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Rozprawy doktorskie na temat „Parameter optimization”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 25 lipca 2025

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1

Marcinkevicius, Tadas. "DRAM BASED PARAMETER DATABASE OPTIMIZATION." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-100332.

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This thesis suggests an improved parameter database implementation for one of Ericsson products. The parameter database is used during the initialization of the system as well as during the later operation. The database size is constantly growing because the parameter database is intended to be used with different hardware configurations. When a new technology platform is released, multiple revisions with additional features and functionalities are later created, resulting in introduction of new parameters or changes to their values. Ericsson provides support for old and new products. The enti

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Koripalli, RadhaShilpa. "Parameter Tuning for Optimization Software." VCU Scholars Compass, 2012. http://scholarscompass.vcu.edu/etd/2862.

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Mixed integer programming (MIP) problems are highly parameterized, and finding parameter settings that achieve high performance for specific types of MIP instances is challenging. This paper presents a method to find the information about how CPLEX solver parameter settings perform for the different classes of mixed integer linear programs by using designed experiments and statistical models. Fitting a model through design of experiments helps in finding the optimal region across all combinations of parameter settings. The study involves recognizing the best parameter settings that results in

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Gupta, Deepak Prakash. "Energy sensitive machining parameter optimization model." Morgantown, W. Va. : [West Virginia University Libraries], 2005. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4406.

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Thesis (M.S.)--West Virginia University, 2005.<br>Title from document title page. Document formatted into pages; contains ix, 71 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 67-71).

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Eeles, Charles William Owen. "Parameter optimization of conceptual hydrological models." Thesis, Open University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.261674.

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Thellner, Mikael. "Multi-parameter topology optimization in continuum mechanics /." Linköping : Dept. of Mechanical Engineering, Univ, 2005. http://www.bibl.liu.se/liupubl/disp/disp2005/tek934s.pdf.

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Herrmann, Todd Matthew. "A critical parameter optimization of launch vehicle costs." College Park, Md. : University of Maryland, 2006. http://hdl.handle.net/1903/3927.

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Thesis (M.S.) -- University of Maryland, College Park, 2006.<br>Thesis research directed by: Dept. of Aerospace Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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Mathavan, Neashan Graduate School of Biomedical Engineering Faculty of Engineering UNSW. "Parameter optimization in simplified models of cardiac myocytes." Awarded by:University of New South Wales. Graduate School of Biomedical Engineering, 2009. http://handle.unsw.edu.au/1959.4/44709.

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Atrial fibrillation (AF) is a complex, multifaceted arrhythmia. Pathogenesis of AF is associated with multiple aetiologies and the mechanisms by which it is sustained and perpetuated are similarly diverse. In particular, regional heterogeneity in the electrophysiological properties of normal and pathological tissue plays a critical role in the occurrence of AF. Understanding AF in the context of electrophysiological heterogeneity requires cell-specific ionic models of electrical activity which can then be incorporated into models on larger temporal and spatial scales. Biophysically-based model

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Lee, Sang Heon. "Efficient design and optimization of robust parameter experiments." Diss., Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/24328.

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Luna, Ortiz J. E. "Optimization of distributed parameter systems using transient simulators." Thesis, University of Manchester, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.503592.

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Mannai, Sébastien (Sébastien Karim). "Multi-parameter control for centrifugal compressor performance optimization." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90778.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 88-89).<br>The potential performance benefit of actuating inlet guide vane (IGV) angle, variable diffuser vane (VDV) angle and impeller speed to implement a multi-parameter control on a centrifugal compressor system is assessed. The assessment consists of first developing a one-dimensional meanline model for estimating performance of centrifugal compressor system followed by the formulation of a control fra

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Panis, Renato P. "Robust parameter optimization strategies in computer simulation experiments." Diss., This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-06062008-164719/.

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RIZZA, MARTINA FRANCESCA. "Parameter estimation of cerebellar stellate neuron model." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2017. http://hdl.handle.net/10281/180709.

