International Conference on Advances & Challenges in Interdisciplinary Engineering and Management
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International Conference on Advances & Challenges in Interdisciplinary Engineering and Management 2017 [ICACIEM 2017]
ISBN Website Received Article ID
978-81-933235-1-9 icaciem.org 10 – January – 2017 ICACIEM137
VOL eMail Accepted eAID
01 icaciem@asdf.res.in 28 - January – 2017 ICACIEM.2017.137
Socio-Political Concern in Mulk Raj Anand’s Coolie 1
T Saranya1 Assistant Professor, Department of English, Vidyaa Vikas College of Engineering and Technology, Tiruchengode, India
Abstract: India is belonging to the common wealth country. India has to face many major problems and domination. That is socio-political. Because the activities of society is upper class people treated lower class people brutal way. People one can fight with any problem in his or her life such as business loss, disease, unexpected problems etc. But he or she cannot go in harmony with a problem in this world. That is poverty which paves ways to many other problems to the individual and also for the society.
ISBN Website Received Article ID
978-81-933235-1-9 icaciem.org 10 – January – 2017 ICACIEM138
VOL eMail Accepted eAID
01 icaciem@asdf.res.in 28 - January – 2017 ICACIEM.2017.138
Outsourced Parallel Search on Metric Information Resources 1
E Anithaa1, K Meiyalakan2, N Manjula3 I-M.E-CSE, Associate Professor, 3Assistant professor, Department of CSE, Vidyaa Vikas College of Engineering and Technology, Tiruchengode, India 2
Abstract: This paper considers a cloud computing setting in which similarity querying of metric data is outsourced to a service provider. The data is to be revealed only to trusted users, not to the service provider or anyone else. Users query the server for the most similar data objects to a query example. Outsourcing offers the data owner scalability and a low-initial investment. The need for privacy may be due to the data being sensitive (e.g., in medicine), valuable (e.g., in astronomy), or otherwise confidential. Given this setting, the paper presents techniques that transform the data prior to supplying it to the service provider for similarity queries on the transformed data. Our techniques provide interesting trade-offs between query cost and accuracy. They are then further extended to offer an intuitive privacy guarantee. Empirical studies with real data demonstrate that the techniques are capable of offering privacy while enabling efficient and accurate processing of similarity queries.
This paper is prepared exclusively for International Conference on Advances & Challenges in Interdisciplinary Engineering and Management 2017 [ICACIEM 2017] which is published by ASDF International, Registered in London, United Kingdom under the directions of the Editor-in-Chief Dr K Samidurai and Editors Dr. Daniel James, Dr. Kokula Krishna Hari Kunasekaran and Dr. Saikishore Elangovan. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage, and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honoured. For all other uses, contact the owner/author(s). Copyright Holder can be reached at copy@asdf.international for distribution.
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