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In this paper, the corrosion damage of the aluminum alloy specimens were studied at different temperature for various corrosion times. The surface corrosion damage ratio of aluminum alloy structure was defined to reveal the degree of pit corrosion intensity. Based on the probability model of pitting corrosion growth, a new probability model capable of simulating the surface corrosion damage is developed...
In the transition to a knowledge-based economy, many Asian emerging countries attempt to raise the national investment to develop their science and technological capacity. Science and technological production can be the result of self-propagating growth in the process of diffusion. By theoretical analysis and empirical demonstration, this paper attempts to analyze science and technology by investigating...
Trading volume is not only common market statistics and liquidity indicator, but also full of information. To reduce the risk, investors are used to predicting stock prices by observing trading volume and stock prices together and by analyzing returns and unusual high or low level of volume to signal return-pattern reversed or continued. This paper examines the dynamic return-volume relation to help...
Effective human motion tracking is necessary for all surveillance based biometric applications. Human motion being highly non-linear and non-modular is always difficult to track. To make it more challenging, in real scenarios, there are always multiple targets to be tracked. In this work particle filter based multiple target tracking system is proposed. For performing actual tracking Markov chain...
Bayesian network is a knowledge representation formalism that has been proven to be valuable in gene regulatory network reconstruction. However, it is showed that the structure learning of Bayesian networks is an NP-hard problem. Several heuristic searching techniques have been used to find better network structures. Among these algorithms, K2 algorithm has been found to be the most successful. However,...
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