and directly countering cyber threats."

Intelligent Automation, Inc.
15400 Calhoun Drive Suite 400
Rockville, MD 20855
Phone:
PI:
Topic#:
(301) 294-5218
Peng Xie
OSD12-IA2      Awarded: 2/27/2013
Title:SAM: A Self-adaptive Monitoring System Architecture
Abstract:Self-adaptive monitoring systems are highly desirable and demanded in military and civilian application scenarios. In this effort, we leverage our in-house machine learning framework, ABMiner and ontological knowledge representation workbench to address the challenging problem, and propose the self-adaptive monitoring architecture, called SAM. In SAM, we mature data mining techniques to set up a multi-feature model for the monitored application. The multi-feature monitoring model can be used to monitor the execution of the application online. ABMiner tool allows us to use various machine learning techniques, including ensembles, to select the most significant semantic features to characterize the monitored application. Moreover, we will enhance ABMiner by integrating the weighted ensemble methods to automatically adjust to drifting features inherited in software applications. Additionally, we leverage our work on ontological knowledge representation techniques to represent the execution of an application program in an understandable way to enable human experts to adjust the automatic reasoning system. Finally, we will integrate the proposed techniques in a workable self-adaptive monitoring prototype capable of checking the execution of dynamically evolving applications.

Charles River Analytics Inc.
625 Mount Auburn Street
Cambridge, MA 02138
Phone:
PI:
Topic#:
(617) 491-3474
Erik Thomsen
OSD12-IA3      Awarded: 6/10/2013
Title:Framework for Computing Assurance Measurements based on Evolving Resilience Metrics (FRAMER)
Abstract:As command and control, doctrine, and tactics evolve with the cyber network at its core, mission-critical tasks increasingly rely on the integrity and responsiveness of the network and other cyber assets. While this trend has acted as a tremendous force multiplier and OPTEMPO accelerator, two major concerns arise: (1) network usage demands will soon outstrip the capabilities of a resource-constrained network (e.g., download requests for UAV data exceeding available bandwidth); and (2) the growing capabilities of adversaries to wage cyber warfare will disrupt networks. To assess mission assurance based on the resilience and criticality of cyber assets, we propose to design and demonstrate a Framework for Computing Assurance Measurements based on Evolving Resilience Metrics (FRAMER) that measures mission assurance through cyber asset resilience and criticality metrics. FRAMER introduces a new set of criticality and resilience metrics by maintaining a constantly evolving set of mappings between cyber assets and prioritized mission elements. Together, the mappings and relationships drive the derivation of criticality and resilience measures for each cyber asset. FRAMER assesses mission assurance for each mission by aggregating the criticality and resilience of each cyber asset mapped to a collection of missions.

Intelligent Automation, Inc.
15400 Calhoun Drive Suite 400
Rockville, MD 20855
Phone:
PI:
Topic#:
(301) 294-5215
Yi Cheng
OSD12-IA3      Awarded: 5/7/2013
Title:CREACT: Advanced Network Security Metrics for Cyber REsilience and Asset CriTicality Measurement in Mission Success
Abstract:Cyber assets usually support missions with different priorities. How to effectively evaluate the health of a network and its ability to achieve the overall mission is critical to ensure mission success. In this effort, Intelligent Automation, Inc. proposes “CREACT”, a set of advanced network security metrics for cyber resilience and asset criticality measurement in a large- scale and dynamic network environment. Essentially, advanced valued-based goal models and efficient mission-to-asset mapping, resource allocation, vulnerability assessment, threat analysis and impact mitigation techniques will be developed for cyber resilience and asset criticality modeling, evaluation and measurement. The developed technologies will be implemented into an integrated software toolkit for comprehensive cyber security analysis and network defense to achieve mission success.

Intelligent Automation, Inc.
15400 Calhoun Drive Suite 400
Rockville, MD 20855
Phone:
PI:
Topic#:
(301) 294-4251
Justin Yackoski
OSD12-IA4      Awarded: 6/4/2013
Title:Recognition of New Advanced Threats Using Purpose and Network Correlators (RAPCOR)
Abstract:Cyber intrusion and anomaly detection techniques suffer from their reliance upon the presence of known malicious signatures or unusual conditions that warrant further investigation. The use of signature-based detection cannot effectively eliminate false negatives when dealing with advanced persistent threats (APTs). Furthermore, current detection tools incur very high false positives. To address such challenges, Intelligent Automation, Inc. (IAI), along with Prof. Guofei Gu from Texas A&M University, proposes to develop novel non-signature based APT detection algorithms that allow proper identification, prioritization, and understanding of attacks. The key innovation is to place detectors within the network and individual hosts to provide real-time purpose and correlation inputs and then use this information combined with network-specific knowledge to create a dynamic “spider web”-like set of threads that, when touched by a given alert, allow the immediate identification of the context surrounding the alert and thus the automatic calculation of the alert’s legitimacy and severity. The result is that much of the follow-up investigation of each alert is shifted into the attack prioritization process, allowing this context to correctly prioritize alerts. The burden on operators is thus reduced both by significantly improved prioritization and by providing a contextual picture of each potential attack identified.

