A. Shannon, D. Langova-Orozova, E. Sotirova, I. Petrounias, K. Atanassov, M. Krawszak, P. Melo-Pinto, Taekyung Kim, V. Tasseva
The research expounded in this paper is a continuation of previous investigations into the modelling of information flow with a typical university. The framework in which this is done is the theory of generalized nets (GNs) (and sub-GNs where appropriate). While the order of procedure might vary from one institution to another, the processes are almost invariant, so that the development of the GN in this paper can be readily adapted or amended to suit particular circumstances, since each transition is constructed in a transparent manner
{"title":"A Generalized Net Model of the Separate Information Flow Connections within a University","authors":"A. Shannon, D. Langova-Orozova, E. Sotirova, I. Petrounias, K. Atanassov, M. Krawszak, P. Melo-Pinto, Taekyung Kim, V. Tasseva","doi":"10.1109/IS.2006.348516","DOIUrl":"https://doi.org/10.1109/IS.2006.348516","url":null,"abstract":"The research expounded in this paper is a continuation of previous investigations into the modelling of information flow with a typical university. The framework in which this is done is the theory of generalized nets (GNs) (and sub-GNs where appropriate). While the order of procedure might vary from one institution to another, the processes are almost invariant, so that the development of the GN in this paper can be readily adapted or amended to suit particular circumstances, since each transition is constructed in a transparent manner","PeriodicalId":116809,"journal":{"name":"2006 3rd International IEEE Conference Intelligent Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130031929","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 achieving high efficiency of artificial intelligence applied in decision-making system of blast furnace, and reducing high technique demands to operators, a new multi-classification method based on support vector machines (SVMs) is proposed. In order to avoid dimension disaster and solve multi-classification problem, use decision directed acyclic graph (DDAG) algorithm combined with each kernel function, and map the training samples into high dimension space utilizing the statistic learning theory. Then compare different performance of each kernel function referring to the actual process data, and select the proper one to construct diagnosis classifier. Through tested different multi-classification strategies, simulation results show that DAGSVM model is superior to the others on testing accuracy and has efficient classification ability
{"title":"Fault Diagnosis of Blast Furnace Based on DAGSVM","authors":"A. Wang, L. Zhang, Nan Gao","doi":"10.1109/IS.2006.348482","DOIUrl":"https://doi.org/10.1109/IS.2006.348482","url":null,"abstract":"For achieving high efficiency of artificial intelligence applied in decision-making system of blast furnace, and reducing high technique demands to operators, a new multi-classification method based on support vector machines (SVMs) is proposed. In order to avoid dimension disaster and solve multi-classification problem, use decision directed acyclic graph (DDAG) algorithm combined with each kernel function, and map the training samples into high dimension space utilizing the statistic learning theory. Then compare different performance of each kernel function referring to the actual process data, and select the proper one to construct diagnosis classifier. Through tested different multi-classification strategies, simulation results show that DAGSVM model is superior to the others on testing accuracy and has efficient classification ability","PeriodicalId":116809,"journal":{"name":"2006 3rd International IEEE Conference Intelligent Systems","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129127822","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 proposed scheme uses an agent-based model to address the aspect of connectivity detection and routing in mobile ad-hoc wireless network environment. Three kinds of agents are used in the model: manager agent (MA), monitoring agent (MOA), and discovery-routing agents (DRA). MOAs of a node in a network are employed to monitor resources (such as transmit power, battery life, bandwidth, reliability, one-hop delay), whereas DRAs discover the links between the mobile nodes, perform routing information fusion and build pre-computed paths so that mobile users can communicate with each other based on the requirements (power/bandwidth/reliability/bandwidth-delay aware) of the network users. MA manages the activities of the discovery and routing agency. The model ensures network connectivity even under the conditions of uncontrolled mobility of nodes. Model has been simulated to test its operation effectiveness. It is observed that agent based approach supports component based software engineering features and facilitates flexible and adaptable discovery and routing information fusion services