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La principale area della mia ricerca è la modellizzazione delle proprietà biofisiche dei neuroni del cervelletto. I modelli computazionali di neuroni sono descrizioni matematiche del loro funzionamento e sono importanti mezzi per lo studio di queste cellule. Saranno presentati i modelli che seguono la notazione matematica di Hodgkin e Huxley (HH) e i modelli descritti secondo la teoria degli Integrate and Fire e infine mi concentrerò sui modelli del cervelletto, essendo questa regione del sistema nervoso centrale il principale interesse della mia ricerca. La prima parte della tesi esamina la

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Busuioc, Dan. "Circuit Model Parameter Extraction and Optimization for Microwave Filters." Thesis, University of Waterloo, 2002. http://hdl.handle.net/10012/804.

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This thesis presents a method for parameter extraction of circuit elements from microwave filters. This diagnosis method can be applied to a sufficiently large number of filters and it can also be used in conjunction with a neural network model for filter design, greatly reducing development time. This thesis is an introduction of parameter extraction and circuit modelling through use of neural networks. It also presents an implementation of the proposed method as well as numerical results and validation data. Detailed implementation code is presented in the appendix.

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Perez, Claudio A. "Parameter optimization and system miniaturization for vibrotactile information transfer /." The Ohio State University, 1991. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487687485810333.

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Granados, Murillo Adrian. "A genetic algorithm for network transport protocol parameter optimization." [Pensacola, Fla.] : University of West Florida, 2009. http://purl.fcla.edu/fcla/etd/WFE0000176.

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Thesis (M.S.)--University of West Florida, 2009.<br>Submitted to the Dept. of Computer Science. Title from title page of source document. Document formatted into pages; contains 66 pages. Includes bibliographical references.

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Garcia, Sandrine. "Experimental Design Optimization and Thermophysical Parameter Estimation of Composite Materials Using Genetic Algorithms." Diss., Virginia Tech, 1999. http://hdl.handle.net/10919/28076.

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Thermophysical characterization of anisotropic composite materials is extremely important in the control of today fabrication processes and in the prediction of structure failure due to thermal stresses. Accuracy in the estimation of the thermal properties can be improved if the experiments are designed carefully. However, on one hand, the typically used parametric study for the design optimization is tedious and time intensive. On the other hand, commonly used gradient-based estimation methods show instabilities resulting in nonconvergence when used with models that contain correlated or near

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Munster, Drayton William. "Robust Parameter Inversion Using Stochastic Estimates." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/96399.

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For parameter inversion problems governed by systems of partial differential equations, such as those arising in Diffuse Optical Tomography (DOT), even the cost of repeated objective function evaluation can be overwhelming. Despite the linear (in the state variable) nature of the DOT problem, the nonlinear parameter inversion process is dominated by the computational burden of solving a large linear system for each source and frequency. To compute the Jacobian for use in Newton-type methods, an adjoint solve is required for each detector and frequency. When a three-dimensional tomography probl

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Svensson, Emil. "Parameter estimation of biological pathways." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8430.

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<p>To determine parameter values for models of reactions in the human body, like the glycolysis, good methods of parameter estimation are needed. Those models are often non-linear and estimation of the parameters can be very time consuming if it is possible at all. The goal of this work is to test different methods to improve the calculation speed of the parameter estimation of an example system. If the parameter estimation speed for the example system can be improved it is likely that the method could also be useful for systems similar to the example system.</p><p>One approach to improve the

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Kidwell, Ann-Sofi. "Optimization under parameter uncertainties with application to product cost minimization." Thesis, Mälardalens högskola, Akademin för utbildning, kultur och kommunikation, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-38858.

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This report will look at optimization under parameters of uncertainties. It will describe the subject in its wider form, then two model examples will be studied, followed by an application to an ABB product. The Monte Carlo method will be described and scrutinised, with the quasi-Monte Carlo method being favoured for large problems. An example will illustrate how the choice of Monte Carlo method will affect the efficiency of the simulation when evaluating functions of different dimensions. Then an overview of mathematical optimization is given, from its simplest form to nonlinear, nonconvex

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Fraleigh, Lisa Marie. "Optimal sensor selection and parameter estimation for real-time optimization." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ40050.pdf.

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Chen, Zhaozhong. "Visual-Inertial SLAM Extrinsic Parameter Calibration Based on Bayesian Optimization." Thesis, University of Colorado at Boulder, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=10789260.

