05431 Abstracts Collection -- Deduction and Applications

From 23.10.05 to 28.10.05, the Dagstuhl Seminar 05431 ``Deduction and Applications\u27\u27 was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available

Fachzeitschrift für Hydrographie und Geoinformation

Second International Issu

Fachzeitschrift für Hydrographie und Geoinformation

Studentische Arbeiten und Preis

QUANTITATIVE RISK ANALYSIS FOR FIRE IN URBAN ROAD TUNNELS

Ph.DDOCTOR OF PHILOSOPH

SPEA2-based safety system multi-objective optimization

Safety systems are designed to prevent the occurrence of certain conditions and their future development into a hazardous situation. The consequence of the failure of a safety system of a potentially hazardous industrial system or process varies from minor inconvenience and cost to personal injury, significant economic loss and death. To minimise the likelihood of a hazardous situation, safety systems must be designed to maximise their availability. Therefore, the purpose of this thesis is to propose an effective safety system design optimization scheme. A multi-objective genetic algorithm has been adopted, where the criteria catered for includes unavailability, cost, spurious trip and maintenance down time. Analyses of individual system designs are carried out using the latest advantages of the fault tree analysis technique and the binary decision diagram approach (BDD). The improved strength Pareto evolutionary approach (SPEA2) is chosen to perform the system optimization resulting in the final design specifications. The practicality of the developed approach is demonstrated initially through application to a High Integrity Protection System (HIPS) and subsequently to test scalability using the more complex Firewater Deluge System (FDS). Computer code has been developed to carry out the analysis. The results for both systems are compared to those using a single objective optimization approach (GASSOP) and exhaustive search. The overall conclusions show a number of benefits of the SPEA2 based technique application to the safety system design optimization. It is common for safety systems to feature dependency relationships between its components. To enable the use of the fault tree analysis technique and the BDD approach for such systems, the Markov method is incorporated into the optimization process. The main types of dependency which can exist between the safety system component failures are identified. The Markov model generation algorithms are suggested for each type of dependency. The modified optimization tool is tested on the HIPS and FDS. Results comparison shows the benefit of using the modified technique for safety system optimization. Finally the effectiveness and application to general safety systems is discussed

Tin and tin compounds

prepared by Syracuse Research Corporation under contract no. 205-1999-00024 ; prepared for U.S. Department of Health and Human Services, Public Health Service, Agency for Toxic Substances and Disease Registry."August 2005."Chemical manager(s)/author(s): Carolyn Harper, ATSDR, Division of Toxicology, Atlanta, GA; Fernando Llados, Gary Diamond, Lara L. Chappell,.Syracuse Research Corporation, North Syracuse, NY --P. ix."A toxicological profile for tin and tin compounds, draft for public comment was released in September 2003. This edition supersedes any previously released draft or final profile"--P. iii."This toxicological profile is prepared in accordance with guidelines developed by the Agency for Toxic Substances and Disease Registry (ATSDR) and the Environmental Protection Agency (EPA). The original guidelines were published in the Federal Register on April 17, 1987"--P. v.Also available via the World Wide Web.Includes bibliographical references (p. 309-369) and index

SPEA2-based safety system multi-objective optimization

Safety systems are designed to prevent the occurrence of certain conditions and their future development into a hazardous situation. The consequence of the failure of a safety system of a potentially hazardous industrial system or process varies from minor inconvenience and cost to personal injury, significant economic loss and death. To minimise the likelihood of a hazardous situation, safety systems must be designed to maximise their availability. Therefore, the purpose of this thesis is to propose an effective safety system design optimization scheme. A multi-objective genetic algorithm has been adopted, where the criteria catered for includes unavailability, cost, spurious trip and maintenance down time. Analyses of individual system designs are carried out using the latest advantages of the fault tree analysis technique and the binary decision diagram approach (BDD). The improved strength Pareto evolutionary approach (SPEA2) is chosen to perform the system optimization resulting in the final design specifications. The practicality of the developed approach is demonstrated initially through application to a High Integrity Protection System (HIPS) and subsequently to test scalability using the more complex Firewater Deluge System (FDS). Computer code has been developed to carry out the analysis. The results for both systems are compared to those using a single objective optimization approach (GASSOP) and exhaustive search. The overall conclusions show a number of benefits of the SPEA2 based technique application to the safety system design optimization. It is common for safety systems to feature dependency relationships between its components. To enable the use of the fault tree analysis technique and the BDD approach for such systems, the Markov method is incorporated into the optimization process. The main types of dependency which can exist between the safety system component failures are identified. The Markov model generation algorithms are suggested for each type of dependency. The modified optimization tool is tested on the HIPS and FDS. Results comparison shows the benefit of using the modified technique for safety system optimization. Finally the effectiveness and application to general safety systems is discussed.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Contribution à la commande sûre des Systèmes à Événements Discrets

