Huazhong University of Science and Technology

Jiang Xiao

Hai Jin

Shijie Zhang

Jian Chang

Xiaohai Dai

Huichuwu Li

Minrui Wu

Jiajie Zeng

Junpei Ni

Chen Yu

Feng Cheng

Shuohua Dong

Mingxuan Ni

Wenhui Yang

Bingru Si

Hanhua Chen

Yuxi Wang

Rui Han

Jingtao Yue

The present invention relates to a graphic-blockchain-orientated sharding storage apparatus, at least comprising a first sharding module and a second sharding module, wherein the first sharding module shards nodes having different resource capacity levels based on ledger data organized using a DAG structure, and the second sharding module assigns transactions to the shards matching with execution difficulty levels of the transactions, so that each said transaction is processed and stored in the shard corresponding thereto. The present invention incorporates the sharding technology into a graphic blockchain to provide a graphic-blockchain-orientated sharding storage method, so as to reduce pressure in terms of data storage and transaction processing on nodes of the graphic blockchain system. In addition, nodes, transactions, and data are dynamically divided according to resource heterogeneity among nodes, so as to further enhance performance of the graphic blockchain system while achieving efficient use of resources.

Graphic-blockchain-orientated sharding storage apparatus and method thereof

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.

Activity recognition model balanced between versatility and individuation and system thereof

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.

Highly flexible, scalable multi blockchain, hierarchical data sharing and data storing system and method thereof

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.

Graphic-blockchain-orientated hybrid consensus implementation apparatus and implementation method thereof

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.

Network transmission optimization device for graph-type blockchain and method thereof

The present invention relates to a method of building a dynamic overlay network topology based on cross-chain interaction between blockchains, at least comprising: selecting at least one gateway node and at least one ordinary node from at least one cross-chain interaction node; clustering the ordinary nodes into ordinary node clusters based on a clustering algorithm; building a structured network topology and cross-chain connections between the cross-chain interaction nodes based on the gateway node; performing topology building on the ordinary node clusters based on a breadth-first spanning tree algorithm.

Method of building a dynamic overlay network topology based on cross-chain interaction between blockchains and device therefor

The present invention relates to a multimodal sensing positioning system orientated to a high-risk production environment, the positioning system comprising: at least one positioning terminal, configured to be worn by a to-be-positioned subject and use at least one positioning technique to conduct multimodal sensing positioning so as to identify a current location information of the subject in the high-risk production environment; and a monitoring terminal, communicating with the positioning terminal so as to remotely monitor the current location of the subject. The present invention improves positioning precision while ensuring realtimeness of multimodal positioning.

Multimodal sensing positioning model oriented to high-risk production environment and system thereof

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 for high-performance traceability query oriented to multi-chain data association

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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Hubei, China

Jiang Xiao