Collaborative design is a new technique for mechanical design. Multi-agent system (MAS) can cooperate with others to solve problems by network of software agents. Collaborative design system includes design agent, manage agent, conflict resolution agent and so on. A method based on MAS is present to solve the resource finding among agents. Firstly, the relationship between multi-agent systems and peer to peer systems is introduced. Then a distributed searching method is applied to find knowledge. Agent searches for the resource by neighbor, which will go until the agents find the right resource. The random path and team searching style are provided to solve the problem, which is compared by the simulation. The hybrid method including random path and team searching is suit for knowledge discovery. Knowledge discovery method works successfully in collaborative design based on MAS.
{"title":"Research on Resource Discovery in MAS for Collaborative Design","authors":"J. Hou, Chong Su, Shuang Liang, Wanshan Wang","doi":"10.1109/ISCID.2008.186","DOIUrl":"https://doi.org/10.1109/ISCID.2008.186","url":null,"abstract":"Collaborative design is a new technique for mechanical design. Multi-agent system (MAS) can cooperate with others to solve problems by network of software agents. Collaborative design system includes design agent, manage agent, conflict resolution agent and so on. A method based on MAS is present to solve the resource finding among agents. Firstly, the relationship between multi-agent systems and peer to peer systems is introduced. Then a distributed searching method is applied to find knowledge. Agent searches for the resource by neighbor, which will go until the agents find the right resource. The random path and team searching style are provided to solve the problem, which is compared by the simulation. The hybrid method including random path and team searching is suit for knowledge discovery. Knowledge discovery method works successfully in collaborative design based on MAS.","PeriodicalId":315303,"journal":{"name":"2008 International Symposium on Computational Intelligence and Design","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129810444","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}
Simulation of trees based on synthetic characteristics is one of the hotspots in computer graphics. After thoroughly investigating the principle of L-system, we propose a thought----modeling trees based on synthetic characteristics with L-system. Detailed three-step method how to model trees with L-system is brought forward. The modeling process based on synthetic characteristics is circumstantiated: how to control the sparseness and exuberance, how to simulate trees of different appearance such as spherical, coniform, cylindrical and so on. Experiment shows that the thought is reasonable and operable, the result graph is true to nature and the thought is of referenced value in modeling field.
{"title":"L-system Modeling Based on Trees' Synthetic Characteristics","authors":"Chunhua Wang, Dong Han, Kejian Yang","doi":"10.1109/ISCID.2008.129","DOIUrl":"https://doi.org/10.1109/ISCID.2008.129","url":null,"abstract":"Simulation of trees based on synthetic characteristics is one of the hotspots in computer graphics. After thoroughly investigating the principle of L-system, we propose a thought----modeling trees based on synthetic characteristics with L-system. Detailed three-step method how to model trees with L-system is brought forward. The modeling process based on synthetic characteristics is circumstantiated: how to control the sparseness and exuberance, how to simulate trees of different appearance such as spherical, coniform, cylindrical and so on. Experiment shows that the thought is reasonable and operable, the result graph is true to nature and the thought is of referenced value in modeling field.","PeriodicalId":315303,"journal":{"name":"2008 International Symposium on Computational Intelligence and Design","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133903017","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}
To efficiently solve multi-objective discrete optimization problems, combining evolutionary computation with local search, an improved Pareto fitness genetic algorithm (IPFGA) was proposed. In the IPFGA, some features have been added to the original PFGA. The IPFGA after genetic optimization applies a local search on every solution, and adopts an external set truncation strategy to improve search efficiency of evolutionary algorithms. Additionally, the fitness assignment was modified to get more extensive Pareto optimal solutions. The experimental results show that the IPFGA, compared with the PFGA, can improve search efficiency of optimization and find more approximate Pareto optimal solutions.
