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A study of groundwater quality and mapping using GIS techniques in Kodungaiyur, Chennai

Groundwater quality in Kodungaiyur, Chennai district has special significance and needs great attention of all concerned since it is the major alternate source of domestic, industrial and drinking water supply. The present study monitors the groundwater quality maps using GIS techniques for a part of Kodungaiyur. Physico-chemical analysis data of the groundwater samples collected at predetermined locations forms the attribute database for the study, based on which, spatial distribution maps of major water quality parameters are prepared using curve fitting method in Arc View GIS software. GIS has been used extensively to assess the water quality all over the world, advancement of Geographical Information System (GIS) and Spatial Analysis help to integrate the laboratory analysis data with the geographic data and to model the spatial distributions of water quality parameters, most robustly and accurately. The objective of the study is to evaluate the water quality map in Kodungaiyur. For this purpose, Inverse Distance Weighed (IDW) spatial interpolation technique has been used to estimate the spatial distribution of the water quality parameters and WHO standards. The results are compared with WHO permissible limits from the point of view of the suitability of groundwater for human consumption.

Published by: S. Thangaperumal, S. Monica Shree, D. P. Noel Bhuvana Rani

Author: S. Thangaperumal

Paper ID: V5I2-1471

Paper Status: published

Published: March 26, 2019

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Research Paper

Impact of CSR Spending on firm’s financial performance

This paper examines the impact of CSR spending on the firm’s financial performance. The government has made CSR spending mandatory by which the organizations can significant contributions to the benefit of the public. The data for the study was collected for 5 years and the study takes into consideration the top ten companies for CSR spending. In order to find out whether CSR spending has an impact, three variables are taken into consideration such as ROA, EPS, Net Profit. Independent Pooled OLS Regression, Fixed Effect and Random effect method was used. The findings were that the Net profit has a significant relationship with the CSR Spending whereas ROA and EPS have no impact.

Published by: Grizel Menezes

Author: Grizel Menezes

Paper ID: V5I2-1504

Paper Status: published

Published: March 26, 2019

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Research Paper

Deforestation: A quantitative analysis using remote sensing and GIS

Deforestation and forest degradation are the second leading causes of greenhouse emissions and fossil fuel combustion, which is responsible for over 17% of global carbon dioxide emissions. Deforestation and forest degradation have become an important issue concerning climate change mitigation, highlighted in the Governmental Panel on Climate Change Fourth Assessment Report in 2007. About 75% of the emissions from tropical deforestation and forest degradation have been from developing countries containing large areas of tropical forest, including India. Global initiatives such as the United Nations Framework Convention on Climate Change program on Reducing Emissions. In this thesis, we are mapping about the deforestation for maintaining future of living organisms.

Published by: Thangaperumal S., k.Jaya Surya, Anbin B. Bervin

Author: Thangaperumal S.

Paper ID: V5I2-1508

Paper Status: published

Published: March 26, 2019

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Research Paper

Neonatal incubator monitoring system using IoT

There are many innovations occurring in the medical field like needle-free diabetes, robotic check-up, etc. But still, medical accidents are happening in today world due to improper care which even leading to death. We are aware that many infants were dead in recent times due to both human error and machine error. Hence we discuss the advancements that can be brought to the present machines such that the newborn babies would be safe and thus leading to the prevention of accidents that occur in the incubator. To control the accident, need to monitor continuously with better involvement, it is done only through automation. The medical staff can monitor anytime, anywhere. Prevent the infant from the fire and also keep them safe.

Published by: Vignesh T. C., Jai Kumar S., Hari Krishna R., Krishna Raj M.

Author: Vignesh T. C.

Paper ID: V5I2-1521

Paper Status: published

Published: March 26, 2019

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Research Paper

A study on impact of stress levels among students using random forest algorithm

Mental health presents one of the greatest and real challenges to the current generation of students. The competitive lifestyles cause them to manage different challenges to achieve their goals and people to be eager to achieve something, causing them to manage multiple frustrations and demands. In this pressurized and highly technical environment, anxiety disorders have slowly occupied their mental health. Nowadays Generalized Anxiety Disorder (GAD) is one of the mental health problems among students. It has been reported that about 2-5% of them. Here our raw data like questionnaire is a valuable resource, but it is underutilized at some circumstances. It could potentially be converted into useful and understandable knowledge via data mining technology. Data mining is capable to identify hidden patterns and relationships that can be used for predicting different disorders. For effective prediction, the random forest approach is one of the classification data mining techniques which produces good predictive characteristics. Therefore, this research adopts a random forest approach to predict different disorders like Generalized Disorder, Anxiety Disorder, Depression, and the accuracy of the predictive result is reported.

Published by: Pinninti Kusuma, Dokkari Siva

Author: Pinninti Kusuma

Paper ID: V5I2-1509

Paper Status: published

Published: March 26, 2019

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Research Paper

Secure distributed cloud service using trusted third party

Cloud storage is a system with a distributed data center that takes advantage of virtualization technology and provides an interface for data storage. It makes servers or data centers able to work together for conveniently sharing and accessing resources. Enterprise cloud user demand that there is a secure supply chain and that every step in that supply chain can be verified in real-time and when things go wrong it is more possible to figure out what went wrong and that there is someone who can be held accountable. Before storing data to an untrusted cloud server, some measures should be adopted to guarantee the security of data. However, the communication overhead will increase when users transmit files encrypted by traditional encryption schemes. Remote data integrity checking enables a data storage server to prove to a verifier that it is actually storing a data owner’s data honestly. We use Hadoop file system to provide high throughput access to user data. If the semi-honest cloud server does not delete the data honestly and returns an incorrect deletion result, the misbehavior of the cloud server can be detected by the data owner with an overwhelming probability. The user cannot deny after requiring the cloud server to delete the data. This implies that the proposed scheme can support traceability.

Published by: Hari Kumar P., Chandra Sekar S., Dinesh Kumar V., Gopikrishna G.

Author: Hari Kumar P.

Paper ID: V5I2-1347

Paper Status: published

Published: March 26, 2019

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