The Experts below are selected from a list of 24 Experts worldwide ranked by ideXlab platform
Biman Kr. Saha Roy - One of the best experts on this subject based on the ideXlab platform.
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Optimal PMU placement Solution: Graph theory and MCDM-based approach
IET Generation Transmission & Distribution, 2017Co-Authors: Pronob K. Ghosh, Soumesh Chatterjee, Biman Kr. Saha RoyAbstract:In this study, a new method using Graph theory and analytical hierarchy process (AHP)-based multi-criteria decision making approach has been proposed to solve optimal phasor measurement unit (PMU) placement (OPP) problem for complete network observability. The proposed approach assures maximum measurement redundancy too. A decision matrix is formed with some unique criteria from the concept of network Graph theory and this helps to formulate priority vertex ranking using AHP. Candidate vertex search technique is used to enumerate the candidate PMU placement vertices from priority vertex ranking. The contribution of zero injection buses (ZIBs) in PMU placement problem has been considered. The proposed technique is further analysed for complete observability under single PMU loss or line outage cases. The proposed approach is tested on IEEE 14-bus, 24-bus, 30-bus, 57-bus, 118-bus, and New England 39-bus systems. To verify the computational efficiency and higher redundancy of Solutions of the proposed method, the results are compared with some well-established methods reported in the literature. The proposed method is further applied to IEEE 300-bus, Polish 2383-bus and 3120-bus system to show the efficacy of the proposed approach in solving OPP in large scale power systems.
Olga Medvedeva - One of the best experts on this subject based on the ideXlab platform.
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an intelligent tutoring system for visual classification problem solving
Artificial Intelligence in Medicine, 2006Co-Authors: Rebecca S. Crowley, Olga MedvedevaAbstract:Objective: This manuscript describes the development of a general intelligent tutoring system for teaching visual classification problem solving. Materials and methods: The approach is informed by cognitive theory, previous empirical work on expertise in diagnostic problem-solving, and our own prior work describing the development of expertise in pathology. The architecture incorporates aspects of cognitive tutoring system and knowledge-based system design within the framework of the unified problem-solving method description language component model. Based on the domain ontology, domain task ontology and case data, the abstract problem-solving methods of the expert model create a dynamic Solution Graph. Student interaction with the Solution Graph is filtered through an instructional layer, which is created by a second set of abstract problem-solving methods and pedagogic ontologies, in response to the current state of the student model. Results: In this paper, we outline the empirically derived requirements and design principles, describe the knowledge representation and dynamic Solution Graph, detail the functioning of the instructional layer, and demonstrate two implemented interfaces to the system. Conclusion: Using the general visual classification tutor, we have created SlideTutor, a tutoring system for microscopic diagnosis of inflammatory diseases of skin.
Pronob K. Ghosh - One of the best experts on this subject based on the ideXlab platform.
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Optimal PMU placement Solution: Graph theory and MCDM-based approach
IET Generation Transmission & Distribution, 2017Co-Authors: Pronob K. Ghosh, Soumesh Chatterjee, Biman Kr. Saha RoyAbstract:In this study, a new method using Graph theory and analytical hierarchy process (AHP)-based multi-criteria decision making approach has been proposed to solve optimal phasor measurement unit (PMU) placement (OPP) problem for complete network observability. The proposed approach assures maximum measurement redundancy too. A decision matrix is formed with some unique criteria from the concept of network Graph theory and this helps to formulate priority vertex ranking using AHP. Candidate vertex search technique is used to enumerate the candidate PMU placement vertices from priority vertex ranking. The contribution of zero injection buses (ZIBs) in PMU placement problem has been considered. The proposed technique is further analysed for complete observability under single PMU loss or line outage cases. The proposed approach is tested on IEEE 14-bus, 24-bus, 30-bus, 57-bus, 118-bus, and New England 39-bus systems. To verify the computational efficiency and higher redundancy of Solutions of the proposed method, the results are compared with some well-established methods reported in the literature. The proposed method is further applied to IEEE 300-bus, Polish 2383-bus and 3120-bus system to show the efficacy of the proposed approach in solving OPP in large scale power systems.
Rebecca S. Crowley - One of the best experts on this subject based on the ideXlab platform.
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an intelligent tutoring system for visual classification problem solving
Artificial Intelligence in Medicine, 2006Co-Authors: Rebecca S. Crowley, Olga MedvedevaAbstract:Objective: This manuscript describes the development of a general intelligent tutoring system for teaching visual classification problem solving. Materials and methods: The approach is informed by cognitive theory, previous empirical work on expertise in diagnostic problem-solving, and our own prior work describing the development of expertise in pathology. The architecture incorporates aspects of cognitive tutoring system and knowledge-based system design within the framework of the unified problem-solving method description language component model. Based on the domain ontology, domain task ontology and case data, the abstract problem-solving methods of the expert model create a dynamic Solution Graph. Student interaction with the Solution Graph is filtered through an instructional layer, which is created by a second set of abstract problem-solving methods and pedagogic ontologies, in response to the current state of the student model. Results: In this paper, we outline the empirically derived requirements and design principles, describe the knowledge representation and dynamic Solution Graph, detail the functioning of the instructional layer, and demonstrate two implemented interfaces to the system. Conclusion: Using the general visual classification tutor, we have created SlideTutor, a tutoring system for microscopic diagnosis of inflammatory diseases of skin.
Soumesh Chatterjee - One of the best experts on this subject based on the ideXlab platform.
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Optimal PMU placement Solution: Graph theory and MCDM-based approach
IET Generation Transmission & Distribution, 2017Co-Authors: Pronob K. Ghosh, Soumesh Chatterjee, Biman Kr. Saha RoyAbstract:In this study, a new method using Graph theory and analytical hierarchy process (AHP)-based multi-criteria decision making approach has been proposed to solve optimal phasor measurement unit (PMU) placement (OPP) problem for complete network observability. The proposed approach assures maximum measurement redundancy too. A decision matrix is formed with some unique criteria from the concept of network Graph theory and this helps to formulate priority vertex ranking using AHP. Candidate vertex search technique is used to enumerate the candidate PMU placement vertices from priority vertex ranking. The contribution of zero injection buses (ZIBs) in PMU placement problem has been considered. The proposed technique is further analysed for complete observability under single PMU loss or line outage cases. The proposed approach is tested on IEEE 14-bus, 24-bus, 30-bus, 57-bus, 118-bus, and New England 39-bus systems. To verify the computational efficiency and higher redundancy of Solutions of the proposed method, the results are compared with some well-established methods reported in the literature. The proposed method is further applied to IEEE 300-bus, Polish 2383-bus and 3120-bus system to show the efficacy of the proposed approach in solving OPP in large scale power systems.