公开(公告)号：US20240378447A1

公开(公告)日：2024-11-14

申请号：US18650289

申请日：2024-04-30

Applicant: NEC Laboratories America, Inc.

Inventor： Xujiang Zhao ,  Haifeng Chen ,  Wei Cheng ,  Yanchi Liu

IPC: G06N3/09 ,  G06F40/205

Abstract: Systems and methods are provided for extracting relations from text data, including collecting labeled text data from diverse sources, including digital archives and online repositories, each source including sentences annotated with detailed grammatical structures. Initial relational data is generated from the grammatical structures by applying advanced parsing and machine learning techniques using a sophisticated rule-based algorithm. Training sets are generated for enhancing the diversity and complexity of a relation dataset by applying data augmentation techniques to the initial relational data. A neural network model is trained using an array of semantically equivalent but syntactically varied prompt templates designed to test and refine linguistic capabilities of a model. A final relation extraction output is determined by implementing a vote-based decision system integrating statistical analysis and utilizing a weighted voting mechanism to optimize extraction accuracy and reliability.

公开(公告)号：US20240378440A1

公开(公告)日：2024-11-14

申请号：US18656894

申请日：2024-05-07

Applicant: NEC Laboratories America, Inc.

Inventor： Alexandru Niculescu-Mizil ,  Konstantinos Dafnis

IPC: G06N3/08

Abstract: Methods and systems for deep learning include encoding input data, using a data encoder machine learning model, to generate an embedded representation of the input data. A correction is added to the input data with a rule encoder machine learning model to generate a corrected representation. The corrected representation is decoded using a data decoder machine learning model to generate a prediction. Parameters of the rule encoder machine learning model are updated using a loss function that encodes symbolic information relating to the prediction.

公开(公告)号：US12135234B2

公开(公告)日：2024-11-05

申请号：US17967812

申请日：2022-10-17

Applicant: NEC Laboratories America, Inc.

Inventor： Ezra Ip ,  Yue-Kai Huang

IPC: G01H9/00 ,  G01D5/26 ,  G01D5/353 ,  H04L27/227

Abstract: Aspects of the present disclosure directed to frequency drift compensation for coded-DAS systems that use chirped pulses as a probe signal. Our inventive approach estimates timing jitter by correlating the amplitude of the estimated Rayleigh impulse response of every frame with a reference frame, and then re-aligns each frame by the estimated timing jitter. As the amount of timing jitter varies within a frame, every frame is divided into blocks where all samples have similar timing jitter, and perform timing jitter estimation and compensation on a block-by-block, frame-by-frame basis using an overlap-and-save method. Tracking of a slowly changing channel is enabled by allowing the reference frame to be periodically updated.

公开(公告)号：US12131489B2

公开(公告)日：2024-10-29

申请号：US17741735

申请日：2022-05-11

Applicant: NEC Laboratories America, Inc.

Inventor： Farley Lai ,  Asim Kadav ,  Likitha Lakshminarayanan

IPC: G06T7/292 ,  G06T7/223 ,  G06T7/246 ,  G06V20/52

CPC classification number: G06T7/292 ,  G06T7/223 ,  G06T7/248 ,  G06V20/52 ,  G06T2200/24 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/30196 ,  G06T2207/30232

Abstract: A surveillance system is provided. The surveillance system is configured for (i) detecting and tracking persons locally for each camera input video stream using the common area anchor boxes and assigning each detected ones of the persons a local track id, (ii) associating a same person in overlapping camera views to a global track id, and collecting associated track boxes as the same person moves in different camera views over time using a priority queue and the local track id and the global track id, (iii) performing track data collection to derive a spatial transformation through matched track box spatial features of a same person over time for scene coverage and (iv) learning a multi-camera tracker given visual features from matched track boxes of distinct people across cameras based on the derived spatial transformation.

公开(公告)号：US12130616B2

公开(公告)日：2024-10-29

申请号：US17358260

申请日：2021-06-25

Applicant: NEC Laboratories America, Inc.

Inventor： Masanao Natsumeda ,  Haifeng Chen

IPC: G05B23/02 ,  G06N3/045 ,  G06N3/08

CPC classification number: G05B23/0283 ,  G05B23/024 ,  G05B23/0272 ,  G06N3/045 ,  G06N3/08

Abstract: Systems and methods for determining a remaining useful life of a system. The system and method include one or more processors; a memory coupled to the one or more processors; a data acquisition unit configured to receive run-to-failure time series data; a neural network training unit configured to train a neural network model to determine a point in time that a health index changes from a healthy stage to a degradation stage; a remaining useful life estimation unit configured to estimate a first remaining useful life of the system based on the point in time; estimate a second remaining useful life of the system by converting a feature representation output by the second neural network; minimize the difference between the first remaining useful life and the second remaining useful life; classify the health stage based on a probability; and an output unit configured to send a warning to a user.

