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2010 International Conference on Intelligent Control and Information Processing最新文献

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A color image retrieval method based on wavelet transformation G-Regions Of Interest 一种基于小波变换g感兴趣区域的彩色图像检索方法
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5564169
Gang Xu, Fuliang Yin, S. Zhang, Chaorong Wei
{"title":"A color image retrieval method based on wavelet transformation G-Regions Of Interest","authors":"Gang Xu, Fuliang Yin, S. Zhang, Chaorong Wei","doi":"10.1109/ICICIP.2010.5564169","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5564169","url":null,"abstract":"This paper in the research of Region-Based characteristic image retrieval method foundation, proposed a new kind of the color image retrieval method based on wavelet transformation G-Regions Of Interest (GROI). we first use HVS(Human Visual System) characteristic to choose the color space which fit for the visual characteristics, then use K-means clustering to extract the areas of interest in the wavelet transform domain, and using the local energy of the wavelet coefficients in the areas of interest as a texture feature, color's mean and variance as a color feature, the barycentric coordinates as a position feature, we calculate similarity of between the image content and retrieval. The simulation results show that this GROI method which combined color characteristic,texture characteristic and position characteristic can more accurately find the necessary content of the images to users, significantly improve the accuracy in color image retrieval.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116576817","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
Freeway ramp control based on interval ttype-2 fuzzy inference system 基于区间2型模糊推理系统的高速公路匝道控制
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5564291
Liang Zhao
{"title":"Freeway ramp control based on interval ttype-2 fuzzy inference system","authors":"Liang Zhao","doi":"10.1109/ICICIP.2010.5564291","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5564291","url":null,"abstract":"A wide range of research and application on freeway ramp control have already been carried out in many foreign big cities. National freeway ramp control study is later and more behind and its application is fewer. In this paper, we present the freeway ramp control based on interval type-2 fuzzy controller. In contrast to type-1 fuzzy controller, interval type-2 fuzzy controller can handle uncertain information and anomalistic noise more effectively. Simulation results verify that our proposing method is more effective than some existing methods.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114930603","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
Applying cloud computing in financial service industry 云计算在金融服务行业的应用
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5564162
Aiwu Shi, Youfu Xia, Haiyan Zhan
{"title":"Applying cloud computing in financial service industry","authors":"Aiwu Shi, Youfu Xia, Haiyan Zhan","doi":"10.1109/ICICIP.2010.5564162","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5564162","url":null,"abstract":"The emergence of cloud computing and its increasing popularity have brought great benefits to our life of information. The cloud computing can provide innovative solutions for the companies to reduce cost, improve service performance and make rapid response to the business changes. With the advances of underlying technologies for cloud computing, it is increasingly gaining applications in the financial service industry. In this paper, we first introduce the definition of cloud computing, then compare BPM use cases in financial service industry with three service models of cloud computing. Finally, this paper analyzes the main challenges and risks that exist in the application, and give the solutions as well.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115530999","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: 17
Research of a new recursive fuzzy reasoning method by move rate of membership function and it's application 研究了一种新的基于隶属函数移动率的递归模糊推理方法及其应用
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5564239
Cholman Ho, Jingjiao Li, Sonil Gwak
{"title":"Research of a new recursive fuzzy reasoning method by move rate of membership function and it's application","authors":"Cholman Ho, Jingjiao Li, Sonil Gwak","doi":"10.1109/ICICIP.2010.5564239","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5564239","url":null,"abstract":"Fuzzy reasoning methods have demonstrated their ability to solve different kinds of problems in various applications domains. Currently, there are various fuzzy reasoning methods and applications. This paper points out a kind of new recursive reasoning method which is based on move rate of fuzzy membership functions and it's application. To reduce the time cost by fuzzy reasoning, concepts of move rate and move action are proposed. In recursive fuzzy reasoning, generally, recursion is for consequent fuzzy sets, therefore fuzzy reasoning time is long and then practically programming workings is very difficult for us. Using new method, the designed system is composed of a block of PID operation, block of characteristic sampling, block of characteristic determine, block of PID parametric setpoint, block of fading factor calculation and control object. To determine PID parameters, fuzzy rules is made and proposed recursive fuzzy reasoning is applied. Finally, past method and proposed method is compared and PID parameter auto-turning simulation experiment results is explained.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121208679","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: 3
Fault diagnosis based on Danger Model Immune wavelet neural network 基于危险模型免疫小波神经网络的故障诊断
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5565265
Chuang Zhang, Chen Guo, Qingyang Xu
{"title":"Fault diagnosis based on Danger Model Immune wavelet neural network","authors":"Chuang Zhang, Chen Guo, Qingyang Xu","doi":"10.1109/ICICIP.2010.5565265","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5565265","url":null,"abstract":"Danger Model Immune Algorithm (DMIA) is an algorithm based on the danger theory of biological immune system, and it has a good performance in optimization. DMIA is proposed to initialize the weights and biases of wavelet neural network (WNN), the ergodic weights and biases are used for further net-training. The fault diagnosis for marine diesel engine is conducted by using the well-trained wavelet network. The results indicate that this algorithm is efficient in fault diagnosis.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122103477","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
Research on feature points extraction and matching technology of pipe-wall images 管壁图像特征点提取与匹配技术研究
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5564303
Songsong Li, Xiang Li, Xiaoming Chen, Changhui Deng
