Enhancing Solar PV Plant Performance with Digital Twins: Leveraging Data Science and AI for Real-Time Analysis.
As solar power continues to be a crucial element of the global shift towards renewable energy, improving the performance of solar power plants becomes important. Various sensors installed on solar panels, inverters, and other equipment produce data, which is then integrated to create a virtual model, the digital twin, that reflects the solar power plant’s operational behavior. For precise representation and control, the system dynamically models the actions of the plant by integrating MATLAB-simulink simulations. Furthermore, fault detection is achieved using Neural Networks, Adaboost, Naïve Bayes, and Decision Trees. This unification of AI-based Digital Twins with energy generation prediction and forecasting, fault detection, and corrective maintenance technologies amplifies solar power plants' operational efficiency, reliability, and sustainability.
Published by: Tanmay Mane, Arpita Kulkarni, Anurhuta Kulkarni, Omkar Shrotri, Dr. Sinu Nambiar, Prof. Sonali Potadar
Author: Tanmay Mane
Paper ID: V11I1-1394
Paper Status: published
Published: February 27, 2025
Gig Labor Market Dynamics – A Case Study on Challenges of Gig Economy in Tamil Nadu
The gig economy is a marketplace where individuals take temporary/contingent jobs at organisations or work as freelancers. It is a booming sector but has remained an unregulated space on a larger scale. Given the nature of their role, they do not maintain a stable relationship with their clients and management and are always open to risk. With the rise of internet users and city growth via investment and urbanisation, Gig workers and their services have become a crucial part of our rapid lives. With the amount of effort, risks, and complexities the Gig workers face in their day-to-day operations, their plight must be considered. In this study, we are focused on understanding and highlighting the challenges of Gig workers. We are trying to work towards addressing an enduring version of the Gig economy, which can help its participant maintain a primary source of income from their gigs. It requires the digital infrastructure, standardized policies, legislations, and corporate work structure to be improved to create space and viability for this growing sector. The research will collect data on real-time Gig workers by understanding their experiences, challenges, social-security requirements, and technological assistance in operations. It is necessary to build on the available secondary data by identifying the areas for improvement in this sector. The study is looking for a scope for improvement in the current framework to result in an environment where the gig economy can thrive and become a perennial source of employment.
Published by: Shikhar Sinha, Rashi K
Author: Shikhar Sinha
Paper ID: V11I1-1392
Paper Status: published
Published: February 27, 2025
Noise Pollution and its Impact on the Environment
The fact we live in advanced and industrialized societies, or progress and industrialization, although these advances have led to the well-being of human beings, they have also caused a series of problems, such as water, air, and soil pollution. We can also say that the pollution of air, soil, and water has a direct or indirect adverse effect on humans or other creatures, which means that if the air, soil, or water is polluted, it will cause various diseases, but if the air If the water and soil are smooth and in their natural state, the damage that is caused by the effect of so much pollution on the creatures will never be faced. Here we are discussing a part of air pollution which is noise pollution, which governments noticed in the past, but with the development of industry and the creation of efficient means of social life, this issue has attracted a lot of attention from governments. And the governments have tried nationally and internationally to limit this phenomenon. In this research, we were reminded about pollution, air pollution and noise pollution, noise pollution, problems and diseases that arise from noise pollution, and the purpose of this research is to provide better conditions for life and evaluate noise pollution, as well as the national rules and The international convention that was created by governments or international organizations to prevent noise pollution, noise pollution that has direct and indirect effects on the environment and human health should be taken into consideration. As a result, noise pollution is considered a serious problem for humanity and other species of this land, even though governments and international organizations have worked to regulate this phenomenon to some extent, they have created rules and principles, but until these principles and rules are not implemented seriously, creating rules will be a waste of time.
