Search
274 articles for “Parameter monitoring”
-
GSM Based Coal Miners Safety Monitoring Helmet
Abstract: A Coal Miners sensible Helmet is a wearable device that will facilitate coal miners keep safe. Observance the protection of coal miners' operating conditions are often finished in this device. It monitors the temperature, humidity, harmful gas concentration, and vibration. The information is analyzed and sent to the room and therefore the room decides that action must be taken supported the parameters sent. This paper uses LoRa communication technology alongside …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 2, 2022 · pp. 13–18 Read article
-
Application of Virtual Instruments in Data Monitoring & Logging
Abstract: Data Acquisition is the process of real world physical conditions and conversion of the resulting samples into digital numeric values that can be manipulated by a computer. This system is used to measure various parameters in the industry such as pressure, temperature of plant, control room temperature, combustible gas level, humidity, weight of the product, etc. This paper shows a cost effective way to design and develop LabView based Data …
Published in Journal of Control & Instrumentation · Vol. 5, Issue 1, 2014 · pp. 1–4 Read article
-
INDUCTION MOTOR FAULT DETECTION USING IoT
Abstract: The induction motor failure detection system proposed in this research is based on the Internet of Things and uses an ESP32, vibration, current, temperature, IR, and Blynk app. An Internet of Things (IoT)-based fault detection system uses sensors to monitor the motor's condition and transmits the information to a cloud-based platform. The cloud-based software may then analyze the data to identify issues and alert maintenance personnel.An overview of an Internet …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 1, 2024 Read article
-
Data-Driven Machine Learning Approach for Vehicle Fuel Economy Prediction and Performance Monitoring Using Real-World OBD Data
Abstract: Modern passenger vehicles generate large volumes of operational data through On-Board Diagnostics (OBD) systems, enabling continuous observation of vehicle performance under real-world driving conditions. However, much of the existing research mainly analyses previously recorded data and does not provide predictive mechanisms for monitoring vehicle performance under dynamically varying operating conditions. This study presents an AI and machine learning–based method for predicting and monitoring real-world vehicle performance and fuel economy using …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 47–66 Read article
-
Feature Extraction and Analysis of Bearing Faults: A Review
Abstract: One of the most important steps in identifying bearing problems is feature extraction. In order to provide a more meaningful dataset, it entails locating and extracting pertinent features from raw bearing vibration signals. Tasks involving categorization and prediction can then make use of these attributes. In many practical applications, such as monitoring rotating machinery or electronic components, the raw signals collected (e.g., vibration, current, temperature) are often complex, high-dimensional, and …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 20–28 Read article
-
Comparative Study of Change Detection Methods in High Resolution Images
Abstract: Natural phenomena including weathering, erosion, volcanic eruptions, and plate tectonics, as well as human activities like agriculture, deforestation, and urbanization, cause the Earth's surface to change continuously. In many different applications, such as environmental monitoring, disaster management, urban planning, agriculture and forestry, climate change studies, resource management, and infrastructure monitoring, it may be extremely beneficial to detect and track these changes. There are various algorithms and methods proposed by many …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 1–5 Read article
-
Hardware Implementation of IoT-based Health Monitoring of Three-phase Induction Motor
Abstract: In this project, a wireless monitoring system for three-phase induction motor is realized usingIoT (internet of things), where wired communication is either more expensive or impossibledue to physical conditions and human hazards for safe and economic data communication inindustrial fields. The parameters such as phase current, speed, vibrations and temperature aremonitored by Raspberry Pi and then send these values on cloud. The aim of this project is tomonitor and acquire …
Published in Journal of Power Electronics and Power Systems · Vol. 9, Issue 3, 2019 · pp. 43–49 Read article
-
Study to evaluate and correlate the levels of heavy metals in dental calculus of burnt tobacco (Mishri) users and non-tobacco users with their periodontal status Using Atomic Absorption Spectrometry (AAS)
Abstract: The use of burnt tobacco products, such as Mishri, is associated with numerous health risks, including periodontal diseases. Heavy metals present in tobacco can accumulate in dental calculus, potentially exacerbating periodontal conditions. This study aimed to assess and establish a correlation between the levels of heavy metals present in dental calculus among burnt tobacco (Mishri) users and non-tobacco users, in relation to their periodontal health status. Utilizing Atomic Absorption Spectrometry …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 166–174 Read article
-
Optimization of Pesticide Requirement Calculations for IoT-Operated Hexacopter Delivery Systems
Abstract: The integration of Internet of Things (IoT) technology into precision agriculture has transformed pesticide application strategies, enabling resource-efficient and environmentally sustainable practices. This study presents a computational methodology for optimizing pesticide requirements in an IoT-operated hexacopter system, designed for dynamic, data-driven pesticide delivery. Leveraging a fusion of real-time telemetric data from onboard LiDAR, multispectral imaging sensors, and environmental monitoring modules, the system employs predictive analytics and edge computing to calculate …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 08–14 Read article
-
Modeling and Simulation to Monitor Dissolved Nitrogen Depositions in Eleme Streams, River State
Abstract: This paper monitor the dissolved nitrogen deposition in stream, the study observed high rate of nitrogen content in the stream, the result from physiochemical analysis shows the rate and variation of nitrogen concentration, this pollution content were monitored applying modeling and simulation, the predictive values were generated from different stations, the result shows decreasing rate of dissolved nitrogen from all the stations, the results expresses in every points of observation …
Published in Journal of Water Resource Engineering and Management · Vol. 7, Issue 2, 2020 · pp. 23–37 Read article
