Search
603 articles for “security system”
-
Crystalline and Polymeric Interactions in Multi- layered Bulletproof Glass: A Study of Ballistic Resistance and Structural Integrity
Abstract: Bulletproof glass is engineered to withstand high-impact projectiles, offering a critical line of defense in various industries such as banking, military, and armored vehicles. This study explores the structural composition, energy absorption mechanisms, and performance characteristics of bulletproof glass when exposed to ballistic threats. The glass consists of layered constructions, often involving polycarbonate and adhesive interfaces such as polyvinyl butyral, which enhance its energy absorption and resistance to projectiles. The …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 2, 2024 · pp. 10–17 Read article
-
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
-
Advancements and Challenges in Automated Guided Vehicles for Smart Industrial Automation
Abstract: Automated Guided Vehicles (AGVs) are increasingly central to modern industrial automation, enhancing operational efficiency in manufacturing, warehousing, and logistics. Traditionally reliant on fixed paths using magnetic tapes or wired tracks, AGVs were limited in flexibility. However, recent technological advances have enabled the development of autonomous AGVs equipped with sensor fusion, LiDAR, computer vision, and artificial intelligence (AI). These features support real-time obstacle detection, dynamic path planning, and robust performance in …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 1–5 Read article
-
Deep Learning-Enhanced Polymer-Based Wearable Biosensors for Continuous Health Tracking via IoT
Abstract: The rapid proliferation of wearable biosensor technologies has transformed approaches to real-time health monitoring, yet challenges persist in achieving both mechanical robustness and reliable, continuous data analytics in dynamic environments. Conventional polymer-based sensing systems often fall short due to limited signal fidelity, inadequate adaptive analytics, or insufficient integration with secure, low-latency IoT frameworks. Addressing these deficiencies, this work introduces a flexible, deep learning-enhanced wearable biosensor platform that combines a nanostructured …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 18–31 Read article
-
Automated Car License Plate Detection and Recognition Using Deep Learning
Abstract: The use of automated license plate detection and recognition (ALPR) systems to automate processes such as number plate detection is gaining popularity in traffic control, security, and law enforcement. This research focuses on achieving more accurate and efficient detection and recognition of number plates by leveraging deep learning techniques. The systems outlined in this study aim to improve the effectiveness of ALPR systems using advanced convolutional neural networks (CNNs) and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 23–29 Read article
-
A Secure Storage Model with Authentication and Optimal Key Generation Based Encryption
Abstract: In digital forensics, ensuring the secure storage of digital evidence is crucial. This paper introduces a new method that uses advanced encryption and key generation techniques to protect digital evidence throughout an investigation. Cloud forensics, a modern approach to digital forensics, aims to safeguard evidence from online hacking. However, storing all evidence in one central location can reduce its reliability. To address this, we propose a digital forensics architecture for …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 7–13 Read article
-
Biomedical Monitoring, IoT in Hospital Industry: Focusing on Solidification of Data Security and Privacy of Patients
Abstract: Improving the security of internet of things (IoT) communication and ensuring the safety of intelligent healthcare systems are significant objectives for biomedical microelectromechanical systems (BioMEMS). BioMEMS, which are at the cusp of healthcare and cutting-edge technology, propel the creation of tailored monitoring, therapeutics, and diagnostics. But because of the intricate security and privacy issues that come with IoT connections in smart healthcare ecosystems, a careful analysis is required. Various security …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 1, 2024 · pp. 26–29 Read article
-
Quick Reach Alert System
Abstract: This project presents the design and implementation of a compact and low-cost GPS tracking system using the A9G module. The system is capable of tracking real-time location, sending emergency alerts, and providing audio surveillance. It includes an SOS button that, when pressed, immediately sends the user’s current GPS location via SMS to a predefined phone number. Additionally, the system allows remote audio monitoring through a microphone connected to the A9G …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 34–40 Read article
-
AI and Big Data for Optimized Water Resource Management in Arid Regions
Abstract: Water scarcity in arid regions is an escalating global challenge, driven by climate change, population growth, and increasing demands from urban, industrial, and agricultural sectors. Effective water resource management (WRM) is crucial for sustaining livelihoods, economic stability, and infrastructure resilience. Emerging technologies such as artificial intelligence (AI), machine learning (ML), and big data offer innovative solutions for optimizing water use, enhancing efficiency, and improving sustainability in water-scarce environments. This paper …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–5 Read article
-
Adaptation Strategies for Climate- Resistance Aquaculture: Insight from farmed fish
Abstract: As global climate change threatens food security, particularly regarding the vital protein source of fish, innovative strategies such as climate smart aquaculture emerge as critical solutions. This approach emphasizes the cultivation of climate-resilient fish species capable of thriving in changing environmental conditions. By integrating air-breathing species like the Pangasius catfish and the Giant Snakehead, aquaculture industries can bolster local economies while mitigating environmental risks. However, successful implementation requires careful consideration …
Published in International Journal of Marine Life · Vol. 1, Issue 1, 2024 · pp. 29–34 Read article
-
Historical Reflection on the Imperative of Security Sector Reform (SSR) in A Democratic Society
