Agency: Department of Defense | Branch: Navy | Program: STTR | Phase: Phase II | Award Amount: 1.00M | Year: 2016
We propose the design and development of LCS radar modeling for training a radar modeling engine that capture the effects of environment, weather, jamming/interference and operator actions on radar display. The purpose of this engine is to reduce or eliminate the need for live training by faithfully capturing the scenarios encountered by a radar operator. The primary target radars for the proposed effort are LCS radars, including TRS-3D and SEA GIRAFFE.
Agency: Department of Defense | Branch: Army | Program: SBIR | Phase: Phase II | Award Amount: 1.00M | Year: 2016
Most combat casualty care systems are based on proprietary hardware and software, which make it difficult to achieve transparent wireless capabilities for monitoring, storage, and communications integration with both civilian and military networks. Moreover, tactical networks tend to be heterogeneous and dynamic. Under such unfriendly networking conditions, it is critical yet challenging to provide casualty care units the reliable and secure access to the latest medical information from any location on the battlefield. Furthermore, strong security requirements must be satisfied in the above medical data access. To address these issues, IAI is developing a Secure Wireless Architecture for Combat Casualty Care (SWAC3) system that can enable robust, secure and efficient sharing of medical data among medical units to improve combat casualty care. The focus of SWAC3 system is to develop a tactical medical data cloud that can provide the distributed medical data storage, data processing, and data presentation services with a web/mobile based user interface. In Phase I, we performed feasibility studies and preliminary system implementation, and demonstrated the feasibility of SWAC3 system. In Phase II, we will refine our design and further develop a fully functional prototype system.
Agency: National Aeronautics and Space Administration | Branch: | Program: SBIR | Phase: Phase II | Award Amount: 750.00K | Year: 2016
Conventional SAR operates in the Stripmap mode. Wide unambiguous swath coverage and high azimuth resolution pose contradictory requirements on the design of SAR systems. A promising technique to overcome this limitation is Digital Beam-Forming (DBF) on receive where the receiving antenna is split into multiple sub-apertures. This provides the capability of forming multiple beams via post-processing. DBF techniques applied to SAR systems can increase receiving antenna gain without a reduction of the imaged area and suppress interference signals. A highly capable DBSAR instrument design would consist of wideband Transmitter-Receiver Module (TRM), precise multi-channel timing and synchronization and reconfigurable processing engine that can host the SAR processing, calibration and control routines. IAI?s proposed approach is modular, scalable and meets the NASA goals of developing an innovative analog/digital hardware design for the implementation of distributed DBSAR architectures.
Agency: Department of Transportation | Branch: | Program: SBIR | Phase: Phase II | Award Amount: 750.00K | Year: 2016
National Park Service roadways/parkways have experienced safety and congestion issues similar to other highways in the U.S., especially in the urban areas where NPS parkways are part of the metropolitan traffic network. Visually unobtrusive traffic monitoring and data collection on NPS parkways with minimal impact on viewsheds or disturbance of the historical, cultural landscape is in critical need. Most current vehicle detection products are not designed to be visually unobtrusive and lower power consumption, and their per‐lane cost for traffic monitoring are usually high. We proposes to further develop, test and deploy on George‐Washington Memorial Parkway (GWMP) a low profile, low power‐consumption and visually Unobtrusive Traffic Monitoring System (UTMS) that consists of microwave radars and Wi‐Fi scanner sensors that can either be installed on the back of NPS traffic signs along the roadway, or mounted on bridge piers or light poles, for vehicle volume, speed, travel time measurement and vehicle type classification. Drivers will not be able to perceive the sensor from the viewing angles of both traveling directions. We expect that by the end of Phase II, a fully functional, easy‐to‐use UTMS will be developed and tested for NPS parkway traffic monitoring.
