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    Output efficiency optimization in production systems
    71.
    发明授权
    Output efficiency optimization in production systems 有权

    公开(公告)号：US10161269B2

    公开(公告)日：2018-12-25

    申请号：US15211191

    申请日：2016-07-15

    Applicant: NEC Laboratories America, Inc.

    Inventor： Kai Zhang ,  Haifeng Chen ,  Kenji Yoshihira ,  Guofei Jiang

    IPC: G05B13/02 ,  F01K13/02 ,  G05B13/04 ,  F01K13/00

    Abstract: Systems and methods are provided for optimizing system output in production systems, comprising. The method includes separating, by a processor, one or more initial input variables into a plurality of output variables, the output variables including environmental variables and system response variables. The method also includes building, using the processor, a nonparametric estimation that determines a relationship between one or more initial control variables and the system response variables, and estimating a global input-output mapping function, using the determined relationship, and a range of the environmental variables. The method further includes generating one or more optimal control variables from the initial control variables by maximizing the input-output mapping function and the range of the environmental variables. The method additionally includes incorporating one or more of the optimal control variables into a production system to increase production output of the production system.

    MINING NON-LINEAR DEPENDENCIES VIA A NEIGHBORHOOD MIXTURE MODEL
    73.
    发明申请
    MINING NON-LINEAR DEPENDENCIES VIA A NEIGHBORHOOD MIXTURE MODEL 审中-公开

    公开(公告)号：US20180075370A1

    公开(公告)日：2018-03-15

    申请号：US15635995

    申请日：2017-06-28

    Applicant: NEC Laboratories America, Inc.

    Inventor： Wei Cheng ,  Haifeng Chen ,  Guofei Jiang ,  Kai Zhang

    IPC: G06N99/00

    CPC classification number: G06N20/00 ,  G06N5/003 ,  G06N7/005

    Abstract: A computer-implemented method for simultaneous metric learning and variable selection in non-linear regression is presented. The computer-implemented method includes introducing a dataset and a target variable, creating a univariate neighborhood probability map for each reference point of the dataset, and determining a pairwise distance between each reference point and other points within the dataset. The computer-implemented method further includes computing a Hessian matrix of a quadratic programming (QP) problem, performing optimization of the QP problem, re-weighing data derived from the optimization of the QP problem, and performing non-linear regression on the re-weighed data.

    Security Monitoring with Progressive Behavioral Query Language Databases
    74.
    发明申请
    Security Monitoring with Progressive Behavioral Query Language Databases 审中-公开

    公开(公告)号：US20180060586A1

    公开(公告)日：2018-03-01

    申请号：US15684325

    申请日：2017-08-23

    Applicant: NEC Laboratories America, Inc.

    Inventor： Xusheng Xiao ,  Zhichun Li ,  Mu Zhang ,  Guofei Jiang ,  Jiaping Gui

    IPC: G06F21/57

    CPC classification number: G06F16/24532 ,  G06F16/22 ,  G06F16/245 ,  G06F16/24535 ,  G06F16/24545 ,  G06F21/57 ,  G06F21/6227 ,  G06F2221/034

    Abstract: Automated security systems and methods include a set monitored systems, each having one or more corresponding monitors configured to record system state information. A progressive software behavioral query language (PROBEQL) database is configured to store the system state information from the monitored systems. A query optimizing module is configured to optimize a database query for parallel execution using spatial and temporal information relating to elements in the PROBEQL database. The optimized database query is split into sub-queries with sub-queries being divided spatially according to host and temporally according to time window. A parallel execution module is configured to execute the sub-queries on the PROBEQL database in parallel. A results module is configured to output progressive results of the database query. A security control system is configured to perform a security control action in accordance with the progressive results.

    Periodicity Analysis on Heterogeneous Logs
    77.
    发明申请
    Periodicity Analysis on Heterogeneous Logs 审中-公开

    公开(公告)号：US20170132523A1

    公开(公告)日：2017-05-11

    申请号：US15340255

    申请日：2016-11-01

    Applicant: NEC Laboratories America, Inc.

