The Experts below are selected from a list of 3048 Experts worldwide ranked by ideXlab platform
Deep Medhi - One of the best experts on this subject based on the ideXlab platform.
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Backup path Restoration Design using path generation technique
Fourth International Workshop on Design of Reliable Communication Networks 2003. (DRCN 2003). Proceedings., 1Co-Authors: Balaji Krithikaivasan, Shekhar Srivastava, Michal Pioro, Deep MedhiAbstract:In this work, we study a flow Restoration based network Design Problem where we assume the knowledge of possible failure situations. We use the idea of a situation disjoint path pair (nominal path, backup path) which are constructed in such a way that at least one of them is operational in any given failure situation for a flow. We present an approximate linear programming formulation of the Problem and show how path generation technique (based on column generation) can be used to solve it. The path generation approach is an iterative method that allows us to add new path pairs based on dual Lagrangean multipliers in every iteration. We consider four different scenarios that differ in the way we compute and add new path pairs at every iteration. We present the results of our approach for an example network. From our observations, we conclude that path generation approach is an effective method to solve the backup path Restoration Design Problem.
Balaji Krithikaivasan - One of the best experts on this subject based on the ideXlab platform.
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Backup path Restoration Design using path generation technique
Fourth International Workshop on Design of Reliable Communication Networks 2003. (DRCN 2003). Proceedings., 1Co-Authors: Balaji Krithikaivasan, Shekhar Srivastava, Michal Pioro, Deep MedhiAbstract:In this work, we study a flow Restoration based network Design Problem where we assume the knowledge of possible failure situations. We use the idea of a situation disjoint path pair (nominal path, backup path) which are constructed in such a way that at least one of them is operational in any given failure situation for a flow. We present an approximate linear programming formulation of the Problem and show how path generation technique (based on column generation) can be used to solve it. The path generation approach is an iterative method that allows us to add new path pairs based on dual Lagrangean multipliers in every iteration. We consider four different scenarios that differ in the way we compute and add new path pairs at every iteration. We present the results of our approach for an example network. From our observations, we conclude that path generation approach is an effective method to solve the backup path Restoration Design Problem.
Shekhar Srivastava - One of the best experts on this subject based on the ideXlab platform.
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Backup path Restoration Design using path generation technique
Fourth International Workshop on Design of Reliable Communication Networks 2003. (DRCN 2003). Proceedings., 1Co-Authors: Balaji Krithikaivasan, Shekhar Srivastava, Michal Pioro, Deep MedhiAbstract:In this work, we study a flow Restoration based network Design Problem where we assume the knowledge of possible failure situations. We use the idea of a situation disjoint path pair (nominal path, backup path) which are constructed in such a way that at least one of them is operational in any given failure situation for a flow. We present an approximate linear programming formulation of the Problem and show how path generation technique (based on column generation) can be used to solve it. The path generation approach is an iterative method that allows us to add new path pairs based on dual Lagrangean multipliers in every iteration. We consider four different scenarios that differ in the way we compute and add new path pairs at every iteration. We present the results of our approach for an example network. From our observations, we conclude that path generation approach is an effective method to solve the backup path Restoration Design Problem.
Michal Pioro - One of the best experts on this subject based on the ideXlab platform.
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Backup path Restoration Design using path generation technique
Fourth International Workshop on Design of Reliable Communication Networks 2003. (DRCN 2003). Proceedings., 1Co-Authors: Balaji Krithikaivasan, Shekhar Srivastava, Michal Pioro, Deep MedhiAbstract:In this work, we study a flow Restoration based network Design Problem where we assume the knowledge of possible failure situations. We use the idea of a situation disjoint path pair (nominal path, backup path) which are constructed in such a way that at least one of them is operational in any given failure situation for a flow. We present an approximate linear programming formulation of the Problem and show how path generation technique (based on column generation) can be used to solve it. The path generation approach is an iterative method that allows us to add new path pairs based on dual Lagrangean multipliers in every iteration. We consider four different scenarios that differ in the way we compute and add new path pairs at every iteration. We present the results of our approach for an example network. From our observations, we conclude that path generation approach is an effective method to solve the backup path Restoration Design Problem.
Mine Hamamcıoğlu Turan - One of the best experts on this subject based on the ideXlab platform.
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Effect of Change on the Values of Two Historic Mosques in Manisa, Turkey
Periodica Polytechnica Architecture, 2020Co-Authors: Suna Büyükkılıç Koşun, Mine Hamamcıoğlu TuranAbstract:This study focuses on the value-change relationship in two historic mosques and presents a management framework that considers their common conservation Problems. The case studies are the Haki Baba Mosque in Manisa centre and Kabasakal Mosque in Kirkagac, Manisa; both have been recently restored. The literature review covers value and intervention concepts with literature and archive research specific to the case studies; this includes a comparative study with similar buildings together with site observations. Urban development, neighbourhood development maps, and comparative study tables were prepared. The effects of changes stemming from disasters, interventions, planning decisions and Restoration projects were evaluated concerning the accumulated values. Conservation Problems include overdevelopment and transformation of original rural sites to urban sites; alteration of earthen roofs to hipped roofs; unplanned spatial conversion and addition of architectural elements. Restoration Designs giving no reference to the authentic state of the elements and spaces also mislead the observer in terms of authenticity and are insufficient in terms of the organisation of the daily life objects. Some universal principles to guide future interventions have been developed: heritage values should be taken as an input in the preparation of development plans; illegal interventions must be avoided; Restoration Designs should be based on thorough investigation and fully present authentic qualities, and the organisation of daily life objects ought to be part of the Restoration Design Problem. Conservation councils and religious foundations should also be meticulous in evaluating the consistency of intervention decisions and quality of applications.