公开(公告)号：US20230153182A1

公开(公告)日：2023-05-18

申请号：US17964170

申请日：2022-10-12

Applicant: NEC Laboratories America, Inc.

Inventor： Giuseppe Coviello ,  Kunal Rao ,  Biplob Debnath ,  Srimat Chakradhar

IPC: G06F9/54 ,  G06F9/50

CPC classification number: G06F9/543 ,  G06F9/505

Abstract: A method for implementing application self-optimization in serverless edge computing environments is presented. The method includes requesting deployment of an application pipeline on data received from a plurality of sensors, the application pipeline including a plurality of microservices, enabling communication between a plurality of pods and a plurality of analytics units (AUs), each pod of the plurality of pods including a sidecar, determining whether each of the plurality of AUs maintains any state to differentiate between stateful AUs and stateless AUs, scaling the stateful AUs and the stateless AUs, enabling communication directly between the sidecars of the plurality of pods, and reusing and resharing common AUs of the plurality of AUs across different applications.

公开(公告)号：US20230152151A1

公开(公告)日：2023-05-18

申请号：US17987822

申请日：2022-11-15

Applicant: NEC Laboratories America, Inc.

Inventor： Yaowen LI ,  Jian FANG ,  Shuj MURAKAMI ,  Philip JI ,  Ting WANG

IPC: G01H9/00 ,  G01D5/353

CPC classification number: G01H9/004 ,  G01D5/35361

Abstract: Systems, methods, and structures for colorless distributed fiber optic sensing/distributed vibration sensing (DOFS/DVS) over dense wavelength division multiplexing (DWDM) telecommunications facilities that operate over a C-band wavelength range spanning from 1525 nm to 1565 nm wherein the DOFS/DVS systems exhibit suitable reconfigurability of its wavelength to match a wavelength of a desired testing channel and may advantageously provide DOFS/DVS capabilities to existing DWDM communications infrastructure as a retrofit. Colorless DFOS/DVS systems according to the present disclosure include a length of optical sensor fiber; a colorless DFOS/DVS interrogator in optical communication with the optical sensor fiber, said colorless DFOS/DVS interrogator configured to generate optical pulses, introduce the generated pulses into the length of optical sensor fiber, and receive backscattered signals from the length of the optical sensor fiber; and an intelligent analyzer configured to analyze colorless DFOS/DVS data received by the DFOS/DVS interrogator and determine from the backscattered signals, vibrational activity occurring at locations along the length of the optical sensor fiber.

公开(公告)号：US11650351B2

公开(公告)日：2023-05-16

申请号：US17165515

申请日：2021-02-02

Applicant: NEC Laboratories America, Inc.

Inventor： Yanchi Liu ,  Jingchao Ni ,  Bo Zong ,  Haifeng Chen ,  Zhengzhang Chen ,  Wei Cheng ,  Denghui Zhang

IPC: G01W1/00 ,  G06N3/08 ,  G06N3/02 ,  G01W1/10 ,  G06N20/00 ,  G01W1/02 ,  G06N3/04 ,  G06N5/00 ,  G06N3/088

CPC classification number: G01W1/00 ,  G06N3/0454 ,  G06N3/08 ,  G01W1/02 ,  G01W1/10 ,  G01W2001/003 ,  G06N3/02 ,  G06N3/0445 ,  G06N3/088 ,  G06N5/003 ,  G06N20/00

Abstract: A method for employing a unified semi-supervised deep learning (DL) framework for turbulence forecasting is presented. The method includes extracting historical and forecasted weather features of a spatial region, calculating turbulence indexes to fill feature cubes, each feature cube representing a grid-based 3D region, and building an encoder-decoder framework based on convolutional long short-term memory (ConvLSTM) to model spatio-temporal correlations or patterns causing turbulence. The method further includes employing a dual label guessing component to dynamically integrate complementary signals from a turbulence forecasting network and a turbulence detection network to generate pseudo-labels, reweighing the generated pseudo-labels by a heuristic label quality detector based on KL-Divergence, applying a hybrid loss function to predict turbulence conditions, and generating a turbulence dataset including the predicted turbulence conditions.

