公开(公告)号：US20240264583A1

公开(公告)日：2024-08-08

申请号：US18041397

申请日：2022-12-01

Applicant: ZHEJIANG LAB

Inventor： Hongfei LU ,  Xingyu LIU ,  Shaoyong LI ,  Wenjiao YANG ,  Xingming ZHANG

IPC: G05B19/418

CPC classification number: G05B19/41835 ,  G05B2219/31229

Abstract: The present disclosure discloses a method and an apparatus for data processing, a storage medium and an electronic device, where for each second unit in the embodiments of the present disclosure, a plurality of communication links are provided between the first unit and the second unit. The first unit, in response to a data operation request, sends the data operation request to the second unit through the plurality of communication links between the first unit and the second unit. The second unit processes the target data to be processed according to the data operation instruction in the data operation request to obtain a processing result, and sends the processing result to the first unit via a plurality of communication links. The first unit executes a response strategy for the data operation request based on the processing result.

公开(公告)号：US20240229121A1

公开(公告)日：2024-07-11

申请号：US18561284

申请日：2023-03-21

Applicant: ZHEJIANG LAB

Inventor： PEIXIANG MA ,  MINGTIAN ZHONG ,  LU DANG ,  BAICHENG HUANG

IPC: C12Q1/6851 ,  C12Q1/6823

CPC classification number: C12Q1/6851 ,  C12Q1/6823 ,  C12Q2600/178

Abstract: The present invention discloses a microRNA detection method and kit for rapid detection of microRNA nucleic acids in biological and environmental samples, including microRNA tailing and a Cpf1 detection system suitable for rapid detection. The present invention is the first to use a combination of microRNA tailing and Cpf1 detection to detect microRNAs, with the advantages of high sensitivity, strong specificity, short time consumption, high throughput, direct interpretation by the naked eye, no dependence on large-scale experimental equipment and the like. These advantages make the detection method developed by the present invention convenient for rapid detection, and identification and diagnosis of microRNAs in biological and environmental samples at a clinical front line.

公开(公告)号：US20240220541A1

公开(公告)日：2024-07-04

申请号：US18497233

申请日：2023-10-30

Applicant: Huazhong University of Science and Technology ,  Zhejiang Lab

Inventor： Long ZHENG ,  Chaoqiang LIU ,  Xiaofei LIAO ,  Hai JIN ,  Yu HUANG ,  Zhaozeng AN

IPC: G06F16/901

CPC classification number: G06F16/9024

Abstract: An FPGA-based method and system for accelerating graph construction is provided, the method including: sampling neighborhood of each vertex in stored data and recording a traversal order of the vertices; according to the vertex traversal order, grouping the vertices into blocks and processing them by block-granularity, so as to at least obtain distance values between each two sampled neighbors of vertices in each block; according to the said distance values, updating neighborhoods of the two relevant vertices; and processing all of the blocks, starting a new iteration, until a satisfying precision or a predetermined limit of the number of iterations has been reached. The present disclosure utilizes the advantages of FPGA platform including flexibility, low power consumption and high parallelism, combined with the characteristics of graph construction algorithm, thereby greatly improving construction speed and reducing processing power consumption, so as to enable large-scale graph construction task processing in the datacenter.

公开(公告)号：US20240212862A1

公开(公告)日：2024-06-27

申请号：US18595379

申请日：2024-03-04

Applicant: ZHEJIANG LAB

Inventor： Jingsong LI ,  Feng WANG ,  Hang ZHANG ,  Shengqiang CHI ,  Yu TIAN ,  Tianshu ZHOU

IPC: G16H50/50 ,  G06N3/0475 ,  G06N5/022

CPC classification number: G16H50/50 ,  G06N3/0475 ,  G06N5/022

Abstract: Disclosed is a general multi-disease prediction system based on causal check data generation. For a general scenario, the present invention provides a tendency score calculation method based on a general tendency score network from the perspective of causality; compared with the problem of poor interpretability of traditional generative adversarial networks, the present invention provides a generative adversarial network based on causal check, so that generated data better conforms to real causal logic; in view of the problem that existing graph convolutional neural networks are modeled only from the perspective of correlation, the present invention provides a general multi-disease prediction model based on a general causal graph convolutional neural network, and a causal effect value is integrated to improve the prediction performance of the general multi-disease prediction system on diseases, thereby solving the problems of poor model performance and low robustness caused by few training samples in a general scenario.

公开(公告)号：US12015528B2

公开(公告)日：2024-06-18

申请号：US18348315

申请日：2023-07-06

Applicant: ZHEJIANG LAB

Inventor： Jun Zhu ,  Tao Zou ,  Lei Xue ,  Hanguang Luo ,  Qi Xu

IPC: H04L41/12

CPC classification number: H04L41/12

Abstract: Provided is a network modal management system and a management method. The system includes a polymorphic intelligent network integrated development environment and a polymorphic intelligent network distributed compilation and deployment environment. The polymorphic intelligent network integrated development environment provides users with an environment for writing code and configuration files, and facilitates users to debug the code. The polymorphic intelligent network distributed compilation and deployment environment provides users with a management interface and services, and integrates various functions related to network modal. The network modal management system significantly improves the management efficiency of polymorphic intelligent network platforms.

