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 18 of 18 for “"Performance Validation"”.
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Parametric design and performance validation of low-cost, low-pressure drip emitters and irrigation systems
… by trial-and-error, which may limit product performance. To address this gap, this section presents a new, fully-analytical, parametric model for predicting the activation pressure and flow rate of typical inline PC emitters from their geometry and material properties of the membrane. The …
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Development of a Microstructure-Level Finite Element Model for the Prediction of Tool Failure by Chipping in Tungsten Carbide-Cobalt Systems
… a problem of WC-Co grade design for the improved performance. Validation experiments demonstrated the efficacy of model predictions. The simulation results agreed well with the observation found in the past literature that fatigue strength increases in a non-linear fashion with increase of Co …
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Deep Neural Networks for Rate of Penetration Prediction: A Subsurface-Centric Approach Using Well Logs in the Volve Oil Field
… accuracy (training MAE = 1.15, MSE = 2.99; validation MAE = 1.35, MSE = 3.92). To extend applicability across the full wellbore, including the non-reservoir section (146–2600 m), the same DNN model was applied, demonstrating a drop in performance (validation MAE = 4.96, MSE = 81.56) likely …
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Deep Neural Networks for Rate of Penetration Prediction: A Subsurface-Centric Approach Using Well Logs in the Volve Oil Field
… accuracy (training MAE = 1.15, MSE = 2.99; validation MAE = 1.35, MSE = 3.92). To extend applicability across the full wellbore, including the non-reservoir section (146–2600 m), the same DNN model was applied, demonstrating a drop in performance (validation MAE = 4.96, MSE = 81.56) likely …
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Optimization Techniques for Performance and Power Dissipation in Test and Validation
… Another important aspect in chip design is performance validation, which is increasingly perceived as the major bottleneck in integrated circuit design. Given the synthesizable HDL code, the proposed technique will efficiently identify infeasible paths, subsequently, it determines the worst …
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Development of a Low-Cost PCB-Based High-Frequency AC Susceptometer for Magnetic Materials Characterization
This thesis presents the development and performance evaluation of femtoMag, a novel, cost-effective high-frequency AC susceptometer designed to characterize magnetic materials up to 200 MHz. Leveraging a low-cost printed circuit board (PCB) design and commercially available high-frequency …
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Proton Computed Tomography: a novel calibration approach for proton treatment planning
… PhD research focuses on evaluating the imaging performance of the INFN proton CT prototype, developing novel calibration methods using ex vivo phantoms, and comparing these approaches to conventional SECT and cutting-edge multi-energy CT systems. Key outcomes include the characterization of pCT …
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Hybrid wireless broadband networks
… In this thesis, we aim to improve the overall performance of hybrid networks in a disaster management by addressing the challenges as well as the problems in a homogeneous network. Such an approach allows more efficient multi-parameter optimization and significant improvements in the overall …
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Design of segmental rotor and non-overlap windings in single-phase fefsm for low torque high speed applications
… the drawbacks of low torque and small power performances due to their longer flux path in the single-phase FEFSM using salient rotor structure and overlap windings arrangement. The objectives of this study are to design, analyse and examine performance of the proposed motor, to optimize the …
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Cardiac output estimation using arterial blood pressure waveforms
… the effectiveness of this approach is nebular. Performance validation studies in the past have mostly been conducted on a small set of subjects under well-controlled laboratory conditions. It is entirely possible that there will be circumstances in real world clinical practice in which CO …
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Design of an intelligent system for validation of protection settings
… need for a solution that allows comprehensive validation of settings and checking of the actual performance of the protection system with the settings applied in a variety of operational contexts. To address these requirements, this thesis presents the outcomes of research concerned with …
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Leveraging Machine Learning and Causal Inference for Loan Default Prediction
… the research identifies key trends in loan performance across a large number of factors, such as interest rates or borrower creditworthiness, and one objective is to determine from the many available predictors which are the most essential. The research introduces two different Recursive …
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Consistent high performance and flexible congestion control architecture
… suffers increasingly more from surprisingly poor performance in today's complicated network conditions. We argue the traditional TCP congestion control family has little hope of achieving consistent high performance due to a fundamental architectural deficiency: hardwiring packet-level events to …
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Mathematical Imaging Tools in Cancer Research - From Mitosis Analysis to Sparse Regularisation
… light microscopy experiments are conducted for performance validation. The aim is to monitor behaviour of cells in cultures that have previously been treated with chemotherapy drugs, since atypical duration and outcome of mitosis, the process of cell division, can be an indicator of successfully …
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DEVELOPMENT OF TECHNOLOGIES AND METHODS OF ANALYSIS FOR THE FUNCTIONAL EVALUATION OF PERFORMANCE IN FOOTBALL
Football performance analysis has traditionally relied on expensive multi-camera tracking systems and labor-intensive manual video analysis, creating significant barriers to accessing comprehensive performance data across different competitive levels. This thesis presents the development and …
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Integrated data analysis approach to select artificial lift method using machine learning.
… into three categories in each model - training, validation and testing - instead of randomly splitting the datasets. This novel methodology streamlines AL selection by expediting data analysis and affording precise results. The outcomes of this research are marked by the remarkable improvements …
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Augmented Radiology in High Grade Serous Ovarian Carcinoma
… remain largely distinct from the development and validation of AI-based medical image analysis tools, save for a passive role in the generation of training and testing datasets. Many groups developing them do not have clinician input, which can result in systemic errors or false assumptions …