T. Hiroyasu, Akiyuki Nakamura, Sho Shinohara, Masato Yoshimi, M. Miki, Hisatake Yokouchi
Many types of artifacts can be connected and controlled over a network. However, when a lot of artifacts are connected, it is very difficult to control with conventional interface switches. The interface of these systems should be suitable for each individual user and should be designed for ease of operation. In this paper, a new type of user-friendly interface for a networked lighting system that can be controlled over the network is proposed. In the proposed system, the user operates the lighting system by designing the illuminance distribution, and the system learns user's sensory scale to support this design.
{"title":"Intelligent Lighting Control User Interface through Design of Illuminance Distribution","authors":"T. Hiroyasu, Akiyuki Nakamura, Sho Shinohara, Masato Yoshimi, M. Miki, Hisatake Yokouchi","doi":"10.1109/ISDA.2009.198","DOIUrl":"https://doi.org/10.1109/ISDA.2009.198","url":null,"abstract":"Many types of artifacts can be connected and controlled over a network. However, when a lot of artifacts are connected, it is very difficult to control with conventional interface switches. The interface of these systems should be suitable for each individual user and should be designed for ease of operation. In this paper, a new type of user-friendly interface for a networked lighting system that can be controlled over the network is proposed. In the proposed system, the user operates the lighting system by designing the illuminance distribution, and the system learns user's sensory scale to support this design.","PeriodicalId":330324,"journal":{"name":"2009 Ninth International Conference on Intelligent Systems Design and Applications","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123401235","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}
Trust and Reputation management play an important role in agent-based Recommender Systems. Although several protocols and ontologies of agents using trust and reputation has been proposed, none of them has been so extensively used and implicitly accepted by research community as those from Agent Reputation and Trust (ART in advane) testbed. The motivation of this adaptation is to facilitate the use of ART principles in real distributed applications instead of a centralized testbed for experimentation. This paper presents an adaptation of the protocols proposed by ART testbed to a codification for the most popular Agent platform: JADE. This implementation follows a coherent API with the FIPA protocols included in JADE distribution for an easy use. We also complement the behaviours of corresponding initiators and responders of the protocols with an ontology formed by a collection of concepts, predicates and agent actions that may represent as the ART application domain as any other service-oriented domain. The proposal has been designed to be applied in domains where multi-agent e-commerce solutions are needed. Future work includes the integration of this ontology and protocols in context-aware scenarios such as an airport.
信任和声誉管理在基于智能体的推荐系统中起着重要的作用。虽然已经提出了几种使用信任和声誉的代理协议和本体，但它们都没有像来自代理信誉和信任(ART in advance)测试平台的协议和本体那样被研究团体广泛使用和隐含接受。这种调整的动机是促进在真实的分布式应用程序中使用ART原则，而不是用于实验的集中测试平台。本文将ART测试平台提出的协议改编为最流行的Agent平台JADE的编码。为了便于使用，该实现遵循一个与JADE发行版中包含的FIPA协议一致的API。我们还用一个本体来补充协议的相应发起者和响应者的行为，该本体由一系列概念、谓词和代理动作组成，可以表示为ART应用领域和任何其他面向服务的领域。该方案被设计用于需要多代理电子商务解决方案的领域。未来的工作包括在上下文感知场景(如机场)中集成该本体和协议。
{"title":"A JADE-Based ART-Inspired Ontology and Protocols for Handling Trust and Reputation","authors":"J. Carbo, J. M. Molina","doi":"10.1109/ISDA.2009.48","DOIUrl":"https://doi.org/10.1109/ISDA.2009.48","url":null,"abstract":"Trust and Reputation management play an important role in agent-based Recommender Systems. Although several protocols and ontologies of agents using trust and reputation has been proposed, none of them has been so extensively used and implicitly accepted by research community as those from Agent Reputation and Trust (ART in advane) testbed. The motivation of this adaptation is to facilitate the use of ART principles in real distributed applications instead of a centralized testbed for experimentation. This paper presents an adaptation of the protocols proposed by ART testbed to a codification for the most popular Agent platform: JADE. This implementation follows a coherent API with the FIPA protocols included in JADE distribution for an easy use. We also complement the behaviours of corresponding initiators and responders of the protocols with an ontology formed by a collection of concepts, predicates and agent actions that may represent as the ART application domain as any other service-oriented domain. The proposal has been designed to be applied in domains where multi-agent e-commerce solutions are needed. Future work includes the integration of this ontology and protocols in context-aware scenarios such as an airport.","PeriodicalId":330324,"journal":{"name":"2009 Ninth International Conference on Intelligent Systems Design and Applications","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122058320","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}
Genetic fuzzy rule selection has been successfully used to design accurate and interpretable fuzzy classifiers from numerical data. In our former study, we proposed its parallel distributed implementation which can drastically decrease the computational time by dividing both a population and a training data set into sub-groups. In this paper, we examine the effect of data reduction on the generalization ability of fuzzy rule-based classifiers designed by our parallel distributed approach. Through computational experiments, we show that data reduction can be realized without severe deterioration in the generalization ability of the designed fuzzy classifiers.
