Showing posts with label ejournal. Show all posts
Showing posts with label ejournal. Show all posts

Friday, 5 September 2014

#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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Thursday, 21 August 2014

#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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