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Survey Report

A survey on operating systems, LFS and BLFS

Recently, government organizations, specialists have been attracted to the movement of open-source software and on top of them, the Linux open-source and free operating system has caught the most attention. So much so that in this movement even the biggest companies like Google, Oracle have stepped forward and are developing open-source software, particularly Linux. This paper states the stepwise development of a Linux based operating system with the Linux from Scratch (LFS) method. First, we take a look at different operating systems, and the need to develop another Linux-based system. The advantages and disadvantages of these operating systems are presented. And further, we analyze a step by step method from “scratch” to a complete Linux-based operating system.

Published by: Kohinoor Chatterjee, Prafull Lad, Kartik Kapgate, Isha Bansod, Pravin Khandare

Author: Kohinoor Chatterjee

Paper ID: V6I2-1386

Paper Status: published

Published: April 15, 2020

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Research Paper

Recommendation system of course selection

This module is a program for recommending various courses on the basis of academic results and student selection. Students choose specific courses of study because of their interests and possible future development upon graduation. It is a unique approach to student counseling that proposes different approaches to learners and resources, processing natural languages, indicators for developing skills and knowledge. It collects course information and commends them according to their students' preferences, interests and needs. Choosing the wrong subjects means the discrepancy between the student's understanding, power, and personal interest. Problems arise when a student is not interested in the course that is not well-matched with the student's ability. In this module, the system assesses the power of psychometric tests and is based on their previous learning outcomes. Incorporating all aspects, speaking and deciding which lessons should be recommended by learners. So it's nice to have some kind of smart complementary tools that need to be made to help them.

Published by: Saurabh Jayakumar Gandhi, Nikita Bhamare, Yugandhara Jadhav, Swati Patil

Author: Saurabh Jayakumar Gandhi

Paper ID: V6I2-1359

Paper Status: published

Published: April 15, 2020

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Research Paper

Multiple clustering solutions using FK-means Algorithm

Most of the clustering algorithms try to find a single efficient clustering solution. However, data can be grouped and interpreted in many different ways. Moreover, different efficient clustering solutions are interesting for different views. This is particularly true in the high dimensional, where different views reveal different possible groupings of the data. In this paper, we apply multivariate mutual information to find multiple views for the data by grouping features. Then we apply the Fast K-means (FK-means) algorithm to these different views to find multiple clustering solutions. Our experiments on synthetic and real data show that our method can discover multiple views of the data that correspond to different solutions

Published by: Ahmed I. Taloba, Rasha M. Abd ElAziz

Author: Ahmed I. Taloba

Paper ID: V6I2-1389

Paper Status: published

Published: April 14, 2020

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Research Paper

Production of bio fuel from used cooking oil

Biodiesels are very good alternatives to diesel oils as they have similar properties. It is one of the best substitutes for the fuels and it has acquired significance due to the shortness of conventional fuels. These biodiesels can also be produced from waste cooking oil by transesterification process. These waste cooking oils are better options for conventional fossil fuels. Also, biodiesel can be produced from animal fats and vegetable oils but it may compete for the food supply. Waste cooking oils are considered to be a substantial feedstock.

Published by: Nandhini M., Deva Dharshini S., Kanimozhi R.

Author: Nandhini M.

Paper ID: V6I2-1378

Paper Status: published

Published: April 14, 2020

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Research Paper

Automatic toll tax collection system using RFID

ATTCS is an Automatic Toll Tax Collection System. In this paper, the evaluation of the performance of the Automatic Toll Tax Collection System Using RFID is being carried out using JAVA Technology implemented on Net Beans IDE 8.0 and My SQL Database. The automatic toll tax collection system also carries its Wampserver Connection and mailing SMTP protocol. The automatic toll tax collection system is used for collecting the toll tax automatically that helps in reducing the heavy congestions and avoiding traffics caused in the metropolitan cities toll plaza. For this, we provide a particular RFID tag for each vehicle whether a person buys a new vehicle or have a there existing vehicle. The particular RFID tag has its own unique identification number assigned which stores various information in there database server like username, password, address, email, mobile number, vehicle number and prepaid account. Whenever the vehicle has to pass the toll plaza then it must have their particular RFID tag that has been assigned for that particular vehicle in which RFID Reader reads and verifies the vehicle information and then deducts the tax amount from their prepaid account balance. If any of the processes fails that vehicle is trapped and now that particular vehicle is being verified manually and then passed through the manual toll gate. This system helps in saving time, money and fuel conservation as well as helps in trapping the unauthorized illegal vehicles.

Published by: Shivam Singh, Shashank Shukla, Sangam Kumar Mishra, Vishal Kumar Singh

Author: Shivam Singh

Paper ID: V6I2-1373

Paper Status: published

Published: April 11, 2020

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Research Paper

Tracking of ambulance in rural areas in emergency situations using GPS and GSM

This program accomplishes two major purposes. The first task is to track the patient carrying ambulance and then the second purpose is to relay the small print of patient information to the hospital or doctor using a GSM device. Using this project, we will figure out where the ambulance is placed and at the approximate time of arrival of a patient. An SMS containing the location and approximate arrival time values is sent to every designated person in the hospital to a Doctor's cell phone. This knowledge will then be used to intimate Doctors about the location of an ambulance and the time of arrival. Using these guidelines, the doctor will do all the arrangements required for patient care. This uses IOT monitoring technology to view position. Upon getting SMS hospital, its personnel will brace for the proper diagnosis and procedures of the patient to come.

Published by: Kari Yamini Priyamvadha, Shaikh Shakeela, Pabbisetty Girish Sai

Author: Kari Yamini Priyamvadha

Paper ID: V6I2-1351

Paper Status: published

Published: April 11, 2020

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