Search
173 articles for “real-time monitoring”
-
Analytical Development of Electrochemical Biosensors for Real-Time Monitoring of Environmental Contaminants
Abstract: The increasing awareness of environmental pollution has necessitated the development of efficient monitoring systems for the detection and quantification of contaminants. Electrochemical biosensors have emerged as powerful tools due to their high sensitivity, rapid response, and cost-effectiveness. This paper reviews recent advancements in the development of electrochemical biosensors specifically designed for real-time monitoring of environmental contaminants. The design and fabrication of electrochemical biosensors involve the integration of biological recognition elements …
Published in International Journal of Analytical and Applied Chemistry · Vol. 9, Issue 2, 2023 · pp. 31–37 Read article
-
Targeted Nanotherapy and Advanced Biosensing: A Novel Approach to Preventing and Treating Fibrodysplasia Ossificans Progressiva
Abstract: Fibrodysplasia ossificans progressiva (FOP) is an exceptionally rare and debilitating genetic disorder marked by the gradual transformation of soft tissues into bone, severely impairing movement and reducing lifespan. This review delves into the potential of cutting-edge nanotherapy and advanced biosensing technologies as novel strategies for both preventing and treating FOP. Nanotechnology could help make targeted drug delivery systems and real-time monitoring tools that can precisely target the mutant ACVR1 gene, …
Published in International journal of Nanobiotechnology · Vol. 10, Issue 2, 2024 · pp. 11–18 Read article
-
IoT-Based Real-Time Beam Deflection Monitoring for Structural Integrity
Abstract: Abstract Structural health monitoring is essential to ensure the safety of civil engineering constructions. Conventional laser-based methods of deflection measurement are expensive and invasive, especially for historical buildings and hostile environments such as mines and caves. This project aims to design a low-cost, non-invasive IoT-based system using strain gauges to monitor beam deflection in real-time, providing early warning for any potential structural damage. The system is based on using strain …
Published in International Journal of Structural Engineering and Analysis · Vol. 12, Issue 1, 2026 Read article
-
AI-Enabled IV Infusion Monitoring Device for Real-Time Nursing Care Optimization
Abstract: Intravenous (IV) infusion therapy is an essential component of modern healthcare, widely used for administering fluids, medications, and nutrients in clinical settings. However, traditional infusion monitoring methods rely heavily on manual observation by nursing staff, which increases the risk of human error, delayed interventions, and excessive workload. The integration of Artificial Intelligence (AI) into IV infusion systems has introduced a transformative approach to real-time monitoring, predictive analytics, and automated alert …
Published in International Journal of Nursing Critical Care · Vol. 12, Issue 1, 2026 · pp. 10–18 Read article
-
AI-Driven Predictive Maintenance in Smart Homes: Enhancing Efficiency and Reliability
Abstract: The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has transformed smart homes into intelligent, self-regulating environments. Despite these advancements, ensuring the long-term reliability and efficiency of interconnected devices remains a complex challenge due to device heterogeneity, dynamic usage patterns, and continuous data streams. This study investigates AI-driven predictive maintenance (PdM) as a proactive strategy for detecting early signs of equipment degradation in residential settings. The proposed …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
-
Digital Twin-Enabled Structural Health Monitoring Framework for Real-Time Damage Detection in Civil Infrastructure
Abstract: Abstract The paper discusses how Digital Twin-enabled Structural Health Monitoring (SHM) restyles civil infrastructure by finding damage in real time, decreasing costs, and increasing safety levels. As opposed to the traditional inspection methods, Digital Twins apply virtual models and sensors to observe structures, like bridges, dams, and buildings immediately, which reduces the repair costs by 30–50% and extends the project’s lifespan by 20–30%. This research studies four real-world projects, namely, …
Published in International Journal of Construction Engineering and Planning · Vol. 12, Issue 1, 2026 · pp. 1–9 Read article
-
Digital Twin-Enabled Structural Health Monitoring Framework for Real-Time Damage Detection in Civil Infrastructure
Abstract: Abstract The paper discusses how Digital Twin-enabled Structural Health Monitoring (SHM) restyles civil infrastructure by finding damage in real time, decreasing costs, and increasing safety levels. As opposed to the traditional inspection methods, Digital Twins apply virtual models and sensors to observe structures like bridges, dams, and buildings immediately, which reduces the repair costs by 30–50% and extends the project’s lifespan by 20–30%. This research studies four real-world projects, namely, …
Published in International Journal of Construction Engineering and Planning · Vol. 12, Issue 1, 2026 Read article
-
A Comprehensive Review of IoT-Enabled RC Boats for Real-Time Water Pollution Monitoring
Abstract: For all people today, drinking water is the most significant and precious resource. Real-time operations present new difficulties for drinking water utilities. Due to factors including dwindling water supplies, population growth, deteriorating infrastructure, etc., this problem developed. Better methods of checking the quality of the water are therefore required. The traditional approach to measuring water quality entails manually collecting water samples at various sites, followed by laboratory analytical procedures to …
Published in International Journal of Microwave Engineering and Technology · Vol. 8, Issue 2, 2022 · pp. 20–27 Read article
-
SMART SAFETY DRIVER DEVICE
Abstract: Road accidents caused by driver drowsiness, alcohol consumption, and vehicle fire hazardsremain a major concern in transportation safety. This paper presents a Smart Safety DriverDevice designed to enhance vehicle safety through real-time monitoring and automated alertmechanisms. The system integrates an eye blink sensor to detect driver fatigue, an alcoholsensor to identify alcohol presence, and a flame sensor for early fire detection. An Arduino-based controller continuously processes sensor data and activates …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 1, 2026 Read article
