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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
发明人： Buyu Liu , Sriram Nochur Narayanan , Bingbing Zhuang , Yumin Suh
IPC分类号： B60W30/09 , B60W30/095 , B60W50/00 , G06V20/56
CPC分类号： B60W30/09 , B60W30/0956 , B60W50/0097 , G06V20/588
摘要： 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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2.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
发明人： Xujiang Zhao , Yanchi Liu , Wei Cheng , Haifeng Chen
IPC分类号： G06N5/02 , G06F16/332
CPC分类号： G06N5/02 , G06F16/3329
摘要： 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
发明人： Vijay Kumar Baikampady Gopalkrishna , Samuel Schulter , Xiang Yu , Zaid Khan , Manmohan Chandraker
摘要： 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
发明人： Yangmin DING , Sarper OZHARAR , Yue TIAN , Ting WANG
摘要： 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
CPC分类号： G01V1/001 , G01C21/3848 , H04L41/145
摘要： 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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6.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
发明人： Tiejun J. XIA , Glenn A. WELLBROCK , Ming-Fang HUANG , Ting WANG , Yoshiaki AONO
摘要： 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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公开(公告)号：US20240129195A1
公开(公告)日：2024-04-18
申请号：US18481988
申请日：2023-10-05
IPC分类号： H04L41/0896 , H04L41/122
CPC分类号： H04L41/0896 , H04L41/122
摘要： 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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8.发明公开公开(公告)号：US20240125962A1
公开(公告)日：2024-04-18
申请号：US18485247
申请日：2023-10-11
发明人： Yifan WU , Ming-Fang HUANG , Shaobo HAN , Jian FANG , Yuheng CHEN , Yaowen LI , Mohammad KHOJASTEPOUR
CPC分类号： G01V1/375 , G01H9/004 , G01V1/305 , G01V1/307 , G01V8/24 , G01V2210/21 , G01V2210/48 , G01V2210/65 , G01V2210/667 , G01V2210/67 , G01V2210/72 , G01V2210/74
摘要： Method for source localization for cable cut prevention using distributed fiber optic sensing (DFOS)/distributed acoustic sensing (DAS) is described that is robust/immune to underground propagation speed uncertainty. The method estimates the location of a vibration source while considering any uncertainty of vibration propagation speed and formulates the localization as an optimization problem, and both location of the sources and the propagation speed are treated as unknown. This advantageously enables our method to adapt to variances of the velocity and produce a better generalized performance with respect to environmental changes experienced in the field. Our method operates using a DFOS system and AI techniques as an integrated solution for vibration source localization along an entire optical sensor fiber cable route and process real-time DFOS data and extract features that are related to a location of a source of vibrations that may threaten optical fiber facilities.
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公开(公告)号：US20240104344A1
公开(公告)日：2024-03-28
申请号：US18467069
申请日：2023-09-14
发明人： LuAn Tang , Peng Yuan , Yuncong Chen , Haifeng Chen , Yuji Kobayashi , Jiafan He
IPC分类号： G06N3/0442
CPC分类号： G06N3/0442
摘要： Methods and systems for training a model include distinguishing hidden states of a monitored system based on condition information. An encoder and decoder are generated for each respective hidden state using forward and backward autoencoder losses. A hybrid hidden state is determined for an input sequence based on the hidden states. The input sequence is reconstructed using the encoders and decoders and the hybrid hidden state. Parameters of the encoders and decoders are updated based on a reconstruction loss.
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10.发明公开公开(公告)号：US20240103215A1
公开(公告)日：2024-03-28
申请号：US18369041
申请日：2023-09-15
发明人： Fatih YAMAN , Shaobo HAN , Eduardo Fabian MATEO RODRIGUEZ , Yang LI , Yoshihisa INADA , Takanori INOUE
CPC分类号： G02B6/024 , G02B6/4427
摘要： An advance in the art is made according to aspects of the present disclosure directed to methods for earthquake sensing that employ a supervisory system of undersea fiber optic cables. Earthquakes and other environmental disturbances are detected by monitoring the polarization of interrogation light instead of its phase. More specifically, our methods monitor the transfer matrix rather than just polarization and isolate disturbance location by monitoring eigenvalues of the polarization transfer matrix. From results obtained we have demonstrated experimentally that we can monitor disturbances that affect signal polarization on a span-by-span basis using High Loss Loop Back (HLLB) paths. It is shown that by measuring the polarization rotation matrix and determining the polarization rotation angle we can identify the span where the disturbance occurred with 35 dB extinction with no limitation on the magnitude of the disturbance and the number of affected spans.
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