VEHICLE DETECTION APPARATUS, METHOD AND PROGRAM

    公开(公告)号:US20230154314A1

    公开(公告)日:2023-05-18

    申请号:US17908597

    申请日:2020-03-12

    CPC classification number: G08G1/0133 G01V1/001 G01V1/30 G01V1/325 G01V1/364

    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.

    SIGNAL ANALYSIS METHOD, AND APPARATUS FOR THREE-PHASE SYSTEM, AND PROGRAM

    公开(公告)号:US20220283209A1

    公开(公告)日:2022-09-08

    申请号:US17636424

    申请日:2019-08-29

    Abstract: The present invention provides an apparatus and method enabling to perform a 2-dimensional trajectory analysis applicable for a three-phase system. A signal analysis apparatus generates a three-row and N-column waveform matrix constituted by three N dimensional row vectors having respectively N samples of first to third phase current values obtained from three-phase current signals measured in a three-phase system, where N is the number of samples of each of the three-phase current signals in one cycle of an AC power supply; applies transformation to the waveform matrix to obtain a two-row and N-column matrix constituted by the first and second N dimensional row vectors; performs normalization in amplitude of the first and second N dimensional row vectors, respectively; selects a grid size based on the sample number N; and maps a two dimensional trajectory made up from the first and second normalized N dimensional row vectors on a grid with the grid size selected.

    ANOMALY DETECTION APPARATUS, METHOD AND COMPUTER-READABLE MEDIUM

    公开(公告)号:US20210247427A1

    公开(公告)日:2021-08-12

    申请号:US17270899

    申请日:2018-08-30

    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.

    ANOMALY DETECTION APPARATUS, METHOD, AND PROGRAM RECORDING MEDIUM

    公开(公告)号:US20210109833A1

    公开(公告)日:2021-04-15

    申请号:US16981101

    申请日:2018-03-26

    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.

    WAVEFORM DISAGGREGATION APPARATUS, METHOD AND NON-TRANSITORY MEDIUM

    公开(公告)号:US20190277894A1

    公开(公告)日:2019-09-12

    申请号:US16331193

    申请日:2017-09-11

    Abstract: A waveform disaggregation apparatus includes a storage apparatus that stores, as a model of an operation state of a unit, a first state transition model including a segment in which each state transition occurs along a one directional single path; and an estimation section that receives a composite signal waveform of a plurality of units including a first unit that operates based on the first state transition model and that at least based on the first state transition model, performs estimation of a signal waveform of the first unit from the composite signal waveform to separate the signal waveform therefrom.

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