2006 IEEE International Conference on Computational Cybernetics最新文献

{"title":"Research on Sheepdog Problem Using Cellular Automata","authors":"Y. Adachi, M. Kakikura","doi":"10.20965/jaciii.2007.p1099","DOIUrl":"https://doi.org/10.20965/jaciii.2007.p1099","url":null,"abstract":"The purpose of this paper is to propose a simulation framework for complex path planning problems with multi-agent systems. The paper focuses on the \"sheepdog problem\" that handles distributed autonomous robot systems. This problem is an extension of the \"pursuit problem\" that handles one prey robot and multiple predator robots. The sheepdog problem challenges to handle more complex issue, that is, multiple dog robots try to chase and capture multiple sheep robots. In this paper, we propose the use of Boids model and cellular automata to model the flocking behavior for the sheep robots, and the chasing and capturing behavior for the dog robots. We demonstrate an experiment of the sheepdog problem.","PeriodicalId":160588,"journal":{"name":"2006 IEEE International Conference on Computational Cybernetics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122082977","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":"Term Clustering and Confidence Measurement in Document Clustering","authors":"K. Csorba, I. Vajk","doi":"10.1109/ICCCYB.2006.305694","DOIUrl":"https://doi.org/10.1109/ICCCYB.2006.305694","url":null,"abstract":"A novel topic based document clustering technique is presented in the paper for situations, where there is no need to assign all the documents to the clusters. Under such conditions the clustering system can provide a much cleaner result by rejecting the classification of documents with ambiguous topic. This is achieved by applying a confidence measurement for every classification result and by discarding documents with a confidence value less than a predefined lower limit. This means that our system returns the classification for a document only if it feels sure about it If not, the document is marked as \"unsure\". Beside this ability the confidence measurement allows the use of a much stronger term filtering, performed by a novel, supervised term cluster creation and term filtering algorithm, which is presented in this paper as well.","PeriodicalId":160588,"journal":{"name":"2006 IEEE International Conference on Computational Cybernetics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130727120","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":"Acceleration Based Force-Impedance Control of a 6-dof Parallel Robotic Manipulator","authors":"A. Lopes, F. Almeida","doi":"10.1109/ICCCYB.2006.305726","DOIUrl":"https://doi.org/10.1109/ICCCYB.2006.305726","url":null,"abstract":"An acceleration based force-impedance controller is presented in this paper. The proposed control strategy is applied to a six-dof parallel robotic mini-manipulator: the robotic controlled impedance device (RCID). The control strategy involves three cascade controllers: an inner acceleration controller, built as a set of six single-input- single-output (SISO) acceleration controllers (one per manipulator axis), an impedance task-space controller, and an outer force controller. The proposed control strategy enables two kinds of manipulator behaviour: force limited impedance control and position limited force control. The type of behaviour only depends on the chosen manipulator trajectories. The RCID may be used as a force-impedance controlled auxiliary device, coupled in series with a position controlled industrial robot, or as a stand-alone force feedback display, that may be used as a master manipulator in master-slave telemanipulated systems or as a haptic device interacting with virtual environments. Experimental results of the RCID used as an auxiliary device working coupled to an industrial manipulator are presented.","PeriodicalId":160588,"journal":{"name":"2006 IEEE International Conference on Computational Cybernetics","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128193654","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":"Limitations of sensitivity analysis for neural networks in cases with dependent inputs","authors":"M. Mazurowski, P. Szecówka","doi":"10.1109/ICCCYB.2006.305714","DOIUrl":"https://doi.org/10.1109/ICCCYB.2006.305714","url":null,"abstract":"In this paper the limitations of the sensitivity analysis method for feedforward neural networks in the cases of dependent input variables are discussed. First, it is explained that in such cases there can be many functions implemented by neural networks that will accurately approximate training patterns. Then it is pointed out that many of these functions do not allow for proper estimation of the inputs importance using the sensitivity analysis method for neural networks. These two facts are demonstrated to be the reason why one can not completely rely upon the results of this method, when evaluating a real importance of inputs. Examples with graphs visualizing the discussed phenomena are presented. Finally, general conclusions about overall usefulness of the method are introduced.","PeriodicalId":160588,"journal":{"name":"2006 IEEE International Conference on Computational Cybernetics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128202896","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":"Computerised Dial Gauge Calibration System","authors":"G. Hermann","doi":"10.1109/ICCCYB.2006.305737","DOIUrl":"https://doi.org/10.1109/ICCCYB.2006.305737","url":null,"abstract":"The calibration of dial gauges is a time consuming, cumbersome and monotone process. Due to monotonity the probability of human errors is large both in capturing the measuring data and in it's evaluation. In order to maintain competitiveness automation became compulsory. The present paper describes the design and implementation of an automatic calibration system applying advanced computer technologies and a high precision positioning system based on novel piezo motors providing submicron accuracy.","PeriodicalId":160588,"journal":{"name":"2006 IEEE International Conference on Computational Cybernetics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134520446","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":"Augmenting the Human Entity Through Man/Machine Collaboration","authors":"J. C. Barca, R. Li","doi":"10.1109/ICCCYB.2006.305689","DOIUrl":"https://doi.org/10.1109/ICCCYB.2006.305689","url":null,"abstract":"Both humans and machines exhibit strengths and weaknesses that can be enhanced by merging the two separate entities. This research aims to provide a broader understanding of how closer interaction between these two entities can facilitate more optimal goal related performance through the use of artificial extension of the human body. Such extension may assist us in adapting to and manipulate our environments in a more effective way than any organism observed to day. To demonstrate this concept, the researchers have developed a simulation where a semi interactive virtual spider can be navigated through an environment that includes several obstacles and a virtual predator capable of killing the spider. The virtual spider in