Les activités de recherche rentrent dans le spectre de la section 61 du CNU et ont pour domaine l’Automatique des Systèmes à Événements Discrets (SED). Elles sont conduites en vue d’accroître la sûreté de fonctionnement des systèmes automatisés comme ceux qu’il est possible de trouver dans le cadre de la production manufacturière, de la production d'énergie ou du transport. Une grande partie de ces recherches a concerné la conception sûre des systèmes de contrôle-commande à base d’Automates Programmables Industriels (API) et plus particulièrement les thématiques suivantes :- la vérification formelle de programmes de contrôle-commande,- la synthèse algébrique de programmes de contrôle-commande à partir de spécifications informelles,- le test de conformité d’un contrôleur logique vis-à-vis de sa spécification.D'autres recherches ont porté sur la formalisation des outils pour l’analyse de sûreté, utilisés dans le cadre de l’analyse prévisionnelle des risques d’un équipement ou d’une installation industrielle. Cette formalisation des outils utilisés en sûreté a été faite en examinant avec un point de vue SED une problématique qui ne l’était pas à son origine. Il a été étudié :- la modélisation algébrique des arbres de défaillances dynamiques,- l’analyse prévisionnelle des risques d’un point de vue qualitatif pour les systèmes réparables à partir de Boolean logic Driven Markov Processes (BDMPs),- l’analyse prévisionnelle des risques d’un point de vue quantitatif pour les systèmes réparables à l’aide de chaînes de Markov.D'une manière générale, ces activités de recherche ont pour objectif de proposer des apports formels ou méthodologiques à des outils de modélisation généralement issus de l’industrie tout en répondant à des besoins industriels déjà présents ou sur le point de le devenir

SPEA2-based safety system multi-objective optimization

Safety systems are designed to prevent the occurrence of certain conditions and their future development into a hazardous situation. The consequence of the failure of a safety system of a potentially hazardous industrial system or process varies from minor inconvenience and cost to personal injury, significant economic loss and death. To minimise the likelihood of a hazardous situation, safety systems must be designed to maximise their availability. Therefore, the purpose of this thesis is to propose an effective safety system design optimization scheme. A multi-objective genetic algorithm has been adopted, where the criteria catered for includes unavailability, cost, spurious trip and maintenance down time. Analyses of individual system designs are carried out using the latest advantages of the fault tree analysis technique and the binary decision diagram approach (BDD). The improved strength Pareto evolutionary approach (SPEA2) is chosen to perform the system optimization resulting in the final design specifications. The practicality of the developed approach is demonstrated initially through application to a High Integrity Protection System (HIPS) and subsequently to test scalability using the more complex Firewater Deluge System (FDS). Computer code has been developed to carry out the analysis. The results for both systems are compared to those using a single objective optimization approach (GASSOP) and exhaustive search. The overall conclusions show a number of benefits of the SPEA2 based technique application to the safety system design optimization. It is common for safety systems to feature dependency relationships between its components. To enable the use of the fault tree analysis technique and the BDD approach for such systems, the Markov method is incorporated into the optimization process. The main types of dependency which can exist between the safety system component failures are identified. The Markov model generation algorithms are suggested for each type of dependency. The modified optimization tool is tested on the HIPS and FDS. Results comparison shows the benefit of using the modified technique for safety system optimization. Finally the effectiveness and application to general safety systems is discussed.EThOS - Electronic Theses Online ServiceGBUnited Kingdo