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公开(公告)号:US20210199512A1
公开(公告)日:2021-07-01
申请号:US16879876
申请日:2020-05-21
Applicant: NEC Laboratories America, Inc.
Inventor: Yaowen LI , Ming-Fang HUANG , Shuji MURAKAMI , Philip JI , Ting WANG
IPC: G01K11/324 , H04B10/50 , H04B10/2507
Abstract: Aspects of the present disclosure describe single mode fiber distributed temperature sensing (DTS) with improved noise characteristics employing superluminescent emitting diodes (SLEDs) and/or amplified spontaneous emission (ASE) light sources.
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42.
公开(公告)号:US20150043330A1
公开(公告)日:2015-02-12
申请号:US14307573
申请日:2014-06-18
Applicant: NEC Laboratories America, Inc.
Inventor: Junqiang HU , Yoshinobu OOTO , Kazuo TAKAGI , Yoshiaki AONO , Ting WANG
IPC: H04L12/939 , H04L12/721
CPC classification number: H04L49/557 , H04L45/1283 , H04L45/28 , H04L45/50 , H04L45/68 , H04L45/70 , H04L47/34
Abstract: A method and system are described for providing hitless protection in a packet switched network having source nodes and destination nodes. The method includes enabling a working path and a protecting path between the source and destination nodes. The working path is non-overlapping with respect to the protecting path. The method further includes replicating traffic in a given one of the source nodes to generate replicated traffic. The method also includes forwarding the traffic and the replicated traffic through a working path and a protecting path, respectively, from the given one of the source nodes to a particular one of the destination nodes. The method additionally includes delivering a hitless-protected service in the particular one of the destination nodes by selecting traffic packets received from either the working path or the protecting path.
Abstract translation: 描述了一种用于在具有源节点和目的地节点的分组交换网络中提供无中断保护的方法和系统。 该方法包括启用源节点和目的节点之间的工作路径和保护路径。 工作路径与保护路径不重叠。 该方法还包括在给定的一个源节点中复制业务以生成复制业务。 该方法还包括将业务和复制的业务分别通过工作路径和保护路径转发到从给定的一个源节点到目标节点的特定一个。 该方法还包括通过选择从工作路径或保护路径接收到的业务分组来递送目标节点中的特定一个节点中的无受保护的服务。
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公开(公告)号:US20250130349A1
公开(公告)日:2025-04-24
申请号:US18901719
申请日:2024-09-30
Applicant: NEC Laboratories America, Inc.
Inventor: Zhuocheng JIANG , Yangmin DING , Yue TIAN , Sarper OZHARAR , Ting WANG , Yanchao Wang
Abstract: Disclosed are systems, methods, and structures that provide superior DFOS rain intensity measurements and introduce a universal solution for rain intensity detection based on the data collected by distributed acoustic sensing (DAS) technology and a designed domain generalization method. As a result, systems and methods according to the present disclosure distinguish the rain intensity of a large area through which the fiber optic cables traverse and address the domain shift issue, by employing a domain generalization technique based on machine learning technology in which newly collected target domain inference data may be distributed differently from the previously captured training source domain data. To generalize the trained model to different target domains, source domain distributions are enriched by disturbing the distribution in the frequency domain. Algorithms specifically designed to transfer the noise pattern under ambient noise environments are used to further augment the source domain distributions.
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公开(公告)号:US20240302225A1
公开(公告)日:2024-09-12
申请号:US18598386
申请日:2024-03-07
Applicant: NEC Laboratories America, Inc.
Inventor: Philip JI , Ting WANG , Yaowen LI , Junqiang HU , Shuji MURAKAMI , Jian FANG
CPC classification number: G01K15/005 , G01K11/32
Abstract: Disclosed are vehicle-infrastructure interaction systems and methods employing a distributed fiber optic sensing (DFOS) system operating with pre-deployed fiber-optic telecommunication cables buried alongside/proximate to highways/roadways which provide 24/7 continuous information stream of vehicle traffic at multiple sites; only require a single optical sensor cable that senses/monitors multiple locations of interest and multiple lanes of traffic; the single optical sensor cable measures multiple related information (multi-parameters) about a vehicle, including driving speed, wheelbase, number of axles, tire pressure, and others, that can be used to derive secondary information such as weight-in-motion; and overall information about a fleet of vehicles, such as traffic congestion or traffic-cargo volume. Different from merely traffic counts, our approach can provide the count grouped by vehicle-types and cargo weights. Precise measurements are facilitated by high temporal sampling rates of the distributed acoustic sensing and a dedicated peak finding algorithm for extracting the timing information reliably.
