Abstract: The present invention relates to an interference-based method for knowledge graph completion and system thereof, wherein the method at least comprises: when performing sampling on a knowledge graph, constructing a knowledge graph completion model; performing model training and performance evaluation on the knowledge graph completion model; and performing prediction on missing elements of incomplete triples in the knowledge graph; the knowledge graph completion model is constructed through: based on optical interference and superposition principles, constructing a score function from data of superposed luminous intensities, mirroring the triples in the knowledge graph to a process of superposition of the luminous intensities, and differentiating between positives and negatives obtained during the sampling of the knowledge graph.

Abstract: A method for synchronizing neighboring tiles in an electronic map is described. The method includes grouping neighboring tiles of the electronic map into a plurality of tile groups. The method also includes selecting a first tile group and a second tile group that border one another on at least a first tile in the first tile group and a second tile in the second tile group. The method further includes independently optimizing the first tile group and the second tile group if a feature crosses between the first tile group and the second tile group. The method also includes shifting a border of the first tile group and a border of the second tile group to join the first tile and the second tile in the second tile group or the first tile group.

Abstract: The present invention relates to system and method for user-controllable sharing of authorization for private data, wherein the system at least comprises: a blockchain node, for recording and verifying transaction information and/or completing payment, a client, for encrypting a symmetric key into a re-encryption key to be sent to an IPFS node, so that after a re-encryption request it sends to the IPFS node is verified as valid, the client sends the symmetric key to a server; the IPFS node, for calling a zero-knowledge proof verification contract from the blockchain node in response to the re-encryption request from the client, and performing authorization and verification; a server, for sending first encrypted data involving user authorization to the IPFS node, and/or acquiring the symmetric key sent by the client and capable of decrypting authorization data.

Abstract: The present invention relates to a relation-enhancement knowledge graph embedding method and system, wherein the method at least comprises: performing collaborative coordinate-transformation on entities in the knowledge graph; performing relation core enhancement by means of relation-entropy weighting, so as to endow entity vectors with strong relation property; building an interpretability mechanism for a knowledge graph embedding model, and accounting for effectiveness and feasibility of the relation enhancement by proving convergence of the knowledge graph embedding model; and using a dynamic parameter-adjusting strategy to perform learn representation learning of to the vectors in the knowledge graph, and configuring deviation control to ensure accurate embedding.

Abstract: 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.

Abstract: A method for increasing the difficulty for attackers to launch keyword guessing attacks, which uses a time-delay encryption with a keyword search based on a public key that generates searchable ciphertexts and/or files ciphertexts for keywords of at least one file that uploaded by time-delay encryption from a cloud server. A system for implementing the method is also described.

Abstract: 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.

Abstract: The present invention relates a method for ensuring search completeness of searchable public key encryption, applicable to a blockchain network formed by a plurality of computer nodes. The method at least comprises: the blockchain network receiving a keyword ciphertext and a corresponding file-identifier ciphertext generated by a transmitting end based on the public key encryption, and at least one miner storing the ciphertexts in a ciphertext table; the blockchain network receiving a search trapdoor Tw transmitted by a receiving end, generated according to a private key and a keyword w to be searched; the at least one miner in the blockchain network performing a secure search based on information of a state table and the search trapdoor Tw, and outputting a search result to the blockchain network; and the blockchain network feeding the search result back to the receiving end.

Abstract: The present invention relates to a relation-enhancement knowledge graph embedding method and system, wherein the method at least comprises: performing collaborative coordinate-transformation on entities in the knowledge graph; performing relation core enhancement by means of relation-entropy weighting, so as to endow entity vectors with strong relation property; building an interpretability mechanism for a knowledge graph embedding model, and accounting for effectiveness and feasibility of the relation enhancement by proving convergence of the knowledge graph embedding model; and using a dynamic parameter-adjusting strategy to perform learn representation learning of to the vectors in the knowledge graph, and configuring deviation control to ensure accurate embedding.

