公开(公告)号：US12127826B2

公开(公告)日：2024-10-29

申请号：US18125640

申请日：2023-03-23

Applicant: ZHEJIANG LAB

Inventor： Yu Zhang ,  Wenyuan Qiu ,  Zhichao Wang ,  Chaoliang Sun ,  Haotian Qian ,  Jingsong Li

IPC: A61B5/055 ,  G01R33/48 ,  G06N3/042 ,  G06T7/00

CPC classification number: A61B5/055 ,  G01R33/4806 ,  G06N3/042 ,  G06T7/0012 ,  G06T2207/10088 ,  G06T2207/20084 ,  G06T2207/30016

Abstract: The present disclosure discloses a brain atlas individualization method and system based on magnetic resonance and a twin graph neural network. Firstly, a feature is extracted from resting-state functional magnetic resonance imaging (rs-fMRI) by utilizing functional connectivity based on a region-of-interest, and at the same time, Fisher transformation and exponential transformation are performed on the feature; secondly, a corresponding adjacent matrix is extracted from T1-weighted magnetic resonance data in a data set; and then the twin graph neural network is designed for training and testing with the transformed feature and the adjacent matrix as inputs and a group atlas label and a sampling mask as outputs.

公开(公告)号：US20240355152A1

公开(公告)日：2024-10-24

申请号：US18492767

申请日：2023-10-23

Applicant: ZHEJIANG LAB

Inventor： Hongyang CHEN ,  Chenxi LIU ,  Zhu XIAO

IPC: G07C5/02

CPC classification number: G07C5/02

Abstract: The present application discloses a method and a system for analyzing and predicting a vehicle stay behavior based on multi-task learning, and the method includes the following steps: acquiring vehicle GPS and OBD data including a vehicle ID, a travel start time, a start longitude, a start latitude, an end time, an end longitude, and an end latitude after desensitization; preprocessing vehicle GPS and OBD data to obtain vehicle stay behavior data including stay location and stay duration; extract a spatial-temporal characteristic of the preprocessed vehicle stay behavior data by a deep recurrent neural network; inputting the spatial-temporal characteristic into a multi-task learning and predicting network, and obtaining the correlation between a stay location prediction task and the stay duration prediction task based on the historical stay behavior of the vehicle through the multi-task learning and predicting network to predict the stay location and stay duration.

公开(公告)号：US12120039B2

公开(公告)日：2024-10-15

申请号：US18389820

申请日：2023-12-20

Applicant: ZHEJIANG LAB

Inventor： Xiaoyu Yi ,  Yuan Liang ,  Geyang Xiao ,  Xingchang Guo ,  Tao Zou ,  Ruyun Zhang ,  Linlin Yan

IPC: H04L47/6275 ,  H04L47/12

CPC classification number: H04L47/6275 ,  H04L47/12

Abstract: A traffic alarm method and apparatus based on a programmable switch, a device and a medium. The method monitors traffic with different priorities, when the traffic is greater than or equal to a threshold, the programmable switch may give a real-time alarm on a data plane and return low priority traffic information in a current network back to a sending end, and the sending end may adjust a task priority through alarm information. The present disclosure uses a programmable switch device, the lower priority traffic information may be alarmed to the sending end in real time on the data plane without passing through a controller, an alarm delay is significantly reduced, the sending end may adjust a sending rate timely, real-time scheduling of network traffic is achieved, high priority traffic transmission is ensured, and meanwhile link utilization is improved.

公开(公告)号：US12118018B2

公开(公告)日：2024-10-15

申请号：US18472202

申请日：2023-09-21

Applicant: ZHEJIANG LAB

Inventor： Ting Jiang ,  Yu Zhang ,  Ting Yu ,  Ji Zhang ,  Linlin Hou ,  Jin Zhao

IPC: G06F16/28

CPC classification number: G06F16/285

Abstract: A data classification method and apparatus, a device and a storage medium. A structural feature of the respective node in graph data may be determined according to a neighbor node of the respective node in the graph data through a deviation between the decoded feature obtained by decoding the embedded coding feature of the respective node in the graph data and the initial feature of the respective node, and then the embedded coding feature corresponding to the respective node is adjusted according to the decoded feature of the respective node and the structural feature of the respective node in the graph data to obtain the adjusted feature corresponding to the respective node, so that accuracy of an obtained feature of the respective node is improved, and thus accuracy of data classification may be improved.

公开(公告)号：US20240330369A1

公开(公告)日：2024-10-03

申请号：US18610495

申请日：2024-03-20

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY ,  ZHEJIANG LAB

Inventor： Long ZHENG ,  Haiheng HE ,  Xiaofei LIAO ,  Hai JIN ,  Dan CHEN ,  Yu HUANG

IPC: G06F16/901 ,  G06F40/30

CPC classification number: G06F16/9024 ,  G06F40/30

Abstract: A method for incremental metapath storage and dynamic maintenance is provided, which includes, reformatting metapath instances, from a designated heterogeneous graph and of a designated metapath type, into path graphs; executing graph updating tasks and performing dynamic maintenance on the updated path graphs, traversing the path graph to obtain the location of metapath updates and update the path graph; for metapaths with length greater than 2 and with symmetrical central portion, central merge operation is performed to simplify path graph and perform subsequent restoration operation; and directly perform restoration operation on path graphs that do not meet the merging conditions. The present disclosure utilizes characteristics of graph update to obtain locality of metapath updates, and combines internal relationship characteristics of metapath instances to greatly speed up metapath generation and achieve real-time inference of dynamic heterogeneous graph models.

