1526 JOURNAL OF COMPUTERS, VOL. 8, NO. 6, JUNE 2013 perspective, exist<strong>in</strong>g research data shows that long term environment impact changes the gene of tree and this is the most essential factor affected the shape of leaf. On the other hand, the open branch angle, DBH, knot spac<strong>in</strong>g, crown diameter, clear length and tree height of tree will affect the shape of leaf. Dur<strong>in</strong>g the research, we found that the position of leaf also affects leaf shape. E.g., the smaller tip Angle will be the smaller leaf shape of the top branch. In the classification of leaf shape, if we directly classify leaf shapes accord<strong>in</strong>g to the parameters of the leaf structure, it will be complicated. Dur<strong>in</strong>g analysis, we found the method that is us<strong>in</strong>g some <strong>in</strong>dexes to classify leaf shape at first, and then classify<strong>in</strong>g leaf forms aga<strong>in</strong> based on the structure of leaf. The method will reduce work load <strong>in</strong> the leaf shape classification, meanwhile, get a better result. In the weight estimate of tree leaf, we divide <strong>in</strong>to two steps. First step, we estimate the number of leaves. Dur<strong>in</strong>g research, we found and built the snow model theory that is high similarity between snow structure and tree structure (Therefore we get conclusion). The formation of the branch copies the exterior characteristics of the backbone. In the experimental simulation, simulated maple tree is highly similar with the actual sample at the aspects of crown diameter, breast diameter, number of branches, length and thickness of branches and so on. This suggests that the snow theory can be applied <strong>in</strong> the three growth simulation and it can be used <strong>in</strong> tree growth model <strong>in</strong> the future. Second step is estimat<strong>in</strong>g area of s<strong>in</strong>gle leaf previous methods of the leaf area estimation are direct measurement method and mathematical model analysis. However, those methods cannot measure curvature leaves. We had the correspond<strong>in</strong>g improvement. Firstly, we set up area measurement model to flat leaf. Then the area of the curly leaf was measured, which is divid<strong>in</strong>g the whole curly leaf <strong>in</strong>to small pieces. F<strong>in</strong>ally, we calculate total area of all small pieces to get result. The measurement of the curly leaf has especially mean<strong>in</strong>g because many factors <strong>in</strong> nature can <strong>in</strong>fluence of leaf form. ACKNOWLEDGMENT The fund<strong>in</strong>g organizations are Hebei Higher Social Science Research 2011 Annual Fund (No. SZ2011518) and Tangshan Municipal Bureau of Science and Technology research and development guide plan (No. 111302013b, No. 111102033b). REFERENCES [1] Xu Guoxiang, Statistical forecast<strong>in</strong>g and decision- mak<strong>in</strong>g, 1 st ed., Shanghai: Shanghai F<strong>in</strong>ance University Press, 1998, pp.85-89. [2] Du Zifang, Sampl<strong>in</strong>g Techniques and Practices, 1 st ed., Beij<strong>in</strong>g: Q<strong>in</strong>ghua University Press, 2004, pp.123-124. [3] Yang Guiyuan, Huang Yili, Mathematical Model<strong>in</strong>g,Hefei: Ch<strong>in</strong>a science and technology university Press, 2008, pp.75-79. [4] He Shu, “Application of SOM Neural Network on leaves’ shape classification,” <strong>in</strong> Computer development and application, vol. 17, pp. 31–33, 2003. [5] Xia Shanzhi, Zhu Xujia, “Review of the measur<strong>in</strong>g method <strong>in</strong> leaf area”, <strong>in</strong> Forestry survey and design, 2009, pp.15- 17. [6] Jiang Youxu, Zang Runguo, “A prelim<strong>in</strong>ary analysis on elementary architecture of tropical trees <strong>in</strong> the topical arboretum of Jian Feng l<strong>in</strong>g”, <strong>in</strong> Resource Scienc, vol. 21, 1997 [7] Zhang Chuny<strong>in</strong>g, Guo J<strong>in</strong>gfeng, Liu Lu, “P-Graph and Its Application,” unpublished. [8] Zhou Lihui, Wang Hong, Du Lip<strong>in</strong>g, “A Balanced Relationship Analysis Between Ch<strong>in</strong>ese Economic Growth and the Iron and Steel Production Based on Time Series,” International Conference on E-Bus<strong>in</strong>ess and E- Government, vol.2, pp. 192-196 , August 2010 [9] Zhang Chuny<strong>in</strong>g, Guo J<strong>in</strong>gfeng, Chen Xiao, “Research on random walk rough