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319 articles for “security management”
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Fingerprint-Based Attendance Monitoring System Using Arduino
Abstract: This system uses Arduino to enable an attendance monitoring system through the use of fingerprints. The system guarantees effective, safe and automated recording of attendance with biometric scanning. It lessens mistakes because of automatic marking, keeps absentee proxies out and reports the final results instantly. When a fingerprint scan is successful, the system automatically records attendance by comparing it with biometric data that has been recorded. Effective monitoring and reporting …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 1, 2026 · pp. 9–16 Read article
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IoT-Based Industrial Safety Management Systems
Abstract: The integration of the Internet of Things (IoT) in industrial safety management has transformed workplace safety by enabling real-time monitoring, predictive analytics, and automated hazard mitigation. IoT-Based Industrial Safety Management Systems utilize interconnected sensors, wearable devices, and intelligent analytics platforms to proactively detect and respond to potential risks in high-risk environments such as manufacturing, oil and gas, and construction. These systems continuously monitor critical safety parameters, including temperature, pressure, gas …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 18–22 Read article
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Detection of Weapons and Alert System in ATM
Abstract: In contemporary society, the prominence of security and safety has become a significant apprehension. Every day, both stores and banks fall victim to robberies, and the frequency of such incidents is progressively increasing. The assurance of public safety has emerged as a crucial matter in the present era, particularly considering the escalating global security concerns. Considering the advancements in computer vision technologies, the utilization of You Only Look Once (YOLO) …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 1, 2024 · pp. 20–24 Read article
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SMART HOSPITAL MANAGEMENT SYSTEM:USING CLOUD, IOT & WEB DEVELOPMENT
Abstract: The Smart Hospital Management System (SHMS) leverages cloud computing, Internet of Things (IoT) technologies, and web development to address the inefficiencies in healthcare management, particularly in the context of the COVID-19 pandemic. With India’s doctor-to-patient ratio below WHO standards, there is a need for innovative solutions to enhance patient care and hospital resource management. This system integrates SpO2, temperature, and ECG sensors with the Raspberry Pi, enabling continuous and real-time …
Published in Journal of Telecommunication, Switching Systems and Networks Read article
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Smart Home Automation Systems: AI Approaches for Monitoring and Reducing Power Consumption
Abstract: This study comprehends a Bluetooth controlled home automation system that users can control remotely through a specific Android platform. Technology advancements lead to homes that acquire greater intelligence. Remote-controlled switches continue replacing standard wall switches because they operate as part of system-wide central control gear in contemporary homes. Today's users must operate wall-mounted manual switches in every room of the house. Members of both these populations face an additional obstacle …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 10–17 Read article
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Recent Advances and Future Prospects in Digital Twin Technology for Battery Management Systems of Electric Vehicles
Abstract: Digital twin technology in battery management systems (BMS) for electric cars (EVs) represents a major development in the automotive industry. Digital twins provide predictive maintenance, modelling, and real-time monitoring by creating virtual copies of real-time monitoring, actual battery systems. This paper describes the functional components, architecture, and design of Digital Twin technology along with how it may be included into BMS. Emphasizing how consistent data flow from sensors improves battery …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 2, 2025 Read article
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Federated Learning for Energy Management in Next Generation Smart Cities
Abstract: Federated learning has emerged as a promising approach for addressing the challenges of energy management in next-generation smart cities. This decentralized approach to machine learning allows collaborative model training among distributed data sources, while safeguarding data privacy and security. In this study, we explore the application of federated learning techniques to optimize energy consumption, enhance grid stability, and promote sustainability in smart city environments. By aggregating data from diverse sources …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 1, 2024 · pp. 19–27 Read article
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IoT and Node MCU based Smart Logistics
Abstract: Logistics plays a key role in global economies, encompassing the planning, implementation, and control of goods movement. Traditional logistics systems often suffer from inefficiencies, such as manual tracking, delays, and lack of real-time visibility, leading to increased costs and environmental waste. The advent of IoT has revolutionized this sector by enabling interconnected devices to gather and argument data seamlessly. At the heart of many IoT applications is Node MCU. It …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 2, 2025 · pp. 38–50 Read article
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A Meta-Analysis of the Role of Serverless Computing Models in Modern e-Healthcare Systems
Abstract: The integration of serverless computing models in e-healthcare systems represents a paradigm shift in healthcare technology infrastructure. This meta-analysis examines the role, benefits, and challenges of serverless architectures in modern healthcare applications, focusing on studies published between 2019 and 2025. Serverless computing offers unprecedented scalability, cost-efficiency, and operational flexibility, making it particularly suited for healthcare applications handling variable workloads such as medical imaging processing, real-time patient monitoring, and electronic health …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 3, 2025 · pp. 49–58 Read article
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The Next Era of Nuclear Engineering: Beyond Fission
Abstract: Nuclear engineering is going through a big change as new technologies strain the limits of classical fission-based power generation. This article talks about the future generation of nuclear technologies, such as new reactor designs, small modular reactors (SMRs), and the growing potential of nuclear fusion. It looks at how these changes are meant to make nuclear energy safer, use less fuel, and create less long-lived radioactive waste, which are all …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 35–41 Read article
