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Research Paper

Role of IoT in COVID-19

The COVID-19 pandemic provided a needed sanity check for IoT-inspired frameworks and solutions. IoT solutions like remote health monitoring and make contact with tracing provided support for authorities to successfully manage the spread of the coronavirus. This article provides the first comprehensive review of key IoT solutions that impact COVID-19 in healthcare, contact tracing, and transportation during the pandemic. Each sector is investigated in-depth; and potential applications, social and economic impact, and barriers for mass adaptation are discussed intimately. It elaborates on the challenges and opportunities for IoT framework solutions within the immediate post-COVID-19 era. To this end, privacy and security concerns of IoT applications are analyzed in-depth and emerging standards and codes of practices for mass adaptation are discussed. The main contribution of this review paper is the in-depth analysis and categorization of sector-wise IoT technologies, which have the potential to be prominent applications within the new normal. IoT applications in each selected sector are rated for their potential economic and social impact, the timeline for mass adaptation, and Technology Readiness Level (TRL). In addition, this article outlines potential research directions for next-generation IoT applications that would improve performance with preserved privacy and security and wider adaptation by the population.

Published by: Prajakta Pokam, Chetna Achar

Author: Prajakta Pokam

Paper ID: V7I3-2135

Paper Status: published

Published: June 25, 2021

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Thesis

Data Science to design sports attire for better individual performance

A player's performance depends on a lot of factors. His personality, environment, playing style, teammates. Is luck one of those factors? Managers and Club Directors cannot change a player's personality, no matter how much they throw money for it. What they can do is provide Sporting Attires, Playing Positions, and Training Equipment that the players want. Now in a world where Social Media is ruling, every player wants to look good while also playing well, to take their own personal brands forward. So can there be a way where Clubs can analyze the Sentiments of each player in their squad according to the different styles of Jerseys that they play in? This paper gives a solution where we analyze the Sentiments of Players and their Performances in a particular style or design of Jersey, and give jerseys perfect for the whole squad to perform better.

Published by: Sagnik Roy

Author: Sagnik Roy

Paper ID: V7I3-2130

Paper Status: published

Published: June 25, 2021

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Research Paper

Civil society in the context of Arab world: Conceptual Understanding

Civil society is one of the most contested, ominous, and ambiguous concepts in social sciences. It is contested because it means many things to different intellectuals at the same time. Because of different and even contested views, the notion of civil society has become ambiguous. As a result, it is difficult to attain a united and an integrated understanding of civil society. One of the problems surrounded the analysis of civil society is to adopt universalist view and supposing that civil society “should” have similar features in all contexts. International agencies deal with civil society in developing countries as a metaphor of west. However, developing countries, such as Arab states has different historical trajectories of the civil society developments. In contrast to the universalist understanding of civil society, there is a contextual perception, according to which civil society is embedded in a meaningful mixture of political, social, and historical place. In other words, civil society is embedded in a context. Contextual understanding supposes the heterogeneity of the concerned phenomenon. Studying civil society in this paper adopts contextual understanding to conceptualize civil society in the Arab world. Key words: civil society, context.

Published by: Nada Malakani

Author: Nada Malakani

Paper ID: V7I3-2015

Paper Status: published

Published: June 25, 2021

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Research Paper

Local Navigation Application

This paper is aimed towards providing an easy access to locations around the college area especially useful to students moving to the city from elsewhere. Taking into consideration, the wide- spread use of cell-phones the project has been designed in the form of an application. The application created is designed with taking into consideration the immediate needs of the students. The application works in co-ordination with Google Maps and provides location access. The application also provides useful information regarding the locations. This paper provides the summary of the process of creation of this project.

Published by: Ayush Sudhakar Kohade, Neeraja Ravindra Khire, Khushi Ajay Bhartiya, Akshay Khubchandani, Pavankumar Bharat Khot

Author: Ayush Sudhakar Kohade

Paper ID: V7I3-2074

Paper Status: published

Published: June 25, 2021

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Research Paper

The Data mining technique in the prediction of diabetic retinopathy for community

The retinal malfunctioning caused during diabetes is popularly known as Diabetes retinopathy (DR) which is a severe disease of the retina and is emerging as a threat cause of less sightedness in the world. Eye using optical coherence tomography (OCT), and photographs of the fundus and for appraise of the thickness and the structure of the retina, furthermore for the discernment of edema, bleeding, and scarring. Deep learning models are particularly used for the analysis of OCT images, or fundus images, extraction of features that are unique to each period of study. and, in ramification, the classification of the images, and the stage of the disease. During this work, it is deep the neural network (CNN), with 24 convolutional layers and 4 fully-connected layers for the analysis of fundus images, and to distinguish between the control, moderate degree (i.e., a coalescence of mild and moderate Non-proliferative (D (NPDR) and severe degree (i.e., a group of severe NPDR, and keeps the DR (PDR)) the validation of the precision and accuracy of 88% -89%, a sensitivity of 87% -89%, and a specificity of 94% to 95% and the quadratic weighted Kappa scores of 0.91–0.92, with a 5-fold and 10-fold cross-validation methods, respectively. The last preprocessing phase has been carried out for both the class-specific image size and the data on the growth rate were to be applied. The proposed approach is significantly more accurate in the objective diagnosis and classification of diabetic retinopathy, which eliminates the need for retinal imaging and extends access to the retina, or treatment. This technology allows for early diagnosis, as well as the purpose of the monitoring of the progression of the disease, which may help in the optimization of medical therapy in order to denigrate the loss of visual function.

Published by: Manas Sanju Bhole

Author: Manas Sanju Bhole

Paper ID: V7I3-2119

Paper Status: published

Published: June 25, 2021

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Research Paper

Student advisory system

The student advisory system aims at analyzing the student educational data and acts as an advisory system to undergraduate students who are confused about which career path to choose . It provides them with multiple options based on their characteristics and helps them make the career decision wisely.

Published by: Sinchanaraj H. N., Disha O. V., Nihaal N., Keerthi D. C., Dr. G. Madhusudhan

Author: Sinchanaraj H. N.

Paper ID: V7I3-2125

Paper Status: published

Published: June 25, 2021

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