公开(公告)号：US20180060748A1

公开(公告)日：2018-03-01

申请号：US15684293

申请日：2017-08-23

Applicant: NEC Laboratories America, Inc.

Inventor： Jianwu Xu ,  Biplob Debnath ,  Bo Zong ,  Hui Zhang ,  Guofei Jiang ,  Hancheng Ge

IPC: G06N5/04 ,  G06N7/00 ,  G06F17/16

CPC classification number: G06N5/047 ,  G06F17/16 ,  G06F17/20 ,  G06F17/2282 ,  G06F17/277 ,  G06N7/00

Abstract: A heterogeneous log pattern editing recommendation system and computer-implemented method are provided. The system has a processor configured to identify, from heterogeneous logs, patterns including variable fields and constant fields. The processor is also configured to extract a category feature, a cardinality feature, and a before-after n-gram feature by tokenizing the variable fields in the identified patterns. The processor is additionally configured to generate target similarity scores between target fields to be potentially edited and other fields from among the variable fields in the heterogeneous logs using pattern editing operations based on the extracted category feature, the extracted cardinality feature, and the extracted before-after n-gram feature. The processor is further configured to recommend, to a user, log pattern edits for at least one of the target fields based on the target similarity scores between the target fields in the heterogeneous logs.

公开(公告)号：US20180060666A1

公开(公告)日：2018-03-01

申请号：US15688131

申请日：2017-08-28

Applicant: NEC Laboratories America, Inc.

Inventor： Dongjin Song ,  Haifeng Chen ,  Guofei Jiang ,  Yao Qin

IPC: G06K9/00 ,  G06N3/04 ,  G08B23/00

CPC classification number: G06K9/00718 ,  G06F15/18 ,  G06F17/18 ,  G06F17/30392 ,  G06K9/00744 ,  G06K2009/00738 ,  G06N3/02 ,  G06N3/04 ,  G06N3/049 ,  G06Q10/06375 ,  G06T2207/20084 ,  G08B23/00 ,  G08B31/00

Abstract: Systems and devices including an imaging sensor to capture video sequences in an environment having safety concerns therein. The systems and devices further including a processor to generate driving series based on observations from the video sequences, and generate predictions of future events based on the observations using a dual-stage attention-based recurrent neural network (DA-RNN). The DA-RNN includes an input attention mechanism to extract relevant driving series, an encoder to encode the extracted relevant driving series into hidden states, a temporal attention mechanism to extract relevant hidden states, and a decoder to decode the relevant hidden states. The processor further generates a signal for initiating an action to machines to mitigate harm to items.

公开(公告)号：US09906057B2

公开(公告)日：2018-02-27

申请号：US14878817

申请日：2015-10-08

Applicant: NEC Laboratories America, Inc.

Inventor： Feng Guo ,  Yanzhu Ye ,  Ratnesh Sharma

IPC: H02J1/00 ,  H02J7/00 ,  H02J3/32 ,  H02J7/34 ,  H02M1/00 ,  H02M7/483

CPC classification number: H02J7/0054 ,  H02J3/32 ,  H02J7/345 ,  H02J2007/0059 ,  H02M2001/0003 ,  H02M2007/4835

Abstract: A modular multilevel converter for hybrid energy storage includes three phases connectable in series to a battery, and in parallel to one another. Each phase includes at least two arms of sub-modules and buffer inductors, and each of the sub-modules comprises a half-bridge and an ultracapacitor. A two layer controller, including a coordination layer and a converter layer, is configured to independently control battery output power and ultracapacitor output power, and to distribute a power load between the battery and the ultracapacitor to optimize the performance of a hybrid energy storage system.

