#IJSRD When Big Data Is Watching You

When Big Data Is Watching You

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Originally posted on TechCrunch:

Is the answer to our feeble human minds needing to grapple with increasing quantities of big data to stand in a purpose built room immersed in complex data visualisations while wearing an array of sensors that track our physiological reactions? A group of European Commission-backed scientists believe so.
They’re attempting to quantify — and, they claim, enhance — cognition by building a sensor-based data visualisation system that dynamically changes the complexity level of the data on display in response to human triggers, such as gestures, eye movements and heart rate.
The basic concept underpinning this research, which has attracted €6.5 million in European Union funding under the Future and Emerging Technologies Scheme, is that a data display system can be more effective if it is sensitive to the human interacting with it, enabling it to modify what’s on display based on tracking and reacting to human stress signifiers.
The project is called CEEDS — aka Collective Experience of Empathetic Data Systems — and involves a...

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IJSRD.com VOL 2 | Issue 7

Welcome to IJSRD.com

Volume 2|Issue 7|Sept. 2014

IJSRD is a leading e-journal, under which we are encouraging and exploring newer ideas of current trends in Engineering and Science by publishing papers containing pure knowledge. The Journal is started with noble effort to help the researchers in their work and also to share knowledge and research ideas. All research interested scholars are given best opportunity to make world aware of their work. With precise and analytical narration of knowledge by our reviewers, our journal is providing implemental economy and latest global transposition to research. This monthly journal is mainly started to help researching peers belongs to Undergraduate, Postgraduate and Research students.We publish original and high quality papers. We aim to cover the latest outstanding development in the fields of Engineering and Technologies. All the published papers are submitted to the major indexing services for indexing.

Why IJSRD

• IJSRD is an Open-Access peer reviewed International Journal
• Exhaustive list of executive board members who were invited from all the Colleges , Universities and research organization
• Research scholar can download any article from the website for free of cost
• Research scholar can submit the manuscript online
• Research scholar can check the status of paper online.
• Simple steps for publication of research articles and review articles
• Authors can refer the statistics for each article downloaded.
• IJSRD is Open access journal for high indexing and promotion of your published papers
• IJSRD promotes "Go Green" by providing e-publication of research paper
• Share free Knowledge and promote "Research"
• For any query email us on : info@ijsrd.com

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#IJSRD Computational Modeling and Docking for H1N1virsus using Bioinformatics

Computational Modeling and Docking for  H1N1virsus using Bioinformatics

Abstract--- This  research work will be carried out using the retrieval of H1N1virsus  Hemagglutinin protein   sequence of Influenza A virus[AEN79399] in FASTA format, these sequence are retrieve from the NCBI database that have unknown structure. The aim of present study was to carry out the computational modeling study of the mentioned protein sequence using 3DJigsawn protein comparative modeling server, Verify-3D structure evaluation server, CHIMERA. Validation process done by Verify3D analyzes, the compatibility of an atomic model (3D) with its own amino acid sequence (1D).Collect all the results for possible Ligand/drug candidate finding in-silico. The last step is Docking study for H1N1 protein with Tamiflu (possible Ligand) that help for finding a correct medicine.

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#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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