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公开(公告)号：US20240280404A1
公开(公告)日：2024-08-22
申请号：US18571377
申请日：2021-06-28
Applicant: NEC Corporation
Inventor： Murtuza PETLADWALA , Tomoyuki HINO
CPC classification number: G01H9/004 , G01D5/35361
Abstract: It is difficult to find corresponding between a point on an optical fiber and a point on a monitoring target, therefore, a monitoring system comprises an acquisition means for acquiring a plurality of amplitudes of vibrations for points on an optical fiber based on light propagating the optical fiber attached to a monitoring target, a generation means for generating a vibration mode of the monitoring target based on the plurality of amplitudes and a detection means for detecting a point on the monitoring target corresponding a point on the optical fiber based on the vibration mode.
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公开(公告)号：US20210406341A1
公开(公告)日：2021-12-30
申请号：US17295520
申请日：2018-11-26
Applicant: NEC Corporation
Inventor： Murtuza PETLADWALA , Ryota SUZUKI
IPC: G06F17/16
Abstract: An unsupervised disaggregation method includes estimating, from an observation matrix X, by using a latent feature model approach, a binary matrix Z and a latent feature matrix W; calculating a dot product of the matrix W and a D dimensional vector x; repeating, for each row of the matrix W, checking that the dot product value for the row of the matrix W with the vector x is negative to discard the row from the matrix W and a corresponding column from the binary matrix Z; if any discarded row present in the matrix W, updating the matrices W and Z using new matrix Wnew and Znew including respectively un-discarded rows of the matrix W, and un-discarded columns of the matrix Z to iterate from the estimation of the matrices W and Z from the matrix X, until no row discarded in the matrix W.
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公开(公告)号：US20250140109A1
公开(公告)日：2025-05-01
申请号：US18722656
申请日：2021-12-27
Applicant: NEC Corporation
Inventor： Daisuke IKEFUJI , Tomoyuki HINO , Hemant Shivsagar PRASAD , Murtuza PETLADWALA
Abstract: Provided is a signal analysis apparatus capable of appropriately detecting an event. A signal analysis apparatus includes an estimation unit and an event detection unit. The estimation unit estimates a speed of a vehicle traveling on a road at each of times at each of positions on the road using a signal obtained by measuring the road. The event detection unit detects an event occurring on the road based on at least one of a corrected speed obtained by performing a smoothing process on an estimated speed and an inaccuracy degree indicating a degree of inaccuracy of the estimated speed.
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公开(公告)号：US20210373543A1
公开(公告)日：2021-12-02
申请号：US17263734
申请日：2018-08-03
Applicant: NEC Corporation
Inventor： Murtuza PETLADWALA , Shingo TAKAHASHI , Shigeru KOUMOTO
Abstract: Provided an apparatus configured to calculate a periodicity of the time series data using at least one of a periodogram of the time series data and an autocorrelation of the time series data; generate a plurality of subsequences from the time series data, a length of each subsequence set to the periodicity, calculate feature values of the plurality of subsequences, and categorize the plurality of subsequences, based on the features values thereof, into one or more groups; and execute analysis of the time series data, based on the categorization result.
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公开(公告)号：US20210097417A1
公开(公告)日：2021-04-01
申请号：US16635282
申请日：2017-08-03
Applicant: NEC Corporation
Inventor： Murtuza PETLADWALA , Ryota SUZUKI , Shigeru KOUMOTO
Abstract: Provided an apparatus that receives time series data from a data storage unit storing time series of sample data or feature values calculated from the sample data, computes a measure indicating change and repetition characteristics of the time series data, based on sample value distribution thereof, selects a state model structure to be used for model learning and estimation, from state models including a fully connected state model and a one way direction state model, based on the measure and stores the selected state model in a model storage unit.