{"title":"Improving the Performance of the Pareto Fitness Genetic Algorithm for Multi-Objective Discrete Optimization","authors":"Kaibing Yang, Xiaobing Liu","doi":"10.1109/ISCID.2008.155","DOIUrl":"https://doi.org/10.1109/ISCID.2008.155","url":null,"abstract":"To efficiently solve multi-objective discrete optimization problems, combining evolutionary computation with local search, an improved Pareto fitness genetic algorithm (IPFGA) was proposed. In the IPFGA, some features have been added to the original PFGA. The IPFGA after genetic optimization applies a local search on every solution, and adopts an external set truncation strategy to improve search efficiency of evolutionary algorithms. Additionally, the fitness assignment was modified to get more extensive Pareto optimal solutions. The experimental results show that the IPFGA, compared with the PFGA, can improve search efficiency of optimization and find more approximate Pareto optimal solutions.","PeriodicalId":315303,"journal":{"name":"2008 International Symposium on Computational Intelligence and Design","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125237237","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}
The Internet enables learners to be brought together where they can cooperate in learning in groups without space and time limitations. Interaction is a critical success factor that affects group learning. In this study, we propose a useful grouping method to help teachers improve group-learning in e-learning by first establishing effective groups based on the naive Bayes method. Personal characteristics will affect the communication modes within the group learning process. We identify four different attributes for further research of high-interaction and high-satisfaction groups - learning periods (Time), Region, Age, and Value types. Field observations and quantitative evidence show the validity and practicability of the proposed method.
{"title":"A Design to Promote Group Learning in e-learning by Naive Bayesian","authors":"Qing Yang, Shi-jue Zheng, Juying Huang, Junwei Li","doi":"10.1109/ISCID.2008.154","DOIUrl":"https://doi.org/10.1109/ISCID.2008.154","url":null,"abstract":"The Internet enables learners to be brought together where they can cooperate in learning in groups without space and time limitations. Interaction is a critical success factor that affects group learning. In this study, we propose a useful grouping method to help teachers improve group-learning in e-learning by first establishing effective groups based on the naive Bayes method. Personal characteristics will affect the communication modes within the group learning process. We identify four different attributes for further research of high-interaction and high-satisfaction groups - learning periods (Time), Region, Age, and Value types. Field observations and quantitative evidence show the validity and practicability of the proposed method.","PeriodicalId":315303,"journal":{"name":"2008 International Symposium on Computational Intelligence and Design","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127796726","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}
The singular value eigenvectors are often used to recognise the different kinds of mineral oil. The eigenvectors are obtained by the Excitation-Emission Matrix (EEM) factorization from the three-dimensional fluorescence spectroscopy. They are complicated and not easy to be recognised by the simple formula. A new type neural network-wavelet neural network (WNN) was introduced. The singular value eigenvectors were used to be the input of the WNN. The mapping relation was obtained by the WNN between the singular value eigenvector and the species of the mineral oil. The WNN realized the recognition of the different kinds of mineral oil. The experiment result indicates that the right of the distinguish rate is 95%. The WNN has much higher resolution and less training times than BP networks.
{"title":"The Three-Dimensional Fluorescence Spectroscopy Recognition of the Mineral Oil Based on the Wavelet Neural Network","authors":"L. Jiangtao, Wang Yutian, Pan Zhao, Y. Ni","doi":"10.1109/ISCID.2008.135","DOIUrl":"https://doi.org/10.1109/ISCID.2008.135","url":null,"abstract":"The singular value eigenvectors are often used to recognise the different kinds of mineral oil. The eigenvectors are obtained by the Excitation-Emission Matrix (EEM) factorization from the three-dimensional fluorescence spectroscopy. They are complicated and not easy to be recognised by the simple formula. A new type neural network-wavelet neural network (WNN) was introduced. The singular value eigenvectors were used to be the input of the WNN. The mapping relation was obtained by the WNN between the singular value eigenvector and the species of the mineral oil. The WNN realized the recognition of the different kinds of mineral oil. The experiment result indicates that the right of the distinguish rate is 95%. The WNN has much higher resolution and less training times than BP networks.","PeriodicalId":315303,"journal":{"name":"2008 International Symposium on Computational Intelligence and Design","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129572150","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}
Malignant breast tumors appear spiculate or microlobulate in the boundary and irregular in shape. But benign breast masses appear smooth in the boundary and round in shape. We used polygonal modeling to draw Index of spiculation(SI), index of lobule(IF), measure of fractal dimension (FD) and measure of circularity (C) to represent the characteristic of the boundary and the shape of breast masses. The boundary of the mass is divided into three type: 1. spiculate; 2. microlobulate; 3.smooth.The shape of the mass is divided into two types: 1. irregular; 2. sub-circular. Considering the boundary and the shape style the masses can be divided into malignant ones and benign ones. The test is based on a dataset of 93 images from MIAS with 54 benign masses and 39 malignant tumors. The accuracy of the classification reach 0.9265 in terms of the area(Az) under the ROC curve.