公开(公告)号：US09905104B1

公开(公告)日：2018-02-27

申请号：US15637360

申请日：2017-06-29

Applicant: NEC Laboratories America, Inc. ,  NEC Hong Kong Limited

Inventor： Manmohan Chandraker ,  Wongun Choi ,  Eric Lau ,  Elsa Wong ,  Guobin Chen

IPC: G08B23/00 ,  G08B21/02 ,  G08B21/24 ,  G08B21/04

CPC classification number: G08B21/0205 ,  G06F17/30256 ,  G06F17/30259 ,  G06K9/00067 ,  G06N99/005 ,  G08B21/0208 ,  G08B21/0222 ,  G08B21/0461 ,  G08B21/24

Abstract: A baby detection system and corresponding method are provided. The baby detection system includes a camera configured to capture an input image of a subject purported to be a baby and presented at an electronic-gate system. The baby detection system further includes a memory storing a deep learning model configured to perform a baby detection task for an electronic-gate application corresponding to the electronic-gate system. The baby detection system also includes a processor configured to apply the deep learning model to the input image to provide a baby detection result of either a presence or an absence of an actual baby in relation to the subject purported to be the baby. The baby detection task is configured to evaluate one or more different distractor modalities corresponding to one or more different physical spoofing materials to prevent baby spoofing for the baby detection task.

公开(公告)号：US09904976B2

公开(公告)日：2018-02-27

申请号：US14945548

申请日：2015-11-19

Applicant: NEC Laboratories America, Inc.

Inventor： Yi Yang ,  Srimat Chakradhar

IPC: G06T1/20 ,  G06T1/60 ,  G06N3/00

CPC classification number: G06T1/20 ,  G06N3/00 ,  G06N3/0454 ,  G06N3/063

Abstract: Systems and methods are disclosed for speeding up a computer having a graphics processing unit (GPU) and a general purpose processor (GP-GPU) by decoupling a convolution process for a first matrix into a row part and a column part; expanding the row part into a second matrix; performing matrix multiplication using the second matrix and a filter matrix; and performing reduction on an output matrix.

公开(公告)号：US20180052102A1

公开(公告)日：2018-02-22

申请号：US15678728

申请日：2017-08-16

Applicant: NEC Laboratories America, Inc.

Inventor： Fatih Yaman ,  Giovanni Milione ,  Shaoliang Zhang ,  Yue-Kai Huang

IPC: G01N21/47 ,  G02B6/02 ,  G01K11/32

CPC classification number: G01N21/47 ,  G01H9/004 ,  G01K11/32 ,  G01M11/3172 ,  G01N2021/1744 ,  G01N2021/432 ,  G01N2021/638 ,  G02B6/02042

Abstract: A system and method are provided for distributed acoustic sensing in a multicore optical fiber. The system includes a transmitter for simultaneously propagating a sequence of M light pulses through the multicore optical fiber using a spatial mode selected from a set of N spatial modes provided by a spatial mode selector for the transmitter that is coupled to an input to the multicore optical fiber, with M and N being respective integers greater than one. The system further includes a receiver for receiving the sequence of M light pulses at an output of the multicore optical fiber and detecting an environmental perturbation in the multicore optical fiber based on an evaluation of a propagation of the sequence of M light pulses through the multicore optical fiber.

公开(公告)号：US20180048667A1

公开(公告)日：2018-02-15

申请号：US15725994

申请日：2017-10-05

Applicant: NEC Laboratories America, Inc.

Inventor： LuAn Tang ,  Hengtong Zhang ,  Zhengzhang Chen ,  Bo Zong ,  Zhichun Li ,  Guofei Jiang ,  Kenji Yoshihira

IPC: H04L29/06 ,  G06F21/55

CPC classification number: H04L63/1425 ,  G06F21/552 ,  G06F21/554 ,  G06F21/57 ,  H04L12/4625 ,  H04L41/12 ,  H04L41/142 ,  H04L41/145 ,  H04L63/1416 ,  H04L63/1441 ,  H04L63/145 ,  H04L63/20

Abstract: Methods and systems for detecting anomalous events include detecting anomalous events in monitored system data. An event correlation graph is generated by determining a tendency for a first process to access a system target, including an innate tendency of the first process to access the system target, an influence of previous events from the first process, and an influence of processes other than the first process. Kill chains are generated from the event correlation graph that characterize events in an attack path over time. A security management action is performed based on the kill chains.

