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    FAILURE PREDICTION USING GRADIENT-BASED SENSOR IDENTIFICATION
    81.
    发明申请
    FAILURE PREDICTION USING GRADIENT-BASED SENSOR IDENTIFICATION 审中-公开

    公开(公告)号：WO2020242553A1

    公开(公告)日：2020-12-03

    申请号：PCT/US2020/022531

    申请日：2020-03-13

    Applicant: NEC LABORATORIES AMERICA, INC.

    Inventor： NATSUMEDA, Masanao ,  CHENG, Wei ,  CHEN, Haifeng ,  CHEN, Yuncong

    IPC: G05B23/02 ,  G06F11/30 ,  G06N3/08

    Abstract: Methods and systems for predicting failure in a cyber-physical system include determining a prediction index based on a comparison of input time series, from respective sensors in a cyber-physical system, to failure precursors. A failure precursor is detected in the input time series, responsive to a comparison of the prediction index to a threshold. A subset of the sensors associated with the failure precursor is determined, based on a gradient of the prediction index. A corrective action is performed responsive to the determined subset of sensors.

    TRANSPARENT WALK-THROUGH GATE
    83.
    发明申请
    TRANSPARENT WALK-THROUGH GATE 审中-公开

    公开(公告)号：WO2020214324A1

    公开(公告)日：2020-10-22

    申请号：PCT/US2020/023504

    申请日：2020-03-19

    Applicant: NEC LABORATORIES AMERICA, INC.

    Inventor： KHOJASTEPOUR, Mohammad ,  ARSLAN, Mustafa ,  RANGARAJAN, Sampath

    IPC: G07C9/00 ,  G07C9/29 ,  G06K19/07

    Abstract: A walk-through gate is provided. The walk-through gate includes a first semi-transparent side wall and a second semi-transparent side wall encapsulating a walk-through gate volume having an ingress portion and an egress portion. The walk-through gate further includes a plurality of antennas for wirelessly receiving product identifiers for wireless checkout. At least one of the plurality of antennas is made of a semi-transparent conductive material.

    AERIAL FIBER OPTICAL CABLE LOCALIZATION USING DISTRIBUTED SENSING
    84.
    发明申请
    AERIAL FIBER OPTICAL CABLE LOCALIZATION USING DISTRIBUTED SENSING 审中-公开

    公开(公告)号：WO2020206199A9

    公开(公告)日：2020-10-08

    申请号：PCT/US2020/026505

    申请日：2020-04-03

    Applicant: NEC LABORATORIES AMERICA, INC. ,  NEC CORPORATION

    Inventor： TIAN, Yue

    IPC: G02B6/48 ,  H04B10/2575

    Abstract: Aspects of the present disclosure describe aerial fiber optical cable localization using distributed acoustic sensing (DAS) that advantageously may determine the locality of electrical transformers affixed to utility poles along with the aerial fiber optical cable as well as any length(s) of fiber optical cable between the poles. Further aspects employ survey manned or unmanned, aerial or terrestrial survey vehicles that acoustically excite locations along the fiber optical cable and associate those DAS excitations with global positioning location (GPS).

    SMART OPTICAL CABLE POSITIONING/LOCATION USING OPTICAL FIBER SENSING
    87.
    发明申请
    SMART OPTICAL CABLE POSITIONING/LOCATION USING OPTICAL FIBER SENSING 审中-公开

    公开(公告)号：WO2020086636A1

    公开(公告)日：2020-04-30

    申请号：PCT/US2019/057514

    申请日：2019-10-23

    Applicant: NEC LABORATORIES AMERICA, INC.

    Inventor： HUANG, Ming-Fang ,  CHEN, Yuheng ,  WANG, Ting

    IPC: H04B10/07 ,  H04B10/071 ,  H04B10/25 ,  G01S19/01 ,  G01N29/14

    Abstract: Aspects of the present disclosure describe systems, methods and structures for determining any location on a deployed fiber cable from an optical time domain reflectometry (OTDR) curve using a movable mechanical vibration source to stimulate tiny vibration of fiber in deployed fiber cable along the cable route and a fiber sensing system at a central office to detect the vibration(s). Latitude and longitude of the location(s) of the vibration source is measured with a GPS device and a dynamic-OTDR distance is measured at central office (CO) simultaneously. The collected GPS location data and corresponding dynamic-OTDR distance data are paired and saved into a database. This saved data may be processed to graphically overlie a map thereby providing exact cable location on the map thereby providing carriers/service providers the ability to improve fiber fault location on a deployed fiber cable much faster and more accurately than presently possible using methods available in the art.

    A GRAPH MODEL FOR ALERT INTERPRETATION IN ENTERPRISE SECURITY SYSTEM
    89.
    发明申请
    A GRAPH MODEL FOR ALERT INTERPRETATION IN ENTERPRISE SECURITY SYSTEM 审中-公开

    公开(公告)号：WO2019084072A1

    公开(公告)日：2019-05-02

    申请号：PCT/US2018/057198

    申请日：2018-10-24

    Applicant: NEC LABORATORIES AMERICA, INC.

    Inventor： TANG, LuAn ,  CHEN, Zhengzhang ,  LI, Zhichun ,  WU, Zhenyu ,  KAMIMURA, Jumpei ,  CHEN, Haifeng

    IPC: G06F21/55 ,  G06F21/57

    Abstract: A computer-implemented method for implementing alert interpretation in enterprise security systems is presented. The computer-implemented method includes employing a plurality of sensors to monitor streaming data from a plurality of computing devices, generating alerts based on the monitored streaming data, automatically analyzing the alerts, in real-time, by using a graph-based alert interpretation engine employing process-star graph models, retrieving a cause of the alerts, an aftermath of the alerts, and baselines for the alert interpretation, and integrating the cause of the alerts, the aftermath of the alerts, and the baselines to output an alert interpretation graph to a user interface of a user device.

    VIEWPOINT INVARIANT OBJECT RECOGNITION BY SYNTHESIZATION AND DOMAIN ADAPTATION
    90.
    发明申请
    VIEWPOINT INVARIANT OBJECT RECOGNITION BY SYNTHESIZATION AND DOMAIN ADAPTATION 审中-公开

    公开(公告)号：WO2019045982A1

    公开(公告)日：2019-03-07

    申请号：PCT/US2018/045911

    申请日：2018-08-09

    Applicant: NEC LABORATORIES AMERICA, INC.

    Inventor： SOHN, Kihyuk ,  TRAN, Luan ,  YU, Xiang ,  CHANDRAKER, Manmohan

    IPC: G06K9/20 ,  G06K9/46 ,  G06K9/62 ,  G06N3/08

    Abstract: Systems and methods for performing domain adaptation include collecting a labeled source image having a view of an object. Viewpoints of the object in the source image are synthesized to generate view augmented source images. Photometrics of each of the viewpoints of the object are adjusted to generate lighting and view augmented source images. Features are extracted from each of the lighting and view augmented source images with a first feature extractor and from captured images captured by an image capture device with a second feature extractor. The extracted features are classified using domain adaptation with domain adversarial learning between extracted features of the captured images and extracted features of the lighting and view augmented source images. Labeled target images are displayed corresponding to each of the captured images including labels corresponding to classifications of the extracted features of the captured images.

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