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biological neural networks (4) 4
neurons (4) 4
computer architecture (3) 3
field programmable gate arrays (3) 3
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building (2) 2
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IEEE Journal of Solid-State Circuits, ISSN 0018-9200, 04/2018, Volume 53, Issue 4, pp. 983 - 994
A versatile reconfigurable accelerator architecture for binary/ternary deep neural networks is presented. In-memory neural network processing without any... 
near-memory processing | Memory management | Neurons | Random access memory | neural networks | Parallel processing | in-memory processing | Binary neural networks | reconfigurable array | System-on-chip | Biological neural networks | ternary neural networks | ENGINEERING, ELECTRICAL & ELECTRONIC | Neural networks | Power consumption
Journal Article
Journal of Energy Chemistry, ISSN 2095-4956, 04/2020, Volume 43, pp. 47 - 51
We report on an all-solid-state battery that employs a -type complex hydride solid electrolyte and a LiCoO cathode. Interfacial modification between the solid... 
All-solid-state batteries | Closo-type complex hydride | Solid electrolyte | High-voltage cathodes | Interfacial modification
Journal Article
Materials Transactions, ISSN 1345-9678, 10/2008, Volume 49, Issue 10, pp. 2224 - 2228
  A single phase Mg(BH4)2 was successfully synthesized and its hydrogen storage properties were systematically investigated. Depending on the synthesis... 
Borohydride | Hydrogen storage | Complex hydride | Synthesis | Dehydriding
Journal Article
Materials Transactions, ISSN 1345-9678, 04/2011, Volume 52, Issue 4, pp. 598 - 601
The structural and hydrogen/deuterium desorption properties of AlH3/AlD3 were investigated by Raman spectroscopy, high-intensity X-ray/neutron diffraction, and... 
X-ray diffraction | Hydride | Aluminum | Hydrogen | Neutron diffraction | CRYSTAL-STRUCTURE | MATERIALS SCIENCE, MULTIDISCIPLINARY | METALLURGY & METALLURGICAL ENGINEERING | ALH3 | DECOMPOSITION | hydrogen | aluminum | POLYMORPHS | hydride | KINETICS | neutron diffraction | SPECTRA | Deuterium | Hydrogen storage | X-rays | Desorption | Raman spectroscopy | Aluminum hydrides
Journal Article
2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), ISSN 1548-3746, 08/2017, Volume 2017-, pp. 116 - 119
The expanding use of deep learning algorithms causes the demands for accelerating neural network (NN) signal processing. For the NN processing, in-memory... 
Neurons | Artificial neural networks | Computer architecture | Signal processing | System-on-chip | Biological neural networks | Engines
Conference Proceeding
Nihon Ronen Igakkai zasshi. Japanese journal of geriatrics, ISSN 0300-9173, 2014, Volume 51, Issue 6, pp. 536 - 546
The aim of this study was to develop a simple staging classification to measure leisure activity and social communication among the elderly at geriatric health... 
Activities of Daily Living | Geriatric Assessment | Leisure Activities | Humans | Aged, 80 and over | Surveys and Questionnaires | Health Services for the Aged | Index Medicus
Journal Article
2017 Symposium on VLSI Circuits, 06/2017, pp. C24 - C25
A versatile reconfigurable accelerator for binary/ternary deep neural networks (DNNs) is presented. It features a massively parallel in-memory processing... 
Neurons | Random access memory | Computer architecture | Artificial neural networks | Very large scale integration | Biological neural networks | Field programmable gate arrays
Conference Proceeding
2016 International Conference on ReConFigurable Computing and FPGAs (ReConFig), 11/2016, pp. 1 - 6
Deep learning is being widely used in various applications, and diverse neural networks have been proposed. A form of neural network, such as the novel... 
Temperature measurement | Neurons | Neural networks | Computer architecture | Feature extraction | Time-domain analysis | Field programmable gate arrays
Conference Proceeding
Proceedings - 2017 5th International Symposium on Computing and Networking, CANDAR 2017, 04/2018, Volume 2018-, pp. 291 - 297
Conference Proceeding
2017 International Joint Conference on Neural Networks (IJCNN), 05/2017, pp. 2510 - 2516
The convolutional neural network (CNN) is a state-of-the-art model that can achieve significantly high accuracy in many machine-learning tasks. Recently, for... 
Bandwidth | Digital signal processing | Parallel processing | Kernel | Biological neural networks | Field programmable gate arrays
Conference Proceeding
01/2014
PROBLEM TO BE SOLVED: To provide a fine aggregate storage tank 1 allowing surface water of a fine aggregate to be discharged in a short time.SOLUTION: A fine... 
TRANSPORTING | PREPARING CLAY | WORKING CEMENT, CLAY, OR STONE | PRODUCING MIXTURES CONTAINING CLAY OR CEMENTITIOUS MATERIAL,e.g. PLASTER | PERFORMING OPERATIONS
Patent
02/2008
PROBLEM TO BE SOLVED: To provide a scaffold supporter being capable of safely conducting mounting and demounting works easily and being lightweight and having... 
FORMS | HANDLING BUILDING MATERIALS ON THE SITE | REPAIRING, BREAKING-UP OR OTHER WORK ON EXISTINGBUILDINGS | BUILDING | FIXED CONSTRUCTIONS | BUILDING IMPLEMENTS OR OTHER BUILDING AIDS, OR THEIRUSE | SHUTTERING | SCAFFOLDING
Patent
11/1995, 6
PURPOSE:To save trouble when combinations of plural functions are set suitable for the state by setting the combinations of the plural functions of the... 
ELECTRIC COMMUNICATION TECHNIQUE | WIRELESS COMMUNICATIONS NETWORKS | TELEPHONIC COMMUNICATION | ELECTRICITY
Patent
Kansenshogaku zasshi. The Journal of the Japanese Association for Infectious Diseases, ISSN 0387-5911, 1988, Volume 62, Issue 11, pp. 973 - 1001
Journal Article
Kansenshogaku zasshi. The Journal of the Japanese Association for Infectious Diseases, ISSN 0387-5911, 1988, Volume 62, Issue 12, pp. 1166 - 1191
Journal Article
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