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274 articles for “Parameter monitoring”
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Study on the Mechanical Properties of Additively Manufactured Metallic Structures
Abstract: A revolutionary technology that has made it possible to produce intricate metallic structures with customized mechanical properties is additive manufacturing, or AM. An extensive analysis of the mechanical properties of metallic components made using additive manufacturing processesis presented in this paper. The study explores how material choice, post-processing techniques, and process parameters affect the mechanical behavior of AM metallic structures. By examining tensile strength, fatigue characteristics, hardness, ductility, impact resistance, …
Published in Journal of Experimental & Applied Mechanics · Vol. 14, Issue 3, 2023 · pp. 1–6 Read article
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A Study to Assess the Add-on Impact of Ayurvedic Management along with Ongoing Conventional Treatment of Diabetes Mellitus: A Randomized Clinical Trial
Abstract: Diabetes mellitus is a metabolic disorder of multiple etiologies characterized by chronic hyperglycemia with disbalance of carbohydrate, fat and protein metabolism resulting from defects in insulin secretion, action, or both. Diabetes affects millions and thus is a major public health disease among with adults aged 30+. Available treatment although helps but many develop other side effects to complicate the issue. Ayurveda offers options to manage diabetes without complications. Present study …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 8, Issue 1, 2021 · pp. 15–22 Read article
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IoT-Based Manhole Detection and Monitoring System
Abstract: Urban drainage systems face numerous challenges, including blockages, harmful gas accumulation, and flooding, which pose risks to public safety and environmental health. This project introduces an IoT-enabled solution designed to monitor and address these issues efficiently. The system incorporates sensors to detect critical parameters such as gas levels, temperature, water presence, and nearby obstacles. A unique lifting mechanism ensures the hardware adapts to challenging conditions, maintaining uninterrupted operation. The system …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 1–6 Read article
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A Study to Assess the Add-on Impact of Ayurvedic Management along with Ongoing Conventional Treatment of Diabetes Mellitus: A Randomized Clinical Trial
Abstract: Diabetes affects millions and thus is a major public health disease among with adults aged 30+. Available treatment although helps but many develop other side effects to complicate the issue. Ayurveda offers options to manage diabetes without complications. Present study is to see the add-on effect of Ayurveda therapy among persons on modern medicines. Ayurveda D4 combination is Jamunbeej and Gudmarpatra 5 gm churna each before breakfast and dinner and …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy Read article
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Investigation of the Solvent Extraction Using Alcohol and Water on Bryophylum pinnatum Leaves for Total Petroleum Hydrocarbon Degradation on Loamy Soil
Abstract: Investigation of the solvent extraction using alcohol and water on Bryophylum pinnatum leaves for total petroleum hydrocarbon degradation on loamy soil was monitored for the purpose of evaluating the Micheal’s Menten functional parameters as well as the coefficients. The maximum specific rate of the total petroleum hydrocarbon (TPH), which was expressed as Vmax and the rate of the dissociation of the TPH, which is denoted as Km was computed in …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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Artificial intelligence-integrated nanobiotechnology for precision medicine, smart diagnostics, and sustainable environmental applications
Abstract: Background: Nanobiotechnology integrates nanoscale materials with biological systems, enabling breakthroughs in drug delivery, biosensing, and environmental monitoring. However, the complexity of biological interactions and the vast parameter space of nano‑bio interfaces limit conventional design. Artificial intelligence (AI) offers powerful tools for modelling, predicting, and optimising these systems.Objective: This review provides a systematic, STM‑compliant overview of AI‑integrated nanobiotechnology across three domains: precision medicine (AI‑optimised nanocarriers, personalised therapeutics), smart diagnostics (AI‑powered nano‑biosensors, …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 Read article
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IoT-Connected Transparent Conductive Polymer–Silver Nano-Wire Electrodes for Real-Time Performance Monitoring of Flexible Solar Panels