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公开(公告)号:US20240133937A1
公开(公告)日:2024-04-25
申请号:US18485235
申请日:2023-10-11
Applicant: NEC Laboratories America, Inc.
Inventor: Yangmin DING , Ting WANG , Yue TIAN , Sarper OZHARAR
IPC: G01R31/08
CPC classification number: G01R31/085 , G01R31/088
Abstract: Systems, methods, and structures providing dynamic line rating (DLR) for overhead transmission lines based on distributed fiber optic sensing (DFOS)/distributed temperature sensing (DTS) to determine temperature of the electrical conductors. Environmental conditions such as wind speed, wind direction, and solar radiation data, are collected from environmental sensors and an acoustic modem that convert the digital data collected from the environmental sensors into generated vibration patterns that are subsequently used to vibrationally excite a DFOS optical sensor fiber. The DFOS system monitors the optical sensor fiber and detects, measures, and decodes the vibrational excitations. An Artificial Neural Network (ANN) determines a heat transfer correlation between the temperature of the optical sensor fiber and electrical conductor(s) (core temperature).
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公开(公告)号:US20240085238A1
公开(公告)日:2024-03-14
申请号:US18501203
申请日:2023-11-03
Applicant: NEC Laboratories America, Inc.
Inventor: Yangmin DING , Zhuocheng JIANG , Sarper OZHARAR , Yue TIAN , Ting WANG
CPC classification number: G01H9/004 , G01D5/35361
Abstract: In sharp contrast to the prior art, a fallen tree detection and localization method based on distributed fiber optical sensing (DFOS) technique and physics informed machine learning is described in which DFOS leverages existing fiber cables that are conventionally installed on the bottom layer of distribution lines and used to provide high-speed communications. The DFOS collects and transmits fallen tree induced vibration data along the length of the entire overhead lines, including distribution lines and transmission lines, where there is a fiber cable deployed. The developed physics-informed neural network model processes the data and localizes the fallen tree location along the lines. The location is interpreted in at least two aspects: the fallen tree location in terms of the fiber cable length; and the exact cable location (power cable or fiber cable) that the fallen tree mechanically impacts.
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公开(公告)号:US20230377179A1
公开(公告)日:2023-11-23
申请号:US18319476
申请日:2023-05-17
Applicant: NEC Laboratories America, Inc.
Inventor: Zhuocheng JIANG , Yue TIAN , Yangmin DING , Sarper OZHARAR , Ting WANG
IPC: G06T7/50 , H04N13/207 , G06V10/74
CPC classification number: G06T7/50 , H04N13/207 , G06V10/761 , G06T2207/20084 , G06T2207/20228
Abstract: Computer vision based, wide-area snow/water level estimation methods using disparity maps. In one embodiment our method provides rich depth-information using a stereo camera and image processing. Scene images at normal and snow/rain weather conditions are obtained by a double-lens stereo camera and a disparity map is generated from the scene images at left and right lenses using a self-supervised deep convolutional network. In another embodiment, our method uses a single point snow/water level sensor, a stationary monocular camera to measure snow/water levels covering a wide area.
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公开(公告)号:US20230376783A1
公开(公告)日:2023-11-23
申请号:US18319472
申请日:2023-05-17
Applicant: NEC Laboratories America, Inc.
Abstract: An advance in the art is made according to aspects of the present disclosure directed to a method that determines virtual topology design and resource allocation for dynamic intent-based computing jobs in a mobile edge computing infrastructure when client requests are dynamic. Our method according to aspects of the present disclosure is an unsupervised machine learning approach, so that there is no need for manual labeling or pre-processing in advance, while a training process and decision making is performed online. In sharp contrast to the prior art, our method according to aspects of the present disclosure utilizes reinforcement learning techniques to make an efficient assignment in which two neural networks—a policy neural network and a value neural network—are used interactively to achieve the assignment. A training process is performed through a batch (or group) processing style in an online manner.
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49.
公开(公告)号:US20230228617A1
公开(公告)日:2023-07-20
申请号:US18126409
申请日:2023-03-25
Applicant: NEC Laboratories America, Inc.
Inventor: Junqiang HU , Ting WANG
Abstract: Distributed fiber optic sensing systems (DFOS) methods, and structures that employ DVS / DAS point sensors and a two-stage processing methodology / structure that advantageously enable point sensors to send sensor data at any time - thereby providing significant processing advantages over the prior art.
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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
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.
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