公开(公告)号：US20230148017A1

公开(公告)日：2023-05-11

申请号：US17960370

申请日：2022-10-05

Applicant: NEC Laboratories America, Inc.

Inventor： Asim Kadav ,  Farley Lai ,  Hans Peter Graf ,  Honglu Zhou

IPC: G06V20/40 ,  G06V40/10 ,  G06V10/77 ,  G06V10/774

CPC classification number: G06V20/41 ,  G06V10/774 ,  G06V10/7715 ,  G06V20/46 ,  G06V20/49 ,  G06V40/10

Abstract: A method for compositional reasoning of group activity in videos with keypoint-only modality is presented. The method includes obtaining video frames from a video stream received from a plurality of video image capturing devices, extracting keypoints all of persons detected in the video frames to define keypoint data, tokenizing the keypoint data with time and segment information, clustering groups of keypoint persons in the video frames and passing the clustering groups through multi-scale prediction, and performing a prediction to provide a group activity prediction of a scene in the video frames.

公开(公告)号：US20230142932A1

公开(公告)日：2023-05-11

申请号：US17979755

申请日：2022-11-02

Applicant: NEC Laboratories America, Inc.

Inventor： Shaobo HAN ,  Ming-Fang HUANG ,  Yuheng CHEN ,  Ting WANG ,  Sheng ZHONG

IPC: G01D5/353 ,  G01H9/00

CPC classification number: G01D5/35358 ,  G01H9/004

Abstract: A method for underground cable localization by fast time series template matching and distributed fiber optic sensing (DFOS) includes: providing the DFOS system including a length of optical sensor fiber; a DFOS interrogator in optical communication with the optical sensor fiber, said DFOS interrogator configured to generate optical pulses, introduce the generated pulses into the length of optical sensor fiber, and receive backscattered signals from the length of the optical sensor fiber; and an intelligent analyzer configured to analyze DFOS data received by the DFOS interrogator and determine from the backscattered signals, vibrational activity occurring at locations along the length of the optical sensor fiber; deploying a programmable vibration generator to a field location proximate to the length of optical sensor fiber; transmitting to the programmable vibration generator a unique vibration pattern to be generated by the vibration generator; and operating the programmable vibration generator to generate the unique vibration pattern transmitted; and operating the DFOS system and collecting/analyzing the determined vibrational activity to further determine vibrational activity indicative of the unique vibration pattern generated by the vibration generator.

公开(公告)号：US11620492B2

公开(公告)日：2023-04-04

申请号：US16998280

申请日：2020-08-20

Applicant: NEC Laboratories America, Inc.

Inventor： Jiaping Gui ,  Zhengzhang Chen ,  Junghwan Rhee ,  Haifeng Chen ,  Pengyang Wang

IPC: G06N3/04

Abstract: Systems and methods for predicting road conditions and traffic volume is provided. The method includes generating a graph of one or more road regions including a plurality of road intersections and a plurality of road segments, wherein the road intersections are represented as nodes and the road segments are represented as edges. The method can also include embedding the nodes from the graph into a node space, translating the edges of the graph into nodes of a line graph, and embedding the nodes of the line graph into the node space. The method can also include aligning the nodes from the line graph with the nodes from the graph, and optimizing the alignment, outputting a set of node and edge representations that predicts the traffic flow for each of the road segments and road intersections based on the optimized alignment of the nodes.

公开(公告)号：US11619541B2

公开(公告)日：2023-04-04

申请号：US17227325

申请日：2021-04-11

Applicant: NEC Laboratories America, Inc.

