Pradheep manisekaran (13 risultati)

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  • Libri (13)

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  • Lingua: Inglese

    Editore: Grin Verlag, 2015

    3656890420 / 9783656890423

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    Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices

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    EUR 33,95

    EUR 2,28 spedizione 
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    Condizione: New.

  • Lingua: Inglese

    Editore: Grin Verlag 2/24/2015, 2015

    3656890420 / 9783656890423

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    Da: BargainBookStores, Grand Rapids, MI, U.S.A.BargainBookStores

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    Condizione: Nuovo

    EUR 36,30

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    Quantità: 5 disponibili

    Paperback or Softback. Condizione: New. A Novel Approach To Enhance The Performance Of Cloud Computing File System Using Load Balancing Algorithm: A Model To Enhance The Performance Of Cloud. Book.

  • Condizione: Nuovo

    EUR 36,41

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    Condizione: New.

  • Lingua: Inglese

    Editore: Grin Verlag, 2015

    3656890420 / 9783656890423

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    Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices

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    Condizione: Usato - Come nuovo

    EUR 35,92

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    Condizione: As New. Unread book in perfect condition.

  • Lingua: Inglese

    Editore: Grin Verlag, 2015

    3656890420 / 9783656890423

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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    Condizione: Usato - Come nuovo

    EUR 40,65

    EUR 17,49 spedizione 
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    Quantità: Più di 20 disponibili

    Condizione: As New. Unread book in perfect condition.

  • Lingua: Inglese

    Editore: Grin Verlag, 2015

    3656890420 / 9783656890423

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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    Condizione: Nuovo

    EUR 41,01

    EUR 17,49 spedizione 
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    Quantità: Più di 20 disponibili

    Condizione: New.

  • Condizione: Nuovo

    EUR 27,95

    EUR 60,48 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibili

    Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Doctoral Thesis / Dissertation from the year 2014 in the subject Computer Science - IT-Security, Lovely Professional University, Punjab (Lovely Professional University, Phagwara, Punjab), course: M.Tech Information Technology, language: English, abstract: Cloud computing is one of the biggest thing in computing in recent time. Cloud computing uses the internet and the central remote servers to support different data and applications. Cloud computing is that emerging technology which is used for providing various computing and storage services over the Internet. In the cloud computing, the internet is viewed as a cloud. Internet users can receive services from a cloud as if they were employing a super computer which be using cloud computing. To storing data in the cloud instead of on their own devices and it making ubiquitous data access possible. Load balancing helps to make resource utilization effective and also used to improve the response time of the job. The load balancing helps to remove the nodes which are unbalanced. In this situation, it removes the nodes, which are overloaded or under loaded. It is dynamic in nature. In the cloud computing, file system management is the big issue. We use round robin algorithm with load balancing in the file systems. It will help to enhance the performance of file system. It also helps to increase the access of file systems in cloud computing.

  • Lingua: Inglese

    Editore: GRIN Verlag Aug 2021, 2021

    3346433390 / 9783346433398

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Condizione: Nuovo

    EUR 47,95

    EUR 61,04 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibili

    Taschenbuch. Condizione: Neu. Neuware - Doctoral Thesis / Dissertation from the year 2021 in the subject Engineering - Computer Engineering, , language: English, abstract: In the present-day era of typical social media communications, it is vital that privacy is to be preserved due to attacks on multimedia data through various methods. It is well known that the encryption standards either lack in keyspace or poor encryption strength. Hence, it is proposed to use a novel method in which both keyspace and encryption are increased.Discrete cosine transforms (DCT) of the image are encrypted using a generalized logistic equation. Due to this idea, both compression and encryption are done simultaneously. Before applying DCT, the image is shuffled using Arnold Cat Map. The proposed compression and encryption method is validated using several chaotic metrics such as; Bifurcation diagram, Mutual information, Kolmogorov Sinai Entropy density, Kolmogorov Sinai Entropy generality, Space-Amplitude diagram, Space-Time diagram. Intruders are discouraged through the improved metrics such as NPCR (Number of Pixels changing rate), UACI (Unified Averaged changed intensity), and mutual information among the lattices used as the key. In the same way, image reconstruction quality is improved and verified through the metrics such as PSNR (Peak Signal to noise ratio) and FOM (Figure of Merit). Compression performance is evaluated through the metric CR (Compression ratio). The performance is evaluated for both gray and color image databases under a noisy channel environment.

  • Lingua: Inglese

    Editore: GRIN Verlag Feb 2015, 2015

    3656890420 / 9783656890423

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    • Print on Demand

    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Condizione: Nuovo

    EUR 27,95

    EUR 23,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Doctoral Thesis / Dissertation from the year 2014 in the subject Computer Science - IT-Security, Lovely Professional University, Punjab (Lovely Professional University, Phagwara, Punjab), course: M.Tech Information Technology, language: English, abstract: Cloud computing is one of the biggest thing in computing in recent time. Cloud computing uses the internet and the central remote servers to support different data and applications. Cloud computing is that emerging technology which is used for providing various computing and storage services over the Internet. In the cloud computing, the internet is viewed as a cloud. Internet users can receive services from a cloud as if they were employing a super computer which be using cloud computing. To storing data in the cloud instead of on their own devices and it making ubiquitous data access possible. Load balancing helps to make resource utilization effective and also used to improve the response time of the job. The load balancing helps to remove the nodes which are unbalanced. In this situation, it removes the nodes, which are overloaded or under loaded. It is dynamic in nature. In the cloud computing, file system management is the big issue. We use round robin algorithm with load balancing in the file systems. It will help to enhance the performance of file system. It also helps to increase the access of file systems in cloud computing. 56 pp. Englisch.

