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862 articles for “Data Monitoring”
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Real Time Stability Index for Angle Stability Assessment Using Synchrophasor Data
Abstract: The stress on the power transmission network has been increasing in recent time due to deregulated energy market, environmental constraints and limited investment in the transmission system. Hence, the power system is enforced to operate nearer to the stability limit and due to which it is required to estimate the system operating point as fast as possible with higher accuracy to maintain the system stability. The objective of this paper …
Published in Journal of Power Electronics and Power Systems · Vol. 5, Issue 3, 2015 · pp. 65–75 Read article
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Development of Mathematical Model to Predict Annual Runoff in Port Harcourt City, Rivers State, Nigeria
Abstract: This paper is aimed at monitoring and predicting annual runoff of Port Harcourt city for a classified area type and flat land of 0–5% slope. Mathematical models were developed to monitor and simulate annual runoff of an area type of 30% impervious (paved), 50% impervious (paved) and 70% impervious (paved) within the Port Harcourt city. The analysis of annual rainfall and annual runoff data gives a coefficient of determination of …
Published in Journal of Water Resource Engineering and Management · Vol. 5, Issue 2, 2018 · pp. 29–36 Read article
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An IoT-Based Integrated Vehicle Safety System for Accident Detection and Driver Monitoring
Abstract: Driver fatigue, alcohol and slow response of emergency services are among a significant issue of road accidents. The paper will provide a real-life example of an IoT-based vehicle safety system, which will combine the accident detection, driver drowsiness and alcohol sensors with a cohesive system. The proposed system consists of use of accelerometer for sudden collision detection, infrared eye blink sensor for determining alertness of the driver and MQ-3 alcohol …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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Partograph Utilization and Associated Factors among Graduating Health Professional Students in Asella Referral and Teaching Hospital, Ethiopia, 2016
Abstract: Background: Outcome of labor and delivery are unpredictable events, which if not monitored properly can result in a maternal and fatal mortality and morbidity. The World Health Organization (WHO) promotes the use of the partograph to monitor and improve the management of labor and to support decision-making regarding interventions.Objective: This study aimed to assess proper utilization of partograph and its associated factors.Methodology: This cross-sectional study was conducted on 127 participants …
Published in Research and Reviews : Journal of Computational Biology · Vol. 6, Issue 2, 2017 · pp. 12–18 Read article
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LTE & 5G NR Carrier Aggregation Network Optimization through Advanced Measurement Configuration
Abstract: The ability to merge numerous frequency carriers—component carriers—to increase transmission bandwidth and throughput speeds over what can be achieved with a single carrier is known as carrier aggregation, and it is a crucial technology in 4G LTE and 5G networks. Cellular devices may attain gigabit data speeds by combining carriers from several frequency bands, such as 600 MHz to mm Wave frequencies, to increase downlink and uplink capacity. This study …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 2, 2023 · pp. 35–45 Read article
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A Remote Sensing Approach for Monitoring Seasonal Variations in the Water Quality of Lake Guaiba, Southern Brazil
Abstract: Freshwater resources in the tropics are subjected to high rate of pollution due to algal blooms during the summer and due to particulate and organic waste discharge from urban areas during spring. Landsat TM images were used to calculate biochemical oxygen demand and turbidity of Lake Guaiba in Southern Brazil during 2010–2011. The results obtained were compared with the values derived from a yearlong sampling data which were analyzed in …
Published in Recent Trends in Civil Engineering & Technology · Vol. 4, Issue 1, 2014 · pp. 1–10 Read article
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Self-Powered Piezoelectric Nano-Polymer Networks with Embedded Wireless Nodes for Distributed IoT Sensor Platforms
Abstract: Self-powered sensing systems are emerging as a promising solution for next-generation distributed Internet of Things (IoT) platforms, where lightweight, flexible, and low-maintenance devices are required for continuous monitoring. In this work, a self-powered piezoelectric nano-polymer network based on poly-vinylidene fluoride (PVDF) reinforced with BaTiO₃ nanoparticles and multiwalled carbon nanotubes (MWCNTs) was developed for flexible wireless sensing applications. The composite was designed to combine mechanical flexibility, enhanced piezoelectric response, and real-time …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Implementation of a Smart Helmet for Safety and Monitoring using IoT and Sensor Integration
Abstract: The Smart Helmet is a revolutionary safety helmet that incorporates advanced technology to advanceuser protection, connectivity, and real-time awareness. The helmet, intended for motorcyclists,cyclists, and workers, comes with integral sensors for impact sensing and alcohol level checking, GPS tracking, Bluetooth voice communication, and monitoring of vital signs. The features combine to provide smart accident detection and avoidance, hands-free talk, and real-time location tracking. In case of an accident or dangerous …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 2, 2025 · pp. 15–25 Read article
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Treatment Approaches in Intracranial Hypertension: A Review
Abstract: Intracranial hypertension is considered, when intracranial pressure (ICP) increases above 20 mmHg for a period of more than 5 min. A persistent rise in ICP produces compression effect over cerebral vasculature and reduces cerebral blood flow (CBF) and cerebral perfusion pressure (CPP). It results in brain stem compression and herniation, if left untreated. A systematic assessment of clinical status, serial and continuous monitoring of vital parameters and evidence based therapeutic …
Published in Journal of Nursing Science & Practice · Vol. 6, Issue 3, 2016 · pp. 10–19 Read article
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Vision Sense Rover
Abstract: This paper presents the design and implementation of an autonomous obstacle-avoiding robotic system utilizing an Arduino Uno microcontroller, an ultrasonic distance measurement module, a servo-based scanning mechanism, an L298N motor driver module, and an ESP32-CAM for real-time visual monitoring. The proposed system is developed to operate without human intervention, using sensor- driven decision making for navigation. The ultrasonic sensor continuously measures the distance to adjacent obstacles, while the servo motor …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 38–43 Read article
