Manuscripts

Recent Papers

Case Study

Comprehending depression in Youth!

Depression has well been foreseen as the major cause of death in some 5-6 years to come, surpassing cancer, stroke, accidents, you name it! A precarious malady, of which regrettably not much can be done on a preventive front. Well, everyone seems to go through depression - everyone, from the maniac laborer on highly low wages to someone you follow on Instagram or Twitter (though the intensity is manageable enough most of the times)! But can something really be done about it in the first place? Well, I would simply love to share my piece of experience with being an inexorable slave to the incessant mania, and helplessness. These won’t certainly be the words of a doctor. However, the primary inclination of whatever would go on further would always be towards helping you out with a few tools that I feel I have managed to gather down the road. I do feel that I have emerged victorious over such a bipolar disorder (fingers crossed - for at least I have been able to write on it!), and by now, I have fairly been able to acclimatize myself with a few poignant repercussions as well.

Published by: Mayank M. Bhandare

Author: Mayank M. Bhandare

Paper ID: V4I3-1349

Paper Status: published

Published: May 15, 2018

Full Details
Research Paper

Performance evaluation and energy efficiency based on SROLSR in MANET

Mobile Ad Hoc Network (MANET) is formed by a set of wireless mobile hosts that dynamically configure themselves by exploiting their wireless network interfaces without relying on any fixed infrastructure. Mobile hosts used in MANET supports the roles that are ensured by the powerful fixed infrastructure in traditional networks. This is a challenging task for the mobile hosts that have limited resources such as processing power, storage, and energy. Malicious and selfish behaviors are a serious threat against routing in delay/disruption tolerant networks (DTNs). A probabilistic misbehavior detection scheme, for secure DTN routing toward Fine-grained analysis closely coupled with the concept of trust. Nodes may misbehave either because they are malicious or because they are selfish. The approach is used in parallel to generate the list of misbehaving nodes. For efficient Improvement of the scheme, we correlate detection probability with a node’s reputation. The analysis and simulation results demonstrate the Effectiveness and efficiency of the proposed scheme using SR-OLSR Protocol. Mobile ad hoc networks (MANET) rely on the cooperation of all the participating nodes. The SR-OLSR protocol itself incurs a low checking overhead, Every node computes the trust of the observed neighbors. These trust values are passed on to analyzer function which is mapped into different classes. The resulting classes show the trust levels of the observed nodes using per hop distance and measurement and also we achieve security to send the message from the source to destination.

Published by: Arunadevi. D

Author: Arunadevi. D

Paper ID: V4I3-1345

Paper Status: published

Published: May 15, 2018

Full Details
Research Paper

An efficient approach for attendance management system for occluded face recognition

The face is the identity of a person. The traditional approach for attendance can now be replaced by an effective online attendance management system in a classroom environment. The methods to exploit this physical feature have seen a great change since the advent of image processing techniques. The attendance is taken in every school, colleges, and library. The system aims to deviate from traditional systems and introduce a new approach for taking an attendance using image Processing. This describes the working of an Attendance Management System in a classroom environment. Generally, the students in the classroom will sit in an occluded manner. Hence there are more chances of overlapping of faces. In this method initially, the video clip of classroom is taken and is stored in the database. The video clips along with the occluded region are converted into full frames/images. Then we apply Face detection techniques to detect the faces in frames/images and then features are extracted from the detected face (HOG and LBP algorithm). The system first stores the faces of the students in the database. The detected faces are compared with the faces stored in the database during face recognition (SVM classifier). If the system recognizes faces, the attendance gets marked immediately of recognized faces. Given video is compared with the database, after comparing faces are detected and recognized. Attendance gets marked. The methods proposed till now have no solution for Occlusion in which, the overlapped faces are not detected. But this system has the solution for occlusion in which the overlapped faces are detected. Hence, the attendance gets marked.

Published by: Ramya Yalwarkar, Shivaleela Patil, Shreya Mahajan, Dr. Suvarna Nandyal

Author: Ramya Yalwarkar

Paper ID: V4I3-1331

Paper Status: published

Published: May 15, 2018

Full Details
Review Paper

Optimal path finder using genetic algorithm

In a large scale network, shortest distance query is a primary operation. Travelling salesman problem is a major problem faced by salesman. Through this paper we describe how the travelling salesman problem is solved by the method of genetic algorithms. Genetic algorithms are the evolutionary techniques for finding the fittest gene amongst all the combination of chromosomes using crossover and mutations over the chromosomes. The purpose is to find the most approximate solution that gives us the least distance, which is the shortest route for traversing the cities. This problem a salesman has to traverse n number of cities in such way that it gives a ‘uni’ directed graph and each city is visited only once. We accomplish this by carrying out the algorithm through generating a fitness formula and With the help of genetic operators like selection, crossover and mutation.

Published by: Rahul Verma, Nimesh Khawas, Anup Rai, Arvind Lal

Author: Rahul Verma

Paper ID: V4I3-1402

Paper Status: published

Published: May 15, 2018

Full Details
Review Paper

Machine learning based classifier model for autonomous distracted driver detection and prevention

Recent researches and surveys have provided us with the evidence that distracted driving is a major cause of vehicle crashes all around the world. In-vehicle information systems (IVIS) have raised driver safety concern and thus, detecting distracted driver is of paramount importance. The project (or paper) shows a method of real-time distraction detection and initiates safety measures. In the realization of this project we have used Web-Cam, Raspberry Pi (a low cost, small size computing device), along with concepts of deep learning and convolutional neural networks. We classify drivers into multiple categories of distraction, some of them are texting, drinking, operating IVIS etc. Web-Cam feeds the classifier with real-time images of a driver of a particular vehicle. The system also constitutes a buzzer alarm which rings once the distraction is detected.

Published by: Ashu Yadav, Naveen Sharma, Yadvendra Yadav, Jasaram Choudhary, Praveen Hore

Author: Ashu Yadav

Paper ID: V4I3-1387

Paper Status: published

Published: May 15, 2018

Full Details
Case Study

Analysis of technical process and application of process models in tannery department of the leather industry

The primary objective of this project is to explain the general technical process carried out in tannery department of leather industries with a detailed analysis of the requirements of the process. The paper also explains the different manufacturing steps in leather production in an industry. To make the system more effective, a few improvisations on the leather manufacturing processes that can be implemented are discussed. It also aims to define and explain the agile methodology, waterfall model and extracting characteristics from both the models to suit the system. The paper describes the generalized overview of standard processes carried out through leather industries and some of the processes may differ with respect to a few aspects of each organization.

Published by: Mahalakshmi Ramasubbu

Author: Mahalakshmi Ramasubbu

Paper ID: V4I3-1374

Paper Status: published

Published: May 15, 2018

Full Details