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156 articles for “Real-time security monitoring”
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An Intelligent Neural Networks Approach for Monitoring of Soilless Urban Farms
Abstract: Urban agriculture is increasingly recognized as a sustainable approach to addressing food security challenges in rapidly growing and densely populated cities. Conventional soil-based farming often faces limitations such as space scarcity, excessive water consumption, and environmental degradation. To overcome these challenges, soilless farming techniques such as hydroponics and aeroponics have gained significant attention due to their efficient utilization of space, reduced water requirements, and potential for year-round crop production. However, …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 31–37 Read article
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IOT Based Smart System for Parameter Control Interfaced with Android and Cloud
Abstract: The smart embedded system enables real-time monitoring and control of multiple parameters motor speed, LCD brightness, temperature, and humidity through both manual input and remote Android application. The system consists Raspberry Pi 4 Model B as the central processor, integrated with a DHT11 sensor, L298N motor driver, LCD display, and potentiometers. Cloud connectivity is achieved using Firebase to synchronize data between the hardware and a custom-built mobile application. Real-time feedback …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 11–22 Read article
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Firing a Laser into the Sky Diverts Lightning Offering Greater Protection to Installations
Abstract: Lightning bolts cause thousands of deaths every year worldwide. Since Benjamin Franklin’s invention of lightning rods made almost 300 years ago, the technology has not been changed even today. The same Franklin lightning rods are used on top of the buildings to steer lightning down to the ground so that they don’t pass through the buildings, and damage the structure or electrocute people. Researchers have recently developed a new type …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 1, Issue 2, 2023 · pp. 46–56 Read article
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Facial Emotion Detection and Its Applications
Abstract: Facial emotion detection (FED) is an interdisciplinary field that integrates artificial intelligence, computer vision, and machine learning to recognize and interpret human emotions based on facial expressions. The development of FED systems has been propelled by advancements in deep learning, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs), which enhance recognition accuracy. Feature extraction techniques, including geometric and appearance-based methods, play a crucial role in classifying emotional states. …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 8–12 Read article
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A Study of Cloud-Enabled Deep Learning for Monitoring and Predicting Soil Health in Agriculture
Abstract: Soil health is a critical factor in ensuring sustainable agricultural practices and food security. Traditional methods for soil health assessment are often time-consuming, localized, and lack scalability. This study explores the integration of cloud-enabled deep learning techniques to monitor and predict soil health efficiently. Leveraging data from IoT sensors, satellite imagery, and lab-based analyses, a cloud-based framework is proposed to process and analyze soil health parameters such as pH, moisture …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 8–16 Read article
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GreenDiagnosis: Intelligent Crop Disease Detection Using Deep Learning Algorithm
Abstract: Agriculture in parts of India relies on labour-intensive traditions, maintaining disease-free crops is crucial. Manual methods can be inaccurate, driving farmers towards AI-based solutions. AI offers a proactive approach to address real-time farming challenges. Among these is the invasion of pests, which diminishes crop quality. Combating pest-related diseases poses a challenge, prompting innovation. Effective surveillance and early detection of crop diseases play a pivotal role in ensuring global food security …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 Read article
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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
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Integrated Tactical Patrolling Stick
Abstract: The Integrated Tactical Patrolling Stick (ITPS) is a smart, multi-functional device developed to support military personnel and forest officers working in isolated and high-risk areas like border zones and dense jungles. It is equipped with a range of defensive and signaling features that enhance user safety and situational awareness during patrol duties. Among its key components are a flashing LED system combined with a siren for alert signals, a laser …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 23–31 Read article
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Solar-Powered Electric Vehicle Charging Station Enhanced by IoT Integration
Abstract: This project introduces a solar-powered electric vehicle (EV) charging station that incorporates Internet of Things (IoT) technology to enhance monitoring and operational contr While the integration of solar energy for renewable power generation is promising, the real-time solar voltage monitoring system raises questions about the overall efficiency and dependability of solar energy under variable environmental conditions. The automatic detection of a vehicle’s position over the wireless charging coil, eliminating manual …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 23–32 Read article
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Design, Development, and Performance Analysis of an Intelligent IoT-Based Home Automation System
Abstract: Without a doubt, the incorporation of Internet of Things (IoT) technology into what used to be traditional homes has turned them into smart houses. Appliances are controlled and monitored in the distance. With a security of 99.9% it is unproblematic to break in these terminals and your energy synchronously may go down two points any time fifty times." "Home automation systems allow automatic control of electrical appliances, environmental conditions and …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 1, 2026 · pp. 23–30 Read article
