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Vehicle identification is one of the frequently studied problems in video surveillance. Commonly, identifying an unknown vehicle object requires a large amount of training instances. Unfortunately, in the large parking scenario, the cost may be prohibitively expensive because of the finitely waiting time from the car owners. In this paper, we show that it is possible to identify a registered vehicle...
S-system modeling from time series datasets can provide us with an interactive network. However, system identification is difficult since an S-system is described as highly nonlinear differential equations. Much research adopts various evolution computation technologies to identify system parameters, and some further achieve skeletal-network structure identification. However, the truncated redundant...
As the level of wind power penetration into the grid increases, reactive power control will become more critical for wind farms with fixed-speed wind turbine generators. Capacitor banks are used for reactive power compensation in wind power plant (WPP). This paper focuses on our effort to develop a method to determine the number, sizes and control strategy of capacitor banks. To solve this problem,...
An improved genetic algorithm (IGA) is proposed to achieve S-system gene network modeling of Xenopus frog egg. Via the time-courses training datasets from Michaelis-Menten model, the optimal parameters are learned. The S-system can clearly describe activative and inhibitory interaction between genes as generating and consuming process. We concern the mitotic control in cell-cycle of Xenopus frog egg...
An improved genetic algorithm (IGA) is proposed to achieve S-system gene network modeling of Xenopus frog egg. Via the time-courses training datasets from Michaelis-Menten model, the optimal parameters are learned. The S-system can clearly describe activative and inhibitory interaction between genes as generating and consuming process. We concern the mitotic control in cell-cycle of Xenopus frog egg...
In this paper, a novel method based on hybrid genetic algorithm (GA) was developed to extract parameters of analytical or part-analytical models. It needn't complex computation compared with conventional methods or other compound genetic algorithm. With a simple input file and opening model codes, it was easy to be modified for other models. Using this method, parameters of BSIMPD MOSFET threshold...
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