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公开(公告)号：US20210390369A1
公开(公告)日：2021-12-16
申请号：US17407770
申请日：2021-08-20
Applicant: FUJIFILM Corporation
Inventor： Masataka HASEGAWA
Abstract: A data generation device generates a data set consisting of a plurality of pieces of learning data for training a neural network in which a plurality of layers are connected by a plurality of connection weights, the neural network outputting a production result corresponding to a process condition in a case where the process condition is input in a process for producing a product. At this time, assuming that a total number of the connection weights of the neural network is M0, a plurality of the process conditions of 2×M0 or more are set. In addition, a production result corresponding to each of the plurality of process conditions is acquired, which is derived by producing the product under each of the plurality of process conditions. The plurality of pieces of learning data consisting of the plurality of process conditions and the production result are generated as the data set.
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公开(公告)号：US20200316643A1
公开(公告)日：2020-10-08
申请号：US16906432
申请日：2020-06-19
Applicant: FUJIFILM Corporation
Inventor： Masataka HASEGAWA , Hayato KANAZAWA
Abstract: An object of the present invention is to provide a film forming method capable of forming a film by an aerosol deposition with high accuracy patterning. The object of the present invention is achieved by aerosolizing a raw material liquid including a film forming material; supplying the aerosol to a base material; and forming a film of the film forming material on the base material, in which the base material has, on a film forming surface, a liquid-repellent region which has liquid repellency to the raw material liquid and a lyophilic region which has lyophilicity to the raw material liquid, and in a case where a width of the liquid-repellent region is L and a diameter of the aerosol is D, “D>L” is satisfied.
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公开(公告)号：US20250012706A1
公开(公告)日：2025-01-09
申请号：US18895402
申请日：2024-09-25
Applicant: FUJIFILM CORPORATION
Inventor： Takashi YAMAMOTO , Takayuki NISHI , Yuka KOBAYASHI , Masataka HASEGAWA
IPC: G01N15/1434 , G01N15/01 , G01N15/10
Abstract: A flow cell includes: a main body that includes a flow passage through which fluid containing a substance from which physical property data is to be measured flows, and contains a resin; and an optical system which is disposed on a part of a wall surface forming the flow passage and condenses measurement light for the physical property data and of which an emission surface for the measurement light is in contact with the fluid flowing through the flow passage, in which at least a part of an opposite wall surface that is the wall surface facing the optical system and at least a part of a side wall surface that is the wall surface interposed between the opposite wall surface and the optical system are covered with a metal.
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公开(公告)号：US20220405654A1
公开(公告)日：2022-12-22
申请号：US17836716
申请日：2022-06-09
Applicant: FUJIFILM Corporation
Inventor： Takumi KOMIKAWA , Masataka HASEGAWA
Abstract: The information processing apparatus, the information processing method, and the program include at least one processor configured to acquire, in at least one piece of processing of the process, at least one piece of information of chemical information or physical information of an object to be processed and a processed object at two points at which elapses of processing times between before the processing and after the processing are different from each other, acquire a calculation value of a difference between numerical values at the two points that are obtained from the information, and set the difference as an explanatory variable, set the quality of the product as an objective variable, and predict the quality of the product based on the calculation value by using a trained model obtained by performing machine learning based on a known data set of the explanatory variable and the objective variable.
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5.发明公开公开(公告)号：US20230360807A1
公开(公告)日：2023-11-09
申请号：US18352213
申请日：2023-07-13
Applicant: FUJIFILM CORPORATION
Inventor： Tatsuya INABA , Masataka HASEGAWA , Hayato MIYOSHI , Kaoru MORIMURA
CPC classification number: G16H70/40 , G01N33/5061
Abstract: An information processing apparatus includes a processor. The processor acquires a plurality of unknown waveform data of which a determination result of superiority or inferiority based on similarity to an ideal waveform is unknown, performs a determination of the superiority or inferiority for each of the plurality of unknown waveform data based on a plurality of teacher waveform data to which the determination result of the superiority or inferiority is linked, and outputs the superiority or inferiority of the plurality of unknown waveform data in a comparable manner.
