| 1 |
Author(s):
Ravi Kumar.
Research Area:
Electrical Engineering
Page No:
1-8 |
Design and Implementation of a Solar Panel Tracking and Protection System Using Arduino and Sensor Integration
Abstract
This paper presents the design and implementation of a single-axis sun tracking and protection system aimed at improving the efficiency and longevity of photovoltaic (PV) panels. The system utilizes Light Dependent Resistors (LDRs) and airflow sensors to adjust the orientation of the PV panels, ensuring they are always positioned to face the direction of maximum solar irradiation. This alignment optimizes energy absorption, thus enhancing system performance. Additionally, the system incorporates a protective feature that adjusts the panel orientation in response to harsh winds. By aligning the panels parallel to the wind direction, the system minimizes potential damage to the PV modules.
The algorithm governing the system operates in two modes: solar tracking and solar protection. Under normal weather conditions, the system prioritizes solar tracking, continuously adjusting the panel orientation to maximize sunlight exposure. However, when the system detects the onset of strong winds, the algorithm switches to the protection mode, temporarily halting solar tracking and repositioning the panels to mitigate wind damage.
This paper elaborates on the design principles, sensor integration, and algorithm development behind the system. It also discusses the potential benefits of combining sun tracking with environmental protection, leading to improved efficiency during favorable weather and enhanced durability under extreme conditions. The system aims to provide a sustainable solution for optimizing PV performance and safeguarding panels in varying environmental scenarios.
| 2 |
Author(s):
Prakash Walhekar.
Research Area:
Computer Engineering
Page No:
9-17 |
Development and Implementation of an Online Attendance Management System: Advancements, Benefits, and Challenges
Abstract
The Online Attendance Management System is a web-based application designed to simplify and automate the process of tracking and managing attendance in educational institutions, organizations, or events. Traditional methods of attendance management are often time-consuming and prone to errors, which this system aims to address. It offers an efficient, user-friendly solution for recording and monitoring attendance, featuring real-time updates, role-based access, and automated reporting.
This system enables instructors, administrators, and students to interact with a centralized platform, where teachers can mark attendance manually, or through biometric or QR code scanning. Key features include leave management, attendance analysis, and automated notifications for both students and staff. The system also provides a secure database for storing and retrieving attendance records, ensuring the integrity and privacy of the data.
By incorporating modern technology, the Online Attendance Management System eliminates the need for paper-based registers, reduces the risk of human error, and ensures that attendance data is always up-to-date and easily accessible. This solution enhances the efficiency and accuracy of attendance tracking, making it an ideal tool for both educational institutions and businesses.
| 3 |
Author(s):
Dr. Arjun Reddy.
Research Area:
Computer Engineering
Page No:
18-25 |
Digital Transformation: Using Technology to Reshape Industries
Abstract
Digital transformation has become a powerful force reshaping industries across the globe, fundamentally altering how organizations operate, compete, and deliver value. This in-depth analysis explores the wide-ranging impact of digital transformation, focusing on key technological drivers such as real-time analytics, edge computing, automation, and cloud infrastructure. It examines the transformative effects of these innovations across various sectors, with particular attention to energy, manufacturing, and healthcare, where traditional processes and operational models have been revolutionized. The paper also addresses the implications for the workforce, highlighting changes in job markets, new opportunities, and the urgent need for reskilling in the digital era. Looking ahead, it explores the future of business competitiveness, the integration of sustainability, and offers strategic recommendations for organizations navigating the digital landscape. The findings underscore that digital transformation is not just about adopting new technologies but also about reimagining business models, enhancing customer engagement, and creating new value propositions.
| 4 |
Author(s):
Vivek Singh.
Research Area:
Computer Engineering
Page No:
26-34 |
Integrated Strategies for Efficient Data Management in NoSQL Databases
Abstract
As data volumes continue to grow at an exponential rate, managing and storing this data efficiently has become increasingly crucial. NoSQL databases, with their ability to handle unstructured data, have emerged as a preferred solution, offering superior scalability and flexibility compared to traditional relational database management systems (RDBMS). Techniques such as deduplication (eliminating duplicate data) and data compression, when combined with powerful tools like Hadoop and MongoDB, help optimize storage and reduce network usage.
However, a key challenge in both NoSQL and SQL systems is managing schema evolution—adapting the database schema as application requirements change. This process introduces risks of downtime, data inconsistency, and disruptions to ongoing operations. The lack of a standardized approach to schema evolution often leads to inefficient management, particularly as systems scale.
This paper reviews current methods used to address these challenges and highlights gaps in existing solutions. While some strategies attempt to automate schema changes or handle schema migrations in a way that reduces disruption, they often fall short in ensuring seamless transitions and maintaining data integrity. The paper proposes an integrated approach to schema management that combines the strengths of both NoSQL and SQL systems. By enhancing schema migration processes and focusing on consistency and downtime reduction, this approach aims to improve overall data management, providing a more reliable and efficient solution across diverse database environments.
| 5 |
Author(s):
Dr. Priya Sharma.
Research Area:
Computer Science
Page No:
35-46 |
Transforming Banking through Artificial Intelligence: Enhancing Service, Efficiency, and Security for the Digital Age
Abstract
This article examines the transformative role of Unified Communications (UC) in the banking sector, focusing on enhancing customer experience and improving operational efficiency. It explores how AI technologies, such as machine learning, natural language processing (NLP), and computer vision, are revolutionizing banking operations by streamlining service delivery and boosting productivity. These technologies enable advanced customer service solutions, such as personalized banking experiences and virtual assistants, which enhance accessibility for diverse populations.
The article also highlights key challenges in implementing AI, including regulatory compliance, data security, and change management. It discusses how banks are navigating these issues while integrating AI systems to improve both customer service and internal operations. Notably, the use of personalization engines has significantly boosted customer satisfaction, while AI-driven automation has improved team collaboration and resource management.
Looking to the future, the article explores emerging technologies such as quantum computing and edge computing, which are expected to further advance the banking sector’s capabilities. These innovations, combined with next-generation communication technologies, promise to reshape how banks deliver services and interact with customers. The article underscores the growing importance of AI and UC in driving both customer-centric solutions and operational advancements in the banking industry.
