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公开(公告)号：US11586703B2
公开(公告)日：2023-02-21
申请号：US16965742
申请日：2018-02-08
Applicant: NEC Corporation
Inventor： Ryota Suzuki , Shingo Takahashi , Murtuza Petladwala , Shigeru Koumoto
Abstract: A feature transformation apparatus includes at least a combination storage part that stores a combination with respect to a set of features, wherein data is approximately represented as a sum of the combination of the features; and a transformation part that transforms at least the combination so as not to change the sum of the combination of the set of features.
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公开(公告)号：US12019433B2
公开(公告)日：2024-06-25
申请号：US17263734
申请日：2018-08-03
Applicant: NEC Corporation
Inventor： Murtuza Petladwala , Shingo Takahashi , Shigeru Koumoto
CPC classification number: G05B23/0221 , G06N20/00
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：US11360129B2
公开(公告)日：2022-06-14
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：US11200134B2
公开(公告)日：2021-12-14
申请号：US16981101
申请日：2018-03-26
Applicant: NEC CORPORATION
Inventor： Murtuza Petladwala , Ryota Suzuki , Shigeru Koumoto
Abstract: An anomaly detection apparatus estimates time series data of a first signal of each appliance by disaggregating an aggregate signal that is a sum of first signals of a plurality of appliances into each first signal of an individual appliance, calculates a residual by subtracting sum of the estimated first signals of the plurality of appliances from the aggregate signal, and obtains value of the second signal at a time point at which the residual indicates presence of anomaly, and checks if there is match of pair of value of the estimated first signal and estimated state of the appliance, with any one of the one or more pairs of value of the first signal and state of the appliance, stored in a table, in association with the value of the second signal at the time point at which the residual indicates presence of anomaly to identify appliance with anomaly.
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公开(公告)号：US12236777B2
公开(公告)日：2025-02-25
申请号：US17908597
申请日：2020-03-12
Applicant: NEC Corporation
Inventor： Murtuza Petladwala , Shohei Kinoshita , Shigeru Kasai
Abstract: An apparatus includes a signal acquisition part acquires oscillation signals from sensors provided under lanes of a bridge and close to an expansion joint, a signal separation part applies BSS to the oscillation signals to estimate source oscillation signals respectively separated in the plurality of lanes, and adjusts amplitude of the source oscillation signals to output amplitude adjusted oscillation signals, and a vehicle estimation part estimates, from the amplitude adjusted oscillation signal, a response oscillation due to a vehicle passing on the lane of interest to detect and count vehicles passing on the lane.
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Patent Agency Ranking
6.发明公开公开(公告)号：US20240355198A1
公开(公告)日：2024-10-24
申请号：US18688099
申请日：2021-09-15
Applicant: NEC Corporation
Inventor： Murtuza Petladwala , Tomoyuki Hino
CPC classification number: G08G1/0125 , G08G1/0116 , G08G1/04 , G08G1/052 , G08G1/056
Abstract: An object of the present disclosure is to provide an object presence detection system, an object presence detection method and a non-transitory computer readable medium capable of detecting the presence of an object more accurately. In one aspect, an object presence detection system includes at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: obtain time-distance graph information of an oscillation signal for each distributed sensing portion, while the oscillation signal is acquired by the plurality of distributed sensing portions and is induced by traffic of a moving object, detect impulse response using the time-distance graph information measured by the plurality of distributed sensing portions, and detect a presence of the moving object, which includes moving direction information of the moving object, using the impulse response information in the time-distance graph information.
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公开(公告)号：US11755448B2
公开(公告)日：2023-09-12
申请号：US17263728
申请日：2021-01-27
Applicant: NEC Corporation
Inventor： Murtuza Petladwala , Shingo Takahashi , Shigeru Koumoto
IPC: G06F11/34 , G06F11/30 , G06F18/214
CPC classification number: G06F11/3419 , G06F11/3006 , G06F11/3447 , G06F11/3452 , G06F18/214 , G06F2201/86
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：US11635454B2
公开(公告)日：2023-04-25
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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公开(公告)号：US20250060211A1
公开(公告)日：2025-02-20
申请号：US18725228
申请日：2022-01-13
Applicant: NEC Corporation
Inventor： Sakiko Mishima , Takahiro Kumura , Murtuza Petladwala
IPC: G01B11/02
Abstract: A displacement estimation apparatus includes: a first displacement estimation unit estimates first displacement that occurred in a structure, based on change of a signal from an optical fiber cable laid in the structure; and a second displacement estimation unit that estimates bias included in the estimated first displacement, and calculating second displacement by removing the bias from the first displacement.
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公开(公告)号：US12044714B2
公开(公告)日：2024-07-23
申请号：US17270899
申请日：2018-08-30
Applicant: NEC Corporation
Inventor： Murtuza Petladwala , Mitsuru Sendoda , Yuko Ohta , Ryota Suzuki
CPC classification number: G01R23/10 , G01R23/145 , G01R23/18
Abstract: Provided a method comprising: obtaining waveform data sets of a periodic electric waveform signal, with a length set to one cycle time; calculating a frequency spectrum for each waveform data set; extracting and separating odd and even frequency harmonics to create odd and even frequency harmonic matrices on which a canonical correlation analysis (CCA) being applied to obtain CCA features; performing linear transformation on the CCA features to obtain linear transformed features; generating a model based on the linear transformed features; performing magnitude quantization of frequency spectrums of waveform data sets to identify normal and anomalous waveform signals.
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