Numerica Corporation
4850 Hahns Peak Drive Suite 200
Loveland, CO 80538
Phone:
PI:
Topic#:
(970) 612-2333
Randy Paffenroth
OSD12-IA4      Awarded: 6/11/2013
Title:Novel Detection Mechanisms for Advanced Persistent Threats
Abstract:Department of Defense (DoD) operations are supported by a global network of computers, sensors, and equipment that is continually at risk of being breached by adversaries. Despite heavy investments in security and cyber defense, the ubiquity and interconnectedness of DoD equipment leave open the possibility of intrusion through a myriad of means including advanced persistent threats (APTs). Such threats take many forms, such as Trojans, worms, spear-phishing, and viruses, all of which could prove detrimental to the war-fighter if not discovered. Unfortunately, the ``base rate fallacy' places fundamental limits on the performance of detection algorithms in the cyber-defense context. Are there any directions left in which to tackle this important problem? We would claim the answer to that question is a resounding ``yes', and modern techniques in sensor fusion, multiple hypothesis testing, and compressed sensing lead to algorithms with quite advantageous properties. These methods have all paid large dividends in other problem domains, such as medical studies and mathematical finance, but have not yet seen their full bloom in cyber-defense problems, a deficit we hope to remedy herein. In particular, a judicious choice of sensors and sensor fusion methodologies provide promising paths for improving the state of the art.

Paradigm Shift International
2051 Lama Mountain Box 289
Questa, NM 87556
Phone:
PI:
Topic#:
(575) 586-1536
Rick Dove
OSD12-IA4      Awarded: 9/6/2013
Title:Novel Detection Mechanisms for Advanced Persistent Threat
Abstract:This project employs a massively parallel, low cost, low power, associative-memory pattern detection processor soon-to-market by a major semiconductor producer. Phase 1 will use a microprocessor emulator to develop, test, and analyze “very large scale anomaly detectors” (developed under a prior SBIR project) organized in a 3-level hierarchical sense-making architecture of spatial, temporal, and correlative pattern detectors – for employment at network endpoints. A fourth level in the sense-making hierarchy will be deferred until Phase 2, and provide cross-endpoint network-wide correlative pattern detection. The Phase 1 project has three principle objectives: 1) to establish performance and values of the very large scale anomaly detectors for detecting zero-day and advanced persistent threat attacks, and 2) to develop a semi-supervised learning process that converges on a sparse but sufficiently optimal pattern dictionary for each of the three levels in the hierarchy. and 3) to demonstrate capability to discover previously unseen attacks with high true positives and low false positives.

Charles River Analytics Inc.
625 Mount Auburn Street
Cambridge, MA 02138
Phone:
PI:
Topic#:
(617) 491-3474
Joseph Gorman
OSD12-IA5      Awarded: 5/7/2013
Title:Feed Aggregation for Threat Evaluation Service (FATES)
Abstract:CNDSP analysts protect US computer networks, detect threat occurrences on those networks, and respond to threat incidents. The adage “know thy enemy” is as true for network defense as it is for defense of any asset. A robust computer network defense requires current knowledge of possible and actual threats and knowledge of conditions within the network. However, analysts must invest valuable time manually gathering and processing threat descriptions, which reduces the time available for understanding the nature of new threats, preparing responses to those threats, monitoring network conditions for threat occurrences, and responding to threat incidents. Approaches are needed that automate and make routine collection of threat information, aggregating collected information into comprehensive threat descriptions, assessing the risk severity posed to US networks, and generating meaningful I&W for a future or occurring threat. We propose a Feed Aggregation and Threat Evaluation Service (FATES) that will: (1) automatically collect network threat information from multiple threat information feeds, (2) aggregate information from these feeds to produce a timely comprehensive threat description, (3) provide web services that distribute threat descriptions to CNDSP analysts displays, and (4) provide a web service that distributes advanced I&W for CNDSP analysts.

InferLink Corporation
2361 Rosecrans Avenue, Suite 348
El Segundo, CA 90245
Phone:
PI:
Topic#:
(310) 944-4813
Greg Barish
OSD12-IA5      Awarded: 6/25/2013
Title:ThreatRank: aggregating and prioritizing network threats
Abstract:The need to defend computer networks becomes increasingly vital as the volume of data generated by both man and machine continues to explode. However, the capability of rapidly analyzing large numbers of heterogeneous threat sensors (feeds) for various security outposts has become its own challenge. Ideally, one would like to aggregate these threat feeds and prioritize incidents at a global view, based on the entire context that is observable. However, this is not trivial; feeds vary in terms of how they report similar information, and there is no central aggregation point to cluster similar threats. For this SBIR, we propose ThreatRank, a system for rapidly and automatically integrating, aggregating, and ranking data from these feeds, to organize and simplify the global view of current threats, so that situational awareness can be maximized. Our approach builds on our significant experience with AI and statistically-based approaches to intelligent data integration and prediction, offering a way to handle the problem in a scalable, maintainable manner.

Intelligent Automation, Inc.
15400 Calhoun Drive Suite 400
Rockville, MD 20855
Phone:
PI:
Topic#:
(301) 294-4634
Jyotirmaya Nanda
OSD12-IA5      Awarded: 5/22/2013
Title:An Integrated Threat feed Aggregation, Analysis, and Visualization (TAAV) Tool for Cyber Situational Awareness
Abstract:Cyber security analysts are inundated with heterogeneous threat feeds created by different kinds of cyber security monitoring tools such as Snort, Nessus, Symantec etc. There is a need for streamlining threat analysis to help operators focus on prompt identification and comprehension of security threats early on. To address this critical need, Intelligent Automation Inc. (IAI), with Prof. Peng Liu from Penn State University, is proposing an integrated tool for heterogeneous and multi-structured Threat feed Aggregation, Analysis, and Visualization (TAAV). The proposed framework will execute automated expert and data driven multi-dimensional and time correlated threat feed analysis that will categorize threat feeds into “threat baskets”. The identified relevant threat baskets will be prioritized according to their perceived scale of vulnerability by performing latent threat association detection and alert correlation over ongoing as well as historical attack information. The result of the automated analysis will be presented in an easily understandable display with accompanying maps and charts. An empirical study will be performed on the Phase I prototype using a scalable test bed. TAAV will be developed end-to-end in Java using open source tools (e.g. Quartz scheduler, Spring Batch, Talend, JBoss Drools, Accumulo).

