Applied Mechanics and Materials Vol. 483

Abstract: The online shopping has become a regular way of shopping, enterprises should conduct in-depth mining of online shopping customers knowledge, and build customer knowledge base, so as to better meet customers needs. This paper constructs online shopping customers knowledge ontology model, and studies the knowledge representation based on the protégé environment.

Abstract: A resource-constrained project scheduling problem with stochastic resource-dependent activity durations is presented in this paper,and the two-point method is employed to simulate the uncertain property.Furthermore a genetic algorithm combined with this method is provided to solve the problem. Compared with the results from the genetic with Monte Carlo simulation, the proposed method is verified to be effective and more efficient.

Abstract: The ant colony algorithm to solve the inspection path planning problem well. The algorithm runs in the different requirements of path and the convergence of the step function q₀. The concentration of pheromone bounds, prevent the algorithm premature. To improve the convergence of the proposed algorithm are analyzed and tested by means of experiment.

Abstract: In this paper, data mining technology is applied to analyze the average wage of staff and workers in urban of Sichuan Province, China. The salary data in the past 22-year is sourced from Sichuan Provincial Government to publish during 1991 to 2012. Combined with Chinese national economic-development strategy, the Logistic Prediction Model is established by our much research. The future average wage from 2013 to 2020 year of staff and workers in urban is predicted and its growth trend in the long term is pointed out. The macro analysis to predicting data from Logistic model proves the prediction method and its conclusion is of certain reference value.

Abstract: This paper addresses the problem of the uncertainty description for multi-source information fusion. Based on the uncertainty description, an overall framework of data-driven multi-source information fusion is discussed. In this framework, the theoretical models existed in traditional algorithms are reasonably reserved or modified, experimental evidence and background theory are collaboratively worked in fusion process. Through the core data-driven engine, a loop between the traditional fusion process and performance evaluation is established, where the feedback information from evaluation can be used to adjust the fusion process.

Abstract: A kind of structural stress reliability control method was presented. In this article, the interval extension of multi-objective control algorithm was applied to control the structural stress reliability. By the control of the structural interval parameters, this method has realized the goal of controlling the multiple static interval reliability indexes. To insure the accuracy of the structural reanalysis, the Epsilon algorithm was used in the process of the structural reanalysis when a wide range of modification happened in the interval parameters. This method can both get a satisfactory accuracy, and improve the speed of the reanalysis. The results of the example further proved that the proposed method can be effectively applied in the multi-objective control of the structural stress interval reliability.

Abstract: An algorithm of artificial colony algorithm to optimize the BP neural network algorithm was presented and used to analyze the harmonics of power system. The artificial bee colony algorithm global searching ability, convergence speed for the BP neural network algorithm for harmonic analysis is easy to fall into local optimal solution of the disadvantages, and the initial weights of the artificial bee colony algorithm also greatly enhance whole algorithm model generalization capability. This algorithm using MATLAB for Artificial bee colony algorithm and BP neural network algorithm simulation training toolbox found using artificial bee colony algorithm to optimize BP neural network algorithm converges faster results with greater accuracy, with better harmonic analysis results.

Abstract: Development of the reservoir in A block of Liaohe Oilfield present compound rhythmreservoirs, high permeability layer among the reservoir, according to the realsituation that high permeability layer exist, for the efficient utilization of producingremaining oil by horizontal well, that need to optimize locations, trajectory, lengthof horizontal well. A fine geological model which reflects the characteristicsof the reservoir in studied area was constructed with Petrel and CMG software. Optimizelocations, trajectory, length of horizontal well and vapor injection parametersupon the history matching. The research result shows that steam override, afterreaching high permeability layer, the steam makes fast breakthrough in highpermeability layer, keeping on upward heating the reservoirs with large contactarea. Finally the reservoirs can be uniformly swept in the vertical direction. Thenumerical simulation accurately predicts the optimized horizontal well can effectiveexpoit the residual oil.

Abstract: The thesis starts with information construction of environmental monitoring management, adopts ASP.NET, C#, SQL Server technical theory system, and provides the solution to environmental monitoring management based on B/S structure. Based on the analyze of supporting system of environmental monitoring management, establish the framework of the whole system, analyze the general process of environment-condition detection, pollutants registration management as well as the test of business process, realize the monitor and management of the whole process of environmental detection, and play an important role in entirely promoting the management of urban management and urban environment management.

Abstract: To avoid the criminal behavior of excavating the group of ancient tombs, this paper designs an alarm system for ancient cemetery based on ZigBee. It capture shock wave made by Luoyang shovel and explosion through the vibration, and after the corresponding signal conditioning and conversion, the ZigBee network transfers it to the control system to analysis and judge, so as to drive alarm device and achieve the effect of guard against theft, making use of ZigBee short-range wireless communications technology for data transmission, so that the system will not only significantly reduces the amount of equipment, but also makes the system placed flexibly and moves easily. The results proved that the system is used simply, fast and efficiently, which makes up the monitoring shortage of underground activity in the modern security technology, also it has a broad application prospects.