{"title":"Learning fuzzy logic based intelligent determination of feedrate for end milling operation","authors":"Xiankun Lin, Aiping Li, Weimin Zhang","doi":"10.1109/ISDA.2006.182","DOIUrl":"https://doi.org/10.1109/ISDA.2006.182","url":null,"abstract":"Feasible feedrate plays an important role in improving machining efficiency in end milling operation, but it needs complicated calculation to acquire the value. The paper presents a learning fuzzy logic based approach for intelligent determination of the condition. Limitations about rule-based expert system in selection of machining parameters for milling process are summarized and discussed. Then a learning fuzzy logic based inference model is brought forth as an intelligent feedrate selection engine according to three machining conditions: tool diameter, cutting depth and material hardness. A method composed with artificial neural network and data cluster is applied to obtain the inference knowledge for the fuzzy logic model. In the end, an illustration is given to show the applicability of the proposed approach. The results show good performance in determination of the parameter. A conclusion is reached that the reasoning logic can provide a new measure in intelligent selection of feedrate for end milling process","PeriodicalId":116729,"journal":{"name":"Sixth International Conference on Intelligent Systems Design and Applications","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126781166","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":"Bankruptcy Liquidation Model","authors":"Ling Li, F. Deng","doi":"10.1109/ISDA.2006.16","DOIUrl":"https://doi.org/10.1109/ISDA.2006.16","url":null,"abstract":"As a competitive mechanism of only the fittest survives, bankruptcy is a common business phenomenon. Allocation of bankruptcy property is an issue of concern to many scholars. Bankruptcy liquidation models are often deficient. In this paper, based on complete information of creditors' claims, their maximum expectation and minimum requirements, creditors' utility functions are improved. Utility functions are the keys of allocation rules. The liquidation model constructed in this paper provides the specific bankruptcy problems only a unique distribution result. The result is stable, every creditor are equal at satisfaction degree. That is to say, the allocation rule is impartial","PeriodicalId":116729,"journal":{"name":"Sixth International Conference on Intelligent Systems Design and Applications","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126260329","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":"Enterprise Website Topic Modeling and Web Resource Search","authors":"Baoli Dong, Huimei Liu","doi":"10.1109/ISDA.2006.25","DOIUrl":"https://doi.org/10.1109/ISDA.2006.25","url":null,"abstract":"Domain-specific Web resource discovery is a key issue for resources sharing and reuse. Considering the text semantic information inside enterprise sites reflects the Web site structures and textual content feature, a novel Web site topic feature modeling method are presented in this paper. The Web site classification algorithm on the basis of the hybrid vector employs the effective kind of support vector machine (SVM). Manufacturing enterprise Web site search from the Web is implemented to verify the classification performances. Moreover, the accuracy and efficiency of enterprise sites search are improved by revised search strategies. Finally, a prototype system of Web enterprise resource service is introduced. It preliminarily demonstrates that this method is of good applicability for specific Web resource discovery","PeriodicalId":116729,"journal":{"name":"Sixth International Conference on Intelligent Systems Design and Applications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123013594","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 Learning Classifier System Approach to Clustering","authors":"K. Tamee, L. Bull, O. Pinngern","doi":"10.1109/ISDA.2006.62","DOIUrl":"https://doi.org/10.1109/ISDA.2006.62","url":null,"abstract":"This paper presents a novel approach to clustering using a simple accuracy-based learning classifier system. Our approach achieves this by exploiting the evolutionary computing and reinforcement learning techniques inherent to such systems. The purpose of the work is to develop an approach to learning rules which accurately describe clusters without prior assumptions as to their number within a given dataset. Favourable comparisons to the commonly used k-means algorithm are demonstrated on a number of datasets","PeriodicalId":116729,"journal":{"name":"Sixth International Conference on Intelligent Systems Design and Applications","volume":"282 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123125667","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 System for Landscape Photograph Localization","authors":"Tetsuya Suzuki, T. Tokuda","doi":"10.1109/ISDA.2006.80","DOIUrl":"https://doi.org/10.1109/ISDA.2006.80","url":null,"abstract":"We present a system which supports localization of landscape photographs. Localization of a photograph is to assign the camera parameters to the photograph. The parameters are the camera's position, direction, focus and film size to take the photograph. An application of the system is metadata generation for location oriented search systems. Target photographs for the system are landscape photographs such that terrain in the photographs is enough characteristic to specify the locations. We describes features of photographic objects and a search area to define a search problem. The system takes the problem definition and an initial solution set as its input, and improves the solutions by a specified algorithm. We can use a genetic algorithm and a local search algorithm as the algorithm. Key points to the system are what we can describe to define search problems, and how effectively the system searches good solutions. Two evaluation experiments under an ideal condition shows that its expressiveness is enough and the system can find appropriate solutions effectively.","PeriodicalId":116729,"journal":{"name":"Sixth International Conference on Intelligent Systems Design and Applications","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126342697","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 