公开(公告)号：US20210374468A1

公开(公告)日：2021-12-02

申请号：US17330832

申请日：2021-05-26

Applicant: NEC Laboratories America, Inc.

Inventor： Manmohan Chandraker ,  Ting Wang ,  Xiang Xu ,  Francesco Pittaluga ,  Gaurav Sharma ,  Yi-Hsuan Tsai ,  Masoud Faraki ,  Yuheng Chen ,  Yue Tian ,  Ming-Fang Huang ,  Jian Fang

IPC: G06K9/62 ,  G06T3/00

Abstract: Methods and systems for training a neural network include generate an image of a mask. A copy of an image is generated from an original set of training data. The copy is altered to add the image of a mask to a face detected within the copy. An augmented set of training data is generated that includes the original set of training data and the altered copy. A neural network model is trained to recognize masked faces using the augmented set of training data.

公开(公告)号：US20190195789A1

公开(公告)日：2019-06-27

申请号：US16219136

申请日：2018-12-13

Applicant: NEC Laboratories America, Inc.

Inventor： Da Pan ,  Yue Tian ,  Ming-Fang Huang

IPC: G01N21/39 ,  G01J3/433 ,  G01N21/27

CPC classification number: G01J3/433 ,  G01J3/4338 ,  G01N21/274 ,  G01N21/39 ,  G01N2021/399 ,  G01N2201/127

Abstract: A computer-implemented method for measuring gas concentration from a 2f signal in wavelength modulation spectroscopy is presented. The computer-implemented method includes emitting a beam of light from a laser to pass through a gas sample, calculating a gas measurement value from the gas sample via a trough distance calculator using a trough distance of a gas absorption line's 2f signal, calibrating the gas measurement value via a multi-point calibration process, and outputting the gas measurement value to a user interface of a computing device.

公开(公告)号：US20150294562A1

公开(公告)日：2015-10-15

申请号：US14683210

申请日：2015-04-10

Applicant: NEC Laboratories America, Inc.

Inventor： Yue Tian ,  Akihiro Tanaka

IPC: G08C23/06 ,  H04Q9/00 ,  H04L12/24 ,  H04Q11/00 ,  H04L12/26

CPC classification number: G08C23/06 ,  H04J14/0221 ,  H04J14/0282 ,  H04L41/0813 ,  H04L43/0864 ,  H04L43/12 ,  H04Q9/00 ,  H04Q11/0067 ,  H04Q2011/0026 ,  H04Q2011/0083

Abstract: The invention uses a point-to-multi-point (P2MP) discovery process conducted in a passive optical network PON system to identify each sensor that returns a probe pulse identified with a respective sensor without adding any equipment at the remote sensors. The sensors provide with the returned signal information indicative of measured gas leakage in the air in the sensor.

Abstract translation: 本发明使用在无源光网络PON系统中进行的点到多点（P2MP）发现过程来识别返回在各个传感器识别的探测脉冲的每个传感器，而不在远程传感器上增加任何设备。 传感器提供指示传感器中空气中测得的气体泄漏的返回信号信息。