{"title":"Technique of upstream signal detection in TWACS","authors":"Wenbing Lu, Xiaowei Bi, P. Li, Bin Hu","doi":"10.1109/CINC.2010.5643751","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643751","url":null,"abstract":"Traditional TWACS system can realize the uplink demodulation by judging the positive and negative of sampling modulation current's accumulation. The demodulation algorithm often uses the square wave to match, but this way is lack of anti-interference ability. In this paper, according to the uplink encoding and the difference time domain, the sampling current signal can be synthesized to a sine signal nearly. Then with the help of the complex wavelet analysis and the algorithm, the synthesis sampling value can be handled and the demodulation will be realized. The simulation and experimental results indicate that the algorithm effectively improve the performance of the traditional demodulation method.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130121824","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 image fusion algorithm based on second generation wavelet transform","authors":"Bin Zhang, Yongguo Zheng, Weiqi Fang, Li-min Cui","doi":"10.1109/CINC.2010.5643811","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643811","url":null,"abstract":"A novel image fusion algorithm based on wavelet lifting scheme is presented. The lifting scheme is a new idea of constructing wavelets and has several unique advantages over conventional convolution-based wavelet transform. It allows for an in-place implementation of wavelet transform and reduces computation time and memory requirement greatly. So in this fusion algorithm, the lifting wavelet transform is employed to decompose and reconstruct images to realize fast image fusion. Meanwhile, a new local feature-based fusion rule is put forward to improve fusion quality and extract all significant features from multi-source images. Extensive experiments on the fusion of registered SPOT Panchromatic/multi-spectral images, multi-focus digital camera images,and medical MRI/CT images have been performed. Finally, visual judgment and several objective evaluation criterions are taken as the means of assessing fusion performance. The experimental results show that the new approach is very effective and is able to fuse multi-source images.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129707602","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":"Ontology management in cloud computing","authors":"Yuzhe Wei, Chen Junpeng","doi":"10.1109/CINC.2010.5643788","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643788","url":null,"abstract":"Cloud computing is an integrated infrastructure for resource sharing and computing in distributed environment. In this paper, we propose an ontology management approach in cloud computing to provide a unique semantic ground to consumer. Ontology application can be performed based on MapReduce computation and provided to user browser or user application.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129525855","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":"L2-L∞ filter design for a class of neutral systems with interval time-varying delay","authors":"Zhijin Li, Dean Zhao, W. Xia","doi":"10.1109/CINC.2010.5643771","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643771","url":null,"abstract":"This paper is concerned with L2-L∞ filtering for a class of neutral systems with interval time-varying delays. The objective is to design a full order filter such that the resulting filtering error system is asymptotically stable with a prescribed L2-L∞ performance satisfied. Based on Lyapunov stability theory, a delay-dependent and rate-dependent sufficient condition for the existence of filter is obtained in terms of linear matrix inequalities (LMIs). The corresponding filter design method is also proposed, while the explicit expression for the desired filter is given. A numerical example is finally included to illustrate the effectiveness of the proposed method.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121986760","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":"Fatigue life analysis of a special vehicle frame based on random vibration","authors":"Fan Qin-man, Wu Yong-hai, Luan Kun","doi":"10.1109/CINC.2010.5643716","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643716","url":null,"abstract":"The fatigue analysis model of vehicle frame based on random vibration theory is established according to studying a new special vehicle frame. According to the stress category of predicted points and material property, the modified fatigue curve(S-N curve) is obtained. Taking the FEA analysis results of the vehicle frame as the basis of fatigue calculation, the fatigue life and the fatigue damage of the vehicle frame are calculated using vehicle vibration theory with road spectrum, meanwhile the calculation results are also discussed. The model and the analysis method adopted in this paper also have significance to fatigue analysis and anti-fatigue design of other vehicle products.