公开(公告)号：US11494618B2

公开(公告)日：2022-11-08

申请号：US16558639

申请日：2019-09-03

Applicant: NEC Laboratories America, Inc.

Inventor： Ning Xia ,  Dongjin Song ,  Haifeng Chen

IPC: G06N3/04 ,  G06F16/23

Abstract: Methods and systems for detecting and correcting anomalies include comparing a new time series segment, generated by a sensor in a cyber-physical system, to previous time series segments of the sensor to generate a similarity measure for each previous time series segment. It is determined that the new time series represents anomalous behavior based on the similarity measures. A corrective action is performed on the cyber-physical system to correct the anomalous behavior.

公开(公告)号：US20220346107A1

公开(公告)日：2022-10-27

申请号：US17714505

申请日：2022-04-06

Applicant: NEC Laboratories America, Inc.

Inventor： Mohammad Khojastepour

IPC: H04W72/12

Abstract: A method for implementing opportunistic user scheduling under long-term and short-term resource fairness constraints is presented. The method includes enabling a base station to communicate with a plurality mobile devices handled by a plurality of users within a single-cell wireless communication network, deriving a feasible region of resource block (RB) fairness vectors by enabling an opportunistic scheduler to select active users from the plurality of users at each RB, implementing an optimal user scheduling strategy to maximize system utility by optimizing, via the opportunistic scheduler, transmit power and user mode selection, wherein the optimal user scheduling strategy includes a threshold-based strategy (TBS) phase and a compensation phase, and employing a short-term resource fair scheduling strategy satisfying user resource demands over a finite window-length.

公开(公告)号：US20220343159A1

公开(公告)日：2022-10-27

申请号：US17720431

申请日：2022-04-14

Applicant: NEC Laboratories America, Inc.

Inventor： Yanchi Liu ,  Haifeng Chen ,  Xuchao Zhang

IPC: G06N3/08 ,  G06F16/33

Abstract: Systems and methods are provided for detail matching. The method includes training a feature classifier to identify technical features, and training a neural network model for a trained importance calculator to calculate an importance value for each identified technical feature. The method further includes receiving a specification sheet including a plurality of technical features, and receiving a plurality of descriptive sheets each including a plurality of technical features. The method further includes identifying the technical features in the specification sheet and the plurality of descriptive sheets using the trained feature classifier, and calculating an importance for each identified technical feature using the trained feature importance calculator. The method further includes calculating a matching score between the identified technical features of the specification sheet and the identified technical features of the plurality of descriptive sheets based on the importance of each identified technical feature.

公开(公告)号：US20220337644A1

公开(公告)日：2022-10-20

申请号：US17720776

申请日：2022-04-14

Applicant: NEC Laboratories America, Inc.

Inventor： Giuseppe Coviello ,  Kunal Rao ,  Wang-Pin Hsiung ,  Oliver Po ,  Srimat Chakradhar

IPC: H04L65/60

Abstract: Methods and systems for managing communications include identifying a system condition in a distributed computing system comprising a first microservice in communication with a second microservice. A communications method is identified responsive to the identified system condition using a reinforcement learning model that associates communication methods with system conditions. The identified communications method is implemented for communications between the first microservice and the second microservice, such that the first microservice and the second microservice use the identified communications method to transmit data.

公开(公告)号：US20220327425A1

公开(公告)日：2022-10-13

申请号：US17711658

申请日：2022-04-01

Applicant: NEC Laboratories America, Inc.

Inventor： Renqiang Min ,  Hans Peter Graf ,  Ligong Han

IPC: G06N20/00

Abstract: Methods and systems for training a machine learning model include embedding a state, including a peptide sequence and a protein, as a vector. An action, including a modification to an amino acid in the peptide sequence, is predicted using a presentation score of the peptide sequence by the protein as a reward. A mutation policy model is trained, using the state and the reward, to generate modifications that increase the presentation score.

公开(公告)号：US11468680B2

公开(公告)日：2022-10-11

申请号：US16998404

申请日：2020-08-20

Applicant: NEC Laboratories America, Inc.

