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274 articles for “Parameter monitoring”
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AquaSential: Autonomous UAV-Based Water Quality Monitoring System
Abstract: The increasing occurrence of waterborne health risks and the presence of harmful microorganisms in freshwater environments highlight the need for rapid and continuous water quality monitoring. Traditional laboratory-based testing methods often require significant time and manual sampling, limiting their ability to provide immediate information about changing environmental conditions. This work presents AquaSential, a low-cost, portable, and UAV-ready water quality monitoring system designed for real-time assessment of freshwater bodies. The proposed …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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Computer Vision Algorithm for Surface Defects Identification in TIG Welded Joints
Abstract: Quality monitoring of welded joints is still quite a tedious job for many industries. The surface defects on welded joints arises from the improper selection of various input parameters which further result bad quality weld. This paper highlight the application of a computer vision algorithm called discrete Fourier transformation approach for identification of surface defects present on TIG welded joints.
Published in Research and Reviews : Journal of Computational Biology Read article
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Thermal Behavior of Biomass Ashes with the Influence of Additives: A Critical Review
Abstract: The gasification of biomass is undoubtedly one of the most promising processes for sustainable energy and heat production. The formation of low-melting ashes can compromise the proper functioning of plants. To address potential risks of ash fusion and agglomerate formation in high-temperature zones that may occur in downdraft reactor configurations, a detailed literature review on the use of additives to counteract the risk of ash formation and deposition has been …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 14, Issue 3, 2024 · pp. 1–11 Read article
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Computer Vision Algorithm for Surface Defects Identification in TIG Welded Joints
Abstract: Quality monitoring of welded joints is still quite a tedious job for many industries. The surface defects on welded joints arises from the improper selection of various input parameters which further result bad quality weld. This paper highlight the application of a computer vision algorithm called Discrete Fourier Transformation approach for identification of surface defects present on TIG Welded joints.
Published in Research and Reviews : Journal of Computational Biology · Vol. 10, Issue 1, 2021 Read article
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STM32 MCU-based System for Testing Parameters of Lithium-Ion Batteries
Abstract: The Automobile manufacturing sector’s fast-paced advancement has raised concerns regarding energy conservation and reduction of emissions. To address this, electric vehicles have become a crucial solution, with lithium batteries as a core component. This paper presents the designing a test system for measuring the parameters of lithium battery, with the STM32F411RE micro controller as the crucial element. In contrast to the domestic market, the parameter detecting system for lithium-ion batteries …
Published in Journal of Microelectronics and Solid State Devices · Vol. 10, Issue 2, 2023 · pp. 18–27 Read article
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ICU Health Monitoring System in IoT with Machine Learning
Abstract: The Internet of Things (IoT) allows humans to push to a higher level of automation by developing systems using various sensors, interconnected smart devices, and the Internet. In ICU, patient checking is basic and most vital activity as little deferral in choice related to patients’ treatment may cause lasting permanent disability or maybe death. Most ICU devices are equipped with various sensors to live health parameters but to watch it …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 1, 2021 · pp. 25–34 Read article
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Develop the Design of Sustainable Polymer Materials: Applying Reinforcement Learning, IoT-Enabled Monitoring, and Data-Driven Manufacturing Approaches
Abstract: Sustainable polymer materials development is a must due to resource constraints, environmental concerns, and the demand for designed materials with high performance. When it comes to material optimization, energy utilization, process unpredictability, and lifecycle sustainability, traditional polymer production methods have their challenges. Reinforcement Learning (RL), Internet of Things (IoT) monitoring, and data-driven production are utilized in the design and manufacturing of sustainable polymer materials. It is recommended to use Internet …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1207–1231 Read article
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Innovative Process Renovation in Phosphating for Corrosion (Resistance), Energy & Quality Improvement
Abstract: The phenomenon of corrosion is of unsolicited importance, but its obviating agent-phosphating- has more roles than of a mere preservation. Viz enhancement of lubricating properties for wiredrawing. The efficiencies need be studied, researched and monitored, for respective purpose(s). The modus operandi of protective film developed, in turn apart from improving the quality of product, also depends as to how the process parameters have been controlled. Criticality of the present case …
Published in Journal of Materials & Metallurgical Engineering · Vol. 3, Issue 3, 2013 · pp. 23–27 Read article
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Modelling of Beam Pumping System using Simulation with Case Study
Abstract: The study deals with analyzing the performance of beam pumping system or sucker rod pump (SRP) through automation and counter balancing. In order to operate the pump in an efficient manner, the performance of SRP is also analyzed in the conditions of under balanced, normally balanced and even for precisely balanced wells. The main focus of the work is to troubleshoot by systematic analysis of dynamometer card, correct interpretation and …
Published in Journal of Petroleum Engineering & Technology · Vol. 6, Issue 1, 2016 · pp. 9–24 Read article
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Bioanalytical Method Development and Validation for the Estimation of Levothyroxine in Human K₃EDTA Plasma by Using UPLC-MS/MS