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Patent Agency Ranking
公开(公告)号：US20220283015A1
公开(公告)日：2022-09-08
申请号：US17637604
申请日：2019-11-20
Applicant: NEC CORPORATION
Inventor： Shohei KINOSHITA , Murtuza PETLADWALA , Shigeru KASAI , Eisuke SANEYOSHI
Abstract: A vehicle weight estimation apparatus 10 includes: a collecting unit 11 that collects vibration information indicating vibration output from a sensor 25 installed to a structure having a vibration-generating structure that generates vibration upon passage of a vehicle 30; an axle response extracting unit 12 that detects, by using the vibration information, axle responses indicating the passage of one or more axles of the vehicle 30 over the vibration-generating structure; an axle index calculating unit 13 that calculates axle indices corresponding to the individual axles based on the axle responses; a converting unit 14 that converts the axle indices into axle weights by referring to conversion information that is stored in advance and that indicates a relationship between axle indices and axle weights; and a vehicle weight calculating unit 15 that calculates the weight of the vehicle by totaling the axle weights of the individual axles.
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公开(公告)号：US20210374031A1
公开(公告)日：2021-12-02
申请号：US17263728
申请日：2018-08-03
Applicant: NEC Corporation
Inventor： Murtuza PETLADWALA , Shingo TAKAHASHI , Shigeru KOUMOTO
Abstract: Provided an apparatus configured to calculate a periodicity of time series data, generate a plurality of subsequences, from the time series data, a length of each subsequence set to the periodicity, calculate feature values of the plurality of subsequences; categorize the plurality of subsequences, based on the feature values thereof, into one or more groups, find a periodicity of the subsequences belonging in common to one group, based on an occurrence order of the subsequences belonging in common to the one group and perform missing event detection by identifying the subsequence, occurrence of which is expected according to the periodicity of the subsequences belonging in common to the one group, but not found.
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公开(公告)号：US20210293861A1
公开(公告)日：2021-09-23
申请号：US17262518
申请日：2018-07-23
Applicant: NEC Corporation
Inventor： Shingo TAKAHASHI , Shigeru KOUMOTO , Ryota SUZUKI , Murtuza PETLADWALA
Abstract: Provided a method including applying a Fourier Transform to an AC current waveform measured to perform conversion thereof to a frequency domain; adjusting entire phase components of frequency spectra obtained as a result of the Fourier Transform, such that a phase component of an AC power supply frequency becomes zero; and applying an inverse Fourier Transform to the frequency spectra with the entire phase components thereof adjusted to obtain a current waveform in a time domain.
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公开(公告)号：US20250166500A1
公开(公告)日：2025-05-22
申请号：US18832673
申请日：2022-03-29
Applicant: NEC Corporation
Inventor： Murtuza PETLADWALA , Sakiko MISHIMA , Takakiro KUMURA
Abstract: An object of the present disclosure is to provide a sensing system, a sensing method and a non-transitory computer readable medium capable of localizing. A sensing system includes at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: obtain time-distance information of an oscillation signal for each distributed sensing portion, while the oscillation signal is acquired by the plurality of distributed sensing portions for sensing a monitoring target and is induced by traffic of a moving object, estimate frequency densities of the oscillation signal sensed by the sensing portions based on the time-distance information, estimate degree of similarity between pair of the sensing portions based on the frequency densities, and localize a section of the monitoring target based on the degree of similarity.
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公开(公告)号：US20230184621A1
公开(公告)日：2023-06-15
申请号：US17802636
申请日：2020-03-12
Applicant: NEC Corporation
Inventor： Murtuza PETLADWALA , Shohei KINOSHITA , Shigeru KASAI , Reishi KONDO
CPC classification number: G01M5/0008 , G08G1/0116 , G08G1/0129 , G08G1/015 , G08G1/065 , G06F17/14
Abstract: Provided an apparatus including: a signal acquisition part that acquires an oscillation signal from a sensor that detects an oscillation induced in a target object; and an estimation part that obtains a feature value for each frame of the oscillation signal by applying Fourier transform to each frame extracted by a window of a predetermined length to calculate the feature value for the each frame in a frequency domain, and performs Gaussian mixture model-clustering on a time series of the feature values for respective frames to estimate one or more clusters, each of which is modeled with a Gaussian probability distribution best fit to the time series, and detect one or more events by detecting one or more corresponding clusters, a probability density value thereof greater than a predetermined threshold value.
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