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<p> VI-SLAM (Visual-Inertial Simultaneous Localization and Mapping) is a popular way for robotics navigation and tracking. With the help of sensor fusion from IMU and camera, VI-SLAM can give a more accurate solution for navigation. One important problem needs to be solved in VI-SLAM is that we need to know accurate relative position between camera and IMU, we call it the extrinsic parameter. However, our measurement of the rotation and translation between IMU and camera is noisy. If the measurement is slightly o?, the result of SLAM system will be much more away from the ground truth after a

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Leng, She Ri Gu. "Investigating hybrids of evolution and learning for real-parameter optimization." Thesis, Heriot-Watt University, 2011. http://hdl.handle.net/10399/2481.

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In recent years, more and more advanced techniques have been developed in the field of hybridizing of evolution and learning, this means that more applications with these techniques can benefit from this progress. One example of these advanced techniques is the Learnable Evolution Model (LEM), which adopts learning as a guide for the general evolutionary search. Despite this trend and the progress in LEM, there are still many ideas and attempts which deserve further investigations and tests. For this purpose, this thesis has developed a number of new algorithms attempting to combine more learn

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Vugrin, Kay Ellen White. "On the Effects of Noise on Parameter Identification Optimization Problems." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/27515.

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The calibration of model parameters is an important step in model development. Commonly, system output is measured, and model parameters are iteratively varied until the model output is a good match to the measured system output. Optimization algorithms are often used to identify the model parameter values. The presence of noise is difficult to avoid when physical processes are used to calibrate models due to measurement error, model structure error, and errors arising from numerical techniques and approximate solutions. Our study focuses on the effects of noise in parameter identification

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Zwolak, Jason Walter. "Parameter Estimation in Biological Cell Cycle Models Using Deterministic Optimization." Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/31354.

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Cell cycle models used in biology can be very complex. These models have parameters with initially unknown values. The values of the parameters vastly aect the accuracy of the models in representing real biological cells. Typically people search for the best parameters to these models using computers only as tools to run simulations. In this thesis methods and results are described for a computer program that searches for parameters to a series of related models using well tested algorithms. The code for this program uses ODRPACK for parameter estimation and LSODAR to solve the dierential equa

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Sanders, Samantha Corinne. "Informing the use of Hyper-Parameter Optimization Through Meta-Learning." BYU ScholarsArchive, 2017. https://scholarsarchive.byu.edu/etd/6392.

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One of the challenges of data mining is finding hyper-parameters for a learning algorithm that will produce the best model for a given dataset. Hyper-parameter optimization automates this process, but it can still take significant time. It has been found that hyperparameter optimization does not always result in induced models with significant improvement over default hyper-parameters, yet no systematic analysis of the role of hyper-parameter optimization in machine learning has been conducted. We propose the use of meta-learning to inform the decision to optimize hyper-parameters based on whe

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Rakotoarison, Herilalaina. "Some contributions to AutoML : hyper-parameter optimization and meta-learning." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG044.

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Cette thèse présente trois principales contributions afin d’améliorer l’état de l’art de ces approches AutoML. Elles sont divisées entre deux thèmes de recherche: l’optimisation et meta-apprentissage. La première contribution concerne un algorithme d’optimisation hybride, appelé Mosaic, qui exploite les méthodes MCTS et optimisation bayésienne pour résoudre respectivement la sélection des algorithmes et la configuration des hyperparamètres. L’évaluation, conduite à travers le benchmark OpenML 100, montre que la performance empirique de Mosaic surpasse ceux des systèmes d’AutoML de l’état de l’

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Hepdogan, Seyhun. "META-RAPS: PARAMETER SETTING AND NEW APPLICATIONS." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3493.

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ABSTRACT Recently meta-heuristics have become a popular solution methodology, in terms of both research and application, for solving combinatorial optimization problems. Meta-heuristic methods guide simple heuristics or priority rules designed to solve a particular problem. Meta-heuristics enhance these simple heuristics by using a higher level strategy. The advantage of using meta-heuristics over conventional optimization methods is meta-heuristics are able to find good (near optimal) solutions within a reasonable computation time. Investigating this line of research is justified because in m

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Jezek, Christoffer, and Fredrik Jones. "Diesel Combustion Modeling and Simulation for Torque Estimation and Parameter Optimization." Thesis, Linköping University, Department of Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-12117.

