公开(公告)号：US11887353B1

公开(公告)日：2024-01-30

申请号：US18549256

申请日：2023-07-18

Applicant: ZHEJIANG LAB

Inventor： Beibei Zhang ,  Feng Gao ,  Mingge Sun ,  Chu Zheng

IPC: G06V10/764

CPC classification number: G06V10/764

Abstract: The present disclosure relates to deep learning image classification oriented to heterogeneous computing devices. According to embodiments of the present disclosure, the deep learning model can be modeled as an original directed acyclic graph, with nodes representing operators of the deep learning model and directed edges representing data transmission between the operators. Then, a new directed acyclic graph is generated by replacing the directed edges in the original directed acyclic graph with new nodes and adding two directed edges to maintain a topological structure.

公开(公告)号：US11876071B1

公开(公告)日：2024-01-16

申请号：US18328797

申请日：2023-06-05

Applicant: ZHEJIANG LAB

Inventor： Weihao Wang ,  Shunbin Li ,  Guandong Liu ,  Ruyun Zhang ,  Qinrang Liu ,  Zhiquan Wan ,  Jianliang Shen

IPC: H01L23/00 ,  H01L23/538

CPC classification number: H01L24/81 ,  H01L23/538 ,  H01L23/5381 ,  H01L23/5382 ,  H01L23/5389 ,  H01L24/11 ,  H01L24/14 ,  H01L2224/11462 ,  H01L2224/1403 ,  H01L2224/145 ,  H01L2224/14131

Abstract: A system-on-wafer structure and a fabrication method. The structure includes a wafer substrate, an integrated chiplet, a system configuration board and a thermal module. The wafer substrate and the integrated chiplet are bonded through a wafer micro bump array and a chiplet micro bump array. The wafer substrate and the system configuration board are bonded through a copper pillar array on wafer substrate topside and a pad on system configuration board backside. A molding layer is provided between the wafer substrate and the system configuration board, and is configured to mold the wafer substrate, the integrated chiplet and the copper pillar array. Integrated chiplet are electrically connected to each other through a re-distributed layer in wafer substrate. The integrated chiplet is electrically connected to the system configuration board through the re-distributed layer and the copper pillar array. The thermal module is attached to the backside of the wafer substrate.

公开(公告)号：US20240015079A1

公开(公告)日：2024-01-11

申请号：US18359862

申请日：2023-07-26

Applicant: ZHEJIANG LAB

Inventor： Congqi SHEN ,  Huifeng ZHANG ,  Shaofeng YAO ,  Qi XU ,  Ruyun ZHANG

IPC: H04L41/16 ,  H04L41/40 ,  G06N20/00

CPC classification number: H04L41/16 ,  H04L41/40 ,  G06N20/00

Abstract: The present disclosure discloses a reinforcement learning agent training method, modal bandwidth resource scheduling method and apparatus. The reinforcement learning agent training method utilizes a reinforcement learning agent to continuously interact with a network environment in a polymorphic smart network to obtain the latest global network characteristics and output updated actions. By adjusting the bandwidth occupied by modals, a reward value is set to determine an optimization target for the agent, the scheduling of modals is realized, and the rational use of polymorphic smart network resources is guaranteed. The trained reinforcement learning agent is applied to the modal bandwidth resource scheduling method, and can adapt to networks with different characteristics, and thus can be used for intelligent management and control of polymorphic smart networks and has good adaptability and scheduling performance.

公开(公告)号：US20240007929A1

公开(公告)日：2024-01-04

申请号：US18325139

申请日：2023-05-30

Applicant: ZHEJIANG LAB ,  INFORMATION ENGINEERING UNIVERSITY

Inventor： Zhongxia PAN ,  Peng YI ,  Le TIAN ,  Tao ZOU ,  Juan SHEN

IPC: H04W40/26 ,  H04W76/25 ,  H04L45/7453 ,  H04L45/02

CPC classification number: H04W40/26 ,  H04W76/25 ,  H04L45/7453 ,  H04L45/04

Abstract: A polymorphic network control system and a polymorphic network control system method supporting terminal mobile access. A network architecture is redesigned based on the idea of separation of an identifier from a locator. In this network mode, the three-layer protocol is no longer a traditional IP message, but a message carrying a locator and an identifier. The polymorphic SDN network controller is responsible for forwarding the data packet to a destination corresponding to a destination locator. When the network location of a mobile device is changed, the transmission connection established based on the identifier will suspend communication due to the disconnection of the physical link. When the mobile device is re-accessed and a new forwarding path is established, the transmission connection can recover communication.

公开(公告)号：US11860893B1

公开(公告)日：2024-01-02

申请号：US17981368

申请日：2022-11-04

Applicant: ZHEJIANG LAB

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

IPC: G06F16/20 ,  G06F16/27 ,  G06F16/25 ,  G06F9/54 ,  H04L67/56

CPC classification number: G06F16/27 ,  G06F9/54 ,  G06F16/256 ,  H04L67/56

Abstract: Disclosed are an input/output proxy method and apparatus for a mimic Redis database. Through a pseudo server module, it is ensured that the interface of the Redis database is consistent with the external interface of the native Redis, so that it is convenient to implant the Redis database into arbitrary Redis application scenarios; the isolation of the modules inside is realized by independent processes, thus facilitating independent development, maintenance and expansion; and the synchronization function is integrated into the input/output proxy to achieve resource reuse; for the synchronization function, the random credit attenuation mechanism is cleverly utilized to ensure the synchronization function while taking into account the saving of resources.

