Multi-Layer Perceptrons (MLP) are powerful tools for representing complex, non-linear relationships, making them essential for diverse machine learning and AI applications. Efficient hardware implementation of MLPs ca...
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Withthe large-scale growth and integration of electric vehicles and renewable energy into the grid, it has caused an undeniable impact on the voltage quality of the distribution network, and voltage regulation resour...
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Quantum computing, despite its vast potential, is impeded by challenges like decoding and system noise, necessitating effective quantum error correction techniques. Our study investigates these techniques, focusing on...
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this paper addresses leader-following secure consensus control problem for multi-Agent systems subject to positive constraints and random packet losses. Firstly, a random packet loss model is established by employing ...
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this paper addresses the challenge of grid map accuracy errors in multi-map merging, focusing on developing a robust and consistent occupancy grid map. To enhance feature point detection, the oFAST algorithm usingadap...
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In this article the main aspects related to the influence of electricity quality violations on the work of electrical equipment, including specialized for medical institutions, are considered. For health-care faciliti...
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Pump hydro energy storage (PHES) is vital for grid stability. the traditional system lacks flexibility, so variable-speed machines are gaining attention. the study focuses on a variable-speed brushless direct current ...
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this paper investigates the application of large language models (LLMs) for the automated translation and information extraction of access control policies from a natural language source. Prior research in this domain...
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the optimization algorithm for Energy Efficient Train control (EETC) must meet train operation's safety, punctuality, and energy-saving characteristics under complex engineering constraints, which poses significan...
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the optimization algorithm for Energy Efficient Train control (EETC) must meet train operation's safety, punctuality, and energy-saving characteristics under complex engineering constraints, which poses significant challenges theoretically and practically. this paper proposes an improved Dynamic programming (DP) algorithm to solve the EETC problem. this algorithm creates a state space table, layers the states according to the location of the road section, solves the objective function value of the state space table from the back to the front, and then obtains the optimized speed track. this algorithm optimizes the state space twice before and after offline computation, greatly reducing the number of state spaces and achieving memory storage of only about 400 MB (or even less). Based on this state storage, the optimized speed trajectory can be obtained within 20 ms. the proposed algorithm is compared with mixed integer Linear programming (MILP) and Convex optimization (CO). this method's real-time energy-saving optimization performance is similar to that of MILP and CO, and the real-time track acquisition speed is at themillisecond level. Moreover, it has no requirements for the high performance of the computer CPU and the allocation of high-quality stable solvers and has more advantages in security and practicality.
Community structure is one of the intrinsic properties of complex networks and the study of community detection has captured more and more attention from researchers. In this paper, a new community detection algorithm...
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