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公开(公告)号：US20230375377A1
公开(公告)日：2023-11-23
申请号：US18319475
申请日：2023-05-17
Applicant: NEC Laboratories America, Inc.
Inventor： Philip JI
CPC classification number: G01D5/35358 , G01H9/004 , G01M11/3109
Abstract: Computer vision based, wide-area snow/water level estimation methods using disparity maps. In one embodiment our method provides rich depth-information using a stereo camera and image processing. Scene images at normal and snow/rain weather conditions are obtained by a double-lens stereo camera and a disparity map is generated from the scene images at left and right lenses using a self-supervised deep convolutional network. In another embodiment, our method uses a single point snow/water level sensor, a stationary monocular camera to measure snow/water levels covering a wide area.
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公开(公告)号：US20230179297A1
公开(公告)日：2023-06-08
申请号：US18075374
申请日：2022-12-05
Applicant: NEC Laboratories America, Inc.
IPC: H04B10/032
CPC classification number: H04B10/032
Abstract: Aspects of the present disclosure describe distributed fiber optic sensor systems, methods, and structures that advantageously enable/provide for the proper placement/assignment of sensors in the DFOS network to provide for high reliability, fault tolerant operation that survives multiple fiber failures.
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公开(公告)号：US20230130788A1
公开(公告)日：2023-04-27
申请号：US17958415
申请日：2022-10-02
Applicant: NEC Laboratories America, Inc.
Inventor： Sarper OZHARAR , Ting WANG , Yue TIAN , Yangmin DING , Philip JI , Shaobo Han , Ming-Fang Huang , Tingfeng Li
IPC: G01H9/00 , G01D5/353 , H04B10/071
Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that advantageously sense/monitor outdoor facilities and structures including outdoor cabinets containing fiber optic facilities in which the cabinet/fiber optic cable contained therein are configured to provide superior acoustic sensing. Further outdoor facilities and structures that are monitored include manhole structures. Superior DFOS/DAS monitoring results are obtained by employing a machine learning-based analysis method that employs a temporal relation network (TRN).
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公开(公告)号：US20220057254A1
公开(公告)日：2022-02-24
申请号：US17406022
申请日：2021-08-18
Applicant: NEC Laboratories America, Inc.
Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that employ a distributed fiber optic sensor placement procedure that advantageously provides a desirable sensor coverage over a network at minimal cost.
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公开(公告)号：US20210356776A1
公开(公告)日：2021-11-18
申请号：US17316621
申请日：2021-05-10
Applicant: NEC Laboratories America, Inc.
Inventor： Ezra IP , Yue-Kai HUANG , Philip JI , Shuji MURAKAMI
Abstract: Aspects of the present disclosure describe improved distributed acoustic sensing using dynamic range suppression of optical time domain reflectometry either by using a feedback loop comprising optical and electrical elements or using a nonlinear element in the electrical domain after coherent detection. When using a feedback loop, the amplitude of the periodic waveform of coherent OTDR can be inverted. This allows optical pre-compensation of the received optical signal before coherent detection with the goal of minimizing amplitude dynamic range. Alternatively, a nonlinear element in the electrical domain can reduce amplitude dynamic range before sampling by analog-to-digital converters (ADC).
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Patent Agency Ranking
公开(公告)号：US20230358907A1
公开(公告)日：2023-11-09
申请号：US18311874
申请日：2023-05-03
Applicant: NEC Laboratories America, Inc.
Inventor： Philip JI , Christopher WHITE , Ting WANG
CPC classification number: G01V1/226 , G01V1/001 , G01V1/168 , G01V2210/1425
Abstract: A flexible, rapid deployable perimeter monitoring system and method that employs distributed fiber optic sensing (DFOS) technologies and includes a deployment/operations field vehicle including an interrogator and analyzer/processor. The deployment/operations field vehicle is configured to field deploy a ruggedized fiber optic sensor cable in an arrangement that meets a specific application need, and subsequently interrogate/sense via DFOS any environmental conditions affecting the deployed fiber optic sensor cable. Such sensed conditions include mechanical vibration, acoustic, and temperature that may be advantageously sensed/evaluated/analyzed in the deployment/operations vehicle and subsequently communicated to a central location for further evaluation and/or coordination with other monitoring systems. Upon completion, the field vehicle and DFOS reconfigure a current location or redeployed to another location.
