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1.发明申请
公开(公告)号：WO2022216872A1
公开(公告)日：2022-10-13
申请号：PCT/US2022/023733
申请日：2022-04-06
Applicant: NEC LABORATORIES AMERICA, INC.
Inventor： HAN, Shaobo , TIAN, Yue , OZHAHAR, Sarper , DING, Yangmin , WANG, Ting
IPC: G01H9/00 , G01D5/353 , G01S5/16 , G02B6/44 , G02B6/48 , G06N3/04 , G06N3/08 , H04B10/27 , G02B6/12
Abstract: A testing procedure including a data collection procedure and a contrastive learning-based approach, for establishing a profile for utility poles surveyed in an embedding space. Unique properties of utility poles are preserved in a low-dimensional feature vector. Similarities between pairs of samples collected at the same or different poles is reflected by the Euclidean distance between the pole embeddings. During data collection - variabilities of excitation signals are manually introduced, e.g. impact strength, impact locations, impact time ambiguity, data collecting location ambiguity on a DFOS/DAS optical sensor fiber/cable. Data so collected provides a learned model learned complete information about a utility pole and is more robust with respect to uncontrollable factors during operation..
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公开(公告)号：WO2022140487A1
公开(公告)日：2022-06-30
申请号：PCT/US2021/064755
申请日：2021-12-21
Applicant: NEC LABORATORIES AMERICA, INC.
Inventor： HAN, Shaobo , HUANG, Ming-Fang , COSATTO, Eric
Abstract: Aspects of the present disclosure describe an unsupervised context encoder-based fiber sensing method that detects anomalous vibrations proximate to a sensor fiber that is part of a distributed fiber optic sensing system (DFOS) such that damage to the sensor fiber by activities producing and anomalous vibrations are preventable. Advantageously, our method requires only normal data streams and a machine learning based operation is utilized to analyze the sensing data and report abnormal events related to construction or other fiber-threatening activities in real-time. Our machine learning algorithm is based on waterfall image inpainting by context encoder and is self-trained in an end-to-end manner and extended every time the DFOS sensor fiber is optically connected to a new route. Accordingly, our inventive method and system it is much easier to deploy as compared to supervised methods of the prior art
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公开(公告)号：WO2022140485A1
公开(公告)日：2022-06-30
申请号：PCT/US2021/064753
申请日：2021-12-21
Applicant: NEC LABORATORIES AMERICA, INC.
Inventor： SALEMI, Milad , HAN, Shaobo , HUANG, Ming-Fang , CHEN, Yuheng
Abstract: Distributed fiber optic sensing (DFOS) systems, methods and structures for determining the proximity of vibration sources located perpendicular to a sensor fiber that is part of the DFOS system that may potentially threaten / damage or otherwise compromise the sensor fiber itself. Systems, methods, and structures according to aspects of the present disclosure employ Artificial Intelligence (AI) methodology(ies) that use as input a fundamental physical understanding of wave propagation and attenuation in the ground along with Bayesian inference and Maximum Likelihood Estimation (MLE) techniques for estimating / determining the proximity of potentially damaging vibration sources to the optical sensor fiber.
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公开(公告)号：WO2023091450A1
公开(公告)日：2023-05-25
申请号：PCT/US2022/050049
申请日：2022-11-16
Applicant: NEC LABORATORIES AMERICA, INC.
Inventor： HUANG, Ming-Fang , JI, Philip , HAN, Shaobo , WANG, Ting
Abstract: Systems, methods, and structures for efficiently identifying individual fibers located in a deployed cable that advantageously reduces laborious field efforts while reducing service outage time. The systems and methods locate a targeted fiber in a cable ("Cable ID") and then identify the targeted fiber ("Fiber ID") by detecting DFOS signal attentions – without cutting the optical fiber. Two distinct determinations may be made namely, Cable ID and Fiber ID. DFOS operation detects vibration signals occurring along a sensor fiber. As implemented, Cable ID is an interactive-machine learning-based algorithm that automatically locates cable position along a sensor fiber route. Fiber ID detects a signal attenuation by bending a group of fibers with bifurcation to pinpoint a targeted individual fiber within a fiber cable.
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公开(公告)号：WO2023081249A1
公开(公告)日：2023-05-11
申请号：PCT/US2022/048763
申请日：2022-11-03
Applicant: NEC LABORATORIES AMERICA, INC.
