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Blackboard platform serves as:Issuing notices,Asynchronous communications(discussion area),synchronous communications(chatting in groups,and using white board and group browser etc at the same time),Online tests and surveys(With automatic scoring and statistics),tasks and curriculum documents district,External links,Digital Drop Box,Timely releasing other courses' materials,e-mails and Online grade books etc.
Ranging from theory to practice,Tourism Management concerns numerous contents,including practical pictures,images,flashes,audios and videos,which are more vividly visual than word expressions,letting students easily understand and master the knowledge.In order to broaden students' knowledge,the collection of materials should base on the teaching contents,higher and wider than the books,to provide a security for launching the internet teaching smoothly[2].
Acknowledgments Financial supports from: National Education Ministry Planning Project unit funded-Study on Tourism Professionals Model under Hainan International Island Strategy(FFB108132),Hainan provincial Key Subject Construction Project Fund （XKXM0863）, Hainan Province Education and Science, “Eleventh Five-Year Plan” of 2009 Project(QJ11512), Hainan University Key Project Fund in 2009(HD09XM41), Hainan University Education Project Fund in 2010(HDJY1008) and Hainan University “211” construction sub-project “economic management institutional mechanisms innovation in Hainan”
* Corresponding author:fansc1230@163.com References: [1]Information on http://www.chinanews.com.cn/cj/news/2010/ 01-04/2052248.shtml [2]Wang Xuan-hai: submitted to Journal of Guangdong University of Foreign Studies （2009）
[3] LU Huaxian，Chen Wei: submitted to Journal of Guilin Normal College（2003）.

For linear transient analysis, material thermal properties do not change with temperature, the finite element balance equation is: CT+KT=Qt （3） [K] is transmission matrix; [C] is specific heat matrix; T is the node temperature vector; T is temperature on the derivative of the time; Qt is nodes of heat flow rate vector.
For nonlinear transient analysis, thermal properties of materials with temperature change finite element balance equation can be represented as: CTT+KTT=QT，t （4） 2 Basic steps of Thermal analysis in ansys ANSYS thermal analysis can be divided into three steps: pretreatment; Loading and solving;and post-processing. 2.1 Pretreatment First you should define the name, title, and the system of units used, in which it's very important to be prepared for a system of units of work, you had better use unified international standard unit, so you can avoid some unnecessary trouble.
Enterd the pretreatment stage, work to be done are: select unit types, determine the unit options, set up a real constant, input material thermal properties, create geometry entity model, set the grid cell size, generate finite element analysis of grid cell.
Journal of China engineering science, 2013:15 (1) : 28-33 [6] ShangFuMin Zhang Yong.
Journal of changchun college of engineering,2004:18-20.

Fig.2 The cross-section of slope The grid of finite element module and material parameter.
Table 2 physical mechanics parameter of landslides material material severe modulus of elasticity poisson's ratio cohesion angle of internal friction remark kN/m3 MPa kPa landslide mass 20.2 5.2 0.3 49.97 15.0 slip zone 20.2 5.0 0.3 － － parameters need to be back analyzed slip bed 25.1 13.5 0.25 270.0 27.2 Fig .3 Meshes of FEM model The determination of back analysis initial vale of the slip zone’s shear strength parameter.
Acknowledgement This research was supported by the port & waterway engineering laboratory Foundation of Chongqing Jiaotong University under Grant SLK2007B01 and the Natural Science Foundation of Chongqing under Grant CSTC2008BB6350.
Chinese Journal Geotechnical Engineering, 1999,21(2),209-212.
SIAM Journal of Numerical Analysis 1967; 4:202-210

Revised chord length compared with the original Figure 4 shows, the twist angle in the root portion is significantly less after revised, it can reduce the difficulties in the processing and the use of materials, it can also make the blade structure tend to be more streamlined, blade molding cost reduced, and convenient for processing; Figure 5 shows, the blade chord length distribution in 0.2R~0.9R part not only closes to linear distribution after revised, but also largely keeps the original chord length value not change too much, the revised blade chord length in the upper middle part maches the theoretical calculation result, and the tip part of the chord length increases, the increasing chord length in the tip can improve blade aerodynamic characteristics.
Acknowledgment The work was supported by the Shanghai Natural Science Foundation under Grant No. 11ZR1414200.
Optimalization of wind turbine blades [J].Journal of materials processing technology, 2005,1(67):463~471
Journal of Solar Energy Engineering, 2002, 124(4): 357-363

