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公开(公告)号:US20190207770A1
公开(公告)日:2019-07-04
申请号:US15857154
申请日:2017-12-28
Applicant: Industrial Technology Research Institute
Inventor: Jiazheng ZHOU , Shih-Fang CHANG , Ya-Wen LEE , Shih-Chang CHEN
CPC classification number: H04L9/3247 , G06F21/6209 , G06Q50/18 , H04L9/0637
Abstract: Methods for access control of contract data in a distributed system are provided. The distributed system includes a contract generator, a validation server, a database and a distributed ledger which are in communication via a network, the method including the steps of: at the contract generator, receiving digital contract data from a first electronic device, determining a permission setting for accessing contract content associated with the digital contract data based on the digital contract data, and setting the permission setting to the validation server via the network, obtaining a validation link corresponding to the digital contract data from the validation server, generating contract information for digital contract data according to partial content of the digital contract data and the validation link, and storing the contract information in the distributed ledger.
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公开(公告)号:US20230203680A1
公开(公告)日:2023-06-29
申请号:US17840200
申请日:2022-06-14
Applicant: Industrial Technology Research Institute
Inventor: Wen-Hsuan CHAO , Kuo-Hsin LIN , Hsiao-Chun HUANG , Shih-Chang CHEN , Han-Jung LI , Li-Duan TSAI
IPC: C25B11/077 , C25B1/04
CPC classification number: C25B11/077 , C25B1/04
Abstract: An anode catalyst material has a chemical formula of FeaNibMcNdOe, wherein M is Mo, W, Sn, Si, Nb, V, Cr, Ta or a combination thereof. a+b+c+d+e=1, a>0, b>0, c>0, d≥0, and e≥0. The anode catalyst material can be used in a water electrolysis device for hydrogen evolution, which includes an anode and a cathode disposed in an alkaline aqueous solution, and the anode includes the described anode catalyst material.
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公开(公告)号:US20220179691A1
公开(公告)日:2022-06-09
申请号:US17217846
申请日:2021-03-30
Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
Inventor: Shih-Chang CHEN , Yi-Chin CHU , Yi-Fang LU
Abstract: A resource allocation method comprises using resources with a used resource quantity of a machine learning system to execute a first experiment which has a first minimum resource demand, receiving an experiment request associated with a target dataset, deciding a second experiment according to the target dataset, deciding a second minimum resource demand of the second experiment, allocating resources with a quantity equal to the second minimum resource demand for an execution of the second experiment when a total resource quantity of the machine learning system meets a sum of the first minimum resource demand and the second minimum resource demand and a difference between the total resource quantity and the used resource quantity meets the second minimum resource demand, determining that the machine learning system has an idle resource, and selectively allocating said the idle resource for at least one of the first experiment and the second experiment.
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