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Online since: February 2014
Authors: Feng Li, Hai Ying Wang
Another issue of concern is that, because the network is usually more widely distributed today, so an attacker can control multiple puppets machine to effectively hide their true position, which is bound to involve tracing the attacker more time to large network range, more agencies and departments, will also spend a lot of manpower, material and financial resources.
Acknowledgements The authors thank 2012 key project of Heilongjiang Province Education Science "Twelfth Five-Year Plan" (No.GZB1212001, GZB1212002).
Abdulrazak: Collaborative Peer to Peer Defense Mechanism for DDoS Attacks, Procedia Computer Science, Vol.5 (2011), p.157-164 [3] H.
Borisaniya : A survey of intrusion detection techniques in Cloud, Journal of Network and Computer Applications, Vol.36 (2013), p.42-57
Online since: July 2013
Authors: Xue Feng Yu, Li Li Chu, Ning Jiang
Table1 WPI and each element value in Reclamation area from 2000 to 2009 Year 2000 2005 2009 Resources (R) 47.21 49.21 52.81 Approach (A) 39.81 43.11 60.19 Utilization (U) 34.53 38.00 64.86 Capability(C) 21.10 44.38 78.90 Environment (E) 51.33 53.44 48.80 WPI 38.80 45.63 61.11 Note: in the table data is obtained according to provided material the 2001, 2006 and 2010 year in the Reclamation economic statistical year book through sorting and calculation.
The Symposium of Second Youth Science Forum.
Application of Water Poverty Index in Regional Water Security Evaluation ;Journal of Irrigation and Drainage.2009,28(8):55-58 [6] Fu Qiang.
Data Processing Methods and Application in Agriculture .Beijing: Science Press.2006,156 [7] Reclamation economic statistical year book.China Statistical Press. 2001,2006,2010Year .
Online since: August 2013
Authors: Xian Zhang Ling, Feng Zhang, Yong Cheng Yan, Jia Hui Wang
Figure 2 The elements and nodes of section W400 The M-C model is selected as the constructive model of computational material.
Acknowledgements This work was financially supported by National Key Basic Research Development Plan (2012CB026104), and the National Natural Science Foundation of China (51174261, 51078111).
Dynamic Analysis of Large-scale Toppling Deformation Slope and the Problem of Trends Prediction, Coal Science and Technology, Vol. 25, (1997), p38-40
Ling, The Study on the Underground Deformation under the Effect of Excavation Opencast Coal Mine, Journal of Northeastern University, Vol.33(s2), 2012, p226-230
Online since: August 2013
Authors: Pei Yong Lian, Jin Ye Liu, Lian Kuan Wang
The Growth Charactersitics Study of Introduction Fast-growing Poplar at the Initial Stage of Afforestation Peiyong Lian1, a, Jinye Liu1, b, Liankuan Wang2, c 1Daxing’anling Academy of Forestry Science of Inner Mongolia, Yakeshi, PR China, 022150 2 Dayangshu Forestry Bureau of Inner Mongolia Dayangshu, PR China, 165456 akeyansuolpy@163.com, bye0607@163.com, cdyslyjwlk@163.com Keywords: Fast-growing poplar, Introduction, The initial stage of afforestation, Growth characteristics Abstract.
In poplar cultivation process, stand density is one of the important factors that affect the growth of trees; its size is directly related to the forest stand growth, yield and quality, there are varying difference degrees of wood quality and fiber yield in different density level, directly affects the forest industrial raw material utilization value.
Zhang: Journal of Northeast Forestry University.
Vol.25 (5) (1997), p.53-56(in Chinese) [6] W.S.Cao, S.M.Zhao, S.R.Jiao: Protection Forest Science and Technology.
Online since: July 2012
Authors: Rui Dan Xu, Yun Peng Jia, Jiang Hong Liu, Peng Ju Zhao
A Pilot Test using Microbial Paraffin-Removal Technology in Daqing Oilfield Jianghong Liu1,a, Yunpeng Jia1,b, Ruidan Xu2,c and Pengju Zhao3,d 1College of Chemistry and Chemical Engineering, Northeast Petroleum University, Heilongjiang Daqing 163318, China 2School of life sciences, Xiamen University, Fujian Xiamen 361005, China 3Daqing Oilfield construction engineering company, Heilongjiang Daqing 163318, China aljhread@126.com,bpengyun415@163.com,cxuruidan419@163.com,dzhaopengju007@126.com Keywords: Microorganisms.
Material and methods Isolation and selection of microorganism.
Kaster and Aksel Hiorth: Transport in porous media, Vol. 91 (2012), p. 59 [3] Nazina T.N., Grigoryan A.A. and Babich T.L.: World Oil, Vol. 229 (2008), p. 11 [4] Sidsel M.Nielsen, Alexander A.Shapiro and Michael L.Michelsen: Transport in porous media, Vol. 85 (2010), p. 785 [5] Qiyu Huang, Jifeng Wang and Jinjun Zhang: Petroleum Science, Vol. 6 (2009), p. 64 [6] Agaev S.G., Zemlyanskii E.O. and Grebnev A.N.: Russian Journal of Applied Chemistry, Vol. 79 (2006), p. 1360 [7] Andrea T.
