September 2012 Issue Vol.2 No.9

Predictive Data Mining in KPP

Anupam Bhatia #1, Dr. R.K. Chauhan *2
# Assistant Professor, Kurukshetra University Post Graduate Regional Centre, Jind (India)
* Professor, Department of Computer Science and Applications, Kurukshetra University, Kurukshetra (India)

Abstract: In this paper, we have provided the Genetic Algorithm (GA) used for prediction process in Knowledge Penetration Process (KPP). The said GA is implemented and its efficiency is analysed.

Keywords: Knowledge Penetration Process, Predictive Data Mining, Prediction, Genetic Algorithm


Omokere E. S1 and Nwokoye A. O. C2
Department of Physics and Industrial Physics Nnamdi Azikiwe University, Awka, Anambra State, Nigeria.

Abstract: This work presents the development of a low cost but effective inverter using simple components. DC to AC inversion is successfully achieved without the use of complex circuitry for the design which is essentially focused upon low power electrical appliances such as personal computers, disc players and television sets. It has a feedback loop which regulates its output voltage irrespective of connected loads. The control circuit consists of a dedicated pulse width modulation (PWM) IC for triggering the MOSFETs arranged in a bridge configuration. The inverter output is regulated from 220Volts to 240Volts at 50Hz for a variation of tested load rated between 40W to 365W.

Keywords: Inverter, Pulse Width Modulation (PWM), Metal Oxide Semiconductor Field Effect Transistor (MOSFET), Control Feedback, Bridge Circuit.

A Novel Approach to Find an Optimal Path in MANET Using Reactive Routing Protocol

Bhabani Sankar Gouda1, Chandan Kumar Behera2
Department of Computer Science & engineering, National Institute of Science and Technology, Berhampur, Odisha, India

Abstract: If there is no communication between the nodes in MANET, reactive protocols don’t preserve routing information in the network node level. Reactive protocol determines a route to a specific destination when a particular packet intends to send. We propose a reverse reactive routing based Route discovery approach, which is used to find an optimal route to the destination with lower overhead, than the flooding based reverse route discovery. We also showed that the process of the reverse reactive protocol performance for finding an optimal path to the destination. The discussion is based on the optimal path, which is obtained through three steps; those are reverse route calculation in route request (RREQ), reverse route calculation in route reply (RREP) and reverse route calculation in route error (RERR). Experiments have been carried out using NS2 as network simulator and results show that performs better than reactive routing protocol (AODV).

Keywords: Mobile Ad-Hoc Networks, Reactive Routing Protocol, Route Discovery, Ns2, RAODV

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