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SBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: A21CT018
We will develop broadband adaptive pulse shaping technology that is optimized specifically for IR countermeasure applications. The effort will enable a new class of precisely controlled nonlinear interactions including strong light–matter interactions developed to disrupt optical control systems applicable to both the MWIR and LWIR spectral ranges. The project will culminate in a prototype desig ...STTR Phase I 2022 Department of DefenseArmy
SBC: AKITA INNOVATIONS LLC Topic: A22BT021
In this STTR project, Akita Innovations, Adaptive3D and Prof. Ronald Smaldone will team to develop highly loaded, porous MOF elastomer resin systems that can be fabricated into unique architectures via digital light processing (DLP) additive manufacture. The project will leverage Prof. Smaldone’s unique research at the interface of organic framework materials and additive manufacture with Adapti ...STTR Phase I 2022 Department of DefenseArmy
SBC: ELEMENTUM 3D, INC. Topic: A21CT023
The proposed project seeks to increase the reliability of cold spray additive manufacturing (AM). Cold spray technology has been developed into a large format (1 m x 1 m in x-y) commercial AM system (called WarpSPEE3D) by the Australian company SPEE3D. The Australian Army is currently testing the enclosed, modular AM system in the Australian “bush” as a field-ready AM system. Supply chain and ...STTR Phase I 2022 Department of DefenseArmy
SBC: KARAGOZIAN & CASE, INC. Topic: A21CT012
Karagozian & Case, Inc. (K&C) and the University of Nebraska-Lincoln (UNL) are proposing to develop the small, portable, and low power Non-Destructive Testing and Evaluation (NDT/NDE) field device requested in Army STTR Topic A21C-T012. The device will be capable of accurately returning to estimate the strength, thickness, and reinforcement of reinforced concrete (RC) structures up to 6 feet thick ...STTR Phase I 2022 Department of DefenseArmy
SBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: SOCOM21C001
The US requires standoff precision strike capabilities in GPS-denied and high threat environments. This includes fire-and-forget lock-after-launch vision-based guidance for SOPGM. Due to emerging threats, a paradigm shift is occurring in the way we gather intelligence, maintain surveillance, and perform reconnaissance. ISR platforms are evolving, and artificial intelligence is at the forefront of ...STTR Phase I 2022 Department of DefenseSpecial Operations Command
SBC: TOYON RESEARCH CORPORATION Topic: A21CT009
Small unmanned aerial systems (sUASs) are quickly emerging as low-cost attritable aerial platforms for hostile reconnaissance, targeting, weapon delivery, and other purposes. Unlike legacy air targets, small unmanned aerial systems fly at low altitude, are easily masked by terrain features, often fly at relatively low velocities that render many forms of Doppler and time/frequency radar exploitati ...STTR Phase I 2022 Department of DefenseArmy
SBC: Arete Associates Topic: A21CT009
Areté and UCSD propose to use radar simulations and performance modeling to investigate the benefits and disadvantages of three potential MIMO Millimeter Wave (MMW), phased array configurations and to design a prototype for counter-UAS to detect, classify and track small targets out to 0.5-1.0 km range. Keys to success operational capability include sufficient SNR, sufficient angular resolution, ...STTR Phase I 2022 Department of DefenseArmy
SBC: Storagenergy Technologies, Inc. Topic: A21CT011
This Small Business Technology Transfer (STTR) project aims to leverage the recent advancement of solid oxide fuel cell (SOFC) to enable a compact and portable fuel cell system with a system-level volumetric power density of 3000W/L, which can serve as the lightweight power source for US Army. Storagenergy Technologies, Inc. (Storagenergy) proposes a compact SOFC system for portable power source ...STTR Phase I 2022 Department of DefenseArmy
SBC: ALEX AND ALICE, INC. Topic: A21CT013
In this proposal, we propose an FMCW radar based cable remaining useful life (RUL) estimator to detect, locate, and classify cable faults, and estimate the cable RUL. The system includes three key elements - an FMCW radar, a cable degradation model, and a machine learning (ML) based data processing module. The FMCW radar transmits a chirp down to the cable through a lead cable and an impedance mat ...STTR Phase I 2022 Department of DefenseArmy
SBC: COHERENT TECHNICAL SERVICES, INC. Topic: A21CT017
A mounted-to-dismounted concept for opportunistic navigation using low-earth orbit (LEO) satellite internet signals for position, navigation, and timing provides robust relative positioning among all equipped forces in a theater. The proposed system provides navigation-quality observables from multiple satellite constellations in ASPN ICD-compliant messages within a pntOS compliant architecture ba ...STTR Phase I 2022 Department of DefenseArmy