Intelligent Automation, Inc.
15400 Calhoun Drive Suite 400
Rockville, MD 20855
Phone:
PI:
Topic#:
(301) 294-4454
Sohraab Soltani
OSD12-IA6      Awarded: 5/22/2013
Title:RADAR: A Comprehensive and Dynamic Framework toward Real time Network Traffic Resiliency
Abstract:This effort proposes a comprehensive framework to design and develop an intelligent, dynamic and real time traffic monitoring/filtering system to identify and covertly divert suspicious/malicious traffic (within an enterprise network) to specific locations for further analysis and to ensure resilient network traffic boundary. The proposed approach exploits existing algorithms/technologies (e.g., commercial traffic monitoring/filtering tools, threat detection algorithms, commercial routers configurations) to develop a complete traffic resilience enabling system that dynamically monitors, detects and intelligently redirects suspicious traffic to isolated locations in the network in a real time manner. We refer to the proposed framework as Realtime, Adaptive and Dynamic trAffic Resilient, the RADAR framework. Using IAIfs experimental network testbed, we will study the feasibility of the proposed RADAR framework over a network comprising of hybrid sets of routers. We will integrate software routers, routers which support open source firmware, such as OpenWrt or DD-WRT, and other widely used commercial routers such as CISCO, Juniper and Linksys into our implementation. A preliminary prototype will be provided to demonstrate our Dynamic Traffic Resilience mechanisms.

Physical Optics Corporation
Applied Technologies Division 1845 W. 205th Street
Torrance, CA 90501
Phone:
PI:
Topic#:
(310) 320-3088
Alexander Milovanov
OSD12-IA6      Awarded: 7/19/2013
Title:Threats Redirection and Analysis System
Abstract:To address the OSD need for an innovative model and a dynamic system of cyber threat identification coupled with a means to redirect suspicious or malicious network activity to independent locations for investigation, Physical Optics Corporation (POC) proposes to develop a new Threats Redirection and Analysis System (TRAS). TRAS integrates POC- developed network protection model with existing BGP FLOWSPEC. TRAS monitors network traffic and dynamically detects attacks despite signature. It correlates and aggregates different threat data and uses FLOWSPEC to covertly redirect detected malicious traffic to disparate location for DoD to perform organized analysis of advanced persistent threat. TRAS’s rule-based intrusion detection mechanism enables detecting stealth network reconnaissance, low frequency attacks, and currently undetectable new generation of cyber attacks such as highly distributed and coordinated attacks. In Phase I, POC will define a plan to develop TRAS’s model and ruleset and demonstrate the feasibility of concept by assembling and testing a prototype. In Phase II, POC plans to develop an advanced prototype to demonstrate the capability to directly manipulate the path of network activity and hop count using IPv6 and reliably protect networks against existing and future attacks.

Black River Systems Company, Inc.
162 Genesee Street
Utica, NY 13502
Phone:
PI:
Topic#:
(315) 732-7385
Dale Klamer
OSD12-LD1      Awarded: 2/25/2013
Title:Autonomous Sensing and Deciding Framework Processor
Abstract:Our objective is to develop an innovative cognitive knowledge-aided information processing framework to take very high rate intelligence data streams over wide areas and autonomously highlight AOIs and targets for the image analyst without a priori knowledge of the area or location of the individual high interest targets. We will design, implement, test, and demonstrate an initial multi-agent autonomous sensing and deciding framework, including the development of knowledge bases, detecting anomalies between a real-time scene and the knowledge bases, mining the knowledge bases for new patterns and relationships, monitoring Areas of Interest specified by the analyst, and provide automated machine learning and ranking of anomalies within the multi-agent framework. Based on traffic pattern analysis and pattern of life, we derived knowledge bases and apply sound statistical analysis to detect changes between the current real-time scene and the derived knowledge bases. Through the use of Relevance Vector Machines, machine learning agents learn the important characteristics of AOIs and individual targets.

Stottler Henke Associates, Inc.
1670 South Amphlett Blvd. Suite 310
San Mateo, CA 94402
Phone:
PI:
Topic#:
(650) 931-2700
Richard Stottler
OSD12-LD1      Awarded: 2/25/2013
Title:A framework for fielding Artificial Intelligence techniques on High Performance Computing (HPC) Hardware
Abstract:The ultimate goal of this proposed effort is to improve the ability to determine suspicious radar track behavior and suspicious areas to focus attention on. We propose a framework for representing the knowledge and human-quality reasoning required to process large quantities of radar data, transforming it into a form that can be efficiently executed in real time on an HPC system, and then efficiently executing it given the actual dynamic tactical situation. In addition to being scalable up to a large number of pixels and objects, it should also be adaptable both in the long term to different HPC configurations and in real time to different dynamic computational loads. In Phase I we will study the urban environment and resulting radar data; determine the tactical reasoning and available information that can be applied to knowledge-based frame- to-frame radar track correlation and vehicle behavior analysis; elaborate the heuristics and algorithms for learning traffic patterns, normalcy, and other knowledge from past data; develop techniques for the automatic translation to a form for HPC hardware; develop real- time HPC resource scheduling techniques; prove the feasibility through prototype development, experimental testing with real radar data, and demonstration; and develop the Phase II system design.

