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5results about How to "Improve parallel processing capabilities" patented technology

Multifunctional PLC (Programmable Logic Controller) expansion device based on FPGA (Field Programmable Gate Array) and configuration method thereof

The invention discloses a multifunctional PLC expansion device based on an FPGA and a configuration method thereof.The device comprises the FPGA, the FPGA comprises a communication module, a function configuration module, a pulse output module, a serial port module, a pulse counting module and an IO control module, the communication module is used for receiving a configuration instruction, and the function configuration module is used for receiving the configuration instruction; the function configuration module is respectively connected with the communication module, the pulse output module, the serial port module and the pulse counting module, and is used for selectively activating any one of the pulse output module, the serial port module or the pulse counting module according to the configuration instruction; and the IO control module is respectively connected with the pulse output module, the serial port module and the pulse counting module for function output.
Owner:FUZHOU WECON ELECTRONICS TECH

LDPC code decoding method and device, electronic equipment and storage medium

PendingCN122600996AAchieve co-optimizationlittle correlation
The application provides an LDPC code decoding method and device, electronic equipment and storage medium. The method comprises the following steps: obtaining an input code word, a grouped check matrix and an initial confidence of an LDPC code, wherein the grouped check matrix is obtained by grouping an original check matrix according to a preset condition; presetting two initial quantization values with a given magnitude bit width, calculating an initial companion based on the input code word and the grouped check matrix; starting from the initial companion and the two initial quantization values, performing decoding iteration column by column, updating a current column variable node in the iteration, obtaining a soft decision message and transmitting the soft decision message to a next column, updating an associated grouped check node, and performing post-processing compensation on an oscillation correctable code word; updating the companion after each column is updated and judging a decoding success condition; and outputting a result when the condition is met or a maximum iteration number is reached. The scheme can realize the collaborative optimization of decoding performance and hardware implementation efficiency.
Owner:DAPUSTOR CORP

Rail type moving structure of grabbing robot

The utility model relates to the technical field of machining and manufacturing, in particular to a grabbing robot rail type moving structure which comprises a rail system, a material conveying system, a moving platform, a grabbing robot and a control system. Cooperative operation of the multiple grabbing robots is achieved through the rail type moving structure, a single-line single-device mode is upgraded to a distributed cluster operation mode, operation efficiency is improved, meanwhile, single-point bottleneck is eliminated, material conveying and grabbing rhythm separation is achieved, restriction of starting and stopping of a traditional single device on a whole production line is avoided, production continuity is improved, and production cost is reduced. The method has wide applicability in the fields of industrial automation, logistics storage and the like, and economic benefits are remarkable.
Owner:TAIZHOU FENGHEGU FEED CO LTD

Verifiable fair broadcast proxy re-encryption method based on SM9 and hardware architecture thereof

PendingCN121770813AFlexible conversion capabilitiesBreak through application limitationsKey distribution for secure communicationSpecial service provision for substationHardware architectureCiphertext
The invention discloses an SM9-based verifiable fair broadcast proxy re-encryption method and a hardware architecture thereof, and relates to the technical field of information security. The re-encryption method comprises the following steps: encrypting an original message based on SM9 to generate an initial ciphertext, generating a re-encryption key based on a private key of a data owner and an authorized user identifier set, and sending the initial ciphertext and the re-encryption key to a proxy server; the proxy server performs re-encryption operation on the initial ciphertext based on the re-encryption key to generate a re-encrypted ciphertext, and broadcasts the re-encrypted ciphertext to all authorized users, and the authorized users perform decryption verification on the received re-encrypted ciphertext by using own private keys; and a public verifier can perform verification arbitration on the re-encrypted ciphertext based on a non-interactive zero-knowledge proof protocol. According to the re-encryption method provided by the invention, a multi-user application scene is expanded, direct verification of the re-encrypted ciphertext is realized, and a fair and neutral dispute judgment rule is established.
Owner:JINAN UNIVERSITY +1

A generative neural network model for processing audio samples in a filterbank domain

ActiveCN116391191Banti-aliasingImprove parallel processing capabilitiesNeural learning methodsPattern recognitionNeural network system
A neural network system is provided that implements a generative model for autoregressively generating a distribution of a plurality of current filterbank samples of an audio signal, where the current samples correspond to a current time bin, and each current sample corresponds to a channel of the filterbank. The system includes a hierarchy of a plurality of neural network processing layers ordered from a top layer to a bottom layer, each layer trained to generate conditioning information based on previous filterbank samples, and for at least each layer other than the top layer, also based on conditioning information from a higher layer in the hierarchy; and an output stage trained to generate a probability distribution based on previous samples of one or more previous time bins and conditioning information from the lowest processing layer.
Owner:DOLBY INTERNATIONAL AB