The radiative heat transfer problem is investigated numerically for 2D complex geometry biomass pyrolysis reactor composed of two pyrolysis chambers and a heat recuperator. The fumes are a mixture of carbon dioxide and water vapor charged with absorbing and scattering particles and soot. In order to increase gases residence time and heat transfer, the heat recuperator is provided with many incl...

This paper is concerned with generating object cues from grey-level images for use in model-based image interpretation. We describe the idea of local grey-level symmetry and illustrate how points in the grey-level image with this property form local axes of symmetry. These axes together with appropriate scale information form the object cues. The degree of local symmetry in the grey-level image...

By analysis of historical data of the ionosphere, it is suggested to apply grey theory to ionospheric short-term forecasting, grey range information entropy is defined to determine the optimum grey length of the sample sequence, the prediction model based on residual error is constructed, and the observation data of multiple ionospheric observation stations in China are adopted for test. The pr...

The sliding mode control algorithm based on grey prediction theory is proposed in this study, aiming at the uncertainties in the servo system of fruit harvesting robot and the external disturbances that may affect the control quality of conventional sliding mode control algorithm. The proposed algorithm uses the grey theory ability to unknown information data to establish the grey model to the ...

In recent years, evaluating the technical innovation activity has gained a renewed interest in both growth economists and trade economists. An evolution model of the technical innovation activity is proposed by applying Kernel principal component analysis (KPCA) and the grey model in this paper. The KPCA is used to features selection and grey model is used to evolution. The proposed method is f...

Prediction of network public opinion is a complicated prediction featuring poor information, small samples and uncertainty. A prediction model of network public opinion based on grey support vector machine (SVM) is specified to increase prediction accuracy. First, network data are preprocessed by text clustering, hotpot extraction and data aggregation. Then a time series model GM(1,1) is establ...

The performance assessment of professional baseball starting pitchers is considered a multi-attribute decisionmaking (MADM) problem. This study develops an evaluation model based on the analytic hierarchy process (AHP) and grey relational analysis (GRA) to evaluate starting pitcher performance for teams of the Chinese Professional Baseball League. The AHP is used to determine attribute weights,...

In order to improve the prediction precision of grain yield, the grey system theory and the fuzzy neutral network are combined to construct the combined prediction model, which is applied in predicting the grain yield. Firstly, the basic theory of the grey system theory is analyzed. Secondly, the mathematical model of fuzzy neutral network is studied, and the corresponding algorithm procedure i...

Wind power generation has been developed rapidly due to rising global interest in renewable clean energy sources. Accurate prediction of the potential amount such is great significance development. As wind changes greatly by season, time series analysis considered as a natural approach characterize seasonal fluctuation and exponential growth. In this paper, dual integrated hybrid model presente...