公开(公告)号：US20230409728A1

公开(公告)日：2023-12-21

申请号：US18336053

申请日：2023-06-16

Applicant: ZHEJIANG LAB

Inventor： Jingsong LI ,  Guangyuan DENG ,  Tianshu ZHOU ,  Yu TIAN

IPC: G06F21/62 ,  G06F16/901 ,  G06F21/60 ,  H04L9/30

CPC classification number: G06F21/6218 ,  G06F16/9024 ,  G06F21/602 ,  H04L9/3006

Abstract: Discloses a method and an apparatus for visual construction of a knowledge graph system. In the present disclosure, data permission of a distributed client is determined through a central server. The central server obtains a master template of a knowledge graph system and sends it to the distributed client. The distributed client receives a natural language inputted by a user and parses to generate an abstract syntax tree. The user completes customization of a subtemplate of the knowledge graph system through visual operation. The distributed client encrypts the subtemplate and then sends it to the central server. When the knowledge graph system is to be used, any knowledge concept is inputted, the central server calls and decrypts the subtemplate and then searches a database, and a tree structure knowledge graph is generated and sent to the distributed client.

公开(公告)号：US11810366B1

公开(公告)日：2023-11-07

申请号：US18072002

申请日：2022-11-30

Applicant: ZHEJIANG LAB

Inventor： Hongsheng Wang ,  Guang Chen

IPC: G06V20/58 ,  G06V10/82

CPC classification number: G06V20/58 ,  G06V10/82

Abstract: Disclosed are a joint modeling method and apparatus for enhancing local features of pedestrians. The method includes the following steps: S1: acquiring an original surveillance video image data set, dividing the original surveillance video image data set into a training set and a test set in proportion; S2: cutting the surveillance video image training set to obtain image block vector sequences. In the present disclosure, local features of pedestrians in video images are extracted by a multi-head attention neural network, weight parameters of image channels are learned by channel convolution kernels, spatial features on the images are scanned through spatial convolution, local features of pedestrians are enhanced to improve the recognition rate of pedestrians, a feed-forward neural network and an activation function are adopted, so as to realize pedestrian re-recognition, thereby obtaining face images available.

公开(公告)号：US20230350652A1

公开(公告)日：2023-11-02

申请号：US18110910

申请日：2023-02-17

Applicant: ZHEJIANG LAB

Inventor： Wenyuan BAI ,  Feng GAO

IPC: G06F8/41 ,  G06F8/71

CPC classification number: G06F8/443 ,  G06F8/71

Abstract: A job decomposition processing method for distributed computing, which comprises: analyzing a source program to be run by program static analysis to determine a function call graph contained in the source program; determining feature information of functions contained in the source program by program dynamics analysis or/and a program intelligent decomposition algorithm, wherein the feature information of the functions is used to characterize relevant information when each function is being running; decomposing the source program based on the feature information of the functions, a function relationship and available resource information of a computing platform to form an execution recommendation for each function on the computing platform, i.e., which hardware resources are used for computing each function; finally inserting a modifier in the source program and starting computation on the computing platform.

公开(公告)号：US20230334334A1

公开(公告)日：2023-10-19

申请号：US17833088

申请日：2022-06-06

Applicant: ZHEJIANG LAB

Inventor： Hongsheng WANG ,  Hujun BAO ,  Guang CHEN

IPC: G06N3/10 ,  G06N3/04 ,  G06N7/00

CPC classification number: G06N3/10 ,  G06N3/04 ,  G06N7/005

Abstract: The disclosure discloses a method of executing dynamic graph for neural network computation and the apparatus thereof. The method of executing dynamic graph includes the following steps: S1: constructing and distributing an operator and a tensor; S2: deducing an operator executing process by an operator interpreter; S3: constructing an instruction of a virtual machine at runtime by the operator interpreter; S4: sending the instruction to the virtual machine at runtime by the operator interpreter; S5: scheduling the instruction by the virtual machine; and S6: releasing an executed instruction by the virtual machine. According to the method of executing dynamic graph for neural network computation and the apparatus thereof provided by the disclosure, runtime is abstracted to be the virtual machine, and the virtual machine acquires a sub-graph of each step constructed by a user in real time through the interpreter and schedules, the virtual machines issues, and executes each sub-graph.

公开(公告)号：US20230325934A1

公开(公告)日：2023-10-12

申请号：US18133515

申请日：2023-04-11

Applicant: ZHEJIANG LAB

Inventor： KAI DING ,  CHONGNING NA ,  JIAXI YANG

IPC: G06Q40/08 ,  G06V20/70 ,  G06V10/74

CPC classification number: G06Q40/08 ,  G06V20/70 ,  G06V10/761

Abstract: The present invention discloses a method and system of image annotation and element extraction for automobile insurance anti-fraud. The method of the present invention extracts anti-fraud elements from images such as automobile insurance scene collection and post supplementary images. The system of the present invention comprises an automobile insurance element table construction module, an image acquisition module, an annotation module and an element extraction module, wherein the annotation module comprises a multi-label classification annotation module, an automobile damage location annotation module and a personnel identity annotation module; and the element extraction module is used for performing element extraction on automobile insurance data. The present invention mainly focuses on image element annotation and extraction for automobile insurance anti-fraud, so that the extracted image elements are more objective, automobile insurance structured data which can be used for cross validation is generated, and the data quality is improved.