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1.
公开(公告)号:US20240265300A1
公开(公告)日:2024-08-08
申请号:US18290190
申请日:2021-05-18
Applicant: NEC Corporation
Inventor: Yuji KOBAYASHI , Yoshiaki SAKAE , Takashi KONASHI , Hiroki TAGATO , Jun NISHIOKA , Jun KODAMA , Etsuko ICHIHARA
IPC: G06N20/00
CPC classification number: G06N20/00
Abstract: In a model optimization device for a parameter estimation concerning optical communications, A model acquisition acquires a trained model. A data acquisition means acquires data from a terminal device. A model update means performs a model update of the trained model step by step to generate an updated model based on the data. A model output means outputs to an output destination device corresponding to the terminal device.
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公开(公告)号:US20240281712A1
公开(公告)日:2024-08-22
申请号:US18566795
申请日:2021-06-07
Applicant: NEC Corporation
Inventor: Yuji KOBAYASHI , Yoshiaki SAKAE , Hiroki TAGATO , Takashi KONASHI , Jun NISHIOKA , Jun KODAMA , Etsuko ICHIHARA
IPC: G06N20/00
CPC classification number: G06N20/00
Abstract: A learning device 100 according to this invention includes: a classification unit 121 configured to classify measurement value data measuring performance of an object on the basis of situation data each representing a situation of the object when the measurement value data are measured; a selection unit 122 configured to select the measurement value data from each of the classifications according to the number of the measurement value data for each of the classifications; and a learning unit 123 configured to perform machine learning on the basis of the selected measurement value data.
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公开(公告)号:US20250096889A1
公开(公告)日:2025-03-20
申请号:US18727379
申请日:2022-01-26
Applicant: NEC Corporation
Inventor: Jun KODAMA , Yoshiaki SAKAE , Hiroki TAGATO , Takashi KONASHI , Jun NISHIOKA , Yuji KOBAYASHI , Etsuko ICHIHARA
IPC: H04B10/077 , H04L45/02
Abstract: A communication route setting device 100 of the present invention includes an optical signal acquisition unit 121 that acquires an optical signal on a transmission path in a network in which optical communication devices are connected to each other via an optical transmission path, a condition determination unit 122 that determines a physical condition of at least one object of the optical transmission path and the optical communication devices on the basis of the optical signal, and a route setting unit 123 that sets a communication route for transmitting the optical signal on the network on the basis of the determined physical condition.
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公开(公告)号:US20240281679A1
公开(公告)日:2024-08-22
申请号:US18568348
申请日:2021-06-15
Applicant: NEC Corporation
Inventor: Etsuko ICHIHARA , Yoshiaki SAKAE , Hiroki TAGATO , Takashi KONASHI , Jun NISHIOKA , Yuji KOBAYASHI , Jun KODAMA
Abstract: In order to attain the object of providing a technique that allows a process of constructing a model to be presented in an easily understandable manner, a model generation assistance apparatus includes: an acquisition section that acquires trial information including a parameter used in a trial in a process of constructing an AI model; an inference section that infers association between a plurality of trials on the basis of a difference between respective pieces of trial information of the plurality of trials; and an output section that outputs display data including (i) a plurality of nodes respectively representing the plurality of trials and (ii) a link representing the association.
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5.
公开(公告)号:US20240267282A1
公开(公告)日:2024-08-08
申请号:US18564194
申请日:2021-05-31
Applicant: NEC Corporation
Inventor: Jun NISHIOKA , Yoshiaki SAKAE , Hiroki TAGATO , Takashi KONASHI , Yuji KOBAYASHI , Etsuko ICHIHARA , Jun KODAMA
IPC: H04L41/0659 , H04L9/40
CPC classification number: H04L41/0661 , H04L63/0227
Abstract: An information processing apparatus (10) includes acquisition means (11) for acquiring information indicating a defect of a first relay apparatus (20), and control means (12) for changing at least one of a setting of the first relay apparatus regarding communication and a setting of a second relay apparatus (20) regarding communication based on the information acquired by the acquisition means, the second relay apparatus being configured to communicate with the first relay apparatus.