Toyon Research Corp.
6800 Cortona Drive
Goleta, CA 93117
Phone:
PI:
Topic#:
(805) 968-6787
Charlene S. Ahn
OSD12-LD1      Awarded: 2/25/2013
Title:Autonomous Sensing and Deciding Framework Processor
Abstract:Toyon Research Corporation proposes to develop innovative algorithms for screening large volumes of intelligence data to autonomously highlight areas of interest for the research analyst. Toyon’s dual-level architecture will at the first level employ advanced data fusion and pattern recognition technologies to obtain long-term persistent tracks from SAR information data products. The fusion algorithms will provide persistent feature-aided tracking, target classification, and target fingerprinting to monitor and characterize each vehicle in the surveillance region. This set of tracks will supply the data from which behavioral features will be extracted. These long-term tracks and the behavioral features will feed a threat detection algorithm that will detect abnormal behaviors. In Phase I, Toyon will perform a feasibility study of the proposed solution by developing and extending component data fusion algorithms, designing the behavioral feature models, and evaluating anomaly detection performance to meet the specified technical objectives of the project.

User Systems, Incorporated
2137 Defense Highway, Suite 12
Crofton, MD 21114
Phone:
PI:
Topic#:
(410) 451-6799
Kancham Chotoo
OSD12-LD1      Awarded: 2/25/2013
Title:Autonomous Sensing and Deciding Framework Processor
Abstract:The goal of this SBIR effort is to develop an autonomous capability that image analysts will utilize to extract useful information from a large volume of data in real time. A key component of this capability is the development of a tool that will fully utilize very large intelligence data streams, e.g., those that collect data over spatially wide areas. Areas of interest (unusual activity) will be identified 10 to 100 times faster than analysts can do today. Further, the tool will discover key areas of interest that previously may have escaped identification. Our approach will focus on an innovative Unusual Activity or Inactivity Detector (UAID) using change detection products over wide areas and long periods of time that are commonly obtained from a synthetic aperture radar system. The changes include moving targets, arrival/departure of vehicles, tracks, etc. The UAID will ingest the high-resolution SAR data products and highlight only those areas/activities of high interest to image analysts and decision makers.

Applied Systems Intelligence, Inc.
3650 Brookside Parkway Suite 400
Alpharetta, GA 30022
Phone:
PI:
Topic#:
(678) 665-5668
John Merrihew
OSD12-LD2      Awarded: 5/23/2013
Title:Fusing Uncertain and Heterogeneous Information – Making Sense of the Battlefield
Abstract:ASI proposes to develop and evaluate a Phase I Demonstration System for the Improved Fusion Algorithm System (IFAS) based on its artificial intelligence technology for building Associate Systems. This Demonstration System will be based on requirements analysis with a written requirements document and will be evaluated by military operator users. Requirements analysis will include performance of cognitive task analysis to identify and detail scenarios which can be used to structure the Phase I demonstration system. The existing ASI Solomon (registered trademark) technology for Associate Systems will be augmented with stochastic networks using CVAR distributions and statistics according to the requirements. The requirements will also be used to structure user evaluations.

Charles River Analytics Inc.
625 Mount Auburn Street
Cambridge, MA 02138
Phone:
PI:
Topic#:
(617) 491-3474
Erik Thomsen
OSD12-LD2      Awarded: 5/13/2013
Title:A Decision Support Tool using Canonical Representations and Algorithms for Data Fusion and Information Delivery (CRA-FIND)
Abstract:Members of the armed forces depend on the quality of their information for mission success. Providing high quality information requires optimizing the value of the dynamic “information economy,” where data fusion is the supply, information requirements are the demand, and information delivery is how they connect. Though data fusion, requirements capture, and information delivery are often framed as algorithm problems, lessons from industry show that information quality problems are also caused by the lack of standard mathematical models (i.e., canonical forms) for multi-level representations of information. Canonical representations link data fusion, requirements capture, and information delivery through a mathematically sound, data- and model-driven approach. We therefore propose to design and demonstrate a decision support tool using Canonical Representations and Algorithms for Data Fusion and Information Delivery (CRA-FIND) that provides a: (1) test environment for data fusion and information delivery algorithms; (2) software-instantiated method that links algorithms via canonical representations to a shareable world model, thereby improving their robustness and precision; (3) systematic method for learning the contexts under which different algorithms perform well and using this information to manage those algorithms’ use; (4) general, reusable algorithm that queries the world model for information that can impact an algorithm’s outputs.

Toyon Research Corp.
6800 Cortona Drive
Goleta, CA 93117
Phone:
PI:
Topic#:
(805) 968-6787
Charlene S. Ahn
OSD12-LD2      Awarded: 5/23/2013
Title:Fusing Uncertain and Heterogeneous Information – Making Sense of the Battlefield
Abstract:Today's decision analysts are faced with an ever-increasing amount of information from a large number of sensors and other data sets. Data fusion is a key component of this effort to integrate information from various data sources. In particular, one of the crucial aspects in battlefield operations concerns the development of continuous, unambiguous tracks on objects of interest in the surveillance area. Toyon Research Corporation proposes to research and design a system that integrates and fuses data from disparate sensors in order to aid command-level decisions, particularly by persistently tracking targets of interest. Toyon will develop stochastic methods for identifying decision points in the problem of integrating information through data fusion. In addition, advanced inference algorithms to integrate information will be developed and enhanced, based on Toyon’s previous work with its Fusion and Correlation for Tracked Object Retention (FACTOR) module, which has submodules for kinematic fusion and for inferencing algorithms.

