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Sinopsis
Computation with DNA is getting popular day by day in the computational world. Its impact on the researcher increases due to fabulous potentials it contains, the storage capacity is massive, parallelism in processing is incredible. Unfortunately in Pakistan as a developing nation, much less attention has been given to this new computational approach. This research helps in highlighting the importance of DNA based computing and also explores new research dimensions. This research is aimed at investigating cost of DNA based computing in contrast to the traditional approach. In this research different attributes of both techniques are compared and analyzed. Comparison of process, storage, cost and power consumption are made and results are given. A model is designed for comparison of the mentioned attributes in both techniques. It is discussed that DNA based computation is suitable for parallel processing in contrast of traditional computing. It has awesome capability of storing data for long lasting and huge capacity. Energy consumption and production cost is almost negligible. DNA based computing is remarkable for solving such combinatorial problems.
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Reseña del editor
Computation with DNA is getting popular day by day in the computational world. Its impact on the researcher increases due to fabulous potentials it contains, the storage capacity is massive, parallelism in processing is incredible. Unfortunately in Pakistan as a developing nation, much less attention has been given to this new computational approach. This research helps in highlighting the importance of DNA based computing and also explores new research dimensions. This research is aimed at investigating cost of DNA based computing in contrast to the traditional approach. In this research different attributes of both techniques are compared and analyzed. Comparison of process, storage, cost and power consumption are made and results are given. A model is designed for comparison of the mentioned attributes in both techniques. It is discussed that DNA based computation is suitable for parallel processing in contrast of traditional computing. It has awesome capability of storing data for long lasting and huge capacity. Energy consumption and production cost is almost negligible. DNA based computing is remarkable for solving such combinatorial problems.
Biografía del autor
Prof. Dr. Malik Sikander Hayat Khiyal is currently a Professor of Faculty of Computer Science, Preston University, Islamabad. He remained Chairman Department of Computer Sciences and Software Engineering in Fatima Jinnah Women University Pakistan and in IIU Islamabad. Also Served 25 years in PAEC. He is a member of SIAM, ACM, ISI and IACSIT.
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- EditorialLAP LAMBERT Academic Publishing
- Año de publicación2017
- ISBN 10 3330041099
- ISBN 13 9783330041097
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas88
- Contacto del fabricanteno disponible
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Study of Processing, Storage & Cost of DNA Computing with Silicon Computation
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LAP LAMBERT Academic Publishing Feb 2017, 2017
ISBN 10: 3330041099
ISBN 13: 9783330041097
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Computation with DNA is getting popular day by day in the computational world. Its impact on the researcher increases due to fabulous potentials it contains, the storage capacity is massive, parallelism in processing is incredible. Unfortunately in Pakistan as a developing nation, much less attention has been given to this new computational approach. This research helps in highlighting the importance of DNA based computing and also explores new research dimensions. This research is aimed at investigating cost of DNA based computing in contrast to the traditional approach. In this research different attributes of both techniques are compared and analyzed. Comparison of process, storage, cost and power consumption are made and results are given. A model is designed for comparison of the mentioned attributes in both techniques. It is discussed that DNA based computation is suitable for parallel processing in contrast of traditional computing. It has awesome capability of storing data for long lasting and huge capacity. Energy consumption and production cost is almost negligible. DNA based computing is remarkable for solving such combinatorial problems. 88 pp. Englisch. Nº de ref. del artículo: 9783330041097
Cantidad disponible: 2 disponibles
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Study of Processing, Storage & Cost of DNA Computing with Silicon Computation
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330041099
ISBN 13: 9783330041097
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computation with DNA is getting popular day by day in the computational world. Its impact on the researcher increases due to fabulous potentials it contains, the storage capacity is massive, parallelism in processing is incredible. Unfortunately in Pakistan as a developing nation, much less attention has been given to this new computational approach. This research helps in highlighting the importance of DNA based computing and also explores new research dimensions. This research is aimed at investigating cost of DNA based computing in contrast to the traditional approach. In this research different attributes of both techniques are compared and analyzed. Comparison of process, storage, cost and power consumption are made and results are given. A model is designed for comparison of the mentioned attributes in both techniques. It is discussed that DNA based computation is suitable for parallel processing in contrast of traditional computing. It has awesome capability of storing data for long lasting and huge capacity. Energy consumption and production cost is almost negligible. DNA based computing is remarkable for solving such combinatorial problems. Nº de ref. del artículo: 9783330041097
Cantidad disponible: 1 disponibles
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Study of Processing, Storage & Cost of DNA Computing with Silicon Computation
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330041099
ISBN 13: 9783330041097
Nuevo
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Librería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khiyal Malik Sikander HayatProf. Dr. Malik Sikander Hayat Khiyal is currently a Professor of Faculty of Computer Science, Preston University, Islamabad. He remained Chairman Department of Computer Sciences and Software Engineering in. Nº de ref. del artículo: 158421996
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Study of Processing, Storage & Cost of DNA Computing with Silicon Computation
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330041099
ISBN 13: 9783330041097
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Librería: Revaluation Books, Exeter, Reino Unido
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Paperback. Condición: Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock. Nº de ref. del artículo: 3330041099
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Study of Processing, Storage & Cost of DNA Computing with Silicon Computation
Publicado por
LAP LAMBERT Academic Publishing Feb 2017, 2017
ISBN 10: 3330041099
ISBN 13: 9783330041097
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -Computation with DNA is getting popular day by day in the computational world. Its impact on the researcher increases due to fabulous potentials it contains, the storage capacity is massive, parallelism in processing is incredible. Unfortunately in Pakistan as a developing nation, much less attention has been given to this new computational approach. This research helps in highlighting the importance of DNA based computing and also explores new research dimensions. This research is aimed at investigating cost of DNA based computing in contrast to the traditional approach. In this research different attributes of both techniques are compared and analyzed. Comparison of process, storage, cost and power consumption are made and results are given. A model is designed for comparison of the mentioned attributes in both techniques. It is discussed that DNA based computation is suitable for parallel processing in contrast of traditional computing. It has awesome capability of storing data for long lasting and huge capacity. Energy consumption and production cost is almost negligible. DNA based computing is remarkable for solving such combinatorial problems.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch. Nº de ref. del artículo: 9783330041097
Cantidad disponible: 2 disponibles