公开(公告)号：US09888469B2

公开(公告)日：2018-02-06

申请号：US14661036

申请日：2015-03-18

Applicant: NEC Laboratories America, Inc.

Inventor： Narayan Prasad ,  Mohammad Khojastepour ,  Mustafa Arslan ,  Karthikeyan Sundaresan ,  Sampath Rangarajan

IPC: H04W4/00 ,  H04W72/04 ,  H04L5/00 ,  H04B7/024 ,  H04B7/06

CPC classification number: H04W72/0433 ,  H04B7/024 ,  H04B7/0626 ,  H04B7/063 ,  H04B7/0632 ,  H04L5/0007 ,  H04L5/0032 ,  H04L5/0035 ,  H04L5/0073 ,  H04L5/0096 ,  H04W72/0426 ,  H04W72/082

Abstract: In a wireless communications system including a first transmission point and a second transmission point, a wireless communications method implemented in the first transmission point supporting coordinated multi-point transmission and reception (CoMP) is disclosed. The wireless communications method comprises transmitting to the second transmission point one or more CoMP hypothesis sets, and transmitting to the second transmission point a benefit metric corresponding to each CoMP hypothesis set, wherein the benefit metric can be a negative value. Other methods, systems, and apparatuses also are disclosed.

公开(公告)号：US20180032724A1

公开(公告)日：2018-02-01

申请号：US15725974

申请日：2017-10-05

Applicant: NEC Laboratories America, Inc.

Inventor： LuAn Tang ,  Hengtong Zhang ,  Zhengzhang Chen ,  Bo Zong ,  Zhichun Li ,  Guofei Jiang ,  Kenji Yoshihira

IPC: G06F21/55 ,  G06F21/57 ,  H04L29/06

CPC classification number: G06F21/554 ,  G06F21/552 ,  G06F21/577 ,  H04L41/12 ,  H04L41/142 ,  H04L41/145 ,  H04L63/1416 ,  H04L63/1425 ,  H04L63/1433 ,  H04L63/145

Abstract: Methods and systems for detecting anomalous events include detecting anomalous events in monitored system data. An event correlation graph is generated based on the monitored system data that characterizes the tendency of processes to access system targets. Kill chains are generated that connect malicious events over a span of time from the event correlation graph that characterize events in an attack path over time by sorting events according to a maliciousness value and determining at least one sub-graph within the event correlation graph with an above-threshold maliciousness rank. A security management action is performed based on the kill chains.

公开(公告)号：US20180025242A1

公开(公告)日：2018-01-25

申请号：US15637465

申请日：2017-06-29

Applicant: NEC Laboratories America, Inc. ,  NEC Hong Kong Limited

Inventor： Manmohan Chandraker ,  Xiang Yu ,  Eric Lau ,  Elsa Wong

IPC: G06K9/00 ,  G06N99/00

CPC classification number: G06F21/32 ,  G06F21/6218 ,  G06F2221/2133 ,  G06K9/00221 ,  G06K9/00228 ,  G06K9/00255 ,  G06K9/00281 ,  G06K9/00288 ,  G06K9/00624 ,  G06K9/00791 ,  G06K9/00906 ,  G06K9/4652 ,  G06K9/66 ,  G06N99/005 ,  G07C9/00158 ,  G07C9/00166 ,  H04L63/0861 ,  H04L63/1483

Abstract: A facility access control system and corresponding method are provided. The facility access control system includes a camera configured to capture an input image of a subject attempting to enter or exit a restricted facility. The facility access control system further includes a memory storing a deep learning model configured to perform multi-task learning for a pair of tasks including a liveness detection task and a face recognition task. The facility access control system also includes a processor configured to apply the deep learning model to the input image to recognize an identity of the subject in the input image regarding being authorized for access to the facility and a liveness of the subject. The liveness detection task is configured to evaluate a plurality of different distracter modalities corresponding to different physical spoofing materials to prevent face spoofing for the face recognition task.