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SBC: OPTIMAL SYNTHESIS INC. Topic: N17AT010
Crew resource management training systems are often constrained by the high cost and lack of flexibility in coordinating a large group of human role players for part-task training. Motivated by the recent maturation of the speech synthesis and recognition technologies, speech-enabled crew role-player agents are being introduced to address these limitations. However, difficulties remain in customiz ...STTR Phase II 2019 Department of DefenseNavy
SBC: Stottler Henke Associates, Inc. Topic: N17AT004
We propose to adapt and automate the processes and technologies associated with evidence-based decision support to the Navy—providing a tool that can synthesize current cognitive and learning science knowledge and inform decisions so as to maximize the value gained for each training expenditure. We will develop a plug-play architecture that will allow us to make the best use of emerging technolo ...STTR Phase II 2019 Department of DefenseNavy
SBC: Bioenno Tech, LLC Topic: N17AT011
Development of high-energy-density, low-loss capacitors for power conversion/conditioning systems is an enabling technology to achieve the objective of reducing size, weight, and cost of transmit and receive (T/R) modules in modern radar and electronic warfare transmitters. Among capacitor technologies available, multilayer ceramic capacitors (MLCCs) are receiving more attentions. At present, howe ...STTR Phase II 2019 Department of DefenseNavy
SBC: Storagenergy Technologies, Inc. Topic: N18AT008
The objective of the efforts being proposed is to develop high energy density and power density batteries with long cycle life by high-speed additive manufacturing technologies.STTR Phase II 2019 Department of DefenseNavy
SBC: P & J ROBINSON CORP Topic: N18AT018
Protocols used for communication suffer bloat from a variety of sources, such as support for legacy features or rarely used (and unnecessary) functionality. Traditionally, the Navy subscribes to a blanket adoption of a standard protocol "as is". Unnecessary features are active and can be accessed by both internal and external systems creating security vulnerabilities. PJR Corporation's (PJR's) Pha ...STTR Phase II 2019 Department of DefenseNavy
SBC: SOAR TECHNOLOGY INC Topic: N17AT004
Evidence-based guidelines derived from the learning sciences literature can be applied to training-requirements decisions. However, accessing the state-of-the-art in the learning sciences and applying its lessons to specific training design and analysis questions can be difficult, especially for those not already familiar with the learning sciences. ARCHIMEDES, the software tool proposed in this e ...STTR Phase II 2019 Department of DefenseNavy
SBC: SOAR TECHNOLOGY INC Topic: N17AT010
Automatic Speech Recognition (ASR) allows trainees to practice verbal communication skills in representative training environments without the need for human role players. However, these technologies have yet to become a feature of most training systems. Building on Phase I work, SoarTech along with our academic partners at UC Davis, proposes developing Soliloquy, a novel interface that allows non ...STTR Phase II 2019 Department of DefenseNavy
SBC: QUALTECH SYSTEMS INC Topic: N18AT015
Qualtech Systems, Inc. (QSI), in collaboration with Vanderbilt University (VU) proposes to develop a state-of-the art Health Management System (HMS) system consisting of a small form factor GPS-enabled onboard computer, a small display for crew, and sensors for boat and engine vibration, OBD data, engine oil quality monitoring, and battery health monitoring. The HMS system will provide Wi-Fi and w ...STTR Phase II 2019 Department of DefenseNavy
SBC: Texas Research Institute, Austin, Inc. Topic: N18AT008
Texas Research Austin (TRI-Austin) will continue to partner with the University of Texas, Austin, to use additive manufacturing for fabricating and optimizing the lithium ion and electroactive metal electrode systems for which the team established proof of concept in the Phase I base period. The Aerosol Deposition Method (ADM) is a broadly applicable additive manufacturing technology that has been ...STTR Phase II 2019 Department of DefenseNavy
Integrated learning-based and regularization-based super resolution for extreme MWIR image enhancementSBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: N17AT016
OKSI and Northwestern University propose to develop a single-image super-resolution (SR) methodology for mid-wave infrared (MWIR) imagery that combines learning-based and regularization-based approaches to produce extreme enhancement of low-resolution images. We will also develop a detector-limited imaging system specifically designed to be used with the SR methodology for which even higher levels ...STTR Phase II 2019 Department of DefenseNavy