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    Early anomaly prediction on multi-variate time series data
    111.
    发明授权
    Early anomaly prediction on multi-variate time series data 有权

    公开(公告)号：US11204602B2

    公开(公告)日：2021-12-21

    申请号：US16433206

    申请日：2019-06-06

    Applicant: NEC Laboratories America, Inc.

    Inventor： Wei Cheng ,  Haifeng Chen ,  Masanao Natsumeda

    IPC: G05B23/02 ,  G06N3/04 ,  G06F17/16 ,  G06K9/62 ,  G06N3/08

    Abstract: Systems and methods for early anomaly prediction on multi-variate time series data are provided. The method includes identifying a user labeled abnormal time period that includes at least one anomaly event. The method also includes determining a multi-variate time series segment of multivariate time series data that occurs before the user labeled abnormal time period, and treating, by a processor device, the multi-variate time series segment to include precursor symptoms of the at least one anomaly event. The method includes determining instance sections from the multi-variate time series segment and determining at least one precursor feature vector associated with the at least one anomaly event for at least one of the instance sections based on applying long short-term memory (LSTM). The method further includes dispatching predictive maintenance based on the at least one precursor feature vector.

    FREE FLOW FEVER SCREENING
    112.
    发明申请
    FREE FLOW FEVER SCREENING 有权

    公开(公告)号：US20210378520A1

    公开(公告)日：2021-12-09

    申请号：US17325613

    申请日：2021-05-20

    Applicant: NEC Laboratories America, Inc.

    Inventor： Kunal Rao ,  Giuseppe Coviello ,  Min Feng ,  Biplob Debnath ,  Wang-pin Hsiung ,  Murugan Sankaradas ,  Srimat Chakradhar ,  Yi Yang ,  Oliver Po ,  Utsav Drolia

    IPC: A61B5/01 ,  A61B5/00

    Abstract: A method for free flow fever screening is presented. The method includes capturing a plurality of frames from thermal data streams and visual data streams related to a same scene to define thermal data frames and visual data frames, detecting and tracking a plurality of individuals moving in a free-flow setting within the visual data frames, and generating a tracking identification for each individual of the plurality of individuals present in a field-of-view of the one or more cameras across several frames of the plurality of frames. The method further includes fusing the thermal data frames and the visual data frames, measuring, by a fever-screener, a temperature of each individual of the plurality of individuals within and across the plurality of frames derived from the thermal data streams and the visual data streams, and generating a notification when a temperature of an individual exceeds a predetermined threshold temperature.

    Teaching syntax by adversarial distraction
    113.
    发明授权
    Teaching syntax by adversarial distraction 有权

    公开(公告)号：US11194974B2

    公开(公告)日：2021-12-07

    申请号：US16522742

    申请日：2019-07-26

    Applicant: NEC Laboratories America, Inc.

    Inventor： Christopher Malon ,  Asim Kadav ,  Juho Kim

    IPC: G10L15/00 ,  G10L15/28 ,  G06F17/00 ,  G06F40/40 ,  G06N3/08

    Abstract: A computer-implemented method and system are provided for teaching syntax for training a neural network based natural language inference model. The method includes selectively performing, by the hardware processor, person reversal on a set of hypothesis sentences, based on person reversal prevention criteria, to obtain a first training data set. The method further includes enhancing, by the hardware processor, a robustness of the neural network based natural language inference model to syntax changes by training the neural network based natural language inference model on original training data combined with the first data set.

    INTERACTIVE BEAM ALIGNMENT WITH DELAYED FEEDBACK
    114.
    发明申请
    INTERACTIVE BEAM ALIGNMENT WITH DELAYED FEEDBACK 有权

    公开(公告)号：US20210376906A1

    公开(公告)日：2021-12-02

    申请号：US17331078

    申请日：2021-05-26

    Applicant: NEC Laboratories America, Inc.

    Inventor： Mohammad Khojastepour ,  Shahram Shahsavari

    IPC: H04B7/06 ,  H04W72/04 ,  H04B7/0408

    Abstract: Methods for transmitting data include sending a first probing packet using a first scanning beam, selected from a set of scanning beams. Feedback about the first probing packet is determined. A second probing packet is sent using a second scanning beam, selected from the set of scanning beams based on the determined feedback about the first probing packet. Feedback about the second probing packet is determined. A data transmission beam is determined based on the set of scanning beams and the received feedback about the first probing packet and the second probing packet. Data is transmitted using an antenna that is configured according to the determined transmission beam.

    FAULT DETECTION IN CYBER-PHYSICAL SYSTEMS
    117.
    发明申请
    FAULT DETECTION IN CYBER-PHYSICAL SYSTEMS 有权

    公开(公告)号：US20210350232A1

    公开(公告)日：2021-11-11

    申请号：US17241430

    申请日：2021-04-27

    Applicant: NEC Laboratories America, Inc.

    Inventor： LuAn Tang ,  Haifeng Chen ,  Wei Cheng ,  Junghwan Rhee ,  Jumpei Kamimura

    IPC: G06N3/08 ,  G06N3/04 ,  G07C5/08

    Abstract: Methods and systems for training a neural network model include processing a set of normal state training data and a set of fault state training data to generate respective normal state inputs and fault state inputs that each include data features and sensor correlation graph information. A neural network model is trained, using the normal state inputs and the fault state inputs, to generate a fault score that provides a similarity of an input to the fault state training data and an anomaly score that provides a dissimilarity of the input to the normal state training data.

    PEPTIDE-BASED VACCINE GENERATION SYSTEM
    118.
    发明申请
    PEPTIDE-BASED VACCINE GENERATION SYSTEM 有权

    公开(公告)号：US20210319847A1

    公开(公告)日：2021-10-14

    申请号：US17197166

    申请日：2021-03-10

    Applicant: NEC Laboratories America, Inc.

    Inventor： Renqiang Min ,  Wenchao Yu ,  Hans Peter Graf ,  Igor Durdanovic

    IPC: G16B15/30 ,  G16B40/00 ,  G06N3/08 ,  G06N3/04

    Abstract: A method is provided for peptide-based vaccine generation. The method receives a dataset of positive and negative binding peptide sequences. The method pre-trains a set of peptide binding property predictors on the dataset to generate training data. The method trains a Wasserstein Generative Adversarial Network (WGAN) only on the positive binding peptide sequences, in which a discriminator of the WGAN is updated to distinguish generated peptide sequences from sampled positive peptide sequences from the training data, and a generator of the WGAN is updated to fool the discriminator. The method trains the WGAN only on the positive binding peptide sequences while simultaneously updating the generator to minimize a kernel Maximum Mean Discrepancy (MMD) loss between the generated peptide sequences and the sampled peptide sequences and maximize prediction accuracies of a set of pre-trained peptide binding property predictors with parameters of the set of pre-trained peptide binding property predictors being fixed.

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