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Neural Fuzzy Inference System Modelling with Different Input Vectors for Rainfall-Runoff Prediction

A convenient and acceptable technique to develop mathematical models is through conceptual formulation and statistical development while integrating the effects of various variables on these physical processes.  Overemphasizing on these techniques could result in an increase in complexity of model which in turn influence the performance of the model. In this study, one conjunction model combining wavelet-neuro-fuzzy for runoff forecast is proposed and compared with simple neuro-fuzzy inference system. The inflow series to the conjunction model has been decomposed by wavelet transform. The performance of the conjunction model under the changed inflow parameters has been compared with the simple model. The results show that both the model performed well, however, increase in complexity of a model does not necessarily increase the performance of the model.  

Published by: Ashish Sachan, Dr. Devendra Kumar

Author: Ashish Sachan

Paper ID: V4I1-1305

Paper Status: published

Published: February 2, 2018

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Research Paper

Growth and Instability in Area, Production and Productivity of Cassava (Manihot Esculenta) in Kerala

Cassava is a major tuber crop cultivated in Kerala, as a sole crop or as a mixed crop, mainly cultivating in homesteads and primarily used for household consumption. The share of cassava area in Kerala to all India area declined from 85.57 to 45.5 percent in 2001-02.  With the introduction of short duration varieties, there was an increase in productivity. Trend and Instability analysis in the area, production and productivity of cassava for a period of 25 years were carried out. The estimated trends in the area, production, and productivity of cassava, using semi-log function revealed that there was a significant decline in an area with a compound annual growth rate of 1.37 %, the non-significant decline in production by -0.02 % and a significant increase in productivity by 1.3 %. Cuddy-Della Valle index provides the best estimates and instability was found to be more in productivity (4.04 %).

Published by: Neethu S Kumar, Brigit Joseph, Muhammed Jaslam P K

Author: Neethu S Kumar

Paper ID: V4I1-1299

Paper Status: published

Published: February 2, 2018

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Review Paper

Stock Prediction using Support Vector Regression and Neural Networks

The purpose of this project is to compare two very widely used methods for stock prediction and see which one is a more accurate method. With the advent of machine learning, soft computing techniques are being used more frequently for various purposes, especially where mathematical models can be used and juxtaposed onto real-life situations. Here in this report, we have compared the prediction of the stock market using Artificial Neural Networks versus a prediction of stock market using support vector regression. Testing has been done only in one language, python and hence it cannot exactly be determined if other languages or software such as R or Matlab may give better results. The system is built completely on numbers and does not depend on popular emotions or gut feeling.    

Published by: Lekhani Ray

Author: Lekhani Ray

Paper ID: V4I1-1296

Paper Status: published

Published: February 2, 2018

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Research Paper

Consumer Perception and Usage Experience of Toilet Soaps with Special Reference to ‘Indulekha’ Brand: A Study in Tirurangadi Municipality of Malappuram District of Kerala

Toilet soap industry has been facing severe cut-throat competition among the Multi-National Companies, national and local and international as well as global players. The level of penetration in toilet soaps spread in urban and semi-urban areas are very high. Consumer satisfaction happens when the perceived performance and the expectations match equally. If the perceived performance crosses the expectations results in customer delighting and better satisfaction. Customer satisfaction results in quality related issues. Many studies in this area show that the costs and efforts of acquiring a new customer are more than retaining the existing ones.

Published by: Mustafa .K, Dr. Yakoob .C

Author: Mustafa .K

Paper ID: V4I1-1292

Paper Status: published

Published: February 2, 2018

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Research Paper

Feed Forward Neural Network Based Light Intensity Control of Networked LED Light Systems

The use of a neural network technique to establish the relationship among dimming levels of luminaires and illuminance at the user tables. The neural network then will be included in sensor feed forward illumination control for the smart networked LED-lighting system9. The accuracy of the model depending on the configuration of the neural network and characteristics of the LED-lighting system will be examined. The daylight effect is beyond the scope of this research and will be investigated in future work.  

Published by: K. Nishakar, P. B Natarajan

Author: K. Nishakar

Paper ID: V4I1-1271

Paper Status: published

Published: February 2, 2018

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Research Paper

Vit B12 Deficiency Induced Hyper Homocysteinemia Causing Stroke in Young Adult

Stroke in young adults is less common than stroke elderly people. Stroke in young adults needs an extensive work up both for common as well as uncommon causes. Stroke due to vitamin B12 deficiency causing hyper homocysteinemia is a rare cause. It is important to identify vitamin b12 deficiency  as the cause since it is treatable and preventable cause of stroke. Hence, early recognition and treatment of vitamin b12 deficiency can improve the treatment results at a low cost and prevent wasting of health care dollars on expensive to treat diagnosis.

Published by: Dr. Prajit Mazumdar, Dr. Malyaban Das, Dr. Vaibhav Mathur

Author: Dr. Prajit Mazumdar

Paper ID: V4I1-1263

Paper Status: published

Published: February 2, 2018

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