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Research Paper

Design of Low Voltage two Stage CMOS Operational Amplifier

The method that presented in this paper is to design a low voltage CMOS operational amplifier, which operates at the ±1V power supply. Due to this, the demand for low voltage silicon chip systems has been increased. The supply voltage is scaled down to reduce the overall power consumption of the system. The objective of this project is to design a low voltage CMOS operational amplifier. The designed OP-AMP is a two-stage CMOS OP-AMP which exhibits a gain of 59.50 dB, the phase margin of 79.431 and unity gain bandwidth is 7.717 KHz. Design and Simulation have been carried out in LT Spice tools.

Published by: Merlyn Mariyam Varghese, Kusumam Joseph

Author: Merlyn Mariyam Varghese

Paper ID: V4I1-1198

Paper Status: published

Published: January 12, 2018

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Review Article

To Design and Develop Intelligent Exercise System

As the population increases day by day, the pollution and chances of traumas are increases. The health monitoring is also important to make physically strong. A load of physiotherapist is increased which result in poor performance of the patient exercise. The system is developed which increases the efficiency of a physiotherapist. Kinet based exercise system is developed which monitor and assign an exercise to the person. In defensive and rehabilitative healthcare, physical exercises are powerful involvement. However, a program may need in the range of thousands of practice repetitions, and many people do not adhere to the program making the exercise futile, or even dangerous. In recent years, applications developed based on Kinet are getting admired since human poses can be more easily estimated based on the sensed RGB-D information. There is no accurateness of doing free-hand exercise prescribed by physiotherapy Doctor. On the other, doing exercise is not that much interesting to do alone.

Published by: Nitu Sanjay Sharma

Author: Nitu Sanjay Sharma

Paper ID: V4I1-1196

Paper Status: published

Published: January 12, 2018

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Case Study

A Study on Role of Media in Women Empowerment in India

This research paper deals with the problems of women in general and focuses on the role of media in women Empowerment. It is an attempt to analyze the status of women by analyzing various indicators like socio, economic and decision-making powers.After independence, Government of India took several initiatives, programmes, and policies, apart from constitutional and legal safeguards for the empowerment of women in the country. As we know Women's are the wealth of India and they have contributed in almost every field and made the country feel proud at every occasion. They are in front, leading the country, making milestones and source of inspiration for many. However, another reality of Indian society is that there are systematic discrimination and neglect of women's in India, which could be in terms of limited access to education, health and property rights and domestic violence etc. The fear of sexual violence has been a powerful factor in restricting women's behavior and sense of freedom. The struggle against violence is actually the struggle against the unequal distribution of power both physical and economic between the sexes. Women empowerment in India is still a distant dream. There still exists a wide gap between the goals enunciated in the constitution, legislation, policies, plans, programs and related mechanisms on the one hand and the situational reality of the status of women in India, on the other hand. India is fast developing but women's in India continue to be discriminated. Media is the mirror of society and media reports are the reflection of happenings in the society. Communication is extremely important for women’s development and mass media play a significant role. It is to be noted that growth of women’s education and their entry into employment has contributed to the growth of media. Media has immense power to influence the masses and communication and IT revolution has further increased its importance. The study is based on primary and secondary sources. The study concludes with an observation that access to education and employment are only the enabling factors to empowerment, achievement towards the goal, however, depends largely on the attitude of the people towards gender equality.

Published by: Dr. Sonia Gupta

Author: Dr. Sonia Gupta

Paper ID: V4I1-1188

Paper Status: published

Published: January 11, 2018

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Research Paper

Adsorption Potential of BF Slag and BF Flue Dust towards Removal of Aqueous Phenol

The present work focuses the removal of phenol present in industrial wastewater (Steel Industry) using granulated BF slag and BF flue dust (generated as waste material in the steel industry). Several kinds of solid waste like granulated BF slag and BF flue dust and liquid toxic effluents are generated at different units process of integrated iron and steel plants. The study will help us to assess self-adsorption characteristics in plant generated solid water Vs in plant toxic effluents. In the study shows that granulated BF slag and BF flue dust are efficient adsorbents for the removal of phenol from the industrial wastewater.

Published by: Dr. Kalpataru Rout, Manoj Kumar Sahoo, Dr. CR Sahoo

Author: Dr. Kalpataru Rout

Paper ID: V4I1-1185

Paper Status: published

Published: January 11, 2018

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Survey Report

Neural Network Ensemble Model with Back Propagation for Classifying Melanoma on Dermoscopy Images-A Survey

Dermoscopy is the examination of the skin using skin surface microscopy. We develop a novel method for classifying melanocytic tumors as benign or malignant by the analysis of digital dermoscopy images. In this paper before classification pre-processing and segmentation, feature extraction is to be carried out. Then introduce the classifier based on neural network ensemble is used to classify the melanocytic tumors as benign or malignant. To improve the neural network's generalization performance proposes an effective neural network ensemble approach with an idea. One is to apply neural network's output sensitivity as a measure to evaluate neural network's output diversity at the input near training samples so as to able to select a diverse individual from a pool of well-trained neural network. Lesions are extracted using SGNN. Lesions are classified using a classifier based on neural network ensemble model.  

Published by: Jeena Johnson, Asha Vijayan

Author: Jeena Johnson

Paper ID: V4I1-1183

Paper Status: published

Published: January 11, 2018

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Technical Notes

BContri- An Algorithm for Monitoring Construction Site using RFID, GPS and GSM

Construction is recognized internationally as one of the information-intensive industry and subject to harsh conditions (e.g., rain and dust) and is often criticized for delivering projects late and over budget. Collection of detailed, accurate and a sufficient volume of information and timely delivery of them are vital to operating a well-managed and cost-efficient construction project. This paper investigates the fully automated data collection using integrated applications of Radio Frequency Identification (RFID), Global Positioning System (GPS) and Global System for Mobile Communication (GSM) technologies in the construction industry which focused on the real-time exchange of information between the construction site and off-site office, how this technology could change current practice. Therefore, the main objective of this study is to propose a system to improve efficiency and cost-effectiveness, practical communication and control among participants, and increase flexibility in terms of information delivery and response time on and off construction sites. Most of the used technologies in this research are commercially available and are inexpensive (RFID, GPS, GSM). Some application of advanced tracking and data storage technologies used in construction information management are discussed briefly.

Published by: Afiya V N

Author: Afiya V N

Paper ID: V4I1-1180

Paper Status: published

Published: January 11, 2018

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