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121.发明申请公开(公告)号：US20210312802A1
公开(公告)日：2021-10-07
申请号：US17221836
申请日：2021-04-04
Applicant: NEC Laboratories America, Inc.
Inventor： Yueheng CHEN , Ming-Fang HUANG , Ting WANG , Jingnan ZHAO
Abstract: An advance in the art is made according to aspects of the present disclosure directed to distributed fiber optic sensing systems (DFOS), methods, and structures that advantageously monitor and identify—in real-time—roadway traffic and patterns across a multiple-lane highway by employing a multiple-transverse fiber optic cable arrangement of optical fiber cable positioned under the highway/roadway to detect, monitor, and/or identify traffic.
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公开(公告)号：US20210312801A1
公开(公告)日：2021-10-07
申请号：US17221814
申请日：2021-04-04
Applicant: NEC Laboratories America, Inc.
Inventor： Philip JI , Eric COSATTO , Ting WANG
Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that advantageously provide traffic monitoring. and traffic management which improves the safety and efficiency of a roadway.
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公开(公告)号：US20210312773A1
公开(公告)日：2021-10-07
申请号：US17197403
申请日：2021-03-10
Applicant: NEC Laboratories America, Inc.
Inventor： Biplob Debnath , Srimat Chakradhar , M. Ashraf Siddiquee
IPC: G08B13/196 , G06K9/00 , G06F16/783 , G06F16/78 , G08B23/00
Abstract: Methods and systems for detecting and predicting anomalies include processing frames of a video stream to determine values of a feature corresponding to each frame. A feature time series is generated that corresponds to values of the identified feature over time. A matrix profile is generated that identifies similarities of sub-sequences of the time series to other sub-sequences of the feature time series. An anomaly is detected by determining that a value of the matrix profile exceeds a threshold value. An automatic action is performed responsive to the detected anomaly.
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公开(公告)号：US20210311504A1
公开(公告)日：2021-10-07
申请号：US17220046
申请日：2021-04-01
Applicant: NEC Laboratories America, Inc.
Inventor： Eugene Chai , Karthikeyan Sundaresan , Sampath Rangarajan
Abstract: Systems and methods for automatically constructing a 3-dimensional (3D) model of a feature using a drone. The method includes generating a reconnaissance flight path that minimizes battery usage by the drone, and conducting a discovery flight that uses the reconnaissance flight path. The method further includes transmitting reconnaissance laser sensor data from the drone to a processing system for target identification, and selecting a target feature for 3D model construction based on the reconnaissance laser sensor data. The method further includes scanning the target feature using a laser sensor, transmitting laser sensor data for the target feature having a minimum point density from the drone to the processing system for 3D model construction, and constructing the 3D model from the minimum point density laser sensor data.
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公开(公告)号：US11132248B2
公开(公告)日：2021-09-28
申请号：US16673144
申请日：2019-11-04
Applicant: NEC Laboratories America, Inc.
Inventor： Jianwu Xu , Haifeng Chen
Abstract: A method for implementing automated information technology (IT) system failure recommendation and mitigation includes performing log pattern learning to automatically generate sparse time series for each log pattern for a set of classification logs corresponding to a failure, performing multivariate log time series extraction based on the log pattern learning to generate a failure signature for the set of classification logs, including representing the sparse time series as a run-length encoded sequence for efficient storage and computation, calculating a similarity distance between the failure signature for the set of classification logs and each failure signature from a failure signature model file, determining a failure label for the failure corresponding to a most similar known failure based on the similarity distance, and initiating failure mitigation based on the failure label.
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Patent Agency Ranking
公开(公告)号：US20210294993A1
公开(公告)日：2021-09-23
申请号：US17202854
申请日：2021-03-16
Applicant: NEC Laboratories America, Inc.
