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    Highly flexible, scalable multi blockchain, hierarchical data sharing and data storing system and method thereof
    1.
    发明授权
    Highly flexible, scalable multi blockchain, hierarchical data sharing and data storing system and method thereof 有权

    公开(公告)号：US12242634B2

    公开(公告)日：2025-03-04

    申请号：US17664760

    申请日：2022-05-24

    Applicant: Huazhong University of Science and Technology

    Inventor： Jiang Xiao ,  Jian Chang ,  Junpei Ni ,  Xiaohai Dai ,  Shijie Zhang ,  Hai Jin

    IPC: G06F21/62 ,  G06F16/22 ,  G06F21/60

    Abstract: The present invention relates to a highly flexible, scalable multi-blockchain, hierarchical data-sharing and data-storing system, at least comprising a third-party blockchain system, a data-sharing blockchain system, and an application-layer client, wherein the data-sharing blockchain system performs data aggregation and hierarchical storage on shared data uploaded by the third-party blockchain system through accessing the data-sharing blockchain system, so as to allow the application-layer client to require the shared data from the data-sharing blockchain system. The disclosure herein creates a single reliable data-sharing blockchain apparatus based on blockchain systems, so as to facilitate aggregation of data coming from different blockchain systems, reduce node complexity and block data redundancy when data are acquired from multiple parties, and define different sharing rules for different data contents, thereby being adaptive to scenarios where data are shared among parties.

    NETWORK TRANSMISSION OPTIMIZATION DEVICE FOR GRAPH-TYPE BLOCKCHAIN AND METHOD THEREOF
    2.
    发明申请
    NETWORK TRANSMISSION OPTIMIZATION DEVICE FOR GRAPH-TYPE BLOCKCHAIN AND METHOD THEREOF 有权

    公开(公告)号：US20230130074A1

    公开(公告)日：2023-04-27

    申请号：US17806646

    申请日：2022-06-13

    Applicant: Huazhong University of Science and Technology

    Inventor： Jiang Xiao ,  Bingru Si ,  Jiajie Zeng ,  Shijie Zhang ,  Hanhua Chen ,  Hai Jin

    IPC: H04L45/12 ,  G06F16/27 ,  H04L45/00

    Abstract: The present invention relates to a network transmission optimization device for a graph-type blockchain, at least comprising a transaction processing module, a node managing module, and a route managing module, wherein the transaction processing module performs compression on a transaction, and transaction data obtained through the compression are transmitted among different clusters through a routing node selected by the route managing module from at least one cluster, wherein the at least one cluster is obtained through dividing plural nodes by the node managing module. The network transmission optimization method provides a transaction coding scheme to the existing graph-type blockchain systems, and improve use efficiency of network bandwidth by means of parallelized broadcast. The structured network topology of the network transmission optimization method is made to address delay among nodes, and is adaptive to dynamic joining and exit of nodes, thereby improving network transmission efficiency.

    Graphic-blockchain-orientated hybrid consensus implementation apparatus and implementation method thereof
    4.
    发明授权
    Graphic-blockchain-orientated hybrid consensus implementation apparatus and implementation method thereof 有权

    公开(公告)号：US12124433B2

    公开(公告)日：2024-10-22

    申请号：US17806668

    申请日：2022-06-13

    Applicant: Huazhong University of Science and Technology

    Inventor： Jiang Xiao ,  Shuohua Dong ,  Jingtao Yue ,  Xiaohai Dai ,  Jian Chang ,  Shijie Zhang ,  Hai Jin

    IPC: G06F16/23 ,  G06F16/27

    CPC classification number: G06F16/2379 ,  G06F16/27

    Abstract: The present invention relates to an implementation method for graphic-blockchain-orientated hybrid consensus, at least comprising: calling at least one module to generate a new data block and broadcast it; calling at least one module to check and validate the received new block based on predetermined rules; calling at least one module to generate a void block; and calling at least one module to update a committee member list. The existing graphic blockchain can only achieve probabilistic consensus, yet the present invention achieves deterministic consensus on graphic blockchain for the first time, thereby reaching consensus faster. The present invention decouples generation and consensus of blocks for the first time, so that the two parts can be designed separately in a modularized manner. The present invention provides the first totally decentralized hybrid consensus algorithm in the graphic blockchain. This is unachievable to many existing graphic blockchain such as IOTA and Obyte.