公开(公告)号：US12130189B2

公开(公告)日：2024-10-29

申请号：US17191622

申请日：2021-03-03

Applicant: NEC Laboratories America, Inc.

Inventor： Qiang Wang ,  Yaowen Li

IPC: G01K11/324 ,  G01J3/44

CPC classification number: G01K11/324 ,  G01J3/44

Abstract: Aspects of the present disclosure describe distributed fiber optic sensing systems (DFOSa), methods, and structures for distributed temperature sensing (DTS) that 1) employs a GmAPD instead of a traditional LmAPD detector which advantageously produces a 10˜20 dB gain improvement of SNR for a far-end weak signal, thereby improving long range detectability; 2) employs an inventive gating scheme that advantageously and surprisingly overcomes the “dead time” problem for GmAPD working in SPC mode that plagues Geiger mode operation; and 3) third, employs an inventive post-processing technique that advantageously allows our methods to correct any dark noise caused signal distortion.

公开(公告)号：US20240354583A1

公开(公告)日：2024-10-24

申请号：US18615535

申请日：2024-03-25

Applicant: NEC Laboratories America, Inc.

Inventor： Sparsh Garg ,  Samuel Schulter ,  Bingbing Zhuang ,  Manmohan Chandraker

IPC: G06N3/0895

CPC classification number: G06N3/0895

Abstract: Methods and systems for training a model include annotating a subset of an unlabeled training dataset, that includes images of road scenes, with labels. A road defect detection model is iteratively trained, including adding pseudo-labels to a remainder of examples from the unlabeled training dataset and training the road defect detection model based on the labels and the pseudo-labels.

公开(公告)号：US20240354184A1

公开(公告)日：2024-10-24

申请号：US18594487

申请日：2024-03-04

Applicant: NEC Laboratories America, Inc.

Inventor： Peng Yuan ,  LuAn Tang ,  Haifeng Chen ,  Yuncong Chen ,  Zhengzhang Chen ,  Motoyuki Sato

IPC: G06F11/07

CPC classification number: G06F11/079 ,  G06F11/0736 ,  G06F11/0793

Abstract: Systems and methods are provided for incident analysis in Cyber-Physical Systems (CPS) using a Temporal Graph-based Incident Analysis System (TGIAS) and/or Transition Based Categorical Anomaly Detection (TCAD). Dynamically gathered multimodal data from a distributed network of sensors across the CPS are preprocessed to identify abnormal sensor readings indicative of potential incidents, and a multi-layered incident timeline graph, representing abnormal sensor readings, relationships to specific CPS components, and temporal sequencing of events is constructed. Severity scores are calculated, and severity rankings are assigned to identified anomalies based on a composite index including impact on CPS operation, comparison with historical incident data, and predictive risk assessments. Probable root causes of incidents and pathways for anomaly propagation through the CPS are identified using causal interference and the incident timeline graph to detect underlying vulnerabilities and predict future system weaknesses. Recommended actions are generated and executed for incident resolution and system optimization.

公开(公告)号：US12111189B2

公开(公告)日：2024-10-08

申请号：US17221822

申请日：2021-04-04

Applicant: NEC Laboratories America, Inc.

Inventor： Ming-Fang Huang ,  Ting Wang ,  Shaobo Han

IPC: G01D5/353 ,  G01H9/00 ,  G06V20/58 ,  G08B21/18

CPC classification number: G01D5/353 ,  G01D5/35361 ,  G01D5/35364 ,  G01H9/004 ,  G06V20/58 ,  G08B21/18

Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that advantageously identify location(s) of construction—or other activities—taking place along fiber optic cable routes that can damage the fiber optic cables.

公开(公告)号：US20240314531A1

公开(公告)日：2024-09-19

申请号：US18605105

申请日：2024-03-14

Applicant: NEC Laboratories America, Inc.

Inventor： Kunal Rao ,  Murugan Sankaradas ,  Giuseppe Coviello ,  Wang-pin Hsiung ,  Srimat Chakradhar ,  Ciro Giuseppe DeVita ,  Gennaro Mellone

IPC: H04W4/50 ,  H04W24/02 ,  H04W72/52

CPC classification number: H04W4/50 ,  H04W24/02 ,  H04W72/52

Abstract: Systems and methods are provided for deploying applications within a wireless network infrastructure, including initiating, by a centralized control module in a pre-configured hardware unit having a 5G wireless communication module, edge computing device, centralized control module, and data processing module with access to cloud resources, a setup procedure upon receiving a deployment command, the setup procedure including activating the 5G wireless communication module to establish a network connection. User equipment for communication with sensors and cameras is deployed using an edge device through the network connection. Application deployment is managed using a centralized control module including an edge cloud optimizer for allocating resources between an edge computing device and the cloud resources based on real-time analysis of network conditions and application requirements. Computing resource allocation between the edge computing device and cloud resources is dynamically adjusted for application requirements and network conditions during automated application deployment and optimization.