Topic Information Award/Contract Number Proposal Information Company Performance

Radio Frequency (RF) Sensing of Personnel in Wooded Areas

HSHQDC-13-C-00039 HSHQDC-13-R-00009-H-SB013.1-001-0023-I
(HSHQDC-13-R-00009 Phase I)
RF Tracking in Wooded Areas

Xandem Technology, LLC
211 East 300 South, Suite 208
Salt Lake City, UT 84111-2476


This SBIR Phase I project will investigate the possibility of using a network of low-cost, battery-powered radio frequency (RF) transceivers to detect, localize and track the movements of people illegally trying to enter the US borders through wooded areas. The system uses radio tomography (RT), i.e., the changes in radio signal strength (RSS) measurements on the static links of the network over time, to localize and track stationary and moving targets. In a wooded environment, a major challenge is represented by the environmental noise, i.e., the changes in RSS introduced by e.g. wind and rain. In this project, we will demonstrate noise reduction algorithms capable of learning the characteristics of the environmental noise and filtering it from the collected RSS signals. This allows the system to detect a person crossing a link line despite the environmental noise. Moreover, in remote wooded areas, the battery-powered RF sensors composing the system must function for an extended period of time (e.g., one year). We will address the issue of power efficiency first by developing a self-synchronizing communication protocol which enables radio duty-cycling. Second, the system will adaptively adjust the sampling (i.e., communication) rate of the sensors depending on the detection of significant events (i.e., intrusions of people in the monitored area). We will test large-scale deployments of RF sensors in wooded areas and process the collected data off-line to demonstrate the ability of our RT system to accurately track people as they move through the deployment area.

Development of a Wearable Fentanyl Analog Sensor

70RSAT18C00000018 FY18.1-H-SB018.1-001-0022-I
(FY18.1 Phase I)
Bilayer Nanofibers as Wearable Sensors for Detecting Fentanyl Compounds

615 Arapeen Drive
Suite 102
Salt Lake City, UT 84108-1239


Drug overdose is now the leading cause of death for Americans under 50 years old, with fentanyl claiming more lives than any other drug. Alarmingly, the problem is increasing, with fentanyl overdoses claiming nearly twice as many lives in 2016 compared to 2015. In addition to users, first responders are at risk for coming into contact with fentanyl as they perform their duties. Fentanyl is extremely dangerous because it is odorless and lethal in small quantities. Thus, a low-cost, wearable detector for fentanyl is required to protect first responders and other vulnerable groups. Chemical sensors are appropriate for a low-cost, wearable detector. However, fentanyl is typically found in particles and most chemical sensors are designed to detect gas molecules. Fentanyl is generally found as a salt and is nonvolatile. A method to convert the salt to vapor-phase fentanyl molecules could enable detection using chemical sensors. Vaporsens proposes development of a novel bilayer sensor based on organic nanofibers. The top layer would feature nanofibers with base groups on the surface to adsorb fentanyl particles and withdraw the acid. The bottom layer would be comprised of nanofibers designed to respond to fentanyl compounds. Compared to other chemical sensors, nanofibers offer a higher degree of sensitivity and selectivity. Sensors are small in size and consume little power, appropriate for a wearable detector. The proposed sensors could play a vital role in protecting first responders from becoming victims of the opioid epidemic.

Marine Asset Tag Tracking System

NBCHC040044 04110192
(FY04.1 Phase I)
Long Range RF system for tracking status and location of shipping containers in port and on ship.

S5 Wireless, Inc.
11778 Lone Peak Parkway, Suite 140
Draper, UT 84020-6807


S5 Wireless has developed a patent pending low cost, low power, long range, deep reach Direct Sequence Spread Spectrum-based wireless tracking and telemetry solution for metropolitan telemetry and tracking markets. This solution is designed to be easy and inexpensive to deploy, low cost and low power, with high triangulation accuracy. S5 Wireless believes that this system offers significant advantages over existing and emerging alternative solutions in achieving the objectives of this solicitation, as well as meeting the needs of the commercial shipping industry.

AIS Tracking and Collision Avoidance Equipment for Small Boats

NBCHC040104 04111166
(FY04.1 Phase I)
Low Cost RF AIS Tracking and Collision Avoidance system for Small Boats

S5 Wireless, Inc.
11778 Lone Peak Parkway, Suite 140
Draper, UT 84020-6807


S5 Wireless has developed a patent pending low cost, low power, long range, deep reach Direct Sequence Spread Spectrum-based wireless tracking and telemetry solution for metropolitan telemetry and tracking markets. This solution is designed to be easy and inexpensive to deploy, low cost and low power, with high triangulation accuracy. S5 Wireless believes that this system offers significant advantages in achieving the objectives of this solicitation.