Published by: Masouda Ahmadabadi
Author: Masouda Ahmadabadi
Paper ID: V11I1-1404
Paper Status: published
Published: February 27, 2025
Review, Tutorials and Introduction to Cloud Platforms for Agentic GenAI: A Comparative Studies
This paper presents a comparative analysis of leading cloud platforms for Generative AI applications. We evaluate performance, scalability, cost, and ecosystem support for AI workloads. The rapid evolution of generative artificial intelligence (AI) has significantly increased the demand for scalable and robust cloud infrastructure. This paper presents a comparative analysis of major cloud platforms, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), focusing on their capabilities to support generative AI applications. We examine key aspects such as infrastructure scalability, cost efficiency, and the availability of specialized AI services. Furthermore, we discuss the importance of well-architected frameworks and best practices for deploying scalable AI solutions. The paper also explores the strategic collaborations and advancements in supercomputing infrastructure that are driving the future of generative AI. Generative AI (GenAI) is rapidly transforming various industries, demanding scalable and cost-effective infrastructure. Cloud platforms like Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and Oracle Cloud Infrastructure (OCI) are vying to provide the necessary tools and services. This literature review examines recent publications and articles discussing the capabilities, architectures, and cost considerations of these platforms in the context of GenAI application development and deployment. We categorize these resources based on their focus: (1) comparative analyses of cloud platforms, (2) GenAI infrastructure and application development, (3) Retrieval-Augmented Generation (RAG) solutions, and (4) scalability and cost optimization strategies. This review aims to provide a comprehensive overview of the current state of GenAI in the cloud, highlighting the strengths and weaknesses of each platform and identifying key trends and challenges.
Published by: Satyadhar Joshi
Author: Satyadhar Joshi
Paper ID: V11I1-1395
Paper Status: published
Published: February 25, 2025
A Proposal to Innovate The Design of the Sudanese Vehicle Number Plates
Vehicle number plate display and recognition have been a lawful concern in all countries. Research into improving the quality of plates has been an interesting and challenging task. It is shown that the plates have different shapes and sizes and have assorted colours in different countries. In Sudan, the recent plates are of a white background with black text and numbers written in English and Arabic. This study proposes an innovative plate design that considers regional and international standards. The attempt incorporated the Sudanese flag, reduced the letter crowding and noise, enlarged the font and improved contrast, kept Arabic numbers, excluded the Indian numbers and included a logo for branding the plate. The study has considered both theoretical mathematical and experimental approaches. However, it is commissioned to facilitate the electronic identification of the plate, which is an issue. The experimental component proved a sizable visual difference between the old design and the proposed innovative design. Mainly assembled in two steps; firstly, the plate is visually identifiable from a longer distance than the existing plate; secondly, the segmentation allows a sustainable, better electronic recognition.
Published by: Galal Mohamed Ismail, Zoelfiqar Dafalla Mohamed, Jamal Uthman Nogoud, Nadir Kamal Salih Idries
Author: Galal Mohamed Ismail
Paper ID: V11I1-1350
Paper Status: published
Published: February 25, 2025
Realizing a Fully Functional CPU Using Multi-Layer Perceptrons
This research paper extends our previously introduced concepts of a multi-layer perceptron (MLP)-based CPU. We present exhaustive details on every facet of the design, from historical motivations and theoretical underpinnings to transistor-level implementations, advanced pipeline structures, memory hierarchies, and future-looking innovations such as approximate perceptron logic or on-chip training. While historically, threshold logic was overshadowed by the dominance of CMOS gate-level designs; this paper demonstrates that a fully perceptron-based CPU—dubbed IC 616 Ultra-MLP—can theoretically implement all standard computing tasks by assigning appropriate weights and biases to arrays of threshold units. We thoroughly analyze potential advantages, substantial challenges, and the interplay between neural and digital paradigms. This paper aims to be an exhaustive reference for researchers, students, and architects intrigued by bridging neural networks and CPU design in the most literal sense.
Published by: Adarsh Keshri
Author: Adarsh Keshri
Paper ID: V11I1-1380
Paper Status: published
Published: February 21, 2025