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A Realistic Approach Based on Internet of Things (IoT) for Solar Panel Health Monitoring
Abstract: AbstractSolar energy vitality is generally accessible all through the world and can add to limit the reliance on vitality imports. The internet of things has a dream in which the web stretches out into this present reality grasping regular articles. As renewable vitality developed at a rate speedier than some other time in history amid this period. The proposed framework alludes to the online show of the remote observing framework …
Published in Recent Trends in Sensor Research & Technology · Vol. 4, Issue 3, 2017 · pp. 25–31 Read article
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EMOTION RECOGNITION FROM ELECTROENCEPHALOGRAM SIGNAL AND EYE MOVEMENT BASED ON DEEP LEARNING
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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AI-Powered Emotion Recognition in Dog
Abstract: Understanding animal emotions is important for improving veterinary care, human animal interaction, and overall pet well-being. Inspired by previous research that utilized a modified EfficientNetB5 model for emotion classification in cats and dogs, our study builds upon this foundation with a focus on real-time emotion recognition in dogs. While earlier approaches achieved high accuracy using Dense Residual and Squeeze-and-Excitation blocks, they often lacked real-time applicability and were not optimized for …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 20–32 Read article
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IoT-Based Battery Health Monitoring for Electric Vehicles Using Machine Learning
Abstract: With increasing utilization of the Electric Vehicles (EV)s in global scale, battery health management becomes a critical factor which has great impact on vehicle performance, safety and longevity. Battery materials, such as NMC LFP lithium-ion batteries and lithium-ion batteries, degrade over time from charging behaviour, heat stress, discharging voltage profiles and environmental limits. Conventional BMS only offer threshold based health diagnostics and cannot perform accurate degradation prediction. This work presents …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 8–12 Read article
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Sensor Based Agriculture – An approach Towards Better Agriculture Management
Abstract: Agriculture plays a crucial role in India's economy, and nowadays, it has become more data-driven and advanced. This paper discusses how sensors are being used in agriculture to make it smarter and more precise. Different types of sensors are available for specific tasks in farming, like checking soil conditions, monitoring crop status, managing irrigation, detecting insects, and studying environmental effects. Farmers are benefiting from these sensors throughout the entire crop …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 2, 2023 · pp. 1–8 Read article
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Enhancing Remote Patient Monitoring with Ai-Powered Virtual Assistants
Abstract: Artificial Intelligence (AI) is transforming personalized education by tailoring learning materials to meet the distinct needs, preferences, and progress of individual students. This paper explores how AI technologies—such as machine learning, natural language processing, and adaptive learning systems are improving the effectiveness of personalized learning experiences. Through AI, students benefit from timely feedback, access to intelligent tutoring systems, and data-driven insights that enable educators to enhance their teaching strategies. Additionally, …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 Read article
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Non-Invasive Glucose Monitoring Device Using Max30102 Sensor
Abstract: Diabetes mellitus is a chronic metabolic disorder affecting millions globally, requiring continuous blood glucose monitoring to prevent complications such as cardiovascular disease, kidney failure, neuropathy, and retinopathy. Conventional invasive finger- prick techniques result in pain, skin irritation, and an increased risk of infection, which lowers patient compliance, particularly in young patients and the elderly. This paper presents a non-invasive glucose monitoring prototype using the MAX30102 optical biosensor interfaced with the …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 1, 2026 · pp. 36–44 Read article
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Assessment of Chlorides In The Water Samples And Its Absorption By Thermosetting Polymer Phenol Formaldehyde Resin
Abstract: Assessing chloride levels in water samples is critical for monitoring water quality and ensuring environmental and public health protection. This study presents a comprehensive methodology for estimating chloride concentrations in water samples through various analytical techniques, including titration. Results obtained from each method were compared and discussed to evaluate their accuracy, and applicability in different environmental settings. The data shows that the samalkot drinking water sample has a relatively high …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 91–98 Read article
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Evolving Face of Quality in The World Robotics Process Automation (RPA)
Abstract: Robotics Process Automation (RPA) is a technology that automates repetitive and rule-based tasks using software robots or "bots." These bots mimic human interactions with digital systems and perform tasks like data entry, validation, report generation, and system integration. RPA leverages AI and ML to improve operational efficiency and can be applied across industries and functions. Implementing RPA offers benefits such as error reduction, productivity enhancement, and cost savings. RPA is …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 1, Issue 1, 2023 · pp. 1–9 Read article
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Real-Time Supply Chain Monitoring with Blockchain: A Decentralized Approach
Abstract: This study presents the development and implementation of a Blockchain-Enhanced Shipment Management and Tracking System (SMTS) to address key challenges in the logistics and shipping industry, such as inefficiencies, lack of transparency, security concerns, and high operational costs. Utilizing blockchain technology, particularly Hyperledger Fabric, the SMTS creates a decentralized, immutable ledger that enhances real-time shipment tracking, ensures data integrity, and improves security by reducing fraud and unauthorized tampering. Smart contracts …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 Read article