Multi-center synergetic cancer prognosis prediction system based on multi-source migration learning

    公开(公告)号:US11456078B2

    公开(公告)日:2022-09-27

    申请号:US17543738

    申请日:2021-12-07

    Applicant: ZHEJIANG LAB

    Abstract: Provided is a multi-center synergetic cancer prognosis prediction system based on multi-source migration learning. The system includes a model parameter setting module, a data screening module, and a multi-source migration learning module, wherein the model parameter setting module is responsible for setting cancer prognosis prediction model parameters; the data screening module is arranged at a clinical center, and a management center transmits the set model parameter to each clinical center, such that each clinical center inquires a sample feature and prognosis index data from a local database according to the model parameter, so as to preprocess the data; and the multi-source migration learning module includes a source model training unit, a migration weight calculation unit, and a target model calculation unit.

    ID/location hybrid forwarding method based on source routing

    公开(公告)号:US11431632B1

    公开(公告)日:2022-08-30

    申请号:US17739173

    申请日:2022-05-09

    Applicant: Zhejiang Lab

    Abstract: The present invention relates to the technical field of computer networking, in particular to an ID/location hybrid forwarding method based on source routing, including a message format based on an extension header of a MobilityFirst protocol, a source routing forwarding mechanism based on ID identifiers and a source routing forwarding mechanism based on location identifiers. Through the method of the present invention, the source routing forwarding mechanism based on ID identifiers can be adopted in the access domains of the MobilityFirst network to realize the internetworking of intra-domain networks, and the source routing forwarding mechanism based on location identifiers in the core domain realizes the interconnection of inter-domain networks; the method greatly simplifies the processing flow of the data plane of the MobilityFirst network, and meanwhile reserves the design that the ID identifiers and the location identifiers are separated, thereby effectively supporting intra-domain and inter-domain mobile data forwarding.

    METHOD FOR AUTOMATICALLY COMPRESSING MULTITASK-ORIENTED PRE-TRAINED LANGUAGE MODEL AND PLATFORM THEREOF

    公开(公告)号:US20220188658A1

    公开(公告)日:2022-06-16

    申请号:US17564071

    申请日:2021-12-28

    Applicant: ZHEJIANG LAB

    Abstract: Disclosed is a method for automatically compressing multi-task oriented pre-trained language model and a platform thereof. According to the method, a meta-network of a structure generator is designed, a knowledge distillation coding vector is constructed based on a knowledge distillation method of Transformer layer sampling, and a distillation structure model corresponding to a currently input coding vector is generated by using the structure generator; at the same time, a Bernoulli distribution sampling method is provided for training the structure generator; in each iteration, each encoder unit is transferred by Bernoulli distribution sampling to form a corresponding coding vector; by changing the coding vector input to the structure generator and a small batch of training data, the structure generator and the corresponding distillation structure are jointly trained, and a structure generator capable of generating weights for different distillation structures can be acquired.

    SYSTEM FOR THE PROGNOSTICS OF THE CHRONIC DISEASES AFTER THE MEDICAL EXAMINATION BASED ON THE MULTI-LABEL LEARNING

    公开(公告)号:US20220093257A1

    公开(公告)日:2022-03-24

    申请号:US17543736

    申请日:2021-12-07

    Applicant: ZHEJIANG LAB

    Abstract: Provided is a system for the prognostics of the chronic diseases after the medical examination based on the multi-label learning, including a data acquisition module, a data preprocessing module, a basic predicting model constructing module, and a local predicting module. The data acquisition module is configured to acquire physical examination data of a physical examination user. The basic predicting model constructing module is configured to construct a multi-label learning model for a physical examination scenario. The local predicting module includes a local model training unit and a predicting unit. The local model training unit adjusts the basic predicting model into a local predicting model, and solidifies the local predicting model into the local predicting module. The predicting unit outputs a predicted prognostic index for an occurrence of a plurality of chronic diseases, and finally acquires a future expected occurrence time of the chronic diseases.

    DISTRIBUTED MODEL TRAINING BASED ON NODE FAULT PERCEPTION

    公开(公告)号:US20250086503A1

    公开(公告)日:2025-03-13

    申请号:US18580048

    申请日:2023-10-12

    Applicant: ZHEJIANG LAB

    Abstract: The present disclosure discloses a method and an apparatus for training a distributed model based on node fault perception, a storage medium, and an electronic device. During model training, a backup node can be assigned to each device node used during model training, such that in response to monitoring that a device node is faulty, the backup node corresponding to the faulty device node can take over the model training task, thereby ensuring the efficiency of the model training task.

    Method and system for automatically and quickly deploying front-end processor based on gray release

    公开(公告)号:US12236233B2

    公开(公告)日:2025-02-25

    申请号:US18360840

    申请日:2023-07-28

    Applicant: ZHEJIANG LAB

    Abstract: The present disclosure discloses a method and system for automatically and quickly deploying a front-end processor based on gray release. The system includes a user management module, a front-end processor engineering configuration module, a version iteration module and an engineering code version management repository, where the version iteration module is connected with the engineering code version management repository, the user management module and the front-end processor engineering configuration module, a code is obtained through the engineering code version management repository to perform updating or rollback of a current code, an operating permission of the front-end processor is obtained by using the user management module, an engineering configuration parameter is obtained from the front-end processor engineering configuration module for engineering gray release of a plurality of front-end processors, and a task scheduling function therein is called.

    Time-sensitive network switch
    68.
    发明授权

    公开(公告)号:US12235779B2

    公开(公告)日:2025-02-25

    申请号:US18041790

    申请日:2022-12-15

    Applicant: ZHEJIANG LAB

    Inventor: Xuyang Zhao

    Abstract: The present disclosure discloses a time-sensitive network switch including a plurality of multi-core CPUs. In the time-sensitive network switch, by the parallel data processing method with multi-core system-on-chips (SoC), industrial real-time data are distributed to multi-core SoCs for processing in parallel. The processed data are scheduled according to the identified priority, and are arranged to the different priority queues of the port in order to process the high-priority data first, which reduces the processing time for the data in the device. The data passes through the security encryption engine in the time-sensitive network switch, which ensures the security for processing data in the device. The reliability, real-time and stability of the data transmission in the time-sensitive network are improved.

    METHOD, DEVICE AND MEDIUM FOR CALCULATING RADIATION FIELD OF SATELLITE-BORNE ARRAY ANTENNA

    公开(公告)号:US20250052801A1

    公开(公告)日:2025-02-13

    申请号:US18416899

    申请日:2024-01-19

    Applicant: ZHEJIANG LAB

    Abstract: Disclosed is a method and a device for calculating a radiation field of satellite-borne array antennas. comprising: calculation of a kernel function of an antenna: calculating the kernel function of a very-low-frequency antenna in an ionospheric environment; calculation of an antenna current distribution: establishing and solving N current integral equations satisfied by the array antennas to obtain the current distribution of each antenna in the array; calculation of the radiation fields of the array antennas: calculating and summing the radiation fields of all antenna elements to obtain the radiation field of the array antennas; calculation of an array factor: analyzing a propagation phase difference between the ith antenna and the first antenna, and calculating the array factor of the array antennas accordingly, further simplifying the radiation field of the array antennas. The present disclosure has advantages of less calculation time consumption and high accuracy.

    Content caching method for satellite terrestrial integrated network with differentiated interest and access mode

    公开(公告)号:US12192556B2

    公开(公告)日:2025-01-07

    申请号:US18592565

    申请日:2024-03-01

    Applicant: ZHEJIANG LAB

    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.

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