    Inventor： Hui Zhang ,  Haifeng Chen ,  Jianwu Xu ,  Kenji Yoshihira ,  Guofei Jiang

    IPC: G06N5/04 ,  G06N99/00

    CPC classification number: G06N5/047 ,  G06N20/00

    Abstract: Systems and methods are disclosed for detecting periodic event behaviors from machine generated logging by: capturing heterogeneous log messages, each log message including a time stamp and text content with one or more fields; recognizing log formats from log messages; transforming the text content into a set of time series data, one time series for each log format; during a training phase, analyzing the set of time series data and building a category model for each periodic event type in heterogeneous logs; and during live operation, applying the category model to a stream of time series data from live heterogeneous log messages and generating a flag on a time series data point violating the category model and generating an alarm report for the corresponding log message.

    Annealed Sparsity Via Adaptive and Dynamic Shrinking
    79.
    发明申请
    Annealed Sparsity Via Adaptive and Dynamic Shrinking 审中-公开
    通过自适应和动态收缩退火稀疏

    公开(公告)号：US20160358104A1

    公开(公告)日：2016-12-08

    申请号：US15160280

    申请日：2016-05-20

    Applicant: NEC Laboratories America, Inc.

    Inventor： Kai Zhang ,  Zhengzhang Chen ,  Haifeng Chen ,  Guofei Jiang

    IPC: G06N99/00 ,  G06F17/50

    CPC classification number: G06N20/00 ,  G16B40/20 ,  G16H30/20 ,  G16H40/63 ,  G16H50/20 ,  G16H50/50

    Abstract: Systems and methods are provided for acquiring data from an input signal using multitask regression. The method includes: receiving the input signal, the input signal including data that includes a plurality of features; determining at least two computational tasks to analyze within the input signal; regularizing all of the at least two tasks using shared adaptive weights; performing a multitask regression on the input signal to create a solution path for all of the at least two tasks, wherein the multitask regression includes updating a model coefficient and a regularization weight together under an equality norm constraint until convergence is reached, and updating the model coefficient and regularization weight together under an updated equality norm constraint that has a greater l1-penalty than the previous equality norm constraint until convergence is reached; selecting a sparse model from the solution path; constructing an image using the sparse model; and displaying the image.

    Abstract translation: 提供了系统和方法，用于使用多任务回归从输入信号中获取数据。 所述方法包括：接收所述输入信号，所述输入信号包括包括多个特征的数据; 确定在输入信号内分析的至少两个计算任务; 使用共享自适应权重对所有至少两个任务进行规则化; 对输入信号执行多任务回归，以创建用于所有至少两个任务的解决路径，其中所述多任务回归包括在等式范数约束下一起更新模型系数和正则化权重直到达到收敛，并且更新所述模型 系数和正则化权重在更新的等式规范约束下一起，其具有比先前的等式范数约束更大的l1惩罚，直到达到收敛; 从解决路径中选择稀疏模型; 使用稀疏模型构建图像; 并显示图像。

    Guarding a monitoring scope and interpreting partial control flow context
    80.
    发明授权
    Guarding a monitoring scope and interpreting partial control flow context 有权
    保护监控范围并解释部分控制流程环境

    公开(公告)号：US09471461B2

    公开(公告)日：2016-10-18

    申请号：US14227481

    申请日：2014-03-27

    Applicant: NEC Laboratories America, Inc.

    Inventor： Jungwhan Rhee ,  Hui Zhang ,  Nipun Arora ,  Guofei Jiang ,  Qiang Zeng

    IPC: G06F9/44 ,  G06F11/34

    CPC classification number: G06F11/3466 ,  G06F2201/865

    Abstract: A computer implemented method for maintaining a program's calling context correct even when a monitoring of the program goes out of a scope of a program analysis by validating function call transitions and recovering partial paths before and after the violation of the program's control flow. The method includes detecting a violation of control flow invariants in the software system including validating a source and destination of a function call in the software system, interpreting a pre-violation partial path responsive to a failure of the validating, and interpreting a post violation path after a violation of program flow.

    Abstract translation: 即使当程序的监视超出程序分析的范围时，通过验证功能调用转换并在违反程序的控制流程之前和之后恢复部分路径，用于维护程序的调用上下文的计算机实现的方法也是正确的。 该方法包括检测软件系统中的控制流不变量的违反，包括验证软件系统中的函数调用的源和目的地，响应于验证失败解释预先违反部分路径，以及解释后违反路径 违反程序流程后。

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