Abstract: Flexible photovoltaic technologies have emerged as promising energy harvesting solutions for wearable electronics, portable power systems, and Internet of Things (IoT)-enabled smart devices. However, the limited mechanical durability of conventional transparent conductive electrodes and the lack of integrated real-time monitoring restrict their long-term reliability. This study presents an IoT-connected transparent conductive polymer–silver nanowire (PEDOT:PSS–AgNW) hybrid electrode for flexible solar panels, combining high optoelectronic performance with continuous wireless performance monitoring. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 1–18 Read article
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Deep Learning for Real-Time Monitoring and Defect Detection in Additive Manufactured Polymer Composites
Abstract: Additives Fiber-reinforced polymer composite ADDs have high utility in making lightweight structural components, but due to process-related defects (interlayer delamination and reinforcement stacking) the integrity of consolidation during extrusion-based deposition is frequently compromised. This paper has presented a physics-informed deep learning framework that is applicable to real-time measurements of reinforced thermoplastic composite fabrication. Multimodal sensing was provided with thermal gradient, optical morphology, and acoustics emission signals being used to assess …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 974–999 Read article
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Innovative Biosensor Applications in Petroleum Industry for Enhanced Monitoring and Safety Measures
Abstract: The petroleum industry is fundamental to the global economy, providing the energy and raw materials that drive modern society. However, this industry faces a myriad of challenges, including ensuring the safety of operations, monitoring critical processes effectively, and minimizing environmental impacts. Traditional monitoring techniques, while valuable, often fall short in delivering real-time data and comprehensive insights into operational parameters. These limitations can result in delayed responses to potential hazards and …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 1–13 Read article
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Optimization of Maximum Charge Per Delay Using Site-Specific Ground Vibration Prediction Models for Safe Blasting in an Opencast Coal Mine
Abstract: Drilling and blasting are critical operations in opencast coal mining that directly influence rock fragmentation, excavation efficiency, and production performance. However, excessive blast-induced ground vibration and air overpressure can create safety and environmental concerns, particularly in mines located near villages and sensitive structures. The present study was conducted at Chapapur-II Colliery, Mugma Area, Eastern Coalfields Limited (ECL), with the objective of optimizing blast design through the determination of safe maximum …
Published in Journal of Geotechnical Engineering · Vol. 13, Issue 2, 2026 · pp. 1–13 Read article
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Experimental Study on Load Transfer Mechanism in Columns Retrofitted by Bonding Precast Segments and FRP Wrapping
Abstract: An experimental study was conducted to investigate the load transfer mechanism in columns retrofitted with precast segments and Fiber-Reinforced Polymer (FRP) wrapping. As the demand for structural retrofitting grows, it becomes crucial to comprehend the behavior and effectiveness of retrofit techniques to ensure the safety and integrity of existing infrastructure. The study involved subjecting a series of column specimens to axial compression loads in order to evaluate the load transfer …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 153–165 Read article
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Autonomous Calibration of Medical Devices Using Synthetic Biosignals and Adaptive Learning
Abstract: The accuracy and reliability of modern biomedical diagnostic devices are critically dependent on effective calibration mechanisms capable of handling dynamic physiological and environmental variations. Conventional calibration approaches, which rely on static reference signals and manual adjustments, are inadequate in addressing challenges such as sensor drift, noise interference, motion artifacts, and long-term performance degradation. To overcome these limitations, this research proposes an innovative AI-driven adaptive biosignal simulation and calibration architecture for …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
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VELOCITYAND OXYGEN DEFICITT INFLUENCE ON THE TRANSPORT OF FRANCISELA IN ELEME CREEK
Abstract: The purpose of this paper is to monitor velocity and oxygen deficit effect on the transport of francisela in Eleme creek, a steady state advection-diffusion-reaction on the transport process were observed in the system, in other to developed the various rate of concentration, constant oxygen deficit and velocity were also monitored in the study, the system express high to low concentration in all the locations that were examined on the …
