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Research Paper

A study on diversity of personality in a team and its effect on the team’s performance

Individuals differ in personality and social conduct. It is by and large acknowledged that some of this variety is because of contrasts in qualities and some to "condition"— that is, differences in individual’s experience. This study investigated the relationships between Personality differences in a team and its effect on the direct overall performance of the whole team. Particularly, this study has considered the MBTI, extensively used by professionals in relationships, spirituality, careers, education, workplace, and organization etc for investigating personality types. The MBTI personality test was conducted on Students based in Management College in Pune. A total of 79 students falling in the range of 21 to 23 years of age completed the personality test.

Published by: Sumit Yadav, Tanvi Malik, Naval Lawande

Author: Sumit Yadav

Paper ID: V4I3-1381

Paper Status: published

Published: May 15, 2018

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Research Paper

International human resource management: Challenging to cultural strategic management by decentralization

A have a look at on the cultural strategic management of labor with the aid of worldwide operations through decentralized the organization. Undertaking to the effectiveness of an employer with the aid of using sources as according to monetary overall performance, obeying local regulations and policies, technology and managing the human useful resource. The statistics analyzed with CGS system in conduct science. Analyzing the cultural by way of places are planning, implementation and control of the method to directing workforce in a business enterprise by way of decentralization. Well executed as in keeping with cultural strategy control by using the decentralized organization are new orientations to the effectiveness of worldwide human useful resource control. Through the assisting multinational companies are the developed enterprise in addition to their existed nations.

Published by: Mannava Sumaja, M Kishore Babu

Author: Mannava Sumaja

Paper ID: V4I3-1170

Paper Status: published

Published: May 15, 2018

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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

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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

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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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