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公开(公告)号：US20220321219A1
公开(公告)日：2022-10-06
申请号：US17713171
申请日：2022-04-04
Applicant: NEC Laboratories America, Inc.
Abstract: A procedure to solve the DFOS placement problem that uses a genetic algorithm to achieve a global optimization of sensor placement. First, our procedure according to aspects of the present disclosure defines a fitness function that counts the number of DFOS sensors used. Second, the procedure uses a valid DFOS placement assignment to model an individual in the genetic algorithm. Each individual consists of N genes, where N is the number of nodes in the given network infrastructure, e.g., N=|V|. Each gene has two genomes: (1) a list of 0s and/or 1s, in which is represent the network nodes that are equipped with DFOS sensors, and 0s represent the nodes that are not equipped with DFOS sensors; (2) a list of sensing fiber routes. An individual that has smallest number of is in their genes will be considered as the strongest individual. Thirdly, the procedure randomly generates a population of individuals. After a certain number of generations of population, the strongest individual in the last generation will be the global optima for the DFOS placement assignment.
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公开(公告)号：US20220263579A1
公开(公告)日：2022-08-18
申请号：US17580572
申请日：2022-01-20
Applicant: NEC Laboratories America, Inc.
IPC: H04B10/272
Abstract: Aspects of the present disclosure describe a method of placement of sensors for DFOS systems, methods, and structures that advantageously employ concurrent sensing. In sharp contrast to the prior art, our inventive method—a heuristic method based on the Explore-and-Pick (EnP) algorithm, which we call a modified EnP (mEnP) method—includes two procedures. The first procedure of our mEnP method explores all possible sensing fiber routes (both linear and star-like routes) for each node in the given network. The second procedure applies a modified greedy algorithm for minimum set cover to select the minimum set of DFOS assignment to fully cover all the links in the given network.
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公开(公告)号：US20220149932A1
公开(公告)日：2022-05-12
申请号：US17496722
申请日：2021-10-07
Applicant: NEC Laboratories America, Inc.
IPC: H04B10/032
Abstract: Aspects of the present disclosure describe distributed fiber optic sensor systems, methods, and structures that advantageously enable/provide for the proper placement/assignment of sensors in the DFOS network to provide for high reliability, fault tolerant operation that survives fiber failures.
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公开(公告)号：US20200119830A1
公开(公告)日：2020-04-16
申请号：US16655103
申请日：2019-10-16
Applicant: NEC Laboratories America, Inc.
Inventor： Giovanni MILIONE , Philip JI , Eric COSATTO
Abstract: Aspects of the present disclosure describe systems, methods and structures for classification of higher-order spatial modes using machine learning systems and methods in which the classification of high-order spatial modes emitted from a multimode optical fiber does not require indirect measurement of the complex amplitude of a light beam's electric field using interferometry or, holographic techniques via unconventional optical devices/elements, which have prohibitive cost and efficacy; classification of high-order spatial modes emitted from a multimode optical fiber is not dependent on a light beam's alignment, size, wave front (e.g. curvature, etc.), polarization, or wavelength, which has prohibitive cost and efficacy; classification of higher-order spatial modes from a multimode optical fiber does not require a prohibitive amount of experimentally generated training examples, which, in turn, has prohibitive efficacy; and the light beam from a multimode optical fiber can be advantageously separated into two orthogonal polarization components, such that, the different linear combination of higher order spatial modes comprising each polarization component can be classified.
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