    Network transmission optimization device for graph-type blockchain and method thereof
    5.
    发明授权
    Network transmission optimization device for graph-type blockchain and method thereof 有权

    公开(公告)号：US12113699B2

    公开(公告)日：2024-10-08

    申请号：US17806646

    申请日：2022-06-13

    Applicant: Huazhong University of Science and Technology

    Inventor： Jiang Xiao ,  Bingru Si ,  Jiajie Zeng ,  Shijie Zhang ,  Hanhua Chen ,  Hai Jin

    IPC: H04L45/12 ,  G06F16/27 ,  H04L45/00

    CPC classification number: H04L45/12 ,  G06F16/27 ,  H04L45/46

    Abstract: The present invention relates to a network transmission optimization device for a graph-type blockchain, at least comprising a transaction processing module, a node managing module, and a route managing module, wherein the transaction processing module performs compression on a transaction, and transaction data obtained through the compression are transmitted among different clusters through a routing node selected by the route managing module from at least one cluster, wherein the at least one cluster is obtained through dividing plural nodes by the node managing module. The network transmission optimization method provides a transaction coding scheme to the existing graph-type blockchain systems, and improve use efficiency of network bandwidth by means of parallelized broadcast. The structured network topology of the network transmission optimization method is made to address delay among nodes, and is adaptive to dynamic joining and exit of nodes, thereby improving network transmission efficiency.

    Activity recognition model balanced between versatility and individuation and system thereof
    7.
    发明授权
    Activity recognition model balanced between versatility and individuation and system thereof 有权

    公开(公告)号：US12287719B2

    公开(公告)日：2025-04-29

    申请号：US17247237

    申请日：2020-12-04

    Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

    Inventor： Jiang Xiao ,  Huichuwu Li ,  Minrui Wu ,  Hai Jin

    IPC: G06N20/00 ,  G06F11/34 ,  G06F21/60 ,  G06N7/01

    Abstract: The present invention relates to an activity recognition system balanced between versatility and individuation, comprising a communication framework jointly formed by a data collecting terminal, a computing device, and a cloud computing platform, the activity recognition system uses the communication framework to conduct personnel activity recognition and model updating, and the edge computing device further comprises a model training module and an activity recognition module, and the model training module retrieves a local activity recognition model by continuously verifying user IDs, and uses the first data to train a versatile network structure and an individualized network structure of the local activity recognition model in a way that individuation features of the user and versatility features of the model are fused with each other, so that the personnel activity recognition process conducted by the activity recognition module.

    Method for high-performance traceability query oriented to multi-chain data association
    9.
    发明授权
    Method for high-performance traceability query oriented to multi-chain data association 有权

    公开(公告)号：US11714836B2

    公开(公告)日：2023-08-01

    申请号：US17455502

    申请日：2021-11-18

    Applicant: Huazhong University of Science and Technology

    Inventor： Jiang Xiao ,  Jian Chang ,  Rui Han ,  Xiaohai Dai ,  Hai Jin

    IPC: G06F16/2457 ,  G06F16/248 ,  G06F16/28 ,  G06Q20/38

    CPC classification number: G06F16/288 ,  G06F16/248 ,  G06F16/24575 ,  G06F16/285 ,  G06Q20/3823 ,  G06Q20/3827

    Abstract: The present invention relates a method for high-performance traceability query oriented to multi-chain data association, comprising: identifying a target transaction needing the traceability query; searching out all corresponding target chains based on cross-chain transaction data association; making query requests parallelly; and executing the query among the target chains according to a key value of the target transaction and returning query results. The blockchain traceability query method proposed by the present invention is different from serialized block data query conducted in the chain-type structure, and the disclosed cross-chain query operation can be parallelly executed, leading to improved efficiency of traceability query. Opposite to the conventional blockchain where blocks are used as nodes of chains, the present invention directly uses sub blockchains as nodes of the SRB. Since sub blockchains can be dynamically added or removed, the present invention enhances the scalability of the entire system.

    Method and system for CSI-based fine-grained gesture recognition
    10.
    发明授权
    Method and system for CSI-based fine-grained gesture recognition 有权

    公开(公告)号：US10592736B2

    公开(公告)日：2020-03-17

    申请号：US16105005

    申请日：2018-08-20

    Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

    Inventor： Jiang Xiao ,  Yuxi Wang ,  Hai Jin ,  Mingxuan Ni

    IPC: G06K9/00 ,  G06K9/03 ,  G06F40/232 ,  G06F40/20

    Abstract: The invention provides a method for CSI-based fine-grained gesture recognition, wherein the method comprises the following steps: determining a start point, an end point, a velocity, a direction and/or an inflection point of at least one stroke gesture in multiple dimensions according to an eigenvalue of channel state information; dividing the strokes according to the start point, the end point, the velocity, the direction and/or the inflection point of the stroke using a machine learning method and forming a stroke sequence; building a stroke decipherment model according to frequencies of the strokes appearing in natural language rules and/or scientific language rules and/or connection rules between the strokes; and dividing and recognizing the stroke sequence as a letter sequence, a radical sequence, a numeral sequence and/or a pattern sequence conforming to the natural language rules and/or the scientific language rules using the stroke decipherment model. The present invention involves recognizing strokes of characters from finger gesture, and then recovering characters from the strokes, so as to enrich types of languages that can be recognized from finger gesture and enhance recognition accuracy of gesture writing.

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