公开(公告)号：US12106404B2

公开(公告)日：2024-10-01

申请号：US18363703

申请日：2023-08-01

Applicant: ZHEJIANG LAB

Inventor： Jingsong Li ,  Yiwei Gao ,  Peijun Hu ,  Tianshu Zhou ,  Yu Tian

IPC: G06T11/00 ,  G06T3/4053 ,  G06T5/70 ,  G16H30/40

CPC classification number: G06T11/006 ,  G06T3/4053 ,  G06T5/70 ,  G06T11/005 ,  G16H30/40 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30004 ,  G06T2207/30168 ,  G06T2211/441

Abstract: The present application discloses a label-free adaptive CT super-resolution reconstruction method, device and system based on a generative network, which comprises the following modules: an acquisition module configured for acquiring low-resolution original CT image data; a preprocessing module configured for performing super-resolution reconstruction on original CT images based on total variation to obtain an initial value; and a super-resolution reconstruction module configured for performing high-resolution reconstruction on the initial value. According to the present application, a parameter fine-tuning method is adopted, and a CT reconstruction network which is not suitable for a certain patient is adjusted into a network which is suitable for the patient's situation on the premise of not using a large number of data sets for training; only the low-resolution CT data of the patient is used in this process, and the corresponding high-resolution CT data is not needed as a label.

公开(公告)号：US12095862B1

公开(公告)日：2024-09-17

申请号：US18565436

申请日：2023-07-05

Applicant: ZHEJIANG LAB

Inventor： Peilei Wang ,  Ruyun Zhang ,  Tao Zou ,  Shunbin Li ,  Peilong Huang

IPC: H04L67/1097 ,  G06F9/54

CPC classification number: H04L67/1097 ,  G06F9/54

Abstract: The present disclosure provides a data processing system and a data processing method. The system includes: a client interaction module, a subscribing and publishing module, a storage module, and a sub-database management module. The client interaction module is configured to: receive an interaction request sent by a client, analyze the interaction request to obtain an analyzing result, and based on the analyzing result, determine a process type to be started and start a response process of the process type, and repackage the interaction request and send the repackaged interaction request to the response process, where the process type includes a first process type corresponding to the subscribing and publishing module, a second process type corresponding to the storage module and a third process type corresponding to the sub-database management module.

公开(公告)号：US12094484B2

公开(公告)日：2024-09-17

申请号：US18360838

申请日：2023-07-28

Applicant: ZHEJIANG LAB

Inventor： Jingsong Li ,  Zhenchuan Zhang ,  Tianshu Zhou ,  Yu Tian

IPC: G10L21/0232 ,  G10L17/02 ,  G10L17/04 ,  G10L25/30

CPC classification number: G10L21/0232 ,  G10L17/02 ,  G10L17/04 ,  G10L25/30

Abstract: The present disclosure discloses a general speech enhancement method and apparatus using multi-source auxiliary information. The method includes following steps: S1: building a training data set; S2: using the training data set to learn network parameters of a model, and building a speech enhancement model; S3: building a sound source information database in a pre-collection or on-site collection mode; S4: acquiring an input of the speech enhancement model; and S5: taking a noisy original signal as a main input of the speech enhancement model, taking auxiliary sound signals of a target source group and auxiliary sound signals of an interference source group as side inputs of the speech enhancement model for speech enhancement, and obtaining an enhanced speech signal.

公开(公告)号：US20240305849A1

公开(公告)日：2024-09-12

申请号：US18592565

申请日：2024-03-01

Applicant: ZHEJIANG LAB

Inventor： Xiangming ZHU ,  Shanyun LIU ,  Nan HAO

IPC: H04N21/2665 ,  H04N21/2183

CPC classification number: H04N21/2665 ,  H04N21/2183

Abstract: A content caching method for a satellite terrestrial integrated network with differentiated interests and access modes, including: collecting user proportion information, content popularity distribution information, cache capacity information, and link delay information in the satellite terrestrial integrated network; determining a content caching problem of the collaboration of base stations and a satellite for a delay optimization based on differentiated user interests and differentiated access modes; solving the content caching problem to obtain a content caching strategy of the collaboration of the base stations and the satellite; and based on the obtained content caching strategy, caching contents in the base stations and the satellite to provide a content service for base station access users and satellite access users in the satellite terrestrial integrated network.

公开(公告)号：US20240297836A1

公开(公告)日：2024-09-05

申请号：US18245338

申请日：2023-01-16

Applicant: ZHEJIANG LAB

Inventor： Xingyu LIU ,  Songsong LIN ,  Wenjiao YANG

IPC: H04L43/0811 ,  H04L12/437

CPC classification number: H04L43/0811 ,  H04L12/437

Abstract: The present disclosure discloses a method and apparatus for monitoring a link state between nodes. The method includes: determining, by a first node, whether to transmit a first diagnosis message to a second node based on a monitoring result of whether to receive message data transmitted by the second node for a first time duration; processing, by the second node, the received first diagnosis message and transmitting the processed second diagnosis message to a third node; processing, by the third node, the received second diagnosis message and transmitting the processed third diagnosis message to the second node; determining, by the second node, whether to transmit the third diagnosis message to the first node; and determining, by the first node, a link state between the first node and the second node based on a monitoring result of whether to receive the third diagnosis message for a second time duration.