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公开(公告)号：US20220309397A1
公开(公告)日：2022-09-29
申请号：US17618045
申请日：2019-06-19
Applicant: NEC Corporation
Inventor： So YAMADA , Riki ETO , Junko WATANABE , Hiromi SHIMIZU , Hidetaka HANE , Shigeo KIMURA , Wataru FUJII , Tomoyuki KAWABE
Abstract: To mitigate degradation in the accuracy of a prediction model by re-learning the prediction model with consideration given to the characteristics of a detection value of a sensor.
This prediction model re-learning device comprises: a calculation unit that, on the basis of data related to smell detection by a sensor, calculates an index for determining whether or not to re-learn a prediction model for smell; and a re-learning unit that re-learns the prediction model in cases where the calculated index satisfies a predetermined condition.-
公开(公告)号：US20210018479A1
公开(公告)日：2021-01-21
申请号：US16969621
申请日：2019-02-22
Applicant: NEC CORPORATION
Inventor： Junko WATANABE , Riki ETO , Hidetaka HANE , Shigeo KIMURA , Shintarou TSUCHIYA
Abstract: An odor detection apparatus 100 includes a first odor sensor 10 provided with a sensitive membrane, a second odor sensor 20 provided with an identical sensitive membrane, and a control device 30. The control device 30 includes a sensor data acquisition unit 31 that acquires first sensor data output by the first odor sensor 10 and second sensor data output by the second odor sensor, a calculation processing unit 32 that calculates a difference between the first sensor data and the second sensor data, and a determination unit 33 that determines, when the sensitive membrane of one of the odor sensors is in a steady state, whether the sensitive membrane of the other odor sensor is in a steady state, based on the difference.
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3.发明申请公开(公告)号：US20200322435A1
公开(公告)日：2020-10-08
申请号：US16753403
申请日：2018-10-02
Applicant: NEC CORPORATION
Inventor： Junko WATANABE , Riki ETO , Hidetaka HANE , Shigeo KIMURA , Shintarou TSUCHIYA
IPC: H04L29/08 , G01N33/00 , G01N33/497
Abstract: A server apparatus 10 is communicably connected to a terminal apparatus 20 that collects sensor data from an odor sensor 40. The server apparatus 10 includes an analyzer holding unit 11 that holds a plurality of analyzers for analyzing specific odor analysis targets, based on sensor data, an analyzer management unit 12 that selects an analyzer, determines preprocessing to be performed on the sensor data, according to the selected analyzer, and causes the terminal apparatus 20 to execute the preprocessing, an analysis execution unit 13 that executes analysis processing of the designated odor analysis target, by applying the selected analyzer to the preprocessed sensor data from the terminal apparatus, and an analysis result transmission unit 14 that transmits information indicating a result of the analysis processing to the terminal apparatus 20.
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4.发明申请公开(公告)号：US20200300798A1
公开(公告)日：2020-09-24
申请号：US16753284
申请日：2018-10-02
Applicant: NEC CORPORATION
Inventor： Junko WATANABE , Riki ETO , Hidetaka HANE , Shigeo KIMURA , Shintarou TSUCHIYA
Abstract: A server apparatus 10 is communicably connected to a terminal apparatus 20 that collects sensor data from an odor sensor 40. The server apparatus 10 includes an analyzer holding unit 11 that holds a plurality of analyzers for analyzing specific odor analysis targets, based on sensor data, an analyzer management unit 12 that determines preprocessing to be performed on the sensor data, by selecting an analyzer according to the environment of the odor sensor 40, and causes the terminal apparatus 20 to execute the preprocessing, an analysis execution unit 13 that executes analysis processing of the designated odor analysis target, by applying the selected analyzer to the preprocessed sensor data, and an analysis result transmission unit 14 that transmits information indicating a result of the analysis processing to the terminal apparatus 20.