Online since: September 2013
Authors: B. Klongratog, N. Nunak, T. Suesut
Material and methods Instrumentation for measurement the sugar solution concentration.
Mongkoltalang, “In line osmotic process measurement of concentration of sugar solution”, International Conference of Engineering, Applied Science and Technology (ICEAST 2012), Bangkok, November 2012
Meyer, Measurement uncertainty Review Article, Journal of Chromatography A,Volume 1158, Issues 1–2, 27 July 2007, Pages 15-24
[10] http://www.icumsa.org, ICUMSA (International Commission for Uniform Methods of Sugar Analysis) [11] Preparation of calibration curve a Guide to Best Practice, J Setting standards in analytical science, LGC/VAM/2003/032, 27, September 2003.
Online since: January 2014
Authors: Nickolay A. Lutsenko, S.N. Sorokova
Suppose that a solid porous substance consist of combustible and inert components, and at the same time the solid combustible material transforms into a gas in the reaction with gaseous oxidizer, so we have the following expression: Solid Fuel + (μ)Oxidizer→ (1+ μ)Gaseous Product (1) where μ is the mass stoichiometric coefficient for oxidizer.
Acknowledgments The work was supported financially by the Ministry of education and science of Russian Federation (project 14.A18.21.0383), the Russian Foundation for Basic Research (grants No. 12-01-31064-mol_a No. 12-01-33049-mol_a_ved), the Far Eastern Federal University, the Far-Eastern Branch of the Russian Academy of Sciences.
Lutsenko, Gas flow through a porous heat-releasing medium with allowance for the temperature dependence of gas viscosity, Journal of Engineering Physics and Thermophysics 79 (1) (2006) 33-39
Online since: September 2013
Authors: Yong Jun He, Li Ping Fu
CI belongs to knowledge-intensive industry, and one of the key differences between the knowledge-intensive industry and traditional industry is the use of resources mainly focusing on human resources, rather than the traditional material resources, financial resources, which will lead to knowledge-intensive industry needing in the region of the abundant human resources in order to have a more lasting development.
[7] Alan·Scott, 2004, Culture Industry: The geographical distribution and creative fields[M], Beijing: Social Science Document Publishing House, 121~133 [8] Molotch H.
[12] Saskin Sassen, Zhou Zhenhua(Translator), 2005, Global Cities——New York London, Tokyo, Shanghai[M], Shanghai; Shanghai Social Science Publishing House
Economic Survey, 2010, (3):65~67 [16] Hou Hanbo, Song Yanjun, Xu Yanqing, 2010(5), Analysis & Empirical Research on Culture Creative Industry Cluster Dynamic Mechanism—Taking Beijing as an Example[J], Research & Development, 138~142 [17] Luo Nengsheng, Liu Siyu, Liu Xiaoqing, Culture Industry Agglomeration Level & its Influence Factors—the Empirical Research on Hunan Province Date Journal of Guangdong Institute of Public Administration, 2011, 23(1):55~60 [18] Li Xu, Social System Dynamic:Theory, Approach & Application of Policy Research, Shanghai: Fudan University Press, 2009 [19] National Bureau of Statistics of China Culture and related industry classification http://www.stats.gov.cn/tjbz/hyflbz/xgwj/t20040518_402154090.htm, 2004
Online since: October 2014
Authors: D.S. van Vuuren, P.J. Skosana, M.D. Heydenrych
Wall Heat Transfer Coefficient in a Molten Salt Bubble Column: Testing the Experimental Setup SKOSANA P.J.1a*, VAN VUUREN D.S.1b and HEYDENRYCH M.D.2c 1Materials Science and Manufacturing, CSIR, Pretoria. 2Department of Chemical Engineering, University of Pretoria.
Pan, Experimental Study of Gas–Induced Liquid–Flow Structures in Bubble Columns, AIChE Journal. 47:9 (2001) 1913 – 1931
Ekambara, Coherent flow structures in bubble column reactors (Review papers), Chemical Engineering Science. 57 (2002) 3157 – 3183
Shigaki, Generalized dynamic modelling of local heat transfer in bubble columns, Chemical Engineering Journal, 96 (2003) 37 – 44
Deckwer, On mechanism of heat transfer in bubble column reactors” Chemical Engineering Science, 35:6 (1980) 1341 – 1346
Online since: August 2018
Authors: Sanae El Mimouni, Mohamed Bouhdadi
Event Based Formalization of Communication Properties for an E-Commerce Protocol: An Event-B Approach Sanae El Mimounia, and Mohamed Bouhdadib LMPHE laboratory, Faculty of Sciences, Mohammed V University, Rabat, Morocco asanae.elm@gmail.com, bbouhdadi@fsr.ac.ma Keywords: NetBill protocol, Refinement, Event-B, Formal Modeling, Rodin Abstract.
More teaching materials on Event-B and Rodin can be found at [14].Netbill Protocol The NetBill protocol is an electronic commerce protocol optimized for the selling and delivery of lowpriced information goods, such as software or journal articles, across the Internet.
Journal of Information, Law and Technology, 1998(2), 1998
Maibaum, and Kaisa Sere, editors, FM, volume 5014 of Lecture Notes in Computer Science, pages 430-434.
Data Refinement: Model-oriented Proof Theories and their Comparison, volume 46 of Cambridge Tracts in Theoretical Computer Science.
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