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

ISBN 10: 3847309455 / ISBN 13: 9783847309451
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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. N° de ref. de la librería

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Sinopsis: 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.

Biografía del autor: Ph.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.

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Título: Storage, Retrieval and Manipulation ...
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Bashir, Satwat; Shah, Abad
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Descripción LAP Lambert Academic Publishing, Germany, 2011. Paperback. Estado de conservación: New. Aufl.. 220 x 150 mm. Language: English . Brand New Book ***** Print on Demand *****.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. Nº de ref. de la librería AAV9783847309451

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Descripción LAP Lambert Academic Publishing. Paperback. Estado de conservación: New. Paperback. 64 pages. Dimensions: 8.7in. x 5.9in. x 0.1in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Nº de ref. de la librería 9783847309451

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