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Review Paper

Ion Exchange Resins- An approach for the Development of Advanced Materials with Industrial, Pharmaceutical and Clinical Applications

Ion exchange resins (IER) are cross-linked water insoluble polymers that contain ionizable acidic or basic functional groups and have the ability to exchange counter-ions from surrounding within aqueous solutions. On the basis of nature of the exchangeable ion of the resin as a cation or anion, classified into two main classes, cationic exchange resinand anionic exchange resins, respectively. Due to versatile properties of IER, it has received considerable attention from worldwide pharmaceutical scientists. Research has shown that for the past few years, IER is equally suitable for drug delivery techniques, including controlled release, topical, transdermal, nasal and taste masking. The efficacy IER mainly depends upon their physical properties such as porosity, acid-base strength, degree of cross linking, stability, purity and particle size. Ion-exchange resinates (Drug-Resin complex) of drugs can help in reducing the dose, fluctuations in blood and tissue concentrations, avoiding dose dumping,  and maintenance of drug concentration below toxic level can be achieved. The major drawback of sustained release or extended release is dose dumping, resulting in increased risk of high dose toxicity. The utilization of IER has occupied an important place in the development of controlled or sustained release systems because of their better drug-retaining properties and prevention of dose dumping. Resins are polymers that contain appropriately substituted acidic groups, such as carboxylic and sulfonic for cation exchangers; or basic groups, such as quaternary ammonium group for anion exchangers. Drug resin complexation converts drug to amorphous form leading to improved drug dissolution. Many studies have reported the use of IER for drug delivery on the desired site of action. Sulfonated and carboxylic resins with a polystyrene backbone are mostly used in clinical medicine. This review will cover various types of ion exchange resin, their property, chemistry; The role of IER in controlled drug delivery systems, its Industrial, Pharmaceutical and clinical applications, methods of preparation of IER along with their resonates.  

Published by: Pravin Sahu, Ruchita Jaiswani

Author: Pravin Sahu

Paper ID: V4I1-1279

Paper Status: published

Published: February 3, 2018

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Research Paper

Impact of Knowledge Management on Customer Satisfaction

The purpose of this research is determining the impact of knowledge management on customer satisfaction. Consequently, it is worth that the findings of this research study would be instrumental in informing the management of an organization on how best it can promote customer satisfaction through appropriate knowledge management. In this case, a questionnaire was used to collect data, and the research was carried out in Kufa Cement Factory. The results indicated that employing knowledge management leads to increased customer satisfaction.

Published by: Dr. Hamad Karem Al-Hadrawi

Author: Dr. Hamad Karem Al-Hadrawi

Paper ID: V4I1-1306

Paper Status: published

Published: February 3, 2018

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Research Paper

E-Aquaculture Monitoring Using Internet of Things

Technological significance has been a great support for settling on choice in various fields especially in aquaculture. The advancement of aquaculture has been on under advance for as long as a couple of years because of an absence of aquaculture learning and natural changes. Here, it generally concentrates on the upgrading of rural and aquaculture development through advanced information and communication processes. It extends the aquaculture organization's ability to meet the needs of its farmers. There is proof that ammonia, nitrogen and dissolved oxygen, pH is implicated in fish kills occurring on the ponds of Andhra Pradesh coastal areas due to the delay of problem identification. By utilizing IOT, it improves the simple access observing framework to diminish the human worry in aquaculture. The outcomes acquired, through GSM (Global System for Mobile correspondence) and GPRS for every day ready SMS can send to the rancher in case of crisis, he can ready to see the factual review report by regardless of area and motor has been ON consequently if the water level is diminished. On the off chance that DO is additionally diminished, the aerators will likewise be naturally exchanged on. This study gives the preferred data at any moment of time from any part of the world and screening their concern instantly at any part of the location.

Published by: S. P Kumar Gudapati

Author: S. P Kumar Gudapati

Paper ID: V4I1-1308

Paper Status: published

Published: February 3, 2018

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Research Paper

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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