turn, can be navigated through the use of three different control systems that when combined optimises overall goal related performance. An onscreen button interface and a touch sensor facilitate human navigation of the spider, while a third control system is based on automatic navigation through the use of Classical AI. The last mentioned control system enables the spider to navigate and react to changes in its local environment with the benefits provided by machine intelligence. The results of this study indicate that machines should be allowed to disobey human control, to obtain optimal benefits of man machine collaboration. This research further indicates that the development of; Strong AI; sensor systems that engage all human senses; extra sensory input systems; physical remote manipulators; intelligent extension of the human body; and a tighter symbiosis between man and machine can support an upgrade of the human form.","PeriodicalId":160588,"journal":{"name":"2006 IEEE International Conference on Computational Cybernetics","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132563088","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":"Providing a Basin of Attraction to a Target Region by Computation of Lyapunov-like Functions","authors":"Zhikun She, Stefan Ratschan","doi":"10.1109/ICCCYB.2006.305705","DOIUrl":"https://doi.org/10.1109/ICCCYB.2006.305705","url":null,"abstract":"In this paper, we present a method for computing a basin of attraction to a target region for non-linear ordinary differential equations. This basin of attraction is ensured by a Lyapunov-like polynomial function that we compute using an interval based branch-and-relax algorithm. This algorithm relaxes the necessary conditions on the coefficients of the Lyapunov-like function to a system of linear interval inequalities that can then be solved exactly, and iteratively reduces the relaxation error by recursively decomposing the state space into hyper-rectangles. Tests on an implementation are promising.","PeriodicalId":160588,"journal":{"name":"2006 IEEE International Conference on Computational Cybernetics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123712886","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":"IT Curriculum as a Complex Emerging Process","authors":"H. Jaakkola, J. Henno, I. Rudas","doi":"10.1109/ICCCYB.2006.305731","DOIUrl":"https://doi.org/10.1109/ICCCYB.2006.305731","url":null,"abstract":"Our civilization runs on software, and the role of software and more generally information technology (IT) is growing all the time. But complaints on software quality are getting more and more common. Software quality depends on many factors and sometimes also universities are blamed - they do not teach the essential skills, that software engineering (SE) education provides too theoretical or old-fashioned courses. Curriculum is a complex emerging system; here are analyzed factors which influence it. The main conclusion is that software is a process and its quality follows from the process quality. Process quality is reached by disciplined practices during the development. Traditionally, software development is based on the predefined path of development phases, which all have their purpose, base practices and outcomes. Opposite to this, there is a trend towards light process oriented software development culture - agile development. In this approach, team work, active role of the client, and incremental product architecture is important. Software development is highly human oriented sector of industry. Productivity can not be increased - at least not dramatically - by tools and automation. New approaches in software industry are based on higher level of automation and reuse of available software assets. Large scale software development is based on reusable platforms, product families, artifacts developed by component factories, but finally especially in the intelligence of the professionals modifying and further developing the available artifacts. In spite of the improvement in automation in \"large scale\" software development, the main part of software is still developed in very traditional way - from the scratch based on careful user requirements elicitation, specification, system design and implementation. SE curriculum should correspond to the industry needs, only then can universities produce highly skilled professionals, which can satisfy needs of software industry. Development of curricula is supported also by different standards, frameworks and recommendations developed by different interest groups, but the role of these \"global\" curricula models in the development of high quality university curricula should not be over-estimated. Different approaches in SE curriculum development are introduced. The experiences of authors provide a path of tested \"good practices\" towards a new curriculum structure implemented in the organizations of the authors.","PeriodicalId":160588,"journal":{"name":"2006 IEEE International Conference on Computational Cybernetics","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116754057","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":"Multivariate Data Classification Using the Distribution Mapping Exponent","authors":"M. Jiřina","doi":"10.1109/ICCCYB.2006.305707","DOIUrl":"https://doi.org/10.1109/ICCCYB.2006.305707","url":null,"abstract":"An exponent similar to the correlation dimension is introduced. This exponent is used for probability density estimation in high-dimensional spaces and for classification of multivariate data. It is also shown that this classifier exhibits significantly better behavior (classification accuracy) than other kinds of classifiers.","PeriodicalId":160588,"journal":{"name":"2006 IEEE International Conference on Computational Cybernetics","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116095231","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":"Situational modeling and control of a small turbojet engine MPM 20","authors":"R. Andoga, L. Madarász, L. Főző","doi":"10.1109/ICCCYB.2006.305727","DOIUrl":"https://doi.org/10.1109/ICCCYB.2006.305727","url":null,"abstract":"Small turbojet engines represent a special class of turbine driven engines. They are suitable for scientific purposes and research of certain thermodynamic processes ongoing in turbojet engines. Moreover such engines can be used for research in the area of alternative fuels and new methods of digital control and measurement. Our research, which is also presented in this article, is headed toward these aims. We evaluate and propose a system of digital measurement of a particular small turbojet engine - MPM 20. Such engine can be considered as highly non-linear large scale system. According to obtained data and experiments we propose situational model and situational control algorithms for the engine with use of certain methods of artificial intelligence as new methods of control of large scale systems.","PeriodicalId":160588,"journal":{"name":"2006 IEEE International Conference on Computational Cybernetics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126406288","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}