Manuscripts

Recent Papers

Research Paper

Maritime Decarbonization

With increasing globalization and industrialization, world trade is experiencing significant growth. The maritime industry is the backbone of global trade, but it is a significant contributor to GHG emissions. This research paper delves into the negative impacts of the maritime industry on our environment, focusing on Heavy Fuel Oils (HFO’s), which emit large quantities of CO2 ,exploring the alternatives to these fuels such as Ammonia, Hydrogen, LNG’s etc. The study includes a case study of a company dominating market share in the maritime industry (Maersk) and another company which is a startup that has adopted environmentally friendly practices to achieve sustainability. Moreover, key obstacles such as fuel maturity, costs, and technological limitations are examined and policies implemented by the international organizations and steps taken by the Indian government are also considered. With increasing globalization and industrialization, world trade is experiencing significant growth. The maritime industry is the backbone of global trade, but it is a significant contributor to GHG emissions. This research paper delves into the negative impacts of the maritime industry on our environment, focusing on Heavy Fuel Oils (HFO’s), which emit large quantities of CO2 ,exploring the alternatives to these fuels such as Ammonia, Hydrogen, LNG’s etc. The study includes a case study of a company dominating market share in the maritime industry (Maersk) and another company which is a startup that has adopted environmentally friendly practices to achieve sustainability. Moreover, key obstacles such as fuel maturity, costs, and technological limitations are examined and policies implemented by the international organizations and steps taken by the Indian government are also considered.

Published by: Vinaya Dya

Author: Vinaya Dya

Paper ID: V10I5-1192

Paper Status: published

Published: September 21, 2024

Full Details
Research Paper

Quantifying Financial Cyber Risks in Financial Institutions: Monte Carlo Simulations, Time-Series Forecasting, and Cost-Benefit Optimization

This study assesses the financial impact of cyberattacks on financial institutions by applying Monte Carlo simulations, ARIMA-based forecasting, and Value at Risk (VaR) and Conditional VaR (CVaR) models to quantify direct and indirect losses, including regulatory fines, operational disruptions, and reputational damage. A cost-benefit analysis determines the optimal level of cybersecurity investment, and correlation analysis evaluates the systemic risks posed by cyberattacks across the financial ecosystem. The research finds that institutions face an average loss of $427.28 million over 10 years, with potential losses rising to $705.01 million in worst-case scenarios. VaR suggests a maximum expected loss of $268.23 million, while CVaR points to potential extreme losses of $437.36 million. Time-series forecasting projects continued growth in cyber losses, reaching $114.68 million annually by 2028. The study also reveals diminishing returns on cybersecurity investments beyond $1 billion, though positive ROI persists. Predictive models for cyber insurance estimate premiums ranging from $10.60 million to $176.52 million, helping institutions optimize risk mitigation strategies. These findings underscore the critical need for financial institutions to integrate cybersecurity into broader risk management frameworks, balancing investment with financial returns to enhance resilience against evolving threats.

Published by: Silvia Tsovwen Asakpa

Author: Silvia Tsovwen Asakpa

Paper ID: V10I5-1190

Paper Status: published

Published: September 21, 2024

Full Details
Research Paper

A Study on Chromosomal Aberrations and Sister Chromatid Exchanges in Lead Industry Workers

Lead is a widely used heavy metal with known toxicological effects, including severe health problems such as neurological damage, cardiovascular issues, and kidney damage. This study aimed to evaluate the genotoxic effects of lead exposure in lead factory workers. Methodology: 173 lead factory workers and 179 control subjects were included in the study. Blood samples were analysed for lead levels using Inductively Coupled Plasma Mass Spectrometry (ICP-MS). Cytogenetic damage was assessed by examining chromosomal aberrations (CA) and sister chromatid exchanges (SCE) in peripheral blood lymphocytes. Results: Blood lead levels in lead factory workers significantly increased compared to controls. Chromosomal aberration analysis, which included gaps, breaks, dicentrics, and polyploidy, showed no significant differences between the two groups. Sister chromatid exchange frequencies were higher in lead factory workers (SCE/cell: 3.47) than in controls (SCE/cell: 3.17), although this difference was not statistically significant. Conclusion: The study showed no cytogenetic damage in lead factory workers although there was an increase in the BLLs in the workers.

