公开(公告)号：US20160315704A1

公开(公告)日：2016-10-27

申请号：US15138184

申请日：2016-04-25

Applicant: NEC Laboratories America, Inc.

Inventor： Ivan DJORDJEVIC ,  Ting WANG

IPC: H04B10/25 ,  H03M13/11 ,  H04L1/00

CPC classification number: H04L1/0058 ,  H03M13/1102 ,  H04B10/516 ,  H04L1/0041 ,  H04L1/0057

Abstract: A low-density parity-check (LDPC) coded bit-interleaved coded modulation with iterative decoding (BICM-ID) scheme with nonuniform signaling which is effected by mapping simple variable-length prefix codes onto the constellation. By employing Huffman procedure(s), prefix codes can be designed to approach optimal performance. Experimental evaluations of the schemes demonstrate that the nonuniform scheme performs better than 8-QAM by at least 8.8 dB.

Abstract translation: 具有不均匀信令的迭代解码（BICM-ID）方案的低密度奇偶校验（LDPC）编码比特交织编码调制，其通过将简单的可变长度前缀码映射到星座上来实现。 通过采用霍夫曼程序，可以设计前缀码来达到最佳性能。 这些方案的实验评估表明，不均匀方案比8-QAM优于至少8.8dB。

公开(公告)号：US20140208185A1

公开(公告)日：2014-07-24

申请号：US14162951

申请日：2014-01-24

Applicant: NEC LABORATORIES AMERICA, INC.

Inventor： Ivan B. DJORDJEVIC ,  Ting WANG

IPC: G06F11/10

CPC classification number: G06F11/10 ,  H03M13/033 ,  H03M13/112 ,  H03M13/116 ,  H03M13/1171 ,  H03M13/1177 ,  H03M13/255 ,  H04L1/0009

Abstract: Systems and methods for data transport include encoding one or more streams of input data using one or more Quasi-Cyclic Low Density Parity Check (QC-LDPC) encoders; controlling irregularity of the QC-LDPC encoded data while preserving the quasi-cyclic nature of the LDPC encoded data and eliminating the error floor phenomenon. A parity-check matrix may be partially reconfigured to adapt one or more code rates; and one or more signals are generated using a mapper, wherein the output of the mapper is modulated onto a transmission medium. One or more streams of input data are received, and the streams are decoded using one or more QC-LDPC decoders.

Abstract translation: 用于数据传输的系统和方法包括使用一个或多个准循环低密度奇偶校验（QC-LDPC）编码器来编码一个或多个输入数据流; 控制QC-LDPC编码数据的不规则性，同时保留LDPC编码数据的准循环性质并消除错误出现现象。 可以部分地重新配置奇偶校验矩阵以适应一个或多个码率; 并且使用映射器生成一个或多个信号，其中映射器的输出被调制到传输介质上。 接收一个或多个输入数据流，并且使用一个或多个QC-LDPC解码器解码流。

公开(公告)号：US20250130076A1

公开(公告)日：2025-04-24

申请号：US18901690

申请日：2024-09-30

Applicant: NEC Laboratories America, Inc.

Inventor： Jian FANG ,  Ting WANG ,  Junyi YE

IPC: G01D5/353 ,  G01D5/347

Abstract: Disclosed are systems, methods, and structures that mitigate accumulative error in relative-measurement DFOS by employing, for each segment of the DFOS arrangement that records a certain number of an earlier estimation of each spatial segment. A predictive model in each buffer learns trends from the recorded history and predicts an output from the previous history. The reference is also updated using the prediction from the buffer. Systems, methods, and structures according to the present disclosure include the buffer structure that records a certain number of earlier estimations for each segment, a predictive model in each buffer that predicts the output of each segment according to the earlier estimations, reference updates using the prediction from the buffer tracker and workflow of real-time data processing with the buffer structure and tracker.

公开(公告)号：US20250124528A1

公开(公告)日：2025-04-17

申请号：US18901664

申请日：2024-09-30

Applicant: NEC Laboratories America, Inc.

Inventor： Yangmin DING ,  Ting WANG ,  Zhuocheng JIANG ,  Yue TIAN ,  Sarper OZHARAR

IPC: G06Q50/06 ,  H02J3/00 ,  H02S50/00

Abstract: Disclosed are twin-based systems and methods for predicting solar power generation and optimizing power generation and distribution processes. Employed are a digital twin model of a solar power plant, which includes detailed representations of various components, such as solar panels, inverters, and transformers, as well as real-time weather data and historical data. This advantageously allows for accurate simulations of plant performance under various weather conditions and operational scenarios. Our systems and methods Incorporate novel machine learning algorithms that are trained on historical and real-time data from the digital twin model, weather data, solar power generation data, and other relevant factors. These algorithms utilize an advanced ensemble learning approach, which combines multiple predictive models, such as deep learning, support vector machines, and decision trees, to achieve higher accuracy and robustness in predicting solar power generation

公开(公告)号：US20250124345A1

公开(公告)日：2025-04-17

申请号：US18759965

申请日：2024-06-30

Applicant: NEC Laboratories America, Inc.