{"title":"Agent based Connectivity Detection and Routing in Mobile Ad-hoc Networks","authors":"J. M. Hurakadli, S. Manvi, J. Mallapur","doi":"10.1109/IS.2006.348451","DOIUrl":"https://doi.org/10.1109/IS.2006.348451","url":null,"abstract":"The proposed scheme uses an agent-based model to address the aspect of connectivity detection and routing in mobile ad-hoc wireless network environment. Three kinds of agents are used in the model: manager agent (MA), monitoring agent (MOA), and discovery-routing agents (DRA). MOAs of a node in a network are employed to monitor resources (such as transmit power, battery life, bandwidth, reliability, one-hop delay), whereas DRAs discover the links between the mobile nodes, perform routing information fusion and build pre-computed paths so that mobile users can communicate with each other based on the requirements (power/bandwidth/reliability/bandwidth-delay aware) of the network users. MA manages the activities of the discovery and routing agency. The model ensures network connectivity even under the conditions of uncontrolled mobility of nodes. Model has been simulated to test its operation effectiveness. It is observed that agent based approach supports component based software engineering features and facilitates flexible and adaptable discovery and routing information fusion services","PeriodicalId":116809,"journal":{"name":"2006 3rd International IEEE Conference Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125688433","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}
This paper discusses the knowledge extraction process in an ontology learning system called Hasti. It exploits an automatic, hybrid, symbolic approach to acquire conceptual knowledge and construct flexible and dynamic ontologies from scratch. This approach starts from a small kernel and learns concepts, taxonomic and non-taxonomic relations and axioms from natural language texts. The focus of this paper is on extraction of concepts and conceptual (taxonomic and non-taxonomic) relations using linguistic and template-driven methods. In this paper, the author will first present a brief overview on ontology learning systems and then describing the life cycle for the ontology learning and building process in Haiti, the knowledge extraction process will be discussed in more details. At last the author will present some experimental results of implementation and testing the proposed model
{"title":"Learning Concepts, Taxonomic and Nontaxonomic Relations from texts","authors":"M. Shamsfard","doi":"10.1109/IS.2006.348404","DOIUrl":"https://doi.org/10.1109/IS.2006.348404","url":null,"abstract":"This paper discusses the knowledge extraction process in an ontology learning system called Hasti. It exploits an automatic, hybrid, symbolic approach to acquire conceptual knowledge and construct flexible and dynamic ontologies from scratch. This approach starts from a small kernel and learns concepts, taxonomic and non-taxonomic relations and axioms from natural language texts. The focus of this paper is on extraction of concepts and conceptual (taxonomic and non-taxonomic) relations using linguistic and template-driven methods. In this paper, the author will first present a brief overview on ontology learning systems and then describing the life cycle for the ontology learning and building process in Haiti, the knowledge extraction process will be discussed in more details. At last the author will present some experimental results of implementation and testing the proposed model","PeriodicalId":116809,"journal":{"name":"2006 3rd International IEEE Conference Intelligent Systems","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132080481","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}
In what concerns decisions making process, troupe are obtaining gradually a major role, either as form of information accomplishment, or in the scope of participative management, or even as result of requirement to improvement group efficiency in organizations. It is in this context that group decisions support systems (GDSS) is being subject of study by several researchers. However, the technological development in the PDAs, as well as, the generalization of its use, had enforced its use also in the context group decision support. Here, we make a proposal that has as main intention to support ideas generation and voting tasks. The system proposed here is based on the traditional GDSS, but with the advantage of being accessed by PDA in a Web environment
{"title":"Group Decision Process Supported by Web Enabled Small Screen Devices","authors":"C. Costa, M. Aparicio","doi":"10.1109/IS.2006.348407","DOIUrl":"https://doi.org/10.1109/IS.2006.348407","url":null,"abstract":"In what concerns decisions making process, troupe are obtaining gradually a major role, either as form of information accomplishment, or in the scope of participative management, or even as result of requirement to improvement group efficiency in organizations. It is in this context that group decisions support systems (GDSS) is being subject of study by several researchers. However, the technological development in the PDAs, as well as, the generalization of its use, had enforced its use also in the context group decision support. Here, we make a proposal that has as main intention to support ideas generation and voting tasks. The system proposed here is based on the traditional GDSS, but with the advantage of being accessed by PDA in a Web environment","PeriodicalId":116809,"journal":{"name":"2006 3rd International IEEE Conference Intelligent Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126798087","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}
