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To solve the lack of accurate evaluation methods in current large-scale cloud systems, a new evaluation model, named C-ANP, is proposed in this paper, which is based on Analytic Network Process approach (ANP). C-ANP is adaptive to the quantitative evaluation and active description of cloud system, thus can effectively model and evaluate the complex cloud system, which has many distinct characters...
The DFIG-wind turbine, can create the potential instability to the existent power grid, equivalently presenting itself as a random voltage source with its dynamic impedance, which has the implicit and varying electrical characteristics with the changeable rotor speed. Thus, it inevitably leads to the mutual interaction between DFIG-wind turbines themselves and dynamic custom loads. This paper studies...
To improve the jumping performance and reduce the modeling complexity, a pneumatic wheeled typed jumping robot is designed, the takeoff angle of which can be adjusted while it starts jumping. The double-acting cylinder with the power source of liquid carbon dioxide is used as jumping mechanism. The changes of the precise equations of the internal pressure in the cylinders are established and a cylinder...
The automaton of program behavior based on system call is often used to model program behavior. The automaton of program behavior based on system call and time interval is proposed, which overcomes one of drawbacks of traditional automaton of program behavior based on system call: inability to monitor the program behavior between adjacent system calls. The method of quantifying time intervals between...
The structure of market information transmission dynamics can affect homogeneity of the investors. It can influence market prices further as investor structure is one of the key factors for capital market which determines the volatility of market prices. In this paper, an cellular automata based Artificial Financial Market model, including information transmission network among investors, was built...
The decisions of investors in capital market are based on the predictions of market prices. These predictions are not independent. Instead, they are strongly affected by interactions among investors. This article presents an artificial stock market, which is based on cellular automaton and is able to simulate the transaction rules in China stock market. In this artificial stock market, predictions...
By combining Fractional Spectral Subtraction (FSS) with Perceptual Linear Predictive (PLP), a hybrid method of noise robustness speech recognition isinvestigated in this paper. This method uses FSS for noisy speech to reduce noise components in the fractional Fourier domain. According to the results ofcomputing Itakura distance and Mean Square Error (MSE), an approximate optimal fractional order is...
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