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 19 of 19 for “"Real-time data processing"”.
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Elastic techniques to handle dynamism in real-time data processing systems
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-04-06 without embargo terms
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Developing a flexible range sensing system for industrial inspection applications
… range sensing problems, the ability to do real-time data processing, and the capability to do extensive system diagnostics under complete software control. A triangulation based plane-of-light optical method is employed to extract range information. The research shows that this method suits …
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Extensible Real-Time Sensor and Test Interface for a System-on-Chip
… on microrobots, such as drones. To enable the real-time data processing required for this application, the ASIC includes a custom Sensor-and-Debug IP block that provides Serial Peripheral Interface (SPI) and First-In/First-Out (FIFO) buses. The custom PCB includes a multiplexer circuit that …
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Efficient Deep Learning: From Theory to Practice
… with non-negligible resource constraints, e.g., real-time data processing, embedded devices, and robotics. In this thesis, we develop theoretically-grounded algorithms to reduce the size and inference cost of modern, large-scale neural networks. By taking a theoretical approach from first …
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Automated throughput optimisation: a cost effective I4.0 solution
… an era of closed loop manufacturing, enabled by real-time data processing and feedback. However, the prohibitive costs of I4.0 tools often restrict access for smaller manufacturers and machine shops. Additionally, the shift to I4.0 necessitates a distinct skill set, further disadvantaging smaller …
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A Compensated Distributed Line Decoupling approach for real time applications
… to decouple distribution networks among parallel processing cores in a real-time multi-core environment. Due to the short length of distribution lines, decoupling the network for real-time processing is challenging. Previous studies proposed the Stublines and State Space Nodal (SSN) solvers but …
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A client-server software application for statistical analysis of fMRI data
… functional magnetic resonance imaging (fMRI) data are complex and continually evolving. There exist a scarcity of educational material for fMRI. Thus, an instructional based software application was developed for teaching the fundamentals of statistical analysis in fMRI. For wider …
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Comparison study of sorting techniques in dynamic data structure
… and widely studied issue, where the execution time and the required resources for computation is of extreme importance, especially if it is dealing with real-time data processing. Therefore, it is important to study and to compare in details all the available sorting algorithms. In this …
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A Generic BI Application for Real-time Monitoring of Care Processes
Patient wait times and care service times are key performance measures for care processes in hospitals. Managing the quality of care delivered by these processes in real-time is challenging. A key challenge is to correlate source medical events to infer the care process states that define patient …
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Guaranteed service management in mobile wireless Internet
… Internet has led to the increased use of reatime applications. Real-time applications are network resources hungry and propagation delay sensitive. These applications need service guarantees if they are to be acommodated on the mobile wireless Internet. It is, therefore, necessary to maintain …
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Análisis en Tiempo Real para el Internet Industrial de las Cosas
… generating continuous streams of heterogeneous data. While this transformation enables intelligent automation, predictive maintenance, and data-driven optimization, traditional centralized cloud-based architectures are unable to satisfy the strict latency, scalability, and contextual-awareness …
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Deep Learning-Enhanced Autonomous Aerial and Ground Robotics Using UWB and Lidar in GNSS-Denied Environments
… various technologies and ensuring reliable real-time data processing. This thesis addresses these issues by developing a comprehensive framework that merges advanced data collection platforms, deep learning algorithms, and novel fusion methods to enhance UAV positioning accuracy and …
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Applied Aerial Autonomy for Reliable Indoor Flight and 3D Mapping
… can gather critical visual and locational data, aiding in hazard assessment and rescue planning without risking human lives. Reliable UAS deployments requires advanced sensors and robust algorithms for real-time data processing and safe navigation, even in GPS-denied and windy conditions. …
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Energy-efficient Neuromorphic Computing for Resource-constrained Internet of Things Devices
… on-device computation is essential for many time-critical applications, which require real-time data processing and energy-efficient. Furthermore, the escalating requirements for on-device processing are driven by network bandwidth limitations and consumer anticipations concerning data …
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Practical Continuous Variable Quantum Key Distribution System with ‘Local’ Local Oscillator
… been proven to promise unconditionally secure data communication between remote legitimate users，based on the fundamental laws of quantum mechanics. QKD has great potential to be commercialized in the market and implemented in securing critical institutions, such as financial infrastructures, …
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PICT-DPA: A Quality-Compliance Data Processing Architecture to Improve the Performance of Integrated Emergency Care Clinical Decision Support System
… acute resuscitation and life-saving care. As a time-sensitive care operation system, any delay and mistake in the decision-making of these EC functions can create additional risks of adverse events and clinical incidents. The Emergency Care Clinical Decision Support System (EC-CDSS) has proven …
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Application of Machine Learning and Deep Learning Methods in Geological Carbon Sequestration Across Multiple Spatial Scales
… studies. In recent years, the unprecedented data sources, increasing computational capability, and the developments of machine learning (ML) and deep learning (DL) algorithms provide novel perspectives for expanding the knowledge from data, which can capture highly complex nonlinear …