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132 articles for “real-time detection”
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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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Lie Detector for Loyalty Test Using Biomedical Device
Abstract: This paper describes the real time working of a Simulink based blood pressure and body temperature monitoring system based on ATMEGA 328 (Arduino uno). The major monitoring system in use give the output on a liquid crystal display, even if it is a digital circuit, it is prone to noise and distortions. So, we are using a new technique to make this health monitoring system more accurate. We are adding …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 8, Issue 1, 2022 · pp. 8–13 Read article
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Critical Parameters in the Design of Breathing Apparatus
Abstract: Breathing apparatuses are essential in hazardous environments, ensuring respiratory protection for workers in industries, such as firefighting, chemical handling, and emergency response. This study examines the critical parameters influencing the design, performance, and safety of breathing apparatus systems. Key parameters include oxygen delivery efficiency, filtration capacity, ergonomic design, and durability under extreme conditions. Oxygen supply mechanisms, including open-circuit and closed-circuit systems, are evaluated for their suitability in various operational contexts. …
Published in International Journal of Environmental Chemistry · Vol. 11, Issue 1, 2025 · pp. 144–158 Read article
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IoT-Based Fault Detection in Distribution Lines
Abstract: Quickly detecting and pinpointing failures in electrical distribution lines are important for shortening the duration of service interruption, reducing maintenance costs and increasing safety. In this work, we propose a realistic architecture for an Internet-of-Things (IoT)-enabled fault detection system designed for distribution networks. In order to continually assess electrical characteristics including voltage, current, frequency, temperature, and line status, the suggested architecture combines inexpensive, dispersed sensor nodes placed along feeders and …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Smart Risk Management: Power BI in Modern Construction Practices
Abstract: Abstract— In the evolving domain of construction management, data-driven decision-making plays a pivotal role in ensuring successful project execution. This paper presents a comprehensive approach to risk identification, analysis, and mitigation using Microsoft Power BI. By integrating Failure Mode and Effects Analysis (FMEA) and risk data extracted from periodic reports (PPR, DPR, WPR), we demonstrate how Power BI's data visualization capabilities can transform raw datasets into actionable insights. The generated …
Published in International Journal of Construction Engineering and Planning · Vol. 12, Issue 1, 2026 · pp. 45–53 Read article
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Wireless Sensor Network for Air Pollution Monitoring using Zigbee
Abstract: The environment plays an important role to maintain a good health of not only society but industry also. Various parameters affect the environment directly and indirectly and so the human beings. Air pollution, fire detection, leakage detection, health monitoring etc are some of the application where the wireless sensors network is being used as real time monitoring and controlling station. Air contains a lot of gases, which are not safe …
Published in International Journal of Digital Communication and Analog Signals · Vol. 6, Issue 2, 2020 · pp. 14–20 Read article
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AI-Driven Hybrid Neural Network Architecture for Medical Image Segmentation: A Novel Approach for Early Disease Detection
Abstract: One of the key factors in detecting early diseases is medical image segmentation. Medical image segmentation can be very complex due to the differences in image quality, noise, and specific anatomical structures of individual patients. A novel approach for a hybrid neural network structure that combines the power of convolutional neural networks, and the transformer-based models is described here for improved accuracy and robustness of medical image segmentation. Unlike traditional …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 1–7 Read article
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Network Intrusion Detection Using Wireshark and Machine Learning
Abstract: The growth of networked devices has highlighted the desire for advanced intrusion detection (IDS) tools to protect digital systems from evolving cyber threats. Traditional IDS systems are often difficult to adapt to the threat environment because they rely on predefined signature lists. This study presents a new approach that combines Wireshark, a widely used network packet analysis tool, with advanced machine learning for intrusion detection. Our system leverages Wireshark's data …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 23–31 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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Autonomous Multi-Agent Sensor Network for Distributed Environmental Instrumentation
Abstract: Environmental monitoring requires intelligent, scalable, and autonomous instrumentation systems capable of continuously sensing, processing, and communicating heterogeneous data under dynamic conditions. This study proposes an Autonomous Multi-Agent Sensor Network for Distributed Environmental Instrumentation, integrating distributed sensor nodes, edge computing, multi-agent collaboration, adaptive data fusion, and intelligent decision-making to achieve reliable real-time monitoring of environmental parameters. Each sensor agent autonomously performs local sensing, anomaly detection, energy-aware communication, and cooperative information exchange …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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AI-Optimized Reconfigurable Microstrip Bandpass Filters for DynamicSpectrum Access in 6G Networks
Abstract: The evolution toward sixth generation (6G) wireless networks introduces unprecedented demands on spectral efficiency, ultra-low latency, and real-time adaptability to dynamic radio environments. Central to this transformation is the requirement for intelligent, spectrum-agile radio front ends that can seamlessly operate across heterogeneous frequency bands. Dynamic Spectrum Access (DSA) addresses this challenge by enabling transceivers to autonomously detect, evaluate, and utilize the most suitable spectrum opportunities. The realization of DSA in …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 2, 2025 · pp. 30–38 Read article
