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Thesis

Clustering technique in WSN using PSO algorithm

The lifetime maximization of the network is taken into account because of the major task while deploying a WSN. Some sort of protocols was designed to satisfy the necessity. Clustering technique is taken into account collectively of the necessary technique for the topology control to attain the target. This paper focuses on the lifetime maximization of the nodes by using Particle Swarm Optimization (PSO) algorithm. The proposed protocol shows higher ends up in a well-balanced clustering system that improves the network lifetime. Analysis, MATLAB Simulation, and the Experimental result were illustrated in this paper.

Published by: Mariyakkutty V V, Ajit Joseph

Author: Mariyakkutty V V

Paper ID: V4I3-1806

Paper Status: published

Published: June 9, 2018

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Research Paper

Knowledge of nurses on essential newborn care

Introduction Essential newborn care is a care that every newborn baby needs regardless of where it is born or its size. Essential newborn care should be applied immediately after the baby is born and continued for at least the first 7 days after birth (WHO). This study was conducted to assess the knowledge of nurses on essential newborn care. Methods The study was conducted using descriptive correlational research design. The samples included 30 nurses working in Apollo Cradle for Women & Children who were selected using purposive sampling technique. Data was collected using demographic variable proforma and structured questionnaire to assess the knowledge of nurses on essential newborn care through a non-experimental descriptive method. Results revealed that the mean and standard deviation of knowledge of nurses on essential newborn care was (M = 14.93, SD = 3.35). The study findings revealed that there was the significant association between selected demographic variables and knowledge of the nurses -years of experience and knowledge of nurses on essential newborn care (p < 0.05).

Published by: Jennifer G, Nesa Sathya Satchi, Dr. Latha Venkatesan

Author: Jennifer G

Paper ID: V4I3-1795

Paper Status: published

Published: June 9, 2018

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Review Paper

Vehicle detection using MATLAB

Automatic detection and counting of vehicles in an unsupervised videos on highways is very challenging in computer vision with important practical applications like monitoring traffic activities.Counting the number of objects is integral part of image processing.Knowing the number of objects present in the image is very useful in wide range of applications.The main objective of our study is to develop methodology for automatic vehicle detection and its counting on highways.A system has been developed to detect and count objects efficiently.We present a system for detecting and tracking vehicles in surveillance video which uses segmentation with initial background substraction using morphological operator to determine salient regions in sequence of video frames.

Published by: Roshni M., Maleka Anjum, Noorain Fatima

Author: Roshni M.

Paper ID: V4I3-1617

Paper Status: published

Published: June 9, 2018

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Research Paper

Identifying disease treatment by support vector machine with polynomial kernel

The Machine Learning field has gained its thrust in almost any domain of research and just recently has become a reliable tool in the medical domain. The experiential domain of automatic learning is used in tasks such as medical decision support, medical imaging, protein-protein interaction, extraction of medical knowledge, and for overall patient management care. ML is envisioned as a tool by which computer-based systems can be integrated into the healthcare field in order to get a better, well-organized medical care. It describes an ML-based methodology for building an application that is capable of identifying and disseminating healthcare information. It extracts sentences from published medical papers that mention diseases and treatments and identifies semantic relations that exist between diseases and treatments. Results for these tasks show that the proposed methodology obtains reliable outcomes that could be integrated into an application to be used in the medical care domain. The potential value of this method stands in the ML settings that are proposed and in the fact that it outperforms previous results on the same dataset.

Published by: Girish Vijay Agrawal, Kunal Sunil Ingale, Arpit Nitin Behede, Prashant Somnath Jadhav

Author: Girish Vijay Agrawal

Paper ID: V4I3-1820

Paper Status: published

Published: June 8, 2018

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Survey Report

A study of the sociolinguistic factors affecting polytechnic students in learning English in Telangana state

English plays an important role in our everyday life. There is the enormous efficacy of English in the current world. English has ready the social and economic trade between citizens of diverse communities and traditions spastically possible. It is well acknowledged that English-speaking people can be traced in all the continents of the earth and is the cause for its importance in the enforced education of several nations across the world. Every year Polytechnic Colleges in India bring out thousands of diploma holders in different specializations. However, they have to struggle in a competitive world against graduates from other tertiary specializations. The State of Telangana has always led in achieving excellence in all the areas like schooling, Engineering & Technology, agricultural and industrial development at the national level. In today’s globalized situation, these students needed not only subject awareness of the specific courses but also English verbal communication skills and soft skills to excel in academic and professional life. The majority of students join in polytechnic courses in the States come from non-English verbal communication backgrounds and they require getting better their communicative competence. Here the role of English teachers becomes challenging. This study plan at ruling the complexity of the students in Sociolinguistic factors like social class, home condition, peer relations, aspiration levels and academic inclination among polytechnic students from rural, urban and metropolitan cities. The comparison study of the students will help to the Teachers/Educators/Government to make the necessary steps to improve the performance in learning and speaking English Confidently.

Published by: Ramala Vijaya

Author: Ramala Vijaya

Paper ID: V4I3-1803

Paper Status: published

Published: June 8, 2018

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Others

Decentralized digital voting application

The blockchain is a decentralized, distributed database. A decentralized application utilizing blockchain technology enables you to perform similar activities you would do today yet without a trusted outsider. It is a shared system, a peer-to-peer network. Blockchain solves primary issues like transparency, security, accessibility that are the fundamental issues in current law based races. Ethereum is a platform that can be utilized to assemble the decentralized application. The blockchain is a changeless record of exchanges (votes) that are distributed in the system. Everyone’s information that is the votes is stored in blockchain as transactions. The past votes can't be changed, while the present can't be hacked, on the grounds that each exchange is checked by each and every hub in the system. What's more, any outside or inside aggressor must have control of the hubs in the system to modify the record. Along these lines, every one of the exchanges stored on the blockchain is unchanged and thus this makes the application more secure in every aspect.

Published by: Sushmitha M, Aishwarya H D, Madhushree M, Pooja P, Dr. Saravana Balaji

Author: Sushmitha M

Paper ID: V4I3-1814

Paper Status: published

Published: June 8, 2018

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