Mechatronics and Intelligent Materials

Volumes 211-212

doi: 10.4028/www.scientific.net/AMR.211-212

Paper Title Page

Authors: Chin Chun Chen, Yuan Horng Lin, Jeng Ming Yih, Sue Fen Huang
Abstract: Apply interpretive structural modeling to construct knowledge structure of linear algebra. New fuzzy clustering algorithms improved fuzzy c-means algorithm based on Mahalanobis distance has better performance than fuzzy c-means algorithm. Each cluster of data can easily describe features of knowledge structures individually. The results show that there are six clusters and each cluster has its own cognitive characteristics. The methodology can improve knowledge management in classroom more feasible.
793
Authors: Nan Li, Cun Fu He
Abstract: A structure of capacitance sensor used for an automatic car-wiper system is presented. It aims to develop a low-cost sensor with high sensitivity and robustness. Firstly, two kinds of sensing technique based on optical and piezoelectric sensors for an automatic car-wiper system are introduced respectively. Then, three types of capacitance sensors of different shapes are designed. The parameters which affecting the sensor signal strength and measurement sensitivity are discussed. Thirdly, the electric field distributions of the sensors are simulated, and the fringe capacitance of the sensors are measured and analyzed. Finally, the optimum excitation frequency of designed sensor is determined, and the sensor noise is discussed in this paper. The experimental results indicate the validity and importance of the capacitance-based sensing technique which can be used for liquid detection on windshield of vehicles.
798
Authors: Li Chuan Wang, Chwei Jen Fan, Huan Ming Chuang
Abstract: This study adopted business intelligence tools to implement a platform for supplier evaluation, bases on data from the material management module of its ERP system firstly, and tried to further improve the acceptance of the system. Qualitative research method was applied on this regard. Intensive interviews with members from procurement, quality assurance, and material management departments were conducted with interview framework established from Information System Model. The information garnered from the interviews was analyzed with Formal Concept Analysis (FCA). Major conclusions were used to improve the supplier evaluation system. Based on statistics data about system usage, the improvement gained significant success.
803
Authors: Gang Fang, Hong Ying, Jiang Xiong, Yuan Bin Wu
Abstract: In this paper, the purpose is to find a method that can be more suited to facial expression change and also improve the recognition rate. The proposed system contains three parts, wavelet transform, Fisher linear discriminant method feature extraction and face classification. The basic idea of the proposed method is that first extract the low-frequency components through wavelet transform, then the low-frequency images mapped into a low-dimensional space by PCA transform, and finally the utilization of LDA feature extraction method in low-dimensional space. The algorithms were tested on ORL and Yale face database, respectively. Experimental results shows that the proposed method not only improve the recognition rate, but also improve the recognition speed. This method can effectively overcome the impact of expression changes on face recognition, and play a certain role in inhibition of expression.
808
Authors: Jin Qing Liu, Qun Zhen Fan
Abstract: In this paper, the purpose is to find a method that can be more suited to facial expression change and also improve the recognition rate. The proposed system contains three parts, wavelet transform, Fisher linear discriminant method feature extraction and face classification. The basic idea of the proposed method is that first extract the low-frequency components through wavelet transform, then the low-frequency images mapped into a low-dimensional space by PCA transform, and finally the utilization of LDA feature extraction method in low-dimensional space. The algorithms were tested on ORL and Yale face database, respectively. Experimental results shows that the proposed method not only improve the recognition rate, but also improve the recognition speed. This method can effectively overcome the impact of expression changes on face recognition, and play a certain role in inhibition of expression.
813
Authors: Bing Kun Zhu, Li Hong Xu, Hai Gen Hu
Abstract: Multi-objective optimization is a challenging research topic because it involves the simultaneous optimization of several complex and conflicting objectives. However multi-objectivity is only one aspect of real-world applications and there is a growing interest in the optimization of solutions that are insensitive to parametric variations as well. A new robust preference multi-objective optimization algorithm is proposed in this paper, and the robust measurement of solution is designed based on Latin Hypercube Sampling, which is embedded in the optimization process to guide the optimization direction and help the better robust solution have more chance to survive. In order to obtain different preference of the robust solutions, a new fitness scheme is also presented. Through the adjustment of fitness function parameter preference, robust solutions can be obtained. Results suggest that the proposed algorithm has a bias towards the region where the preference robust solutions lie.
818
Authors: Jia Yao, Wan Jiang Wu, Ya Qin Li, Ming Hui Han, Li Wei Jiang
Abstract: Application of stress wave testing methods can realize non-destructive testing of composites, but non-homogeneous characteristics of composites determine the complexity of stress wave propagation. Using the stress wave theory to explain the propagation principle, to describe the stress situation in the composites, which is meaningful to perfect the stress wave testing method. In this paper, stress wave propagation principle of non-homogeneous laminated composites has been revealed, mathematical descriptions of stress wave propagation are also given, and finite element simulation method has been used to verify the theory.
823
Authors: Tao Zhang
Abstract: To facilitate calculation of a reinforced concrete oblique intersection beams in roof structures, the analysis ignores the interaction between moment and torque of node position, assuming the beam ends as hinge supports. Vertical displacement coefficients were found out by unit-load method, the compatibility equation of displacement was set up by the conditions of equal displacement at nodes, which can finally calculate force diagram of beams, and further design beam section. When designing, it is necessary to note reinforcement calculation should be taken into account the change of beam effective cross-section high caused by longitudinal tension reinforcement layer placed. Compared with the engineering example show that the design method is more simple and accurate, the results can provide a reference for the engineering design and related research.
827
Authors: Ji Xiang Zhong
Abstract: Comprehensive utilization of Exhaust Heat of Engine and Solar Energy is a revolutionary technique. There is seldom literatures focusing on this scope. The mechanical compressor using chemical refrigerant principle is the core driving component of traditional car air conditoner. However, the issues such as engergy-comsuming, transmission efficiency, pollution etc. remains a great challenge. A new driving scheme is put forward in this paper, in which primary exhaust heat sources is used to drive the air conditioner. There requires quite a few moving parts in this new scheme. If the low power engine is mounted in the car, addional solar energy can be combined to drive the air conditioner. The principle of the new air-condition system and its structure are illustrated in this paper.The automatic control system for this new Air-condition System driven by combination of Exhaust Heat of Engine and Solar Energy is described in detail as well. This new system is energy-conserving, environment-protective, low-carbon, and high efficient. It has a promising application prospect.
832
Authors: Wei Feng Yang, Xin Yi Zheng, Yue Lei Zhang
Abstract: The impact of green purchasing on the enterprise performance was analyzed in this paper. An empirical study in the China textile and garment industry was carried out, and research results show that the five dimensions of green purchasing (Supply chain management, Ecological design, Operation management, External environment management and Environmental authentication) have significant impact on enterprise performance.
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