Abstract: The present invention provides a system for privacy protection during IoT secure data sharing and a method thereof. The present invention relates to IoT data sharing, wherein it allows users to securely share data encrypted through decentralized attribute-based encryption on a blockchain-based platform without disclosing their attribute permission, so that individual users will not be identified according to their attributes, thereby protecting user privacy. The present invention also enables users sharing encrypted data and achieving traceability and accountability in the event of privacy breach. The present invention further provides an approach to verifying user permission using an attribute-based zero-knowledge proof, so as to securely and reliably verify whether permission of a data user is real.

Abstract: Systems and methods for controlling the operation of an autonomous vehicle are disclosed herein.

Abstract: The present invention relates to a post-exascale graph computing method, and corresponding system, storage medium and electronic device. The invention solves the problems of low computing performance, poor scalability and high communication overhead in the large-scale distributed environment, and improves the performance of the supercomputer when supporting large-scale graph computing.

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.

Abstract: A method for traffic light auto-labeling includes aggregating vehicle-to-infrastructure (V2I) traffic light signals at an intersection to determine transition states of each driving lane at the intersection during operation of an ego vehicle. The method also includes automatically labeling image training data to form auto-labeled image training data for a traffic light recognition model within the ego vehicle according to the determined transition states of each driving lane at the intersection. The method further includes planning a trajectory of the ego vehicle to comply with a right-of-way according to the determined transition states of each driving lane at the intersection according to a trained traffic light detection model. A federated learning module may train the traffic light recognition model using the auto-labeled image training data during the operation of the ego vehicle.

Abstract: A capacitor includes an active layer, a gate insulation layer on the active layer, a gate electrode on the gate insulation layer, an interlayer insulating layer on the gate electrode, and a first electrode on the interlayer insulating layer and connected to the active layer through at least one contact hole.

Abstract: A display device according to one or more embodiments includes a substrate, common voltage lines on the substrate, and extending in a second direction, connection electrodes on the common voltage lines, an emission layer on the connection electrodes, a common electrode on the emission layer, and a voltage applying portion configured to apply a common voltage to the common electrode, wherein the emission layer defines openings for connection through which the common electrode is electrically connected with respective ones of the connection electrodes, and wherein distances between respective adjacent ones of the openings for connection increase as a distance from the voltage applying portion increases along the second direction.

Abstract: An ethylene-(meth)acrylic acid copolymer has a portion having a melting temperature of 94° C. or higher. A content of the portion having the melting temperature of 94° C. or higher measured by a Successive Self-nucleation and Annealing (SSA) analysis is 1.5% or less. A water-dispersive composition includes the ethylene (meth)acrylic acid copolymer, a neutralizing agent and an aqueous medium.

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.

Abstract: The present invention relates to method and device for text-enhanced knowledge graph joint representation learning, the method at least comprises: learning a structure vector representation based on entity objects and their relation linking in a knowledge graph and forming structure representation vectors; discriminating credibility of reliable feature information and building an attention mechanism model, aggregating vectors of different sentences and obtain association-discriminated text representation vectors; and building a joint representation learning model, and using a dynamic parameter-generating strategy to perform joint learning for the text representation vectors and the structure representation vectors based on the joint representation learning model. The present invention selective enhances entity/relation vectors based on significance of associated texts, so as to provide improved semantic expressiveness, and uses 2D convolution operations to train joint representation vectors.

Abstract: The present disclosure relates to a tensor-based optimization method for GPU memory management of deep learning, at least comprising steps of: executing at least one computing operation, which gets tensors as input and generates tensors as output; when one said computing operation is executed, tracking access information of the tensors, and setting up a memory management optimization decision based on the access information, during a first iteration of training, performing memory swapping operations passively between a CPU memory and a GPU memory so as to obtain the access information about the tensors regarding a complete iteration; according to the obtained access information about the tensors regarding the complete iteration, setting up a memory management optimization decision; and in a successive iteration, dynamically adjusting the set optimization decision of memory management according to operational feedbacks.