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Traditional Savonius wind turbine has advantages such as simple structure, fast start-up, etc., however, it also has significant disadvantages of low wind energy utilization efficiency. A novel wind turbine is proposed by improving structure of Savonius wind turbine in order to increase the low wind energy utilization efficiency. To compare performance of the novel wind turbine and the Savonius wind...
From the perspective of brand personality and using Optimal Error Analysis, we then develop a method to measure brand overlap. Using this method we then conduct an empirical analysis of brand overlap within China's the digital camera industry. Finally, by incorporating multidimensional analysis, we explore ways to further improve our method.
Based on multi-layer state space model, the paper proposes a five-layer energy information hierarchical model, and presents a rank normal cloud conversion model to complete the transforming between energy grade and value. To meet the demands of the research, the rank conversion cloud includes two parts, the single energy rank conversion cloud and the integrated energy rank conversion cloud. Finally,...
In view of the characteristics of complex system, such as decomposability, complex internal connection, the paper researches multi-layer state space model, and further discusses a same level system mode with graph theory. Finally, it puts forward a multi-layer state space modeling way of complex system based on graph theory, and uses the way to complete a renewable energy statistical analysis model...
The support vector machine (SVM), proposed by Vapnik (1995), has been successfully applied to classification, cluster, and forecast. This study proposes support vector regression (SVR) to forecast real estate prices in China. The aim of this paper is to examine the feasibility of SVR in real estate price prediction. To achieve the aim, five indicators are selected as the input variables and real estate...
Due to the fluctuation and complexity of the financial time series, it is difficult to use any single artificial technique to capture its non-stationary property and accurately describe its moving tendency. So a novel hybrid intelligent forecasting model based on empirical mode decomposition (EMD) and support vector regression (SVR) is proposed. EMD can adaptively decompose the complicated raw data...
This paper investigates a kind of computer algorithm for analyzing the stability and stabilization of nonlinear continuous-time singular dynamic Leontief input-output model. A new mathematic method is applied to directly study the singular dynamic input-output systems instead of transforming the singular systems into general systems. With the computer analysis algorithm derived from this paper, the...
Video grid is a leading development direction of multimedia in the future, which integrates varied technologies of multimedia. Video grid simulator is able to detect the deficiencies in the video grid while simulating the process of the real situation of video grid. It can improve the performance of video grid by optimizing the system design of video grid. The paper introduces varied grid simulators...
Using an aggregate production model where capital, labor and energy are treated as separate inputs, this paper tests for the existence and direction of causality between output growth and oil consumption in China. Using the Johansen cointegration technique, the empirical findings indicate that there exists long-run cointegration among output, labor, capital and oil consumption in China. Then using...
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