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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：US20240403137A1
公开(公告)日：2024-12-05
申请号：US18678121
申请日：2024-05-30
Applicant: NEC Laboratories America, Inc.
Inventor： Kunal G. Rao , Giuseppe Coviello , Ciro Giuseppe DeVita , Gennaro Mellone , Yuang Jiang , Wang-pin Hsiung , Srimat Chakradhar
IPC: G06F9/50
Abstract: Systems and methods are provided for dynamically optimizing microservice placement in a distributed edge and cloud computing environment, including receiving application specifications that include telemetry data collection methods, placement rules, and modes of operation, validating the received application specifications to ensure completeness and correctness, and composing an application graph where vertices represent microservices and edges represent connections between the microservices. Availability of resources specified in the application graph is checked, and the microservices are deployed according to initial placement rules. Telemetry data from the deployed microservices and underlying infrastructure is collected and evaluated against the placement rules, and the placement of microservices is dynamically adjusted responsive to a determination that current microservice placement is suboptimal based on the evaluating of the collected telemetry data.
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公开(公告)号：US12154024B2
公开(公告)日：2024-11-26
申请号：US17398476
申请日：2021-08-10
Applicant: NEC Laboratories America, Inc.
Inventor： Bo Zong , Haifeng Chen , Zhen Wang
IPC: G06F40/30 , G06F18/211 , G06F18/213 , G06N3/048 , G06N5/02 , G06F16/33
Abstract: A method trains a recursive reasoning unit (RRU). The method receives a graph for a set of words and a matrix for a different set of words. The graph maps each word in the set of words to a node with node label and indicates a relation between adjacent nodes by an edge with edge label. The matrix indicates word co-occurrence frequency of the different set of words. The method discovers, by the RRU, reasoning paths from the graph for word pairs by mapping word pairs from the set of words into a source word and a destination word and finding the reasoning paths therebetween. The method predicts word co-occurrence frequency using the reasoning paths. The method updates, responsive to the word co-occurrence frequency, model parameters of the RRU until a difference between a predicted and true word occurrence are less than a threshold amount to provide a trained RRU.
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公开(公告)号：US20240379234A1
公开(公告)日：2024-11-14
申请号：US18659506
申请日：2024-05-09
Applicant: NEC Laboratories America, Inc.
Abstract: Methods and systems for visual question answering include decomposing an initial question to generate a sub-question. The initial question and an image are applied to a visual question answering model to generate an answer and a confidence score. It is determined that the confidence score is below a threshold value. The sub-question is applied to the visual question answering model, responsive to the determination that the confidence score is below a threshold value, to generate a final answer.
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公开(公告)号：US20240351582A1
公开(公告)日：2024-10-24
申请号：US18639307
申请日：2024-04-18
Applicant: NEC Laboratories America, Inc.
Inventor： Buyu Liu , Sriram Nochur Narayanan , Bingbing Zhuang , Yumin Suh
IPC: B60W30/09 , B60W30/095 , B60W50/00 , G06V20/56
CPC classification number: B60W30/09 , B60W30/0956 , B60W50/0097 , G06V20/588
Abstract: Methods and systems for trajectory prediction include encoding trajectories of agents in a scene from past images of the scene. Lane centerlines are encoded for agents in the scene. The agents in the scene are encoded using the encoded trajectories and the encoded lane centerlines. A hypercolumn trajectory is decoded from the encoded agents to generate predicted trajectories for the agents. A vehicle is automatically operated responsive to the predicted trajectories.
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Patent Agency Ranking
26.发明公开公开(公告)号：US20240160955A1
公开(公告)日：2024-05-16
申请号：US18503517
申请日：2023-11-07
Applicant: NEC Laboratories America, Inc.
Inventor： Xujiang Zhao , Yanchi Liu , Wei Cheng , Haifeng Chen
IPC: G06N5/02 , G06F16/332
CPC classification number: G06N5/02 , G06F16/3329
Abstract: A computer-implemented method for optimized decision making that includes labeling text data extracted from an inquiry, and linking labeled text to a knowledge graph entity. The method may further include retrieving from the knowledge graph reasoning paths; and removing irrelevant knowledge graph reasoning paths using a language model trained artificial intelligence consistent with the labeling of the text data. The method may further include employing remaining relevant graph reasoning paths to provide an answer prediction.
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公开(公告)号：US20240152767A1
公开(公告)日：2024-05-09
申请号：US18497079
申请日：2023-10-30
Applicant: NEC Laboratories America, Inc.
Inventor： Vijay Kumar Baikampady Gopalkrishna , Samuel Schulter , Xiang Yu , Zaid Khan , Manmohan Chandraker
Abstract: Systems and methods for training a visual question answer model include training a teacher model by performing image conditional visual question generation on a visual language model (VLM) and a targeted visual question answer dataset using images to generate question and answer pairs. Unlabeled images are pseudolabeled using the teacher model to decode synthetic question and answer pairs for the unlabeled images. The synthetic question and answer pairs for the unlabeled images are merged with real data from the targeted visual question answer dataset to generate a self-augmented training set. A student model is trained using the VLM and the self-augmented training set to return visual answers to text queries.
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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：US20240134074A1
公开(公告)日：2024-04-25
申请号：US18485187
申请日：2023-10-11
Applicant: NEC Laboratories America, Inc.
Inventor： Ming-Fang HUANG , Chaitanya Prasad NARISETTY
CPC classification number: G01V1/001 , G01C21/3848 , H04L41/145
Abstract: An AI-driven cable mapping system that employs distributed fiber optic sensing (DFOS) fiber sensing and machine learning that provides autonomous determination of fiber optic cable location and mapping of same. Designed Al algorithms operating within our inventive systems and methods provide an easy solution for cable mapping in a GIS system; automatically maps using landmarks and manhole locations; and employs a supervised learning algorithm. A vehicle-assist operation is employed wherein a vehicle carries a Global Positioning System (GPS) device and drives along a roadway thereby following the fiber optic cable route; data paring that provides further significant locational information wherein time synchronizes between the DFOS system and vehicle GPS device from which we automatically pair the data of fiber length from traffic trajectories and GPS coordinates by time series.
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30.发明公开公开(公告)号：US20240133735A1
公开(公告)日：2024-04-25
申请号：US18400700
申请日：2023-12-29
Applicant: Verizon Patent and Licensing Inc.
Inventor： Tiejun J. XIA , Glenn A. WELLBROCK , Ming-Fang HUANG , Ting WANG , Yoshiaki AONO
Abstract: A device may receive, from a fiber sensor device, sensing data associated with a fiber optic cable, the sensing data being produced by an activity that poses a threat of damage to the fiber optic cable, and the sensing data identifying: amplitudes of vibration signals, frequencies of the vibration signals, patterns of the vibration signals, times associated with the vibration signals, and locations along the fiber optic cable associated with the vibration signals. The device may process, with a machine learning model, the sensing data to determine a threat level of the activity to the fiber optic cable, the machine learning model having been trained based on historical information regarding detected vibrations, historical information regarding sources of the detected vibrations, and historical information regarding threat levels to the fiber optic cable. The device may perform one or more actions based on the threat level to the fiber optic cable.
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