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Awards

Topic Information Award/Contract Number Proposal Information Company Performance
Period
Award/Contract
Value
Abstract

H-SB07.2-001
Spectroscopic Methods for Explosives Detection

NBCHC080049 0721133
(FY07.2 Phase I)
"Eye-Safe" Laser-Induced-Breakdown Spectroscopy (LIBS) for Standoff Explosive Detection

Intelligent Automation, Inc.
15400 Calhoun Drive
Suite 400
Rockville, MD 20855-2737

01/15/2008
to
07/31/2008
$100,000.00

The rapid and selective detection of explosives is extremely important in a number of situations, including improvised explosive devices (IED`s), landmines, airport security, and related threats. A large number of detection techniques, both bulk methods and molecule-based approaches, have been applied to the sensing of explosives. The detection and identification of trace amounts of explosive materials at a standoff distance presents significant challenges. Laser-induced breakdown spectroscopy (LIBS) has emerged as a powerful technique for the detection of materials on surfaces. However, most current LIBS studies employ Nd:YAG fundamental 1.064 mm laser radiation. The eye-damage threshold at this wavelength is very low. It is desirable to employ a laser at a safer wavelength for explosive detection. In this proposal, Intelligent Automation, Inc. (IAI) proposes to develop "eye-safe" LIBS for standoff explosive detection. We envision that the proposed "eye-safe" LIBS system could have a significant impact in many applications such as the remote sensing of the improvison explosive device (IED) in the battle field, biological and chemical agent dection in countering terrorism, and hazardous material identification in envioriemnt protection. IAI is well positioned to introduce this new technology into a wide variety of military and commercial applications.

H-SB07.2-004
Responder - Wireless Body Area Network

NBCHC080059 0721110
(FY07.2 Phase I)
AIDnet:: Adaptive Intelligent Distributed Networking Platform To Support Next Generation Emergency Response

Aid Networks
7822 Whistling Pines Ct
Ellicott City, MD 21043-6951

01/15/2008
to
07/31/2008
$100,000.00

The recent wave of mass casualties plaguing the public safety community showed that the incident commander's situational awareness of the first responders can be quickly and easily overwhelmed. At emergency scenes, with the overburdened first responders and unreliable communication infrastructure, the lack of accurate and timely information creates an organizational nightmare for incident commanders responsible for the wellbeing of their team. Experience from serious emergency events prompted our team to collaborate with multiple emergency response jurisdictions in the Greater Washington Capital Region to develop a self-organizing wireless body area network sensor platform, as an antidote to this pernicious situation akin to the "fog of war." This Small Business Innovation Research Phase I project will prove the feasibility of creating AIDnet, a cost-effective, rapidly deployable, and reconfigurable wireless first responder monitoring solution to facilitate emergency personnel monitoring, tracking, and resource coordination. With this grant, we will create a feasibility plan for the following key enabling components of AIDnet: (1) ultra low power mote-based embedded hardware (2) distributed ad-hoc wireless communication network and (3) a software reconfigurable frameworks to enable customized body area networks.

H-SB07.2-005
Secure and Reliable Wireless Communication for Control Systems

NBCHC080061 0721164
(FY07.2 Phase I)
Securing Network Access in Wireless Sensor Networks Supporting Industrial Control System

Intelligent Automation, Inc.
15400 Calhoun Drive
Suite 400
Rockville, MD 20855-2737

01/15/2008
to
07/31/2008
$100,000.00

Industrial control systems (ICSs) are crucial to the operation of the U.S. critical infrastructures, which are often highly interconnected and mutually dependent systems. With recent technological advances in wireless mesh networking technology, seamlessly integrating wireless sensors into existing plant infrastructures can enable wide monitoring and control applications, such as oil and gas, cold chain, and machine health monitoring. The flexibility and adaptability of wireless lowers the physical and cost limitations posed by wired systems. However, as ICSs are adopting IT solutions to promote corporate connectivity and remote access capabilities, and are being designed and implemented using low-cost sensor nodes, the possibility of cyber security vulnerabilities and incidents increases dramatically. In this proposal, Intelligent Automation Inc. (IAI) and Dr. Peng Ning from North Carolina State University propose a secure network access control system that ensures authorization of communications and automatic key management among micro-electronic-mechanical sensors that are deployed in industrial control systems.