-
Nano-Therapeutics in Diabetes Mellitus: Revolutionizing Diagnosis, Treatment, and Drug Delivery
Abstract: Diabetes mellitus is a chronic metabolic disorder in which blood glucose concentration remains high over an extended duration, resulting in significant lethal complications, including neuropathy, nephropathy and cardiovascular diseases. However, conventional diabetes management strategies, including insulin therapy and oral hypoglycemic agents, rarely exhibit poor bioavailability, high doses, off target delivery, etc. Nanotechnology has brought the rise of diabetes treatment revolution, by overcoming the challenges present in standard treatment, owing to …
Published in Trends in Drug Delivery · Vol. 12, Issue 2, 2025 · pp. 08–19 Read article
-
Android Based Heart Rate Variability and Body Temperature Monitoring System
Abstract: The inventions of the new technologies in the medical field are needed to improve the health system. There are many existing technologies which help in prevention of disease and regulation of patient health and have empowered the evolution of fields such as health-care monitoring. This research work presents the heart rate monitor, body temperature measurement, displaying and data-collecting at android mobile device. Heart rate, heart rate variability and temperature of …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 6, Issue 3, 2017 · pp. 11–15 Read article
-
Steel Structural and Functional Characteristics Focusing on Corrosion Mechanisms
Abstract: This research article examines steel structural and functional characteristics, focusing on corrosion mechanisms and inhibitor protection strategies. Steel corrosion affects numerous industries, causing significant economic losses and safety risks. Fundamental electrochemical processes behind various corrosion forms including uniform, pitting, crevice, galvanic, intergranular, and stress-induced corrosion are explained. The chapter highlights the steel industry's importance while investigating how corrosion impacts performance and longevity. Protection methods discussed include material selection, environmental modification, …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 25–34 Read article
-
Toxicological Evaluation Of Two Nigerian Refinery Effluents Using Natural Biomonitors
Abstract: Abstract The present study aimed to evaluate the toxic effects of two Nigerian refineries’ effluents using natural bio-monitors. Standard physicochemical analysis, toxi-chromo test using mutant E. coli and sub-chronic animal toxicity testing with emphasis on tissue heavy metal accumulation, biochemical parameters and histopathology, were adopted during the study. The physicochemical results revealed that the two effluent samples are highly polluted although PH sample was more polluted than the Warri sample. …
Published in Research and Reviews: A Journal of Toxicology · Vol. 10, Issue 2, 2020 · pp. 22–31 Read article
-
Smart Polymer Composite Scaffolds for Tissue Engineering with Integrated Machine Learning Feedback
Abstract: Another potential solution to improving the results of tissue engineering is smart polymer composite scaffolds, which are capable of dynamic adaptation to changing biological factors, but typical scaffolds cannot change dynamically. This paper suggests a comprehensive system to integrate biodegradable polymer composite scaffolds with sensing and machine learning-based feedback to allow the real-time monitoring and active regulation of tissue regeneration events. The system uses biocompatible materials of PLA/PCL composite of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Parameters of “Safety” in the Food Additive Industry: A Review of Risks and Benefits
Abstract: “Safety is in the eye of the beholder.” What is deemed “safe” by one observer may seem dangerous or risky to others. To approach this apparent quandary and assure ongoing scientific input, most food additives should be tested on laboratory animals and subsequently monitored if approved for human or animal consumption (i.e., parallel to the pathway for the approval of drugs). The term “safety” in the study of the toxicology …
Published in Research and Reviews: A Journal of Toxicology · Vol. 5, Issue 2, 2015 · pp. 7–13 Read article
-
High Gain Observer and Moving Horizon Estimation for Parameters Estimation and Fault Detection of an Induction Machine: A Comparative Study
Abstract: The synthesis of a high gain observer (HGO) and moving horizon estimation (MHE) for the on-line estimation of the rotor fluxes, the rotor speed of the induction motor from the current and voltage measurements is presented. This paper presents two approaches for estimating the parameters of an induction machine during normal and faulty functionning. These approaches are based on the HGO and MHE. Simulation results show that we can identify …
Published in Journal of Control & Instrumentation · Vol. 8, Issue 2, 2017 · pp. 15–26 Read article
-
Forest Fire Detection System
Abstract: The IOT industry is rapidly growing in the current scenario. Each one of us now understands the significance of Internet of Things. At present, it is being used in almost all industries making our lives a bit easier. Forest fires have become a massive threat across the globe, causing numerous negative impacts on human habitats and forest ecosystems. Climatic changes and the greenhouse effect are among the consequences of such …
Published in Journal of VLSI Design Tools and Technology · Vol. 13, Issue 1, 2023 · pp. 1–5 Read article
-
Physiochemical and Microbiological Analysis of Drinking Water from Public Places of Bhimdatta Municipality
Abstract: People on globe are under tremendous threat due to undesired changes in the physical, chemical and biological characteristics of air, water and soil. Due to increased human population, industrialization, use of fertilizers and man-made activity water is highly polluted with different harmful contaminants. Diseases caused by contaminated drinking water and poor hygiene practice are the leading cause of death among human population worldwide. In order to understand the quality of …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 11, Issue 1, 2021 · pp. 18–24 Read article
-
Predictive Maintenance Strategies for Safety-critical Mechanical Systems
Abstract: Ensuring the reliability and safety of industrial systems is essential, especially in high-risk sectors such as aerospace, manufacturing, and energy. Predictive maintenance (PdM) has become a crucial approach for minimizing operational failures and improving maintenance efficiency. This research introduces an advanced PdM framework that enhances industrial safety by integrating Internet of Things (IoT) technology, machine learning (ML), and big data analytics. By enabling real-time monitoring and predictive fault detection, this …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 12–17 Read article