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2008 3rd International Conference on Innovative Computing Information and Control最新文献

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A New Solution of Concurrent Field Bus 一种新的并发现场总线解决方案
2008 3rd International Conference on Innovative Computing Information and Control Pub Date : 2008-06-18 DOI: 10.1109/ICICIC.2008.611
Hong Ding, Yanhui Xie, Yanhong Wang, Fuwen Sun, Qiumig Ma
{"title":"A New Solution of Concurrent Field Bus","authors":"Hong Ding, Yanhui Xie, Yanhong Wang, Fuwen Sun, Qiumig Ma","doi":"10.1109/ICICIC.2008.611","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.611","url":null,"abstract":"The paper presented a new technology of industrial field concurrent bus communication. Based on direct sequence spread spectrum, frequency division multiaddress and cross correlation as necessary auxiliary method,it realized a new concurrent field bus communication. The purpose of this study was to overcome common fault existed in communication mode of industrial control field such as 485/232 or CAN field bus,etc. The typical fault was that multiple remote data terminal units (terminals) were not allowed to upload data at the same time or to report the status of themselves initiatively.The technology discussed in the paper allowed the terminals communicate with master PC simultaneously under the new communication mode, when the trouble occurred at monitored equipment, the fault information would be transmitted to control center promptly and actively.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114484448","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}
引用次数: 1
The Extremal Sampling Technique 极值采样技术
2008 3rd International Conference on Innovative Computing Information and Control Pub Date : 2008-06-18 DOI: 10.1109/ICICIC.2008.553
H. Yoshida, Y. Maeda, Y. Fujiwara
{"title":"The Extremal Sampling Technique","authors":"H. Yoshida, Y. Maeda, Y. Fujiwara","doi":"10.1109/ICICIC.2008.553","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.553","url":null,"abstract":"The transcription technique of the acoustic structure has been studied. The maximum and minimum data of the filtered waveform plays a key role in the abstraction of the 3-dimentional acoustic structure of time, energy and frequency. The technique has ascertained that the whole recordings collected from various radio programs comprised not only 6,769 extrema in average but also the remaining 43,250 (86.5 %) of noise level per second. The traditional sampling data with a fixed rate of 44.1 kHz included the approximated extrema within a spectral bandwidth of 40- 5,120 Hz. The conversion from a wav-formatted file to the extremal data was realized with 16.0 % reduction of the file size, preserving the semantic information.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115067489","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}
引用次数: 6
Intelligent Systems and Applications The Predictions of Luminous Intensity and Wavelength of Light-Emitting Diode by Neural Network 智能系统与应用用神经网络预测发光二极管发光强度和波长
2008 3rd International Conference on Innovative Computing Information and Control Pub Date : 2008-06-18 DOI: 10.1109/ICICIC.2008.327
Pin-Hsuan Weng, Fang-Tsung Liu, Huang-Chu Huang, Yu-Ju Chen, R. Hwang
{"title":"Intelligent Systems and Applications The Predictions of Luminous Intensity and Wavelength of Light-Emitting Diode by Neural Network","authors":"Pin-Hsuan Weng, Fang-Tsung Liu, Huang-Chu Huang, Yu-Ju Chen, R. Hwang","doi":"10.1109/ICICIC.2008.327","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.327","url":null,"abstract":"The aim of this research is to predict the luminous intensity and wavelength of light-emitting diode (LED) chip by using neural network technique. The data simulated was measured by electrical luminescence (EL) technique. The well trained neural model could be used to predict the optoelectronic attributes of LED chip in advance. The predicted results are expected to help the engineer can modify the parameters of epitaxy growth accurately to ensure the chip can be in conformance with the quality request.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117071895","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}
引用次数: 0
Study on Convergent Fuzzy Particle Swarm Optimization and Performance Analysis 收敛模糊粒子群优化及其性能分析研究
2008 3rd International Conference on Innovative Computing Information and Control Pub Date : 2008-06-18 DOI: 10.1109/ICICIC.2008.519
Xuelei Meng, L. Jia