Aptima, Inc.
12 Gill Street Suite 1400
Woburn, MA 01801
Phone:
PI:
Topic#:
(781) 496-2465
Charlotte Shabarekh
OSD12-LD3      Awarded: 4/4/2013
Title:TERRAIN: Temporal Exploitation and Reasoning using Resource-Activity Inference Networks
Abstract:Detecting targets and predicting threat networks hidden in high volume all-source intelligence is a central challenge in the intelligence Processing, Exploitation and Dissemination (PED) cycle. Failure to maintain a common picture and shared situational awareness across disparate sensor products can result in enormous information loss, placing the entire team and intelligence community at a severe disadvantage. By improving the tasking of sensors, only the most salient intelligence will be collected, thus reducing the volume of data to be analyzed and optimizing the PED cycle. Aptima proposes to develop Temporal Exploitation and Reasoning using Resource-Activity Inference Networks (TERRAIN), an integrated system for Tasking, Collection, Processing, Exploitation and Dissemination (TC-PED). TERRAIN system will innovatively combine three critical functions in support of Marine Corps missions: active sensor stream analysis, threat situation estimation, and sensor allocation planning to produce a sensor tasking system that maximizes limited resources by identifying gaps in the current coverage and forecasting where future sensor coverage need will be greatest. Designed with Hadoop’s Map-Reduce Architecture for integration to a cloud-based computing environment, TERRAIN will be a lightweight, online system that scales to a high volume of streaming, multi-intelligence sensor feeds.

Commonwealth Computer Research, Inc.
1422 Sachem Pl., Unit #1
Charlottesville, VA 22901
Phone:
PI:
Topic#:
(434) 299-0090
Kevin Corby
OSD12-LD3      Awarded: 4/4/2013
Title:Intelligence Driven Intelligence Collection
Abstract:As the number and type of sensors and associated platforms grows, the complexity of collection management skyrockets. Achieving the goal of developing more effective and efficient collection plans requires a more informed collection management information architecture. This architecture must not only optimize collection plans based on infor-mation requirements and priority, but it must leverage the data that already exist within the intelligence repositories. These data can be used in two ways. First, intelligence re- positories can be scanned to determine if information requirements can be satisfied using the data already collected instead of creating more collection requirements. Second, when collections are necessary, they can be done more effectively by leveraging the power of predictive analytics to anticipate where the targets will be. In this proposal, CCRi describes a three phase collection management architecture that will guide users to creating unambiguous, complete, and well structured collection re- quirements that are both machine interpretable as well as human readable. The system will seek opportunities to avoid collection using existing data, and then optimize collec-tions using state-of-the art optimization techniques in conjunction with predictive analytic outputs.

Intelligent Automation, Inc.
15400 Calhoun Drive Suite 400
Rockville, MD 20855
Phone:
PI:
Topic#:
(301) 294-4241
Onur Savas
OSD12-LD3      Awarded: 4/3/2013
Title:Data-Centric Sensor Planning in a Cloud Environment
Abstract:The Department of Defense (DoD) has initiated a Data-to-Decisions (D2D) program to develop an open-source architecture system that enables rapid integration of existing and future data exploitation tools to achieve a new paradigm in the management and analysis of data. Big Data solutions, e.g., cloud computing and Hadoop/MapReduce, has shown their advantages on Big Data storage and intelligent analytics in many commercial applications, and is considered to be adopted in the D2D program. One of the applications that could benefit is automated sensor planning (or management) based on shared situation awareness (SA). In other words, sensors can be dynamically tasked (or re-tasked) based on the latest status of information requirements and on-line analytic predictive processing (OLAP). To address this need, we propose a systematic approach based on cloud computing that provide scalable data mining/analysis algorithms as well as tools and platforms for ingesting real- time sensor data (e.g., technical, semantic, unstructured) for shared situational awareness and predictive processing, and drive the sensor planning loop. The proposed product will be extensively tested in a cloud computing environment.

Lakota Technical Solutions, Inc.
PO Box 2309
Columbia, MD 21045
Phone:
PI:
Topic#:
(410) 381-9780
William J.Farrell
OSD12-LD3      Awarded: 4/2/2013
Title:Data to Decisions, Information Systems Technology
Abstract:Under this SBIR program, Lakota Technical Solutions, Inc. (Lakota) will develop a Level 4 fusion (Process Refinement) capability implemented within a cloud computing architecture. Leveraging an existing Multi-Sensor Exploitation Management System (MSEMS), Lakota will define cloud-based services for: (1) multi-INT sensor information storage and retrieval, (2) automated information needs assessment, and (3) assignment of sensor tasks to sensor resources. To realize a scalable capability with respect to the number of sensor assets and information needs, open-source cloud computing technologies will be employed to execute and distribute the MSESM functionality across a network of commodity hardware using a distributed semantic knowledge base for efficient storage, retrieval, and reasoning about multi-INT sensor information. Using the modular, extensible, and maintainable MSEMS architecture in conjunction with the scalability of cloud computing, the proposed approach offers a large-scale process refinement framework that aligns sensor collection needs with changing mission requirements and knowledge fidelity.