Materials and methods 1.1.
Materials The experimental apparatus employed in this study is shown in Fig. 1.
Environmental Science, 2010, 31(06):1459-1463.
[4] Gunjan Tiwari, Purnendu Bose, Determination of ozone mass transfer coefficient in a tall continuous flow counter-current bubble contactor[J], Chemical Engineering Journal, 2007,132(1): 215-225
[5] Chedly Tizaoui, Yanmin Zhang, The modelling of ozone mass transfer in static mixers using Back Flow Cell Model[J], Chemical Engineering Journal, 2010, 162(2):557-564

The Analysis of ATM Queuing Phenomenon on Campus Song Na1, Shang Zhiqin2 1 Song Na, Tourism Department School of Economics & Management, Yanshan University,Qinhuangdao, China 2Shang Zhiqin, Tourism Department Hebei Vocational & Technical College of Building Materials, Qinhuangdao, China songna780210@126.com Keywords: Queuing system, Automatic Teller Machine (ATM), average queue length, average waiting time Abstract.
It could consider optimizing customers’ psychological feelings of waiting through follow points: ① providing full activities: such as establish publicity board for customers or other business promotional materials, so that customers will have something to do in the waiting time. ② explain the reasons of customer waiting in time, reduce the instability in customers’ heart.
References [1] Norman Schneidewind, Software Development Queuing Model, Naval Postgraduate School, Journal of Aerospace Computing, Information, and Communication.
Shandong Technology University Academic Journal (Natural Science edition). 11(2006)12-21 [8] Zeng Hua and Cao Ju.The Analysis of Queuing System in Self-service Bank.

Brittleness and the structural particularities have reduced for some time the expansion of ferromagnetic shape memory materials into practical applications.
While the dual-phase β+γ structure of the CoNiGa alloys improves the deformation behaviour of the alloys at RT and can be an important factor in stimulating the development of these materials, it can also lead to the suppression of the martensitic transformation and subsequently the loss of the memory effect.
Zheng, Jianguo Li Journal of Alloys and Compounds Volume 420, Issues 1-2, 31 (2006)145-157
Li, Journal of Alloys and Compounds 417 (2006) 96–99 [12] V.G.
Kulkarni – in Burhanettin ed., Severe Plastic Deformation, 2006 Nova Science Publishers.

The determination results of Sn(IV) obtained with the proposed procedure were certified by national rock reference materials, and listed in table 1.
Wang: Trace elements in life science (Chinese Metric Press, Beijing 1992).
He: Journal of Hazardous Materials Vol. 184 (2010), p. 331 [6] X.Z.
Gabelica: International Journal of Analytical Chemistry Vol. 2012 (2012), p.1 [9] Z.R.

Introduction The vocational education of China contains three basic elements, teachers, teaching materials and training equipment.
After the teachers and teaching materials are determined, training equipment becomes the key factors which affect the quality of personal training.
The System Design based on the Virtual Reality Technology The electrical and electronic experiment courses are the basis experiments of the science students in our college.
Journal of computing and information technology CIT 1G. 2008.4: 235-24G
Journal of Management Education, 2010, 34, 499-526

Influence of High Temperatures on Surface Cracking of Concrete Studied by Image Scanning Technique (2010) Jordan Journal of Civil Engineering, 4, pp. 155-163
Thermal Properties of Concrete at Elevated Temperatures (1970) J. of Materials, 5, pp. 47-74
Effects of elevated temperatures on properties of concrete (2007) Fire Safety Journal, 42, pp. 516-522
Multiaxial tensile-compressive strengths and failure criterion of plain high-performance concrete before and after high temperatures (2010) Construction and Building Materials, 24, pp. 498-504
Test on Strength and Deformation of Concrete Under Complex Stress at Elevated Temperature (1994) Building Science Research, pp. 47-50