match<strong>in</strong>g algorithm of attribute subgraph”, International Conference on Advanced Materials and Computer Science, pp. 297-302, October 2011. [10] Liu Fengchun, Zhang Chuny<strong>in</strong>g, “λ-Operations on Packet Sets and the Significance of Application”, unpublished. [11] Thomas G C, John J E, “Algometric equations for four valuable trop i.cal tree species”, <strong>in</strong> Forest Ecology and Management, 2006, pp.351 - 360. [12] Zhou Lihui, “Analysis about the Effectiveness Evaluation of Ch<strong>in</strong>a’s Real Estate Enterprises based on DEA model”, International Conference on Eng<strong>in</strong>eer<strong>in</strong>g and Bus<strong>in</strong>ess Management, vol.1, pp. 1384-1387, October, 2011. [13] Yibo Tan, Zhonghui Zhao, “The Ma<strong>in</strong> Methods for Determ<strong>in</strong><strong>in</strong>g Leaf Area Index”, <strong>in</strong> Forest Inventory And Plann<strong>in</strong>g, 2008, pp. 33. [14] Yan Gao, Chengjun Zhang and Liyan Zhang, “Comparative Analysis of Three GARCH Models Based on MCMC”, The 2nd International Conference on Information Comput<strong>in</strong>g and Applications, vol., pp. 284- 286, September, 2011. [15] Gao Yan, Wan X<strong>in</strong>ghuo, Liu Qiume, “Study of the Spillover Effect Based on the B<strong>in</strong>ary GED-GARCH Recent Advance <strong>in</strong> Statistics Application and Related Areas”, Conference Proceed<strong>in</strong>gs of The 4th International Institute of Stastistics & Management Eng<strong>in</strong>eer<strong>in</strong>g Symposium, vol.2, pp. 134-134, July, 2011. [16] Yan Gao, Chengjun Zhang and Liyan Zhang, “Comparison of GARCH Models based on Different Distributions,” unpublished. [17] Zhou Lihui, “The Pr<strong>in</strong>cipal Component Analysis about Three-dimensional time series data Of Ch<strong>in</strong>ese <strong>in</strong>formation process”, International Conference on E-Bus<strong>in</strong>ess and E- Government, vol.2, pp. 4901-4904, July, 2010. [18] Zhang Chuny<strong>in</strong>g, Guo J<strong>in</strong>gfeng, Chen Xiao, “Research on random walk rough match<strong>in</strong>g algorithm of attribute subgraph”, International Conference on Advanced Materials and Computer Science, pp. 297-302, May, 2011. [19] Aim<strong>in</strong> Yang, Chunfeng Liu, J<strong>in</strong>cai Chang and Li Feng, “TOPSIS-Based Numerical Computation Methodology for Intuitionistic Fuzzy Multiple Attribute Decision Mak<strong>in</strong>g”, <strong>in</strong> Nformation-an International Interdiscipl<strong>in</strong>ary Journal, 2010, pp. 3169-3174 [20] Zhang Chuny<strong>in</strong>g, Wang J<strong>in</strong>g, “Multi-relational Bayesian classification algorithm with rough set”, 7th International Conference on Fuzzy Systems and Knowledge Discovery, pp. 1565-1568, August, 2010. © 2013 ACADEMY PUBLISHER
JOURNAL OF COMPUTERS, VOL. 8, NO. 6, JUNE 2013 1527 Lihui Zhou was born <strong>in</strong> Tangshan of Hebei prov<strong>in</strong>ce, on November 12, 1980. She got Master Degree of Econometrics <strong>in</strong> Southwestern University of F<strong>in</strong>ance and Economics <strong>in</strong> July, 2006, which is <strong>in</strong> Sichun prov<strong>in</strong>ce, <strong>in</strong> ch<strong>in</strong>a. Her major field of study is multivariate statistical analysis. She has been work<strong>in</strong>g <strong>in</strong> School of Science, Hebei United University s<strong>in</strong>ce September, 2006, which located <strong>in</strong> X<strong>in</strong> Hua Street 46, Tangshan, Hebei, P. R. Ch<strong>in</strong>a. Now her Current <strong>in</strong>terests are the application of the qu<strong>in</strong>tile regression model. Jiajia Sun was born <strong>in</strong> Shijiazhuang of Hebei prov<strong>in</strong>ce, on July 8, 1986. She is a junior student of Hebei United University. Her major is mathematical statistics. Juanjuan An was born <strong>in</strong> X<strong>in</strong>gtai of Hebei prov<strong>in</strong>ce, on May 20, 1986. She is a junior student of Hebei United University. Her major is mathematical statistics. Jun Long was born <strong>in</strong> Zhengzhou of Henan prov<strong>in</strong>ce, on August 14, 1985. He is a junior student of Hebei United University. His major is <strong>in</strong>formation science. © 2013 ACADEMY PUBLISHER
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Call for Papers and Special Issues
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(Contents Continued from Back Cover