Agency: Department of Homeland Security | Branch: | Program: SBIR | Phase: Phase II | Award Amount: 748.28K | Year: 2016
Today, many canine teams are dispatched in tactical operations that typically involve critical activities such as narcotics/explosives detection, suspect pursuit/apprehension, etc. A canine-mounted tracking and video/audio streaming capability is highly valuable in such cases as it can provide the canine handler and remote observers with precise and up-to-date situational awareness of ongoing events. The current price point of COTS products for such application is, however, still too high for every K9 unit in the country to afford them, and they do not yet fully satisfy typical canine team's needs. To overcome such technical challenges, IAI has previously proposed CAMEL (Canine Mounted Encompassing Locator), a low-cost, rugged, and allweather wireless video/audio and location streaming system to be carried by a canine during the operations for providing the canine handler and remote observers with real-time tactical situational awareness as well evidence recording capability. The key innovation in the proposed effort is CAMEL-2, the second generation of the CAMEL concept prototypes that is fully operational in relevant environments. The expected contribution of CAMEL-2 to the tactical canine industry is: 1) A robust canine positioning and tracking capability; 2) An effective situational awareness capability; and 3) A reliable evidence recording and archiving capability.
Agency: Department of Transportation | Branch: | Program: SBIR | Phase: Phase II | Award Amount: 1.00M | Year: 2016
Relocating overhead utilities to the subsurface can effectively reduce safety hazards on national highways and other aboveground living spaces. A typical underground space is, however, congested with buried utilities especially in an urban environment. The recordings of those underground utilities are, furthermore, often inaccurate, incomplete, out of date, or even entirely missing as a result of insufficient surveying methodologies and inadequate as-built recording practices. Consequently, the utility construction industry is plagued by aggravating accidents caused by mechanical damages to buried utilities during horizontal directional drilling (HDD) and other construction related activities. In order to address these technical challenges, we have been developing the Robotic Utility Mapping and Installation System (RUMI), a comprehensive robotic solution that improves the safety and productivity of the underground utility construction. The overarching objective of the Phase II effort is to develop RUMI-2, the second robot prototype that realizes the innovative technologies conceptualized in Phase I, and demonstrate its capabilities in a relevant environment. The expected contribution of RUMI-2 to the utility industry is: 1) Accurate robotic 3D utility mapping and digitalization; 2) Precise robotic drill-head tracking with multiple magnetic dipole transceivers; and 3) Effective robotic HDD cross-bore/obstacle avoidance.
Agency: Department of Transportation | Branch: | Program: SBIR | Phase: Phase II | Award Amount: 999.89K | Year: 2016
Traffic congestion on our nation’s transportation network poses a major threat to economic prosperity and our citizens’ quality of life. When dealing with traffic congestion, especially the congestion caused by nonrecurring events, proactively managing the traffic signals in the network can be critical in accommodating the drastically varying traffic demands caused by the non-recurrent event, thus minimizing the disruptions to the traffic flows. We proposes to further develop and test an automated, expert system based Traffic Signal Analysis and Control Decision Support System (TSAC-DSS) tool, and demonstrate/validate this tool at nearby Traffic Management Centers with real traffic network data and events. The goal of the tool is to assist TMC operators and signal engineers in making well-informed decisions on handling traffic anomalies, by performing similar levels of decision making via an expert system or other forms of artificial intelligence. The objectives of the Phase IIB project include (1) advancing the computing technology in traffic management practice; (2) building an advanced Expert System based system, which will be operational at TMCs’ and (3) testing the new system at DE and NOVA TMCs..
