{"title":"Time Consumption Analysis of Vehicle on Single Road Section with Pedestrian's Crossing Zebra Numbers","authors":"Jianli Zhao, X. Zhang, Ye Bai","doi":"10.1109/ICFCSA.2011.47","DOIUrl":"https://doi.org/10.1109/ICFCSA.2011.47","url":null,"abstract":"This paper takes into account travel time consumption of vehicles on a city single road section, and establishes the time consumption model based on Beijing road systems. Using MATLAB to carry on the three-dimension relations of the model parameters and the objective function with the road section actual control situation, it has grasped the operation gradation of effects and the operation tendency of each parameter to the objective function, especially the zebra number of pedestrians' crossing and waiting-crossing. Finally, the number of Pedestrian Crossing Zebra (PCZ) proper design can make the vehicle road section time consumption much shorter, especially the main street in downtown area. This result is important for adjusting traffic flows in the rush hour. Giving the number of PCZ of trunk highway and a reasonable signal scenario for decreasing the vehicle passing time in the segment, it can provide reference in the micro-simulation of traffic system in cities.","PeriodicalId":141108,"journal":{"name":"2011 International Conference on Future Computer Sciences and Application","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122009217","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}
O. Hung, L. Song, C. Chan, C. Kan, C. Yuen, Y. H. Zhang
{"title":"Prediction of Laser-Treated Knitted Fabric Colour Properties Based on a New Elman Neural Network","authors":"O. Hung, L. Song, C. Chan, C. Kan, C. Yuen, Y. H. Zhang","doi":"10.1109/ICFCSA.2011.48","DOIUrl":"https://doi.org/10.1109/ICFCSA.2011.48","url":null,"abstract":"The present paper proposes an new optimal Elman neural network modelling to predict the knitted fabric colour properties including the colour yield (in term of K/S value) and CIE Lab values of knitted fabrics under the effect of laser engraving process. The new modified Elman network which have a proportional (P), integral (I), and derivative (D) properties is introduced in this paper. The experiment results illustrate that the proposed prediction model in this study is more feasible and applicable for the knitted fabrics color properties induced by laser engraving.","PeriodicalId":141108,"journal":{"name":"2011 International Conference on Future Computer Sciences and Application","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127667461","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}
Xuanhua Fan, Rui-an Wu, Pu Chen, Zuogui Ning, J. Li
{"title":"Parallel Computing of Large Eigenvalue Problems for Engineering Structures","authors":"Xuanhua Fan, Rui-an Wu, Pu Chen, Zuogui Ning, J. Li","doi":"10.1109/ICFCSA.2011.16","DOIUrl":"https://doi.org/10.1109/ICFCSA.2011.16","url":null,"abstract":"Aimed at large, sparse eigenvalue problems in modal analysis of engineering structures, some predominant algorithms and their corresponding software packages are summarized. A parallel solving system was constructed via integrating these software packages into the finite-element parallel computing framework-PANDA. The finite element model (FEM) of engineering structures was built in pre-processing commercial software-MSC. Patran. Based on the interface between PANDA and MSC. Patran, the model information was translated in PANDA to generate stiffness and mass matrices in a parallel way. Utilizing these matrices, a large-scale parallel computing of eigenvalues was carried out via calling software packages in PANDA. The numerical results show that PANDA frame is competent for carrying out large-scale parallel computing of eigenvalue problems; in virtue of supercomputer, the computing scale attains millions of freedom degrees; and the parallel efficiency is favorable.","PeriodicalId":141108,"journal":{"name":"2011 International Conference on Future Computer Sciences and Application","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126733135","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}