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公开(公告)号：US20250147144A1
公开(公告)日：2025-05-08
申请号：US18938834
申请日：2024-11-06
Applicant: NEC Laboratories America, Inc.
Inventor： Yangmin DING , Ting WANG
Abstract: Integrated DFOS systems and methods for 3D gunshot, localization, and tracking utilizing Artificial Intelligence enhanced (AI-enhanced) systems and methods for infrastructure security including electrical substations. Our systems and methods provide a comprehensive solution for substation security enhancement, integrating 3D gunshot localization, real-time tracking, and AI-driven analysis. Utilizing Distributed Acoustic Sensing (DAS) technology, our systems and methods precisely detect and triangulate the origin of gunshots in three-dimensional space. The trajectory of a bullet is determined, providing insights into the direction and potential target within the substation. Al algorithms discern between various acoustic events and provide identification of genuine threats. Upon detecting a potential gunshot, our system automatically correlates related acoustic events, such as the noise of a nearby vehicle, offering context and aiding in threat assessment. Our AI-enhanced system evaluates acoustic signals to determine real-time equipment damage resulting from gunshots, ensuring immediate remedial actions and anticipate potential future incidents.
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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.
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.
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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
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
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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.
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.
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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.
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Patent Agency Ranking
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.
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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.
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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.
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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.
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公开(公告)号：US20230370310A1
公开(公告)日：2023-11-16
申请号：US18317032
申请日：2023-05-12
Applicant: NEC Laboratories America, Inc.
Inventor： Sarper OZHARAR , Yue TIAN , Yangmin DING , Zhuocheng JIANG , Ting WANG
CPC classification number: H04L27/0002 , G08C17/02 , H04B3/52
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 and such information may be transmitted from a fixed location or a mobile vehicle.
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