Refine your search
Collections
Co-Authors
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Elangovan, K.
- Comparative Prediction of Groundwater Fluctuation by CWTFT-ANFIS and WT-ANFIS
Abstract Views :174 |
PDF Views:0
Authors
N. Vetrivel
1,
K. Elangovan
1
Affiliations
1 Department of Civil Engineering, PSG College of Technology, Coimbatore - 641004, Tamil Nadu, IN
1 Department of Civil Engineering, PSG College of Technology, Coimbatore - 641004, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 44 (2016), Pagination:Abstract
Objective: To evaluate the ability of prediction performance of ANFIS (Adaptive Neuro Fuzzy Inference System) model on groundwater level fluctuation in Lower Bhavani River Basin (LBRB). Method: To improve the accuracy of prediction of ANFIS model, WT (Wavelet Transform) and CWTFT (Continuous Wavelet Fast Fourier Transform) are performed as preprocessing techniques. Model development is carried out through three different input parameters (duration, groundwater recharge and groundwater discharge) and one output parameter (groundwater fluctuation) for the period of 2009-2015 on monthly stress basis. Findings: Based on the comparative prediction by the models CWTFT-ANFIS and WTANFIS over conventional ANFIS model through calibration and validation process on different reaches of the study area, optimum model is identified. Statistical indices are performed to measure the best fitting and trend identification for the each prediction.Keywords
ANFIS, CWTFT, Fluctuation, Groundwater, Lower Bhavani River Basin, Wavelet.Full Text
- Cumulative Cooperative Spectrum Sensing Scheme to Defend Against Selfish Users
Abstract Views :135 |
PDF Views:0
Authors
K. Elangovan
1,
S. Subashini
1
Affiliations
1 VIT University, Chennai - 632014, Tamil Nadu, IN
1 VIT University, Chennai - 632014, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 16 (2016), Pagination:Abstract
Background/Objectives: This paper considers combatting the jamming and selfish attacks in Cognitive Radio (CR) networks operating at the white (unused) and grey (underused) spaces in the RF spectrum. CR facilitates effective utilization of RF spectrum resources but still vulnerable to various network attacks. Methods/Statistical Analysis: This study considered the jamming and selfish type of attack detection and to defend against them because of its severity. An Intrusion Detection System (IDS) is formed to combat the against jamming and selfish type of attacks in CR. Findings: In this system cumulative-sum algorithm is used, which incorpates the control centre information over the channel. The cumulative-sum based algorithm shows improved performance in provisioning better packet delivery ratio, throughput and minimum energy and packet drop. Further, this algorithms works better for more number of Secondary Users (SU), and the Unlicensed Users. Applications/Improvements: This work can be enhanced further by simulating under various network attacks and in the presence of numerous SU.Keywords
Cognitive Radio, Jamming Attacks, Network Security,Selfish Attacks, Secure Spectrum SensingFull Text