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Patent Agency Ranking
公开(公告)号：US20210162362A1
公开(公告)日：2021-06-03
申请号：US17168447
申请日：2021-02-05
Applicant: FUJIFILM Corporation
Inventor： Tatsuya INABA , Masataka HASEGAWA
IPC: B01J19/00
Abstract: A flow reaction support apparatus includes a computing section and a determination section. The computing section generates a prediction data set by calculating a prediction result for each reaction condition whose reaction result is unknown, using measurement data. The computing section extracts the reaction condition of the prediction result closest to a target result as an extracted reaction condition. The determination section determines whether or not a difference between the reaction result under the extracted reaction condition and the prediction result is within an allowable range, and adds, in a case where the difference is not within the allowable range, reaction information in which the extracted reaction condition and the reaction result are associated with each other to the measurement data.
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公开(公告)号：US20250020572A1
公开(公告)日：2025-01-16
申请号：US18896944
申请日：2024-09-26
Applicant: FUJIFILM CORPORATION
Inventor： Takayuki NISHI , Takashi YAMAMOTO , Masataka HASEGAWA , Yuka KOBAYASHI
IPC: G01N15/1434
Abstract: A flow cell includes a main body that includes a flow passage through which fluid containing a substance from which physical property data is to be measured flows, and an optical system which is disposed on a part of a wall surface forming the flow passage and condenses measurement light for the physical property data and of which an emission surface for the measurement light in contact with the fluid is a flat surface.
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公开(公告)号：US20220092435A1
公开(公告)日：2022-03-24
申请号：US17542869
申请日：2021-12-06
Applicant: FUJIFILM Corporation
Inventor： Masataka HASEGAWA , Naoki NAKAMURA
Abstract: There are provided a learning apparatus, an operation method of the learning apparatus, a non-transitory computer readable recording medium storing an operation program of the learning apparatus, and an operating apparatus capable of further improving accuracy of prediction of a quality of a product by a machine learning model in a case where learning is performed by inputting, as learning input data, multi-dimensional physical-property relevance data, which is derived from multi-dimensional physical-property data of the product, to the machine learning model. In the learning apparatus, a first processor is configured to extract a high-contribution item from the plurality of items of the multi-dimensional physical-property relevance data by using the temporary machine learning model; and selectively input the multi-dimensional physical-property relevance data of the high-contribution item to the machine learning model, perform learning, and output the machine learning model as a learned model to be provided for actual operation.
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公开(公告)号：US20220091589A1
公开(公告)日：2022-03-24
申请号：US17541725
申请日：2021-12-03
Applicant: FUJIFILM Corporation
Inventor： Masataka HASEGAWA
IPC: G05B19/418 , G06N20/00 , G01N21/25
Abstract: There are provided a learning apparatus, an operation method of the learning apparatus, an operation program of the learning apparatus, and an operating apparatus capable of further improving accuracy of prediction of a quality of a product by a machine learning model in a case where learning is performed by inputting, as learning input data, multi-dimensional physical-property relevance data, which is derived from multi-dimensional physical-property data of the product, to the machine learning model. In the learning apparatus, a first processor derives, as learning input data, multi-dimensional physical-property relevance data which is related to multi-dimensional physical-property data. A first processor inputs the learning input data to the machine learning model, performs learning, and outputs the machine learning model as a learned model to be provided for actual operation.
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公开(公告)号：US20220198284A1
公开(公告)日：2022-06-23
申请号：US17694984
申请日：2022-03-15
Applicant: FUJIFILM Corporation
Inventor： Tatsuya INABA , Masataka HASEGAWA
Abstract: A prediction-data-set-generation-unit generates a prediction-data-set composed of a plurality of prediction-data where an explanatory-variable for an unknown-value of a response-variable and a prediction-value of the response-variable are associated with each other by using a known-data-set. A first-actual-measurement-value-acquisition-unit acquires an actual-measurement-value of the response-variable included in the prediction-data where the prediction-value is closest to a target-value. An improvement-rate-calculation-unit calculates an improvement-rate representing a difference between a known-value of the response-variable closest to the target-value and the actual-measurement-value. A known-data-set-update-unit adds the actual-measurement-value and a value of the explanatory-variable corresponding to the actual-measurement-value to the known-data-set in a case where the improvement-rate is equal to or higher than a target improvement-rate. A second-actual-measurement-value-acquisition-unit acquires an actual-measurement-value of the response-variable for a value of the explanatory-variable included in the prediction-data, which is not used for acquiring the actual-measurement-value by the first-actual-measurement-value-acquisition-unit, in a case where the improvement-rate is lower than the target improvement-rate.
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