Дисертації з теми "Fitting technique"
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Ferreira, Ronaldo da Silva. "Interpretation of pressuremeter tests using a curve fitting technique." reponame:Repositório Institucional da UFSC, 1992. https://repositorio.ufsc.br/handle/123456789/111234.
Повний текст джерелаDe, Wet Pierre. "Powered addition as modelling technique for flow processes." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/4166.
Повний текст джерелаENGLISH ABSTRACT: The interpretation – and compilation of predictive equations to represent the general trend – of collected data is aided immensely by its graphical representation. Whilst, by and large, predictive equations are more accurate and convenient for use in applications than graphs, the latter is often preferable since it visually illustrates deviations in the data, thereby giving an indication of reliability and the range of validity of the equation. Combination of these two tools – a graph for demonstration and an equation for use – is desirable to ensure optimal understanding. Often, however, the functional dependencies of the dependent variable are only known for large and small values of the independent variable; solutions for intermediate quantities being obscure for various reasons (e.g. narrow band within which the transition from one regime to the other occurs, inadequate knowledge of the physics in this area, etc.). The limiting solutions may be regarded as asymptotic and the powered addition to a power, s, of such asymptotes, f0 and f¥ , leads to a single correlating equation that is applicable over the entire domain of the dependent variable. This procedure circumvents the introduction of ad hoc curve fitting measures for the different regions and subsequent, unwanted jumps in piecewise fitted correlative equations for the dependent variable(s). Approaches to successfully implement the technique for different combinations of asymptotic conditions are discussed. The aforementioned method of powered addition is applied to experimental data and the semblances and discrepancies with literature and analytical models are discussed; the underlying motivation being the aspiration towards establishing a sound modelling framework for analytical and computational predictive measures. The purported procedure is revealed to be highly useful in the summarising and interpretation of experimental data in an elegant and simplistic manner.
AFRIKAANSE OPSOMMING: Die interpretasie – en samestelling van vergelykings om die algemene tendens voor te stel – van versamelde data word onoorsienbaar bygestaan deur die grafiese voorstelling daarvan. Ten spyte daarvan dat vergelykings meer akkuraat en geskik is vir die gebruik in toepassings as grafieke, is laasgenoemde dikwels verskieslik aangesien dit afwykings in die data visueel illustreer en sodoende ’n aanduiding van die betroubaarheid en omvang van geldigheid van die vergelyking bied. ’n Kombinasie van hierdie twee instrumente – ’n grafiek vir demonstrasie en ’n vergelyking vir aanwending – is wenslik om optimale begrip te verseker. Die funksionele afhanklikheid van die afhanklike veranderlike is egter dikwels slegs bekend vir groot en klein waardes van die onafhanklike veranderlike; die oplossings by intermediêre hoeveelhede onduidelik as gevolg van verskeie redes (waaronder, bv. ’n smal band van waardes waarbinne die oorgang tussen prosesse plaasvind, onvoldoende kennis van die fisika in hierdie area, ens.). Beperkende oplossings / vergelykings kan as asimptote beskou word en magsaddisie tot ’n mag, s, van sodanige asimptote, f0 en f¥, lei tot ’n enkel, saamgestelde oplossing wat toepaslik is oor die algehele domein van die onafhanklike veranderlike. Dié prosedure voorkom die instelling van ad hoc passingstegnieke vir die verskillende gebiede en die gevolglike ongewensde spronge in stuksgewyspassende vergelykings van die afhankilke veranderlike(s). Na aanleiding van die moontlike kombinasies van asimptotiese toestande word verskillende benaderings vir die suksesvolle toepassing van hierdie tegniek bespreek. Die bogemelde metode van magsaddisie word toegepas op eksperimentele data en die ooreenkomste en verskille met literatuur en analitiese modelle bespreek; die onderliggend motivering ’n strewe na die daarstelling van ’n modellerings-raamwerk vir analitiese- en rekenaarvoorspellingsmaatreëls. Die voorgestelde prosedure word aangetoon om, op ’n elegante en eenvoudige wyse, hoogs bruikbaar te wees vir die lesing en interpretasie van eksperimentele data.