Published by: Spandhana Racharla, Shehnaz Sultana, P P Reddy

Author: Spandhana Racharla

Paper ID: V10I5-1201

Paper Status: published

Published: September 21, 2024

Full Details
Research Paper

Exploration of India’s COVID-19 Policies in Addressing the Ramifications of the Pandemic and their Implications on Public Health and The Economy

The COVID-19 pandemic became a global emergency, seriously affecting healthcare systems and economic systems all over the world. This study aims to present a comprehensive review of the policies implemented by the Indian government and central bank to address their economic impact. India, being the largest populated country, encountered extreme challenges while limiting the spread of SARS-CoV-2. This catastrophe significantly hampered the state of the economy and therefore required monetary, fiscal, educational, and technological interventions to shape economic recovery. Articles, journals, online newspapers, published documents, websites, and figures have been used to gain knowledge about the policies that were administered during the COVID-19 time. Furthermore, frameworks and models such as the AD-AS framework and the Lucas Asset Pricing System have been used to ease the process of understanding.

Published by: Vinaya Dua

Author: Vinaya Dua

Paper ID: V10I5-1184

Paper Status: published

Published: September 21, 2024

Full Details
Research Paper

A Systematic Review of Renewable Power Supply Systems

The present paper dwells on the development and significance of power supply systems progress, relative mainly to their renewable systems of energy sources incorporation. Old electricity distribution systems which have relied on fossil fuel sources of energy supply for many years have numerous drawbacks.Even with winding and extensive development of the 21st-century global economies, outdated forms of electricity supply and the commercial systems they incorporate have their share of disadvantages as they are insensitive to changes in power circuits: Such geometric and technological changes have stalled every so often and the locational logic of control systems and regulatory organs has often rendered uncoordinated the interconnection of grids and electric infrastructure Therefore high voltage DC transmission systems came to the rescue. This paper addressed solar, wind and hydropower systems among others as captured within the development of new technologies in energy. Even with this remarkable growth in the deployment of renewable energy resources among countries, changing these resources into their grid systems is still a challenge due to intermittency or non-alignment between demand-side response obligations and supply-side response. However, new solutions to such challenges in smart grid technologies include demand responses, storage capacity for electricity, and improved management of electricity distribution. The present paper dwells on the development and significance of power supply systems progress, relative mainly to their renewable systems of energy sources incorporation. Old electricity distribution systems which have relied on fossil fuel sources of energy supply for many years have numerous drawbacks.Even with winding and extensive development of the 21st-century global economies, outdated forms of electricity supply and the commercial systems they incorporate have their share of disadvantages as they are insensitive to changes in power circuits: Such geometric and technological changes have stalled every so often and the locational logic of control systems and regulatory organs has often rendered uncoordinated the interconnection of grids and electric infrastructure Therefore high voltage DC transmission systems came to the rescue. This paper addressed solar, wind and hydropower systems among others as captured within the development of new

Published by: Aaryan Gupta

Author: Aaryan Gupta

Paper ID: V10I5-1166

Paper Status: published

Published: September 20, 2024

Full Details
Research Paper

Decentralized Predictive Models for Making Procurement Decisions in Manufacturing Networks

This paper presents a decentralized procurement decision-making framework designed to optimize procurement strategies within distributed manufacturing networks. Traditional centralized procurement models often suffer from inefficiencies, opaque decision-making, and challenges related to multi-level risks, particularly in the context of globalized supply chains. To address these issues, this project proposes a decentralized architecture utilizing predictive modeling and machine learning techniques, supported by decentralized ledger technologies (DLT) such as blockchain. The framework integrates large language models (LLMs) to forecast supply chain risks, demand fluctuations, and pricing trends. Furthermore, smart contracts are employed to automate the procurement process, ensuring transparency, security, and compliance. The system incorporates real-time feedback mechanisms to enhance decision-making accuracy, reduce lead times, and mitigate procurement risks. Testing in collaboration with multiple manufacturing firms revealed improvements in procurement efficiency, supply chain resilience, and risk management. The paper concludes by highlighting the potential of decentralized procurement frameworks to revolutionize supply chain management across various industrial contexts.

Published by: Patience Sarfo, Jiderechukwu Becky Ogbodo, Kingsley Anyaso

Author: Patience Sarfo

Paper ID: V10I5-1189

Paper Status: published

Published: September 19, 2024

Full Details