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Intelligent IoT-Based Parking System for Smart City Applications
Abstract: Abstract Modern urban life is increasingly disrupted by one of its most overlooked problems: inefficient and outdated parking systems. From long vehicle queues to wasted time and fuel, the lack of automation in parking management continues to create unnecessary stress for both drivers and facility operators. The absence of intelligent monitoring often results in poor space utilization and chaotic movement within parking areas. This research aims to solve that problem …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 11, Issue 2, 2025 · pp. 18–24 Read article
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Industrial IoT Based Health Monitoring System of Motor and Transformer
Abstract: This research presents an Industrial IoT-based health monitoring system tailored for motor and transformer components in industrial environments. Integrating advanced sensors, microcontrollers, and MQTT communication, the system enables real-time monitoring and predictive maintenance. Accurate measurement of critical parameters, coupled with effective anomaly detection algorithms, empowers operators to pre-emptively address potential equipment failures. The system's reliability and effectiveness in optimizing equipment reliability and minimizing downtime offer a promising solution for industrial …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 1, 2024 · pp. 13–19 Read article
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Clash Detection in Appropriate Technology Building Using Building Information Modelling (BIM)
Abstract: Building Information modelling (BIM) is a highly efficient software in Architecture, Engineering and construction (AEC industry). Clash detection technique is used to minimize the error as well as to minimize the cost and time. Especially in 2D drawings, lots of problems emerges at the time of execution. One of the best tools used in this project is clash detection tool which coordinates the building system in 3D models. This clash …
Published in International Journal of Construction Engineering and Planning · Vol. 6, Issue 1, 2020 · pp. 15–24 Read article
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Nanosensors in Agriculture Field: A Study
Abstract: The agricultural sector faces numerous challenges, including the need for increased productivity, concentrated environmental influence, and improved food security due to a growing global population. Traditional agricultural practices frequently fall short in addressing these issues, foremost due to suboptimal crop yields and inefficient resource management. One of the pressing problems is the difficulty in real-time monitoring of soil health, plant growth, and pest infestations, which can impede timely decision-making and …
Published in International Journal of Applied Nanotechnology · Vol. 10, Issue 2, 2024 · pp. 12–22 Read article
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Design and Implementation of Autonomous Robots for Crack Detection in Dam Walls: Analyzing Vision-Based Algorithms and Structural Health Monitoring
Abstract: AbstractThe maintenance of dam walls is critical to ensure structural integrity, safety, and efficient water management. Cracks and other structural deficiencies can lead to severe consequences if left undetected. Traditional inspection methods are labor-intensive, time-consuming, and often hazardous, necessitating the development of autonomous systems for effective monitoring. This study focuses on the design and implementation of autonomous robots equipped for crack detection in dam walls, with an emphasis on vision-based …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 1, 2025 · pp. 14–26 Read article
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Review of Anomaly Detection Techniques in MANETs: AMachine Learning Approach to Intrusion Detection, Attack Prediction, and Routing Security
Abstract: Mobile Ad hoc Networks (MANETs) are decentralized, self-organizing networks that offer flexibility and scalability for a variety of applications. However, their dynamic topology and limited resources make them highly susceptible to security threats. Traditional security measures often struggle to address the complexities of evolving and sophisticated attacks within such networks. This paper reviews the role of machine learning (ML) techniques in enhancing anomaly detection capabilities in MANETs, focusing on their …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 1–5 Read article
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Next-generation Monitoring: Arduino-based Networking Approach for Underground Cable Fault Detection
Abstract: This study presents a novel approach that makes use of networking technology and Arduino microcontrollers to identify defects in subterranean cables. For electricity distribution networks to continue to be dependable and safe, defects in subterranean cables must be accurately located and detected. An Arduino-based system to concurrently identify defects and determine their lengths in subterranean cables. Through the integration of sensors that are attached to Arduino boards with a networked …
Published in International Journal of Broadband Cellular Communication · Vol. 9, Issue 2, 2023 · pp. 11–17 Read article
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A Review on FPGA-Based Automatic Crash Detection and Airbag Deployment System
Abstract: Every year there are many people die or become injured due to car crashes around the world- -these injuries can vary from slight to severe. Airbags prevent car accident related injury and death. In order for the airbag to operate successfully (i.e., airbag to deploy properly, at the right speed, for the right amount of time) there has to be a decrease in the time that it takes to deploy …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 Read article
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Advanced Power Grid
Abstract: The electric power transmission systems of tomorrow must incorporate advanced hardware and software technologies to increase reliable long-distance power transfer. While new hardware technologies can improve transmission system capabilities, software technologies are also needed to coordinate these hardware technologies safely, securely, and effectively. To prevent system failures, future transmission systems must integrate advanced hardware and software technologies across new and existing facilities, allow revolutionary improvements in power grid utilization, and …
Published in International Journal of Electrical Power System and Technology · Vol. 3, Issue 2, 2017 · pp. 16–22 Read article