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2008 IEEE International Conference on Computational Cybernetics最新文献

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Raising the effectivity of e-learning systems with use of intelligent principles 利用智能原理提高电子学习系统的效率
2008 IEEE International Conference on Computational Cybernetics Pub Date : 2008-12-22 DOI: 10.1109/ICCCYB.2008.4721420
I. Sivý, M. Bučko, L. Madarász
{"title":"Raising the effectivity of e-learning systems with use of intelligent principles","authors":"I. Sivý, M. Bučko, L. Madarász","doi":"10.1109/ICCCYB.2008.4721420","DOIUrl":"https://doi.org/10.1109/ICCCYB.2008.4721420","url":null,"abstract":"E-learning systems are powerful way for bringing the education to people, which wants to be skilled in some area. However, important term in education is quality of this education. Student must have effort to study, and e-learning system must also have tools for bringing educational informations in simplest way, or support learners study as much as it's possible. In present, main problem of e-learning systems is generalisation of learners, it means that all students can take only the same teaching material. In the related way, these informations are served a little bit chaotic and cold\". Solving for this problem could be intelligent e-learning systems (IELS) that are e-learning systems, which have build-in intelligence support (algorithms) for learner's study. Next reason for building IELS is attempt for substitution of the teacher. It's not possible to make absolute substitution for the teacher, but scientific conferences all over the world still brings important conclusions in this area, which can help build interesting systems.","PeriodicalId":320146,"journal":{"name":"2008 IEEE International Conference on Computational Cybernetics","volume":"10 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":"125881062","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
3D Represantion of Approximate Reasoning Process with Type-2 Fuzzy Sets and Distance-based Operators 近似推理过程的2型模糊集和基于距离算子的三维表示
2008 IEEE International Conference on Computational Cybernetics Pub Date : 2008-12-22 DOI: 10.1109/ICCCYB.2008.4721411
M. Takács
{"title":"3D Represantion of Approximate Reasoning Process with Type-2 Fuzzy Sets and Distance-based Operators","authors":"M. Takács","doi":"10.1109/ICCCYB.2008.4721411","DOIUrl":"https://doi.org/10.1109/ICCCYB.2008.4721411","url":null,"abstract":"In the paper after a short review of basic type-2 terms and some related possibilities in T2 approximate reasoning process are given. The introduced Mamdani type of fuzzy approximate reasoning uses the fuzziness of fuzzy sets for the weighting of observed rule. To the describing reasoning process based on type-2 fuzzy sets the 3D representation of those sets is given.","PeriodicalId":320146,"journal":{"name":"2008 IEEE International Conference on Computational Cybernetics","volume":"24 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":"126664346","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
Model of data analysis on interactive web environment for psychometric diagnostics of cognitive functions 基于交互式网络环境的认知功能心理测量诊断数据分析模型
2008 IEEE International Conference on Computational Cybernetics Pub Date : 2008-12-22 DOI: 10.1109/ICCCYB.2008.4721393
V. Ilic
{"title":"Model of data analysis on interactive web environment for psychometric diagnostics of cognitive functions","authors":"V. Ilic","doi":"10.1109/ICCCYB.2008.4721393","DOIUrl":"https://doi.org/10.1109/ICCCYB.2008.4721393","url":null,"abstract":"Modern psychometric uses information technologies intensively. Internet environment that contains diagnostic tests and questioners generates large volumes of data that should be processed. Data mining is integrated in interactive environment for diagnostic of cognitive functions and it's used for searching potentially interesting information that this data contains. This paper describes procedure from collecting information about user's using questioners and diagnostic tests to make conclusions based on collected data.","PeriodicalId":320146,"journal":{"name":"2008 IEEE International Conference on Computational Cybernetics","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":"123492786","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
Evolutionary Algorithm Application for Parameter Estimation of the Anaerobic Digestion Model No. 1 进化算法在厌氧消化模型参数估计中的应用1
2008 IEEE International Conference on Computational Cybernetics Pub Date : 2008-12-22 DOI: 10.1109/ICCCYB.2008.4721387
A. Wenzel