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<p>The current interest regarding how to stop the global warming has put focus on the automobile industry and forced them to produce vehicles/engines that are more environmental friendly. This has led to the development of increasingly complex controlsystem of the engines. The introduction of common-rail systems in regular automotives increased the demand of physical models that in an accurate way can describe the complex cycle within the combustion chamber. With these models implemented it is possible to test new strategies on engine steering in a cost- and time efficient way.</p><p>The main

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Mekarapiruk, Wichaya. "Simultaneous optimal parameter selection and dynamic optimization using iterative dynamic programming." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/NQ58926.pdf.

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Liang-Lung, Hung, and 洪良龍. "Processing Parameter Optimization for Dyeing." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/76051235992451738550.

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碩士<br>國立臺灣科技大學<br>高分子工程系<br>92<br>Due to human requests for the coloration of clothing materials, it leads the dyeing processing technology to be getting promoted day after day. Before the dyeing process, it is necessary that the combination of the processing parameters for the fabrics must be determined in advance. The reason is that the dyeing effects result from their parameters. In this paper, we select pure cotton and cotton mixed Lycra as the dyed fabrics, dyestuffs as the reactive dye, and the dyeing method is one-bath-two-section impregnation as well as the quality characteristic are

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Yu-Jen, Huang, and 黃昱仁. "Parameter optimization for power management system." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/60023520620826649726.

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碩士<br>國立屏東科技大學<br>車輛工程系所<br>96<br>In this thesis, an optimal energy management system (EMS) for a so-called Dual Hybrid electric Vehicle (DHEV) is designed. The goal is to determine optimal operating parameters of the DHEV such that each of its subsystems can be operated around their respective optimal area with minimum fuel consumption for all operation conditions, under the considerations of drivability and physical constraints of the vehicle. The design of the EMS for this system is complicate due to its nonlinear nature of the hybrid system and, furthermore, without a priori knowledge of s

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Su, Tsan-Cheng, and 蘇粲程. "Evolutionary Algorithms on Othello Parameter Optimization." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/86757212038775036289.

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博士<br>國立東華大學<br>資訊工程學系<br>104<br>Artificial intelligence has recently attracted significant media interest when the AlphaGo program developed by Google DeepMind was defeated by Se-dol Lee in South Korea. The news follows the 1997 man versus machine performance where computer game programs utilize artificial intelligence algorithms. The degree of branching in Othello is smaller than Go. Generally, the computer Othello program is designed by MinMax search method with α–β pruning. Computer Othello is a computer game program that competes with other computer game programs. In this study, the use o

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AN, WU CHEN, and 吳承恩. "Color Filter Polish Process Parameter Optimization." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/57539754465021069785.

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碩士<br>南台科技大學<br>工業管理研究所<br>99<br>Electronic industries are the main economic sources in Taiwan. TFT-LCD is one of the electronic industries and it plays an important role in the industries. There are a lot of competitors in TFT-LCD industry around the world and the production cost of TFT-LCD is extremely high. To reduce its production cost and increase profit becomes the primary concern of the management. In order to manufacture the TFT-LCD to satisfy the demands of the consumer’s market, every company is trying to search for the optimal production process parameters by experiments continuousl

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LIAN, YAN-CHENG, and 連彥丞. "Parameter Optimization for Machine Tool Tuning." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/dge9c6.

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碩士<br>國立雲林科技大學<br>機械工程系<br>106<br>The five-axis machine tool is widely used in aerospace and automotive industries which takes high speed and high precision as the development goal, reacting to the short cycle and high-precision products demand in the industry. The Mechanism design, assembly process, controller parameters and environment factors all make influences on the high speed and the high precision. In order to optimize the controller parameter and improve the machining accuracy and the machining time, Taguchi method is used to find out the best parametric combination and to meet the sh

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Fang, Yu-Ting, and 方宇婷. "Process Parameter Optimization of Silica Aerogel Products." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/xzn554.

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碩士<br>義守大學<br>工業管理學系<br>103<br>The research combines the Taguchi experiment and grey relational analysis (GRA) to deal with the problem of optimizing the parameters of the SiO2 aerogel. In addition, this paper tries to understand the main process factors influencing the quality characteristics of the aerogel through the experiments. After discussing with the domain experts, we chose three quality characteristics and three experimental factors with three levels and adopted L9 (34) orthogonal array to proceed with the experiment. The three quality characteristics are density, surface area, and p

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Huang, Chin-Yuan, and 黃欽淵. "Real time parameter optimization with motor control." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/47201548209648604168.

