Applied Mechanics and Materials Vol. 681

Paper Title Page

Abstract: Against path optimization problem for wireless sensor network, this paper proposes a path optimization strategy for wireless sensor network based on improved shuffled frog leaping algorithm. The shuffled frog leaping algorithm was used as wireless sensor network path optimization main frame, gauss mutation and opposition-based learning were used to overcome the defects of easily trapping into local optimum and low accuracy computation. Simulation results show that the route optimization mechanism can effectively prolongs the network lifetime,reduces energy consumption, and improves the overall network performance.
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Abstract: Traditional decision tree is based on the information gain of the decision attribute,but sometimes the information gain is changing dynamically according to different values of the decision attribute.This paper propose the decision forest algorithm which is based on feature counting,deduced the calculation method of dynamic values of decision attribute information gain.,andestablish the model of decision forest with specific data sets.The experiment indicate that the decision-making model of forest classification based on count feature has higher classification accuracy.
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Abstract: The problem of multi-skilled project scheduling (MSPSP) is a complex problem of task scheduling and resource assignment that comes up in the daily management of many software company. In this paper we present a constraint programming (CP) approach for the MSPSP. We extend the project scheduling literature by developing a project scheduling model that accounts for differing skills among workers. The computational results for the MSPSP show that the constraint programming approach increases the performance of the model solving processes. The results for the MSPSP is effective in solving the proposed problem.
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Abstract: This paper integrated the Particle Swarm Optimization and time-varying inertia weight model to propose a Time-Varying Acceleration Coefficients in Particle Swarm Optimization (TVAC-PSO) for dealing with the emission-constrained dynamic economic dispatch (ED) problems. The objective function of Taiwan power dispatch with emission considerations includes the sub-objective functions of operating cost and emissions. The objective function of emissions is estimated by IPCC. TVAC-PSO is used to find the objective function under the operational and system’s constraints. The effectiveness and efficiency of the TVAC-PSO are demonstrated by using a simplified Taiwan power system. It can also provide an interactive mechanism to adjust the emission permit.
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Abstract: Along with the social development and the improvement of people’s living standard people not only focus on products’ use value, and but also pay more and more attention to products’ added value, emotional value, aesthetic value and individual value, namely people have higher demand on humanization. In the contemporary industrial design, humanized design is getting more and more attention. So we study the application of humanized design in industrial design not only has theoretical significance, also has the very important guiding significance.
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Abstract: Product configuration design model is established on the basis of the base type product of standardization, seriation. According to the needs of customers, This paper arranges the physical and functional structure of the product, and sets up configuration model of the whole model. Through the analysis and configuration design, provides the final product to meet customer requirements. In this article, introduces the mix of configuration design knowledge representation methods, so as to adapt to the requirements of different types of product design.
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