Abstract: This invention discloses a multimodal data heterogeneous Transformer-based asset recognition method, system, and device, the method including: collecting various-modal information of an asset, including text information and image information; building an ALBERT model, a ViT model, and a CLIP model; by the ALBERT model, extracting a text information feature; by the ViT model, extracting an image information feature; by the CLIP model, extracting image-text matching information feature; by different channels, applying asset type recognition to information in different modalities; outputting classification information from the different channels; by the CLIP model, generating asset void information; and discriminatively fusing the classification information from the different channels with the matching degree between the image information and the text information obtained by the CLIP model, and outputting final asset class information.

Abstract: A system for enabling escrow-free, secure, and convenient atomic asset swaps between blockchains are provided. In detail, when any group of users reach an agreement on the content of cross-chain asset swap transactions, each participant creates an individual signature on the content of each transaction, employs a reversible signature aggregate function to produce an aggregate signature from all his/her individual signatures, and optionally generates a proof to prove the relationship between the aggregated signature and the transaction contents. Sequentially, all the participants exchange these aggregated signatures and optional proofs. Once a participant publishes one of his/her individual signature, the other parties can use both signatures—one from the sender and the other from the recipient—to construct a complete transaction. Once a transaction is broadcast, its corresponding transactions are constructed, and broadcast.

Abstract: A fault-tolerant asset transferring method is provided to prevent financial losses caused by human errors, specifically unintentional mistakes made by the payer. The system introduces a new definition for blockchain transaction parameters, allowing for multi-input transactions. Each payment transaction includes the payee's signature for confirmation and the payer's signature. In addition, a system is designed to handle multi-input asset transfer transactions which incorporate the payer's confirmation. Upon reaching an agreement on the transaction content, each participant generates an independent off-chain signature on the transaction's content. In the event that participants generate a signature on the erroneous content of a transaction, the transaction will be accepted in the blockchain with very low probability due to transaction validation.

Abstract: A thermal management component is provided, including a first substrate (111) and a second substrate (112). The first substrate (111) is provided with at least seven interfaces. The first substrate (111) is provided with at least seven flow channels. The at least seven flow channels communicate with the at least seven interfaces. The first substrate (111) is provided with a control valve. The control valve is configured to control communication between the at least seven flow channels to control communication between the at least seven interfaces. The second substrate (112) is disposed on a first side of the first substrate (111). The second substrate (112) is provided with through holes corresponding to the interfaces disposed on the first side of the first substrate (111). The interfaces disposed on the first side of the first substrate (111) respectively pass through the corresponding through holes. A thermal management system and a vehicle are further disclosed.

Abstract: A multi-source image correspondence method and system based on heterogeneous model fitting is provided, the method includes the following steps: constructing a multi-orientation phase consistency model, fusing phase consistency, image amplitude, and orientation detection feature points, constructing logarithmic polar coordinate descriptors with variable-size bins using sub-region grids and orientation histograms, effectively estimating model parameters through heterogeneous model fitting, accumulating matching pairs from different heterogeneous models that meet a preset joint position offset transformation error, outputting a final matching pair, and completing multi-source image correspondence.

Abstract: Method, device and system for building blockchain-based secure aggregation in federated learning with data removal are provided. The method includes: selecting a first quantity of client nodes, to participate in an i-th iteration; sending a list of the selected client nodes to each of the first quantity of client nodes; acquiring model training information transmitted by each of a second quantity of client nodes, the model training information being transmitted in a form of cypher text, where the cypher text is generated by performing homomorphic encryption on the model training information based on pairwise seeds computed for each of the first quantity of client nodes from a symmetric bivariate polynomial and a private seed computed from asymmetric bivariate polynomial; aggregating the cypher text to obtain an aggregate result; and broadcasting a list of the second quantity of client nodes and the aggregate result via a blockchain.

Abstract: A method and system for atomic, consistent and accountable cross-chain rewriting are provided. The method is applicable for a blockchain network comprising a set of correlative blockchains. The method includes: in response to a user redaction proposal for any of the correlative blockchains, generating a set of correlative redaction proposals that involve all related transactions depending on a target transaction to be redacted by the user redaction proposal, based on a transaction dependency graph representing a dependency relationship of transactions, wherein at least one of the transactions in the transactions is to be redacted by the user redaction proposal; validating the user redaction proposal and the correlative redaction proposals, according to a predefined cross-chain redaction policy; calling the correlative blockchains for executing the validated redaction proposals; and updating the transaction dependency graph in response to execution of the validated redaction proposals.