Charles River Analytics Inc.
625 Mount Auburn Street
Cambridge, MA 02138
Phone:
PI:
Topic#:
(617) 491-3474
Michael Farry
OSD12-LD4      Awarded: 5/21/2013
Title:A system for Using Knowledge of Narratives for Optimizing Workspaces to Enhance Reasoning (KNOWER)
Abstract:The wealth of data provided by modern information fusion (IF) tools to intelligence analysts exceeds their ability to effectively process, exploit, and disseminate actionable intelligence. This issue arises because these IF tools define information value and usage statically, and consider analysts rational and deterministic system components, rather than dynamic, critically thinking individuals who may exhibit biases and cognitive overload. To overcome those issues, we propose to design a novel IF system for Using Knowledge of Narratives for Optimizing Workspaces to Enhance Reasoning (KNOWER). Our solution consists of three main thrusts. First, we will develop a framework for using narrative within IF to provide a more naturalistic, intuitive means for framing human consumption and communication of information. Second, we will use that framework in the design of a workspace that provides intuitive interfaces for composing, reasoning about, and refining analytical hypotheses derived from IF in terms of narratives. Third, we will design IF methods that can respond to analyst information needs, expressed in terms of narrative elements. We will design and demonstrate KNOWER to establish the feasibility of our approach, and to establish an evaluation plan and performance metrics for Phase II.

Soar Technology, Inc.
3600 Green Court Suite 600
Ann Arbor, MI 48105
Phone:
PI:
Topic#:
(734) 887-7621
Jack Zaientz
OSD12-LD4      Awarded: 8/7/2013
Title:Intuitive Information Fusion and Visualization
Abstract:Traditional Information Fusions (IF) systems need to be expanded to encompass a decision support system (DSS) role that enables analysts and commander to manage the volume and heterogeneity of sensor data, including the textual ‘soft’ data descriptive of the social cultural landscape characteristics of contemporary missions. To achieve these improvements, SoarTech, supported by NCSU, will develop Sensemaking Patterns for Analysis and Decision-making (SPADE) a hybrid human computer interaction IF/DSS systems that draws its requirements from abductive hypothesis generation, a feature of sophisticated human decision models including sense-making and recognition primed decision-making. SPADE will apply hierarchical task network and hypothesis graphs to support temporal, spatial, semantic hypothesis definitions. SPADE uses user populated hypothesis patterns to auto- generate and adapt queries for existing, vetted data processing algorithms such as sentiment analysis and text indexing. This will enable analysts and decision makers to easily encode analytic and mission-planning hypothesis, including decision and time constraints, and automatically gain data management and integration, emergent concept detection, and hypothesis testing across traditional INTs and social data. SPADE will better support the coupling of data and decision needs, better mitigate analysis biases, and better support analysis and decision-making under uncertainty and time constraints.

DECISIVE ANALYTICS Corporation
1235 South Clark Street Suite 400
Arlington, VA 22202
Phone:
PI:
Topic#:
(703) 414-5032
Timothy Hawes
OSD12-LD5      Awarded: 2/27/2013
Title:Event Attribute Recognition and Labeling (EARL)
Abstract:Today’s intelligence analysts are overwhelmed with textual data in the form of Human Intelligence and open source data from the web. The amount of texts that analysts have access to is far greater than one could ever read. This is a fundamental problem for analysts who have pressing strategic and tactical deadlines. Innovations in event extraction help resolve this problem by turning unstructured text in to structured data stores of events. However, with millions of events in a database, simple event extraction does not sufficiently contribute to analysts’ Situational Awareness (SA). To truly increase SA, events must be searchable based on how, when, and if they occurred. This requires the ability to automatically recognize event attributes with very high accuracy. Under the Event Attribute Recognition and Labeling (EARL) effort numerous innovations towards high quality event attribute extraction are made. The EARL approach will use a multi-task classifier that simultaneously labels all attributes, with better accuracy than existing approaches. The EARL approach exploits deep linguistic features extracted from unstructured text. Finally, the EARL approach radically augments the data available, inexpensively and efficiently, by using crowdsourcing. The result is a capability that will far exceeded the current state-of-the-art in event attribute recognition.

Intelligent Automation, Inc.
15400 Calhoun Drive Suite 400
Rockville, MD 20855
Phone:
PI:
Topic#:
(301) 294-5214
Kaizhi Tang
OSD12-LD5      Awarded: 3/1/2013
Title:LASER: a Linguistic enriched And Scalable Event attribute extRaction System
Abstract:With the fast growth of web data and HUMINT reports, intelligent analysts need the capability to rapidly monitor and analyze event information in those massive amounts of unstructured textual data, in order to achieve and maintain persistent Situational Awareness (SA). Intelligent Automation, Inc., along with our collaborators, proposes to develop a Linguistic enriched And Scalable Event attribute extRaction System: LASER. There are three major innovations in LASER, firstly, it integrates even richer and more specialized features into each of the four classification models for the four event attributes, namely, modality, polarity, genericity and tense; secondly, it adopts robust classification models that can handle unbalanced class problem (which is the case in event attribute extraction); thirdly, it incorporates three post-correction approaches which are expected to bring more performance gains to event attribute extraction. LASER also leverages a state-of-the-art event extraction system which extracts relative high quality events such that event attributes can be further extracted. Furthermore, LASER uses powerful cloud computing architecture for information management and algorithmic computation.

Language Computer Corporation
2435 N. Central Expressway Suite 1200
Richardson, TX 75080
Phone:
PI:
Topic#:
(972) 231-0052
Sean Monahan
OSD12-LD5      Awarded: 2/27/2013
Title:Recognizing Event Attributes in Unstructured Text (REACT)
Abstract:In Phase I of REACT, we will demonstrate how extraction of attributes dealing with modality, polarity, and genericity can enhance the quality of information provided by a state-of-the-art event extraction and coreference system to provide actionable intelligence to analysts. We will demonstrate how our research makes significant improvements to the understanding of polarity and veridicality, the characterization of events as generic or episodic, the inference of author perspectives, and the fusion of event attributes across mentions to enhance the knowledge surrounding and improve the analyst’s situational awareness. We plan to leverage existing state-of-the-art natural language understanding and content extraction capabilities including (1) wide coverage event recognition and coreference resolution, (2) open-domain, customizable information extraction, and (3) methods for determining the social intentions of authors in text. This will enable us to extract events and the rich forms of semantic and pragmatic information expressed in their attributes in order to find and fuse information that satisfies the demands of today’s information analysts.

