{"title":"Analysis and Formulation of Printing Process to Develop Knowledge-Based Scheduling Software","authors":"S. Matsumoto, K. Okuhara, N. Ueno, H. Ishii","doi":"10.1109/ICICIC.2008.157","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.157","url":null,"abstract":"We have addressed the improvement of production efficiency and the review of business process for an automotive parts supplier, and the goal of this study is the development of production management software. This paper describes the business result analysis in printing process and a formulation of the tacit procedure by observing worker's empirical rule to develop the knowledge-based scheduling software. The whole of business processes are clarified by our previous researches, and the scheduling problem of printing process has been mainly discussed. Previously the printing process has been improved only by theoretical aspect, however it cannot flexibly respond to the change of production conditions such as the dispersion of order, the interrupt of urgent task, and the inventory quantity of parts in spite of the actual field can handle these. Therefore this paper regards that the technical know-how of tacit knowledge in the actual printing field is absolutely necessary factor in response to the change of production conditions, and a formulation designed to the minimization of setup operation are expressed.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"13 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":"127990534","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}
Jianbin Ma, Ying Li, Guifa Teng, F. Wang, Yang Zhao
{"title":"Sequential Pattern Mining for Chinese E-mail Authorship Identification","authors":"Jianbin Ma, Ying Li, Guifa Teng, F. Wang, Yang Zhao","doi":"10.1109/ICICIC.2008.489","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.489","url":null,"abstract":"With the rapid growth in computer technology and popularization of Internet, e-mail has become one economical and convenient form of communication. But different types of crime and civil action involving e-mail documents appear which do harm to people's life and social's stabilization. So the criminal e-mail's authorship has to be identified automatically for the purpose of computer forensic. To solve the problem, the appropriate feature extraction and selection methods are essential. Unlike English and other IndoEuropean languages, Chinese text does not have a natural delimiter between words. Word segmentation is a major problem in Chinese text processing. So in this paper, sequential pattern feature mining methods were described without word segmentation. The support vector machine algorithm was adopted as classification algorithm. The experiments on limited samples gained satisfying results, which proved that the sequential pattern feature mining methods were effective.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"219 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":"128175780","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":"Interaction and Controller Selection in Decentraliced Control of TITO Systems: IMC Based PI/PID Approach","authors":"R. Vilanova, P. Balaguer","doi":"10.1109/ICICIC.2008.328","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.328","url":null,"abstract":"Performance of multivariable control systems may be highly degraded because of the existence of interaction terms. It is therefore important to have measures that help in the controller selection procedure. Special attention has to be paid to the potential instability caused by interaction effects generated by the control action on the other loop. This paper provides an analysis by means of an interaction measure defined in terms of the expected interaction to be generated into the control systems in terms of the desired specification for the local control loops, and shows how this can help to select the appropriate controller. Detailed presentation concentrates on the two-input two-output case and the controller design using the IMC method.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"42 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":"121768456","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":"FAVC: Clustering Categorical Data Using the Frequency of Attribute Values Combinations","authors":"Hee-Jung Do, Jae-Yearn Kim","doi":"10.1109/ICICIC.2008.275","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.275","url":null,"abstract":"This paper proposes a new clustering algorithm for categorical data based on the frequency of attribute values combinations (FAVC). This algorithm finds all the combinations of attribute values in a record (which represent a subset of all the attribute values), and then groups the records using the frequency of these combinations. As the FAVC algorithm considers all the subsets of attribute values in a record, records in a cluster have not only similar attribute value sets but also strongly associated attribute values. The FAVC algorithm evaluated with real and synthetic data sets. The FAVC is shown better clustering results and superior running time in comparison with that of COOLCAT.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"266 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":"132127429","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}
Pin-Hsuan Weng, Jen-Pin Yang, Fang-Tsung Liu, Huang-Chu Huang, K. Yu, R. Hwang