Abstract: Disclosed are a neural network model update method and device, and a computer storage medium. The method includes: randomly generating a preset number of sub-neural network models as nodes in a blockchain; using a ring signature to share a local data set in the blockchain, and uniformly dividing a data set in the blockchain to generate a training set and a test set; training each node through the training set to generate a trained model, packaging the trained model as a model transaction and sharing the model transaction in the blockchain; using the test set selected by voting to test the model transaction and generating a test result; when the test result is greater than a benchmark evaluation, taking the sub-neural network model corresponding to the test result as a valid vote; and voting a previous block corresponding to the valid vote, selecting a consistent block, and updating all nodes.

Abstract: Disclosed is a method for constructing an auditable and privacy-preserving collaborative deep learning platform based on a blockchain-empowered incentive mechanism, which allows trainers of multiple similar models to cooperate for training deep learning models while protecting confidentiality and auditing correctness of shared parameters. The invention has the following technical effects. Firstly, the encryption method used by model trainers protects the confidentiality of sharing parameters; furthermore, the updated parameters are decrypted through the cooperation of all participants, which reduces the possible disclosure of parameters. Secondly, the encrypted parameters are stored in the blockchain, and are only available to participants and authorized miners who are responsible to update parameters.

Abstract: Disclosed is a method for constructing an emergency reporting system of vehicle networking based on multi-signatures, which comprises the following steps: initializing an emergency reporting system to obtain a public-private key pair and pre-calculation parameters of a vehicle set; obtaining authentication information of the emergency based on the public-private key pair and the pre-calculation parameters; integrating the authentication information to obtain multi-signatures of the emergency; and completing the system construction by regulating a traffic state based on the multi-signatures. The method realizes the efficient signature generation function of the vehicle with limited computing resources, reduces the communication pressure and computing pressure of roadside units, and may effectively prevent the common rogue key attacks in other schemes.

Abstract: Disclosed is a method for constructing an emergency reporting system of vehicle networking based on multi-signatures, which comprises the following steps: initializing an emergency reporting system to obtain a public-private key pair and pre-calculation parameters of a vehicle set; obtaining authentication information of the emergency based on the public-private key pair and the pre-calculation parameters; integrating the authentication information to obtain multi-signatures of the emergency; and completing the system construction by regulating a traffic state based on the multi-signatures. The method realizes the efficient signature generation function of the vehicle with limited computing resources, reduces the communication pressure and computing pressure of roadside units, and may effectively prevent the common rogue key attacks in other schemes.

Abstract: With the popularity of Blockchain comes grave security-related concerns. Achieving privacy and traceability simultaneously remains an open question. Efforts have been made to address the issues, while they may subject to specific scenarios. The present disclosure proposes a method, a system, and a device for maintaining privacy and traceability of a Blockchain-based system. The method includes: registering in a Blockchain-based system; transmitting a message from a transmitter T to a receiver R via an anonymous network, after a registration request of the transmitter T has been approved and storing message transmission data generated during a message transmission process in a Blockchain; and performing an identity disclosure by using the message transmission data when the message is detected to be false. The anonymous network may transmit the message by onion routing. The solution proposed by the present disclosure can achieve traceability and privacy for a Blockchain-based system simultaneously.

Abstract: A mechanism is provided for automatically detecting, diagnosing, transporting, and repairing devices having failed during burn-in testing. Embodiments provide a system that monitors devices undergoing burn-in testing and detecting when a device or a component within a device fails the burn-in test. Embodiments can then alert burn-in-rack monitor personnel of the device failure. Embodiments can concurrently determine the nature of the failure applying a machine learning-based prediction model against log files associated with the failed device. The diagnosis along with a recommended repair strategy can be provided to the repair center as an aid in accelerating the repair process. In addition, the diagnosis can be used to order parts for the repair from a parts depot. In this manner, embodiments can reduce the time for detection, diagnosis, and repair of the failed device.

Abstract: Disclosed are a data file distribution method and equipment, a smart device and a computer storage medium. The method includes the following operations: sorting data files according to an access frequency of each data file, a sorting mode including an ascending order or a descending order; dividing the data files into at least two data blocks according to a sorted order, numbers of data files in the at least two data blocks being equal; merging the data files in each of the at least two data blocks in pairs to update the data files; sorting the updated data files according to the access frequency of each data file until the numbers of the data files are equal to numbers of distributed nodes; and placing the data files on corresponding distributed nodes.