{"title":"Evolutionary Algorithm Application for Parameter Estimation of the Anaerobic Digestion Model No. 1","authors":"A. Wenzel","doi":"10.1109/ICCCYB.2008.4721387","DOIUrl":"https://doi.org/10.1109/ICCCYB.2008.4721387","url":null,"abstract":"The paper present an application of evolutionary algorithms in environmental sciences. It describes the anaerobic digestion process and a suitable mathematical model (anaerobic digestion model no. 1). The anaerobic digestion model no. 1 is adopted on a real waste water treatment plant digestion process. The paper shows how the fitting the anaerobic digestion model no. 1 onto the real digestion process can be solved by the use of evolutionary algorithms.","PeriodicalId":320146,"journal":{"name":"2008 IEEE International Conference on Computational Cybernetics","volume":"39 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":"121632400","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
Developing an Adaptive Fractional Model of a Magnetic Structure using Evolutionary Algorithm 利用进化算法开发磁性结构的自适应分数模型
2008 IEEE International Conference on Computational Cybernetics Pub Date : 2008-12-22 DOI: 10.1109/ICCCYB.2008.4721403
H. Ravanbod, M. Hajihasani, Y. Farjami, E. Norouzi
{"title":"Developing an Adaptive Fractional Model of a Magnetic Structure using Evolutionary Algorithm","authors":"H. Ravanbod, M. Hajihasani, Y. Farjami, E. Norouzi","doi":"10.1109/ICCCYB.2008.4721403","DOIUrl":"https://doi.org/10.1109/ICCCYB.2008.4721403","url":null,"abstract":"Magnetic flux leakage technique is used extensively to detect and characterize defects in natural gas and oil transmission pipelines. The amount of magnetic flux introduced into the test sample is an important factor in the resolution of flaw detection. It depends on the power of permanent magnets and the geometrical design of the magnetic yoke. Finite element method (FEM) is the most widely used method of analyzing magnetic yoke due to its power, accuracy and straightforwardness. On the other hand its calculations are so complicated and time consuming, and every single modification in the parameters of the problem requires a new run. In this paper, we present an innovative method to overcome the problem of heavy calculations. In this method an adaptive fractional model (AFM) is fitted, to the calculated values of FEM, to simulate the behavior of the magnetic yoke for different design parameters with an acceptable error. Tolerating an acceptable amount of error, AFM can be replaced by FEM. This replacement brings about flexibility besides reducing the heavy calculations considerably. Finally, setting the parameters of the model according to the nature of data, the FEM results can be reproduced.","PeriodicalId":320146,"journal":{"name":"2008 IEEE International Conference on Computational Cybernetics","volume":"38 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":"133159990","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
Investigating a Predictive Certainty measure for Ensemble Based HIV Classification Systems 研究基于集成的HIV分类系统的预测确定性度量
2008 IEEE International Conference on Computational Cybernetics Pub Date : 2008-12-22 DOI: 10.1109/ICCCYB.2008.4721412
J. Mistry, F. Nelwamondo, T. Marwala
{"title":"Investigating a Predictive Certainty measure for Ensemble Based HIV Classification Systems","authors":"J. Mistry, F. Nelwamondo, T. Marwala","doi":"10.1109/ICCCYB.2008.4721412","DOIUrl":"https://doi.org/10.1109/ICCCYB.2008.4721412","url":null,"abstract":"This paper investigates whether there is a correlation between the predictive certainty measure for ensemble based classifiers and the prediction accuracy. The predictive certainty measure is the percentage of most dominant outcome from all the possible outcomes for the ensemble of classifiers. Three neural network ensemble classifiers were created using Bagging, Boosting and Bayesian Methods. All three ensembles are used to classify a patients HIV status using demographic variables obtained from an antenatal seroprevalence survey. All three ensembles perform equally well for the HIV classification but the ensemble obtained using Bayesian training method is most suited for giving a relevant predictive certainty measure. The predictive certainty measures obtained for the Bagging and Boosting ensembles are not suitable to use as a confidence measure because the prediction accuracy is low for cases that have high predictive certainty. The Bayesian ensemble is more suitable for making decisions.","PeriodicalId":320146,"journal":{"name":"2008 IEEE International Conference on Computational Cybernetics","volume":"17 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":"131269846","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
FP-Growth Algorithm for Application in Research of Market Basket Analysis FP-Growth算法在市场购物篮分析研究中的应用
2008 IEEE International Conference on Computational Cybernetics Pub Date : 2008-12-22 DOI: 10.1109/ICCCYB.2008.4721419
Yongmei Liu, Yong Guan
