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With the development of mobile devices, their abilities of computing power, perception and storage have been strengthened greatly, which makes mobile phone-based crowd-sensing meet an opportunity to develop rapidly. But there are still some challenges in the local analysis method of mobile device acting as client terminal. The paper proposes a context speculating method based on an improved fuzzy...
With the development of economy, technology and the continuous improvement of living standards, the application scopes of Small-scale Wireless Sensor Networks become wider and wider. In Wireless Sensor Networks consisting of sensor nodes with limited energy capabilities, energy efficiency is critical for extending the lifetime of networks, which is the most important goal for routing algorithms. During...
A dispatching algorithm of elevator group control system is proposed based on reinforcement learning. Elevator dispatching is modeled by a Markov Decision Process. Then an internally recurrent neural network based reinforcement learning method is designed to find the optimal dispatching policy while the state-action value function is iteratively approximated. Finally, several simulated experiments...
This paper introduces the Particle Swarm Optimization (PSO) in order to solve the problem that the current stochastic and deterministic optimization methods have not yet obtained the perfect solution to avoid local optimal solution, and the optimal search convergence speed is slow. According to the special nature of Switched Reluctance Motor (SRM) and its design features, the paper enhances PSO global...
A fast coreset minimum enclosing ball kernel algorithm was proposed. First, it transfers the kernel methods to a center-constrained minimum enclosing ball problem, and subsequently it trains the kernel methods using the proposed MEB algorithm, and the primal variables of the kernel methods are recovered via KKT conditions. Then, detailed theoretical analysis and rigid proofs of our new algorithm are...
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