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SBC: Arva Intelligence Corp Topic: 01a
Technologies for terrestrial ecosystem management – in the area of precision agriculture and ecosystem restoration – have made significant advances recently for more sustainable practices by optimizing water, nutrients, and fertilizers Many of these technologies include monitoring and imaging of plants, soil, and crop harvest as well as their interactions, using in situ sensors, remote sensing ...STTR Phase I 2020 Department of Energy
Novel Ionomer and Polymer-Electrolyte Membrane Development for Solar-Energy-Driven Carbon Dioxide ConversionSBC: TWELVE BENEFIT CORPORATION Topic: 19b
Solar fuels production is necessary for the future of the global economy New highly conductive and stable polymer-electrolytes with low light absorption are required for efficient and cost- effective solar fuels generation Opus 12 will work with Prof Chulsung Bae at Rensselaer Polytechnic Institute (RPI) to further develop the existing polymer-electrolyte chemistry to meet the demands of this chal ...STTR Phase I 2020 Department of Energy
SBC: SIGNATURE RESEARCH, INC. Topic: 1
Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared ImagerySBC: TOYON RESEARCH CORPORATION Topic: 1
On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
SBC: FREEDOM PHOTONICS LLC Topic: 29d
Modern quantum information systems employ optical photons for long distance communication, operating at ambient temperature, between microwave cavities, which house microwave photons used in quantum computing and microwave detection. These optical photons, carried by fiber-optic or free-space links, offer a low-cost, uncooled alternative to bulky, expensive microwave coaxial cables, which are loss ...STTR Phase I 2018 Department of Energy
SBC: GLOBAL ALGAE INNOVATIONS, INC. Topic: 08c
For economically viable large-scale production of microalgae based food and biofuel to become a reality, significant improvements in algal productivity need to be achieved. With current regulatory guidelines, large scale outdoor cultivation of microalgae for these products restricts the use of transgenic algal strains, which in the laboratory, have thus far been the primary strategy taken to effec ...STTR Phase I 2018 Department of Energy
SBC: HIFUNDA LLC Topic: 22c
The discovery of large shale gas reserves in recent years has resulted in the reduction of natural gas price and a need to develop new applications for the available resource. Upgrading shale gas to liquid fuels which are more easily transportable and have greater economic value can result in significant benefits to the US. Coupled with this challenging problem the DOE has a goal of further develo ...STTR Phase I 2018 Department of Energy
SBC: MICROBIO ENGINEERING INC Topic: 08c
To advance a strong and economical biofuels and bioproducts industry, tools are needed for breeding microalgae to improve phenotypes of commercial interest, including biomass yield, culture stability, harvestability, and accumulation of valuable compounds. This project aims to increase biomass feedstock yields by the phototrophic green alga Scenedesmus obliquus by using classical breeding approach ...STTR Phase I 2018 Department of Energy
SBC: Trabus Topic: 01a
Trabus Technologies (TRABUS), working with Louisiana State University (LSU), will develop a predictive analytics-based US Inland Waterways Voyage Planning Analysis tool to help vessel traffic managers, tow boat pilots, and river lock operators maximize transport logistic resources. This tool will use current and forecasted hydrographic, meteorological, lock status, and Marine Safety Information to ...STTR Phase I 2018 Department of Energy
SBC: ERIK PAGE & ASSOCIATES, INC. Topic: 06b
Society at large and DOE in particular have an interest in the continued development and refinement of a smart grid infrastructure that more efficiently and reliably matches electrical resources to demands. While technological advances in recent years have improved the smart grid, these advances have been limited by a lack of granularity of data (e.g. environmental conditions at multiple locations ...STTR Phase I 2018 Department of Energy