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122604411","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":"Improved BP neural network-based back analysis of displacements","authors":"Zhang Guihua, Ma Xianmin, C. Jing","doi":"10.1109/CINC.2010.5643815","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643815","url":null,"abstract":"For the problems of the complex model and the slow speed in the process of the traditional back analysis of displacements, the program of BP neural network is compiled by the M language of MATLAB and is used for the back analysis of displacements. Aimed at the disadvantage of slow convergence of the traditional BP neural network, the method of adding coordinator to neural network and the normalization method are used to quicken the network training rate. The practically measured displacements are input to the trained BP network to obtain the correspondent mechanics parameters, which are then used as the calculation parameters of the finite element calculation, and the calculated displacement values are got. The difference between the calculated displacement values by the finite element analysis and the practically measured values is very slight and the maximum error doesn't exceed 5%. It shows that the method of artificial neural network is fast in model building and calculation, brief in model structure , and high in precision etc. It can be used for back analysis of displacements in engineering.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122821058","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":"Optimal switch placement in distribution networks under different conditions using improved GA","authors":"Lixing Ma, Xinhui Lv, Shouzheng Wang, H. Miyajima","doi":"10.1109/CINC.2010.5643849","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643849","url":null,"abstract":"This paper presents an optimization methodology for placement of switches in medium-voltage loop distribution networks. The primary objective is to minimize the total cost with consideration of achieving high distribution reliability levels. In this paper, four possible states are con-sidered and discussed, and the improved genetic algorithm is adopted to determine the optimal number and locations of sectionalizing switches and interconnection switches. The feasibility and superiority of the proposed algorithm is demonstrated by application to main feeder F1 and F2 among RBTS-BUS 5 system.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126660139","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}
Pang Hui, L. Hongyan, Fang Zongde, Gu Yufeng, Gao Chen
{"title":"Test research for effects of the cab suspension system on heavy vehicle ride Comfort","authors":"Pang Hui, L. Hongyan, Fang Zongde, Gu Yufeng, Gao Chen","doi":"10.1109/CINC.2010.5643879","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643879","url":null,"abstract":"The cab suspension system plays an important role in vehicle ride performance. In order to fully assess the ride comfort characteristics of a heavy vehicle with three diff erent structures of cab suspension system, Road tests under various conditions were carried out. And the vibration characteristics of the three diff erent structures of cab suspension system using front hydraulic and rear airbag with single height valve, 4-point airbag with single height valve and 4-point airbag with double height valve control were respectively analyzed. In additional, the test data was processed in frequency domain. The results show that the ride comfort of the cab suspension system of 4-point airbag with double height valve control is better than that of the other two cab suspensions.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124085725","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":"Applying particle swarm optimization in multiobjective optimization and hybrid optimization","authors":"Jian Jiao, Xianjia Wang, Liubo Zhang","doi":"10.1109/CINC.2010.5643832","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643832","url":null,"abstract":"Particle swarm optimization (PSO), part of the swarm intelligence family, is known to effectively solve large-scale nonlinear optimization problems. PSO has gained widespread appeal amongst researchers and has been shown to offer good performance in a variety of application domains, with potential for hybridisation and specialisation. This paper presents a overview of the basic concepts of PSO according to continuous PSO and discrete PSO. The difference between single objective PSO and multiobjective PSO is presented. At the same time an implementation of PSO in multiobjective optimization is discussed. To overcome the limitations of PSO, hybrid optimization algorithms are proposed by many scholars. Several hybrid PSO approaches are presented in this paper.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126430125","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":"Online querying relational data based on closure","authors":"Zhuang Miao, L. Jie, Jinpeng Wang, Zhou Bo","doi":"10.1109/CINC.2010.5643813","DOIUrl":"https://doi.org/10.1109/CINC.2010.5643813","url":null,"abstract":"Semantic Web has promoted researches on semantic integration of heterogeneous relational databases. Ontology-based heterogeneous relational data integration is recently attracting many diverse attentions, since most of the information is still stored in relational databases. This paper focuses on the query efficiency problem of ontology-based heterogeneous relational databases querying. To improve the query efficiency, we presented an approach for semanticbased querying of relational data. Global schema is described in RDF(S) and can be abstracted as graph. SPARQL queries over global schema are executed by graph mapping. Rounder graph of global schema is generated offline by calculating the RDFS closure of the schema. Our approach has decreased time cost of online querying and improved the efficiency.","PeriodicalId":227004,"journal":{"name":"2010 Second International Conference on Computational Intelligence and Natural Computing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126466419","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}