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    Usecase specification and runtime execution
    1.
    发明授权
    Usecase specification and runtime execution 有权

    公开(公告)号：US11249803B2

    公开(公告)日：2022-02-15

    申请号：US16809154

    申请日：2020-03-04

    Applicant: NEC Laboratories America, Inc.

    Inventor： Yi Yang ,  Kunal Rao ,  Srimat Chakradhar ,  Giuseppe Coviello ,  Min Feng ,  Murugan Sankaradas

    IPC: G06F9/48 ,  G06F9/46

    Abstract: A computer-implemented method includes obtaining a usecase specification and a usecase runtime specification corresponding to the usecase. The usecase includes a plurality of applications each being associated with a micro-service providing a corresponding functionality within the usecase for performing a task. The method further includes determining that at least one instance of the at least one of the plurality of applications can be reused during execution of the usecase based on the usecase specification and the usecase runtime specification, and reusing the at least one instance during execution of the usecase.

    Distributed real-time security monitoring and alerting
    2.
    发明授权
    Distributed real-time security monitoring and alerting 有权

    公开(公告)号：US11158176B2

    公开(公告)日：2021-10-26

    申请号：US16808722

    申请日：2020-03-04

    Applicant: NEC Laboratories America, Inc.

    Inventor： Kunal Rao ,  Giuseppe Coviello ,  Srimat Chakradhar ,  Min Feng

    IPC: G08B13/196

    Abstract: Systems and methods are disclosed for distributed real-time security monitoring and alerting. The methods include transmitting a selected portion of biometrics data as a watchlist to each worker unit. The portion of biometrics data is selected in response to respective characteristic data received from each worker unit. Facial recognition data is received from each worker unit. The facial recognition data includes a person of interest with an associated match confidence value calculated by each worker unit based on respective watchlists received by each worker unit. A combined match confidence value is calculated between a same person of interest identified in multiple facial recognition data received from each worker unit and the biometric data associated with an individual. The combined match confidence value is calculated in response to match confidence values associated with the same person of interest in respective facial recognition data being below a match confidence threshold.

    DISTRIBUTED REAL-TIME SECURITY MONITORING AND ALERTING
    3.
    发明申请
    DISTRIBUTED REAL-TIME SECURITY MONITORING AND ALERTING 审中-公开

    公开(公告)号：US20200294376A1

    公开(公告)日：2020-09-17

    申请号：US16808722

    申请日：2020-03-04

    Applicant: NEC Laboratories America, Inc.

    Inventor： Kunal Rao ,  Giuseppe Coviello ,  Srimat Chakradhar ,  Min Feng

    IPC: G08B13/196

    Abstract: Systems and methods are disclosed for distributed real-time security monitoring and alerting. The methods include transmitting a selected portion of biometrics data as a watchlist to each worker unit. The portion of biometrics data is selected in response to respective characteristic data received from each worker unit. Facial recognition data is received from each worker unit. The facial recognition data includes a person of interest with an associated match confidence value calculated by each worker unit based on respective watchlists received by each worker unit. A combined match confidence value is calculated between a same person of interest identified in multiple facial recognition data received from each worker unit and the biometric data associated with an individual. The combined match confidence value is calculated in response to match confidence values associated with the same person of interest in respective facial recognition data being below a match confidence threshold.

    MULTI-FACTOR AUTHENTICATION FOR PHYSICAL ACCESS CONTROL
    4.
    发明申请
    MULTI-FACTOR AUTHENTICATION FOR PHYSICAL ACCESS CONTROL 审中-公开

    公开(公告)号：US20200294339A1

    公开(公告)日：2020-09-17

    申请号：US16809147

    申请日：2020-03-04

    Applicant: NEC Laboratories America, Inc.

    Inventor： Kunal Rao ,  Giuseppe Coviello ,  Srimat Chakradhar ,  Min Feng ,  Murugan Sankaradas ,  Utsav Drolia

    IPC: G07C9/26 ,  G06F21/32 ,  H04L9/32 ,  G06K9/00

    Abstract: Methods and systems for authentication include determining, at a first worker system, that a master system that stores a current authentication-list cannot be reached by a first network. Authentication is performed on an authentication request using a previously stored copy of the authentication-list at the first worker system. The authentication includes facial recognition that is performed on detected face images for a first time window, before receiving the authentication request, and for a second time window, after receiving the authentication request. Authentication removes matching detected face images after completing an authentication request to prevent other individuals from using a same identifier. Access is granted to a secured area responsive to the authentication.

