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公开(公告)号：US20220261510A1
公开(公告)日：2022-08-18
申请号：US17628292
申请日：2020-07-17
Applicant: SHOWA DENKO K.K.
Inventor： Shimpei TAKEMOTO , Katsuki OKUNO , Takuya MINAMI , Naoto AONUMA , Eriko TAKEDA , Yoshishige OKUNO
Abstract: A material design system includes an expert terminal capable of using a model learning interface for performing machine learning of a model that inputs and outputs a correspondence between a design condition and a material property value of the material to be designed, and a plurality of general-purpose terminals configured to use a material design interface for estimating the material property value based on the design condition or estimating the design condition based on the material property value, by using a learned model that is created by the expert terminal and is for the material to be designed.
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公开(公告)号：US20240136026A1
公开(公告)日：2024-04-25
申请号：US18548405
申请日：2022-03-14
Applicant: SHOWA DENKO K.K.
Inventor： Shimpei TAKEMOTO , Yoshishige OKUNO , Takeshi KANESHITA
Abstract: Model setting step sets a trained model acquired by machine learning of a correspondence relationship between an explanatory variable including information related to a material composition or a manufacturing condition of a target material, and an objective variable including information related to the material characteristics of the target material, and prediction step inputs an explanatory variable related to a target material whose material characteristics is to be predicted to the trained model set in the model setting step, and outputs an objective variable related to information of the explanatory variable, so as to predict the material characteristics of the target material to be predicted based on the objective variable. The explanatory variable includes a material characteristics evaluation temperature that is a temperature at a time of measurement of the material characteristics included in the objective variable, and an evaluation temperature holding time that is a time during which the material characteristics evaluation temperature is held until the measurement of the material characteristics.
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Patent Agency Ranking
公开(公告)号：US20220019581A1
公开(公告)日：2022-01-20
申请号：US17310439
申请日：2020-02-10
Applicant: SHOWA DENKO K.K.
Inventor： Takuya MINAMI , Yu KAWAHARA , Shimpei TAKEMOTO , Eriko TAKEDA , Yoshishige OKUNO
IPC: G06F16/2458 , G06K9/00 , G06F16/93
Abstract: A document retrieval apparatus includes an input reception unit configured to receive an input of a keyword, a document acquisition unit configured to acquire an author's name and a document file from a digital document database which stores document files of text data obtained by performing a character recognition process with respect to document image data of handwritten documents, and names of authors who wrote the handwritten documents, a keyword acquisition unit configured to reference an associating keyword database which stores information associating the authors' names, keywords, and associating keywords, and acquire an associating keyword of the input keyword, from the input keyword received by the input reception unit and the author's name acquired by the document acquisition unit, a document search unit configured to search the document file acquired by the document acquisition unit, using the input keyword and the acquired associating keyword, and a search result output unit configured to output a search result of the document search unit.
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4.发明公开公开(公告)号：US20240232659A1
公开(公告)日：2024-07-11
申请号：US18558467
申请日：2022-04-14
Applicant: SHOWA DENKO K.K.
Inventor： Kohsuke KAKUDA , Takahiro FUJIMORI , Haein LEE , Shimpei TAKEMOTO , Takuya MINAMI , Yoshishige OKUNO
IPC: G06N5/022
CPC classification number: G06N5/022
Abstract: Prediction accuracy is increased in a prediction device using a trained model. A prediction device includes: a first trained model and a second trained model configured to respectively output first output data and second output data in response to input of input data of a prediction target; and an output portion configured to obtain the first output data and the second output data and calculate a weighted average value or take a weighted majority, thereby outputting prediction data. The first trained model is configured such that prediction accuracy for the input data of an interpolation region becomes higher than in the second trained model. The second trained model is configured such that prediction accuracy for the input data of an extrapolation region becomes higher than in the first trained model.
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公开(公告)号：US20220292229A1
公开(公告)日：2022-09-15
申请号：US17753402
申请日：2020-09-01
Applicant: SHOWA DENKO K.K.
Inventor： Naoto AONUMA , Shimpei TAKEMOTO , Eriko TAKEDA , Yoshishige OKUNO , Hiroki KURAMOTO , Yasuaki KAWAGUCHI
Abstract: A material design apparatus is provided that can derive an optimal solution of a design condition of a polymer that satisfies desired and required physical properties. A material design apparatus 1 includes a blend proportion range input unit 11 configured to set a specified range of a design condition of a polymer, a comprehensive analysis point generation unit 12 configured to generate multiple comprehensive analysis points within the specified range input in the blend proportion range input unit 11, a comprehensive analysis point-polymer physical property value storage unit 14 configured to input the comprehensive analysis point generated in the comprehensive analysis point generation unit 12 into a learned model 13 to calculate a physical property value of a polymer and to store a data set in which the physical property value of the polymer and each point of the comprehensive analysis point are linked, a required physical property input unit 21 configured to set a specified range of a required physical property of a polymer material to be designed, and a filter unit 22 configured to select a comprehensive analysis point that satisfies the required physical property input in the required physical property input unit 21 from the data set stored in the comprehensive analysis point-polymer physical property value storage unit 14.
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公开(公告)号：US20220019906A1
公开(公告)日：2022-01-20
申请号：US17292493
申请日：2019-11-22
Applicant: SHOWA DENKO K.K.
Inventor： Katsuki OKUNO , Yoshishige OKUNO , Shimpei TAKEMOTO , Takuya MINAMI , Masamichi KITANO
Abstract: Technical knowledge which is difficult for the expert to express in words or numerical form is predicted and reproduced. A technical knowledge prediction apparatus according to one embodiment of the present invention includes a problem setting unit configured to automatically create and set a problem which includes a control factor of a manufacturing step, and a variable of the control factor, an answer acquiring unit configured to acquire an answer with respect to the problem and indicating a decision of the manufacturing step, a query acquiring unit configured to acquire a query, and a prediction output unit configured to predict and output an answer corresponding to the query acquired by the query acquiring unit, based on a corresponding relationship between the problem and the answer.
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公开(公告)号：US20210397769A1
公开(公告)日：2021-12-23
申请号：US17289277
申请日：2019-10-30
Applicant: SHOWA DENKO K.K.
Inventor： Katsuki OKUNO , Takuya MINAMI , Shimpei TAKEMOTO , Eriko TAKEDA , Yoshishige OKUNO , Masamichi KITANO
Abstract: A material design device derives the optimal solution for a design condition satisfying a desired material property. A design condition setting unit for setting a specified range of a design condition of a material to be designed. A comprehensive prediction point generation unit generates a plurality of comprehensive prediction points within the specified range set by the design condition setting unit. A design condition-material property table stores data sets in which each point of the comprehensive prediction points is associated with a material property value calculated by inputting the comprehensive prediction points generated by the comprehensive prediction point generation unit, to a learned model. A required property setting unit sets a specified range of a required property of the material. A design condition extraction unit extracts, from the design condition-material property table, a data set satisfying the required property set by the required property setting unit.
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