{"title":"Research on feature points extraction and matching technology of pipe-wall images","authors":"Songsong Li, Xiang Li, Xiaoming Chen, Changhui Deng","doi":"10.1109/ICICIP.2010.5564303","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5564303","url":null,"abstract":"Pipeline defect recognition is necessary to achieve the online inspection of pipeline. In this paper, the method of pipeline visual inspection is proposed. According to the principle of pipe imaging, Harris corner extraction operator is used to present the NCC algorithm of corner detection and automatic point matching. The feature point identification and matching algorithm of pipeline defect is studied, and the corresponding analytical result indicate the extraction and matching algorithm of pipeline visual inspection is effective.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"127 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123240974","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
Vision measurement method for impact point in large planar region 大平面区域冲击点的视觉测量方法
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5564329
Meilian Liu, Kejie Li, Huimin Cai, Ping Song
{"title":"Vision measurement method for impact point in large planar region","authors":"Meilian Liu, Kejie Li, Huimin Cai, Ping Song","doi":"10.1109/ICICIP.2010.5564329","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5564329","url":null,"abstract":"On the basis of summarizing the methods of camera calibration, a new method of direct geometric solution (DGS) based on calibration objects is proposed. It is required to establish some beacons in particular position with equal height in measurement area. Adjust camera carefully to ensure that the measurement plane is orthogonal to the image plane of the camera. The DGS model which is used to calculate the coordinates of points in measurement area is built with the pinhole imaging model and the coordinates of calibration objects. The comprehensive error caused by measurement error was simulated in MATLAB with DGS model, and the experiment of actual measurement was done. The experiment data was processed respectively by the DGS model and the DLT (direct linear transformation) model. The results show obviously that both the accuracy and error stability of DGS are better than ones of DLT. The average relative error of DGS in this experiment is 0.5%. The DGS model is better than the DLT model in locating the impact point in remote large area.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125372720","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: 5
Incident duration model on urban freeways using Ordered Probit Model 基于有序概率模型的城市高速公路事故持续时间模型
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5564235
Ruimin Li, Xiaoqiang Zhao, Xinxin Yu, Jianan Zhu, Junwei Li, Nan Cheng
{"title":"Incident duration model on urban freeways using Ordered Probit Model","authors":"Ruimin Li, Xiaoqiang Zhao, Xinxin Yu, Jianan Zhu, Junwei Li, Nan Cheng","doi":"10.1109/ICICIP.2010.5564235","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5564235","url":null,"abstract":"Effective traffic incident management requires a full understanding of the various corresponding properties to accurately estimate incident durations and to benefit decision makings of reducing the impact of non-recurring incident relevant congestions. This paper incorporates discrete choice theory in incident duration prediction. Ordered Probit Model is employed to forecast the incident duration. All 62941 incident records from Beijing Transportation Management Bureau are used for model establishment and other 8000 records for validation. The correct estimation ratio of the model is 69.11%, which shows the reliability of the model is rather satisfactory.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125513297","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
A methodology to schedule and optimize job shop scheduling using computational intelligence paradigms 一种使用计算智能范式来调度和优化作业车间调度的方法
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5565253
P. Raajan, P. Surekha, S. Sumathi
{"title":"A methodology to schedule and optimize job shop scheduling using computational intelligence paradigms","authors":"P. Raajan, P. Surekha, S. Sumathi","doi":"10.1109/ICICIP.2010.5565253","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5565253","url":null,"abstract":"Evolutionary computation is emerging as a novel engineering computational paradigm, which plays a significant role in several optimization problems. Job-shop scheduling problem (JSSP) is one among the common NP-hard combinatorial optimization problems. The JSSP is defined as allocation of machines for a set of jobs over time in order to optimize the performance measure satisfying certain constraints like processing time, waiting time, completion time, etc. In this paper an eminent approach based on the paradigms of evolutionary computation for solving job shop scheduling problem is proposed. The solution to the problem is alienated into three phases; planning, scheduling and optimization. Initially, the jobs are scheduled, in which the machines and jobs with respect to levels are planned. Scheduling is optimized using evolutionary computing algorithm such as Genetic Algorithm (GA), which is a powerful search technique, built on a model of the biological evolution. Like natural evolution GA deal with a population of individuals rather than a single solution and fuzzy interface is applied for planning and scheduling of jobs. The well known Fisher and Thompson 10×10 instance (FT10) problem is selected as the experiment problem. The discussion on the proposed techniques and paths of future research are summarized.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128911587","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
Development on fuelcell voltage automatic detection system based on virtual instrument 基于虚拟仪器的燃料电池电压自动检测系统的开发
2010 International Conference on Intelligent Control and Information Processing Pub Date : 2010-09-09 DOI: 10.1109/ICICIP.2010.5564213
Jie Zeng, J. Duan, Shijie Jia, Shaohua Chen, Mulin Liu
{"title":"Development on fuelcell voltage automatic detection system based on virtual instrument","authors":"Jie Zeng, J. Duan, Shijie Jia, Shaohua Chen, Mulin Liu","doi":"10.1109/ICICIP.2010.5564213","DOIUrl":"https://doi.org/10.1109/ICICIP.2010.5564213","url":null,"abstract":"It's necessary to measure each monomer cell voltage of the fuelcell stack in order to ensure fuelcell stack to operate normally. Therefore, a host computer monitoring management software for fuelcell voltage polling measurement based on virtual instrument programming software LabVIEW8.5 was developed. The host computer monitoring management software could show fuelcell's operation voltage to user intuitively in manner of wave illustration, wave form and table through receiving fuelcell's voltage parameters from client computer, and save them with TXT format based on user's demand, thus it is convenient for user to inquire about fuelcell's history and to analyze their status. It is proved that the automatic detection system developed can accomplish sampling, display and saving of fuelcell voltages in real-time after doing experiments on a direct methanol fuelcell.","PeriodicalId":152024,"journal":{"name":"2010 International Conference on Intelligent Control and Information Processing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130946017","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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