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    ESTIMATING USEFUL LIFE
    591.
    发明申请
    ESTIMATING USEFUL LIFE 有权

    公开(公告)号：US20210232917A1

    公开(公告)日：2021-07-29

    申请号：US17157270

    申请日：2021-01-25

    Applicant: NEC Laboratories America, Inc.

    Inventor： Masanao Natsumeda ,  Haifeng Chen

    IPC: G06N3/08 ,  G06Q10/00 ,  G06N3/04

    Abstract: A computer-implemented method is provided for hardware management based on estimating a Remaining Useful Life (RUL) of an object. The method includes estimating the RUL at a time point preceding the RUL by two RUL estimation methods respectively applied to a first time series subsequence and a second time series subsequence from among an overall time series sequence. The first time series subsequence includes run-to-event data used in a first one of the two RUL estimation methods. The second time series subsequence is applied to a leaky truncated RUL function as a second one of the two RUL estimation methods to obtain a model for RUL estimation. The method further includes estimating the RULE at inference using the first one of the two RUL estimation methods. The method also includes selectively servicing or replacing the object with a replacement object responsive to the RUL.

    CONTROLLED TEXT GENERATION WITH SUPERVISED REPRESENTATION DISENTANGLEMENT AND MUTUAL INFORMATION MINIMIZATION
    594.
    发明申请
    CONTROLLED TEXT GENERATION WITH SUPERVISED REPRESENTATION DISENTANGLEMENT AND MUTUAL INFORMATION MINIMIZATION 有权

    公开(公告)号：US20210174213A1

    公开(公告)日：2021-06-10

    申请号：US17115464

    申请日：2020-12-08

    Applicant: NEC Laboratories America, Inc.

    Inventor： Renqiang Min ,  Christopher Malon ,  Pengyu Cheng

    IPC: G06N3/08 ,  G06F40/20

    Abstract: A computer-implemented method is provided for disentangled data generation. The method includes accessing, by a bidirectional Long Short-Term Memory (LSTM) with a multi-head attention mechanism, a dataset including a plurality of pairs each formed from a given one of a plurality of input text structures and given one of a plurality of style labels for the plurality of input text structures. The method further includes training the bidirectional LSTM as an encoder to disentangle a sequential text input into disentangled representations comprising a content embedding and a style embedding based on a subset of the dataset. The method also includes training a unidirectional LSTM as a decoder to generate a next text structure prediction for the sequential text input based on previously generated text structure information and a current word, from a disentangled representation with the content embedding and the style embedding.

    INTERPRETABLE PREDICTION USING EXTRACTED TEMPORAL AND TRANSITION RULES
    595.
    发明申请
    INTERPRETABLE PREDICTION USING EXTRACTED TEMPORAL AND TRANSITION RULES 有权

    公开(公告)号：US20210133080A1

    公开(公告)日：2021-05-06

    申请号：US17072526

    申请日：2020-10-16

    Applicant: NEC Laboratories America, Inc.

    Inventor： Wei Cheng ,  Shuchu Han ,  Haifeng Chen

    IPC: G06F11/34 ,  G06F11/30 ,  G06F11/07

    Abstract: Methods and systems for detecting and responding to anomalous system behavior include detecting an anomaly in a cyber-physical system, based on a classification of time series information, from sensors that monitor the cyber-physical system, as being anomalous. A transition rule is extracted from the time series information to characterize a cause of the anomalous behavior, using a temporal gradient boosting tree. A corrective action is performed responsive to the detected anomaly, prioritized by the cause of the anomalous behavior.

    Network gateway spoofing detection and mitigation
    596.
    发明授权
    Network gateway spoofing detection and mitigation 有权

    公开(公告)号：US10999323B2

    公开(公告)日：2021-05-04

    申请号：US16101834

    申请日：2018-08-13

    Applicant: NEC Laboratories America, Inc.

    Inventor： Cristian Lumezanu ,  Nipun Arora ,  Haifeng Chen ,  Bo Zong ,  Daeki Cho ,  Mingda Li

    IPC: G06F21/00 ,  H04L29/06 ,  H04L12/733 ,  H04L12/26 ,  H04L12/741 ,  G06N20/00 ,  H04L12/751 ,  H04L12/893 ,  G06K9/62 ,  G06N3/08

    Abstract: Endpoint security systems and methods include a distance estimation module configured to calculate a travel distance between a source Internet Protocol (IP) address and an IP address for a target network endpoint system from a received packet received by a network gateway system based on time-to-live (TTL) information from the received packet. A machine learning model is configured to estimate an expected travel distance between the source IP address and the target network endpoint system IP address based on a sparse set of known source/target distances. A spoof detection module is configured to determine that the received packet has a spoofed source IP address based on a comparison between the calculated travel distance and the expected travel distance. A security module is configured to perform a security action at the network gateway system responsive to the determination that the received packet has a spoofed source IP address.

    Crowded RFID reading
    597.
    发明授权
    Crowded RFID reading 有权

    公开(公告)号：US10997488B2

    公开(公告)日：2021-05-04

    申请号：US16825395

    申请日：2020-03-20

    Applicant: NEC Laboratories America, Inc.

    Inventor： Mohammad Khojastepour

    IPC: H04Q5/22 ,  G06K19/077 ,  G06K7/10 ,  H01Q1/22 ,  H04W4/35 ,  G06K19/067

    Abstract: A product tagging system is provided. The product tagging system includes at least one RF backscatter transmitter configured to emit a Radio Frequency (RF) signal on a frequency. The product tagging system further includes a plurality of passive RF backscatter tags, each associated with a respective product and configured to reflect and frequency shift the RF signal to a respective different frequency. The product tagging system also includes at least one RF backscatter receiver configured to read the respective product on the respective different frequency by detecting a distributed ambient backscatter signal generated by a reflection and frequency shifting of the RF signal by a corresponding one of the plurality of passive RF backscatter tags.

    OPTICAL NETWORK PERFORMANCE EVALUATION USING A HYBRID NEURAL NETWORK
    599.
    发明申请
    OPTICAL NETWORK PERFORMANCE EVALUATION USING A HYBRID NEURAL NETWORK 有权

    公开(公告)号：US20210111794A1

    公开(公告)日：2021-04-15

    申请号：US17106143

    申请日：2020-11-29

    Applicant: NEC Laboratories America, Inc.

    Inventor： Yue-Kai HUANG ,  Shaoliang ZHANG ,  Ezra IP ,  Jiakai YU

    IPC: H04B10/079 ,  G06N3/04

    Abstract: Aspects of the present disclosure describe systems, methods. and structures in which a hybrid neural network combining a CNN and several ANNs are shown useful for predicting G-ONSR for Ps-256QAM raw data in deployed SSMF metro networks with 0.27 dB RMSE. As demonstrated, the CNN classifier is trained with 80.96% testing accuracy to identify channel shaping factor. Several ANN regression models are trained to estimate G-OSNR with 0.2 dB for channels with various constellation shaping. Further aspects include the tuning of existing optical networks and the characterization of retrofit/upgraded optical networks to estimate capacity—both aspects employing our inventive hybrid neural network methodology.

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