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公开(公告)号:US12256002B2
公开(公告)日:2025-03-18
申请号:US17589863
申请日:2022-01-31
Applicant: NEC Laboratories America, Inc.
Inventor: Qiang Wang , Junqiang Hu , Jian Fang , Yaowen Li , Ting Wang
Abstract: Physimetric-based data security for coded distributed temperature sensing (DTS) in which physimetric information is extracted from a coded-DTS interrogator which is unique for each interrogator at each operating run time—and used to reconstruct a final temperature determination from DTS data. The physimetric information includes coded-DTS pulse code and coded-DTS pulse profile information as a key to permit secure sharing with authorized users. The pulse code and pulse profile information are encrypted and made available to an authorized user. The authorized user can then decrypt the pulse code and pulse profile information and subsequently use this key information (pulse profile and pulse code files) to retrieve temperature information from for example, a remote computer providing a continuous raw data feed—without being susceptible to eavesdropping. The pulse profile and pulse code files permit reconstruction of temperature from DTS continuous raw data feed which have no meaningful informational value to an eavesdropper who has no access to the unencrypted pulse profile and pulse code information.
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公开(公告)号:US12072244B2
公开(公告)日:2024-08-27
申请号:US17321464
申请日:2021-05-16
Applicant: NEC Laboratories America, Inc.
IPC: G01K11/32 , G01D5/353 , G01K11/322 , G01K11/324
CPC classification number: G01K11/322 , G01D5/35383 , G01K11/324
Abstract: Aspects of the present disclosure describe systems, methods, and structures for distributed temperature sensing that employ joint wavelet denoising to achieve desirable signal-to-noise ratio(s) over extended sensor fiber distances.
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公开(公告)号:US10739228B2
公开(公告)日:2020-08-11
申请号:US16258588
申请日:2019-01-26
Applicant: NEC Laboratories America, Inc.
Abstract: Aspects of the present disclosure describe a multilayer coding method for physical value measurements in which a multi-pulse pattern is generated through several layers, each of which is encoded with a different cyclic codeword. The total coding gain is the product of the gains of each layer advantageously allowing a long cyclic codeword to be replaced by combining several short cyclic codewords. Of particular advantage, methods according to the present disclosure provide better signal-to-noise characteristics, longer sensing distances and lower computational complexity particularly suitable for high-performance and cost-effective distributed optical fiber sensing (DOFS).
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公开(公告)号:US12289132B2
公开(公告)日:2025-04-29
申请号:US18319457
申请日:2023-05-17
Applicant: NEC Laboratories America, Inc.
Inventor: Christopher White , Jian Fang , Sarper Ozharar , Ting Wang
IPC: H04B10/071 , H04B10/2575 , H04B11/00
Abstract: A method for time synchronization using distributed fiber optic sensing (DFOS) that employs several trusted time beacons that are attached to the DFOS sensing fiber which in turn is connected to the DFOS interrogator. The beacons transmit their signal via two different mediums, (1) wirelessly to sensor nodes in the coverage area, and (2) through vibrations on fiber to the DFOS/DAS system located at a trusted area such as the central office. Wireless broadcast to nearby sensors includes a timestamp and beacon ID. All the sensors in the field use one of the beacons in their vicinity (the one with the strongest signal) as their time reference and send the data back with the corresponding beacon index.
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公开(公告)号:US20210374468A1
公开(公告)日:2021-12-02
申请号:US17330832
申请日:2021-05-26
Applicant: NEC Laboratories America, Inc.
Inventor: Manmohan Chandraker , Ting Wang , Xiang Xu , Francesco Pittaluga , Gaurav Sharma , Yi-Hsuan Tsai , Masoud Faraki , Yuheng Chen , Yue Tian , Ming-Fang Huang , Jian Fang
Abstract: Methods and systems for training a neural network include generate an image of a mask. A copy of an image is generated from an original set of training data. The copy is altered to add the image of a mask to a face detected within the copy. An augmented set of training data is generated that includes the original set of training data and the altered copy. A neural network model is trained to recognize masked faces using the augmented set of training data.
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公开(公告)号:US20190234832A1
公开(公告)日:2019-08-01
申请号:US16258588
申请日:2019-01-26
Applicant: NEC Laboratories America, Inc.
Abstract: Aspects of the present disclosure describe a multilayer coding method for physical value measurements in which a multi-pulse pattern is generated through several layers, each of which is encoded with a different cyclic codeword. The total coding gain is the product of the gains of each layer advantageously allowing a long cyclic codeword to be replaced by combining several short cyclic codewords. Of particular advantage, methods according to the present disclosure provide better signal-to-noise characteristics, longer sensing distances and lower computational complexity particularly suitable for high-performance and cost-effective distributed optical fiber sensing (DOFS).
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公开(公告)号:US20250146863A1
公开(公告)日:2025-05-08
申请号:US18930454
申请日:2024-10-29
Applicant: NEC Laboratories America, Inc.
Inventor: Jian Fang , Wataru Kohno , Ting Wang
IPC: G01H9/00
Abstract: Methods and systems for acoustic sensing include determining sensing locations along a fiber to generate a beam pattern that is directed to an acoustic source. An optical pulse is transmitted on the fiber. Optical phase of backscattering light is measured from the sensing locations on the fiber. An output signal is generated by combining the measured optical phase according to the beam pattern.
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公开(公告)号:US11710346B2
公开(公告)日:2023-07-25
申请号:US17330832
申请日:2021-05-26
Applicant: NEC Laboratories America, Inc.
Inventor: Manmohan Chandraker , Ting Wang , Xiang Xu , Francesco Pittaluga , Gaurav Sharma , Yi-Hsuan Tsai , Masoud Faraki , Yuheng Chen , Yue Tian , Ming-Fang Huang , Jian Fang
IPC: G06V40/16 , G06T3/00 , G06V10/774
CPC classification number: G06V40/172 , G06T3/0006 , G06V10/774 , G06V40/171
Abstract: Methods and systems for training a neural network include generate an image of a mask. A copy of an image is generated from an original set of training data. The copy is altered to add the image of a mask to a face detected within the copy. An augmented set of training data is generated that includes the original set of training data and the altered copy. A neural network model is trained to recognize masked faces using the augmented set of training data.
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