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碩士<br>中國文化大學<br>數位機電科技研究所<br>97<br>This article is based on step and servo motor device to find optimal parameters for the subject. Using Labview software to real-time control the motor speed and position, then to find adaptive parameters to optimizing feedback system. After simulated combination with step motor and hardware operation, real-time computing features will reduce the time delay with a view to achieving hardware and software synchronize the process of the simulation software with select the most sensitive parameters and hardware, at the same time make to the whole system got the be

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Hung, rung yau, and 洪榮耀. "Effect of Parameter Estimation on Fertilizer Optimization." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/93780366279016940967.

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Hsu, Po-chun, and 許博淳. "The Parameter Optimization of Zone Control Chart." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/62717050241624122684.

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碩士<br>南台科技大學<br>工業管理研究所<br>98<br>In today's competitive system, production technology is getting riser and consumer’s quality requirement is significantly increasing. In the crisis surrounding environment, the product quality is a major factor for enterprises to remain competitiveness and keep going in the competitive world. Statistical process control (SPC) is one of important tools on quality control where control chart is the most widely used tool. Zone Control Chart (ZCC) is primarily used to replace the traditional Shewhart control chart for its insensitivity and Runs Rules Tests for its

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Li, Tzung-Rung, and 李宗榮. "Parameter Optimization of Automobile Wheel Alignment Systems." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/77365626773876890407.

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碩士<br>國立高雄應用科技大學<br>機械與精密工程研究所<br>99<br>This article is mainly the research for the pursue good traffic safety quality and under the best chassis adjustment combination, by ' Taguchi Method' analysis and adjustment wheel alignment. The analysis causes us by ' Taguchi Method' under the wheel alignment each angle adjustment, obtains the optimal fit. Reaches the traffic safety the goal. Outside inclination angle (Camber); The caster angle (Caster) and the toe-in (Toe in) is the main controlling element, the quality project' the analysis discovers the best adjustment combination by 'Tian Koushi.Th

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Wong, Shih-Chang, and 翁世璋. "Arbitrary Parameter Optimization for Manga Panel Extraction." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/b2ty83.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>105<br>In the problem of making manga easier to read on handheld devices, the most essential and basic step is locating positions of each panel on the page since processing on the contents in the area of panels was required to make them more readable on handheld devices. However, due to the varying layout structure features in each series or volume of manga such as the different panel width used in every series, manual parameter adjustment is often needed to achieve the best possible result for many panel extraction algorithms. In this paper, we propose an automatic

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Chiang, Ku-Yu, and 江坤煜. "Parameter Optimization Design of Packaging Molding Process." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/p9kbw2.

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碩士<br>國立中興大學<br>機械工程學系所<br>106<br>In recent years, Integrated Circuits (IC) have been developed to be fast, versatile, highly reliable, light-weight, thin and short. With the trend of high density, high pin count and strong function requirements of IC devices At the same time, the molding process technology for today''s packaging technology, has a pivotal role. Molding is one of the main methods for providing circuit protection in electronic packaging currently. The circuit board can be connected to an IC chip package substrate or a lead frame to exert the functions of electronic mes

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YEH, CHUN-HUNG, and 葉俊宏. "Intelligent scheduling parameter optimization for semiconductor manufacturing." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/e7432b.

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TANG, TSANN-TAY, and 湯燦泰. "A Study on Parameter Optimization in Melt Spinning." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/84742841982362532468.

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碩士<br>國立臺灣科技大學<br>纖維及高分子工程系<br>89<br>The most popular and economic way to manufacture man-made fibers is melt spinning. In general, rotation speeds of an extruder and a gear pump, extruder temperature, spinning temperature, linear speed of a take-up equipment, and air cooled temperature and speed are a typical set of operating parameters to most affect the important properties of denier and tenacity of as-spun yarn. First, the suitable orthogonal array is used to plan experiments. An orthogonal array, the signal-to-noise ratio, and ANOVA (Analysis of Variance) are employed to investigate perfo

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Yang, Chen, and 楊振. "The Parameter Optimization of Submerged Arc Welding for." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/43421270407299276856.

