Advanced Research on Automation, Communication, Architectonics and Materials

Volumes 225-226

doi: 10.4028/www.scientific.net/AMR.225-226

Paper Title Page

Authors: Ming Cong, Tao Han, Qiang Zhao, Tie Jun Lan, Xiu Yong Ju
Abstract: Slider is one of the most important parts in High-Speed Horizontal Machining NC center, it plays a great role in the performance of static and dynamic. In order to assure the working accuracy and dynamic characters, slider must be analyzed to verify the reasonable of original design. According to the structure of slider and based on the theoretical and finite element simulation analysis method, a more reasonable boundary condition is carried out. To be noted that in this paper a method using the conception of combination is introduced. On the other hand the counterforce can be more accurate than before and it makes the following analysis easier.
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Authors: Ye Xu, Hong Yan
Abstract: Based on optimal families of FH sequences derived from m-sequence over GF(p), a construction of families of FH sequences with given minimum gap is presented to overcome the shortcoming of dual sub-bands method. The Hamming auto-correlation and cross-correlation properties of the FH sequences are theoretically studied and simulation experiments are performed. Results show that the correlation properties of these FH sequences are acceptable.
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Authors: Rui Hu Wang, Bin Fang
Abstract: The next generation of intelligent surveillance system should be able to recognize human’s spontaneous emotion state automatically. Compared to speaker recognition, sensor signals analyzing, fingerprint or iris recognition, etc, facial expression and body gesture processing are two mainly non-intrusive vision modalities, which provides potential action information for video surveillance. In our work, we care one kind of facial expression, i.e. anxiety and gesture motion only. Firstly facial expression and body gesture feature are extracted. Particle Swarm Optimization algorithm is used to select feature subset and parameters optimization. The selected features are trained or tested for cascaded Support Vector Machine to obtain a high-accuracy classifier.
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Authors: Yi Wu, Xiao Han Hu, Jing Nie
Abstract: Extended producer responsibility has become an important managerial system to dematerialize our economy. This paper aims to verify the five promotional factors of extended producer responsibility, and to investigate its applicability in the auto-manufacturing industry. A questionnaire survey has been conducted in the auto-maufacturing industry, followed by principle component analysis and description analysis of the data collected. As a result, five promotional factors have been verified and auto-manufacturing industry is proved a promising industry in terms of EPR implementation. Future strategies are put forward based on the promotional factors.
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Authors: Xiao Guang Wang, Hu Bin Guo, Xiang Xiang Zhao
Abstract: In this paper, using the ability as the basic elements of the analysis unit, discuss the enterprise which has continued to grow on the internal rules of building a sustained business growth, generate the theoretical framework of the mechanism and expand the capacity of traditional business theory. Based on the synergy innovation, enterprise dynamic core competencies to achieve. the enterprise system is a the network of dynamic core capacity in all core business of the assembly, which is the core of the system of co-innovation capability, the ability to synergy innovate is a enterprise dynamic core competencies. The existence and evolution of the most basic function of dynamic capacity network to form the core of the most important enterprise growth mechanism.
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Authors: Qing Song Liu, Jia Tong
Abstract: This paper describes the basic idea of Mind Evolutionary Computation and its advantages, the basic steps of the algorithm .The optimal adaptive filters are design based on MEC, which don’t need any priori statistical knowledge of signal and noise, and the parameters of adaptive filters can be automatically adjusted to the best in accordance with certain criteria. Simulation results show that the proposed method can quickly design effective optimal adaptive filters.
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Authors: Tie Zhou Wu, Hui Jun Zhou, Biao Li, Qing Xiao
Abstract: Location technology as Wireless Sensor Network’s support technology for most applications has been widely researched, ZigBee is one of representative technology of WSN. On the basis of the common two-step localization algorithm, this paper proposes a locating method that optimize the measurement data using genetic algorithm before locating calculation, then using multilateral measurement least-square method for calculating position. Experimental results show that the modified algorithm is significantly reduced the position error, effectively improve the position accuracy.
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Authors: Tie Zhou Wu, Jian Feng Xiang, Ming Yue Wang
Abstract: Because the traditional Web service lacks of the description of the semantic level. Construction semantic Web service has become the development trend of traditional Web service and based on the semantic web, the service composition technology is also evolved with demand. On the basis of analyzing the traditional Web service composition technology, the paper researches the related critical technology of constructing semantic Web service,and then uses the method by combining the ontology modeling with the OWL-S to improve the traditional service composition model. Finally, the practicality and convenience of the improved model have been proved by the experiment.
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Authors: Lan Yi Sun, Ru Jun Wang, Cheng Zhai, Qing Song Li
Abstract: In this paper, the design and optimization procedures of a heterogeneous heat integrated azeotropic distillation sequence with side stripper (HIADS-SS) for the purification of isopropanol are investigated. The proposed procedures can detect the optimal values of the design variables and thereby guarantee the minimum energy consumption. The procedures are applied to the study of the separation of azeotropic mixtures using the two distillation sequences. In the HIADS-SS, the top end of the side stripper has both liquid and vapor exchange with the main column, which eliminates a condenser compared with the conventional heterogeneous azeotropic distillation sequence (CHADS). The results show that reductions in energy consumption can be obtained using the HIADS-SS.
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Authors: Lan Yi Sun, Jun Ting Wu, Jin Chuan Xu, Qing Song Li
Abstract: In this paper, a new coke dry quenching (n-CDQ) technology is proposed. The advantages of this technology are energy conservation, pollution reduction, coke quality improvement and the full use of resources. Based on the idea of the n-CDQ technology, process modeling is conducted using the process simulator of Aspen Plus. The impacts of the flow of the coke-cooling coke oven gas and the consumption of the steam on the new CDQ technology are discussed. The results show that the maximum concentration of CO reaches about 16% and the H2 56% when the steam consumption is approximately 0.5 t/t coke and coke oven gas 150-160 Nm3/t coke. The steam produced is more than the consumed, which means that the excess steam can be used for power generation. In this way, the advantages of the n-CDQ technology are fully revealed.
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