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Research Paper

Face Recognition Attendance System

The Real-time Attendance Maintaining System is difficult process if it is done manually. It is an important requirement in the modern era to improve the working efficiency of the entire private and public sector. There are many smart and automated forms of biometrics to monitor the movement of students or employees such as fingerprint, palm scanning, iris,voice recognition etc. Face Recognition is one of them. By using this system, the issue of fake attendance and proxies can be solved. This paper suggests a robust procedure for monitoring attendees using facial recognition. The method proposed here for real-time character identification involves a facial recognition technique using Haar-like features with a Cascade classifier. For the purpose of face recognition histogram of local binary patterns (LBPH) are used. The major steps in the proposed system are capturing the images of the students, storing the captured images in the database, detecting the faces and recognizing them. The comparison is done by crosschecking the detected face with the database of student’s faces. This smart system will be effective way to maintain the attendance and records of students.

Published by: Jeevika P. Hundekar, Pallavi S., Kavya P., Hemalatha M.

Author: Jeevika P. Hundekar

Paper ID: V6I3-1524

Paper Status: published

Published: June 15, 2020

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Review Paper

E-assessment using image processing in infinity exam

This paper features a software system called ∞Exam (Infinity Exam) which supports (primarily in higher education) paper-based examination and makes it easier, more comfortable, and speed up the whole process while making keeping every single positive attribute of it but also reducing the number of negative aspects. The approach significantly differs from the ones used in the previous 10+ years which were implemented in such a way that they could not reproduce and replace the traditional based paper examination model. The heart of the article relies on the most important element of the software which is the image processing flow. The way of conducting testing the knowledge of a person using Multiple Choice Questions (MCQ) has been increased gradually. In education industries (like schools and colleges) it is more common now days having tests using multiple-choice questions. Even in conducting interviews, it is used. The current day scenario is either using OMR technology to correct the test or manually. In real-time, it is quite difficult to have OMR at all the time and manually it is highly taking the time to correct and it may give you the error. We address this issue, in our proposed system we using digital image processing technique to correct the answer using multiple choice questions in python. We are here using the Open Source Computer Vision Library (Open CV) to process and correct the answer. Python is the best language to implement this concept with the available Open CV library. In this system, we also implement it in the Django environment.

Published by: Supriya N. Kulmethe, Hirendra Hajare

Author: Supriya N. Kulmethe

Paper ID: V6I3-1518

Paper Status: published

Published: June 15, 2020

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Case Study

Peer to peer learning- An effective tool in students learning

Innovative teaching methods have to be adopted in today’s mindset of youngsters. Outcome-based education have to a giant leap forward to improve technical education in India and ensure learning registers in their young minds and make them compete with their competitors around the world globally. This can be achieved only if the knowledge posed by them is deep routed and are strong with their concepts. Innovative teaching methods which are the most subsets of Outcome-based education is a strong encouraging platform for students to encourage learning the concepts from their peers by which they encompassed with easy way learning. They seem to have more focused and fun during their learning process. Finally, the outcome is measured through knowledge of Via their internal assessment. As all the engineering colleges follow NBA accreditation in deciding the quality of the students, they have also streamed and asked to adopt modern ways of teaching such as ICT, Model Demonstration, flip class, poster presentation, etc. In such an attempt an effort has been taken to show how effective will be peer to peer learning in the form of flip class. In this present paper, a case study is developed through CO-PO mapping and attainment for Mechanical Engineering Students of Tier-II.[2] for the VII semester Mechanical Engineering Students for the subject “Operations Research

Published by: S. Nithya Poornima

Author: S. Nithya Poornima

Paper ID: V6I3-1433

Paper Status: published

Published: June 15, 2020

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Research Paper

Mental well-being of professionals during Covid-19 lockdown: A study through the introduction of JUMA framework and JMI

Covid-19 pandemic and related global lockdown brought the world to a standstill. Apart from the infections and deaths, the lockdown was also impacting the mental well-being of professionals. This could be because of extended lockdowns, work from home (or lack of it), economic uncertainty or other factors. There was a need to understand and measure the impact due to Covid-19 lockdown on professionals. To address this need, a study was conducted amidst the lockdown. The study was based on three themes, viz. Simplicity, Quantifiability, and Generation of Non-obvious insights. Under the theme of Simplicity, a new JUMA framework was designed and a survey (titled ‘Lockdown & me’) was launched for the carefully chosen samples. The framework was scientific, yet easy to use for a lay person. The survey was well received and responded, and the data was objectively aggregated using the new JMI (mental well-being Index) in line with the theme of Quantifiability. Finally, the data was studied for patterns and analysed using statistical techniques like ANOVA. This led to some critical Non-obvious insights - like ‘professionals of 32-41-year age group are most stressed’ or ‘women are more stressed than men’.

Published by: Mugdha Keskar, Jui Keskar, Dr. Om Prakash Sharma

Author: Mugdha Keskar

Paper ID: V6I3-1396

Paper Status: published

Published: June 15, 2020

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Research Paper

Application of power system stabilizers for enhancement of power system stability in single machine infinite bus and multi machine infinite bus by fuzzy logic controller

The power system is a dynamic and highly integrated system. Due to the large scale interconnections and highly nonlinear systems that operate in an uncertain environment where load, generator output, and operating parameter change continuously. So that it is constantly being subjected to low-frequency oscillation due to disturbance. These low-frequency oscillations cause a loss of synchronism and a breakdown of the entire system. The main function of the automatic voltage regulator is to monitor the output voltage of the generator and continuously maintain the constant terminal voltage of generator and hence it improves the transient stability of the power system. A power system stabilizer is used to generate a supplementary control signal for the excitation system in order to damp the low-frequency oscillation. The traditional solution to this problem is the application of a conventional power system stabilizer. The conventional power system stabilizer which uses lead-lag compensation where the gain setting design for the specific operating conditions is giving poor performance under different loading conditions. It is very difficult to design a stabilizer that could present good performance in all operating points of the electric power system. To overcome the drawback of the conventional power system stabilizer numerous techniques have been proposed. When the effect of power system stabilizers in damping of low-frequency oscillations in a multi-machine power system with different load combinations. If various load models considered are constant impedance load, a mixture of constant impedance, and constant current load and mixture of constant impedance and constant power load. The fuzzy logic power system stabilizer for stability enhancement of multi-machine power system. In order to accomplish the stability enhancement, speed deviation, and acceleration of the rotor of the synchronous generator of the multi-machine power system were taken as the input to the fuzzy logic controller.

Published by: Dipeshkumar Bharatbhai Patel

Author: Dipeshkumar Bharatbhai Patel

Paper ID: V6I3-1520

Paper Status: published

Published: June 13, 2020

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Research Paper

Third eye for blind using ultrasonic sensor

The third eye for the visually impaired is an advancement with the assistance of multidiscipline subjects like software engineering. As per WHO, 39 million individuals are blind. They are facing hardship in their daily life .so this project will be a wearable innovation for the blinds. By using an ultrasonic sensor this device senses the hurdles on wy of blinds.

Published by: Yashfeen Faruqui, Neha Bisnurker, Priti Lokhande, Rajeshwari Kolhe, Kanchan Sinotiya, Abhishikta Bowade, Ruchi Kadwane

Author: Yashfeen Faruqui

Paper ID: V6I3-1500

Paper Status: published

Published: June 13, 2020

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