Adjei, Seth Akonor. "Refining Learning Maps with Data Fitting Techniques." Digital WPI, 2015. https://digitalcommons.wpi.edu/etd-theses/178.
Повний текст джерелаAssun??o, Joaquim Vinicius Carvalho. "Fitting techniques to knowledge discovery through stochastic models." Pontif?cia Universidade Cat?lica do Rio Grande do Sul, 2016. http://tede2.pucrs.br/tede2/handle/tede/7179.
Повний текст джерелаMade available in DSpace on 2017-03-20T14:37:41Z (GMT). No. of bitstreams: 1 TES_JOAQUIM_VINICIUS_CARVALHO_ASSUNCAO_COMPLETO.pdf: 5447781 bytes, checksum: f414b8262d7361d1082fc73dfea5f008 (MD5) Previous issue date: 2016-08-09
Modelos estoc?sticos podem ser ?teis para representar de maneira compacta cen?rios n?o determin?sticos. Al?m disso, simula??es aplicadas em um modelo compacto s?o mais r?pidas e demandam menos recursos computacionais do que t?cnicas de minera??o em grandes volumes de dados. O desafio est? na constru??o desses modelos. A acur?cia, juntamente com tempo e a quantidade de recursos usados para ajustar um modelo s?o fatores chave para sua utilidade. Tratamos aqui de t?cnicas de aprendizado de m?quina para ajustes de estruturas com a propriedade de Markov; especialmente formalismos complexos como Modelos Ocultos de Markov (HMM) e Redes de Automatos Estoc?sticos (SAN). Quanto a acur?cia, levamos em considera??o as atuais t?cnicas de ajuste, e medidas baseadas em verossimilhan?a. Quanto ao tempo de cria??o, automatizamos o processo de mapeamento de dados via s?ries temporais e t?cnicas de representa??o. Quanto aos recursos computacionais, usamos s?ries temporais e t?cnicas de redu??o de dimensionalidade, evitando assim, problemas com a explos?o do espa?o de estados. Tais t?cnicas s?o demonstradas em um processo que incorpora uma s?rie de passos comuns para o ajuste de modelos com s?ries temporais. Algo semelhante ao que o processo de descoberta de conhecimento em banco de dados (KDD) faz; por?m, tendo como componente principal, modelos estoc?sticos.
Stochastic models might be useful for creating compact representations of non-deterministic scenarios. Furthermore, simulations applied to a compact model, are faster and require fewer computational resources than the use of data mining techniques over large volumes of data. The challenge is to build such models. The accuracy as well as the time and the amount of resources used to fit such models, are the key factors related to their utility. We use machine learning techniques for the fitting of structures characterized by a Markov property; especially, complex formalisms such as Hidden Markov Models (HMM) and Stochastic Automata Networks (SAN). Regarding the accuracy, we considered the state of the art on fitting techniques and model measurements based on likelihood. Regarding the computational resources, we used time series and dimensionality reduction techniques to avoid the space state explosion. Such techniques are demonstrated in a process that embodies a set of common steps for the model fitting through time series. Similar to the knowledge discovery in databases (KDD), yet using stochastic models as a main component.
LeMay, Valerie. "Comparison of fitting techniques for systems of forestry equations." Thesis, University of British Columbia, 1988. http://hdl.handle.net/2429/29137.
Повний текст джерелаForestry, Faculty of
Graduate
Hooli, Santosh. "Development of FPGA based low-power digital pulse height fitting." Morgantown, W. Va. : [West Virginia University Libraries], 2006. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4963.
Повний текст джерелаTitle from document title page. Document formatted into pages; contains xi, 248 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 90-93).
Voisin, Sophie. "3D model acquisition, segmentation and reconstruction using primitive fitting." Dijon, 2008. http://www.theses.fr/2008DIJOS056.
