Existing image based indexing, storage and retrieval techniques for human brain data are difficult to understand and work with, the limitations inherited by them such as inefficiency, cost, difficulty to use, incomplete and irrelevant data retrieval present many challenges to modern research community. With advancements of technology, it demands on the development of alternative ways to present the best form of brain data, and to efficiently access and use it. In order to reconcile these requirements, we worked on the Formal Conceptual Model of Human Brain. We defined its architecture and concomitant storage, retrieval and manipulation techniques. We applied the most efficient available secondary indexing structure, B+ tree, to increase the performance of search and retrieval. We also extend the regular Structured Query Language (SQL) and define some operators specific to the proposed Model. In our opinion, the proposed techniques give new and effective ways to deal with human brain data. Also, the implementation of these techniques aimed to provide better support for scientists and researchers in carrying out their tasks in an efficient and easy manner.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Existing image based indexing, storage and retrieval techniques for human brain data are difficult to understand and work with, the limitations inherited by them such as inefficiency, cost, difficulty to use, incomplete and irrelevant data retrieval present many challenges to modern research community. With advancements of technology, it demands on the development of alternative ways to present the best form of brain data, and to efficiently access and use it. In order to reconcile these requirements, we worked on the Formal Conceptual Model of Human Brain. We defined its architecture and concomitant storage, retrieval and manipulation techniques. We applied the most efficient available secondary indexing structure, B+ tree, to increase the performance of search and retrieval. We also extend the regular Structured Query Language (SQL) and define some operators specific to the proposed Model. In our opinion, the proposed techniques give new and effective ways to deal with human brain data. Also, the implementation of these techniques aimed to provide better support for scientists and researchers in carrying out their tasks in an efficient and easy manner. 64 pp. Englisch. N° de réf. du vendeur 9783847309451
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bashir SatwatPh.D candidate of Computer Science at University of Engineering & Technology, Lahore. Currently working as a Research Associate in field of BrainInformatics at Dept. of CS & E, UET, Lhr.Existing image based indexing,. N° de réf. du vendeur 5509119
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Existing image based indexing, storage and retrieval techniques for human brain data are difficult to understand and work with, the limitations inherited by them such as inefficiency, cost, difficulty to use, incomplete and irrelevant data retrieval present many challenges to modern research community. With advancements of technology, it demands on the development of alternative ways to present the best form of brain data, and to efficiently access and use it. In order to reconcile these requirements, we worked on the Formal Conceptual Model of Human Brain. We defined its architecture and concomitant storage, retrieval and manipulation techniques. We applied the most efficient available secondary indexing structure, B+ tree, to increase the performance of search and retrieval. We also extend the regular Structured Query Language (SQL) and define some operators specific to the proposed Model. In our opinion, the proposed techniques give new and effective ways to deal with human brain data. Also, the implementation of these techniques aimed to provide better support for scientists and researchers in carrying out their tasks in an efficient and easy manner.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. N° de réf. du vendeur 9783847309451
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Existing image based indexing, storage and retrieval techniques for human brain data are difficult to understand and work with, the limitations inherited by them such as inefficiency, cost, difficulty to use, incomplete and irrelevant data retrieval present many challenges to modern research community. With advancements of technology, it demands on the development of alternative ways to present the best form of brain data, and to efficiently access and use it. In order to reconcile these requirements, we worked on the Formal Conceptual Model of Human Brain. We defined its architecture and concomitant storage, retrieval and manipulation techniques. We applied the most efficient available secondary indexing structure, B+ tree, to increase the performance of search and retrieval. We also extend the regular Structured Query Language (SQL) and define some operators specific to the proposed Model. In our opinion, the proposed techniques give new and effective ways to deal with human brain data. Also, the implementation of these techniques aimed to provide better support for scientists and researchers in carrying out their tasks in an efficient and easy manner. N° de réf. du vendeur 9783847309451
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Taschenbuch. Etat : Neu. Storage, Retrieval and Manipulation Techniques of Human Brain Data | Improving the ways to analyze, investigate and understand the Human Brain working from both macro and micro level | Satwat Bashir (u. a.) | Taschenbuch | 64 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783847309451 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 106693478
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