{"title":"An Intelligent Fault Diagnostics for Turbine Generator by Modified Neural Model","authors":"Pin-Hsuan Weng, Jen-Pin Yang, Fang-Tsung Liu, Huang-Chu Huang, K. Yu, R. Hwang","doi":"10.1109/ICICIC.2008.151","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.151","url":null,"abstract":"In this paper, an intelligent fault diagnostic tool for oil-fired power plant with turbine generator by using the modified neural network was proposed. This tool is able to monitor the running condition of power plant immediately. It also can reveal the fault situation if the power plant had some troubles. Therefore, such a well designed mechanism can be used as the training tool for laboratory course in power turbine studies. To demonstrate the feasibility of the tool we developed, several real case studies were simulated. From the simulation results shown, the tool we developed is very promising in the real applications.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"12 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":"130432303","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":"Decoupling Double-Loop Control System with ADRC","authors":"Bo Liu, Yuanqing Xia, Jing Chen","doi":"10.1109/ICICIC.2008.212","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.212","url":null,"abstract":"An active disturbance rejection controller (ADRC) is proposed for decoupling double-loop control system. The ADRC consists of the tracking differentiator, the extended state observer and the nonlinear state error feedback. With this approach, the double-loop system with time delay is treated as two correlated control loops according to the best variable pairs selection, the interactions of two control loops can be estimated by the extended state observers, and the nonlinear state error feedback compensates the interactions. Finally, an experiment is designed to show the effectiveness of the proposed scheme.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"102 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":"134266009","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":"Video Compression and Encryption Based-On Multiple Chaotic System","authors":"Qinchun Qian, Zengqiang Chen, Zhuzhi Yuan","doi":"10.1109/ICICIC.2008.597","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.597","url":null,"abstract":"Different from most of recent studies or research on encryption algorithms based on chaotic system, the paper schemes out multiple chaotic system as an encryption approach not only after compressing video streams but also during the processing of compression frame by frame. The so-called multiple chaotic system actually consists of three chaotic or hyperchaotic maps, namely logistics map[l], 2-D Baker Map and a 4-D hyperchaotic Map[2].The three secret key encryptions are carried out as partial encryption when compressing the video data, and as block permutation and confusion after the video compression respectively. The implemented application fully substantiates the favorable efficiency of the proposed scheme such as speedy compression and encryption, overall high security and small size preservation.","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":"134054706","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}
Shiqiang Zhang, Shufang Zhang, Xin-Nian Wang, Yan Wang
{"title":"The Image Compression Method Based on Adaptive Segment and Adaptive Quantified","authors":"Shiqiang Zhang, Shufang Zhang, Xin-Nian Wang, Yan Wang","doi":"10.1109/ICICIC.2008.666","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.666","url":null,"abstract":"An image compression method based on adaptive segment and adaptive quantified is presented in this paper. The image is divided into smooth and detail areas using the multi-threshold-segmentation method based on the potential function. The quantization table varied with the different image. The 2-D DCT is decomposed into 1-D fast DCT based on base-2 FFT. The Compression-to-PSNR Rate can evaluate the image compression result more effectively than that of the compression rate or PSNR respectively. The experiment shows that the algorithm gives the superior performance compared with traditional JPEG.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"38 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":"131601462","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":"Profit-Based Network Design in Express Courier Services","authors":"Hee Jeong Lee, H. Ko, Y. Sohn, C. Ko","doi":"10.1109/ICICIC.2008.433","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.433","url":null,"abstract":"The success of express courier services often depends on both how to assign service centers to consolidation terminals and how to extend their cutoff time (deadline) for direct home deliveries coordinated by service centers near customers. This study suggests an approach to design express courier service networks with respect to assignment of service centers to consolidation terminals and extension of their cutoff times. We propose an integer programming model and a genetic algorithm based solution procedure that allows express couriers to maximize their incremental profit. To demonstrate the practicality and efficiency of the proposed model and its solution procedure, we performed an example problem with reduced data sets from an express courier in Korea.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"84 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":"131713024","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":"Method Based on Triangular Fuzzy Number for Multi-Sensor Object Recognition","authors":"S. Wan","doi":"10.1109/ICICIC.2008.355","DOIUrl":"https://doi.org/10.1109/ICICIC.2008.355","url":null,"abstract":"Aimed at the type recognition problem in which the characteristic values of object types and observations of sensors are in the form of triangular fuzzy numbers, a new fusion method from the viewpoint of decision making theory is proposed. The method transforms the triangular fuzzy numbers elements of decision matrix into the expected value elements. After solving the optimization problem of minimizing the maximum deviation between the object types and the unknown object, the weights of the attributes are obtained. The result of recognition for the unknown object is given by the comprehensive attribute expected values. This method can avoid the subjectivity of selecting attributes weights. It is straightforward and can be performed on computer easily. Finally, a simulated example is given to demonstrate the feasibility and practicability of the proposed method.","PeriodicalId":268087,"journal":{"name":"2008 3rd International Conference on Innovative Computing Information and Control","volume":"126 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":"127585100","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}