This study is concerned with an application of particle swarm optimization (PSO) technique for automatic tuning of multi-loop PID controllers for multivariable systems by employing a comprehensive objective function. Controller optimization and tuning of a benchmark multivariable system is addressed to demonstrate merits of the proposed algorithm. Reported results indicate effectiveness of the introduced comprehensive objective function, which fines any violence from desired region defined for the time response of the system in different channels, simultaneously, in addition to the control effort used by the decentralized control system. It is shown that PSO is an effective algorithm in finding the optimal solution for the given problem. The proposed algorithm and PSO method have the ability of being applied to high dimensional industrial applications. The designer of the control system can enjoy optionality provided in the selection of desired region for time response of the system
{"title":"Automatic Tuning of Decentralized Controllers by Swarm Intelligence","authors":"A. Mehrabian, Caro Lucas","doi":"10.1109/IS.2006.348444","DOIUrl":"https://doi.org/10.1109/IS.2006.348444","url":null,"abstract":"This study is concerned with an application of particle swarm optimization (PSO) technique for automatic tuning of multi-loop PID controllers for multivariable systems by employing a comprehensive objective function. Controller optimization and tuning of a benchmark multivariable system is addressed to demonstrate merits of the proposed algorithm. Reported results indicate effectiveness of the introduced comprehensive objective function, which fines any violence from desired region defined for the time response of the system in different channels, simultaneously, in addition to the control effort used by the decentralized control system. It is shown that PSO is an effective algorithm in finding the optimal solution for the given problem. The proposed algorithm and PSO method have the ability of being applied to high dimensional industrial applications. The designer of the control system can enjoy optionality provided in the selection of desired region for time response of the system","PeriodicalId":116809,"journal":{"name":"2006 3rd International IEEE Conference Intelligent Systems","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121278599","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}
R. Jardim-Gonçalves, J.P.M.A. Silva, A. Steiger-Garção, A. Monteiro
Today, the industrial environment is plenty populated with applications helping to support its multiple product life cycle stages. However, organizations typically acquire them aiming to solve focused needs, without an overall view of the global enterprise's system integration. Additionally, implementing new technology in organizations is a complex task, and the advent of continuous technological evolution makes organizations unable to be constantly updated. Such dynamics has a recognized impact in costs and work environment that companies cannot afford, and most of such proposals do not go beyond the research phase. This paper synthesizes research the authors have been developed in the area of intelligent interoperability and ontology, proposing a methodology for enterprise's interoperability enhancement, keeping the same organization's technical and operational environment, improving its methods of work and making better the usability of the installed technology through ontological harmonization of the enterprise product models in use
{"title":"Ontological harmonization of enterprise product models: an experimented scenario","authors":"R. Jardim-Gonçalves, J.P.M.A. Silva, A. Steiger-Garção, A. Monteiro","doi":"10.1109/IS.2006.348522","DOIUrl":"https://doi.org/10.1109/IS.2006.348522","url":null,"abstract":"Today, the industrial environment is plenty populated with applications helping to support its multiple product life cycle stages. However, organizations typically acquire them aiming to solve focused needs, without an overall view of the global enterprise's system integration. Additionally, implementing new technology in organizations is a complex task, and the advent of continuous technological evolution makes organizations unable to be constantly updated. Such dynamics has a recognized impact in costs and work environment that companies cannot afford, and most of such proposals do not go beyond the research phase. This paper synthesizes research the authors have been developed in the area of intelligent interoperability and ontology, proposing a methodology for enterprise's interoperability enhancement, keeping the same organization's technical and operational environment, improving its methods of work and making better the usability of the installed technology through ontological harmonization of the enterprise product models in use","PeriodicalId":116809,"journal":{"name":"2006 3rd International IEEE Conference Intelligent Systems","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131802712","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}
In this paper intelligent agents and DSP techniques are integrated to detect single and multiple faults in electrical circuits. Agents are used to model the AC electrical circuit. A DSP engine is embedded into the agents to analyse the signals, i.e. the energy transfer between the physical components. An AC to DC rectifier circuit is chosen as test-bed for the proposed solutions