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碩士<br>國立台灣工業技術學院<br>機械工程技術研究所<br>85<br>The Tuguchi orthogonal array with the AIM network was used to find the parameter conforming the request quality for the reclamation of the steel mill rolls. The 420 stainless steel was applied as filler materials by submerged arc hardfacing. The result shows that there is a minimum wear rate when the slide speed was 2m/sec. The primary wear mechanism with the 2m/sec silde speed is oxidative wear. The primary wear mechanism with the

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Li, Jia-ling, and 李佳玲. "ACO-based Feature Selection and Classifier Parameter Optimization." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/943bta.

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碩士<br>國立高雄第一科技大學<br>資訊管理所<br>96<br>Support Vector Machines (SVM) is one of the new techniques for pattern classification. The kernel parameter settings for SVM in training process can impact on the classification accuracy. A proper feature subset can also improve the classification efficiency and accuracy. This study hybridized the SVM with ant colony optimization (ACO) to simultaneously optimize the kernel parameters and feature subset without degrading the classification accuracy. Using the feature importance and pheromones information to determine the transition probability. Using the class

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Chen, Hung-cheng, and 陳宏成. "Optimization Parameter Study for Inner Leader Bonding Process." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/48747956170255840697.

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碩士<br>逢甲大學<br>材料與製造工程所<br>94<br>The goal of this article is to study the stress concentration effect during the inner lead bonding process for tape automated bonding technology. The finite element method is employed to conduct the parametric study for forming the lead. The optimal parameter of time versus compression loading through the comparison between one-stage compression and two-stage compression process is proposed. Furthermore, the stress distribution on the bump and lead under different compressing time is considered at the same time for the singe lead simulating model. Based on the s

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Wu, Chung-Seng, and 吳忠信. "Shape optimization and parameter analysis of link chain." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/60119593321819406138.

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碩士<br>國立中興大學<br>機械工程學系所<br>96<br>This thesis studies the stresses in step chain subjected to differenert loadings. When the link is assembled,the interference fit occures between the link plate and the pin or bush.This interference fit produce stresses in the link before subjecting to external loading.Upon moving to the tight side,the link takes the maximum loading which includes the external loading and the loading due to interference fit.When the link enters the slake side,the external loading approaches zero.Therefore in a complete cycle,the loading applied to a link varies between two valu

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Chiang, Tai-Lin, and 姜台林. "Optimization of Parameter Design via Integrated Intelligent Approach." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/24552485173768504164.

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博士<br>國立交通大學<br>工業工程與管理系<br>90<br>Parameter design is advocated to design a product by selecting the optimum conditions of control factors (factors which we can control) so that the product is least sensitive to uncontrollable factors (noise factors) such as wear, aging, and ambient conditions. The manufacturing interests which are created concern technological advances and the marketability of products and services. Thus, parameter design questions interact constantly with the realm of continuous improvement. Conventionally, Taguchi methods have been widely used in industry; however, this met

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劉家鈞. "Orientation-Parameter Optimization Applied to Airborne SAR Imagery." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/02899698999278322986.

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碩士<br>國立中央大學<br>土木工程研究所<br>87<br>This paper begins with elaborating the deduction and solutions of Radargrammetric Condition Equations on a single SAR (Synthetic Aperture Radar) image, which is the time-varying SAR airborne flight locus represented with polynomial collaborating with the mixed adjustment method. As for the blunder detection in observation data, in order to apply τ-test in detecting the possible blunder in observation data to assure its quality, the orientation parameter used to be described with two-order polynomial in previous researches. In this paper, one appropriate high-o

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Lin, Yuan-Ting, and 林苑婷. "Hybrid Electric Scooter System Modeling and Parameter Optimization." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/99494642805953440730.

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碩士<br>國立屏東科技大學<br>車輛工程系所<br>97<br>The works of this thesis are divided into two parts. Firstly, a dynamic simulation model for hybrid electric scooters (HES) is developed. Attention is paid to the prediction of key parameters of the scooter such as the engine speed, CVT gear ratio, and fuel consumption on the ECE40 drive cycle in order to evaluate the performance of the HES. The scooter studied in this research consists of an electronically controlled fuel injection internal combustion engine (ICE), a generator, clutch, final drive gears, a power assistant motor, and a mechanical-type continu

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