Inventor： Jian FANG ,  Ting WANG ,  Junyi YE

IPC: G06N20/00

Abstract: Disclosed are systems, methods, and structures that provide more accurate temperature measurements and/or derived measurements using distributed fiber optic sensing (DFOS) systems and methods. DFOS systems and methods according to aspects of the present disclosure employ distributed fiber optic sensing that determines real-time temperature changes and vehicle trajectories from two-dimensional (2D) DFOS data with very few labeled data. The 2D data is first divided into multiple grids and then pre-processed with image distortion methods to enrich diversity of temperature change patterns. The transformed grids are used to pre-train a masked autoencoder, which advantageously does not require labels. The encoder of the autoencoder learns intrinsic features of temperature and traffic patterns, which are later connected to an estimation network to solve downstream tasks trained on a small set of labeled data.

公开(公告)号：US20240245328A1

公开(公告)日：2024-07-25

申请号：US18418332

申请日：2024-01-21

Applicant: NEC Laboratories America, Inc.

Inventor： Sarper OZHARAR ,  Thomas FERREIRA de LIMA ,  Yue TIAN ,  Wataru KOHNO ,  Ting WANG

IPC: A61B5/1455 ,  A61B5/00

CPC classification number: A61B5/14552 ,  A61B5/742 ,  A61B2560/0431 ,  A61B2560/0468 ,  A61B2562/0219

Abstract: An improved near-infrared spectroscopy (NIRS) based handheld tissue oxygenation scanner employing a single transmitter-receiver pair, an integral inertial measurement sensor, an optional optical tracker, and wireless communications. Operational coordination among/between the elements are performed by a processor. The NIRS scanner device has a small foot print and permits the use of only a single transmitter/receiver pair to scan a large area of tissue manually, in real-time. Additional features and advantages of include battery power, hand held, may connect to a variety of computing devices via BlueTooth and/or WiFi, and may be modified to employ multiple transmitter/receivers to improve sensitivity and obtain absolute measurements.

公开(公告)号：US20240118116A1

公开(公告)日：2024-04-11

申请号：US18311881

申请日：2023-05-03

Applicant: NEC LABORATORIES AMERICA, INC.

Inventor： Philip JI ,  Christopher White ,  Ting WANG

IPC: G01D5/353

CPC classification number: G01D5/35358

Abstract: A flexible, rapid deployable perimeter monitoring system and method that employs distributed fiber optic sensing (DFOS) technologies and includes a deployment/operations field vehicle including an interrogator and analyzer/processor. The deployment/operations field vehicle is configured to field deploy a ruggedized fiber optic sensor cable in an arrangement that meets a specific application need, and subsequently interrogate/sense via DFOS any environmental conditions affecting the deployed fiber optic sensor cable. Such sensed conditions include mechanical vibration, acoustic, and temperature that may be advantageously sensed/evaluated/analyzed in the deployment/operations vehicle and subsequently communicated to a central location for further evaluation and/or coordination with other monitoring systems. Upon completion, the field vehicle and DFOS reconfigure a current location or redeployed to another location.

公开(公告)号：US20240102833A1

公开(公告)日：2024-03-28

申请号：US18367593

申请日：2023-09-13

Applicant: NEC Laboratories America, Inc.

Inventor： Shaobo HAN ,  Yuheng CHEN ,  Ming-Fang HUANG ,  Ting WANG ,  Alexander BUKHARIN

IPC: G01D5/353

CPC classification number: G01D5/35361

Abstract: A DFOS system and machine learning method that automatically localizes manholes, which forms a key step in a fiber optic cable mapping process. Our system and method utilize weakly supervised learning techniques to predict manhole locations based on ambient data captured along the fiber optic cable route. To improve any non-informative ambient data, we employ data selection and label assignment strategies and verify their effectiveness extensively in a variety of settings, including data efficiency and generalizability to different fiber optic cable routes. We describe post-processing steps that bridge the gap between classification and localization and combining results from multiple predictions.

公开(公告)号：US20230375342A1

公开(公告)日：2023-11-23

申请号：US18319463

申请日：2023-05-17

Applicant: NEC Laboratories America, Inc.

Inventor： Sarper OZHARAR ,  Ting WANG ,  Yue TIAN ,  Yangmin DING

IPC: G01C5/06 ,  G01K11/3206

CPC classification number: G01C5/06 ,  G01K11/3206

Abstract: Disclosed are systems and methods to determine barometric pressure 1) using multiple low-cost pressure sensors located at known heights instead of a single high-cost sensor; 2) determines an actual pressure value—not by averaging multiple sensors but rather optimizing an expected error in each individual one of them and utilize their known sensor heights thereby defining a new error function; 3) our approach is scalable, i.e. the number of sensors can be increased, and multiple sensors can be grouped together into smaller cells such that each group of cell can be corrected separately, and can even be corrected among themselves. Finally, our systems and methods according to the present disclosure can advantageously be integrated with a distributed fiber optic sensing (DFOS) system via acoustic modems thereby providing extremely wide-area external, or interior buildings pressure readings.

公开(公告)号：US20230370753A1

公开(公告)日：2023-11-16

申请号：US18317035

申请日：2023-05-12

Applicant: NEC Laboratories America, Inc.

Inventor： Sarper OZHARAR ,  Yue TIAN ,  Yangmin DING ,  Zuocheng JIANG ,  Ting WANG

IPC: H04Q9/00

CPC classification number: H04Q9/00 ,  H04Q2209/886

Abstract: An acoustic modem for operating with a distributed fiber optic sensing (DFOS) system that generates acoustic signals that are detected by the DFOS system. The acoustic modem is powered by energy harvesters includes one or more sensors that detect environmental information that is encoded in the acoustic signals for further reception by the DFOS system. The acoustic modem may include several vibrator elements that provide a vibration signals imparted on the DFOS system fiber sensor.