Showing posts with label Cloud data protection. Show all posts
Showing posts with label Cloud data protection. Show all posts

Monday, 16 November 2015

A Short Review on Microbial Fuel Cell Technology and A Proposed approach for Generation of Electricity using Waste Water Treatment

IJSRD : International Journal for Scientific Research & Development| | ISSN (online): 2321-0613

Author(s):
Gaurav Verma , Bhaskaracharya College of Applied Sciences, (University of Delhi); Yogesh Singh, Bhaskaracharya College of Applied Sciences, (University of Delhi); Anjali, Bhaskaracharya College of Applied Sciences, (University of Delhi); Nishika Sabharwal, Bhaskaracharya College of Applied Sciences, (University of Delhi); Ajay Agarwal, Bhaskaracharya College of Applied Sciences, (University of Delhi)

Keywords:
MFC, PEM, Chlorella

Abstract:
Microbial Fuel Cell (MFC) technology is an efficient technology which has a practical aspect of conversion of chemical energy in organic compounds directly to electrical energy through degradative activities of microorganisms. MFCs can be used in wastewater treatment plants with simultaneous generation of electricity. A lot of research has already been done and different types of MFCs have been constructed which have varied applications in addition to electricity generation. This article presents a short review on MFCs stating its working, types and applications with broader view on wastewater treatment.

I. INTRODUCTION:

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Wednesday, 23 September 2015

NCIL – 2015 #IJSRD Publication Partner

NCIL - 2015
National Conference on "Student-driven Research for Inspired Learning" in Science and Technology
Organised by ESRC and Dept of Electronics
Publication Partner International Journal for scientific research & Development (IJSRD)
Date: 16-17 October 2015

Wednesday, 23 July 2014

#IJSRD Cloud data Protection

#IJSRD E-JOunral

Protection of the privacy of the cloud Data through Multiple clouds

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The main goal of the “Protection of the privacy of the cloud data through multiple clouds” is to identify and understand the risks associated with the cloud data and propose a distributed architecture to eliminate the risks. In particular, in current cloud architecture a client entrusts a single cloud provider with his data. It gives the provider and outside attackers having unauthorized access to cloud, an opportunity of analyzing client data over a long period to extract sensitive information that causes privacy violation of clients. Hence to overcome this we propose a distributed architecture. The distributed approach to the cloud eliminates the disadvantage of storing all data of a client to the same provider. In this approach the data sent by the client is split into different number of chunks and is distributed among multiple cloud providers. Our system consists of two major components: Cloud data distributor and Cloud providers. The Cloud Data Distributor receives the data in the form of files from many clients, splits each of the files into much number of chunks and distributes these chunks among appropriate cloud providers. Another major component which is Cloud Providers, store these chunks and responds to the chunk requests by providing the chunks.


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