Inventor： HAN, Shaobo , HUANG, Ming-Fang , CHEN, Yuheng , WANG, Ting , ZHONG, Sheng
Abstract: A method for underground cable localization by fast time series template matching and distributed fiber optic sensing (DFOS) includes: providing the DFOS system including a length of optical sensor fiber; a DFOS interrogator in optical communication with the optical sensor fiber, said DFOS interrogator configured to generate optical pulses, introduce the generated pulses into the length of optical sensor fiber, and receive backscattered signals from the length of the optical sensor fiber; and an intelligent analyzer configured to analyze DFOS data received by the DFOS interrogator and determine from the backscattered signals, vibrational activity occurring at locations along the length of the optical sensor fiber; deploying a programmable vibration generator to a field location proximate to the length of optical sensor fiber; transmitting to the programmable vibration generator a unique vibration pattern to be generated by the vibration generator; and operating the programmable vibration generator to generate the unique vibration pattern transmitted; and operating the DFOS system and collecting / analyzing the determined vibrational activity to further determine vibrational activity indicative of the unique vibration pattern generated by the vibration generator.
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Patent Agency Ranking6.发明申请
公开(公告)号：WO2022217122A1
公开(公告)日：2022-10-13
申请号：PCT/US2022/024118
申请日：2022-04-08
Applicant: NEC LABORATORIES AMERICA, INC.
Inventor： HAN, Shaobo , MIN, Renqiang , LI, Tingfeng
Abstract: A reinforcement learning based approach to the problem of query object localization, where an agent is trained to localize objects of interest specified by a small exemplary set. We learn a transferable reward signal formulated using the exemplary set by ordinal metric learning. It enables test-time policy adaptation to new environments where the reward signals are not readily available, and thus outperforms fine-tuning approaches that are limited to annotated images. In addition, the transferable reward allows repurposing of the trained agent for new tasks, such as annotation refinement, or selective localization from multiple common objects across a set of images. Experiments on corrupted MNIST dataset and CU-Birds dataset demonstrate the effectiveness of our approach.
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公开(公告)号：WO2023004084A1
公开(公告)日：2023-01-26
申请号：PCT/US2022/037941
申请日：2022-07-21
Applicant: NEC LABORATORIES AMERICA, INC.
Inventor： HUANG, Ming-Fang , HAN, Shaobo , CHEN, Yuheng , SALEMI, Milad , WANG, Ting
Abstract: Systems, and methods for automatically identifying an underground optical fiber cable length from DFOS systems in real time and pair it with GPS coordinates that advantageously eliminate the need for in-field inspection / work by service personnel to make such real-time distance / location determinations. As such, inefficient, error-prone and labor-intensive prior art methods are rendered obsolete. Operationally, our method disclosure involves driving vehicles including GPS to generate traffic patterns and automatically mapping traffic trajectory signals from a deployed buried fiber optic cable to locate geographic location(s) of the buried fiber optic cable. Traffic patterns are automatically recognized; slack in the fiber optic cable is accounted for; location of traffic lights and other traffic control devices/structures may be determined; and turns in the fiber optic cable may likewise be determined.
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8.发明申请
公开(公告)号：WO2022216998A1
公开(公告)日：2022-10-13
申请号：PCT/US2022/023928
申请日：2022-04-07
Applicant: NEC LABORATORIES AMERICA, INC.
Inventor： TIAN, Yue , OZHAHAR, Sarper , DING, Yangmin , HAN, Shaobo , WANG, Ting
Abstract: A system and method to assess utility pole integrity, by using existing telecom fiber optic cable as a sensor cable, instant mechanical impact on the pole(s), DAS technology and a machine learning model. An instant mechanical impact creates a vibration event on the optical fiber cable mounted/suspended on a target pole, which is detected/recorded by DAS. By applying a machine learning model on the DAS signals, the target poles integrity condition is obtained.
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公开(公告)号：WO2022170143A1
公开(公告)日：2022-08-11
申请号：PCT/US2022/015376
申请日：2022-02-04
Applicant: NEC LABORATORIES AMERICA, INC.
Inventor： HAN, Shaobo
Abstract: A multilinear domain-specific domain generalization (MDSDG) approach that utilizes information stored in multilinear indices of data domains to improve machine learning. In particular - based on limited sample size(s) in observed scenarios - an array of models is jointly trained, which advantageously are generalized to a new, unseen scenario, where only domain descriptions in the form of multilinear indices are available.
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10.发明申请
公开(公告)号：WO2022155401A1
公开(公告)日：2022-07-21
申请号：PCT/US2022/012411
申请日：2022-01-14
Applicant: NEC LABORATORIES AMERICA, INC.
Inventor： HAN, Shaobo , HUANG, Ming-Fang , JI, Philip , CHEN, Yuheng , SALEMI, Milad
Abstract: Aspects of the present disclosure describe DFOS systems, methods, and structures that advantageously extract road traffic from DFOS vibration patterns such that anomaly detection is possible. Sensed vibration data is represented accurately as a set of points, where each point is denoted as a tuple with elements indicating a time stamp, a location along a length of a DFOS optical sensing cable, and vibration strength detected at the location at the time. Traffic pattern detection is based on a progressive probabilistic Hough transform (PPHT) that exploits global information from an entire spatial-temporal data snapshot to assess a cause of detected vibrations
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