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公开(公告)号：US20240405890A1
公开(公告)日：2024-12-05
申请号：US18731283
申请日：2024-06-01
Applicant: NEC Laboratories America, Inc.
Inventor： Wataru KOHNO , Jian FANG , Shuji MURAKAMI , Ting WANG
Abstract: Disclosed are systems, methods, and structures employing a distributed fiber optic sensing (DFOS)/distributed acoustic sensing (DAS) system operating as an underwater wireless acoustic antenna in which an optical fiber sensor cable serves as a distributed acoustic antenna that receives multiple data from transmitters using an optical interrogator. Sensing channels, in the form of acoustic-antenna-array systems are located near transmitters taking advantage of the fact that these channels are automatically synchronized. The sensing channels may also be manually selected from software controlling the interrogator, and acoustic repeaters may be introduced as one data transmission mechanism. Acoustic tata transmission using an orthogonal frequency division multiplexed (OFDM) signal is demonstrated as a cure for data transmission using a DAS, such as multipath fading impacting bit error rate (BER) and limitations in acoustic transmission bandwidth.
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公开(公告)号：US20240135797A1
公开(公告)日：2024-04-25
申请号：US18485217
申请日：2023-10-11
Applicant: NEC Laboratories America, Inc.
Inventor： Yangmin DING , Sarper OZHARAR , Yue TIAN , Ting WANG
Abstract: A data-driven street flood warning system that employs distributed fiber optic sensing (DFOS)/distributed acoustic sensing (DAS) and machine learning (ML) technologies and techniques to provide a prediction of street flood status along a telecommunications fiber optic cable route using the DFOS/DAS data and ML models. Operationally, a DFOS/DAS interrogator collects and transmits vibrational data resulting from rain events while an online web server provides a user interface for end-users. Two machine learning models are built respectively for rain intensity prediction and flood level prediction. The machine learning models serve as predictive models for rain intensity and flood levels based on data provided to them, which includes rain intensity, rain duration, and historical data on flood levels.
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公开(公告)号：US20240129195A1
公开(公告)日：2024-04-18
申请号：US18481988
申请日：2023-10-05
Applicant: NEC Laboratories America, Inc.
IPC: H04L41/0896 , H04L41/122
CPC classification number: H04L41/0896 , H04L41/122
Abstract: Described is a novel framework, we call intent-based computing jobs assignment framework, for efficiently accommodating a clients' computing job requests in a mobile edge computing infrastructure. We define the intent-based computing job assignment problem, which jointly optimizes the virtual topology design and virtual topology mapping with the objective of minimizing the total bandwidth consumption. We use the Integer Linear Programming (ILP) technique to formulate this problem, and to facilitate the optimal solution. In addition, we employ a novel and efficient heuristic algorithm, called modified Steiner tree-based (MST-based) heuristic, which coordinately determines the virtual topology design and the virtual topology mapping. Comprehensive simulations to evaluate the performance of our solutions show that the MST-based heuristic can achieve an efficient performance that is close to the optimal performance obtained by the ILP solution.
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4.发明公开公开(公告)号：US20230375375A1
公开(公告)日：2023-11-23
申请号：US18319466
申请日：2023-05-17
Applicant: NEC Laboratories America, Inc.
Inventor： Yangmin DING , Yue TIAN , Sarper OZHARAR , Ting WANG
CPC classification number: G01D5/35358 , G06T7/70 , G06T7/13 , G01H9/004 , G01L1/242 , G06T2207/10024
Abstract: A radio-controlled, two-way acoustic modem for operating with a distributed fiber optic sensing (DFOS) system including circuitry that receives radio signals including configuration information, configures the modem to operate according to the configuration information, and generate acoustic signals that are detected by the DFOS system. The acoustic modem includes one or more sensors that detect environmental information that is encoded in the acoustic signals for further reception by the DFOS system. The received configuration information may change the operating times, sensors or other operating aspects of the modem as desired an such information may be transmitted from a fixed location or a mobile vehicle.
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公开(公告)号：US20230152150A1
公开(公告)日：2023-05-18
申请号：US17987007
申请日：2022-11-15
Applicant: NEC Laboratories America, Inc.