Inventor： Gaurav Sharma ,  Samuel Schulter ,  Jinwoo Choi

IPC: G06K9/62 ,  G06N3/04 ,  G06V20/40 ,  G06N3/08 ,  G06V40/20

Abstract: A method for performing video domain adaptation for human action recognition is presented. The method includes using annotated source data from a source video and unannotated target data from a target video in an unsupervised domain adaptation setting, identifying and aligning discriminative clips in the source and target videos via an attention mechanism, and learning spatial-background invariant human action representations by employing a self-supervised clip order prediction loss for both the annotated source data and the unannotated target data.

公开(公告)号：US11468591B2

公开(公告)日：2022-10-11

申请号：US16890123

申请日：2020-06-02

Applicant: NEC Laboratories America, Inc.

Inventor： Samuel Schulter

IPC: G06T7/70 ,  G06N20/00 ,  G06N5/04 ,  G06K9/62 ,  G06V20/56

Abstract: Systems and methods for road typology scene annotation are provided. A method for road typology scene annotation includes receiving an image having a road scene. The image is received from an imaging device. The method populates, using a machine learning model, a set of attribute settings with values representing the road scene. An annotation interface is implemented and configured to adjust values of the attribute settings to correspond with the road scene. Based on the values of the attribute settings, a simulated overhead view of the respective road scene is generated.

公开(公告)号：US11468576B2

公开(公告)日：2022-10-11

申请号：US17178570

申请日：2021-02-18

Applicant: NEC Laboratories America, Inc.

Inventor： Kunal Rao ,  Utsav Drolia ,  Murugan Sankaradas ,  Srimat Chakradhar

IPC: G06T7/292 ,  H04N7/18 ,  G06V20/52 ,  G06V40/50 ,  G06V40/16 ,  G06Q30/02

Abstract: A method for tracing individuals through physical spaces that includes registering cameras in groupings relating a physical space. The method further includes performing local video monitoring including a video sensor input that outputs frames from inputs from recording with the cameras in the groupings, a face detection application for extracting faces from the output frames, and a face matching application for matching faces extracted from the output frames to a watchlist, and a local movement monitor that assigns tracks to the matched faces. The method further includes performing a global monitor including a biometrics monitor for preparing the watchlist of faces, the watchlist of faces being updated when a new face is detected by the cameras in the groupings, and a global movement monitor that combines the outputs from the assigned tracks to the matched faces to launch a report regarding individual population traveling to the physical spaces.

公开(公告)号：US11463472B2

公开(公告)日：2022-10-04

申请号：US16653259

申请日：2019-10-15

Applicant: NEC Laboratories America, Inc.

Inventor： Zhengzhang Chen ,  Ding Li ,  Zhichun Li ,  Shen Wang

IPC: H04L29/06 ,  H04L9/40 ,  G06K9/62 ,  G06F16/901 ,  G06N3/04

Abstract: A method for detecting malicious program behavior includes performing program verification based on system activity data, analyzing unverified program data identified from the program verification to detect abnormal events, including analyzing host-level events to detect abnormal host-level events by learning a program representation as a graph embedding through an attentional architecture based on an invariant graph between different system entities, generating detection results based on the analysis, and performing at least one corrective action based on the detection results.

公开(公告)号：US11461619B2

公开(公告)日：2022-10-04

申请号：US16787820

申请日：2020-02-11

Applicant: NEC Laboratories America, Inc.

Inventor： Wei Cheng ,  Haifeng Chen ,  Dongkuan Xu

IPC: G06N3/04 ,  G06K9/62 ,  G06F17/16

Abstract: Systems and methods for implementing a spatial and temporal attention-based gated recurrent unit (GRU) for node classification over temporal attributed graphs are provided. The method includes computing, using a GRU, embeddings of nodes at different snapshots. The method includes performing weighted sum pooling of neighborhood nodes for each node. The method further includes concatenating feature vectors for each node. Final temporal network embedding vectors are generated based on the feature vectors for each node. The method also includes applying a classification model based on the final temporal network embedding vectors to the plurality of nodes to determine temporal attributed graphs with classified nodes.