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
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
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
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
Pollution Human Rights and Environmental Protection
In terms of international awareness, the connection between human rights and Environmental protection is steadily grown significantly, given that environmental protection became an important issue on the international agenda. Over the years, environmental legislation has evolved being involved in human rights and recognizing the fundamental rights in relation to the environment. A considerable number of legal instruments at international, regional and national levels have been approved and established specialized bodies to respond to problems identified in human rights and environmental protection. Environmental instruments increasingly include protection of human rights and principles, including the specific procedural rights such as access to information and access to justice and the principles of implementation. At the same time, the development of environmental norms has affected human rights. This paper highlights some of the developments that have occurred at the international, regional and national levels in recognition of the link between the protection of the natural environment and human rights and the impact that they have in achieving the aims of each other.
Published by: Vishal Bhardwaj
Author: Vishal Bhardwaj
Paper ID: V4I1-1166
Paper Status: published
Published: January 11, 2018
Resolving Multi-party Privacy Conflicts in Social Media
Information shared through Social Media may affect more than one user’s privacy e.g., Information that depicts different users, comments that mention different users, events in which different users are invited, etc. Many types of privacy management support in present mainstream Social Media foundation makes users unable to appropriately control the sender and receiver. Computational mechanisms that are able to merge the privacy preferences of different users into a single policy for an item can help solve this problem. Merging different user’s personal preferences is difficult hence conflicts occur in privacy preferences, so methods to resolve conflicts are needed. Moreover, these techniques need to consider how users’ would actually reach an engagement about a solution to the conflict in order to propose solutions that can be acceptable by all of the users affected by the information to be shared. present approaches are either too demanding or only consider fixed ways of aggregating privacy preferences. Here, we introduce the basic computational procedure to overcome problems in Social Media that is able to adapt to different situations by modeling the concessions that users make to reach answers to the conflicts. The present results of a user study in which our introduced mechanism outperformed other present approaches in terms of how many times each approach matched users’ action. Computational mechanisms that are able to merge the privacy preferences of multiple users into a single policy for an item can help solve this problem. However, merging multiple users’ privacy preferences is not an easy task, because privacy preferences may conflict, so methods to resolve conflicts are needed. Moreover, these methods need to consider how users’ would actually reach an agreement about a solution to the conflict in order to propose solutions that can be acceptable by all of the users affected by the item to be shared. Current approaches are either too demanding or only consider fixed ways of aggregating privacy preferences. In this project, we propose the first computational mechanism to resolve conflicts for multi-party privacy management in Social Media that is able to adapt to different situations by modeling the concessions that users make to reach a solution to the conflicts. We also present results of a user study in which our proposed mechanism outperformed other existing approaches in terms of how many times each approach matched users’ behavior.
Published by: M. Premkumar, Dr. Selvaraj
Author: M. Premkumar
Paper ID: V4I1-1193
Paper Status: published
Published: January 10, 2018