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Ebola Vaccination: From Outbreak Control to Global Preparedness
Abstract: Ebola virus disease (EVD) is one of the most dreadful and lethal viral infections, continuously generating threatening impacts on the health of the global population, especially in low-resource environments. This review provides an overview of Ebola vaccines, focusing on virology, vaccine development, clinical trials, regulatory approval, deployment plans, and ethical issues. Recombinant viral vector platforms have seen the development of successful vaccines, with the most prominent example being rVSV-ZEBOV, which …
Published in International Journal of Vaccines · Vol. 3, Issue 1, 2026 · pp. 27–37 Read article
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Java’s Enduring Popularity: Unraveling the Factors Behind Its Preference
Abstract: Java remains one of the most widely used programming languages across various industries, owing to its robust architecture, platform independence, and extensive ecosystem. Its versatility, scalability, and security make it a preferred choice for developing a wide range of applications, from enterprise software to mobile and web solutions. This study delves into the key factors contributing to Java’s sustained relevance in software development, highlighting its adaptability to evolving technological trends. …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 8–15 Read article
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Blockchain-Based Smart Agri-Food Supply Chain Management System with User-Centric Design for Enhanced Consumer Trust
Abstract: Existing blockchain-based solutions for agri-food supply chains primarily focus on internal traceability and efficiency while neglecting consumer-facing functionalities. Building consumer trust requires not only a secure and transparent supply chain but also user-friendly interfaces for easy access to product information and journey tracking. This study addresses this gap by implementing a blockchain-based agri-food supply chain system with a user-centric design. Beyond internal transparency, the system features an intuitive consumer interface …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 Read article
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Livestock and Rural Livelihoods: Nutritional, Economic, and Environmental Pathways to Sustainable Development
Abstract: Livestock play a pivotal role in sustaining rural livelihoods by contributing to economic stability, social empowerment, and environmental resilience. This study explores the diverse functions of livestock in rural communities, focusing on their contributions to income generation, food security, nutrient cycling, and cultural practices. Livestock provide essential goods such as milk, meat, eggs, and fiber, which not only enhance household nutrition but also generate revenue for millions of rural families. …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 2, 2025 · pp. 40–56 Read article
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Exploring the Bourne Again Shell (Bash)
Abstract: The Bourne Again Shell (Bash) is a popular command-line interpreter and scripting language, created as a free software alternative to the original Bourne Shell (sh). Developed as part of the GNU Project, Bash extends the functionality of its predecessor by incorporating features from the C Shell (csh) and KornShell (ksh), making it more versatile and powerful. Bash offers robust command-line editing, job control, and support for functions and variables, enabling …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 1, 2025 · pp. 01–09 Read article
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Artificial Intelligence in Cybersecurity: Emerging Trends, Technological Advancements, and Future Directions for Cyber Defense
Abstract: Artificial Intelligence (AI) is revolutionizing the field of cybersecurity by automating complex security tasks, improving threat detection capabilities, and enhancing the precision of threat response mechanisms. With the rapid evolution of cyber threats such as malware, ransomware, phishing, and data breaches, conventional security systems are often insufficient to provide timely and accurate protection. AI, powered by machine learning algorithms and neural networks, enables the analysis of vast datasets to detect …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 103–112 Read article
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Quality of Life of Rag Pickers in Mysuru City: A Case Study
Abstract: The purpose of this research paper is to examine the socio-economic conditions and quality of life of rag pickers in Mysuru City. Informal waste management is significantly impacted by rag pickers, who are among the most marginalized urban populations. Despite their important contributions, they are subjected to poor living conditions, a lack of social security, and significant health risks. This study employs both qualitative methods to analyze the challenges faced …
Published in International Journal of Rural and Regional Development · Vol. 3, Issue 2, 2025 · pp. 1–4 Read article
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Crop Disease Prediction by Machine Learning
Abstract: The classification of Crop can be classified into several methods. The data set of crop leaf illnesses, notably Bacterial Leaf Blight disease (BLB), a crop leaf disease with significant outbreaks throughout Thailand, and Brown Spot Crop disease (BSR), is classified employing image classification in this study. Additionally, image processing technology is used for identifying different types of crop leaf disease. These algorithms include the Random Forest, Decision Tree, Gradient Boost, …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 21–25 Read article
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Smart Attendance System Using Face Recognition with OpenCV
Abstract: In the past, the conventional method of recording student attendance relied heavily on teachers manually marking entries in a physical register. While simple, this approach is not only time-consuming but also highly vulnerable to errors such as accidental omissions, incorrect entries, or even malpractice in the form of proxy attendance. Moreover, traditional registers lack real-time accessibility, making it difficult to analyze or monitor data instantly. To address these limitations, modern …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 30–39 Read article
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Blockchain Technology: Comprehensive Review and Future Directions
Abstract: Blockchain technology has emerged as a transformative power, restructuring sectors by offering increased security, transparency, and decentralization. This research paper serves as a comprehensive examination of blockchain, aiming to dissect its intricate structure, explore its myriad applications, confront existing challenges, and envision future advancements. At its core, the problem addressed herein is the imperative to comprehend the present landscape of blockchain technology, discern its limitations, and chart a course toward …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 33–38 Read article