Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 23 for “"Intelligent monitoring"”.
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Intelligent monitoring of business processes using case-based reasoning
… presents an approach towards the effective monitoring of business processes using Case-Based Reasoning (CBR). The rationale behind this research was that business processes constitute a fundamental concept of the modern world and there is a constantly emerging need for their efficient …
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Intelligent Monitoring of Powerline Vibrations - Sparse Sensing and Predictive Modeling Approach
… presents a data-driven framework for real-time monitoring and state estimation of vibration profiles in transmission lines, offering a scalable and intelligent alternative to conventional methods.The proposed approach integrates a range of techniques including LSTM-based neural networks for …
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Intelligent monitoring of a complex, non-linear system using artificial neural networks
This project uses advanced modelling techniques to produce a design for a computer based advisory system for the operator of a critical, complex, non-linear system, typified by a nuclear reactor. When such systems are in fault the operator has to promptly assess the problem and commence remedial …
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Hierarchical aggregation and intelligent monitoring and control in fault-tolerant wireless sensor networks
… industrial, commercial, environmental and health monitoring. Typical examples include: traffic monitoring of vehicles, crossborder infiltration-detection and assessment, military reconnaissance and surveillance, target tracking, habitat monitoring and structure monitoring, to name a few. Most of …
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Sustainable advancements in rural infrastructure: Enhancing gravel road performance, stabilization, and intelligent monitoring
… rapid surface deterioration, and inefficient monitoring, hinder effective maintenance. This dissertation addresses these challenges by developing an integrated context that combines predictive modeling, chemical stabilization, and a framework proposing an AI-driven monitoring approach to …
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IMTS (Intelligent Monitoring and Trending System)a PC-based monitoring, evaluation and trending system for rotating machinery
… the data is rendered impractical. <b>IMTS</b> (Intelligent Monitoring And Trending System) is a data acquisition system that has been developed to help resolve this problem. <b>IMTS</b> is a pc based system which can collect data that is relevant to diagnostic considerations, perform an …
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Development of the second-generation IMTS (Intelligent Monitoring and Trending System) and WOT (Wizard of Tech) expert system for rotating machinery
… of some of the main programs that comprise the Intelligent Trending and Expert System.
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Monitoring Computer Systems: An Intelligent Approach
<p>Monitoring modern computer systems is increasingly difficult due to their peculiar characteristics. To cope with this situation, the dissertation develops an approach to intelligent monitoring. The resulting model consists of three major designs: representing targets, controlling data …
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Predicting hyperlactatemia in the ICU
… in the United States. Using the Multiparameter Intelligent Monitoring in Intensive Care (MIMIC II) database of electronic medical records from Boston's Beth Israel Deaconess Medical Center (BIDMC), we worked to characterize sepsis at BIDMC's intensive care units (ICUs). Additionally, we …
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Formatting and searching a massive, multi-parameter clinical information database
… trend signals in the MIMIC II (Multi-parameter Intelligent Monitoring for Intensive Care II) database from an error-prone proprietary format to a stable open-source WFDB (Waveform Database) format is presented in the first half of this thesis. The design and implementation of a search engine …
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Automated de-identification of free-text medical records
… will be incorporated into HST's Multi-Parameter Intelligent Monitoring for Intensive Care (MIMIC II) physiologic database.
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Predicting Individual Components of the SOFA Score using Multi-Task Learning
… from 10,000 ICU stays in the Multiparameter Intelligent Monitoring in Intensive Care IV (MIMIC-IV) dataset. Evaluating on a test holdout set of 10% of our data, we compare performance of our multi-task learning models to individually-trained deep networks that predict each component without …
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The development of a neonatal vital signs database
Modern intelligent monitoring systems use digital computer technology to analyze and evaluate physiological vital signs. This analytical and evaluative process is performed by algorithms developed for this purpose. The degree of 'intelligence' of the monitoring system is dependent on the …
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The Annotation Station : an open source technology for data visualization and annotation of large biomedical databases
… Center (BIDMC), known as the Multi-parameter Intelligent Monitoring for Intensive Care (MIMIC) database [11]. Although certain basic clinical information was recorded about the patients in this database, much of the information available from the ICU, such as nursing notes, were not recorded. …
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Simulation-based fault propagation analysis of process industry using process variable interaction analysis
… events is the lack of effective control and monitoring approaches that are required to achieve successful fault diagnosis and accurate hazard identification. Currently, there are aggressive worldwide efforts to propose an effective, robust, and high accuracy fault propagation analysis and …
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Real Time Diagnostic Systems For Motors and Drives
… due to system dynamics. The ideal solution is an intelligent monitoring system; however, no system exists that addresses the entire process. There are a number of recent technical articles about modeling and simulation, but very few actually addressed the issues of industrial systems. The system …
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Visual attention models for far-field scene analysis
The amount of information available to an intelligent monitoring system is simply too vast to process in its entirety. One way to address this issue is by developing attentive mechanisms that recognize parts of the input as more interesting than others. We apply this concept to the domain of …
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Device-Free WiFi Sensing for Human Activity Recognition
… of applications in smart home, health care, and intelligent monitoring. Recently, applying deep learning (DL) to WiFi-based HAR has received strong research interest. Assisted by signal processing techniques, DL-based HAR methods are able to automatically extract deep features from input signals, …
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