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81.
公开(公告)号:US20210318162A1
公开(公告)日:2021-10-14
申请号:US17225013
申请日:2021-04-07
Applicant: NEC Laboratories America, Inc.
Inventor: Junqiang HU , Ting WANG
IPC: G01H9/00
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:US20210314681A1
公开(公告)日:2021-10-07
申请号:US17221820
申请日:2021-04-04
Applicant: NEC LABORATORIES AMERICA, INC
Inventor: Ming-Fang HUANG , Ting WANG
IPC: H04Q11/00
Abstract: Aspects of the present disclosure describe distributed fiber optic sensing (DFOS) systems, methods, and structures that advantageously utilize existing telecommunications facilities that serve as not only to convey telecommunications traffic—but as a sensor medium providing useful sensory information. In sharp contrast to the prior art—a DFOS system when so deployed may advantageously exploit network topologies and optical switches to provide novel sensing features including the detection of environmental events including acoustic, temperature, and vibrational events that may be indicative of societal activity including traffic and/or emergency events.
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83.
公开(公告)号:US20210311186A1
公开(公告)日:2021-10-07
申请号:US17195538
申请日:2021-03-08
Applicant: NEC Laboratories America, Inc.
Inventor: Ming-Fang HUANG , Ting WANG , Hansi LIU
Abstract: Aspects of the present disclosure describe distributed fiber optic sensing systems, methods, and structures that advantageously are employed to determine the location and depth of underground fiber-optic facilities that may be carrying telecommunications traffic.
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公开(公告)号:US20210258074A1
公开(公告)日:2021-08-19
申请号:US17147379
申请日:2021-01-12
Applicant: NEC Laboratories America, Inc.
Inventor: Ming-Fang HUANG , Ting WANG
Abstract: Aspects of the present disclosure describe systems, methods and structures providing detection and localization of disaster-related indoor events via hybrid ethernet/optical fiber cable.
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公开(公告)号:US20210180997A1
公开(公告)日:2021-06-17
申请号:US17118529
申请日:2020-12-10
Applicant: NEC Laboratories America, Inc.
Inventor: Ming-Fang HUANG , Hansi LIU , Ting WANG
Abstract: Aspects of the present disclosure describe systems, methods and structures providing non-destructive localization of underground optical fiber cables utilizing distributed fiber optic sensing (DFOS) and time difference of arrival techniques.
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公开(公告)号:US20200005036A1
公开(公告)日:2020-01-02
申请号:US16455009
申请日:2019-06-27
Applicant: NEC Laboratories America, Inc.
Inventor: Philip Nan JI , Shuji MURAKAMI , Giovanni MILIONE , Ting WANG
IPC: G06K9/00 , G01N23/203 , G06T5/00 , G06K9/40
Abstract: Aspects of the present disclosure describe systems, methods and structures employing time-space de-noising for distributed sensor.
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公开(公告)号:US20190007134A1
公开(公告)日:2019-01-03
申请号:US15964790
申请日:2018-04-27
Applicant: NEC Laboratories America, Inc.
Inventor: Ivan DJORDJEVIC , Shaoliang ZHANG , Ting WANG
IPC: H04B10/11 , H04B10/516 , H04L29/06 , G02B6/028
Abstract: Aspects of the present disclosure describe physical layer security in optical communications wherein Bessel modes are employed and significantly outperform conventional schemes with respect to secrecy and advantageously benefit from atmospheric turbulence effects with beam splitting attacks.
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公开(公告)号:US20170209725A1
公开(公告)日:2017-07-27
申请号:US15412406
申请日:2017-01-23
Applicant: NEC Laboratories America, Inc.
Inventor: Junqiang HU , Ting WANG
CPC classification number: A62C37/50 , A62C13/76 , H04Q9/00 , H04Q2209/82 , H04Q2209/883
Abstract: Aspects of the present disclosure describe apparatus, methods and systems for monitoring the operational status of fire extinguishers through the utilization of optically sensed, color profile determinations of a pressure gauge positioned on the fire extinguisher as well as the utilization of vibrational, and location sensing devices. Advantageously, monitoring apparatus according to the present disclosure are networkable, and a number of their operational characteristics may be configured via the network and associated servers. Furthermore, monitoring apparatus according to the present disclosure may employ vibrational, acceleration, GPS, RFID, and ultrasonic sensors to detect movement, location, and obstructions. In sharp contrast to the prior art, apparatus, methods and systems according to the present disclosure operate with existing fire extinguishers and provide a convenient, cost effective, and highly functional upgrade path for deployed fire extinguishers.
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公开(公告)号:US20250148427A1
公开(公告)日:2025-05-08
申请号:US18935512
申请日:2024-11-02
Applicant: NEC Laboratories America, Inc.
Inventor: Yangmin DING , Ting WANG
IPC: G06Q10/20
Abstract: Disclosed is a deep learning and language model enhanced system and method for wind turbine monitoring using distributed fiber optic sensing (DL-LM-DFOS) which combines advantages of distributed fiber optic sensing with the power of deep learning and large language models. Our system and method automatically learns and extracts useful features from raw sensor data, detects complex patterns indicating potential issues, and incorporates and learns from a wide range of data, including textual data such as maintenance logs, operational notes, or alarm messages. As a result, our inventive system and method provide comprehensive, efficient, and predictive monitoring of wind turbines.
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公开(公告)号:US20250147992A1
公开(公告)日:2025-05-08
申请号:US18935495
申请日:2024-11-02
Applicant: NEC Laboratories America, Inc.
Inventor: Yangmin DING , Ting WANG
IPC: G06F16/332 , G06F16/34
Abstract: Disclosed are integrated systems and methods providing intelligent anomaly detection for DFOS systems and applications, the systems and methods utilizing a natural language processing model, such as ChatGPT, to generate real-time alerts with actionable recommendations and potential consequences based on detected anomalies. Our innovative solution—OptiSenseGPT—solves problems left uncured by traditional methods by delivering easily understandable alerts in natural language, enabling timely response by relevant personnel. Our integrated OptiSenseGPT systems and methods disclosed provide context-aware recommendations and consequences, enhancing decision-making and improving overall performance and safety of a monitored infrastructure or environment. Our OptiSenseGPT systems and methods advantageously provide integration of natural language processing; context-aware recommendations; presentation of potential consequences; adaptability and customization; and seamless integration.
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