Inventor： Karthikeyan Sundaresan , Eugene Chai , Sampath Rangarajan , Mohammad Rostami
IPC: G06K7/10
Abstract: A method for product tagging is presented including emitting, by at least one RF backscatter transmitter, a dual-tone Radio Frequency (RF) signal embedded within a standardized RF signal on a frequency channel, reflecting and frequency shifting, by a passive RF backscatter tag associated with a product, the dual-tone RF signal to a different frequency channel, and reading, by at least one RF backscatter receiver, the product on the different frequency channel by detecting a distributed ambient backscatter signal generated by a reflection and frequency shifting of the dual-tone RF signal by the passive RF backscatter tag.
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公开(公告)号：US20210279845A1
公开(公告)日：2021-09-09
申请号：US17182685
申请日：2021-02-23
Applicant: NEC Laboratories America, Inc.
Inventor： Min Feng , Srimat Chakradhar , Alper Yildirim
Abstract: A computer-implemented method executed by at least one processor for reducing radial distortion errors in fish-eye images is presented. The method includes capturing an image from a camera including distortions, detecting arc-shaped edge segments in the image including the distortions, estimating a main distortion parameter by fixing a distortion centerpoint in a middle of the image, estimating the distortion centerpoint with the main distortion parameter, and obtaining an undistorted version of the captured image by inverting the distortion model.
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公开(公告)号：US20210279471A1
公开(公告)日：2021-09-09
申请号：US17188194
申请日：2021-03-01
Applicant: NEC Laboratories America, Inc.
Inventor： Yi Yang , Biplob Debnath , Giuseppe Coviello , Oliver Po , Srimat Chakradhar , Yang Gao
Abstract: A computer-implemented method executed by at least one processor for detecting tattoos on a human body is presented. The method includes inputting a plurality of images into a tattoo detector, selecting one or more images of the plurality of images including tattoos, extracting, via a feature extractor, tattoo feature vectors from the tattoos found in the one or more images of the plurality of images including tattoos, applying a deep learning tattoo matching model to determine potential matches between the tattoo feature vectors and preexisting tattoo images stored in a tattoo training database, and generating a similarity score between the tattoo feature vectors and one or more of the preexisting tattoo images stored in the tattoo training database.
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公开(公告)号：US11087199B2
公开(公告)日：2021-08-10
申请号：US15789614
申请日：2017-10-20
Applicant: NEC Laboratories America, Inc.
Inventor： Renqiang Min , Asim Kadav , Huayu Li
Abstract: A context-aware attention-based neural network is provided for answering an input question given a set of purportedly supporting statements for the input question. The neural network includes a processing element. The processing element is configured to calculate a question representation for the input question, based on word annotations and word-level attentions calculated for the input question. The processing element is further configured to calculate a sentence representation for each of the purportedly supporting statements, based on word annotations and word-level attentions calculated for each of the purportedly supporting statements. The processing element is also configured to calculate a context representation for the set of purportedly supporting statements with respect to the sentence representation for each of the purportedly supporting statements. The processing element is additionally configured to generate an answer to the input question based on the question representation and the context representation.
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公开(公告)号：US11087174B2
公开(公告)日：2021-08-10
申请号：US16580497
申请日：2019-09-24
Applicant: NEC Laboratories America, Inc.
Inventor： Renqiang Min , Kai Li , Bing Bai , Hans Peter Graf
Abstract: A method is provided for visual inspection. The method includes learning, by a processor, group disentangled visual feature embedding vectors of input images. The input images include defective objects and defect-free objects. The method further includes generating, by the processor using a weight generation network, classification weights from visual features and semantic descriptions. Both the visual features and the semantic descriptions are for predicting defective and defect-free labels. The method also includes calculating, by the processor, a cosine similarity score between the classification weights and the group disentangled visual feature embedding vectors. The method additionally includes episodically training, by the processor, the weight generation network on the input images to update parameters of the weight generation network. The method further includes generating, by the processor using the trained weight generation network, a prediction of a test image as including any of defective objects and defect-free objects.
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