Published in Journal of Water Resource Engineering and Management · Vol. 6, Issue 2, 2019 · pp. 47–52 Read article
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Transport Model of Nickel Deposition Influenced by Heterogeneous Velocity and Permeability on Saturated Soils
Abstract: Transport model of nickel was developed to monitor the variation rate of infiltration in two different formations of the soil. Its study in the formations and depositions observed to be outside the deltaic zone. These are based on other investigation carried out that verifies the types of deposited formation in the environment. Such generated information from further findings developed lots of other significant information on this deposition. The research expresses …
Published in Journal of Materials & Metallurgical Engineering · Vol. 12, Issue 1, 2022 · pp. 34–58 Read article
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Android App-based Control and Parameter Update in Cloud
Abstract: The convergence of cloud computing and mobile technologies has paved the way for innovative solutions in various domains. This abstract explores the development of an Android application for controlling and updating parameters in the cloud. The proposed system leverages the ubiquity and versatility of smartphones to provide users with seamless control over cloud-based services and applications. The Android app serves as an intuitive interface through which users can remotely access …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 3, 2023 · pp. 13–20 Read article
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Acquisition of Multiple Process Parameters and Report Generation using IOT
Abstract: AbstractControlling any device in any process is a common thing nowadays. In the era of robotics and latest technologies but controlling any device with the LABVIEW and IOT will be somewhat exciting. In this project, authors are trying to develop a system where we can monitor device using LABVIEW and IOT. Since the increase in IOT has led to the generation of data in very large amount and that data …
Published in Journal of Instrumentation Technology & Innovations · Vol. 8, Issue 2, 2018 · pp. 31–35 Read article
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AUTOMATED FAULT IDENTIFICATION AND TRACKING IN POWER TRANSMISSION NETWORKS USING GPS
Abstract: Power transmission lines are vulnerable to faults caused by environmental factors, aging infrastructure, and external disturbances such as falling trees or animal contact. Prompt and accurate detection and location of these faults are essential to ensure uninterrupted power delivery, reduce equipment damage, and minimize downtime. This project presents an automatic fault detection and location system using GPS technology integrated with a microcontroller-based sensing module. The proposed system continuously monitors voltage …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 37–43 Read article
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Soldiers Security System using Arduino
Abstract: AbstractIn today’s era enemy’s warfare is imp factor in our nation’s security, and soldiers play a vital role in it. Soldiers is one of the most imp aspects of any country, they have a responsibility of whole nation so the security of soldiers is considered as an most imp role. It’s our duty to equip soldiers with better advanced technology. There are many concerns regarding the safety of soldier and …
Published in Journal of Microcontroller Engineering and Applications · Vol. 7, Issue 2, 2020 · pp. 35–40 Read article
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Advanced Sensor Technologies for Real Time Water Quality Monitoring and Prevention of Pollution
Abstract: SDG 14 is designated as "Life Below Water." The United Nations established 17 global objectives in 2015. These fall under the parameters of the 2030 Agenda for Sustainable Development. This mission aims to preserve and utilize oceans, seas, and marine resources sustainably to foster peace, equality, and inclusivity. Marine life involves multiple objectives and metrics reliant on oceans for sustenance, climatic stabilization, and economic endeavours. The oceans encompass nearly 70% …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 9–14 Read article
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Use of Artificial Intelligence to Access and Ensure Safe Drinking Water Supply: A Review
Abstract: Ensuring access to safe drinking water is a critical public health challenge. Traditional water quality assessment methods are often labor-intensive and time-consuming. Artificial intelligence offers a promising alternative, providing rapid, accurate, and scalable solutions for monitoring and predicting water quality. This systematic review examines the application of AI. The review highlights various AI models, including artificial neural networks, support vector machines, decision trees, and ensemble methods, in predicting water quality …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 21–28 Read article