Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

3results about How to "Reduce Interaction Latency" patented technology

Blockchain-based password authentication key exchange and authentication method resistant to quantum attacks

This invention discloses a quantum-attack-resistant blockchain-based password authentication key exchange and authentication method. The method involves inputting preset parameters, a trapdoor, a matrix, a noise vector, a password, and a public key into a computer system; executing a parameter generation algorithm to generate public parameters; executing a hash key generation algorithm to generate a hash key and a projected hash key generation algorithm to generate a projected hash key; generating a tag based on the identifiers of both communicating parties and the projected hash key, encrypting it to obtain ciphertext, and transmitting and receiving the projected hash key and ciphertext from the communicating party; verifying the validity of the communicating party's projected hash key, and generating a session key based on relevant parameters; and finally, the computer system processor executes a computer program and outputs the session key. This invention integrates a lattice-based smooth projected hash function with a trapdoor and a blockchain structure, possessing quantum attack resistance, general composable security characteristics, requiring only one round of communication, and is suitable for large-scale blockchain node scenarios.
Owner:GUIZHOU UNIV

FPGA resource scheduling method for automatic driving perception decision decoupling

ActiveCN122086632AImprove cross-model portabilityincrease elasticityResource allocationCharacter and pattern recognitionHardware architectureLTM - Long-term memory
The invention discloses an FPGA resource scheduling method for automatic driving perception decision decoupling, and relates to the technical field of automatic driving. The method specifically comprises the following steps of: receiving multi-source heterogeneous sensor data by utilizing a reconfigurable sensory memory interface module of a dynamic logic area at the front end of an FPGA (Field Programmable Gate Array), executing time-space synchronization, and performing normalized projection to obtain a driving situation dynamic map data frame; a dual-port cache region is constructed by utilizing a cognitive fusion and working memory module of FPGA on-chip high-speed storage resources, and a multi-channel layered space-time tensor serving as an on-chip data exchange medium is maintained and refreshed in real time; a cognitive decision module of a rear-end static logic area is used for reading the dynamic map, reasoning is conducted in combination with priori knowledge called by a long-term memory interface, and a control instruction is generated; the dynamic map is defined as a standardized boundary of software and hardware interaction, and only a logic circuit of the sensory memory interface module is refreshed when the configuration of the sensor is changed. The objective of the invention is to realize perception and decision decoupling through a standardized architecture of a hardware bottom layer and improve the real-time performance and robustness of a system.
Owner:UNIV OF SCI & TECH OF CHINA

Electronic skin-based semantic interaction method and system, semantic interaction device and computer readable storage medium

PendingCN122284834AEliminate the transmission linkAvoid the Risk of Privacy LeakageData privacy protectionInteraction device
This application relates to the field of human-computer interaction technology, specifically to a semantic interaction method, a semantic interaction system, a semantic interaction device, and a computer-readable storage medium based on electronic skin. The semantic interaction method based on electronic skin is executed by an edge device and includes: receiving sensor data from the electronic skin; identifying the user's original actions based on the sensor data using an action recognition model deployed on the edge device; and if the original action is successfully identified, generating natural language interaction content based on the identified original action using a semantic generation model deployed on the edge device. This solution achieves network-independent semantic interaction by locally integrating action recognition and semantic generation functions on the edge device, which helps reduce interaction latency and improve data privacy protection.
Owner:WUXI MESH TECH CO LTD