    USECASE SPECIFICATION AND RUNTIME EXECUTION
    7.
    发明申请
    USECASE SPECIFICATION AND RUNTIME EXECUTION 审中-公开

    公开(公告)号：US20200293371A1

    公开(公告)日：2020-09-17

    申请号：US16809154

    申请日：2020-03-04

    Applicant: NEC Laboratories America, Inc.

    Inventor： Yi Yang ,  Kunal Rao ,  Srimat Chakradhar ,  Giuseppe Coviello ,  Min Feng ,  Murugan Sankaradas

    IPC: G06F9/48 ,  G06F9/46

    Abstract: A computer-implemented method includes obtaining a usecase specification and a usecase runtime specification corresponding to the usecase. The usecase includes a plurality of applications each being associated with a micro-service providing a corresponding functionality within the usecase for performing a task. The method further includes determining that at least one instance of the at least one of the plurality of applications can be reused during execution of the usecase based on the usecase specification and the usecase runtime specification, and reusing the at least one instance during execution of the usecase.

    SOURCE-TO-SOURCE COMPILER AND RUN-TIME LIBRARY TO TRANSPARENTLY ACCELERATE STACK OR QUEUE-BASED IRREGULAR APPLICATIONS ON MANY-CORE ARCHITECTURES
    8.
    发明申请
    SOURCE-TO-SOURCE COMPILER AND RUN-TIME LIBRARY TO TRANSPARENTLY ACCELERATE STACK OR QUEUE-BASED IRREGULAR APPLICATIONS ON MANY-CORE ARCHITECTURES 有权
    源代码源编译器和运行时库可以在多个体系结构中进行快速加速堆栈或基于队列的非正式应用

    公开(公告)号：US20150242323A1

    公开(公告)日：2015-08-27

    申请号：US14631255

    申请日：2015-02-25

    Applicant: NEC Laboratories America, Inc.

    Inventor： Yi Yang ,  Min Feng ,  Srimat Chakradhar

    IPC: G06F12/08 ,  G06F5/14

    CPC classification number: G06F5/14 ,  G06F8/30 ,  G06F8/4434

    Abstract: Systems and methods for system for source-to-source transformation for optimizing stacks and/or queues in an application, including identifying usage of stacks and queues in the application and collecting the resource usage and thread block configurations for the application. If the usage of stacks is identified, optimized code is generated by determining appropriate storage, partitioning stacks based on determined storage, and caching tops of the stacks in a register. If the identifier identifies usage of queues, optimized code is generated by combining queue operations in all threads in a warp/thread block into one batch queue operation, converting control divergence of the application to data divergence to enable warp-level queue operations, determining whether at least one of the threads includes a queue operation, and combining queue operations into threads in a warp.

    Abstract translation: 用于源到源转换的系统和方法，用于优化应用程序中的堆栈和/或队列，包括识别应用程序中堆栈和队列的使用情况，并收集应用程序的资源使用情况和线程块配置。 如果识别堆栈的使用，则通过确定适当的存储，基于确定的存储分区堆栈以及将堆栈的顶部缓存在寄存器中来生成优化的代码。 如果标识符识别队列的使用，则通过将经线/线程块中的所有线程中的队列操作组合成一个批量队列操作来生成优化的代码，将应用程序的控制分歧转换为数据发散以启用经线级队列操作，确定是否 线程中的至少一个包括队列操作，并将队列操作合并到warp中的线程中。

    COMBINED LIGHT AND HEAVY MODELS FOR IMAGE FILTERING
    10.
    发明申请
    COMBINED LIGHT AND HEAVY MODELS FOR IMAGE FILTERING 有权

    公开(公告)号：US20210264138A1

    公开(公告)日：2021-08-26

    申请号：US17181735

    申请日：2021-02-22

    Applicant: NEC Laboratories America, Inc.

    Inventor： Yi Yang ,  Min Feng ,  Srimat Chakradhar

    IPC: G06K9/00 ,  G06T7/00

    Abstract: Systems and methods for demographic determination using image recognition. The method includes analyzing an image with a pre-trained lightweight neural network model, where the lightweight neural network model generates a confidence value, and comparing the confidence value to a threshold value to determine if the pre-trained lightweight neural network model is sufficiently accurate. The method further includes analyzing the image with a pre-trained heavyweight neural network model for the confidence value below the threshold value, wherein the pre-trained heavyweight neural network model has above about one million trainable parameters and the pre-trained lightweight neural network model has a number of trainable parameters below one tenth the heavyweight model, and displaying demographic data to a user on a user interface, wherein the user modifies store inventory based on the demographic data.

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