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173 articles for “real-time monitoring”
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A Comprehensive Review of Smart Parking Systems: Technologies, Challenges, and Future Directions
Abstract: Abstract Smart Parking Systems (SPS) are gaining significant attention as a critical solution to address the growing concerns of urban congestion, inefficient use of parking spaces, and environmental sustainability. This paper presents a comprehensive review of SPS, focusing on the key technologies, challenges, and future directions. We explore the integration of advanced technologies, such as the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and sensor networks in …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 1–13 Read article
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A Hybrid Approach to Secure Cloud Storage: Machine Learning and Blockchain Integration
Abstract: With the rapid adoption of cloud computing across industries, securing cloud storage has become a paramount concern for organizations that rely on cloud-based systems to manage sensitive data. Traditional security approaches often struggle with the complex and evolving nature of cyber threats, leading to vulnerabilities that malicious actors can exploit. In response to these challenges, this paper proposes a hybrid approach that integrates machine learning and blockchain technologies to create …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 35–47 Read article
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Enhancing Network Alarm Handling Efficiency: An Improved Apriori Algorithm with FCM Approach
Abstract: Network alarm systems generate large volumes of alarms, often resulting in redundant or irrelevant data that complicates efficient fault detection and resolution. This paper presents an enhanced approach to network alarm handling by integrating the Apriori algorithm with the Fuzzy C-Means (FCM) clustering method. The Apriori algorithm is used to uncover frequent alarm patterns, while FCM addresses the complexity of overlapping alarm data, enabling the association of alarms with varying …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Action Potential Monitoring Using Neuronanorobots: Neuroelectric Nanosensors
Abstract: Neuronanorobotics, a key future medical technology that can enable the preservation of human brain information, requires appropriate nanosensors. Action potentials encode the most resource-intensive functional brain data. This paper presents a theoretical design for electrical nanosensors intended for use in neuronanorobots to provide non-destructive, in vivo, continuous, real-time, single-spike monitoring of action potentials initiated and processed within the ~86 x 109 neurons of the human brain as intermediated through the …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 1, Issue 2, 2015 · pp. 20–41 Read article
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Mathematical and statistical analysis of operational data from transportation systems that impact the final result of greenhouse gas emissions and other atmospheric pollutants
Abstract: Abstract The main objective of this study is to identify which mathematical and statistical models are used to forecast greenhouse gas emissions and other atmospheric pollutants from transportation systems. The research demonstrates how mathematical and statistical tools are used to identify and anticipate future scenarios from an environmental perspective, thus contributing to better solutions for mitigating increased emissions. The research concludes that mathematical and statistical models can more accurately anticipate …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 14–18 Read article
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Enhancing Low Voltage Ride-Through Capability in Wind Energy Conversion Systems Using Phasor
Abstract: This paper presents a comprehensive strategy for enhancing the low voltage ride-through capability in wind energy conversion systems by integrating phasor measurement units, Type-III wind turbine systems, and flexible AC transmission systems devices. The research focuses on double fed induction generators-based wind turbines, which constitute a significant portion of wind energy systems but face challenges in maintaining grid stability during voltage sags. As wind turbines are directly connected to the …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 2, 2024 · pp. 15–40 Read article
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Construction Project Monitoring Using Computer Vision Technology – A Literature Review
Abstract: The construction industry is witnessing a transformative shift with the adoption of computer vision (CV) technologies for productivity monitoring and performance evaluation. This review consolidates the advancements in CV applications, focusing on areas, such as real-time progress tracking, resource management, and safety monitoring. The analysis highlights how automated systems, powered by deep learning models and object detection algorithms, are replacing traditional manual methods, offering enhanced accuracy, efficiency, and decision-making capabilities. …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 11, Issue 1, 2025 · pp. 1–9 Read article
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Design of Real-Time Candy Vending Machine Using Verilog HDL
Abstract: This project focuses on the implementation of a real-time candy vending machine using Verilog Hardware Description Language (HDL). The main objective is to design a digital system that simulates the operation of a candy machine, including accepting coin inputs and monitoring the total inserted amount in real time. Verilog HDL is used to model the system’s behavior at the register– transfer level, making it suitable for academic and conceptual understanding …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 1, 2026 · pp. 11–17 Read article
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An Energy-Efficient CMOS Analog Front-End for Wearable Biomedical Monitoring Applications
Abstract: Because wearable biomedical monitoring technologies allow for continuous, real-time, and remote measurement of physiological parameters, they are quickly becoming a key component of contemporary healthcare. These systems place stringent demands on the analog front-end (AFE), which must accurately acquire and condition extremely low-amplitude biopotential signals such as electrocardiogram (ECG), electroencephalogram (EEG), and electromyogram (EMG) while operating under severe power and size constraints. This paper presents the design and simulation of …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 1, 2026 · pp. 1–10 Read article
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Edge AI-Based Smart Passenger Protection Systemwith Accident Severity Classification andAutonomous SOS Communication
Abstract: This project presents the design and implementation of an Edge AI-Based Smart Passenger Protection System to enhance passenger safety during hazardous situations inside vehicles. The system integrates an MQ-2 gas sensor, an impact sensor, an Edge AI-enabled microcontroller, a two-channel relay module, and a buzzer to provide intelligent and autonomous safety responses in real time. The gas sensor continuously monitors the air quality inside the vehicle cabin, while the Edge …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Cognitive Metallurgy: A Study on Microstructure and Energy Efficiency in High-Temperature Alloying via Sensor Fusion and Deep Reinforcement Learning
