{"title":"The composite function block with structure self thermal insulation","authors":"Xianli Wang, Lin Wang","doi":"10.1109/MEC.2011.6025820","DOIUrl":"https://doi.org/10.1109/MEC.2011.6025820","url":null,"abstract":"The technical structure of a composite function block with self thermal insulation is introduced. Block — thermal insulation layer-protective layer trinity is achieved through setting tie bars within the block. The block not only collects multiple functions to one body, such as load-carrying/maintenance, thermal insulation, drainage and exhaust, anti-shedding and anti-crack for surface layer etc. But also it collects both safety and durability to one body. The kind of block has many characteristics such as maintenance-free, strong compound function and so on. The block can greatly avoid quality defects of the wall block building non-structural cracks though structure measures, and has been confirmed by the pilot building.","PeriodicalId":386083,"journal":{"name":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130901142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A flexible exception handling framework for Semantic Programming Language","authors":"Zhao Kai, Zhang Linlin, Ying Shi","doi":"10.1109/MEC.2011.6025928","DOIUrl":"https://doi.org/10.1109/MEC.2011.6025928","url":null,"abstract":"Semantic Web services (SWS) and business process management (BPM) technologies are gradually applied in many domains like electronic commerce and enterprise application integration, which has unavoidably led to the requirements and concerns for effectively recovering from kinds of failures, especially in complex, untamed and dynamic Web environments. Generally, Exception handling is considered to be one of the most important mechanisms for dealing with exception conditions. However, current business process programming languages for semantic Web services provide almost no support for exception handling, and support platforms are weak in providing reliability and adaptability. In this paper, we present a novel framework for flexible exception handling and fault recovery of semantic business processes based on Semantic Programming Language (SPL). Especially, the framework provides forward recovery support with dynamically discovering and substituting failed services when an exception arises during execution by semantically equivalent or semantically similar Web services.","PeriodicalId":386083,"journal":{"name":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132580193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qi Yu, Wen Luo, N. Ning, Zhenya Sun, C. Wang, Yong Hu, Tianzhu Li
{"title":"A CMOS dB-linear variable amplifier using curvematching","authors":"Qi Yu, Wen Luo, N. Ning, Zhenya Sun, C. Wang, Yong Hu, Tianzhu Li","doi":"10.1109/MEC.2011.6025969","DOIUrl":"https://doi.org/10.1109/MEC.2011.6025969","url":null,"abstract":"A CMOS dB-linear Variable Gain Amplifier (VGA) using Curvematching is presented. The CMOS dB-linear VGA provides a variable gain of 59dB while maintaining −3dB bandwidth greater than 86MHz. Curvematching is proposed to obtain the dB-linear gain control characteristics based on a low-distortion source-degenerated differential amplifier structure. Nonideal effects on dB linearity are analyzed and the methods for improvement are suggested. The VGA is designed in a 0.13μm CMOS technology and the post-simulation results demonstrate the good dB linearity, good property of total harmonic distortion and noise figure.","PeriodicalId":386083,"journal":{"name":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","volume":"349 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132581245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A new neural network approach for fault location of distribution network","authors":"F. Yan, Wenxuan Liu, Lin Tian","doi":"10.1109/MEC.2011.6025718","DOIUrl":"https://doi.org/10.1109/MEC.2011.6025718","url":null,"abstract":"On the basis of analysis on the characteristics of single phase grounding fault occurred in small current neutral grounding system, a fault location method using Learn Vector Quantization Neural Network is put forward. Combined LVQ Neural Network with C-type of traveling wave location method, the purpose of precise location can be achieved. A classical BP (Back-Propagation) Neural Network has been developed to solve the same problem for comparison. The simulation results of ATP-EMTP and MATLAB show that the LVQ Neural Network is quite effective and superior to BP Neural Network in fault location.","PeriodicalId":386083,"journal":{"name":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133168141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A MST-based and new GA supported distribution network planning","authors":"You Li, Xian-rong Chang","doi":"10.1109/MEC.2011.6026009","DOIUrl":"https://doi.org/10.1109/MEC.2011.6026009","url":null,"abstract":"After Optimal distribution substation locating, distribution feeder line planning remains the main problem in distribution system planning. Therefore, a MST-based and new GA algorithm for distribution network optimal planning is presented. To reduce computational time and avoid infeasible solution, two new operators are introduced to ensure that all individuals are feasible solution. Meanwhile, an