Abstract: Disclosed are a neural network model update method and device, and a computer storage medium. The method includes: randomly generating a preset number of sub-neural network models as nodes in a blockchain; using a ring signature to share a local data set in the blockchain, and uniformly dividing a data set in the blockchain to generate a training set and a test set; training each node through the training set to generate a trained model, packaging the trained model as a model transaction and sharing the model transaction in the blockchain; using the test set selected by voting to test the model transaction and generating a test result; when the test result is greater than a benchmark evaluation, taking the sub-neural network model corresponding to the test result as a valid vote; and voting a previous block corresponding to the valid vote, selecting a consistent block, and updating all nodes.

Abstract: A method for pairing a plurality of devices in the context of internet of things (IoT), including: connecting power supplies of the plurality of devices to a same power source, wherein the plurality of devices includes an initiator device and a responder device; synchronizing clocks of the initiator device and the responder device; switching the power source off and on for a plurality of times n; recording time stamps S(T)={T1, T2, T3, . . . Tn} corresponding to time stamps when the initiator device and the responder device switch off in response to switching off of the power source; and performing the pairing of the initiator device and the responder device if each of the initiator device time stamps is within a predefined delay tolerance of a corresponding time stamp of the responder device time stamps, otherwise rejecting the pairing of the initiator device and the responder device.

Abstract: A method of digital forensics based on blockchain technology and a fine-grained access control scheme, using a finite state machine (FSM) based on smart contracts to manage a digital certificate, where a law enforcement agency ends the warrant request to a court and upon approval of the request collects the forensics data by obtaining the master secret key for accessing the forensic data from a plurality of authorities. The forensics data are encrypted by D-KP-ABE (Distributed Key Police Attribute-based Encryption) with privacy-preserved access policy. The secret sharings are required to form the decryption key for accessing the forensics data. The secret sharings are distributed among the plurality of authorized authorities so that no individual authority has a complete master key by itself. Each state of the FSM requires digital signature(s) of at least one specific authorized authority for transitioning to a next state.

Abstract: A mechanism is provided for automatically detecting, diagnosing, transporting, and repairing devices having failed during burn-in testing. Embodiments provide a system that monitors devices undergoing burn-in testing and detecting when a device or a component within a device fails the burn-in test. Embodiments can then alert burn-in-rack monitor personnel of the device failure. Embodiments can concurrently determine the nature of the failure applying a machine learning-based prediction model against log files associated with the failed device. The diagnosis along with a recommended repair strategy can be provided to the repair center as an aid in accelerating the repair process. In addition, the diagnosis can be used to order parts for the repair from a parts depot. In this manner, embodiments can reduce the time for detection, diagnosis, and repair of the failed device.

Abstract: With the popularity of Blockchain comes grave security-related concerns. Achieving privacy and traceability simultaneously remains an open question. Efforts have been made to address the issues, while they may subject to specific scenarios. The present disclosure proposes a method, a system, and a device for maintaining privacy and traceability of a Blockchain-based system. The method includes: registering in a Blockchain-based system; transmitting a message from a transmitter T to a receiver R via an anonymous network, after a registration request of the transmitter T has been approved and storing message transmission data generated during a message transmission process in a Blockchain; and performing an identity disclosure by using the message transmission data when the message is detected to be false. The anonymous network may transmit the message by onion routing. The solution proposed by the present disclosure can achieve traceability and privacy for a Blockchain-based system simultaneously.

Abstract: A method of digital forensics based on blockchain technology and a fine-grained access control scheme, using a finite state machine (FSM) based on smart contracts to manage a digital certificate, where a law enforcement agency ends the warrant request to a court and upon approval of the request collects the forensics data by obtaining the master secret key for accessing the forensic data from a plurality of authorities. The forensics data are encrypted by D-KP-ABE (Distributed Key Police Attribute-based Encryption) with privacy-preserved access policy. The secret sharings are required to form the decryption key for accessing the forensics data. The secret sharings are distributed among the plurality of authorized authorities so that no individual authority has a complete master key by itself. Each state of the FSM requires digital signature(s) of at least one specific authorized authority for transitioning to a next state.