Abstract: A rapid, sensitive, and highly selective UPLC-MS/MS method was developed and validated for the quantitative estimation of Levothyroxine in human plasma using Levothyroxine-D₃ as the internal standard (IS). Chromatographic separation was achieved on a Gemini NX-C18 column (50 × 3.0 mm, 3 µm) with a mobile phase consisting of acetonitrile and water (70:30, v/v) containing 0.015% formic acid at a flow rate of 0.5 mL/min. The total run time was …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 3, 2025 · pp. 32–46 Read article
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Monitoring the Effectiveness of Water-Based Plants for the Inhibition of Metal
Abstract: The temperature performance profile of the plant extracts shows that inhibition efficiency increased with increasing temperature of the system until at about 323K at 9.00hrs immersion time where a decline in inhibition efficiency occurred implying the opposite at higher temperatures and longer immersion time. Corrosion rate parameters changed with rise in temperature and exposure – immersion time. Plots of rates of corrosion against the volume(s) of the test inhibitor(s) in …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 1, 2026 · pp. 37–46 Read article
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Greenhouse House Monitoring and Controlling using Android Application
Abstract: AbstractGreenhouse monitoring and controlling system is made to ease the maintenance of the entire system of green house and to get optimum growth of plants. With the help of useful sensors like soil moisture sensor, temperature sensor and LDR interfaced with help of Arduino, we are gathering the required data and controlling different parameters that are required for better results by setting a predefined threshold value to controllers. Along with …
Published in Current Trends in Information Technology · Vol. 7, Issue 3, 2017 · pp. 24–28 Read article
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IoT-Enabled Remote Patient Monitoring System Using Wearable Sensors
Abstract: In recent years, the Internet of Things (IoT) has revolutionized healthcare by enabling seamless connectivity between patients, medical devices, and healthcare professionals. The increasing demand for continuous health monitoring and early disease detection has driven the development of IoT-based remote patient monitoring systems. This paper presents an IoT-enabled framework that integrates wearable physiological sensors, wireless communication modules, and cloud- based analytics to facilitate real-time health tracking. The proposed system continuously …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 1, 2026 · pp. 1–14 Read article
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From Sensors to Smartphones: Evaluating the Blynk IoT Smart Plant Monitoring System for Modern Gardening
Abstract: In our technologically advanced era, where automation permeates every aspect of our lives, even plants have been transformed into smart entities. This article explores the integration of various technical components to imbue plants with self-maintenance capabilities, eliminating the need for human intervention. The system discussed herein regulates moisture levels and temperature within plants, ensuring optimal growing conditions. It incorporates alerts to notify users of deviations from preset parameters and activates …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 18–27 Read article
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Role of Topical Onion Extract in Scar Management at Donor Site
Abstract: Scarring is commonly caused by an imbalance between collagen synthesis and degradation. One promising approach to mitigate scar formation involves the use of onion extract, known for its ability to inhibit fibroblast activity, which plays a key role in the development of scars. Despite the widespread use of onion extract in various commercial scar treatment products, the exact molecular mechanisms through which it exerts its scar-reducing effects remain unclear.This study …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 2, 2024 · pp. 7–11 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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Some Plant Extracts Potential in Cleaning Soil Environment Contaminated with Petroleum Hydrocarbon
Abstract: This research considered the trend of some agro-based plant extracts obtained from paw paw, mango and aloe-vera leaves for the purpose of treatment of a contaminated soil environment. The potential of each agro-based plant extract was tested with respect to its ability in the area of petroleum hydrocarbon clean-up in soil environment. The impact of the variation on the pH on each of the bioreactor set-up was monitored and the …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 27–39 Read article
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Management of Waste Generated in Steel Rerolling Industries of Nepal
Abstract: The study on nature and management of waste generated in iron & steel industries of Nepal provides an overview of the nature and type of waste generated and their current management practices. The purpose of the study was to identify the nature of waste generated in iron and steel industries of Nepal and recommend appropriate measures for its management. For this study, five iron & steel industries were visited to …
Published in Journal of Industrial Safety Engineering · Vol. 7, Issue 3, 2020 · pp. 1–7 Read article
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Potable Water Quality Analysis of Akbarpura, KPK, Pakistan
Abstract: In Pakistan, supply of safe drinking water of international standard is very limited. Only around 30% population has access to piped drinking water, which has rarely been completely tested for health safety. About 70% population is drinking water of unknown quality. The only testing comes through human consumption and getting sick. This study is designed to investigate the water quality problems of Akbarpura, Khyber Pukhtunkhwa. Samples were collected from the …
Published in Recent Trends in Civil Engineering & Technology · Vol. 5, Issue 1, 2015 · pp. 19–27 Read article
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The Convergence of AI and Composites - A Review Anchored in Patent Trends
Abstract: The integration of artificial intelligence (AI) and machine learning (ML) techniques is revolutionizing the design, analysis, and optimization of polymer (PC/FRP), metal (MC), and ceramic matrix composites (CC). Techniques such as artificial neural networks (ANN), deep learning (DL), genetic algorithms (GA), and physics-informed machine learning (PIML) are employed to enhance property estimation, process optimization, and predictive modeling. These AI-driven frameworks enable virtual testing, application-specific material design, and real-time decision-making, while …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 182–198 Read article