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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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公开(公告)号:US20220391759A1
公开(公告)日:2022-12-08
申请号:US17756002
申请日:2020-11-12
Applicant: SHOWA DENKO K.K.
Inventor: Yoshishige OKUNO , Eriko TAKEDA , Junichi SHIBUYA , Yuki NAKAO , Kenji OGAWA
IPC: G06N20/00
Abstract: The present invention is designed to improve the accuracy of machine learning. The present invention provides: a first classification unit configured to classify data into classifiable data and initially-unclassifiable data based on a first learning model; a first annotation unit configured to annotate the classifiable data with a label; a second classification unit configured to classify the initially-unclassifiable data based on a second learning model; a label acquiring unit configured to acquire a label with which the initially-unclassifiable data is to be annotated; a second annotation unit configured to annotate the initially-unclassifiable data with a label; and a second learning model updating unit configured to update the second learning model based on the initially-unclassifiable data that is annotated with the label based on a result of classification by the second classification unit and the label acquired by the label acquiring unit.
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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:US20220327675A1
公开(公告)日:2022-10-13
申请号:US17595608
申请日:2020-04-24
Applicant: SHOWA DENKO K.K.
Inventor: Yoshishige OKUNO , Eriko TAKEDA , Junichi SHIBUYA , Yuki NAKAO , Kenji OGAWA
Abstract: To improve a determination accuracy when determining each particle contained in an image of an object. An image analysis apparatus according to an embodiment of the present invention includes: a shape determination unit configured to determine a shape of a particle included in a particle image that is extracted from an image of an object, so that an OK particle image which is a particle image of an OK particle that satisfies a predetermined standard for shape and a provisional NG particle image which is a particle image of a provisional NG particle that does not satisfy the predetermined standard, are obtained; a pseudo image generation unit configured to generate a pseudo image; and a similarity determination unit configured to determine whether the provisional NG image and the pseudo image are similar.
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公开(公告)号:US20230334252A1
公开(公告)日:2023-10-19
申请号:US17757375
申请日:2020-12-17
Applicant: SHOWA DENKO K.K.
Inventor: Chinatsu TANABE , Hiroko TAKASHI , Nao TAKEUCHI , Eriko TAKEDA , Kenichiro NAKAJIMA , Tomoko MIYASHITA
IPC: G06F40/30 , G06Q50/18 , G06F40/106 , G06F40/279 , G06F40/109
CPC classification number: G06F40/30 , G06Q50/184 , G06F40/106 , G06F40/279 , G06F40/109
Abstract: An information processing device includes an analyzing unit configured to analyze text data representing claims included in patent document data to identify constituent components of an invention for each claim included in the claims, and a display control unit configured to cause a display device to display texts indicating each claim in the claims, in a form in which the texts indicating each claim are partitioned into the constituent components.
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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: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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公开(公告)号:US20210374189A1
公开(公告)日:2021-12-02
申请号:US17282036
申请日:2019-09-26
Applicant: SHOWA DENKO K.K.
Inventor: Yoshishige OKUNO , Takuya MINAMI , Eriko TAKEDA , Hajime HOTTA
IPC: G06F16/903 , G06F16/93 , G06F16/58 , G06F16/907
Abstract: A document search device includes a document search unit configured to search for an input keyword in a document database in which document information including text data is stored, the text data being extracted, by using a character recognition process, from document image data generated by imaging a paper document, a similar keyword selecting unit configured to select a similar keyword in accordance with a degree of similarity to the input keyword, from a group of wildcard strings generated from the input keyword, and cause the document search unit to search for the similar keyword in the document database, and an output unit configured to output a search result obtained by searching for the input keyword in the document database and a search result obtained by searching for the similar keyword in the document database.
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