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235 articles for “monitoring system”
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Research ArticleOpen accessIn the keywordsDrawing Meshed One-Line Diagrams of Electric Power Systems using a Modified Controlled Spring Embedder Algorithm Enhanced with Geospatial DataAlexandre de Assis Mota, Lia Toledo Moreira MotaProblem statement: One-line diagrams are widely used in electrical power systems to provide a graphical view of state of the system and to assess its performance. Several methodologies and algorithms have been proposed to automatically draw the power system’s one-line diagram and provide satisfactory results for radial or small-size meshed networks. Nevertheless, actual power systems models are generally associated to … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 8,096 accessesView PDFCite
Research ArticleOpen accessIn the keywordsVisualization of Available Power Transfer Capability in a Transmission System Using Morphological TechniquesS. U. Prabha, B. S. Dayasagar, C. VenkataseshaiahA morphological decimation technique has been proposed and implemented to analyze the available power transfer capability in a transmission power network. The method creates a graphical image of the power network with thickness of the lines proportional to their respective rated megavolt ampere (MVA) capacity. Based on ac load flow solution, another image was created to represent the power flow … …American Journal of Applied Sciences, Vol. 6, Issue 2 · 28 Feb 2009 · 7,102 accessesView PDFCite
Research ArticleOpen accessIn the keywordsWetland Ontology Modeling to Apply the Context-Aware Technology for Application Service EnvironmentJ. I. Gwi-Hwan, O. H. Ryum-DuckProblem statement: Due to recent advances in the IT industry, the importance of ontology has increased as a tool of knowledge representation at home or abroad for implementation of intelligent and personalized service system such as next generation semantic web environment and ubiquitous computing environment. But, although the importance of wetlands are being recognized, systematic management is still not enough … …Journal of Computer Science, Vol. 8, Issue 3 · 13 Jan 2012 · 6,970 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 abstractIntegrated Monitoring of Endocrine-Disrupting Chemicals: Analytical Chemistry and Biological Assessment ApproachesChangjin Li, Jing Huo, Zijun Dou et al.Endocrine-Disrupting Chemicals (EDCs) in aquatic environments pose significant threats to ecosystems and human health. These compounds interfere with hormonal regulation at low concentrations and have non-monotonic dose-response relationships, posing challenges to conventional risk assessment. This review systematically compares current EDC monitoring methods, including instrumental chemical analysis and receptor-based biological detection systems, to evaluate sensitivity thresholds, sample throughput, and mechanistic selectivity … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 3 Jul 2026 · 1,081 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 abstractDeep Learning and Image Analytics for Forest Land Management: Classification, and Object DetectionDevam Dixit, Aditya Bhavsar, Shreyas Jani, Nilesh YadavRapid urbanization and industrialization have contributed to deforestation which has led to a severe degradation of the environment and biodiversity loss. Traditional field survey methods are not applicable in the monitoring of large forest areas due to the fact that such methods are manual, costly and time consuming as well as subject to human error. The current methods of remote … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,590 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
Research ArticleOpen accessIn the abstractTomato Leaf Disease Detection by Hybrid Ai and Ml TechnologyP. Loganathan, M. John Britto, Vinston RajaDiseases that affect plants contribute to productivity decline, but they can be managed with ongoing monitoring. It is time-consuming and prone to error to track plant diseases manually. Early disease detection using Artificial Intelligence (AI) and machine vision can lessen negative impacts while also overcoming some of the limitations of continuous human monitoring. Therefore, this study uses both Deep Learning … …Journal of Computer Science, Vol. 21, Issue 12 · 12 Feb 2026 · 1,881 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvancements In Precision Agriculture: A Review on Image-Based Stress Detection and Predictive Yield Loss ModelingA. Josephine, A. SubhashiniPrecision agriculture utilizes cutting-edge technologies to maximize the management of crops, enhance utilization of resources, and maximize yield forecasting. This study critically analyzes 53 peer-reviewed articles to evaluate advancements in image-based stress detection and yield prediction techniques for precision agriculture. The review enumerates main issues, such as image-based analysis methods, different crop stress aspects (biotic, environmental, and abiotic), and remote … …Journal of Computer Science, Vol. 21, Issue 11 · 28 Dec 2025 · 2,508 accessesView PDFCite