Abstract: The end of Cold War heralded “Hot Peace” into the international system. Before then, people thought that the conclusion of the Cold War would bring about a lasting peace on a global scale. However, this noble aspiration was not 1a be s- September-il, amply and—brutally demonstrated besides, the increasing wave of terrorism. Global democratization efforts brought about the end of the Cold War. People all across the world took advantage …
Published in International Journal of Trends in Humanities · Vol. 1, Issue 2, 2024 · pp. 09–18 Read article
-
A Review of Machine and Deep Learning Techniques for Cyber Security
Abstract: Nowadays in the digital landscape, cyber threats and attacks are increasing in an exponential manner, posing server risks to organizations and critical infrastructures. Data breaches often result from sophisticated threat models that exploit vulnerabilities in networks, systems and user behaviors. Cyber solutions are increasingly incorporating machine learning and deep learning to prevent and mitigate these security issues. These technologies have the potential to detect anomalies, classify threats and predict potential …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 01–07 Read article
-
Enhanced Shell Script Optimization Techniques for Low-latency Automation in DevOps Environments
Abstract: Shell scripting remains a foundational component in system administration and DevOps automation, providing a straightforward yet powerful method for automating tasks, managing system configurations, and integrating seamlessly within continuous integration and continuous delivery (CI/CD) pipelines. These scripts serve as the backbone for many repetitive and complex tasks, enabling IT teams to execute workflows efficiently without manual intervention. As organizations continue to scale their infrastructure and adopt more complex architectures, the …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 3, 2024 · pp. 1–5 Read article
-
Artificial Intelligence for Real-time Water Management
Abstract: Effective water management is vital for sustainable development, requiring the strategic allocation and utilization of water resources to satisfy the diverse demands of agriculture, industry, and households. Traditional methods are increasingly inadequate due to escalating challenges from climate change and population growth, which amplify water scarcity and distribution issues. To overcome these challenges, we need innovative solutions. Artificial intelligence offers significant potential in revolutionizing realtime water management through advanced techniques …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 13–20 Read article
-
Role-Based Online Food Ordering and Delivery System Using Django and Restful Architecture
Abstract: Traditional food ordering processes in restaurants rely heavily on manual interactions, including in- person ordering, phone-based bookings, and unstructured coordination between customers, restaurants, and delivery personnel. These approaches lead to inefficiencies such as delayed order processing, incorrect order handling, lack of real-time tracking, and poor coordination among stakeholders. Although modern applications exist, many academic implementations lack modular architecture, role-based access control, and scalable backend design. This paper presents the design …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 Read article
-
Surveillance Drone
Abstract: In today's society, surveillance is becoming increasingly important in order to maintain a place's decorum and assure the safety and security of its inhabitants. In this case, an aerial monitoring system will be beneficial. This study explains how an unmanned aerial vehicle (drone) can be used to create an aerial surveillance system. We begin by describing the elements of our airborne surveillance system, followed by a discussion of some of …
Published in Recent Trends in Programming languages Read article
-
When Light Talks The Realm of Opto-Electronic Communication
Abstract: The basic principles of opto-electronics systems are discussed. In these systems the electrical signals are changed to optical signals for high speed and long distance communication and then converted back to electrical form at the receiver. This study underscores the essential elements including light sources, optical fibres, modulators, and photodetectors that facilitate the effective transmission of information with less loss and interference. The paper also discusses the benefits of opto-electronic …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 1, 2026 · pp. 1–14 Read article
-
Exploring the Future of Operating Systems: Architectural Innovations and Kernel Development Trends
Abstract: Modern applications and the rapid evolution of hardware technologies are challenging operating system (OS) design. This paper speculates the future of OS based on revolutionary architecture advancements and emerging possibilities in kernel construction. The growth of multi-core processors, spread-bound processing, and edge architectures have challenged traditional OS paradigms. The paper provides an analysis of the progress in microkernel and monolithic kernel structures, discussing the bandwidth capacity as well as security …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 38–47 Read article
-
An Adaptive and Privacy-Aware Federated Learning Framework for Efficient and Secure Model Training Across Heterogeneous Datasets
Abstract: The problem of efficiency and privacy regarding heterogeneous data in modern distributed machine learning systems is a vital point that should be taken into account. The absence of IID data distribution, client heterogeneity, and privacy invasion during the aggregation model are the bane of conventional federated learning (FL) approaches to learning like FedAvg and FedProx. The paper proposes that the adaptive and privacy-aware FL framework (AFL-P) can be used to …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 1, 2026 · pp. 16–25 Read article
-
Innovative Platform for College Event Planning and Secure Transactions
Abstract: The unified platform for college events is designed as an all-in-one solution to simplify the process of organizing college events while ensuring seamless payment transactions. By combining event management and payment processing into a single system, this innovative platform provides colleges and universities with a convenient way to plan, promote, and execute events while securely handling financial operations. In the lively and dynamic environment of college life, events such as …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 1, 2025 · pp. 18–23 Read article