DECISIVE ANALYTICS Corporation
1235 South Clark Street Suite 400
Arlington, VA 22202
Phone:
PI:
Topic#:
(703) 414-5139
Mark Frymire
OSD12-LD6      Awarded: 4/3/2013
Title:AUDIO-based Cloud-enabled Language and Intelligence Processing (AUDIO-CLIP)
Abstract:Military operational tempo requires rapid development of highly accurate intelligence products from massive stores of data. Manual processing of data on this scale is infeasible. Automated processing systems have been developed to help analysts find the most relevant data to their current information requirements. This automated processing allows analysts to focus their efforts on performing higher level analysis. Unfortunately, most of these tools require the data to be in proper English. However, a significant percentage of the most fruitful data is in the native language of the areas of operation. Due to high error rates of automated transcription and translation tools, the majority of analytical tools are unable to produce meaningful results from this data. Therefore, DAC proposes to the AUDIO-based Cloud-enabled Language and Intelligence Processing (AUDIO-CLIP) system. The AUDIO-CLIP system will be focused on making all collected audio data available for real-time intelligence analysis and product generation. The algorithms within the system will focus on improving the automated generation of intelligence from foreign audio. AUDIO-CLIP will operate on foreign audio, transcriptions, and translations with the ultimate goal of improving the accuracy of the English transcripts for use by downstream analytical engines while also directly extracting intelligence at each step.

Li Creative Technologies
25 B Hanover Road, Suite 140
Florham Park, NJ 07932
Phone:
PI:
Topic#:
(973) 822-0048
Qi (Peter) Li
OSD12-LD6      Awarded: 4/5/2013
Title:Text Analytics from Audio
Abstract:We propose to design and implement a system that combines multiple audio transcription and multiple translation tools with natural language processing capabilities, such that information can be automatically extracted from audio files with improved performances. In our approach, speech waveforms of a foreign language are first processed to remove background noise using our noise reduction algorithm developed based on our patented auditory transform theory. The clean speech is then feed forward to multiple speech recognizers to convert to text. A error correction algorithm is then applied to reduce word error rates based on the text and a neural language model. Following that, multiple machine translators are used to translate the text to English. An error correction algorithm with English language model is then applied to make further correction. Finally, a natural language processing unit extracts out the entities, associations, concepts, and themes. Based on recent research results, the proposed approach has the potential to reduce word error rates by 20% and improve the entire system robustness. Our solution will leverage our experience and expertise in noise reduction, speech enhancement, neural network training, robust speech recognition and language model construction.

Progeny Systems Corporation
9500 Innovation Drive
Manassas, VA 20110
Phone:
PI:
Topic#:
(703) 368-6107
Gary Sikora
OSD12-LD6      Awarded: 4/4/2013
Title:Text Analytics from Audio
Abstract:Audio transcription, translation and Natural Language Processing (NLP) capabilities are required to automate the extraction of actionable information from foreign language audio files. The problem is that these language processing components are traditionally stand- alone and pipelined together producing accumulative growing word error rates, significantly degrading the level of trust. To overcome the shortfalls of a multi-staged pipelined approach we propose a two stage approach comprised of Automated Speech Recognition (ASR) transcription, then a Foreign Language Analysis (FLA) stage that goes directly from foreign language text to English concept encoded in FrameNet semantic frames. Given the innovation and newness of the FLA approach our proposal focuses on this stage, leveraging internal stages of SYSTRAN’s translation capabilities – as commercial device technologies evolve, more and better ASR solutions will be inherent available such as the iPhone Siri and Android Google Voice. The ability to have a single component or app to go directly from these device ASRs to semantic frames will result high levels of trust while easing integration with applications that need to consume actionable information. The plan is to produce 200 Farsi sentences with various tones and noise, use a commercial Farsi ASR and co-develop a Farsi FLA with SYSTRAN.

Arctan, Inc.
2200 Wilson Blvd. Ste. 102-150
Arlington, VA 22201
Phone:
PI:
Topic#:
(202) 379-4723
Michael Morefield
OSD12-LD7      Awarded: 5/2/2013
Title:Tactical Information Management (OCCAM)
Abstract:A system to automatically identify mission-relevant information within modern tactical databases, score them relative to current mission state, and transmit the most important elements in a timely manner to small unit leaders and other decision elements – subject to the constraints of both human and digital tactical bandwidth.

Broadata Communications, Inc.
2545 W. 237th Street, Suite K
Torrance, CA 90505
Phone:
PI:
Topic#:
(310) 530-1416
Prachee Sharma
OSD12-LD7      Awarded: 5/2/2013
Title:Broadata Tactical Information Management System
Abstract:The amount of data streaming into tactical systems is overwhelming the operators. The amount of information is so much that the situational awareness regarding the unfolding situations is difficult to extract from large amounts of data. The goal of this SBIR is to design and develop a framework for managing information with emphasis on the relative value of that information for a wide range of operations. To meet the goals of this SBIR, we propose a Tactical Information Management System or TIMS in this proposal. TIMS can be installed at the combat operations center. In this case, the data will be available from multiple sources and stored in the databases. TIMS shall implement detailed algorithms for filtering and prioritizing the data. The filtered data will be forwarded to the warfighters over low throughput links or to higher or adjacent command as need. Data filtering and prioritization algorithms in TIMS will include data processing and condition algorithms, algorithms to perform indexing and semantic analysis of the algorithms. A detailed approach for ranking the data is described. Multiple data attributes will be considered in information prioritization.