model and dynamics for reticulated supply chain based on multi-agent system","authors":"Lei Zhang, Yi-jun Li, Yaoxuan Xu","doi":"10.1109/ISDA.2006.253735","DOIUrl":"https://doi.org/10.1109/ISDA.2006.253735","url":null,"abstract":"In essence, supply chain is a dynamic complex system that is composed of a multiplicity of entities with independent decision-making ability. Traditional models, such as chain-shaped, radial-shaped and so on, are not fit for this complex setting any more. This paper models a multi-agent based reticulated supply chain, which well describes the relationship among the goods flow, capital flow and information flow exiting in the supply-demand, enterprise groups and virtual factories which are the elements of supply chain. Taking a two-agent system for example, this paper studies the chaos in supply chain through calculation and simulation of Lyapunov exponent, power spectrum and correlation dimension, and also pioneers the study of its application prospect in flexible production, providing a new illuminating insight into supply chain management","PeriodicalId":116729,"journal":{"name":"Sixth International Conference on Intelligent Systems Design and Applications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114245948","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":"Robust Stabilization of Wheeled Mobile Robots Moving on Uncertain Uneven Surface","authors":"Xiaocai Zhu, Guohua Dong, D. Hu, Zixing Cai","doi":"10.1109/ISDA.2006.43","DOIUrl":"https://doi.org/10.1109/ISDA.2006.43","url":null,"abstract":"A solution is presented to the robust control problem of wheeled mobile robots moving on an uneven surface that is not exactly known. Quadratic surface with unknown but bounded coefficients is utilized to locally approximate the uneven surface. The design procedure is based on the transverse function method, integrator backstepping, and Lyapunov redesign technique. After exploring the left-invariance property of the kinematic subsystem of the wheeled mobile robots with respect to the standard group operation of the Lie group SE(2) we use transverse function to derive smooth \"virtual\" control laws which render the error subsystem exponentially stable. Then, the integrator backstepping technique is applied to the nominal dynamic system due to the smoothness of the \"virtual\" control laws. Finally, a Lyapunov redesign component is constructed to handle the gravity disturbance caused by the surface. Driven by the proposed control laws, the wheeled mobile robot has the ability to adapt to varying uneven surface condition. Some simulations are provided to validate the effectiveness of the algorithm","PeriodicalId":116729,"journal":{"name":"Sixth International Conference on Intelligent Systems Design and Applications","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116100722","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":"Multi-rate Multivariable Model Predictive Control For Integrating Processes","authors":"Jianfeng Li, Lifang Zhou","doi":"10.1109/ISDA.2006.201","DOIUrl":"https://doi.org/10.1109/ISDA.2006.201","url":null,"abstract":"In this paper, the multi-rate multivariable system in which outputs measured are less frequently than inputs updated is studied. By lifting technique, the model predictive control for multi-rate multivariable integrating system is proposed. The controller is based on a state-space model in which the output is represented as a continuous function of time. Taking advantage of this particular model form, the cost functions is defined in terms of the integral of the output error along an infinite prediction horizon. The methods are verified by the application of the proposed approach to an integrating example","PeriodicalId":116729,"journal":{"name":"Sixth International Conference on Intelligent Systems Design and Applications","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121664699","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":"Solution for Dynamics Equations of Control Systems with Time-delay by Precise Integral Algorithm","authors":"Chuanbo Ren, Xiangtao Tian","doi":"10.1109/ISDA.2006.253823","DOIUrl":"https://doi.org/10.1109/ISDA.2006.253823","url":null,"abstract":"The dynamic system with time-delay exists in various engineering fields. A delayed controlled machine system can be dispersed into an ordinary differential equation with time-delay. The precise integral algorithm used in the paper is a new method for finding the solution of time-delay dynamics systems. Disperse the system equation by treating the delay term as power term, and get the discrete solution by discussing the integral limitations and by linear interpolation and Romberg integral. The comparison with other algorithms reveals that the proposed method is of very simple course and of high accuracy","PeriodicalId":116729,"journal":{"name":"Sixth International Conference on Intelligent Systems Design and Applications","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124907697","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}
Huan Wei, Jingjie Jiang, X.-Z. Zhen, Lideng Pan, G. Wen
{"title":"Simple Generalized Predictive Control Algorithm with Stability Design","authors":"Huan Wei, Jingjie Jiang, X.-Z. Zhen, Lideng Pan, G. Wen","doi":"10.1109/ISDA.2006.253833","DOIUrl":"https://doi.org/10.1109/ISDA.2006.253833","url":null,"abstract":"For some open loop unstable processes a simple generalized predictive control algorithm with stability design is proposed. The open loop system is stabilized using the pole placement method. For this generalized stable system the simple generalized predictive control algorithm is got which can guarantee the closed loop stability. It reduces the heavy computational load as used in conventional prediction techniques. It has one parameter with certain sense and is easy to implement. It can deal with the unstable and nonminimum phase systems with time delay. The simulations compared with the standard generalized predictive control algorithm for several unstable processes show the controller performance","PeriodicalId":116729,"journal":{"name":"Sixth International Conference on Intelligent Systems Design and Applications","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122404476","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}