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71.
公开(公告)号:US11562646B2
公开(公告)日:2023-01-24
申请号:US17221836
申请日:2021-04-04
Applicant: NEC Laboratories America, Inc.
Inventor: Yuheng Chen , Ming-Fang Huang , Ting Wang , Jingnan Zhao
Abstract: An advance in the art is made according to aspects of the present disclosure directed to distributed fiber optic sensing systems (DFOS), methods, and structures that advantageously monitor and identify—in real-time—roadway traffic and patterns across a multiple-lane highway by employing a multiple-transverse fiber optic cable arrangement of optical fiber cable positioned under the highway/roadway to detect, monitor, and/or identify traffic.
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公开(公告)号:US11543561B2
公开(公告)日:2023-01-03
申请号:US16665307
申请日:2019-10-28
Applicant: NEC Laboratories America, Inc.
Inventor: Masanao Natsumeda , Haifeng Chen
Abstract: Methods and systems for preventing spacecraft damage include identifying a space weather event that corresponds to a spacecraft system failure. A spacecraft system is determined that causes the spacecraft system failure, triggered by the space weather event. A corrective action is performed on the determined spacecraft system to prevent spacecraft system failures from being triggered by future space weather events.
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公开(公告)号:US11538143B2
公开(公告)日:2022-12-27
申请号:US16662659
申请日:2019-10-24
Applicant: NEC Laboratories America, Inc.
Inventor: Dongjin Song , Yuncong Chen , Haifeng Chen , Xinyang Feng
Abstract: Systems and methods for detecting anomaly in video data are provided. The system includes a generator that receives past video frames and extracts spatio-temporal features of the past video frames and generates frames. The generator includes fully convolutional transformer based generative adversarial networks (FCT-GANs). The system includes an image discriminator that discriminates generated frames and real frames. The system also includes a video discriminator that discriminates generated video and real video. The generator trains a fully convolutional transformer network (FCTN) model and determines an anomaly score of at least one test video based on a prediction residual map from the FCTN model.
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公开(公告)号:US11520981B2
公开(公告)日:2022-12-06
申请号:US16787774
申请日:2020-02-11
Applicant: NEC Laboratories America, Inc.
Inventor: Jianwu Xu , Haifeng Chen , Bin Nie
Abstract: A method detects anomalies in a system having sensors for collecting multivariate sensor data including discrete event sequences. The method determines, using a NMT model, pairwise relationships among the sensors based on the data. The method forms sequences of characters into sentences on a per sensor basis, by treating each discrete variable in the sequences as a character in natural language. The method translates, using the NMT, the sentences of source sensors to sentences of target sensors to obtain a translation score that quantifies a pairwise relationship strength therebetween. The method aggregates the pairwise relationships into a multivariate relationship graph having nodes representing sensors and edges denoted by the translation score for a sensor pair connected thereto to represent the pairwise relationship strength therebetween. The method performs a corrective action to correct an anomaly responsive to a detection of the anomaly relating to the sensor pair.
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公开(公告)号:US20220383108A1
公开(公告)日:2022-12-01
申请号:US17728071
申请日:2022-04-25
Applicant: NEC Laboratories America, Inc.
Inventor: Wei Cheng , Dongkuan Xu , Haifeng Chen
IPC: G06N3/08
Abstract: A method for performing contrastive learning for graph tasks and datasets by employing an information-aware graph contrastive learning framework is presented. The method includes obtaining two semantically similar views of a graph coupled with a label for training by employing a view augmentation component, feeding the two semantically similar views into respective encoder networks to extract latent representations preserving both structure and attribute information in the two views, optimizing a contrastive loss based on a contrastive mode by maximizing feature consistency between the latent representations, training a neural network with the optimized contrastive loss, and predicting a new graph label or a new node label in the graph.
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公开(公告)号:US20220374259A1
公开(公告)日:2022-11-24
申请号:US17730499
申请日:2022-04-27
Applicant: NEC Laboratories America, Inc.
Inventor: Kunal Rao , Murugan Sankaradas , Srimat Chakradhar
IPC: G06F9/48
Abstract: A method for specifying and executing an application including multiple microservices on 5G slices within a multi-tiered 5G infrastructure is presented. The method includes managing compute requirements and network requirements of the application simultaneously by determining end-to-end application characteristics by employing an application slice specification including an application ID component, an application name component, an application metadata component, a function dependencies component, a function instances component, and an instance connections component, specifying a function slice specification including a function network slice specification and a function compute slice specification, and employing a runtime component including a resource manager, an application slice controller, and an application slice monitor, wherein the resource manager maintains a database and manages starting, stopping, updating, and deleting application instances.
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公开(公告)号:US20220333956A1
公开(公告)日:2022-10-20
申请号:US17720245
申请日:2022-04-13
Applicant: NEC Laboratories America, Inc.
Inventor: Shaobo HAN , Ming-Fang HUANG , Yuheng CHEN , Philip JI , Ting WANG
Abstract: Distributed fiber optic sensing (DFOS) systems and methods that automatically detect vibration signal patterns from waterfall data recorded by DFOS system operations in real- time and associate the detected vibration signal patterns to GPS location coordinates without human intervention or interpretation. When embodied as a computer vision-based operation according to aspects of the present disclosure, our inventive systems and method provide accurate, cost-efficient, and objective determination without relying on humans and their resulting bias' and inconsistencies.
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公开(公告)号:US20220329068A1
公开(公告)日:2022-10-13
申请号:US17717112
申请日:2022-04-10
Applicant: NEC Laboratories America, Inc.
Inventor: Yangmin DING , Yuanda XU , Yue TIAN , Sarper OZHARAR , Ting WANG
Abstract: Distributed fiber optic sensing (DFOS) and artificial intelligence (AI) systems and methods for performing utility pole hazardous event localization that advantageously identify a utility pole that has undergone a hazardous event such as being struck by an automobile or other detectable impact. Systems and methods according to aspects of the present disclosure employ machine learning methodologies to uniquely identify an affected utility pole from a plurality of poles. Our systems and methods collect data using DFOS techniques in telecommunication fiber optic cable and use an AI engine to analyze the data collected for the event identification. The AI engine recognizes different vibration patterns when an event happens and advantageously localizes the event to a specific pole and location on the pole with high accuracy. The AI engine enables analyses of events in real-time with greater than 90% accuracy.
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公开(公告)号:US20220329052A1
公开(公告)日:2022-10-13
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
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).
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公开(公告)号:US20220326070A1
公开(公告)日:2022-10-13
申请号:US17716403
申请日:2022-04-08
Applicant: NEC Laboratories America, Inc.
Inventor: Yangmin Ding , Yue Tian , Sarper Ozharar , Yuanda Xu , Ting Wang
Abstract: Systems and methods for reducing work conflicts is provided. The method includes receiving a vibrational signal from a utility pole; identifying a location and type of field work on the utility pole from one or more features of the vibrational signal utilizing a trained neural network; and communicating the location and type of field work to a third party.
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