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In order to realize the industrialization production of software, people have carried out research on and analysis the software product line architecture of the growing maturity, component technology and development methods for product line. In this paper, a novel software engineering process model is proposed based on the modern industrial production systems and automated production method: that...
In wireless sensor networks, data transmission is an essential step for various applications, and an energy efficient data transmission mechanism is needed since the energy resource of WSN is restricted. This paper investigates the coalition-based cooperative data transmission mechanism (CC-DTM), analyzes its entire energy consumption, and finds out the optimal number of sensor nodes needed in the...
Statistical models in which both fixed and random effects enter nonlinearly are becoming increasingly popular. These models have a wide variety of applications in many areas such as agriculture, forestry, biology, ecology, biomedicine, sociology, economics, pharmacokinetics, and other areas. Mixed effect models are flexible models to analyze grouped data including longitudinal data, repeated measures...
This paper studies the realizing progress of data mining in psychological evaluation. Based on the matrix of evaluation data and the actual evaluation work, we propose a kind of generalized linear regression model with convex constraint, named as evaluation model, in which the dependent variable and regression coefficients all are unknown. We analyze the algorithm of the model with linear regression...
Spatial information service plays an important role in E-Government, but different models differ most in various applications of decision-making support activities. Therefore, how to evaluate the applicability of spatial application model is the key problem for the usage of spatial models in E-Government application. In this paper an evaluating model has been proposed to solve this problem. Based...
The statistical information reconstruction of images will be difficult and inaccurate when no conditional data or only hard data are available. Accuracy of reconstructed images can be improved, using soft data during the process of reconstruction. Integrating soft data with hard data, a method based on multiple-point geostatistics is proposed to reconstruct statistical information of images. During...
For developing a surgical simulation platform that not only accords with software design standards but also conforms with clinical professional requirements; proposed designing and developing surgical simulation platform using COM (Component Object Model) component technology. Surgical simulation platform based on COM designed three core module: model management; surgical planning; surgical evaluating;...
The growth of urban areas into forested and agricultural lands is a local and global planning issue of great concern. The proposed model is hence based on the raster data model. The raster-based GM is implemented using object-oriented Microsoft Visual C++ programming under the Microsoft Windows environment. To satisfy more analysis methods expended for this system, such as CA and neural network models,...
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