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Patent Agency Ranking
公开(公告)号：US20230110600A1
公开(公告)日：2023-04-13
申请号：US17908968
申请日：2020-03-17
Applicant: NEC Corporation
Inventor： So YAMADA , Junko WATANABE , Riki ETO , Hiromi SHIMIZU , Noriyuki TONOUCHI
IPC: G01N33/00
Abstract: In a noise removing apparatus, a data acquisition unit acquires sets of odor data measured using a sensor with respect to a plurality of objects, each set of odor data representing features of an odor of an object by respective rates of a plurality of odor molecules. A noise component extraction unit extract a noise component using a set of odor data. A noise removing unit removes the noise component from each set of odor data to be processed.
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公开(公告)号：US20210342856A1
公开(公告)日：2021-11-04
申请号：US16762023
申请日：2018-11-06
Applicant: NEC CORPORATION
Inventor： Junko WATANABE , Hiromi YAMAGUCHI , Shinji NAKADAI
IPC: G06Q30/00 , G06Q30/02 , H04N7/18 , G06F16/2455
Abstract: A customer service assistance apparatus 10 is provided with a video image acquisition unit 11 that acquires a video image of the inside of a store, a specifying unit 12 that specifies a product that a customer in the store is interested in and attributes of the customer based on the acquired video image, an information acquisition unit 13 that acquires information indicating need of the product for the customer, based on the specified product and attributes, and a transmission unit 14 that transmits the acquired content to a terminal apparatus that is used by a store salesperson of the store.
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7.发明申请公开(公告)号：US20200336543A1
公开(公告)日：2020-10-22
申请号：US16753279
申请日：2018-10-02
Applicant: NEC CORPORATION
Inventor： Junko WATANABE , Riki ETO , Hidetaka HANE , Shigeo KIMURA , Shintarou TSUCHIYA
Abstract: A terminal apparatus 20 includes a sensor data collection unit 21 that collects sensor data from an odor sensor 40 that outputs the sensor data in reaction to a plurality of types of odors, an analyzer acquisition unit 22 that, in the case where an analyzer capable of analyzing a designated odor analysis target is transmitted thereto from a server apparatus 10 that holds a plurality of analyzers for analyzing odor analysis targets by analyzing the sensor data, acquires the analyzer transmitted thereto, an analysis execution unit 23 that executes analysis processing of the designated odor analysis target, by applying the acquired analyzer to the collected sensor data, and an analysis result holding unit 24 that holds information indicating a result of the analysis processing.
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8.发明申请公开(公告)号：US20220343184A1
公开(公告)日：2022-10-27
申请号：US17640474
申请日：2019-09-18
Applicant: NEC Corporation
Inventor： So YAMADA , Riki ETO , Junko WATANABE , Ryota SUZUKI , Hiromi SHIMIZU
Abstract: A learning apparatus acquires learning data in which odor data of each object and a label representing the object in a label space expressing features of odors are associated with each other, and learns, based on odor data, a model for predicting a label of the odor data in the label space, by using the learning data. In a data processing apparatus for processing odor data, an acquisition unit acquires odor data from an outside. A prediction unit predicts a label of the acquired odor data in the label space by using the model in which a relationship between sets of odor data and labels in the label space expressing the features of the odors is learned.
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公开(公告)号：US20220172843A1
公开(公告)日：2022-06-02
申请号：US17601857
申请日：2020-04-03
Applicant: NEC CORPORATION , Masao MIYASHITA
Inventor： So YAMADA , Riki ETO , Junko WATANABE , Masao MIYASHITA , Marina GOTO
Abstract: A selection unit (11) in a learning device (10) inputs a plurality of “learning candidate data units.” The plurality of learning candidate data units are respectively related to a plurality of subjects including a plurality of cancer patients and a plurality of non-cancer patients. Further, each learning candidate data unit at least includes a “urine odor data unit” and a “cancer label.” Then, from the plurality of input learning candidate data units, the selection unit (11) selects part of the plurality of learning candidate data units as a “learning target data set,” based on a “selection rule.” By using the learning target data set selected by the selection unit (11), a determination model formation unit (12) forms a “determination model” for determining which of urine of a cancer patient and urine of a non-cancer patient a determination target urine odor data unit is related to.
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