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77 articles for “Real-Time Monitoring”

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Research ArticleOpen accessPhrase in the titleReal-Time Monitoring and Injury Risk Warning Algorithm Based on Data Fusion of Motor Muscle ContractionGuomin Wang, Jingying HuangThe existing sports injury warning algorithms are difficult to achieve dynamic injury risk modeling based on individual muscle characteristics while ensuring real-time fusion efficiency of multimodal signals. This article proposes a real-time muscle contraction state perception and injury risk warning algorithm based on adaptive weighted feature fusion and lightweight temporal modeling. The system synchronously collected surface electromyography (sEMG), Inertial Measurement … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 3 · 10 Aug 2026 · 1,089 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDesign of Arm Based Real Time Personnel Monitoring System Using Wi-Fi TechnologyRekha George, Varghese PaulNowadays we constantly come across the need to transfer remote data to monitor center which will be far away from the place of data acquisition. Traditional data acquisition system using wires cannot satisfy these requirements due to its heavy cost and impracticability. Embedded devices with network communication which makes it more powerful and easier to monitor and control remote data, … …American Journal of Applied Sciences, Vol. 10, Issue 8 · 24 Jul 2013 · 6,483 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Scalable Big Data Framework for Real-Time Traffic Monitoring SystemWilfried Yves Hamilton Adoni, Najib Ben Aoun et al.Inthis study, a scalable and real-time intelligent transportation system based ona big data framework is presented. The proposed system allows for the use ofexisting data from road sensors to better understand traffic flow, and travelerbehavior and increase road network performance. Our transportation system isdesigned to process large-scale stream data to analyze traffic events such asincidents, crashes, and congestion. The experiments … …Journal of Computer Science, Vol. 18, Issue 9 · 7 Sep 2022 · 6,791 accessesView PDFCite
Review ArticleOpen accessIn the keywordsCognitive Workload Assessment: A Comprehensive ReviewNegin Ozve Aminian, William Michael, Mehdi GhoreyshiMental workload during high-effort tasks is a crucial measure of effective task performance. Maintaining cognitive demands within an individual's capacity enables the effective performance of complex multi-tasking. Conversely, surpassing this margin may lead to unpredictable and suboptimal performance. This review explores human mental workload assessment across real-world tasks like aircraft piloting, vehicle driving under challenging conditions, and automated power plant … …Journal of Aircraft and Spacecraft Technology, Vol. 9, Issue 1 · 20 Aug 2025 · 7,554 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCOMPARATIVE STUDY OF DIFFERENT KALMAN FILTER IMPLEMENTATIONS IN POWER SYSTEM STABILITYH. H. Goh, C. W. Tai, Q. S. Chua et al.Voltage stability and voltage collapse issues have in recent years begun to constitute an unpleasant warning to the operational security of power systems. Many techniques have been investigated in order to predict the point of voltage collapse. However, there are still several restrictions due to the insufficiency of current system state information. Accompanied by the commencement of the Phasor Measurement … …American Journal of Applied Sciences, Vol. 11, Issue 8 · 29 May 2014 · 7,190 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIntegration of Cyber-Physical Systems, Digital Twins and 3D Printing in Advanced Manufacturing: A Synergistic ApproachAntreas Kantaros, Theodore GanetsosThе dynamic fiеld of advancеd manufacturing has sееn a significant transformation with thе convеrgеncе of Cybеr-Physical Systеms (CPS), Digital Twins (DT) and 3D Printing tеchnologiеs. A comprеhеnsivе analysis of thе intеgration of thеsе cutting-еdgе tеchnologiеs is presented, highlighting thеir synеrgistic potеntial and thе impact on thе еcosystеm of industry 4.0. Thе intricatе intеrplay bеtwееn CPS, which amalgamatеs computing еlеmеnts with … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 1 · 19 Jan 2024 · 5,940 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOccupational Safety and Health in Tunnelling in Rocks Formations Potentially Containing Asbestos: Good Practices for Risk Assessment and ManagementDavide Labagnara, Mario Patrucco, Achille SorliniIn tunnelling operations, Occupational Safety and Health (OS&H) and Environmental Protection of the areas close to the tunnel portal become even more critical in case of rock formations potentially containing asbestos, quartz, radioactive elements, etc. In order to limit the workers’ exposure and the environmental impact becomes in these cases of paramount importance to preliminarily analyze and quantify the possible … …American Journal of Applied Sciences, Vol. 13, Issue 5 · 26 May 2016 · 7,646 accessesView PDFCite
Research NotesOpen accessIn the abstractMetadata Stewardship and Quality in Telecom SectorBhola Gan Chaudhuri, Shalli RaniThe spread of the telecom network infrastructure, constellations of satellites and the use of the Internet of Things (IoT) have brought about unprecedented volumes of heterogeneous information which facilitate the contemporary monitoring systems of the environment and the earth. Metadata control and information quality have also become significant in the telecom industry in controlling data reliably, enhancing data services, and … …Journal of Computer Science, Vol. 22, Issue 10 · 22 Oct 2026 · 335 accessesView PDFCite
Review ArticleOpen accessIn the abstractHuman Activity Recognition at the Edge: A Systematic Review of Machine Learning Models, Deployment Constraints, and Latency Energy Accuracy Trade offsJose Antonio Rojas Guillén, Wini Ebelin Quispe Bautista, Arturo Gamarra MorenoHuman Activity Recognition (HAR) has become a key component of intelligent healthcare monitoring, assisted living, sports analytics, smart environments, and wearable computing. However, the migration of HAR models from cloud-centered architectures to edge, embedded, mobile, and wearable platforms introduces constraints related to computational capacity, memory footprint, battery consumption, inference time, and real-time responsiveness. This study presents a systematic literature review … …Journal of Computer Science, Vol. 22, Issue 8 · 7 Sep 2026 · 593 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid BiGRU-BiLSTM Model for Real-Time ECG Arrhythmia Detection Using Wearable SensorsPrem Narayan Singh, Rajendra Prasad MahapatraAccurate and real-time detection of cardiac arrhythmias is essential for timely medical intervention. Advances in wearable devices and deep learning have made it feasible to continuously monitor electrocardiogram (ECG) signals, facilitating early identification of abnormal heart rhythms. For arrhythmia detection, this study presents a hybrid deep learning architecture combining Bidirectional Gated Recurrent Units (Bi-GRU) and Bidirectional Long Short-Term Memory (Bi-LSTM). … …Journal of Computer Science, Vol. 22, Issue 5 · 5 Jun 2026 · 1,331 accessesView PDFCite