{"title":"Study on Convergent Fuzzy Particle Swarm Optimization and Performance Analysis","authors":"Xuelei Meng, L. Jia","doi":"10.1109/ICICIC.2008.519","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.519","url":null,"abstract":"Fuzzy particle swarm optimization (FPSO) has shown its great searching ability and high computing precision, while it can not assure the algorithm is convergent. In this paper, a new kind of FPSO is proposed, called convergent fuzzy particle swarm optimization (CFPSO), employing the convergent gene. It differs from normal FPSO in that a convergent gene is introduced in the velocity equation. And it differs from convergent particle swarm optimization (CPSO) in that it employs the fuzzy membership function in the velocity equation. The CFPSO performance is evaluated with four popular benchmark functions, compared with FPSO, CPSO and standard PSO. The experimental results show the model is well built and better performance can be gained with the new optimization algorithm.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"256 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116394549","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}
引用次数: 4
New Multi-Modulus Algorithms for Blind Decision- Feedback Equalization of High-Order QAM Signals 高阶QAM信号盲决策反馈均衡的新多模算法
2008 3rd International Conference on Innovative Computing Information and Control Pub Date : 2008-06-18 DOI: 10.1109/ICICIC.2008.386
Feng Liu, L. Ge, Jiaming Li, Shigang Liu
{"title":"New Multi-Modulus Algorithms for Blind Decision- Feedback Equalization of High-Order QAM Signals","authors":"Feng Liu, L. Ge, Jiaming Li, Shigang Liu","doi":"10.1109/ICICIC.2008.386","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.386","url":null,"abstract":"Two new multi-modulus algorithms (MMA)-the dual-mode MMA and the stop-and-go dual-mode MMA for blind decision-feedback equalization of highorder quadrature amplitude modulation (QAM) signals are proposed. Simulations using a fractionallyspaced decision-feedback equalization (DFE) setting are used to compare the proposed scheme with the recently introduced multi-modulus algorithm. The proposed blind equalizers are shown to have faster convergence speed and improved steady-state mean square error, compared with the MMA.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123497326","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}
引用次数: 2
An Improved Gene Expression Programming(GEP) Algorithm Based on Classification 基于分类的改进基因表达编程(GEP)算法
2008 3rd International Conference on Innovative Computing Information and Control Pub Date : 2008-06-18 DOI: 10.1109/ICICIC.2008.145
Yong Wu, Chunnian Zeng, Zhang-can Huang, Zong-Yue Wang
{"title":"An Improved Gene Expression Programming(GEP) Algorithm Based on Classification","authors":"Yong Wu, Chunnian Zeng, Zhang-can Huang, Zong-Yue Wang","doi":"10.1109/ICICIC.2008.145","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.145","url":null,"abstract":"This paper presents an improved gene expression programming (GEP) algorithm, which combines the thought of classification and the original GEP operations. Meanwhile it designs a heuristic accelerating searching strategy and a diversity operator, which imports the thought of greedy algorithm and simulated annealing respectively. Experimental results based on comparisons between the improved GEP algorithm and the original GEP algorithm indicate that the improved GEP algorithm solves the contradiction between population diversity and algorithm convergence which has a faster convergence and better ability of searching optimization.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"434 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123606294","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}
引用次数: 4
The Fault Diagnosis System with Self-Repair Function for Screw Oil Pump Based on Fuzzy Neural Network 基于模糊神经网络的螺杆泵自修复故障诊断系统
2008 3rd International Conference on Innovative Computing Information and Control Pub Date : 2008-06-18 DOI: 10.1109/ICICIC.2008.554
Meijuan Gao, Jingwen Tian, Liting Cao, Fan Zhang