Agency: Department of Defense | Branch: Navy | Program: SBIR | Phase: Phase II | Award Amount: 750.00K | Year: 2016
The Micro Identification Friend or Foe Transponder (MIFFT) proposed by IAI will be capable of receiving the interrogations as required (Mode 1, 2, 3/A, C, S, 4, 5 Level 2 Broadcast), providing the related replies, and managing the Automatic Dependent Surveillance- Broadcast (ADS-B) In (TIS-B and FIS-B messages) and ADS-B Out messages complying at a minimum with the Air Traffic Control Radar Beacon System Identification Friend or Foe (IFF) Mark XII System (AIMS) 03-1000B and Radio Technical Commission for Aeronautics (RTCA) DO-260B, within a volume of 3.5 in3. The proposed Phase II effort will carry forward the trade study, prototype results and concept design generated in Phase I, to develop a fully functional MIFFT prototype that can be compliance tested and integrated with Group-2 Unmanned Aerial Vehicles (UAVs) like the RQ-21A.
Agency: National Aeronautics and Space Administration | Branch: | Program: SBIR | Phase: Phase II | Award Amount: 1.50M | Year: 2016
Global Navigation Satellite System (GNSS) signals scattered from ocean, land and ice are affected by the reflecting surface, and hence the changes induced by the surface can be observed. The full-time operation of radio navigation satellites system, abundant global signal coverage and spread spectrum communication for flexible signal processing makes GNSS reflected signals a viable candidate for Signal-Of-Opportunity (SOO) passive sensing. Existing research has shown that GNSS-Reflectometry (GNSS-R) based remote sensing has the potential to give environmental scientists a low-cost, wide-coverage measurement network that will greatly increase our knowledge of the Earth?s environmental processes. The Intelligent Automation, Inc. (IAI) team proposes to develop a GNSS Reflectometer Instrument for Bistatic Synthetic Aperture Radar (GRIBSAR) for measuring earth science parameters. Our proposed approach is modular, scalable and meets the NASA goals of multi-channel, GNSS-R system to exploit GNSS reflected signals as SOO.
Agency: Department of Energy | Branch: | Program: SBIR | Phase: Phase II | Award Amount: 1.00M | Year: 2016
The increased accessibility via remote login, along with steadily growing numbers of HPC users and projects, poses a challenging question for HPC system management: How to secure HPC systems and protect the data inside these systems? There are several challenging issues that prevent the direct deployment of existing personal computer or cloud security tools in HPC systems: 1) The overhead introduced by existing security solutions must not degrade the high computing performance, and security solutions for HPC systems must be lightweight and have small footprint; 2) security design for HPC can be tailored particularly to such platform environments (e.g., the leadership class HPC in DOE) in order to optimize the efficiency and minimize the overhead as the HPC systems generally have static software and/or hardware configurations; 3) as HPC systems are mission-critical computing infrastructures that accommodate a large number of remote login users from distinct locations, strong defense must be deployed to empower HPC systems with the capability of preventing potential zero-day attacks via remote login access that exploit previously unknown vulnerabilities; 4) data leakage prevention in HPC systems is even more critical than protecting data in personal computers or commercial clouds as data stored in HPC systems is export-controlled and even related to national security. As a result, providing strong cyber security tools to protect the data and prevent tampering in HPC systems is of critical importance to DOE’s HPC systems as well as other national HPC facilities. Nonetheless, despite such emerging demands, there are still no comprehensive software design and implementation to systemically address cyber security issues in HPC systems. Statement of How this Problem or Situation is Being Addressed: To address this critical need, Intelligent Automation Inc. (IAI) proposes to develop a Secure and Lightweight Computing Environment (SELECT) software tool for DOE’s leadership class HPC systems. The key innovation is to integrate both coarse-grained security and fine-grained security with low overhead to provide real-time tampering and data leakage detection regardless its source, which can be outsider attacks, insider attacks, or even user mis-configurations. Commercial Applications and Other Benefits: We envision that the proposed techniques, tools and software have a significant impact on the cyber security enhancement for HPC systems. In addition to the security enhancement, the result of this STTR effort can be extended and tailored for HPC systems in other government agencies and industry and to optimize the efficiency and minimize the overhead. IAI is well positioned to promote the introduction of the proposed techniques and software tools into a wide variety of commercial and military applications.