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As to the major building in the city currently, the traditional fixed signs of the fire evacuation system can't meet people's security needs any longer and the intelligent fire evacuation system has been the current development direction. This article combined the Dijkstra's algorithm with intelligent fire evacuation system self-developed which identified the fires by analyzing the fire linkage signal...
According to actual recorded data, this paper establishes simulation model of impact load system combining practical situation of distribution network, taking electric arc furnace as a representative load, the text analyzes power quality problems such as voltage flicker, imbalance and harmonic caused by electric arc furnace. Based on this, compensation effects of adopting two types typical parallel...
In this paper, we propose one adaptive pinning synchronization scheme in complex dynamical networks, whose adaptive law is simple in form. When a nonlinear vector field meets different conditions, we prove that the scheme is synchronous and that the synchronous solution is locally and globally asymptotically stabile. We analyze the process of using maximum eigenvalues of low matrix to judge pinning...
The conventional learning algorithm based on BP method may converge to a local minimum, slowly converging speed and is shock before and after the Convergence point. A algorithm based on BP and PID techniques for wavelet network learning was proposed. And PIDBP algorithm can significantly reduce the probability of the emergence of local minimum after adding momentum term, At the same time introduction...
Designers apply bump texture mapping to ceramic products by 3D graphics design software, which is difficult to be operated and time-consuming. Hence, it cannot easily satisfy the users. In order to improve the situation, embossed bump texture mapping based on OpenGL is realized in the paper. Users can design the two-dimensional texture of ceramic products, and obtain bumped and three-dimensional texture...
The Back Propagation (BP) neural network genetic algorithm was used to identify alphabet, and the new algorithm combine the advantages of both genetic algorithm and the BP neural network. Genetic learning algorithm was used for the global optimization and BP training algorithm to accurately optimize the neural network weights and training the neural network to learn letter recognition algorithm. Add-noise...
In this paper, we address the consensus problem of second-order multi-agent systems with two kinds of topologies: fixed topology and time-delay topology. We introduce second-order protocols with and without time-delay and provide the consensus analysis for the topologies. We focus on the stability analysis of the second-order protocols. Finally, simulation results are provided to demonstrate the effectiveness...
This paper describes a reading quality scoring system based on large vocabulary continuous speech recognition (LVCSR). Our previous scoring system was based on forced alignment. A disadvantage of forced alignment based system is it can hardly catch huge kinds of reading miscues, while LVCSR based system avoids this disadvantage. The most challenge was that the LVCSR recognition rate was low on our...
Recently, data streams classification with concept drifting has drawn increasing attention of scholars in data mining, due to the deficiencies of existing algorithms in accuracy and efficient. In this paper, we propose a framework for handling the problem mentioned above using cluster decision tree. We cluster those data which cannot be classified temporarily into n class, and generate new branches...
Underwater target recognition based on S-transform with module time-frequency matrix similarity is studied in the paper. Compute the similarity rate between S-transform with module time-frequency matrix of test sample and which of normal sample. The test sample is classified according to maximum similarity principle. The method can achieve target recognition directly without using auxiliary classifier...
Uncertainty and complexity exist between various fault symptoms and various fault causes in fault diagnosis for poor braking efficiency in hydraulic braking system. Fault diagnosis for poor efficiency in hydraulic braking system as the object of study, the paper develops a solution for fault diagnosis to hydraulic braking system by means of Bayesian network, at the foundation of failure pattern and...
Scientific prediction has an important significance for establishing industrial policy and making plan in economic market. For the purpose of forecasting mineral commodity price accurately, an ARIMA-Markov chain method is proposed based on the study of time series methods and stochastic process theory. In order to test the prediction effect of the proposed method, a case study is carried out through...
The airframe/propulsion integration configuration, brought strong couplings between aerodynamic and propulsion system, making modeling and control of hypersonic vehicles a huge challenge e. Therefore, true reflection the coupling characteristics was great significance. Based on response surface methods, aerodynamic/propulsion coupling model was built in this paper, and small perturbation linear model...
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