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Daily Archives: October 13, 2025

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Digital Security System For Examination Materials

Authors: Poornima, Jenitta J

Abstract: Digital Security system for examination materials is a system designed to prevent unauthorized access to exam papers. This system generates a unique password that is valid only for a single use and for a limited period of time. The system is designed to provide secure access to exam papers to only authorized personnel, such as teachers and invigilators. Digital Security system for examination materials consists of two main components: the server and the client. The server generates and manages the OTPs, while the client is responsible for receiving and verifying the OTPs.When a teacher or invigilator needs to access an exam paper, they must first authenticate themselves using their username and password. Once authenticated, the server generates an OTP and sends it to the client device of the teacher or invigilator. The teacher or invigilator can then use the OTP to access the exam paper. The OTP is only valid for a limited period of time, typically a few minutes, and can only be used once. This means that even if the OTP is intercepted by an unauthorized user, they will not be able to use it to access the exam paper as it will have already expired. The system also logs all access attempts, including successful and unsuccessful attempts. This allows administrators to monitor and track any unauthorized access attempts and take appropriate action if necessary. Overall, an OTP based electronic protection system for exam paper leakage is an effective way to prevent unauthorized access to exam papers and maintain the integrity of the examination process. It provides a secure and reliable way to protect exam papers from leakage and ensures that only authorized personnel have access to them.

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Computer Science & Engineering

The Future Is Cloud: Modernizing Big Data For The Cloud Era

Authors: Khaleel Khan Mohammed

Abstract: Data generation is increasing at an unprecedented pace across industries and the world. The challenge lies not only in storing and managing this massive “big data,” but also in analyzing it to extract meaningful insights. To address this, various methods are employed for data collection, storage, processing, and analysis. This paper provides an overview of the layered architecture of Big Data management and highlights the key challenges within these layers that limit its practical applications across industries. In addition, the study explores different cloud-based architectural models that are designed to support diverse industrial requirements, emphasizing their role in enhancing scalability, flexibility, and efficiency. Furthermore, the paper discusses data migration strategies in detail, outlining how these approaches address the inherent limitations of Big Data systems by enabling seamless transfer, integration, and optimization of data in cloud environments

DOI: http://doi.org/10.5281/zenodo.17339856

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Satellite Internet Technology

Authors: Rani Wadhai, S.V. Raut

Abstract: Satellite internet delivers high-speed global connectivity by utilizing satellites that circle the Earth. Unlike conventional networks that depend on physical cables or cell towers, satellite systems allow for direct communication among users, orbiting satellites, and ground stations, making them particularly useful in isolated and rural regions. This paper outlines how satellite internet functions, the various orbital types (GEO, MEO, LEO), and examines Starlink as a significant breakthrough for reducing latency. It further explores its uses in fields such as education, healthcare, defense, and disaster response, while also addressing important challenges like financial barriers, space debris accumulation, and impacts on night skies. Looking ahead, the integration of satellite internet with forthcoming 6G technology is anticipated to offer more dependable and universal connections worldwide.

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Ecosystem Restoration – Forest Wetlands

