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Lai Y.,Xian University of Architecture and Technology | Wang X.-J.,Xian University of Architecture and Technology | Xie X.-H.,China MCC20 Group Corporation Ltd.
Proceedings of 20th International Conference on Industrial Engineering and Engineering Management: Theory and Apply of Industrial Engineering | Year: 2013

Bidding is the main transaction way in construction market, however, since the bidding system was establish, it has been a big problem plaguing managers how enterprise can win in the tender, and obtain long-term development. This paper thought that the process through the bidding operating mode under which construction enterprises get development and evolution is a standard model of CAS. To simulate the bidding in the market in our country, this paper analyzed the interaction between organizations, defined its characteristics, and built a complex adaptive system. Then through the time flow and in the direction of the application of evolutionary game theory, the paper studied the behavior and relationship between agents. Finally, the paper selected a specific sub-behavior as the focus, looking for the reason behind the behavior of promoting application of equilibrium theory. © Springer-Verlag Berlin Heidelberg 2013.

Yang Y.S.,Shandong Jiaotong University | Yi X.,China MCC20 Group Corporation Ltd. | Hu P.,Shandong Jiaotong University | Dong Q.,Shandong Jiaotong University
Advanced Materials Research | Year: 2011

Aiming at the service performance characteristics of cement concrete pavement, this paper puts forward optimized design concept for groove parameters of cement pavement. Single groove parameter optimal choice is systematically analyzed based on integrated service quality of cement pavement. Through a variety of multi-contrast laboratory tests and theoretical analysis, from three aspects of anti-slide, strength, and noise reduction, optimized design scheme of groove parameters are demonstrated and proposed, and groove parameters and form suitable for environment characteristics in seasonal frozen region are given. © (2011) Trans Tech Publications.

Zeyun S.,Xian University of Architecture and Technology | Yong L.,China MCC20 Group Corporation Ltd. | Qinghua G.,Luoyang Luanchuan Molybdenum Industry Group Inc.
Advances in Information Sciences and Service Sciences | Year: 2012

In view of the request of wireless accurate position of workers and equipments, the characteristics of wireless signal transmission and position have been analyzed. Based on the Two Way Arrival and Symmetric Double Sides Two Way Arrival, a multi-Access points Centroid wireless Localization algorithm of area was designed in this paper. And The simulation shows that this algorithm performance is stable, reduces the spread and a range of error by NLOS and can improve the degree of wireless Localization accuracy in underground.

Zhuang D.-D.,Jiangsu University | Wang Z.-C.,Shandong University | Wang L.-G.,Jiangsu University | Huang Y.,Jiangsu University | And 3 more authors.
Cailiao Rechuli Xuebao/Transactions of Materials and Heat Treatment | Year: 2015

Deformation law of a aluminum killed low-carbon steel sheets during reversely cold rolling process was studied by copper wire fixed-point notation. Microstructure and properties of cold rolled and annealed steel sheets with different reduction ratios were investigated by means of OM, EBSD and tensile test. The results show that shear stress and shear deformation don't occur obviously with increasing reduction ratios. Deformation behavior in surface and center layer of the steel sheets is compressed deformation. As cold rolling reduction ratios increase from 34% to 80%, r value is between 1.13-1.36 and n value is between 0.23-0.24. As reduction ratios increase from 64% to 80%, <111>//ND grains are always dominant, <001>//ND and <112>//ND grains are consumed and transformed into <110>//ND grains in cold rolling organization. After annealing, <111>//ND grains are more dominant obviously in the steel sheets with 80% reduction ratios, and it is good for deep draw ability of the steel sheets. © 2015, Editorial Office of Transactions of Materials and Heat Treatment. All right reserved.

Shi Z.,Xian University of Technology | Li Y.,China MCC20 Group Corporation Ltd. | Yang Z.,Xian University of Technology | Gu Q.,Xian University of Technology
Xi'an Jianzhu Keji Daxue Xuebao/Journal of Xi'an University of Architecture and Technology | Year: 2014

Construction projects are often quite complex with a lot of uncertainty about the required duration. For a project planner, it is important to ensure project completion within the deadline. In the construction environment, the activity time can be seen as a random variable, so the project duration can also be seen as a random variable. It is rather complicated to obtain the probability distribution for project duration using analytical or numerical methods, while simulation through a large number of samplings can only produce an approximate solution. Therefore, this research proposes the double paths BP neural networks evaluation technique. The neural network model can reduce the amount of calculation in estimating project duration and obtain a speedier solution than PERT. The results of applying the neural networks developed from this research to estimating the mean duration and the duration for a given confidence level for two project cases show that they can achieve a mean absolute percentage errors within 1.5%.

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