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Research Paper

An automated prediction system for academic performance

Data analytics has a key role in the educational system and it helps to predict the student’s performance based on academic and non-academic details. Any institution spends huge amount of work to analyze student performance. Accuracy of manual prediction depends on different factors like the relation between the student and teacher, the time spends for the analysis, etc. So prediction with high accuracy requires huge amount of time and mental work. This paper presents a system for student performance analysis and grade prediction. This system greatly helps both the academicians and students. Grade prediction system helps the students to improve their performance and reduce dropout. And academicians can draw a clear picture of each student in the institution by this prediction. This scenario uses a data set consist of 33 features of 382 students. Python Anaconda distribution is the tool used for analysis and prediction. Four classification methods, linear regression, random forest, gradient boosting and logistic regression were used. The result shows that random forest outperforms all other methods inaccuracy. The system also finds the high influential factors and calculates the correlation between the final mark with different features like study time, father occupation and time spent for internet access etc.

Published by: Shahina K. M.

Author: Shahina K. M.

Paper ID: V5I5-1277

Paper Status: published

Published: October 17, 2019

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Research Paper

Hybrid secured data retrieval disruption tolerant network

The sensitive data information leak of on systems has a big threat to system data. Research show that the encryption on files and communications due to human errors is one of the leading causes of information loss. However, finding the exposure of sensitive data information is important due to data transformation in the content. Transformations result in highly unpredictable leak patterns. In this paper, the sequence alignment techniques for detecting data-leak patterns. This algorithm is designed for detecting long and inexact sensitive data patterns. The system has detection accuracy in recognizing data leaks. To demonstrate the high multithreading scalability of the data leak detection method required by a requirement of organization.

Published by: Noorisaba Sheikh

Author: Noorisaba Sheikh

Paper ID: V5I5-1247

Paper Status: published

Published: October 17, 2019

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Research Paper

Design of Arduino driven gearbox

In this project, we aim at developing an easy gear shifting mechanism for transmission which will make motor car rider’s gear shifting very easy. It is everyone’s personal wish for effortless functioning of the automobile irrespective of the torque for pickup of the vehicle the human is using, yet the most important structure that every engineer works on is the gear shifting mechanism and looking after the effortless and desired ride on the car. Some simple mechanism is arranged with the pmdc motor and cross slider which will help us to change the gear as per the desired torque. In this gear shifting mechanism, gear shifting is done with the help of two cross slides. During this mechanism, the gear is operated by a servo motor which is controlled by the module feed in the Arduino Uno.

Published by: Shravan Anil Shinde, Pranit Narayan Nayyar

Author: Shravan Anil Shinde

Paper ID: V5I5-1245

Paper Status: published

Published: October 15, 2019

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Research Paper

Radiation analysis in human brain and skull exposed at 915 MHz, 1900 MHz and 2450 MHz frequencies and radiation minimization methods

In India, cell phone use is increasing day by day with very high growth of 50 million in 2005 to approximately 530 million now and the number is increasing more. When the mobile phone comes in close proximity to the human body then it is quite harmful due to the fact that it emits electromagnetic radiation. Now, 4G is in existence and it offers a huge variety of features. The dependence on mobile phones increases with 4G which is an alarming factor because continuous slow radiation is affecting the health. When RF products came into public use, there was a requirement for fixing emission standards. These standards were set by ICNIRP, FCC, IEEE, etc. regulating committees. The harmful radiation is described in terms of the successive approximation rate (SAR). The SAR limit is specified as 1.6 Watts/kilogram for part of the body(head exposure) and 0.08 Watts/kilogram for the whole body. In this paper, the SAR measurement is observed up to 5 mm inside the brain and skull at different distances between the human brain/skull vs mobile phone through a wide variety of radiation prone devices. The objective of the paper is to investigate the thermal radiation of the electromagnetic waves inside the human head through statistical calculations. The close distance up to which SAR may be harmful to the human brain has been tried to found out so that a safe distance could be predicted. Paper also investigates possible methods to minimize mobile phone radiation on exposed tissues.

Published by: Pragati Sharma, Dr. Gulzar Ahmed, Dr. A. K. Gautam

Author: Pragati Sharma

Paper ID: V5I5-1242

Paper Status: published

Published: October 14, 2019

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Review Paper

Efficiency of using functionalized mesoporous silica-based composites in organic textile dyes removal from aqueous media: Review

Due to its enormous significance for human life, at the present time water treatment is the subject of greatest importance. Technological progress, which is an integral part of the modern world is also the cause of a number of environmental problems. One such problem is water pollution by organic dyes which are mainly a consequence of the development of the textile industry. The importance of this problem led to the development of many different methods and techniques. Due to a number of advantages (stability, low cost, efficiency, etc.), the use of compounds based on silica is a matter of great interest to scientists at the present time. This review discusses the applications of functionalized silica-based inorganic/organic copolymers in removal of the most common organic dyes for water and wastewater purification process.

Published by: Parviz Azimov

Author: Parviz Azimov

Paper ID: V5I5-1237

Paper Status: published

Published: October 14, 2019

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Research Paper

Lean manufacturing of NI-MO powder from piston rings plasma spray coating process

This research aims at examining the feasibility of reusing the waste plasma spray coating powder that is collected during the plasma spray coating on piston rings. This coating process is used to improve the properties, wear resistance, corrosion resistance and provide protection against the high working temperature of piston rings. During the coating process apart from the powder-coated on the substrate, there is plenty of wastage that occurs in the plasma chamber. Our research mainly aims at reusing this waste powder without compromising the quality of a piston ring. Resource management was the main aim of this research, as a waste powder from the spraying process is reused and experimentation like x-ray fluorescence analysis, twisting fatigue, exfoliation, and microstructure analysis test has to be undertaken to analyze the piston rings to check its properties.

Published by: Vadivel M., Sanjay V., Manikanda Yuvaraj G.

Author: Vadivel M.

Paper ID: V5I5-1205

Paper Status: published

Published: October 12, 2019

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