Abstract: Background Traditional high-temperature metallurgical processes, such as continuous casting and specialty alloy synthesis, are characterized by high energy consumption, stochastic variability, and reliance on post-process defect inspection. The inability to precisely monitor, model, and predict the real-time thermal, chemical, and mechanical state of molten metal and cooling substrates results in significant material waste and inconsistent microstructural integrity. Methodology This study introduces a novel framework for Cognitive Metallurgy utilizing an integrated …
Published in International Journal of Metallurgy and Alloys · Vol. 11, Issue 2, 2025 · pp. 27–36 Read article
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Automated Vehicle classification and counting for Smart City Traffic management using AI/ML and DL
Abstract: Traffic jams and safety on the road have become a serious problem in modern cities. They need smart and versatile solutions. This project is a proposal to use automated vehicles to count and classify real- time vehicles. The system will enhance the traffic monitoring and management in smart cities. It can identify and differentiate the various kinds of vehicles: cars, trucks, buses, and motorcycles by utilizing machine learning on real-time …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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Biosensors Powered by Nanotechnology forContinuous Insulin Delivery and GlucoseMonitoring in Diabetes Management
Abstract: Diabetes mellitus is a chronic metabolic disorder that necessitates continuous glucose monitoring and precise insulin delivery for effective management. Traditional methods often fall short in maintaining the necessary levels of accuracy and convenience, thereby posing challenges in achieving optimal glycemic control. Nanotechnology-enabled biosensors have revolutionized this field by leveraging the unique properties of nanomaterials, offering significant improvements in sensitivity, selectivity, and biocompatibility. This article delves deeply into the transformative role …
Published in International Journal of Applied Nanotechnology · Vol. 10, Issue 1, 2024 · pp. 13–24 Read article
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Automated Vehicle classification and counting for Smart City Traffic management using AI/ML and DL
Abstract: Abstract: Traffic jam and safety at the road have become a serious problem in modern cities. They need smart and versatile solutions. This project is a proposal to use automated vehicles to count and classify real- time vehicles. The system will enhance the traffic monitoring and management in smart cities. It is capable of identifying and differentiating the various kinds of vehicles: cars, trucks, buses, and motorcycles by utilizing machine …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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Machine Learning Approach for Analysis of Ionosphere Parameters for Earthquake Precursors
Abstract: This research explores the relationship between seismic events and predictive indicators, focusing on machine learning-based strategies for early earthquake prediction. It dissects existing prediction approaches, highlighting ionospheric anomalies' correlation with seismic occurrences, particularly preceding earthquakes of magnitudes higher than 5.5. By identifying a lack of comprehensive long-term analyses in the field, the study emphasizes future trends in machine learning-driven EQ-PD techniques using GPS-TEC data for real-time anomaly detection. The methodology …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 9, Issue 2, 2023 · pp. 37–46 Read article
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A Sensor Integrated Tool for Cutting Force Monitoring in Gantry Milling to Improve Flatness and Surface Finish: Review Study
Abstract: AbstractPrecision machining of sector plates plays a vital role in the efficient functioning of Air Pre-Heaters(APH), which are integral components of thermal power plants. These plates are subjected to harshthermal cycles and mechanical loads, making dimensional accuracy critical. For optimal heatexchange performance and mechanical reliability, it is essential to maintain tight manufacturingtolerances – flatness within ±400 microns and thickness up to 13 mm. Deviation from theseparameters can lead to air …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 25–45 Read article
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DressCode Monitoring System
Abstract: This project aims to develop a dress code monitoring system using YOLO v5 object detection technology. Thesystem utilizes a camera to capture images or video footage of individuals entering a specific area and then uses YOLO v5 todetect their clothing and ensure that it complies with the predefined dress code standards. The system utilizes a deep learningalgorithm to accurately recognize various clothing items and differentiate between compliant and non-compliant attire. …
Published in International Journal of Analog Integrated Circuits · Vol. 9, Issue 1, 2023 · pp. 11–19 Read article
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A Secured Check-In and Check-Out System Using Private Key Authentication and QR Code Verification Techniques for Daycare Management
Abstract: The safety and security of children in daycare centers remain a critical concern for parents and caregivers. Child daycare centers play a fundamental role in providing a safe and nurturing environment for children while their parents or guardians engage in work and other responsibilities. However, ensuring the safety and security of children in these facilities remains a major concern, particularly in monitoring drop-offs and pick-ups to prevent unauthorized access and …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 27–40 Read article
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Enhancing Business Efficiency with SAAS Solutions for Person Tracking and Inter Communication
Abstract: This abstract explores the versatile applications of software as a service (SAAS) products across several key business domains, including person tracking, communication (chatting), order and billing systems, customer management, and outstanding management. SAAS solutions have revolutionized person tracking by providing comprehensive tools for monitoring and managing personnel activities in real time, from attendance tracking to performance evaluation, thereby fostering a productive and accountable workforce. Similarly, SAAS-based communication platforms have transformed …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 1, 2024 · pp. 15–21 Read article
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Smart Cow Shelter Temperature Monitoring System
Abstract: This paper presents the Smart Cow Shelter Temperature Monitoring System, utilizing an Arduino and DHT11 sensor to enhance livestock welfare through automated environmental monitoring. Technology overcomes the drawbacks of manual techniques by continuously monitoring temperature and humidity. The Arduino microcontroller processes real-time data from the DHT11 sensor. Visual indicators (LEDs) and an alert system (buzzer) notify farmers when conditions exceed safe thresholds, allowing for timely interventions. Testing demonstrated the system’s …
Published in International Journal of Analog Integrated Circuits · Vol. 10, Issue 2, 2024 · pp. 31–40 Read article