electricity distribution network structure and feeder cross-sectional area selection simultaneous optimization model is adopted to deal with the weight of the minimal-cost system tree. This Combinatorial coding guaranties the validity of solution towards globe optimum. Finally, The method is examined in one real MV distribution network example.","PeriodicalId":386083,"journal":{"name":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133192289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparison methods for high accuracy nano wood fiber strain measurement with the errors analysis","authors":"Ming-Bao Li, Jun Cao, Jiawei Zhang, N. Zhang","doi":"10.1109/MEC.2011.6025503","DOIUrl":"https://doi.org/10.1109/MEC.2011.6025503","url":null,"abstract":"For measuring nano wood fiber strain, a whole range of perturbing factors on the primary converters and circuit elements degrade the metrological characteristics. An approach to the design of measuring circuit, based to the principle of double-channel parametric measurement, is proposed to improving the accuracy of the measured result. Three measuring circuits based on the principle are designed, and errors of conversion functions of them are analyzed, which shows the approach is effective to solve the problem of the measuring strain, and it is worthwhile for other measuring circuits.","PeriodicalId":386083,"journal":{"name":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128824898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on traction slip control algorithm for parallel hybrid cars","authors":"Liang Chu, Libo Chao, Z. Wu, Tong Wu","doi":"10.1109/MEC.2011.6025782","DOIUrl":"https://doi.org/10.1109/MEC.2011.6025782","url":null,"abstract":"Traction slip control algorithm and strategy for parallel hybrid vehicle are proposed in this paper. Based on the torque distribution strategy of parallel cars, the torque control strategy and algorithm and brake control strategy of TCS are designed. Under the environment of Matlab/Simulink, the vehicle model and TCS controller model of parallel Hybrid Electric vehicle are built. The simulation test is performed on the low μ road. The simulation results show that the control algorithm can prevent the driven wheels from spinning effectively.","PeriodicalId":386083,"journal":{"name":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131680095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A class of nonmonotone spectral conjugate gradient methods with the generalized quasi-Newton equation","authors":"M. Ma, Yongpo Zhang, Zilong Yang, Y. Shang","doi":"10.1109/MEC.2011.6025852","DOIUrl":"https://doi.org/10.1109/MEC.2011.6025852","url":null,"abstract":"In order to solve the large-scale unconstraint optimization in engineering and management. In this paper, we combine spectral conjugate gradient methods with the generalized quasi-Newton condition, and construct a class of nonmonotone spectral conjugate gradient methods. According to different parameters alternative, a comparison to different parameters are given. Numerical experiments show that this class of nonmonotone spectral conjugate gradient methods are competitive.","PeriodicalId":386083,"journal":{"name":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127407242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The design and implementation of a real-time webpage Tamper-Proof technology","authors":"Yue-guo Luo, Hai-jun Tan","doi":"10.1109/MEC.2011.6025818","DOIUrl":"https://doi.org/10.1109/MEC.2011.6025818","url":null,"abstract":"Firstly, the current Webpage Tamper-Proof technology problems are analyzed, then events-trigger and files-filter driver with hash function is designed for a Webpage Tamper-Proof system model, whose architecture is deployed and whose security is designed. This Webpage Tamper-Proof system is used in campus network. The experimental results show that the solution can realize the function of restoring the webpage intelligently in real time, thus the solution can prevent the page from being modified maliciously, which is of high application value.","PeriodicalId":386083,"journal":{"name":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127422744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of chaotic neural network in power system load forecasting","authors":"Yu-hong Zhao, Jinxing Xiao","doi":"10.1109/MEC.2011.6025790","DOIUrl":"https://doi.org/10.1109/MEC.2011.6025790","url":null,"abstract":"Power system load forecasting is one of the important work of electricity production departments, the load demand is affected by many factors (such as weather, economic, and social activities, etc.) effects, and their relationship is complex, unclear, so it is difficulty to predict the load accurately. In order to improve short term load forecasting accuracy, according to this non-linear reconstruction technique based on chaos theory we constructed an improved BP algorithm based on chaotic neural network short term load forecasting model in this paper. The above model and the algorithm was applied to the short-term power load forecasting of an south area, made a good prediction.","PeriodicalId":386083,"journal":{"name":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130602109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}