{"title":"Effects of Data Reduction on the Generalization Ability of Parallel Distributed Genetic Fuzzy Rule Selection","authors":"Y. Nojima, H. Ishibuchi","doi":"10.1109/ISDA.2009.228","DOIUrl":"https://doi.org/10.1109/ISDA.2009.228","url":null,"abstract":"Genetic fuzzy rule selection has been successfully used to design accurate and interpretable fuzzy classifiers from numerical data. In our former study, we proposed its parallel distributed implementation which can drastically decrease the computational time by dividing both a population and a training data set into sub-groups. In this paper, we examine the effect of data reduction on the generalization ability of fuzzy rule-based classifiers designed by our parallel distributed approach. Through computational experiments, we show that data reduction can be realized without severe deterioration in the generalization ability of the designed fuzzy classifiers.","PeriodicalId":330324,"journal":{"name":"2009 Ninth International Conference on Intelligent Systems Design and Applications","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123598363","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}
Alfredo Zapata, Víctor Hugo Menéndez Domínguez, Manuel E. Prieto
Metadata is the key to describe Learning Objects. Through them, we can search and reuse these resources. However, there are pedagogical and usability characteristics that metadata do not normally contain. Sources of additional information such as activity log registers in repositories can help to specify such attributes. Data mining techniques allow identifying Learning Objects usability characteristics. This paper presents the results of applying a knowledge extraction methodology to Learning Objects through the use of four data sources: metadata, pedagogical quality evaluations, user’s profiles, and log files from Learning Objects management systems.
{"title":"Discovering Learning Objects Usability Characteristics","authors":"Alfredo Zapata, Víctor Hugo Menéndez Domínguez, Manuel E. Prieto","doi":"10.1109/ISDA.2009.184","DOIUrl":"https://doi.org/10.1109/ISDA.2009.184","url":null,"abstract":"Metadata is the key to describe Learning Objects. Through them, we can search and reuse these resources. However, there are pedagogical and usability characteristics that metadata do not normally contain. Sources of additional information such as activity log registers in repositories can help to specify such attributes. Data mining techniques allow identifying Learning Objects usability characteristics. This paper presents the results of applying a knowledge extraction methodology to Learning Objects through the use of four data sources: metadata, pedagogical quality evaluations, user’s profiles, and log files from Learning Objects management systems.","PeriodicalId":330324,"journal":{"name":"2009 Ninth International Conference on Intelligent Systems Design and Applications","volume":"83 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125920869","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}
Andrés Soto, J. A. Olivas, F. P. Romero, J. Serrano-Guerrero
Existing search engines and question-answering (QA) systems have made possible processing large volumes of textual information. Current work on QA has mainly focused on answering two basic types of questions: factoid and definition questions. However, the capability to synthesize an answer to a query by drawing on bodies of information which reside in various parts of the knowledge base is not among the capabilities of those systems. In this paper, a system oriented to infer query answers from a collection of propositions expressed in natural language is introduced. By means of a specific example, it is outlined how the system proceeds to face those situations. This approach is based on the use of formal constraining relations modeling copulative and comparative sentences. Combining those propositions with others contained in different knowledge bases and applying deduction rules, the desired answer could be obtained.
