Due to the existence of a large number of different brands and models of equipment and systems in the power system, the CPU control system in the power system is prone to system integration and compatibility problems. In order to ensure the smooth application of CPU control system in electric power system, the research on the application of CPU control system in electric power system based on ARM processor is proposed. The CPU control system architecture of ARM processor is established, and the irregular characteristics and task attributes of computational tasks such as sparse matrix operations in power system topology analysis are analyzed. Subsequently, a general optimization criterion for GPU parallel algorithm design is proposed. Experimental results show that the above CPU control system for topology analysis algorithms in power systems achieves a 6-fold acceleration ratio relative to the 8-threaded CPU algorithm on a 30,000-node system, and more than a 4-fold acceleration in the full process of topology analysis.
The conventional multi-path coherent source moving target location method focuses on signal processing. Although it reduces the location interference, part of the sound source information may become invalid, affecting the location accuracy. Therefore, a joint localization algorithm based on DOA clustering algorithm for multi-path coherent source moving target and multiple sound sources is designed. Map the DOA sound source feature interval of the moving target of multipath coherent source, extract the DOA feature of the multi-path coherent source from the received signal, and provide basic conditions for subsequent sound source localization. Based on the DOA clustering algorithm, a joint localization model of multiple sound sources of source moving targets is constructed. With DOA characteristics as the basic condition, different sound source signals are separated through the clustering algorithm to ensure the accuracy of source moving target localization. Solve the optimal vector of multi sound source coherent source moving target joint positioning array, determine the optimal position of each sound source receiving point in the source moving array, and achieve multi sound source joint precise positioning. Simulation experiments show that the algorithm has higher positioning accuracy and can be applied in real life.
QR code is widely used in many scenarios including online transactions, warehousing, manufacturing and authentication. However, in the era of continuous development of quantum technology, the traditional QR code encryption method has low security in front of quantum technology, and information is easy to be stolen and forged. In response to the above problems, we consider combining post-quantum cryptography with QR code. In this work, we propose a quantum-safe, anti-counterfeiting and tamper-proof QR code based on lattice-based cryptography. The proposed QR code technique features two advantages: (a) it can be easily deployed on mobile phone apps and the verification is computationally efficient; (b) it is safe under quantum attacks and impossible to be forged and imitated in plausible quantum future.
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