公开(公告)号：US20240184543A1

公开(公告)日：2024-06-06

申请号：US18525804

申请日：2023-11-30

Applicant: ZHEJIANG LAB

Inventor： Tianshu ZHOU ,  Xin GAO ,  Jingsong LI ,  Yu TIAN

IPC: G06F8/36 ,  G06F8/41

CPC classification number: G06F8/36 ,  G06F8/433

Abstract: Disclosed is a page multiplexing method, a page multiplexing device, a storage medium and an electronic apparatus. After obtaining the page frame information of pages to be configured in a client to be developed, a component relational tree corresponding to the plurality of pages can be determined. The component relational tree is compared with a pre-constructed reference relational tree to determine a target tree structure composed of target components from the reference relational tree. Dependencies between target components in the reference relational tree match those in the component relational tree. The component code of the target component used by the developed client is queried to multiplex the component code. The component relational tree corresponding to pages to be developed can be compared with the reference relational tree corresponding to each page included in the developed client to determine the component code that can be multiplexed.

公开(公告)号：US20240171509A1

公开(公告)日：2024-05-23

申请号：US18542823

申请日：2023-12-18

Applicant: ZHEJIANG LAB

Inventor： Congqi SHEN ,  Huifeng ZHANG ,  Tao ZOU ,  Ruyun ZHANG

IPC: H04L45/00 ,  H04L45/74 ,  H04L69/22

CPC classification number: H04L45/38 ,  H04L45/74 ,  H04L69/22

Abstract: A method and a device for identification management and optimized forwarding in a large-scale polymorphic network, the method comprising the follow steps: S1, constructing a polymorphic backbone network; S2, modality identification management; S3, determining a modality to be forwarded; S4, configuring a flow table for a switching node; S5, receiving a packet by a balanced distributor, and preliminarily parsing the type of the packet; S6, parsing key field information in the packet, determining the switching nodes to be allocated according to the key field information, and transmitting the key field information to the corresponding switching node; S7, the switching node matching the stored flow table according to the key field information to determine a correct forwarding action.

公开(公告)号：US11989883B2

公开(公告)日：2024-05-21

申请号：US18360796

申请日：2023-07-27

Applicant: ZHEJIANG LAB

Inventor： Jingsong Li ,  Jun Li ,  Baochen Wang ,  Zhuoxin Li ,  Yu Tian ,  Tianshu Zhou

IPC: G06T7/11 ,  G06T7/00

CPC classification number: G06T7/0014 ,  G06T2207/10088 ,  G06T2207/30016

Abstract: The present application discloses a system and a device for functional connectivity matrix processing based on feature selection using a filtering method, which comprises the following steps: acquiring a preprocessed resting state brain functional magnetic resonance image of a subject; extracting time series; calculating a Pearson correlation coefficient to obtain a Pearson correlation coefficient matrix; vectorizing the Pearson correlation coefficient matrix; calculating quantitative correlation indices using a filtering method, and selecting a quantitative correlation index based on a preset threshold; performing weighting processing a selected functional connectivity feature by using the corresponding quantitative correlation index with high correlation with a disease diagnosis result to obtain a functional connectivity matrix; and obtaining a prediction result from the functional connectivity matrix.

公开(公告)号：US20240145059A1

公开(公告)日：2024-05-02

申请号：US18364470

申请日：2023-08-02

Applicant: ZHEJIANG LAB

Inventor： Jingsong LI ,  Yu WANG ,  Shuang MA ,  Yu TIAN ,  Tianshu ZHOU

IPC: G16H20/10 ,  G16H10/20 ,  G16H10/60

CPC classification number: G16H20/10 ,  G16H10/20 ,  G16H10/60

Abstract: Disclosed is a method and a system for discovering adverse drug reaction signals based on causal discovery. According to the present application, a causality is introduced in the process of discovering adverse drug reaction signals by using electronic medical record data, the data dimension in real-world electronic medical record data is maximally reserved, a Bayesian network structure containing causal effects, as well as a set of confounding factors which plays a role in both a medication intervention and an occurrence of an adverse event are constructed. The method of constructing the set of confounding factors starts from the data, without artificial access and prior knowledge, and retains the confounding factors in the real world to the greatest extent. A medication intervention group and a control group are constructed based on these confounding factors, and the randomized controlled trial is simulated.

公开(公告)号：US11972504B2

公开(公告)日：2024-04-30

申请号：US18324174

申请日：2023-05-26

Applicant: ZHEJIANG LAB

Inventor： Tang Hu ,  Xiao Yu ,  Xiangdi Li ,  Songnan Ren ,  Li Yan

IPC: G06T1/60

CPC classification number: G06T1/60

Abstract: Disclosed a method and a system for overlapping sliding window segmentation of an image based on an FPGA. According to the method, on-chip BRAMs storage resource cost of FPGA is determined; each on-chip BRAM in FPGA is used to cache the pixel data of each segmented sub-image in parallel; when the pixel data received by the BRAMs reaches a preset threshold or the last pixel of the segmented sub-image is written into the on-chip BRAMs, the data is written from the on-chip BRAMs to an off-chip DDR memory in a burst continuous writing mode; the repeated data generated by segmentation of horizontally overlapping sliding windows are written into the on-chip BRAMs corresponding to the current segmented sub-image and adjacent segmented sub-images thereof respectively in a synchronous and parallel manner.