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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

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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

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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

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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

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Research Paper

Probiotic characterization of lactic acid bacteria isolated from fermented grapes, dates and soil and partial purification of its probiotics

The present research was focused on probiotic characterization of lactic acid bacteria from soil and fermented foods.L acetic acid bacterial isolates were examined in-vitro for their probiotic characteristics and their antimicrobial activities against some human pathogens. For potential probiotic properties based on their Low pH tolerance, Bile salt resistance, Production of an antimicrobial substance, Proteolytic activity. The result shows that isolates belonged to the genus Lactobacillus. LAB isolates L5, L1 and L10 showed high acid tolerance at pH3.0 and pH2.0 for 3hrs, 0.3% Bile salt for 4hrs.13. They were exhibited good ability to attach to intestinal epithelial cells and were not resistant to the tested antibiotics they also showed good. Antimicrobial activities against the tested pathogenic strains of human and most of them exhibited stronger antimicrobial activity than the reference strain L. casei Shirota. Therefore, an isolated strain is thought to survive through the intestinal ecosystem and is considered to be suitable as a bio preservative and can be used as a development of various probiotic food products.

Published by: Dr. Heena Asif Pathan, Aazma Khan, Dr. Swati. D. Wavhal

Author: Dr. Heena Asif Pathan

Paper ID: V4I3-1361

Paper Status: published

Published: May 15, 2018

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Research Paper

Design and development of voice coil actuator device for examination of skin sensitivity of diabetic patients

Diabetic neuropathy can cause the loss in the sensation of feet skin that provokes amputation and wounds. In the occasion that diabetic neuropathy influences one to lose feeling in your skin especially under the feet, one may not feel the loss of sensation or wounds. The voice coil actuator is basically used in the industrial purpose and specifically designed for those industrial applications specifically one other motivational reason is that the voice coil actuator for this particular application isn't accessible and consequently should have been produced for this undertaking. This paper tells how the voice coil actuator is developed and the controller required. This also shows how the tone and vibration levels can be controlled individually to improve the system. Diabetes can make these wounds hard to recover and increase the likelihood of ailments. These wounds and infections can provoke the takeoff of a toe, foot, or part of the leg. Finding and treating skin issues early can cut down the chances that will make real contamination.

Published by: Mohammed Sameer M, Nagaraj M S, Thyagaraj C, Dr. Joshi Manisha S

Author: Mohammed Sameer M

Paper ID: V4I3-1358

Paper Status: published

Published: May 15, 2018

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