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594 results about "Consensus method" patented technology

Consensus Methods are adopted by blockchain technology to invalidate (or ignore) such attempts of false information. Consensus: "Come to general agreement". Essentially, a consensus method is employed to allow all actors in the network to come to agreement on what the true information is.

Byzantine-fault-tolerant consensus method applied to block chain

The invention discloses a byzantine-fault-tolerant consensus method applied to a block chain. The method comprises the steps of specifying a certain number of right and interest accounts and initial consensus accounts in an initiated block of the block chain; after a consensus process is started, for the height h of a current block, selecting a consensus account to initiate a proposal of a new block according to a fixed random algorithm in a consensus account list; receiving the proposal and voting a block with the height of h by other consensus nodes; within a period of time, if the number of votes exceeds eta 1, representing that a consensus is formed, and starting the consensus of a block with the height of h+1 in the next round; if the number of votes does not exceed eta 1 but exceeds eta 2, representing that the consensus is possibly formed, broadcasting a voting request of the block in the previous round, and continuing to wait for a period of time; and if the number of votes does not exceed eta 2, cancelling the proposal in the round and re-performing the proposal of the new block. Therefore, computing resources can be saved; a large amount of blocks can be continuously generated; and computing power competition is avoided.
Owner:HANGZHOU YUNXIANG NETWORK TECH

Node consensus verification method under league chain network through asynchronous mode

The invention discloses a node consensus verification method under a league chain network through an asynchronous mode. Each node takes a transaction request from the head of a buffer queue to act as a transaction sequence to be submitted and then encrypts the sequence by using threshold encryption; each node broadcasts the encrypted transaction sequence, ensures the integrity of the transmitted message by using an erasure code and ensures message consistency of different nodes by using a Merkle tree; and all the nodes vote the transaction sequences by using the binary Byzantine consensus agreement to reach a consensus, each node waits for local receiving all the voted transaction sequences and then decrypts the transaction sequences by using threshold decryption so as to finally obtain the decrypted transaction information to act as the transaction request written in blocks within the period. The method is completely decentralized, the system has no timeout mechanism and the broadcast message completely depends on the network bandwidth so that the method has higher network throughput when a large number of nodes exist in the network in comparison with the conventional synchronization Byzantine fault tolerance consensus method.
Owner:HANGZHOU YUNXIANG NETWORK TECH

Blockchain consensus method based on deep learning training task

The invention discloses a blockchain consensus method based on a deep learning training task. The method includes the following steps: all blockchain participation nodes jointly maintain an account book record, any node can publish transactions, the transactions can be distributed to each node through a P2P consensus network, the P2P consensus network may have deep learning task nodes, deep learning tasks can be distributed to all participation nodes, an accounting node combines the deep learning tasks to reach a consensus through a consensus mechanism between the nodes, and transaction confirmation is completed. According to the scheme of the invention, artificial intelligence and a deep learning technology are combined, the proof of work of a blockchain common-chain mining process is added to the deep learning tasks, the problem of energy waste caused by acquiring the accounting rights through a traditional Hash challenge mode can be effectively solved, and the problem of deep learning task training can also be solved to a certain extent; and meanwhile, the proof of work of the mining process retains part of the challenge portion that uses a Hash algorithm SHA256, and thus the randomness of the mining process can be ensured, and the phenomenon that the deep learning giant monopolizes the accounting rights can be avoided.
Owner:山东浪潮数字能源科技有限公司

Block chain system consensus method and device based on improved clustering algorithm

The invention discloses a block chain system consensus method and device based on an improved clustering algorithm. The invention relates to the field of block chains. The method comprises the following steps: enabling the first clustering center node to receive a plurality of requests, packaging the plurality of requests into blocks; broadcasting to the subconsensus cluster to which the subconsensus cluster belongs for consensus; if the block passes the consensus, enabling the block to pass the consensus, broadcasting the blocks to a backbone consensus cluster for consensus; if the consensusof the backbone consensus cluster is passed, enabling each clustering center node to digitally sign and broadcast the block; packaging the received digital signature set and the block into a submission message, broadcasting the submission message to a sub-consensus cluster to which the submission message belongs, receiving the submission message by each non-clustering center node, verifying the digital signature set, and if the transaction content of the block is verified and executed, storing the block in a chain. According to the block chain system consensus based on the improved clusteringalgorithm, the communication frequency and the data transmission amount required by single consensus are reduced, and the working efficiency of the whole block chain system is greatly improved.
Owner:SICHUAN UNIV

Block chain consensus method, device and system, identification information processing method and device

The invention relates to a block chain consensus method. A client sends behavior information carrying a behavior request to a master node; the master node receives the behavior information, and sendsan identification generation request carrying the behavior request to a first trustable device; the first trustable device generates identification information carrying a unique number of the behaviorrequest, and sends the identification information to the master node; the master node broadcasts the identification information to all slave nodes, implements the behavior request, and sends a generated implementation result to the client; each slave node receives the identification information, and then sends an identification verification request carrying the identification information to a corresponding second trustable device; each second trustable device verifies validity of the unique number in the identification information; each slave node receives a validity result returned from thecorresponding second trustable device, then implements the behavior request, and sends a generated implementation result to the client; and the client determines a consensus result based on the received implementation result. The block chain consensus method reduces network and hardware overheads.
Owner:GRG BAKING EQUIP CO LTD

Virtual viewpoint rendering method

Disclosed in the utility model is a virtual viewpoint rendering method. The method comprises the following steps: obtaining a set of left and right viewpoint images shot by a camera and carrying out SIFT feature extraction on the set of viewpoint images to generate feature points and a feature vectors; carrying out Euclidean distance-based feature matching on the feature points of the left and right viewpoint images by the feature vectors to obtain a matching point pair set; calculating a basis matrix for the matching point pair set by using a random sample consensus method and an eight-point method; using homography decomposition to calculate homography matrixes of the left and right viewpoint images based on the basis matrix and using the corresponding homography matrixes to correct the left and right viewpoint images; carrying out stereo matching on the corrected left and right viewpoint images and generating an intermediate viewpoint image by interpolation and synthetizing; carrying out postposition conversion on the synthetized intermediate viewpoint image to obtain a virtual viewpoint image; and carrying out hole filling on the virtual viewpoint image and outputting a final virtual viewpoint image. According to the invention, the real-time performance is improved; the application range is expanded; and software has been made based on the method and is applied to experiment and application.
Owner:TIANJIN UNIV
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