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Additional resources for Computer and Computing Technologies in Agriculture II, Volume 3: The Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA2008), October 18-20, 2008, Beijing, China
Sample text
Digital Image Processing Using VC++. Beijin, TsingHua publishing company. Tao, Z. and Y. Zhibiao, et al. (2006). " Journal of Ordnance Engineering College 18 (5): 61-65. Taoju, L. and T. Jianjun, et al. (2002). " Acta Agricultural University Jiangxiensis 24 (5): 583586. Valdez-Cepeda, R. D. and E. Olivares-Sanz (1998). " Field Crops Research 59 : 53-62. Xianzhong, R. and W. Chun, et al. (2005). " Transactions of the Chinese Society for Agricultural Machinery 36 (10): 85-87. Yan, L. and P. Jiaxiong (2000).
266109 2 College of constructional engineering, Qingdao Agricultural University, Qingdao, 266109,China 3 International Intercommunion School, Qingdao Agricultural University, Qingdao, China, 266109 4 College of Electric and information Engineering of Jiangsu University of Science and Technology Zhen Jiang 212013，China * Corresponding author, Address: Foodstuff Science and Engineering college, Qingdao Agricultural University, 700 Changcheng Road, Qingdao, 266109, P. R. com Abstract: The brushless DC motor used in ISAD of Electric and Hybrid Electric Vehicles is introduced in this paper.
By summarize the characteristic of regional agriculture industry structure optimization model, we found that the modeling tool is composed of some basic element block. The objective function contains a type and a multimonomial, the constraint function contains a multi-monomial and a type and a right hand side coefficient. Each multi-monomial contains several 1546 Xiaodong Huang , Yeping Zhu monomials which composed of one coefficient and one decision variable. Because of actual meaning of objective function and constraint functions, coefficients in model objective function and constraint functions often come from agricultural economic data.