Alternatives to Cl2 in Municipal Water Purification

NBCHC050032 0421162
(FY04.2 Phase I)
Novel, NZP-Ceramics Based Water Treatment Process - "A Safe and Economical Approach"

SMAHT Ceramics Inc.
181 W. 1700 S.
Salt Lake City, UT 84115-5247


At the present time, Chlorine is an indispensible commodity when it comes to disinfecting municipal water supplies. Unfortunately, `chlorine` production and storage installations are under an ever increasing threat of terrorist attacks. Thus, there is a dire need to develop alternative municipal water purification technologies that are inherently more safe and less damaging in the event of a terrorist attack. Metallic elements such as `silver` have been known to possess excellent antimicrobial and bacteriostatic properties for a very long time. In recent years, several alternative "disinfection" approaches have emerged that utilize `silver` and other such metallic elements in conjunction with ceramic or polymeric carriers for various small scale applications. There is still considerable room for improving on the economics, safety, and scalability of such approaches through proper innovation. SMAHT Ceramics, herein, proposes the development of a novel, NZP-ceramics based water treatment technology that has better safety ("terrorism proofing"), performance and application potential than the state-of-the-art. If successfully developed, this technology is also likely to enable significant cost-savings by integrating the water filtration and purification steps. Numerous commercial applications, valued at billions of dollars, ranging from household items to chemical, biomedical, and aerospace supplies and equipment are imminent.


NBCHC050121 0511190
(FY05.1 Phase I)
Integrted Molecular Assay System

AnzenBio, LLC
2475 West California Avenue
Salt Lake City, UT 84104-1516


This Phase I proposal seeks to develop and demonstrate an improved first responder molecular analysis system based on a simplified methodology using aluminum oxide membrane (AOM) integrated sample preparation, amplification, and detection technology. This method has been shown to be faster, simpler, less expensive and more sensitive than existing methods. This proposal seeks to extend the applicability of this method to biodefense/ environmental contamination applications for simplified molecular analysis of relevant samples applicable to first responder settings. Phase I will broadly demonstrate the advantages of the proposed method by direct comparison to currently used sample preparation, amplification, and detection methods based on speed, sensitivity, complexity, and cost for analysis. Phase I Technical Objectives include demonstrating applicability of the AOM method for use with currently used pathogen harvesting methods from gas, liquid, and solid samples, investigation of relevant pathogen lysis conditions, investigation of RT-PCR detection of pathogen derived localized nucleic acids by the AOM method, direct comparison of the AOM method with conventional methods, and generation of Preliminary Specifications for an improved first responder molecular analysis system to be developed in a Phase II proposal. Phase II will lead to commercialization of a next generation first responder molecular analysis system.

Enhanced Project Safe-Cracker

NBCHC080024 0711152
(FY07.1 Phase I)
Safe-Cracker Distributed Network Code Breaking Project

AccessData Corporation
384 South 400 West
Suite 200
Lindon, UT 84042-1956


Increasing complexity of encryption used by criminals presents an ongoing challenge to law enforcement agencies. Effective code breaking attack methods have been developed for attacking many of the cryptosystems used by criminals, however, frequently attacking these files requires mammoth amounts of CPU power achieved only through the coordinated effort of hundreds or thousands of computers. AccessData has developed such distributed code breaking software called Distributed Network Attack, or DNA. The Distributed Code Breaking Silo is a project in which universities and law enforcement agencies combine resources in order to create a managed code breaking hot spot called a "silo". These silos are designed to be internet based and use a web front-end to make it easy for law enforcement agents in the field to submit the headers from encrypted files. The back-end of the silo is AccessData's DNA distributed code-breaking software which uses distributed computing resources to attack these difficult encryption problems. Technology does not currently exist to interconnect silo networks. The objective of this proposal is to architect the enhancements necessary to allow different silos to exchange information work collectively over insecure networks such as the Internet.

Innovative Educational Environments to Develop the Necessary Intellectual Basis for a National DHS S&T Workforce

NBCHC090005 0821174
(FY08.2 Phase I)
Innovative Education Environments for Content Delivery, Adaptive Training, and Real-time Decision Support

CogniTech Corporation
1060 East 100 South
Suite 306
Salt Lake City, UT 84102-1683


The proposed Phase I research will design and develop innovative technologies for the deployment of training and educational content to multiple platforms and realtime decision support, just in time learning, and adaptive training. Prototypes will include reuse of PACERs homeland security educational training content and deploy them on an iPhoneiPod Touch and integrated voice response system. This will complement PACERs existing technologies for web based training. The resulting prototypes and design specifications will serve as a foundation for a more comprehensive solution for the delivery of training content and assessments to support formal education, customized training, refresher training, and realtime decision support just in time training for the homeland security workforce to be delivered in Phase II. With appropriate content, these technologies will also benefit DHS by identifying K12 students with strengths and interests in mathematical and scientific exploration and recommend programs to continue interest throughout their educational progress.

Decision Analytic Approaches for CBRN Terrorism Risk Assessment

NBCHC090041 0911147
(FY09.1 Phase I)
Probabilistic Framework for CBRN Terrorism Risk Assessment and Decision Support

CogniTech Corporation
1060 East 100 South
Suite 306
Salt Lake City, UT 84102-1683


The proposed research will develop a probabilistic decision analysis methodology and software framework applicable to Chemical, Biological, Radiological and Nuclear (CBRN) threats and incidents. The software prototype developed in the Phase I research will include tools to enable probabilistic assessments of risk, analysis of sensitivities, and risk management strategies that can compare the impact of multiple countermeasures on outcomes. These tools will use a knowledge base that will be developed in collaboration with CBRN and public health experts. The software prototype will be demonstrated using existing scenarios and threat-related data. By exploring all plausible combinations of inputs, the software prototype will show the potential of this methodology to assist decision-makers in their understanding of risk drivers, sensitivities, and optimal response strategies.