Exploring the Gender Pay Gap in India: Assessing its Implications on Economic Growth and Development
This research aims to look into unequal pay among India’s male and female employees, utilizing information obtained from the National Sample Survey Organization (NSSO) as well as the Labour Bureau Ministry of Labour and Employment Government of India. The main idea is to examine women’s workforce participation in different Indian states between 2006 and 2014 while also comparing wages between men and women doing similar jobs. The study of gender inequality in salaries is important because it hampers economic growth, promotes social injustice, and undermines efforts for gender balance. This thesis will therefore use reliable government sources that have collected large amounts of data to reveal what causes wage imbalances between males and females within Indian labor markets. This inclusion of data covering almost a decade allows for long-term assessment regarding shifts or patterns vis-à-vis female workers’ job rates as well as earnings compared with those earned by their male counterparts. Consequently, through detailed statistical analysis based on various parameters, this investigation intends to find out why the difference in pay exists among different states in India and whether there are any linkages with education levels achieved; types of industries engaged in, or even cultural practices followed within these areas. By shedding light on the magnitude and determinants of the gender pay gap in India, this study aims to inform evidence-based policy interventions aimed at promoting gender equality and fostering inclusive economic development. The findings of this research hold implications not only for policymakers and governmental agencies but also for employers, civil society organizations, and advocacy groups striving to address gender-based disparities in the workplace and promote greater gender parity. This research contributes to the existing body of knowledge on the gender pay gap in India by conducting a rigorous analysis of empirical data collected from reputable sources. By elucidating the complexities of this issue and exploring potential avenues for intervention, this study seeks to advance our understanding of gender inequality in the Indian labor market and advocate for policy measures aimed at achieving greater economic justice and gender equity.
Published by: Punnya Sethi
Author: Punnya Sethi
Paper ID: V10I3-1161
Paper Status: published
Published: May 20, 2024
What are Quantum Computers and Why do we Need them?
Quantum computers represent the forefront of technological advancement, promising revolutionary applications across various fields. This paper explores the fundamental mechanics of quantum computing, the limitations of classical computers, and the superior capabilities of quantum computers. Additionally, it examines practical applications of quantum computing in real-world scenarios. The goal is to provide a comprehensive understanding of why quantum computing is essential for future technological progress and to highlight its potential to transform industries such as agriculture, artificial intelligence, cybersecurity, and finance.
Published by: Aarnav Chhikara
Author: Aarnav Chhikara
Paper ID: V10I3-1159
Paper Status: published
Published: May 20, 2024
The Cognizance of Implant Abutments selection: A Review
Dental implants have been one of the highly demanding treatment modalities in the field of dentistry since last few decades due to its various benefits such as its longevity, maintaining the integrity of oral tissues and structure and prevention of bone loss. Implant abutments are main components which serves in restoring dental implants. An abutment is that part of a dental implant which assembles a prepared tooth and is designed to be screwed into the implant body. It is the principal component which gives retention to the prosthesis. The parts of implant abutment are – The base, head and the collar. The base is that part of abutment which engages into the internal part of implant. The head acts as a prosthetic retainer and collar connects base and head. Thus, this review article mainly focuses on the implant abutments, its classification and abutment connection.
Published by: Dr. Rajat Chaudhari, Dr. Kishor Mahale, Dr. Smita Khalikar, Dr. Vilas Rajguru, Dr. Sonali Mahajan, Dr. Ulhas Tandale
Author: Dr. Rajat Chaudhari
Paper ID: V10I3-1158
Paper Status: published
Published: May 17, 2024
Probe Method for Stock Price Prediction using Machine Learning Techniques
A novel approach, referred to as the "Probe Method," for predicting stock prices by leveraging advanced Machine Learning (ML) techniques. In the dynamic and unpredictable world of financial markets, accurate forecasting of stock prices remains a challenging task. The Probe Method integrates a sophisticated ML framework to uncover patterns, relationships, and trends within historical market data, offering a promising avenue for improved prediction accuracy. The methodology begins by formulating the stock price prediction as a supervised learning problem, where historical stock prices, technical indicators, and relevant economic factors collectively form the input features. The Probe Method introduces a unique twist by employing a diverse set of ML algorithms, acting as "probes," to extract valuable insights from the data.
Published by: Parnandi Srinu Vasarao, MIDHUN CHAKKARAVARTHY
Author: Parnandi Srinu Vasarao
Paper ID: V10I3-1157
Paper Status: published
Published: May 17, 2024
News Data Classification using Natural Language Processing and Large Language Models
In order to arrange and evaluate this enormous amount of data, effective categorization techniques are now essential due to the exponential growth of digital news material. This study investigates the use of Large Language Models (LLMs) and other Natural Language Processing (NLP) approaches for the classification of news data. We study how well LLMs do automatic news article classification into predefined classes or subjects. We show through experimental evaluation that LLM-based techniques are capable of effectively classifying news data, providing valuable information about future directions and possible applications in this field.
Published by: Prabhanjay Singh, Gurpreet Kour
Author: Prabhanjay Singh
Paper ID: V10I3-1156
Paper Status: published
Published: May 15, 2024
Centralized street light monitoring system using IoT
The importance of solar LED street lighting systems in reducing the significant energy consumption of conventional street lights is described in this abstract. It emphasizes how solar panels and IoT technology may be combined for effective energy management and conversion. The primary goals of the system are intelligent light control with motion sensors, problem detection through GSM technology, and real-time monitoring of solar panel and battery performance. Energy efficiency and the use of renewable energy sources are provided by this system, which uses solar radiation during the day to power LED lights at night. It also highlights the project's role in facilitating effective IoT integration and data transfer, which makes real-time energy management and monitoring possible.
Published by: Suriya. A, Vetri. J, S. Chanthini
Author: Suriya. A
Paper ID: V10I3-1148
Paper Status: published
Published: May 14, 2024
