Manuscripts

Recent Papers

Research Paper

Freedom of media and politics in India: The truth or a façade?

Free press and media can be defined as tools provided to media organizations which are not controlled or restricted by government censorship in political or ideological matters. The Constitution of India provides freedom to the press so that they can express and criticize the government as well as their actions in a balanced manner. While the exact definition is variable, politics can be generally defined as a component of a nation, structured in a hierarchical order, with a responsibility to govern and ensure the well-being of the citizens. The main objective of the paper is to investigate the relationship between media and politics and the impact they have on each other. In total, 208 people were received and were used for the final analysis and to explore the current socio- political scenario in the country due to the lockdown imposed during April- May, 2021. The sample size satisfies the requirements for the result analysis The random sampling method was used to establish a link between media, politics and the people. The results revealed that there is a strong relationship between media and politics and they favour each other to further their own agenda and to strengthen their popularity and to remain in power and to dominate in the market. The study discovered a new dimension to the issue that even the people of this country are somewhat responsible for the present media crisis and political corruption. The media and the government are setting the trend of working together and are being accused of endorsing political propaganda instead of reporting the truth. The researchers dealt deeper into the reasons as to why the press had to incorporate politics and their agendas to survive and the impact the media has on people in sustaining democracy in a country like India. As this is a conceptual topic, one can find the application of a combination of both primary and secondary data for the study.

Published by: Dr. Jaya Patil, Ashmita Bhagati, Sashya Simha, Oindri Kundu, Manisha Rout

Author: Dr. Jaya Patil

Paper ID: V7I3-1962

Paper Status: published

Published: June 21, 2021

Full Details
Research Paper

A study to assess the effectiveness of Structured Teaching Programme (STP) on knowledge of high school students regarding drug addiction in selected high schools at selected rural areas

Drug addiction/abuse is a social problem, not in India alone, but the entire world. The use of drugs has its own culture and history, which varies from country to country. The problem of drug abuse is growing at an explosive rate and in just a little, over a decade it has spread its malevolent tentacles to almost every part of the globe surmounting almost all barriers of race, caste, creed, religion, sex, educational status, economic strata, etc. Drug addiction among adolescents has become a global challenge and also an important public health concern and for the past two decades, there has been a dramatic increase in the demand for interventions to address the substance abuse problem. This demand has led to the development of multiple primary, secondary and tertiary substance abuse prevention programs. Material and Method: In this study quasi-experimental two-group pre-test - the post-test design was adopted. The study sample considers the 60 students’ high school regarding drug addiction in selected High schools in selected rural areas. Its shows that the difference between pre-test and post-test overall knowledge score was 28.26%. So the results of the study showed the difference between the pre-test and post-test knowledge scores of the high school students regarding drug addiction were statistically significant and the difference is due to the administration of structured teaching programs to high school students regarding drug addiction. The post-test analysis revealed there is significant association was found with age, monthly income of the family, year of high school study, and source of information regarding drug addiction at p < 0.05, and no association could be found with other demographic variables of high school students. Conclusion: The majority of students awarded with the substance abuse side effect, Treatment, Coping with addiction by structured teaching Programme. The rise in drug use by young adolescents requires special attention from all the adults (and institutions) who work with the young college-going population.

Published by: Krishna Venkatesh Taddapalli, Reman Viththalrao Jungale, Vikrant Ratnakar Kulthe

Author: Krishna Venkatesh Taddapalli

Paper ID: V7I3-1942

Paper Status: published

Published: June 21, 2021

Full Details
Research Paper

Machine Learning and NLP based System for Medical Data Analytics and Prediction

In the present technical era, healthcare providers generate large amounts of medical data on a day-to-day basis. Produced clinical information is placed away carefully as Electronic Health Record (EHR) as essential information archive of medical clinics. These days Artificial Intelligence (AI) have been developing rapidly in recent years. Particularly, wellbeing data framework can get most advantages from the AI benefits. Specifically, symptom based disease prediction expectation exploration and creation turned out to be progressively mainstream in the medical care area as of late. In the paper, we have proposed a structure to assess the proficiency of applying both Natural Language Processing (NLP) and Machine learning (ML) advances for disease prediction framework. As an example we have interpreted n2c2 heart related disease symptom datasets from DBMI portal. The acquired patient records is in XML format which is parsed and converted to structured format and naive Bayes algorithm is applied for training.

Published by: Pooja S. P., Harshitha H. N., Meghashree M., Navyashree A. M., Merin Meleet

Author: Pooja S. P.

Paper ID: V7I3-1977

Paper Status: published

Published: June 21, 2021

Full Details
Research Paper

Business process management and its future

For any enterprise operations, it has always been at the heart to optimize its business processes. And with the allure to serve organizations in achieving operational excellence, increasing productivity, or saving costs, there has been growing interest and boom in Business Process Management (BPM). And as there is growth in sophistication and Artificial Intelligence (AI) becomes more cost-efficient, there has been an increasing impact of AI from lower-level functional tasks to the highest levels of enterprise restructuring in BPM. With significant growth in machine learning and AI, we can expect it to have a greater impact on BPM.

Published by: Sanjay Singh Rawat, Chetna Achar

Author: Sanjay Singh Rawat

Paper ID: V7I3-1965

Paper Status: published

Published: June 21, 2021

Full Details
Research Paper

LIFI Technology

Light Fidelity (LIFI) is Visible Light Communication (VLC) based innovation that makes a light as a media of correspondence supplanting the link wire correspondence. LIFI develop to defeat the pace in WIFI, while utilizing LIFI the pace can reach up to 14 Gbps. This paper presents a presentation, geographies, Performance, Advantage and Disadvantage of the LIFI innovation. The consequence of this paper can be utilized as a source of perspective to foster LIFI innovation.

Published by: Karan Singh, Sarala Mary

Author: Karan Singh

Paper ID: V7I3-2005

Paper Status: published

Published: June 21, 2021

Full Details
Research Paper

Effective implementation of smart agriculture monitoring system using IoT sensor network

Agriculture is an essential part of the Indian economy. More than 60% of India's agriculture-based population and a third of the nation's income comes from farming practices. Hence, it plays an important role in the country's development. The possible solution to these problems is to go for modernized agriculture that is part of modern trends. Therefore, agriculture can be made smart with the help of IoT and other technologies. Smart agriculture increases crop yields and reduces water waste and the imbalanced use of fertilizers. The most prominent feature of the project is that it measures various agricultural parameters that affect yields like moisture sensor, temperature sensor, ultrasonic sensor, and rain sensor using ATMEGA4809 chip and displays in LCD. Secondly, it sends all data to the cloud for analysis. The paper also includes an android mobile application that allows farmers to easily access information. In addition, the work also proposes an intelligent irrigation system that can optimize water consumption.

Published by: S. Purushothaman, Ajay Kanna R., Dhivakar G., Ashok Kumar K., Dilip Kumar E.

Author: S. Purushothaman

Paper ID: V7I3-1975

Paper Status: published

Published: June 21, 2021

Full Details