Inventor： Yuheng CHEN , Ming-Fang HUANG , Ting WANG , Jingnan ZHAO
Abstract: A fiber optic sensing cable located along a side of a paved road and runs parallel to a driving direction is monitored by distributed fiber optic sensing (DFOS) using Rayleigh backscattering generated along the length of the optical sensor fiber cable under dynamic vehicle loads. The interaction of vehicles with roadway locations exhibiting distressed pavement generates unique patterns of localized signals that are identified/distinguished from signals resulting from vehicles operating on roadway exhibiting a smooth pavement surface. Machine learning methods are employed to estimate an overall road surface quality as well as localizing pavement damage. Power spectral density estimation, principal component analysis, support vector machine (SVM) combined with principal component analysis (PCA), local binary pattern (LBP), and convolutional neural network (CNN) are applied to develop the machine learning models.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20230125456A1
公开(公告)日：2023-04-27
申请号：US17968265
申请日：2022-10-18
Applicant: NEC Laboratories America, Inc.
Inventor： Yangmin DING , Yue TIAN , Sarper OZHARAR , Ting WANG
Abstract: Aspects of the present disclosure describe dynamic road traffic noise mapping using DFOS over a telecommunications network that enables mapping of road traffic-induced noise at any observer location. DFOS is used to obtain instant traffic data including vehicle speed, volume, and vehicle types, based on vibration and acoustic signal along the length of a sensing fiber along with location information. A sound pressure level at a point of interest is determined, and traffic data associated with such point is incorporated into a reference noise emission database and a wave propagation theory for total sound pressure level prediction and mapping. Real-time wind speed using DFOS—such as distributed acoustic sensing (DAS)—is obtained to provide sound pressure adjustment due to the wind speed.
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公开(公告)号：US20220333956A1
公开(公告)日：2022-10-20
申请号：US17720245
申请日：2022-04-13
Applicant: NEC Laboratories America, Inc.
Inventor： Shaobo HAN , Ming-Fang HUANG , Yuheng CHEN , Philip JI , Ting WANG
Abstract: Distributed fiber optic sensing (DFOS) systems and methods that automatically detect vibration signal patterns from waterfall data recorded by DFOS system operations in real- time and associate the detected vibration signal patterns to GPS location coordinates without human intervention or interpretation. When embodied as a computer vision-based operation according to aspects of the present disclosure, our inventive systems and method provide accurate, cost-efficient, and objective determination without relying on humans and their resulting bias' and inconsistencies.
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公开(公告)号：US20220329068A1
公开(公告)日：2022-10-13
申请号：US17717112
申请日：2022-04-10
Applicant: NEC Laboratories America, Inc.
Inventor： Yangmin DING , Yuanda XU , Yue TIAN , Sarper OZHARAR , Ting WANG
Abstract: Distributed fiber optic sensing (DFOS) and artificial intelligence (AI) systems and methods for performing utility pole hazardous event localization that advantageously identify a utility pole that has undergone a hazardous event such as being struck by an automobile or other detectable impact. Systems and methods according to aspects of the present disclosure employ machine learning methodologies to uniquely identify an affected utility pole from a plurality of poles. Our systems and methods collect data using DFOS techniques in telecommunication fiber optic cable and use an AI engine to analyze the data collected for the event identification. The AI engine recognizes different vibration patterns when an event happens and advantageously localizes the event to a specific pole and location on the pole with high accuracy. The AI engine enables analyses of events in real-time with greater than 90% accuracy.
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公开(公告)号：US20220329052A1
公开(公告)日：2022-10-13
申请号：US17717088
申请日：2022-04-10
Applicant: NEC Laboratories America, Inc.
Inventor： Yangmin DING , Sarper OZHARAR , Yuandu XU , Yue TIAN , Ting WANG
Abstract: Systems and methods for performing the dynamic anomaly localization of utility pole aerial/suspended/supported wires/cables by distributed fiber optic sensing. In sharp contrast to the prior art, our inventive systems and methods according to aspects of the present disclosure advantageously identify a “location region” on a utility pole supporting an affected wire/cable, thereby permitting the identification and reporting of service personnel that are uniquely responsible for responding to such anomalous condition(s).
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公开(公告)号：US20220316921A1
公开(公告)日：2022-10-06
申请号：US17221822
申请日：2021-04-04
Applicant: NEC Laboratories America, Inc.
Inventor： Ming-Fang HUANG , Ting WANG , Shaobo HAN
Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that advantageously identify location(s) of construction—or other activities—taking place along fiber optic cable routes that can damage the fiber optic cables.
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