Journal of Computational Science & Engineering

 

 

 

 

 

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    J. Comput. Sci. Eng.  Vol. 23 (2016) 698-713
 

Parallel SPP Model Design of Data Acquisition Experiment Device

 
 

Shuxin Chen, Weimin Sun and Lingyu Zhang

   
J. Comput. Sci. Eng. 23 (2016) 698-702Published March 25, 2016    
 

Abstract: Using parallel SPP mode switch to input and output experiment device can simulate the collected data, and according to the principle of data acquisition program, the acquisition of data for storage, query processing, output, etc. The simulation data can be used as environmental temperature, humidity, pressure and individual traits such as a variety of experimental data of a certain parameter values or attribute value. Independent research and development of experimental apparatus are curriculum design. For example expansion form C language demonstration to Visual C++ language, after around simulation data collected by deepening the reform of computer learning.

   
Keywords: Computer Practice; Visual C++; Data Acquisition; Standard Parallel Port (SPP).

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Mathematical Prediction of Flood Loss in Shenzhen City

 
 

Zhengyu Li, Hejun Xu and Shuhui Fang

   
J. Comput. Sci. Eng. 23 (2016) 703-706Published March 25, 2016    
 

Abstract: Firstly, the flood disaster data of Shenzhen City from 1980 to 2007 were analyzed, and the gray area prediction model was used to forecast the disaster area in 2020, 2030 and 2040, showing a trend of increasing year by year. After that, the ARMA time series model was used to analyze the data. After analyzing and testing, the trend of the runoff of Shenzhen in the future is obtained. Combined with the above two points, draw the future development trend of Shenzhen flood damage.

   
Keywords: Shenzhen flood loss; Grey forecasting; ARMA model.

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Based on the Propagation Effects of Social Media Data Mining

 
 

Xiao Hu

   
J. Comput. Sci. Eng. 23 (2016) 707-709Published March 25, 2016    
 

Abstract: In recent years with the rapid development of Internet technology, big data, big data mining technology has begun to apply in many areas. In this study, the focus on propagation effects social media based on data mining to explore combined with related cases discussed data mining the value and role of technology in social media spread the role played by the hope of data mining technology in social media dissemination depth application play a helpful role.

   
Keywords: Data mining; Social media; Propagation effects; Data information; Data acquisition capabilities; Media convergence.

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Matrix Representation of Solution Concepts and application in Multiple-Decision-Maker Graph Models

 
 

Yu Cao, Fan Yang and Chengxuan Geng

   
J. Comput. Sci. Eng. 23 (2016) 710-713Published  March 25, 2016    
 

Abstract: Explicit matrix representations of solution concepts in a graph model of a multiple-decision-maker conflict with preference uncertainty are developed. In this paper, Nash stable is denoted by dot product. And the stable states for all DMs are formulated by matrix representation. At last, this paper analyses the conflict between production study and research alliance, showing the effectiveness and operability of the matrix representation.

   
Keywords: Graph model; Matrix representation; Solution concepts; Stability analysis.

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