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Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing
Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article
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Smart Soil Health Monitoring: Leveraging Sensors and Big Data to Optimize Crop Growth
Abstract: The increasing demand for sustainable farming practices has necessitated the development of innovative technologies that improve crop productivity while reducing environmental harm. This study investigates the combination of internet of things (IoT) sensors and big data analytics for real-time soil health monitoring, with the aim of maximizing crop yield and efficient resource management. This allows for informed decision-making in key agricultural practices, such as fertilization, irrigation, and crop rotation, based …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 36–43 Read article
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Monitoring of Unauthorized Identity and Access Behaviour for Outsourced Data in Cloud Environment
Abstract: The outsourcing of data is a significant challenge in the modern cloud computing ecosystem when it comes to tracking unauthorized identification and access behaviour. In order to overcome this issue, this research suggests a thorough method for reliable anomaly detection in cloud systems. Improving data security and offering a trustworthy monitoring system are the two main goals. The suggested approach proceeds methodically, gathering information from several sources such as user …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 9–19 Read article
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Intelligent Aquaculture System for Fish Disease Detection Using Machine Learning
Abstract: Aquaculture is one of the key factors for global food security, but fish diseases bring about heavy economic losses and jeopardize sustainability. One of the most important aspects of global food security is aquaculture, but fish infections endanger sustainability and cause significant financial losses. Early diagnosis is not possible since traditional disease detection techniques are laborious and necessitate expert intervention. To effectively detect fish infections, this study suggests an Intelligent …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 2, 2025 · pp. 30–37 Read article
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Automation and Robotics for Quality Control in Manufacturing: A Review of Technologies and Applications
Abstract: Automation and robotics technologies have rapidly evolved, transforming modern manufacturing processes by improving productivity, quality, and operational efficiency. This review examines key advancements such as cloud robotics, machine vision, Industry 4.0 robotics, Building Information Modeling (BIM) combined with Computer Numerical Control (CNC), joystick-controlled automation, and intelligent manufacturing systems. These technologies utilize artificial intelligence (AI), machine learning (ML), digital twins, collaborative robots, programmable logic controllers (PLCs), and cyber-physical systems (CPS) to …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 36–48 Read article
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Railway Track Safety System
Abstract: Railway Track Safety System (RTSS) is a comprehensive monitoring system specifically designed for the Indian railways. It consists of three subsystems that target specific challenges faced by the railways. Our main focus is on addressing four key problems. The first two issues involve cracks in the rails and foreign objects on the tracks. Cracks can occur naturally or be intentionally created to derail trains. Objects like stones can accidentally roll …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 1, 2024 · pp. 29–33 Read article
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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
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Cybersecurity of AI and IoT Integrated for Mechanical Industries
Abstract: By facilitating the concept of Industry 4.0, the intersection of artificial intelligence (AI) and the Internet of Things (IoT) has changed the mechanical industries. When combined, these technologies are advancing process optimization, predictive maintenance, real-time condition monitoring, and smarter automation. In order to give proactive system control and intelligent decision-making, AI algorithms mine large datasets generated via IoT devices for relevant patterns. In the meanwhile, IoT guarantees smooth communication between …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 27–33 Read article
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Design and Validation of Polymer-Separated Lithium-Ion Battery Powered Mini-UPS for Networking Applications
Abstract: Due to the growing use of semiconductor-based electronic devices in networking applications, power interruptions can cause data loss, productivity loss, and system disruptions. To eliminate these outages, Mini Uninterruptible Power Supplies are expensive and have single-use batteries with shorter battery lives. These networking wires, cables, and other electrical components are polymer-insulated. Polymers with low dielectric constants have the potential to improve antenna interlayer dielectrics, communication cables, and other hardware for …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 917–933 Read article
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Smart Infrastructure Systems: A New Era in Civil Engineering and Infrastructure Management
Abstract: Civil engineering has experienced a significant technological shift due to the adoption of smart infrastructure systems. The integration of the Internet of Things (IoT), artificial intelligence (AI), and big data analytics has facilitated real-time monitoring, predictive maintenance, and improved infrastructure management. These advancements have transformed the planning, design, and operation of roads, bridges, water systems, and buildings. By employing smart sensors and AI-driven algorithms, engineers can now optimize the entire …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 38–43 Read article