Intelligent Models, Inc.
9710 Traville Gateway Drive
Rockville, MD 20850
Phone:
PI:
Topic#:
(240) 401-9746
Yuri Levchuk
OSD12-LD7      Awarded: 5/2/2013
Title:Dynamic Information Assessment and Management Of Network Dissemination(DIAMOND)
Abstract:Recent revolutions in sensor technologies, coupled with a worldwide cultural phenomenon of social networking, offer an unprecedented window into the day-to-day lifecycles of human societies and regional populations. At the same time, the current trend toward higher- resolution, larger fields of view of existing and planned ISR systems is driving data volumes exponentially, exacerbated by the continuous demands for extending what can be inferred from data. This escalated data volume is overwhelming the cognitive constraints experienced by the intelligence analysts and turning the latter into a crucial bottleneck that hinders the overall system effectiveness. The negative impacts percolate downstream to the distributed warfighters operating tactical computing devices and upstream to the Combat Operations Centers. To promote efficient discovery of mission insights and to streamline their communication and processing by human operators, we propose DIAMOND (Dynamic Information Assessment and Management Of Network Dissemination) -- a novel intelligent automation engine equipped with scalable computing and visualization algorithms to automate the value-of- information assessment and concomitant value-based filtering, triage, fusion, and intuitive visualization of mission-critical Intel feeds. DIAMOND will help users to quickly discover, prioritize and highlight relevant information, and effectively communicate valuable Intel that elucidates relevant (but potentially dispersed and obscured) information.

Mercury Data Systems
4214 Beechwood Drive Suite 105
Greensboro, NC 27410
Phone:
PI:
Topic#:
(336) 294-2828
John Taylor
OSD12-LD7      Awarded: 5/2/2013
Title:Tactical Information Management
Abstract:We will develop a modular, distributed Bayesian inference system to provide a networked context inference system capable of operating on processor constrained devices. The Bayesian inference system will enable task automation via capabilities to extract relevance of situational awareness information, functional processes to develop plans and policies and to determine the utility of plan/policy options. The small unit leader will also be supported by a Decision-Centric user interface.

Boston Fusion Corp.
1 Van de Graaff Drive Suite 107
Burlington, MA 01803
Phone:
PI:
Topic#:
(617) 583-5730
Connie Fournelle
OSD12-LD8      Awarded: 4/11/2013
Title:Semantic Targeting using Analyst Role, Topics and Entity Recognition (STARTER)
Abstract:Typical search technology ignores the intended usage of documents—missing the opportunity to tailor prioritization and anticipate supplemental materials. Semantic targeting—tailoring content to the user’s predicted interests or needs—shows promise for improving analytical workflows. What is needed is a sophisticated approach to incorporating the user as part of the data model, leveraging the data, behaviors and interests of the user, and of prior analysts. Because analyst turnover is rampant, embedding legacy knowledge into the data model is critical for capturing guidance of trained analysts and helping new analysts conquer steep learning curves. We will assess the state-of-the-art, develop a system concept, and build a prototype to automatically adapt search using analysts’ roles. We will learn how role-specific individuals select and navigate content, follow leads, and identify relevant data in complex, multi-step tasking to accomplish this vision. To minimize the training data burden, we rely on minimally- invasive approaches that discover the roles, semantic content, and semantic connections. We will leverage and extend work in probabilistic topic modeling to include the role information and complex operational tasking. We will leverage our experience on the ONR-sponsored Mission-Focused Autonomy program to develop a plan to transition STARTER to an intelligence analysis environment.

Next Century Corporation
7075 Samuel Morse Drive Suite 250
Columbia, MD 21046
Phone:
PI:
Topic#:
(443) 545-3175
Todd Hughes
OSD12-LD8      Awarded: 4/16/2013
Title:Semantic Targeting for Open Source Intelligence Analysis
Abstract:Next Century Corporation proposes to develop text analytic technology that crosses the semantic gap at the shallow (but broad) area of event representation. The Event Representation and Structuring of Text (EVEREST) system will search for mappings to a semantic event model, interactively suggesting evidence for the occurrence of whole or partial events for human analysis and reporting. Our semantic targeting approach extends the ideas Open Information Extraction, Event Web, Semantic Web, and the Ozone Widget Framework. We believe that an event-centric approach will be critical for generating narratives that confer meaning upon large, complex, uncertain, and incomplete data sets.

Smart Information Flow Technologies, d/b/a SIFT
211 N 1st St. Suite 300
Minneapolis, MN 55401
Phone:
PI:
Topic#:
(781) 799-3603
Mark Burstein
OSD12-LD8      Awarded: 4/10/2013
Title:STRIDER: Semantic Targeting of Relevant Individuals, Dispositions, Events, and Relations
Abstract:The proposed STRIDER (Semantic Targeting of Relevant Individuals, Dispositions, Events, and Relations) technology combines an open source semantic parser with task-specific knowledge structures and diagram-based user interfaces to automatically extract, display, and record mission-relevant information for intelligence analysts. The approach works by (1) gathering details about the analyst's objectives using a link diagram interface, (2) performing semantic analysis to extract objective-relevant information from a large corpus, and (3) displaying and recording the extracted information for the analyst. STRIDER integrates with existing link diagram products to consume and enrich the information the analyst has gathered and recorded through other means. This ultimately reduces the time and cognitive load of finding, analyzing, and recording information for intelligence analysis problems. STRIDER is semi-automatic information extraction technology that is guided by the user's objectives and the user's attention.