Authors: Rajesh Kumar Mishra, Rekha Agarwal

Abstract: Forested wetlands are among the most biodiverse and ecologically significant ecosystems on Earth, providing essential services such as carbon sequestration, water filtration, flood regulation, and habitat conservation. However, these ecosystems have faced widespread degradation due to deforestation, urban expansion, agricultural drainage, and climate change-induced hydrological alterations. The restoration of forested wetlands has become a global priority, requiring an interdisciplinary approach that integrates ecological principles, hydrological engineering, policy implementation, and community engagement. This chapter explores the methodologies, challenges, and future perspectives in the restoration of forested wetlands. Hydrological restoration, including rewetting drained wetlands, reestablishing floodplain connectivity, and removing artificial barriers, plays a fundamental role in restoring wetland functionality. Additionally, native vegetation reintroduction, soil rehabilitation, and biodiversity conservation are key ecological strategies to accelerate natural regeneration. Advanced technologies such as remote sensing, machine learning, and environmental DNA (eDNA) analysis have significantly improved the accuracy of wetland assessment and monitoring, ensuring more effective and adaptive restoration strategies. Despite scientific advancements, several challenges persist, including conflicting land-use priorities, policy gaps, insufficient funding, and the long-term ecological uncertainties of restoration projects. The success of wetland restoration depends on integrated governance, strong environmental legislation, and the active involvement of local and Indigenous communities in conservation efforts. Furthermore, emerging mechanisms such as blue carbon markets and nature-based climate solutions offer financial incentives for large-scale wetland restoration, promoting economic and environmental sustainability. Looking ahead, the future of forested wetland restoration lies in the synergistic application of climate-adaptive strategies, data-driven restoration models, and transboundary conservation policies. A comprehensive and collaborative approach is essential to mitigate the impacts of climate change, reverse wetland degradation, and enhance ecological resilience. By prioritizing science-based restoration methodologies and sustainable policy frameworks, we can ensure that forested wetlands continue to provide their critical ecosystem functions for future generations.

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Neural-Driven Immersive Environments: Merging BCI Through Augmented Reality & Virtual Reality

Authors: Mr. Om Nandkishor Thakare, Prof S. V. Raut, Dr. A. P. Jadhao

Abstract: This research presents the design and development of a Neural-Driven Immersive Environment that combines Brain–Computer Interface (BCI) technology with Augmented Reality (AR) and Virtual Reality (VR) systems. The study aims to create a more natural and interactive way for users to communicate with digital environments using brain signals instead of traditional input devices. The paper explains each stage of development, including signal collection, processing, system design, environment integration, and testing. The proposed model allows real-time interaction, adaptive responses, and personalized experiences by interpreting neural activity. This integration of BCI with AR and VR enhances immersion, reduces physical effort, and opens new possibilities in fields like education, healthcare, and virtual training.

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A Study On Occupational Stress Among IT Sector Employees

Authors: Mr. J. Dhileepan, Dr. S. Maruthavijayan

Abstract: Occupational stress is increasingly recognized as one of the most pressing challenges faced by employees in the Information Technology (IT) sector. The nature of IT work— characterized by long working hours, strict deadlines, high performance expectations, and the constant demand to acquire new technical skills—places employees under persistent psychological and physical strain. Stress of this kind not only hampers individual wellbeing but also adversely affects organizational outcomes such as productivity, employee morale, and staff retention. The present study therefore aims to measure the levels of occupational stress among IT professionals and to examine the key factors contributing to it, including workload, organizational support, break schedules, and work–life balance. A structured questionnaire was distributed to a sample of 200 IT employees, and the responses were analyzed using both descriptive and inferential techniques to establish patterns and correlations. The findings reveal that high workload, inadequate managerial or organizational support, and limited opportunities for rest or relaxation breaks are strongly correlated with elevated stress levels. Younger employees and those with fewer years of experience were found to be more vulnerable to stress, largely due to adjustment challenges and skill-upgrade pressures. The study suggests that organizations should adopt proactive measures such as structured stress-management programs, balanced workload distribution, and fostering supportive work environments to safeguard employee well-being and ensure long-term organizational sustainability.

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Teach Mate AI Agent: A Smart Assistant For Educators

Authors: Mrs. A. Mohanadevi, M. Kabilan, M. Subramaniyan, K.G Sarveshwaran

Abstract: This paper introduces the Teach Mate AI Agent, an intelligent assistant designed to revolutionize the educational workflow by automating time-intensive administrative tasks for educators. The system provides a unified, AI-powered platform that integrates eight comprehensive modules to handle syllabus creation, lesson planning, assessment generation, and resource curation. By leveraging Google's advanced Gemini 1.5 model and a Retrieval-Augmented Generation (RAG) architecture, the agent edagogically sound content while ensuring factual accuracy through user-provided documents. The primary objective is to reduce the administrative burden on educators by up to 90%, thereby enabling them to dedicate more time to student engagement and mentorship. The technology stack includes Python with Streamlit for the front-end, and ChromaDB as the vector database for the RAG system.

DOI: https://doi.org/10.5281/zenodo.17337482

 

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