{"title":"The Fault Diagnosis System with Self-Repair Function for Screw Oil Pump Based on Fuzzy Neural Network","authors":"Meijuan Gao, Jingwen Tian, Liting Cao, Fan Zhang","doi":"10.1109/ICICIC.2008.554","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.554","url":null,"abstract":"Considering the issues that the relationship between the faults of screw oil pump existent and fault information is a complicated and nonlinear system, and it is very difficult to found the process model to describe it. The fuzzy neural network has the advantages of both fuzzy theory and neural network. In this paper, a fault diagnosis system with self-repair function for screw oil pump based on fuzzy neural network is presented, moreover, we construct the structure of fuzzy neural network that used for the fault diagnosis of screw oil pump, and adopt the LevenbergMarquart optimizing algorithm to train fuzzy neural network. With the ability of strong self-learning and function approach of fuzzy neural network, the diagnosis system can truly diagnose the fault of screw oil pump by learning the fault information. The real diagnosis results show that this system is feasible and effective.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123672440","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}
引用次数: 2
Separating Reflection Components of Smooth Metallic Surface Using Special Random Sampling Method 用特殊随机抽样方法分离光滑金属表面反射分量
2008 3rd International Conference on Innovative Computing Information and Control Pub Date : 2008-06-18 DOI: 10.1109/ICICIC.2008.488
Shiqing Ren, Yan Wang
{"title":"Separating Reflection Components of Smooth Metallic Surface Using Special Random Sampling Method","authors":"Shiqing Ren, Yan Wang","doi":"10.1109/ICICIC.2008.488","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.488","url":null,"abstract":"In smooth metallic surfaces, highlights are very strong and illuminant shapes are often observed as specular reflections. In order to separate specular reflection components and diffuse reflection components on smooth metallic surfaces, a set of real images are taken under various lighting conditions and Special Random Sampling Method is introduced to regenerate diffuse reflection components as well as to obtain specular reflection components. Experimental results show that diffuse reflection components and specular reflection components can be effectively separated in realistic images of smooth metallic surfaces using this technique.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"14 6 Pt 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123717012","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}
引用次数: 4
Vision-Based Predictive Path Tracking Control of a Wheeled Mobile Robot 轮式移动机器人基于视觉的预测路径跟踪控制
2008 3rd International Conference on Innovative Computing Information and Control Pub Date : 2008-06-18 DOI: 10.1109/ICICIC.2008.599
Jui-Liang Yang, Ding-Tsair Su, Y. Shiao
{"title":"Vision-Based Predictive Path Tracking Control of a Wheeled Mobile Robot","authors":"Jui-Liang Yang, Ding-Tsair Su, Y. Shiao","doi":"10.1109/ICICIC.2008.599","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.599","url":null,"abstract":"This paper develops methodologies and techniques for control architecture design, path tracking laws and posture estimation of a vision-based wheeled mobile robot (WMR). To solve the problem of position/orientation tracking control of the WMR, two kinematical predictive control laws are developed to manipulate the vehicle to asymptotically follow the desired trajectories. A Kalman filtering scheme is used to reduce the bad effect of the imagine nose, thereby improving the accuracy of pose estimation. Simulation and experimental results are included to illustrate the feasibility and effectiveness of the proposed control laws.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121913726","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}
引用次数: 1
Research on SIP and H.323 Protocol Conversion SIP与H.323协议转换的研究
2008 3rd International Conference on Innovative Computing Information and Control Pub Date : 2008-06-18 DOI: 10.1109/ICICIC.2008.459
Haiyang Si, L. Dong, Zhaojun Liu
{"title":"Research on SIP and H.323 Protocol Conversion","authors":"Haiyang Si, L. Dong, Zhaojun Liu","doi":"10.1109/ICICIC.2008.459","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.459","url":null,"abstract":"Both of SIP and H.323 are widely used in VoIP. H.323 has wonderful structure. With H.323, it is easy to establish and control a call. SIP is a text based protocol. Although it is simpler than H.323 in structure, its power is as great as H.323. These two protocols offer the same services and functions with different mechanism. So, it is important and significant to achieve their conversion.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122141755","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}
引用次数: 0
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