{"title":"An Experiment About Using Copulative and Comparative Sentences as Constraining Relations","authors":"Andrés Soto, J. A. Olivas, F. P. Romero, J. Serrano-Guerrero","doi":"10.1109/ISDA.2009.224","DOIUrl":"https://doi.org/10.1109/ISDA.2009.224","url":null,"abstract":"Existing search engines and question-answering (QA) systems have made possible processing large volumes of textual information. Current work on QA has mainly focused on answering two basic types of questions: factoid and definition questions. However, the capability to synthesize an answer to a query by drawing on bodies of information which reside in various parts of the knowledge base is not among the capabilities of those systems. In this paper, a system oriented to infer query answers from a collection of propositions expressed in natural language is introduced. By means of a specific example, it is outlined how the system proceeds to face those situations. This approach is based on the use of formal constraining relations modeling copulative and comparative sentences. Combining those propositions with others contained in different knowledge bases and applying deduction rules, the desired answer could be obtained.","PeriodicalId":330324,"journal":{"name":"2009 Ninth International Conference on Intelligent Systems Design and Applications","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121856425","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}
D. Menicucci, A. Gemignani, Andrea Piarulli, R. Bedini, C. Gentili, G. Handjaras, S. Danti, M. Guazzelli, M. Laurino, P. Piaggi, A. Landi
Spontaneous cerebral blood oxygenation level-dependent (BOLD) fluctuations are gaining interest in the neurophysiology community. These oscillations are prominent in the low-frequency range with spatiotemporal correlations. From a healthy individual, a basal resting state BOLD fMRI acquisition has been performed by collecting 4 slices. Voxel signals from seven selected regions have been considered. We assumed a composite null-hypothesis of oscillations embedded in “red noise”. To extract oscillations from BOLD signals we applied the Monte Carlo Singular Spectrum Analysis (SSA). Phase-synchronization of the oscillatory components, in the low-frequency range 0.085-0.13Hz, have been also achieved. As results, region-dependent distributions were apparent both for the noise parameters and for the number of connections between voxels. Although further studies on population samples should confirm the result consistency, the SSA technique combined with a phase-synchronization analysis seems a feasible method to extract low frequency BOLD spontaneous oscillations and to find functional connections among cerebral areas.
{"title":"Extraction and Synchronization of BOLD Spontaneous Oscillations Using Singular Spectrum Analysis","authors":"D. Menicucci, A. Gemignani, Andrea Piarulli, R. Bedini, C. Gentili, G. Handjaras, S. Danti, M. Guazzelli, M. Laurino, P. Piaggi, A. Landi","doi":"10.1109/ISDA.2009.178","DOIUrl":"https://doi.org/10.1109/ISDA.2009.178","url":null,"abstract":"Spontaneous cerebral blood oxygenation level-dependent (BOLD) fluctuations are gaining interest in the neurophysiology community. These oscillations are prominent in the low-frequency range with spatiotemporal correlations. From a healthy individual, a basal resting state BOLD fMRI acquisition has been performed by collecting 4 slices. Voxel signals from seven selected regions have been considered. We assumed a composite null-hypothesis of oscillations embedded in “red noise”. To extract oscillations from BOLD signals we applied the Monte Carlo Singular Spectrum Analysis (SSA). Phase-synchronization of the oscillatory components, in the low-frequency range 0.085-0.13Hz, have been also achieved. As results, region-dependent distributions were apparent both for the noise parameters and for the number of connections between voxels. Although further studies on population samples should confirm the result consistency, the SSA technique combined with a phase-synchronization analysis seems a feasible method to extract low frequency BOLD spontaneous oscillations and to find functional connections among cerebral areas.","PeriodicalId":330324,"journal":{"name":"2009 Ninth International Conference on Intelligent Systems Design and Applications","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121860056","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 stock market volatility and the actual stock exchange activity have increased the need of counting with effective methods on the part of financial analysts to achieve a division in relation to the investment actions, being also growing the demand of methodological instruments that reduce and minimize the risks and uncertainty when valuating financial actives and companies. These systems not only must use quantitative information but the inclusion of qualitative information must also bear heavily on them, as an improvement element in the adjustment of these valuating methods, with the aim of throwing a more well-conceived or less mistaken decision. In this work, we present an alternative strategic assessment of business based in quantitative information.
{"title":"Strategic Assessment of Business","authors":"J. Doña, J. I. Peláez, Luis G. Vargas","doi":"10.1109/ISDA.2009.95","DOIUrl":"https://doi.org/10.1109/ISDA.2009.95","url":null,"abstract":"The stock market volatility and the actual stock exchange activity have increased the need of counting with effective methods on the part of financial analysts to achieve a division in relation to the investment actions, being also growing the demand of methodological instruments that reduce and minimize the risks and uncertainty when valuating financial actives and companies. These systems not only must use quantitative information but the inclusion of qualitative information must also bear heavily on them, as an improvement element in the adjustment of these valuating methods, with the aim of throwing a more well-conceived or less mistaken decision. In this work, we present an alternative strategic assessment of business based in quantitative information.","PeriodicalId":330324,"journal":{"name":"2009 Ninth International Conference on Intelligent Systems Design and Applications","volume":"478 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121976881","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}
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors to reflect decision class labels. It is therefore intuitive to retain only those features that are related to or lead to these decision classes. However, in unsupervised learning, decision class labels are not provided, which poses questions such as; which features should be retained? and, why not use all of the information? The problem is that not all features are important. Some of the features may be redundant, and others may be irrelevant and noisy. In this paper, some new fuzzy-rough set-based approaches to unsupervised feature selection are proposed. These approaches require no thresholding or domain information, and result in a significant reduction in dimensionality whilst retaining the semantics of the data.
