Artificial Intelligence Bigdata MOBLET - A Review

Authors

  • M. Amirtha Krishnan  Information Technology, Anna University, SKP Engineering College, Tiruvannamalai, Tamil Nadu, India
  • C. Gowri Shankar  Information Technology, Anna University, SKP Engineering College, Tiruvannamalai, Tamil Nadu, India
  • R. Venkatesh  Information Technology, Anna University, SKP Engineering College, Tiruvannamalai, Tamil Nadu, India

Keywords:

AI; brain science Algorithm; intelligent quotient; Big Data; Cloud Computing, System model, Jyotis, Design, HDFS, Map Reduce, Modes.

Abstract

Artificial Intelligence is the field studies the synthesis & analysis of computational agents that act intelligently. This paper is described about the creation of Artificial Intelligence Moblet using novelty OS (Jyotis) by controlling the system through voice and the nature of intelligence. A measurement framework of intelligent capability of humans and systems is comparatively studied in the forms of intelligent quotient, intelligent equivalence, and intelligent metrics. As we give voice command to the system, by using Brute Force and Greedy Algorithm getting responses faster than human. On the basis of those algorithms, implementing voice reorganization into the system. Accessing the stored data from the system and retrieving from the data through voice command and also from our own server, but not retrieve using search engines such as Google, Yahoo, Bing and so on. By using Cloud computing (on-demand computing) we can import and export data to Hadoop using Sqoop, is a kind of Internet-based computing that provides shared processing resources and data to computers and other devices on-demand. Access to a shared pool of configurable computing resources connects through a cloud server by using SSH and the host name. This moblet has as separate OS name Jyotis (linux platform) it can also capable of running. apk files and .exe file(through wine).I have included the .apk package to my OS. Which is user friendly in nature?

References

  1. Albus, J. (1991). Outline for a Theory of Intelligence, IEEE Transactions on Systems, Man and Cybernetics 21(3), 473–509.
  2. Bender, E.A. (1996), Mathematical Methods in Artificial Intelligence, IEEE CS Press, Los Alamitos, CA.
  3. Raj Reddy, An Overview of the SPHINX Speech Recognition System. IEEE Transactions on Acoustics, Speech and Signal Processing

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Published

2016-03-05

Issue

Section

Research Articles

How to Cite

[1]
M. Amirtha Krishnan, C. Gowri Shankar, R. Venkatesh, " Artificial Intelligence Bigdata MOBLET - A Review, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 1, pp.527-531, January-February-2016.