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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: 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
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: Abeam Technologies Inc. Topic: 04c
In this project, aBeam will further develop and commercialize the metrology application developed by scientists at Lawrence Berkeley National Laboratory and supported by their patent. The product will improve the capabilities of high-performance metrological instrumentation. Our technology is the enabler of well characterized quantitative metrology at the nanoscale that does not exist thus far.STTR Phase II 2017 Department of Energy
SBC: ENVERGEX LLC Topic: 15a
It is critical to have a validated modeling tool for fluid bed-based chemical looping combustion to develop scaled-up designs of equipment to reduce greenhouse gas emissions from coal and biomass fuels in power generation. The proposed work aims to develop such a modeling tool for widespread use in research and industry.STTR Phase II 2017 Department of Energy
SBC: HIFUNDA LLC Topic: 15d
HiFunda will develop a novel joining technology to enable integration of key technologies such as supercritical CO2 cycles that can significantly increase efficiencies and reduce power system size and cost. The technology platform developed will find application across a broad range of industrial sectors resulting in improved energy efficiency and economics for power systems based on coal and natu ...STTR Phase II 2017 Department of Energy
Transition Metal Blocking Microporous Polymer Separators for Energy-Dense and Long-Lived Li-ion BatteriesSBC: Sepion Technologies Topic: 12a
The advanced energy economy will be a dominant market force in the 21st century, one driven by US demand but asymmetrically low domestic supply without immediate action. This project focuses on the development and US manufacturing of a new battery membrane that enables low-cost and long-lived Li-ion batteries.STTR Phase II 2017 Department of Energy
SBC: Niowave, Inc. Topic: 16d
Next generation reactor R&D aims to produce safer, longer lasting and economically viable nuclear power plants. New designs rely on novel materials that are resistant to both corrosive environments and radiation damage. Testing these novel materials requires an intense fast neutron environment, commonly created with a nuclear reactor or a national laboratory scale accelerator such as the proposed ...STTR Phase II 2017 Department of Energy
Low-Cost Hybrid Plasmoni and Photonic "Campanile" Near-Field Probes by Nanoimprint LithographySBC: Abeam Technologies Inc. Topic: 07a
Near-field scanning optical microscopy (NSOM) is a powerful and unique approach to characterize the chemical, physical and potentially biochemical properties of materials with the nanometer scale resolution in real-time. A key element for NSOM systems that combine optical spectroscopy with scanning probe microscopy, is the actual probe itself. While many commercial vendors offer off-the-shelf meta ...STTR Phase I 2017 Department of Energy
Neutron optical device to measure mesoscopic space and time correlations and eliminate quasi-elastic scattering from SANSSBC: ADELPHI TECHNOLOGY INC Topic: 08a
A recent report by the Basic Energy Sciences Advisory Committee entitled “Challenges at the Frontiers of Matter and Energy” pointed to the need to better understand hierarchical and heterogeneous materials, often at the mesoscopic scale. Such structures can be studied by x-ray and neutron scattering techniques, but they do not generally yield narrow signals in momentum or energy space. The nat ...STTR Phase I 2017 Department of Energy