{"title":"Measures for Unsupervised Fuzzy-Rough Feature Selection","authors":"Neil MacParthaláin, Richard Jensen","doi":"10.3233/HIS-2010-0118","DOIUrl":"https://doi.org/10.3233/HIS-2010-0118","url":null,"abstract":"For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors to reflect decision class labels. It is therefore intuitive to retain only those features that are related to or lead to these decision classes. However, in unsupervised learning, decision class labels are not provided, which poses questions such as; which features should be retained? and, why not use all of the information? The problem is that not all features are important. Some of the features may be redundant, and others may be irrelevant and noisy. In this paper, some new fuzzy-rough set-based approaches to unsupervised feature selection are proposed. These approaches require no thresholding or domain information, and result in a significant reduction in dimensionality whilst retaining the semantics of the data.","PeriodicalId":330324,"journal":{"name":"2009 Ninth International Conference on Intelligent Systems Design and Applications","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126604246","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}
We develop a new approach for dealing with uncertain information in a decision making problem about tourism management. We use a new aggregation operator that uses the uncertain weighted average and the uncertain induced ordered weighted averaging (UIOWA) operator in the same formulation. We study some of the main advantages and properties of the new aggregation called uncertain induced ordered weighted averaging - weighted averaging (UIOWAWA) operator. We study its applicability in a decision making problem about the selection of holiday trips. We see that depending on the particular type of UIOWAWA operator used, the results may lead to different decisions.
{"title":"On the Use of the Uncertain Induced OWA Operator and the Uncertain Weighted Average and its Application in Tourism Management","authors":"J. Merigó, A. M. G. Lafuente, O. Cunill","doi":"10.1109/ISDA.2009.239","DOIUrl":"https://doi.org/10.1109/ISDA.2009.239","url":null,"abstract":"We develop a new approach for dealing with uncertain information in a decision making problem about tourism management. We use a new aggregation operator that uses the uncertain weighted average and the uncertain induced ordered weighted averaging (UIOWA) operator in the same formulation. We study some of the main advantages and properties of the new aggregation called uncertain induced ordered weighted averaging - weighted averaging (UIOWAWA) operator. We study its applicability in a decision making problem about the selection of holiday trips. We see that depending on the particular type of UIOWAWA operator used, the results may lead to different decisions.","PeriodicalId":330324,"journal":{"name":"2009 Ninth International Conference on Intelligent Systems Design and Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131585168","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 adequate and rational drugs selection is considered one of the main objectives in Hospital scenarios. The drugs evaluation for their inclusion in the Hospital Pharmacy requires considering multiple evaluation aspects and criteria where different people are involved with different roles, valuations and preferences with the aim of analyzing a great number of factors and characteristics from a huge number of resources with imprecise assessments. This paper presents a consensus decision model combining quantitative information with fuzzy multigranular linguistic information to support the selection of drugs for their inclusion in the Hospital Universitario Virgen de la Victoria from Málaga.
{"title":"Definition of a Consensual Drug Selection Process in Hospital Universitario Virgen de la Victoria","authors":"Jesús M. Doña Fernánde, I. Moya, J. López","doi":"10.1109/ISDA.2009.94","DOIUrl":"https://doi.org/10.1109/ISDA.2009.94","url":null,"abstract":"The adequate and rational drugs selection is considered one of the main objectives in Hospital scenarios. The drugs evaluation for their inclusion in the Hospital Pharmacy requires considering multiple evaluation aspects and criteria where different people are involved with different roles, valuations and preferences with the aim of analyzing a great number of factors and characteristics from a huge number of resources with imprecise assessments. This paper presents a consensus decision model combining quantitative information with fuzzy multigranular linguistic information to support the selection of drugs for their inclusion in the Hospital Universitario Virgen de la Victoria from Málaga.","PeriodicalId":330324,"journal":{"name":"2009 Ninth International Conference on Intelligent Systems Design and Applications","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128973839","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}
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