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
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 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
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
Research ArticleOpen accessIn the abstractDesign and Implementation of a Smart File Cabinet System With Enhanced Security and Remote AccessAdebayo Afeez Oluwagbenga, Mustapha Favour, Adebiyi Temidayo Daniel et al.In an era increasingly defined by digital interconnectivity, the physical security of sensitive hard-copy documents remains a persistent vulnerability in organizational infrastructure. Traditional filing cabinets, relying on passive mechanical locks, lack the capability for real-time monitoring, remote access control, or active intrusion detection. This research presents the design and validation of a Smart File Cabinet (SFC) system that bridges this … …Journal of Mechatronics and Robotics, Vol. 10, Issue 1 · 25 May 2026 · 1,696 accessesView PDFCite
Research ArticleOpen accessIn the abstractIoT-Integrated CNN Deep Learning for Automated Breast Cancer Detection and DiagnosisYamini Kalva, R. Ganesh Babu, Sindhu V. et al.Breast cancer continues to be a primary cause of death in women, requiring prompt and accurate diagnosis to enhance treatment results. Traditional diagnostic techniques depend on manual assessment, which leads to possible misclassification, significant inter-observer variability, and delays in decision-making. Current deep learning models, including CNNs, frequently experience feature loss, gradient declining and restricted adaptability to real-time data. To overcome … …Journal of Computer Science, Vol. 22, Issue 4 · 30 Mar 2026 · 1,753 accessesView PDFCite
Research ArticleOpen accessIn the abstractIoT-Based Smart Hydroponic System for Nutrient Management Using Predictive Machine Learning AlgorithmsPalash Gourshettiwar, K. T. V. ReddyHydroponics, an efficient cultivation method, benefits significantly from the precision and adaptability that Machine Learning (ML) algorithms can offer, along with the real-time monitoring facilitated by the devices using the Internet of Things (IoT). This study summarises the latest research and discusses how Machine Learning and the IoT work together, focusing on nutrient optimization, plant development, and resource efficiency. The … …Journal of Computer Science, Vol. 22, Issue 3 · 11 Mar 2026 · 3,046 accessesView PDFCite