{"title":"Detecting Single and Multiple Faults Using Intelligent DSP and Agents","authors":"O. Zaki, K. Brown, J. Fletcher, D. Lane","doi":"10.1109/IS.2006.348388","DOIUrl":"https://doi.org/10.1109/IS.2006.348388","url":null,"abstract":"In this paper intelligent agents and DSP techniques are integrated to detect single and multiple faults in electrical circuits. Agents are used to model the AC electrical circuit. A DSP engine is embedded into the agents to analyse the signals, i.e. the energy transfer between the physical components. An AC to DC rectifier circuit is chosen as test-bed for the proposed solutions","PeriodicalId":116809,"journal":{"name":"2006 3rd International IEEE Conference Intelligent Systems","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116101246","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}
In the agent-based simulation discussed in this paper, we study the dynamics of the power market, when suppliers act following a Q-learning based bidding strategy. Power suppliers aim to satisfy two objectives: the maximization of their profit and their utilization rate. To meet with success their goals, they need to acquire a complex behavior by learning through a continuous exploiting and exploring process. Reinforcement learning theory provides a formal framework, along with a family of learning methods. In this paper we use Q-learning algorithm, perhaps the most popular among temporal difference methods. Q-learning offers suppliers the ability to evaluate their actions and to retain the most profitable of them. A five bus power system is used for our case studies; our experiments are contacted with three supplier-agents in all cases but the last one where sine agents participate. The locational marginal pricing (LMP) system serves as the market clearing mechanism
{"title":"Multi-Agent Reinforcement Learning for Strategic Bidding in Power Markets","authors":"A. C. Tellidou, A. Bakirtzis, Senior Member","doi":"10.1109/IS.2006.348454","DOIUrl":"https://doi.org/10.1109/IS.2006.348454","url":null,"abstract":"In the agent-based simulation discussed in this paper, we study the dynamics of the power market, when suppliers act following a Q-learning based bidding strategy. Power suppliers aim to satisfy two objectives: the maximization of their profit and their utilization rate. To meet with success their goals, they need to acquire a complex behavior by learning through a continuous exploiting and exploring process. Reinforcement learning theory provides a formal framework, along with a family of learning methods. In this paper we use Q-learning algorithm, perhaps the most popular among temporal difference methods. Q-learning offers suppliers the ability to evaluate their actions and to retain the most profitable of them. A five bus power system is used for our case studies; our experiments are contacted with three supplier-agents in all cases but the last one where sine agents participate. The locational marginal pricing (LMP) system serves as the market clearing mechanism","PeriodicalId":116809,"journal":{"name":"2006 3rd International IEEE Conference Intelligent Systems","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116259898","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}
I. Tsoulos, G. Georgoulas, D. Gavrilis, C. Stylios, J. Bernardes, P. Groumpos
Electronic fetal monitoring is an essential tool for fetal surveillance during labor. It is mainly based on the monitoring and evaluation of the fetal heart rate (FHR) signal, which has to be interpreted online. Evaluation and interpretation of FHR gives an indication of the fetal condition. A lot of research efforts have been done towards the development of automatic and reliable methods for processing and evaluating FHR. This research work introduces an integrated methodology for processing and classifying FHR based on the novel approach of grammatical evolution for feature construction and selection. The proposed methodology is presented, and it is applied to a data set. Experimental results are promising paving the way for further research in that direction
{"title":"Introducing Grammatical Evolution in Fetal Heart Rate Analysis and Classification","authors":"I. Tsoulos, G. Georgoulas, D. Gavrilis, C. Stylios, J. Bernardes, P. Groumpos","doi":"10.1109/IS.2006.348480","DOIUrl":"https://doi.org/10.1109/IS.2006.348480","url":null,"abstract":"Electronic fetal monitoring is an essential tool for fetal surveillance during labor. It is mainly based on the monitoring and evaluation of the fetal heart rate (FHR) signal, which has to be interpreted online. Evaluation and interpretation of FHR gives an indication of the fetal condition. A lot of research efforts have been done towards the development of automatic and reliable methods for processing and evaluating FHR. This research work introduces an integrated methodology for processing and classifying FHR based on the novel approach of grammatical evolution for feature construction and selection. The proposed methodology is presented, and it is applied to a data set. Experimental results are promising paving the way for further research in that direction","PeriodicalId":116809,"journal":{"name":"2006 3rd International IEEE Conference Intelligent Systems","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115431204","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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