H-SB07.2-005
Secure and Reliable Wireless Communication for Control Systems

NBCHC080062 0721217
(FY07.2 Phase I)
Constructing Secure Control Systems using emerging Wireless Technologies

Techno-Sciences, Inc.
11750 Beltsville Dr
3rd Floor
Beltsville, MD 20705-3194

01/15/2008
to
07/31/2008
$100,000.00

Techno-Sciences Inc. plans to develop specific standards for security related applications for control systems and intelligent electronic devices, which can be incorporated into existing systems without interfering with control functions and disturbing their real-time nature. The proposed effort will also establish metrics to guide events to log in a control systems network. The architecture will use emerging wireless technologies which demonstrate superior performance in multipath environments with better use of the spectral bandwidth. The various innovations are required in constructing system architecture and procedures, and to create a standard which is easily and robustly implemented across various control systems making it reference for vendors and users and results in increased security of control systems. With unique set of expertise in the fields of control systems and remote monitoring through wire and wireless technologies along with its university tie-ups TSi will address all the necessary challenges in an aggressive work plan.

H-SB07.2-005
Secure and Reliable Wireless Communication for Control Systems

D09PC75536 (formerly NBCHC090021) 0722001
(FY07.2 Phase II)
Securing Network Access in Wireless Sensor Networks Supporting Industrial Control System

Intelligent Automation, Inc.
15400 Calhoun Drive
Suite 400
Rockville, MD 20855-2737

03/12/2009
to
06/11/2011
$750,000.00

In Phase I, Intelligent Automation, Inc. (IAI) developed and implemented a prototype secure network access system for wireless sensor networks that support industrial control systems. This system can provide node authentication, packet authentication, packet integrity, and packet confidentiality using standardized cryptosystems. We have demonstrated the effectiveness of the system for a small wireless sensor network with seven sensor nodes. In collaboration with our commercial partner, Emerson Process Management, we will further extend our Phase I work and integrate our system with real industrial control systems. We will add the capability of detecting the Denial of Service attacks from both external and internal malicious nodes, extend the secure access control system to large wireless mesh networks, explore channel switching techniques to mitigate the wireless interference, and develop a secure and resilient time synchronization scheme. There is a growing demand for secure and reliable wireless communication in industrial control systems, which are crucial to the operation of the U.S. critical infrastructures, such as energy, water treatment, agriculture and food, and transportation systems. Our secure and reliable wireless communications system can enhance the security and reliability of wireless sensor networks for industrial control applications.

H-SB07.2-006
Robust Algorithm Development for Multidimensional Chemical Analysis

NBCHC080065 0721135
(FY07.2 Phase I)
A Novel Peak Detection and Data Fusion Methodology for Multidimensional Chemical Analysis

Intelligent Automation, Inc.
15400 Calhoun Drive
Suite 400
Rockville, MD 20855-2737

01/15/2008
to
07/31/2008
$99,998.09

Intelligent Automation, Inc. (IAI) proposes a novel peak detection and data fusion methodology for multidimensional chemical analysis. The proposed peak detection technique is based on Continuous Wavelet Transform (CWT). Its distinction from other peak detection methods is that it does not require any baseline removal or smoothing algorithms and is robust to noise. It can differentiate the signal from the spike and colored noise and the signal-to-noise ratio can be greatly enhanced. This results in significant reduction in false alarm rates. Since the number of the detected peaks in a multidimensional space may be excessively large, efficient data reduction techniques are needed so that efficient data classification techniques can be applied to a low dimensional data. Our proposed feature extraction method takes advantage of the theoretically well-founded and established data dimensionality reduction techniques. Development of efficient data classification and data fusion are two other important components in the proposed effort. We propose to develop a Maximal Entropy (ME)-based data classification approach. Different from the existing the classifiers the proposed ME-based classification approach can automatically identify unknown chemical agents of which their signatures do not exist in the database. The classification results from different multidimensional chemical analysis techniques will then be fused by an ME-based fusion algorithm. The fusion output will be a set of probabilities of the suspected material belonging to certain kinds of known chemical agents or hazardous materials.

H-SB07.2-006
Robust Algorithm Development for Multidimensional Chemical Analysis

NBCHC090013 0722006
(FY07.2 Phase II)
A Novel Peak Detection and Data Fusion Methodology for Multidimensional Chemical Analysis

Intelligent Automation, Inc.
15400 Calhoun Drive
Suite 400
Rockville, MD 20855-2737

01/26/2009
to
04/25/2011
$750,000.00

In this proposal, Intelligent Automation, Inc. along with Applied Research Associates, Inc. proposes to develop a funny functional chemical agent classification and concentration estimation software tool with enhanced performance that will be ready for OEM test. Our prototype software will be able to detect and identify TICs-CWAs-BWAs with high true positive rate, low false positive rate, and low identification confusion, even under adverse environments. Meanwhile, when a potential hazardous agent is identified, its concentration will also be estimated using our software. They key innovation of the proposed approach lies in novel classification framework with soft decision, sensitive and selection detection, unknown class discovery capability, and a novel decision fusion technique, along with state-of the-art methods for concentration estimation of mixing agents. In Phase II, we will perform alpha and beta testing on our software before shipping out the final version of the software for acceptance testing by the OEMs and integrating our software into chemical-Biological agent sensing devices.