Category Archives: Uncategorized

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.

Published by: vikaspatanker

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.

Published by: vikaspatanker

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.

Published by: vikaspatanker

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

 

Published by: vikaspatanker

Authors: Sanjay Manikandan, Dr. Bhanu Pratap

Abstract: Despite the rapid growth of the cloud kitchen industry in recent years, many businesses continue to face challenges in ensuring consistent customer satisfaction. As customer experience in this model depends entirely on delivery performance, the efficiency of delivery operations has become a critical determinant of success. This study investigates the impact of delivery efficiency on customer satisfaction in cloud kitchens, examining dimensions such as delivery time, order accuracy, food quality, delivery personnel behaviour, app/platform reliability, and cost of delivery. The literature review strongly supports the role of these variables in shaping consumer perceptions and loyalty. A conceptual framework linking delivery efficiency and customer satisfaction is developed from a comprehensive review of prior research, with hypotheses designed to empirically assess these relationships within the Bengaluru market context. Existing studies have not developed a holistic model of customer satisfaction that simultaneously incorporates both operational and technological factors influencing food delivery outcomes. This study advances the literature by proposing an integrated conceptual model that connects operational efficiency with customer experience, offering a structured understanding of how delivery performance affects satisfaction and retention. The framework provides meaningful insights for both scholars and practitioners, demonstrating how timely service, accuracy, and platform reliability collectively enhance the perceived value of cloud kitchen services. It also holds practical significance for managers seeking strategies to improve delivery reliability, optimize resources, and strengthen customer relationships in a highly competitive digital food ecosystem. Overall, this research aims to provide new perspectives on how operational, technological, and human factors jointly drive satisfaction in the food delivery. industry. It emphasizes the importance of aligning efficiency with service quality to sustain long-term competitiveness. The findings can help cloud kitchen operators design delivery systems that reduce operational lapses, improve reliability, and build stronger customer trust and loyalty.

Published by: vikaspatanker

Authors: J Shiva Kumar

Abstract: The growing demand for urban flyovers has intensified the need to evaluate their economic and environmental sustainability. This paper presents a comprehensive sustainability assessment of a reinforced concrete (RCC) flyover using Life Cycle Cost Analysis (LCCA) and Carbon Footprint Analysis (CFA). The study covers all major life-cycle phases— construction, operation, maintenance, and end-of-life—using a cradle-to-grave approach. Material quantities were obtained from STAAD.Pro modeling, while emission factors were derived from the Indian Life Cycle Inventory Database. The results indicate that cement and steel contribute more than 70% of total CO₂ emissions, while maintenance activities account for 25–30% of life-cycle costs. Incorporating 30% Ground Granulated Blast Furnace Slag (GGBS) replacement in concrete reduced total emissions by 22% and costs by 11%. The proposed framework offers a quantitative basis for integrating sustainability considerations into future flyover design and construction.

 

 

Published by: vikaspatanker

Authors: Sanket L. Jaiswal, Prof .D. G. Ingale, Dr. A. P. Jadhav, Prof. S. V. Raut, Prof .S. V. Athawale, Dr.D.S.Kalyankar, Prof. R. N. Solanke

Abstract: In today’s digital world, cybersecurity is more important than ever for individuals, businesses, and governments. To protect networks from attacks, security experts often use footprinting and scanning, which are part of the first step in ethical hacking. Footprinting means collecting information about a target system, while scanning involves checking the system for active devices, open ports, and possible weaknesses. This paper explains different techniques and tools for footprinting and scanning, discusses their importance in cybersecurity, and proposes a framework to make these processes more efficient and safe. Ethical and systematic reconnaissance can help organizations strengthen their security and prevent attacks before they happen.

DOI: https://doi.org/10.5281/zenodo.17312928

 

Published by: vikaspatanker

Authors: Abhijit Kakoty

Abstract: This paper explores the core conflicts between blockchain technology and the Digital Personal Data Protection (DPDP) Act, 2023, examines the challenges that may arise during blockchain-based implementations, and considers the potential optimistic outcomes emerging from their interaction. Regular challenges faced during implementation of blockchain based application are well documented while the challenges that can be seen after DPDP act comes in to force, such as evolving interpretations of joint controllership and new advisory opinions. This paper aims to explore the synergies between blockchain technology and compliance with the Digital Personal Data Protection (DPDP) Act. By identifying key areas where actionable frameworks—leveraging emerging technologies such as chameleon hashes and zero-knowledge proofs—can be applied, it offers a forward-looking perspective on how blockchain systems can be aligned with the principles and requirements of the DPDP Act. It further contributes a strategic theoretical pathway for aligning decentralized architectures with evolving data protection norms.

DOI: https://doi.org/10.5281/zenodo.17310368

 

Published by: vikaspatanker

Authors: Mrs.R.Aruna, AP / IT, I.Hari Haran, P.A Manikandan, J.Mohamed Farees

Abstract: Effective communication between sign language users and non-signers remains a significant challenge in education, workplaces, and daily life. To address this issue, a Bi-Directional Sign Language Translation System is proposed, leveraging advanced computer vision techniques (OpenCV, Mediapipe), deep learning frameworks (TensorFlow/Keras), and Natural Language Processing (NLP) algorithms. The system provides real-time translation of sign gestures into text or speech, and conversely, converts text or voice into dynamic animated sign language. Furthermore, multilingual Text-to Speech (TTS) integration ensures clear and natural voice assistance, enhancing accessibility across diverse communities. Implemented with scalable technologies such as Python, Flask, and React.js, the platform ensures low latency, high performance, and ease of use. By combining gesture recognition, neural networks, and speech synthesis, this system promotes inclusivity and empowers individuals with hearing or speech impairments to participate fully in modern communication environments.

DOI: http://doi.org/10.5281/zenodo.17309992

Published by: vikaspatanker

Authors: Abhishek, Nisha, Suman Chandila

Abstract: Java remains one of the most widely used programming languages in modern software development due to its platform independence, robust frameworks, and extensive ecosystem. However, the prevalence of Java in both web and enterprise applications also makes it a high-value target for cyberattacks. This paper provides an in-depth analysis of the most critical security vulnerabilities inherent in Java applications, with a focus on common attack vectors such as injection attacks, insecure deserialization, and cross-site scripting (XSS). It also delves into the growing threat of vulnerabilities in third-party libraries, remote code execution (RCE), and insufficient authentication mechanisms. Through a detailed examination of real-world incidents, including notable CVEs such as the Log4j vulnerability (CVE-2021-44228) and the Apache Struts exploit (CVE-2017-5638), the study highlights patterns and trends in the exploitation of Java-based systems. This research identifies the root causes of these vulnerabilities, emphasizing the importance of secure coding practices, proactive patch management, and the implementation of robust security mechanisms like secure authentication and encryption. Furthermore, the paper explores effective mitigation strategies for developers, including the use of security testing tools, static and dynamic application security testing (SAST/DAST), and secure software development life cycle (SDLC) integration. Recommendations are provided for improving security posture at both the code and architectural levels, offering best practices for reducing exposure to attacks. By addressing emerging threats, such as the rise of cloud-based Java applications and the need for post-quantum cryptography, this paper provides valuable insights for securing Java applications against present and future security challenges

DOI: http://doi.org/10.5281/zenodo.17310113

Published by: vikaspatanker