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公开(公告)号:US20250050442A1
公开(公告)日:2025-02-13
申请号:US18715789
申请日:2021-12-07
Applicant: NEC Corporation
Inventor: Hiroki TAGATO , Yoshiaki SAKAE , Takashi KONASHI , Jun NISHIOKA , Yuji KOBAYASHI , Jun KODAMA , Etsuko ICHIHARA
Abstract: In order to attain an object of providing a technique to, upon detection of an abnormality in a welded part, provide notification of a factor of the detected abnormality, an abnormality diagnosis apparatus includes: an acquisition means (21) for acquiring time series data containing at least one of an electric current value and a voltage value at first welding; an abnormality determination means (22) for determining, with use of an abnormality determination model and based on the time series data acquired by the acquisition means, whether or not there is an abnormality in a welded part at the first welding; and an output means (23) for, if the abnormality determination means has determined that there is an abnormality, outputting the determination result and at least one of a factor of the abnormality and a remedial method for solving the abnormality.
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公开(公告)号:US20240168965A1
公开(公告)日:2024-05-23
申请号:US18283942
申请日:2021-04-02
Applicant: NEC Corporation
Inventor: Yoshiaki SAKAE , Hiroki TAGATO , Takashi KONASHI , Jun NISHIOKA , Yuji KOBAYASHI , Jun KODAMA , Etsuko ICHIHARA
IPC: G06F16/248 , G06F11/34
CPC classification number: G06F16/248 , G06F11/34
Abstract: The present invention reduces the load on a user when performing remote machine diagnosis. An acquisition unit (11) acquires time-series data obtained from equipment of the machine, a prediction unit (12) predicts the state of the machine on the basis of the time-series data, a search unit (13) uses the time-series data as a query to search a knowledge database, storing records of past diagnoses, for knowledge information related to the state of the machine, and a provision unit (14) provides the prediction result and the knowledge information.
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公开(公告)号:US20240039640A1
公开(公告)日:2024-02-01
申请号:US18225942
申请日:2023-07-25
Applicant: NEC Corporation
Inventor: Jun KODAMA , Yoshiaki SAKAE , Yuji KOBAYASHI , Etsuko ICHIHARA , Jun NISHIOKA , Takashi KONASHI , Hiroki TAGATO
IPC: H04B10/61 , H04B10/556
CPC classification number: H04B10/6165 , H04B10/5561
Abstract: At least one processor included in an optical signal state estimation apparatus carries out: an acquisition process for acquiring a constellation of an optical signal; a generation process for generating time series data in which pieces of histogram information are arranged in time series, the histogram information being obtained by counting the number of signal points of the constellation, the signal points being included in each of grids obtained by dividing an in-phase component direction and a quadrature component direction into a specific number of rows and the specific number of columns, respectively; and an estimation process for estimating a state of the optical signal by inputting the time series data to a learned model.
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9.
公开(公告)号:US20230421458A1
公开(公告)日:2023-12-28
申请号:US18213753
申请日:2023-06-23
Applicant: NEC Corporation
Inventor: Yoshiaki SAKAE , Hiroki TAGATO , Takashi KONASHI , Jun NISHIOKA , Masanao NATSUMEDA , Yuji KOBAYASHI , Jun KODAMA , Etsuko ICHIHARA
IPC: H04L41/16 , H04L41/0631 , G06N3/088 , G06N3/09
CPC classification number: H04L41/16 , H04L41/0631 , G06N3/088 , G06N3/09
Abstract: To extract data-for-machine-leaning so as to enable accurate detection of an abnormality while reducing normal state patterns in a mobile network. A learning data extracting apparatus includes: an issuing section that issues a network service use request which is to be processed by cooperation of a plurality of communication apparatuses constituting C-plane; an obtaining section that obtains, as pieces of candidate learning data, time series data of information relating to the plurality of communication apparatuses; and an extracting section that extracts, as data-for-machine-leaning, a piece of candidate learning data with which the process in response to the network service use request has been successfully ended, from among the pieces of candidate learning data.
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