Inventor： Sarper Ozharar ,  Ting Wang

IPC: G01H9/00 ,  G08G1/01 ,  G08G1/017

Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that advantageously enable and/or facilitate the continuous, real-time monitoring and identification vehicle speed, vehicle direction, vehicle axle width, vehicle type, total number of vehicle axles, and vehicle count. The DFOS sensing fiber is advantageously positioned underneath a roadway/highway in a novel arrangement/layout and temporal measurements are made to provide vehicle identification.

公开(公告)号：US20230081913A1

公开(公告)日：2023-03-16

申请号：US17903393

申请日：2022-09-06

Applicant: NEC Laboratories America, Inc.

Inventor： Yi-Hsuan Tsai ,  Bingbing Zhuang ,  Samuel Schulter ,  Buyu Liu ,  Sparsh Garg ,  Ramin Moslemi ,  Inkyu Shin

IPC: G06V10/80 ,  G01S17/89 ,  G06V10/776

Abstract: Systems and methods are provided for multi-modal test-time adaptation. The method includes inputting a digital image into a pre-trained Camera Intra-modal Pseudo-label Generator, and inputting a point cloud set into a pre-trained Lidar Intra-modal Pseudo-label Generator. The method further includes applying a fast 2-dimension (2D) model, and a slow 2D model, to the inputted digital image to apply pseudo-labels, and applying a fast 3-dimension (3D) model, and a slow 3D model, to the inputted point cloud set to apply pseudo-labels. The method further includes fusing pseudo-label predictions from the fast models and the slow models through an Inter-modal Pseudo-label Refinement module to obtain robust pseudo labels, and measuring a prediction consistency for the pseudo-labels. The method further includes selecting confident pseudo-labels from the robust pseudo labels and measured prediction consistencies to form a final cross-modal pseudo-label set as a self-training signal, and updating batch parameters utilizing the self-training signal.

公开(公告)号：US11604945B2

公开(公告)日：2023-03-14

申请号：US17128535

申请日：2020-12-21

Applicant: NEC Laboratories America, Inc.

Inventor： Yi-Hsuan Tsai ,  Kihyuk Sohn ,  Buyu Liu ,  Manmohan Chandraker ,  Jong-Chyi Su

IPC: G06K9/00 ,  G06K9/62 ,  B60W30/095 ,  B60W30/09 ,  B60W10/20 ,  B60W10/18 ,  B60W50/00 ,  G08G1/16 ,  G06N3/08 ,  G06V10/25 ,  G06V20/58 ,  G06V20/56

Abstract: Systems and methods for lane marking and road sign recognition are provided. The system aligns image level features between a source domain and a target domain based on an adversarial learning process while training a domain discriminator. The target domain includes one or more road scenes having lane markings and road signs. The system selects, using the domain discriminator, unlabeled samples from the target domain that are far away from existing annotated samples from the target domain. The system selects, based on a prediction score of each of the unlabeled samples, samples with lower prediction scores. The system annotates the samples with the lower prediction scores.

公开(公告)号：US11604943B2

公开(公告)日：2023-03-14

申请号：US16400376

申请日：2019-05-01

Applicant: NEC Laboratories America, Inc.

Inventor： Yi-Hsuan Tsai ,  Samuel Schulter ,  Kihyuk Sohn ,  Manmohan Chandraker

IPC: G06K9/62 ,  G06N3/08

Abstract: Systems and methods for domain adaptation for structured output via disentangled representations are provided. The system receives a ground truth of a source domain. The ground truth is used in a task loss function for a first convolutional neural network that predicts at least one output based on inputs from the source domain and a target domain. The system clusters the ground truth of the source domain into a predetermined number of clusters, and predicts, via a second convolutional neural network, a structure of label patches. The structure includes an assignment of each of the at least one output of the first convolutional neural network to the predetermined number of clusters. A cluster loss is computed for the predicted structure of label patches, and an adversarial loss function is applied to the predicted structure of label patches to align the source domain and the target domain on a structural level.