{"title":"Shape and Boundary Analysis for Classification of Breast Masses","authors":"Zhou Weiqiang, Xu Xiangmin, Huang Wei","doi":"10.1109/ISCID.2008.78","DOIUrl":"https://doi.org/10.1109/ISCID.2008.78","url":null,"abstract":"Malignant breast tumors appear spiculate or microlobulate in the boundary and irregular in shape. But benign breast masses appear smooth in the boundary and round in shape. We used polygonal modeling to draw Index of spiculation(SI), index of lobule(IF), measure of fractal dimension (FD) and measure of circularity (C) to represent the characteristic of the boundary and the shape of breast masses. The boundary of the mass is divided into three type: 1. spiculate; 2. microlobulate; 3.smooth.The shape of the mass is divided into two types: 1. irregular; 2. sub-circular. Considering the boundary and the shape style the masses can be divided into malignant ones and benign ones. The test is based on a dataset of 93 images from MIAS with 54 benign masses and 39 malignant tumors. The accuracy of the classification reach 0.9265 in terms of the area(Az) under the ROC curve.","PeriodicalId":315303,"journal":{"name":"2008 International Symposium on Computational Intelligence and Design","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115840125","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}
Jian-qiang Li, Songjiang Wang, Cheng-lin Niu, Ji-zhen Liu
As the development of electric industry, more and more real-time data is sent to databases by data acquisition system and large amounts of data are accumulated. Abundant knowledge exists in those historical data. It is meaning to analyze those historical data in electric industry and find useful knowledge and rules from the mass of data to provide better decision support and better adjustment guidance. The concept and steps of data mining is introduced in particular. Based on the characteristic of electric data, the data mining technique is introduced into the electric industry and the feasibility and necessity are discussed. The application of data mining in electric power industrial is discussed. The fault diagnosis and operation optimization based on data mining is researched in detail. The application of data mining in electric industry can guide the optimal operation based on historical data and improve the economic efficient in power plant.
{"title":"Research and Application of Data Mining Technique in Power Plant","authors":"Jian-qiang Li, Songjiang Wang, Cheng-lin Niu, Ji-zhen Liu","doi":"10.1109/ISCID.2008.191","DOIUrl":"https://doi.org/10.1109/ISCID.2008.191","url":null,"abstract":"As the development of electric industry, more and more real-time data is sent to databases by data acquisition system and large amounts of data are accumulated. Abundant knowledge exists in those historical data. It is meaning to analyze those historical data in electric industry and find useful knowledge and rules from the mass of data to provide better decision support and better adjustment guidance. The concept and steps of data mining is introduced in particular. Based on the characteristic of electric data, the data mining technique is introduced into the electric industry and the feasibility and necessity are discussed. The application of data mining in electric power industrial is discussed. The fault diagnosis and operation optimization based on data mining is researched in detail. The application of data mining in electric industry can guide the optimal operation based on historical data and improve the economic efficient in power plant.","PeriodicalId":315303,"journal":{"name":"2008 International Symposium on Computational Intelligence and Design","volume":"55 43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130212327","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}
The cell overlapping phenomenon often appears in the urinary sediment images. Separating overlapped cells into individual ones is a great important and difficult task for the automatic urinary sediment examination system. To solve this problem, an efficient segmenting algorithm based on combination strategy is proposed in this paper. The algorithm first locates the overlapped cells utilizing the improved adaptive threshold segmentation algorithm with mathematical morphology processing, and then adopts the watersheds algorithm based on distance transform to segment them. The experimental results of this algorithm are found to be very efficient and precise. Furthermore, the algorithm apparently improves the performance of the automatic urinary sediment examination system.
