公开(公告)号：US12154007B2

公开(公告)日：2024-11-26

申请号：US16229676

申请日：2018-12-21

Applicant: NEC Laboratories America, Inc.

Inventor： Ming-Fang Huang ,  Ting Wang

IPC: G01H9/00 ,  G01M3/38 ,  G06N20/00 ,  G08G1/01 ,  H04B10/25

Abstract: A fiber-based roadside condition sensing system is provided. The system includes a fiber optic cable arranged in various roadside locations for Distributed Vibration Sensing (DVS) and Distributed Acoustic Sensing (DAS) at the various roadside locations. The system further includes a machine-learning-based analyzer for selectively providing any of an early warning and a prevention of various detected conditions responsive to a machine-learning-based analysis of results from the DVS and the DAS.

公开(公告)号：US12111189B2

公开(公告)日：2024-10-08

申请号：US17221822

申请日：2021-04-04

Applicant: NEC Laboratories America, Inc.

Inventor： Ming-Fang Huang ,  Ting Wang ,  Shaobo Han

IPC: G01D5/353 ,  G01H9/00 ,  G06V20/58 ,  G08B21/18

CPC classification number: G01D5/353 ,  G01D5/35361 ,  G01D5/35364 ,  G01H9/004 ,  G06V20/58 ,  G08B21/18

Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that advantageously identify location(s) of construction—or other activities—taking place along fiber optic cable routes that can damage the fiber optic cables.

公开(公告)号：US12047242B2

公开(公告)日：2024-07-23

申请号：US18481988

申请日：2023-10-05

Applicant: NEC Laboratories America, Inc.

Inventor： Philip Ji ,  Ting Wang ,  Zilong Ye

IPC: H04L41/0896 ,  H04L41/122

CPC classification number: H04L41/0896 ,  H04L41/122

Abstract: Described is a novel framework, we call intent-based computing jobs assignment framework, for efficiently accommodating a clients' computing job requests in a mobile edge computing infrastructure. We define the intent-based computing job assignment problem, which jointly optimizes the virtual topology design and virtual topology mapping with the objective of minimizing the total bandwidth consumption. We use the Integer Linear Programming (ILP) technique to formulate this problem, and to facilitate the optimal solution. In addition, we employ a novel and efficient heuristic algorithm, called modified Steiner tree-based (MST-based) heuristic, which coordinately determines the virtual topology design and the virtual topology mapping. Comprehensive simulations to evaluate the performance of our solutions show that the MST-based heuristic can achieve an efficient performance that is close to the optimal performance obtained by the ILP solution.

公开(公告)号：US20240235668A1

公开(公告)日：2024-07-11

申请号：US18485198

申请日：2023-10-11

Applicant: NEC Laboratories America, Inc.

Inventor： Junqiang HU ,  Yue-Kai HUANG ,  Ting Wang

IPC: H04B10/073 ,  G01H9/00

CPC classification number: H04B10/073 ,  G01H9/004

Abstract: A fast optical fiber identification system and method employing an acoustic pen that is connected to a portable device (such as a laptop, a smartphone, an iPad). The pen generates acoustic signals under the control of the portable device. The portable device interacts with a DFOS (Distributed Fiber Optic Sensor, e.g., a DAS or DVS) interrogator to notify the interrogator about the generated signals and receives a detection result from the interrogator. The result is either illustrated using a graph on the portable device, or as a tone of different volume, to indicate the strength of the pen's signal detected by the interrogator. As the pen touches/excites vibrationally/acoustically each of the fibers, the portable device notifies the user about the detected signal's strength or presence/no-presence, which allows a technician to quickly identify the fiber of interest.

公开(公告)号：US12028110B2

公开(公告)日：2024-07-02

申请号：US17713171

申请日：2022-04-04

Applicant: NEC Laboratories America, Inc.

Inventor： Philip Ji ,  Ting Wang ,  Zilong Ye

IPC: H04B10/27 ,  H04Q11/00

CPC classification number: H04B10/27 ,  H04Q11/0062 ,  H04Q2011/009

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.

公开(公告)号：US11881688B2

公开(公告)日：2024-01-23

申请号：US17717088

申请日：2022-04-10

Applicant: NEC Laboratories America, Inc.

Inventor： Yangmin Ding ,  Sarper Ozharar ,  Yuandu Xu ,  Yue Tian ,  Ting Wang

IPC: H02G1/02 ,  G01S19/01 ,  G01D5/353

CPC classification number: H02G1/02 ,  G01D5/35354 ,  G01S19/01

Abstract: Systems and methods for performing the dynamic anomaly localization of utility pole aerial/suspended/supported wires/cables by distributed fiber optic sensing. In sharp contrast to the prior art, our inventive systems and methods according to aspects of the present disclosure advantageously identify a “location region” on a utility pole supporting an affected wire/cable, thereby permitting the identification and reporting of service personnel that are uniquely responsible for responding to such anomalous condition(s).

公开(公告)号：US11754612B2

公开(公告)日：2023-09-12

申请号：US17719322

申请日：2022-04-12

Applicant: NEC Laboratories America, Inc.

Inventor： Yangmin Ding ,  Sarper Ozharar ,  Yue Tian ,  Ting Wang

IPC: G01R31/08 ,  G01H9/00

CPC classification number: G01R31/085 ,  G01H9/004

Abstract: Distributed fiber optic sensing (DFOS) systems and methods for monitoring electrical power distribution transformers and locating failing/failed/malfunctioning transformers from humming signals indicative of a transformer's operational integrity and are advantageously detected/analyzed via DFOS mechanisms.

公开(公告)号：US11742939B2

公开(公告)日：2023-08-29

申请号：US17496722

申请日：2021-10-07

Applicant: NEC Laboratories America, Inc.

Inventor： Philip Ji ,  Ting Wang ,  Zilong Ye

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 fiber failures.

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.

公开(公告)号：US11698290B2

公开(公告)日：2023-07-11

申请号：US17714091

申请日：2022-04-05

Applicant: NEC Laboratories America, Inc.

Inventor： Shaobo Han ,  Yue Tian ,  Sarper Ozharar ,  Yangmin Ding ,  Ting Wang

IPC: G01H9/00

CPC classification number: G01H9/004

Abstract: Systems and methods for operating a distributed fiber optic sensing (DFOS)/distributed acoustic sensing (DAS) system include a length of optical sensing fiber suspended aerially by a plurality of utility poles and in optical communication with a DFOS interrogator/analyzer. The method includes operating the DFOS/DAS system while manually exciting more than one of the poles to obtain frequency response(s) of the excited poles; contrastively training a convolutional neural network (CNN) with the frequency responses obtained; classifying the utility poles using the contrastively trained CNN; and generating a profile map of the excited poles indicative of the classified utility poles.