-
SMART SAFETY DRIVER DEVICE
Abstract: Road accidents caused by driver drowsiness, alcohol consumption, and vehicle fire hazards remain a major concern in transportation safety. This paper presents a Smart Safety Driver Device designed to enhance vehicle safety through real-time monitoring and automated alert mechanisms. The system integrates an eye blink sensor to detect driver fatigue, an alcohol sensor to identify alcohol presence, and a flame sensor for early fire detection. An Arduino- based controller continuously …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 45–53 Read article
-
Integrated Workers Navigation Payment System With Enhanced Canteen Facilities
Abstract: The integration of RFID and GPS navigation in canteen facilities management is set to revolutionize work related tasks in various industries. This innovative system aims to reduce administrative overhead, ensure fair and accurate payment for workers, and streamline communication between workers and management. Features for real-time data collection and reporting will improve management-employee collaboration. RFID-based entry systems provide secure and efficient means of worker identification, while GPS tracking ensures accurate …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 1, 2024 · pp. 8–13 Read article
-
Revolutionizing Healthcare: Cutting-Edge Biosensors Paving the Way for 21st Century Point-of-Care Diagnostics
Abstract: Point-of-care (POC) diagnostics stand as a transformative paradigm in healthcare, promising rapid testing directly at patient care sites. Biosensors, amalgamating biological recognition elements with physico-chemical transducers, emerge as pivotal tools in crafting rapid and sensitive POC diagnostic devices. Recent strides in nanotechnology, microfluidics, and flexible electronics have engendered a wave of innovative biosensor designs and detection methodologies. This paper provides an extensive review of the latest advancements in biosensors tailored …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 9, Issue 2, 2023 · pp. 12–19 Read article
-
Next-Generation IoT-Based Air & Noise Pollution Monitoring System Using ESP32-S3
Abstract: Air and noise pollution have become serious environmental problems in modern urban areas due to rapid industrialization, increasing traffic, and population growth. Continuous monitoring of pollution levels is important to protect public health and maintain environmental safety. Traditional pollution monitoring systems are expensive and limited in coverage, which makes real- time monitoring difficult in many locations. To address this issue, this project proposes a low-cost Internet of Things (IoT) based …
Published in International Journal of Environmental Chemistry · Vol. 12, Issue 1, 2026 · pp. 69–75 Read article
-
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
-
An Integrated Machine Learning and IoT-Based Framework for Predictive Urban Water Demand Management and Distribution Optimization
Abstract: Abstract Urban water resource management has become increasingly complex due to rapid urbanization, population growth, climate variability, and aging infrastructure. Conventional water management approaches are often reactive, inefficient, and incapable of handling real-time fluctuations in demand and supply. This study proposes an integrated framework that combines machine learning (ML) techniques with Internet of Things (IoT)-based real-time monitoring to enhance water demand prediction and optimize distribution systems in urban environments. The …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 Read article
-
Advanced Geotechnical Analysis of Soil-Structure Interaction in High-Rise Building Foundations
Abstract: AbstractThe stability of high-rise buildings is fundamentally influenced by the interaction between theirfoundations and the underlying soil. This study provides a comprehensive analysis of soil-structureinteraction (SSI) with a particular emphasis on settlement behavior, load distribution, and seismicresilience. By utilizing finite element modeling (FEM) and advanced soil mechanics principles, theresearch evaluates various foundation systems, including deep pile foundations, mat foundations, andhybrid configurations, to determine their effectiveness in diverse geotechnical conditions. The …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 11, Issue 1, 2025 · pp. 49–54 Read article
-
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
-
IoT-Powered Weather Monitoring and Irrigation Automation: Transforming Modern Farming Practices
Abstract: It is proposing an IoT-based weather monitoring system. This will monitor, in real-time, the critical environmental parameters aid for farming. Soil moisture, temperature, humidity, and rainfall will be measured parameters that help optimize agricultural practices and perfect the use of water. The IoT technology will, therefore, include a microcontroller such as NodeMCU that tracks soil moisture levels and automates irrigation. If the soil moisture falls below 50%, then the programming …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
-
The Impact of CAM on Digital Twin Technology inManufacturing Systems
Abstract: The integration of Computer-Aided Manufacturing (CAM) and Digital Twin technology is revolutionizing the manufacturing landscape by bringing together the strengths of process automation, real-time monitoring, and predictive analytics. CAM, which has long been used to optimize machining processes, automate toolpath generation, and control production workflows, plays a vital role in improving manufacturing efficiency and precision. On the other hand, Digital Twin technology, which creates a virtual replica of physical systems, …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 2, 2024 · pp. 6–10 Read article
-
Review and Analysis of Fault Detection in Self-Healing Hardware System
Abstract: Self-healing hardware systems represent a transformative advancement in fault tolerance, enabling devices to autonomously detect, diagnose, and recover from malfunctions to ensure continuous and reliable operation. This paper explores the critical role of fault detection techniques in self-healing systems, focusing on methods such as built-in self-test (BIST), redundancy, and machine learning-based approaches. These techniques facilitate proactive and real-time fault resolution, addressing the limitations of traditional reactive strategies. The study highlights …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 1, 2025 · pp. 11–15 Read article