{"title":"Urinary Sediment Overlapping Cells Image Segmentation Based on Combination Strategy","authors":"Zhang Shi, Q. Jinlong, Qin Guangjie","doi":"10.1109/ISCID.2008.21","DOIUrl":"https://doi.org/10.1109/ISCID.2008.21","url":null,"abstract":"The cell overlapping phenomenon often appears in the urinary sediment images. Separating overlapped cells into individual ones is a great important and difficult task for the automatic urinary sediment examination system. To solve this problem, an efficient segmenting algorithm based on combination strategy is proposed in this paper. The algorithm first locates the overlapped cells utilizing the improved adaptive threshold segmentation algorithm with mathematical morphology processing, and then adopts the watersheds algorithm based on distance transform to segment them. The experimental results of this algorithm are found to be very efficient and precise. Furthermore, the algorithm apparently improves the performance of the automatic urinary sediment examination system.","PeriodicalId":315303,"journal":{"name":"2008 International Symposium on Computational Intelligence and Design","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125575148","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}
Maintaining consistency constraints in a complicated development environment is ever an open problem, as different development tools are usually involved which in turn use various files or databases to store their data. To solve this problem, current XML technology was used to build a repository which manages all data of a development effort. XML queries were also presented to state consistency constraints in this paper and a generic light-weighted checking tool was provided to perform queries and to present results, which was designed to be flexibly tailored to the requirements of different projects and integrated in a Web-based, distributed environment.
{"title":"Integrated Consistency Constraints Checking in a Complicated Development Environment","authors":"Yong Piao, Xiukun Wang, Zhendong Shang","doi":"10.1109/ISCID.2008.44","DOIUrl":"https://doi.org/10.1109/ISCID.2008.44","url":null,"abstract":"Maintaining consistency constraints in a complicated development environment is ever an open problem, as different development tools are usually involved which in turn use various files or databases to store their data. To solve this problem, current XML technology was used to build a repository which manages all data of a development effort. XML queries were also presented to state consistency constraints in this paper and a generic light-weighted checking tool was provided to perform queries and to present results, which was designed to be flexibly tailored to the requirements of different projects and integrated in a Web-based, distributed environment.","PeriodicalId":315303,"journal":{"name":"2008 International Symposium on Computational Intelligence and Design","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127516610","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}
With a descriptive and predictive ability, data mining (DM) can discover the hidden patterns of data from a large-scale data warehouse by precise mathematical means, which is surpportable for decision making. With a structural equation model(SEM) analysis, this paper examines an important issue concerned to corporate governance - ownership structure, structure of board of directors and firm performance. Based on a sample of 520 public companies, it is found that ownership structure generally has significant effect on firm performance, with different indicators having different influence on performance, while there is no relationship between structure of board of directors and firm performance.
{"title":"Data Mining in Corporate Governance: Ownership Structure, Structure of Board of Directors and Firm Performance","authors":"Qi Yue, Hailin Lan, Luan Jiang","doi":"10.1109/ISCID.2008.53","DOIUrl":"https://doi.org/10.1109/ISCID.2008.53","url":null,"abstract":"With a descriptive and predictive ability, data mining (DM) can discover the hidden patterns of data from a large-scale data warehouse by precise mathematical means, which is surpportable for decision making. With a structural equation model(SEM) analysis, this paper examines an important issue concerned to corporate governance - ownership structure, structure of board of directors and firm performance. Based on a sample of 520 public companies, it is found that ownership structure generally has significant effect on firm performance, with different indicators having different influence on performance, while there is no relationship between structure of board of directors and firm performance.","PeriodicalId":315303,"journal":{"name":"2008 International Symposium on Computational Intelligence and Design","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121272028","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：