  • Lingua: Inglese

    Editore: GRIN Verlag Aug 2021, 2021

    3346433390 / 9783346433398

    • Brossura
    • Print on Demand

    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Condizione: Nuovo

    EUR 47,95

    EUR 23,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Doctoral Thesis / Dissertation from the year 2021 in the subject Engineering - Computer Engineering, , language: English, abstract: In the present-day era of typical social media communications, it is vital that privacy is to be preserved due to attacks on multimedia data through various methods. It is well known that the encryption standards either lack in keyspace or poor encryption strength. Hence, it is proposed to use a novel method in which both keyspace and encryption are increased.Discrete cosine transforms (DCT) of the image are encrypted using a generalized logistic equation. Due to this idea, both compression and encryption are done simultaneously. Before applying DCT, the image is shuffled using Arnold Cat Map. The proposed compression and encryption method is validated using several chaotic metrics such as; Bifurcation diagram, Mutual information, Kolmogorov Sinai Entropy density, Kolmogorov Sinai Entropy generality, Space-Amplitude diagram, Space-Time diagram. Intruders are discouraged through the improved metrics such as NPCR (Number of Pixels changing rate), UACI (Unified Averaged changed intensity), and mutual information among the lattices used as the key. In the same way, image reconstruction quality is improved and verified through the metrics such as PSNR (Peak Signal to noise ratio) and FOM (Figure of Merit). Compression performance is evaluated through the metric CR (Compression ratio). The performance is evaluated for both gray and color image databases under a noisy channel environment. 136 pp. Englisch.

  • Condizione: Nuovo

    EUR 27,95

    EUR 70,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 5 disponibili

    Taschenbuch. Condizione: Neu. A Novel Approach To Enhance The Performance Of Cloud Computing File System Using Load Balancing Algorithm | A Model To Enhance The Performance Of Cloud Computing File System Using Round Robin Algorithm | Pradheep Manisekaran | Taschenbuch | 56 S. | Englisch | 2015 | GRIN Verlag | EAN 9783656890423 | Verantwortliche Person für die EU: GRIN Publishing GmbH, Waltherstr. 23, 80337 München, info[at]grin[dot]com | Anbieter: preigu Print on Demand.

  • Lingua: Inglese

    Editore: GRIN Verlag Aug 2021, 2021

    3346433390 / 9783346433398

    • Brossura
    • Print on Demand

    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

    Venditore con 5 stelle
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    Condizione: Nuovo

    EUR 47,95

    EUR 60,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibili

    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Doctoral Thesis / Dissertation from the year 2021 in the subject Engineering - Computer Engineering, , language: English, abstract: In the present-day era of typical social media communications, it is vital that privacy is to be preserved due to attacks on multimedia data through various methods. It is well known that the encryption standards either lack in keyspace or poor encryption strength. Hence, it is proposed to use a novel method in which both keyspace and encryption are increased.Discrete cosine transforms (DCT) of the image are encrypted using a generalized logistic equation. Due to this idea, both compression and encryption are done simultaneously. Before applying DCT, the image is shuffled using Arnold Cat Map. The proposed compression and encryption method is validated using several chaotic metrics such as; Bifurcation diagram, Mutual information, Kolmogorov Sinai Entropy density, Kolmogorov Sinai Entropy generality, Space-Amplitude diagram, Space-Time diagram. Intruders are discouraged through the improved metrics such as NPCR (Number of Pixels changing rate), UACI (Unified Averaged changed intensity), and mutual information among the lattices used as the key. In the same way, image reconstruction quality is improved and verified through the metrics such as PSNR (Peak Signal to noise ratio) and FOM (Figure of Merit). Compression performance is evaluated through the metric CR (Compression ratio). The performance is evaluated for both gray and color image databases under a noisy channel environment.GRIN Publishing GmbH, Waltherstraße 23, 80337 München 136 pp. Englisch.

  • Lingua: Inglese

    Editore: GRIN Verlag, 2021

    3346433390 / 9783346433398

    • Brossura
    • Print on Demand

    Da: preigu, Osnabrück, Germaniapreigu

    Venditore con 5 stelle
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    Condizione: Nuovo

    EUR 47,95

    EUR 70,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 5 disponibili

    Taschenbuch. Condizione: Neu. Image Encryption by Using ACGLML | Pradheep Manisekaran | Taschenbuch | Englisch | 2021 | GRIN Verlag | EAN 9783346433398 | Verantwortliche Person für die EU: GRIN Publishing GmbH, Waltherstr. 23, 80337 München, info[at]grin[dot]com | Anbieter: preigu Print on Demand.