{"title":"FP-Growth Algorithm for Application in Research of Market Basket Analysis","authors":"Yongmei Liu, Yong Guan","doi":"10.1109/ICCCYB.2008.4721419","DOIUrl":"https://doi.org/10.1109/ICCCYB.2008.4721419","url":null,"abstract":"During the process of mining frequent item sets, when minimum support is little, the production of candidate sets is a kind of time-consuming and frequent operation in the mining algorithm. The FP growth algorithm does not need to produce the candidate sets, the database which provides the frequent item set is compressed to a frequent pattern tree (or FP tree), and frequent item set is mining by using of FP tree. For the sake of researching market basket analysis, the frequent-pattern is introduced, Visual C++ is applied to design the program to mine the frequent item sets. In view of the frequent K-item set, the various results are contrasted, the goods which is sell possibly at the same time in the supermarket is arranged in the same place.","PeriodicalId":320146,"journal":{"name":"2008 IEEE International Conference on Computational Cybernetics","volume":"106 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":"117219615","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: 23
A Survey of Technologies for Climbing Robots Adhesion to Surfaces 攀爬机器人表面附着技术综述
2008 IEEE International Conference on Computational Cybernetics Pub Date : 2008-12-22 DOI: 10.1109/ICCCYB.2008.4721392
Manuel Silva, José António Tenreiro Machado, J. Tar
{"title":"A Survey of Technologies for Climbing Robots Adhesion to Surfaces","authors":"Manuel Silva, José António Tenreiro Machado, J. Tar","doi":"10.1109/ICCCYB.2008.4721392","DOIUrl":"https://doi.org/10.1109/ICCCYB.2008.4721392","url":null,"abstract":"Climbing robots are being developed for applications ranging from cleaning to inspection of difficult to reach constructions. These machines should be capable of travelling on different types of surfaces (such as floors, walls, ceilings) and to walk between such surfaces. Furthermore, these machines should adapt and reconfigure for various environment conditions and should be self-contained. Regarding the adhesion to the surface, they should be able to produce a secure gripping force using a light-weight mechanism. Bearing these facts in mind, this paper presents a survey of different technologies used for climbing robots adhesion to surfaces.","PeriodicalId":320146,"journal":{"name":"2008 IEEE International Conference on Computational Cybernetics","volume":"9 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":"130003955","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: 58
Using of Genetic Algorithm for Designing of Fuzzy Controller 应用遗传算法设计模糊控制器
2008 IEEE International Conference on Computational Cybernetics Pub Date : 2008-12-22 DOI: 10.1109/ICCCYB.2008.4721404
R. Lonščák, A. Jadlovská
{"title":"Using of Genetic Algorithm for Designing of Fuzzy Controller","authors":"R. Lonščák, A. Jadlovská","doi":"10.1109/ICCCYB.2008.4721404","DOIUrl":"https://doi.org/10.1109/ICCCYB.2008.4721404","url":null,"abstract":"This paper deals with using of genetic algorithm for optimization of membership functions of fuzzy PI controller, which is obtained from linear PI controller. Application of fuzzy PI controller in control of simulation nonlinear model of hydraulic system with goal to solve problem tracking reference trajectories. Algorithm is coded in simulation language Matlab/Simulink, which is verified in control structure.","PeriodicalId":320146,"journal":{"name":"2008 IEEE International Conference on Computational Cybernetics","volume":"8 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":"128886700","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
Incremental Model Synchronization by Bi-Directional Model Transformations 双向模型转换的增量模型同步
2008 IEEE International Conference on Computational Cybernetics Pub Date : 2008-12-22 DOI: 10.1109/ICCCYB.2008.4721408
I. Madari, L. Lengyel, G. Mezei
{"title":"Incremental Model Synchronization by Bi-Directional Model Transformations","authors":"I. Madari, L. Lengyel, G. Mezei","doi":"10.1109/ICCCYB.2008.4721408","DOIUrl":"https://doi.org/10.1109/ICCCYB.2008.4721408","url":null,"abstract":"Model transformation is a focused area in model-driven software development. With the help of model transformations we can generate source code, other models and documentation from the source models. During the development, a recurring problem is that the source and target artifacts coexist and they evolve independently. This means that after the transformation the target artifacts can be changed by the developer. The problem in this case is that the target artifact will not be consistent with the source model. One option to maintain consistency is by synchronizing our artifacts with model transformation. With the help of synchronization, the developer can work on each artifact, because they are consistent. However the synchronization can be quite complex and cannot be applied in many cases. Usually the inverse transformation does not exist, or it cannot be determined uniquely. This paper presents how we can track the modifications of the transformation, and how we can use this information in the synchronization process.","PeriodicalId":320146,"journal":{"name":"2008 IEEE International Conference on Computational Cybernetics","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":"132066219","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: 9
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