公开(公告)号：US20220366035A1

公开(公告)日：2022-11-17

申请号：US17619314

申请日：2019-06-26

Applicant: NEC Corporation

Inventor： Yoshiaki SAKAE ,  Kazuhiko ISOYAMA ,  Takashi KONASHI ,  Jun NISHIOKA

IPC: G06F21/53

Abstract: An execution control system (2000) determines whether to permit execution of a target application (30). The determination includes first determination and second determination. The second determination is performed when the first determination cannot determine whether to permit the execution of the target application (30). The execution control system (2000) executes the target application (30) in a protected environment after the first determination is finished and while the second determination is performed.

公开(公告)号：US20220334908A1

公开(公告)日：2022-10-20

申请号：US17632317

申请日：2019-08-09

Applicant: NEC Corporation

Inventor： Takashi KONASHI

IPC: G06F11/07

Abstract: An abnormality detection apparatus (2000) detects a start of a predetermined operation in a terminal (10). The abnormality detection apparatus (2000) acquires reference information (30) representing a reference of abnormality detection of the terminal (10) after the predetermined operation is started. After it is detected that the predetermined operation is started, the abnormality detection apparatus (2000) detects abnormality of the terminal (10) by using the acquired reference information (30).

公开(公告)号：US20220318277A1

公开(公告)日：2022-10-06

申请号：US17635568

申请日：2019-08-22

Applicant: NEC Corporation

Inventor： Takashi KONASHI ,  Satoru YAMANO ,  Shohei MITANI

IPC: G06F16/28 ,  G06F16/22 ,  G07C5/08

Abstract: An information processing device according to an aspect of the present disclosure includes: at least one memory; and at least one processor configured to execute instructions to: acquire a plurality of parameters indicating a state of a device; and extract a combination including two or more parameters from the plurality of parameters based on a dependency relationship between two parameters among the plurality of parameters.

公开(公告)号：US20220284107A1

公开(公告)日：2022-09-08

申请号：US17632361

申请日：2019-08-07

Applicant: NEC Corporation

Inventor： Jun NISHIOKA ,  Yoshiaki SAKAE ,  Kazuhiko ISOYAMA ,  Takashi KONASHI

IPC: G06F21/57 ,  G06F21/31 ,  G06F21/78

Abstract: A policy evaluation apparatus (2000) acquires, with respect to each of a plurality of control groups (10) including an evaluation target group, control policies (20). Each of the control policy (20) indicates execution permission/non-permission of an application. Further, the policy evaluation apparatus (2000) compares an evaluation target policy being the control policy (20) of the evaluation target group with other plurality of control policies (20), and generates evaluation information (30) based on the comparison result.

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

IPC: B23K9/095 ,  B23K31/12

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.

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.

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.

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.

公开(公告)号：US20230123186A1

公开(公告)日：2023-04-20

申请号：US17795942

申请日：2020-01-31

Applicant: NEC Corporation

Inventor： Takashi KONASHI

IPC: G08G1/04 ,  G08G1/017

Abstract: A vehicle monitoring system according to the present disclosure includes: an optical fiber for sensing (10) laid on a road (40); a vehicle passage detection unit (30) configured to detect that a vehicle (50) has passed a predetermined location on the road (40); an identification unit (202) configured to identify the vehicle (50) that has passed the predetermined location as a vehicle-to-be-monitored; and a reception unit (201) configured to receive sound information unique to the vehicle-to-be-monitored detected by the optical fiber for sensing (10), in which the identification unit (202) identifies the vehicle-to-be-monitored based on the sound information unique to the vehicle-to-be-monitored.

公开(公告)号：US20220279003A1

公开(公告)日：2022-09-01

申请号：US17631748

申请日：2019-08-09

Applicant: NEC Corporation

Inventor： Satoru YAMANO ,  Takashi KONASHI ,  Shohei MITANI

IPC: H04L9/40

Abstract: An anomaly detection apparatus 1 includes a period specification unit 2 that, at the time of learning, classifies learning packets by type, and, with use of a packet interval calculated for every packet type and a frequency indicating an incidence rate of the packet interval, specifies a period of the packet type, and a feature extraction unit 3 that extracts, based on the period, a sequence feature amount having sequence information indicating the order of the packet types and information indicating the time distribution between packets in the sequence information.