Повний текст джерелаThe reverse engineering of a 3D object consists to identify the main parts or primitives, which best reconstruct its 3D point cloud. Because the success of the reconstruction process is greatly influenced by the errors generated along the reverse engineering chain, we focus our research on improving two phases of the process. Firstly, in order to minimize the point cloud acquisition errors associated with the use of a structured light projection scanner, we present a method to select the best illumination source and the best object appearance colors depending on the characteristics of the scanner used. Secondly, in order to obtain a simplified representation of the object while maintaining accuracy and realistic representation, we present novel 3D reconstruction and segmentation methods. The originality of these methods is the use of genetic algorithms to obtain the representation of the model using primitives, in our case using superquadriques or supershapes. The particularities of these methods lie in the flexibility provided by the genetic algorithms in solving optimization problems since they do not depend on the initialization process, and lie on the capabilities of the supershapes representation allowing to reconstruct very complex 3D shapes. Despite computing time relatively expensive, we present good performance results in terms of reconstruction and segmentation of objects and/or scenes
Mouat, Cameron Thomas. "Fast algorithms and preconditioning techniques for fitting radial basis functions." Thesis, University of Canterbury. Mathematics and Statistics, 2001. http://hdl.handle.net/10092/5598.
Повний текст джерелаBalakrishnan, Purnima Parvathy. "Studies of optimal track-fitting techniques for the DarkLight experiment." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/83813.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (page 49).
The DarkLight experiment is searching for a dark force carrier, the A' boson, and hopes to measure its mass with a resolution of approximately 1 MeV/c 2 . This mass calculation requires precise reconstruction to turn data, in the form of hits within the detector, into a particle track with known initial momentum. This thesis investigates the appropriateness of the Billoir optimal fit to reconstruct helical, low-energy lepton tracks while accounting for multiple scattering, using two separate track parameterizations. The first method approximates the track as a piecewise concatenation of parabolas in three-dimensions, and (wrongly) assumes that the y and z components of the track are independent. When tested using simulated data, this returns a track which geometrically fits the data. However, the momentum extracted from this geometrical representation is an order of magnitude higher than the true momentum of the track. The second method approximates the track as a piecewise concatenation of helical segments. This returns a track which geometrically fits the data even better than the parabolic parameterization, but which returns a momentum which depends on the seeds to the algorithm. Some further work must be done to modify this fitting method so that it will reliably reconstruct tracks.
by Purnima Parvathy Balakrishnan.
S.B.
Babu, Prabhu. "Spectral Analysis of Nonuniformly Sampled Data and Applications." Doctoral thesis, Uppsala universitet, Avdelningen för systemteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-180391.
Повний текст джерелаHodgkinson, Gerald James. "In search of Câ‚‚ and C₆₀ and improved line-profile fitting techniques." Thesis, Open University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.367992.
Повний текст джерелаFu, Nicole Christina. "Physical Properties of Massive, Star-Forming Galaxies When the Universe Was Only Two Billion Years Old." Thèse, Université d'Ottawa / University of Ottawa, 2011. http://hdl.handle.net/10393/19956.
Повний текст джерелаMamic, G. J. "Representation and recognition of 3-D free-form objects incorporating statistical techniques." Thesis, Queensland University of Technology, 2002.
Знайти повний текст джерелаSilva, Pedro Redol Lourenço da. "Os vitrais dos séculos XV e XVI do Mosteiro de Santa Maria da Vitória-estudo sobre o seu significado cultural e artístico, e sobre a sua conservação." Master's thesis, Instituições portuguesas -- UL-Universidade de Lisboa -- -Faculdade de Letras, 1999. http://dited.bn.pt:80/29121.
Повний текст джерелаMcPhillips, Kenneth J. "Far field shallow water horizontal wave number estimation given a linear towed array using fast maximum likelihood, matrix pencil, and subspace fitting techniques /." View online ; access limited to URI, 2007. http://0-digitalcommons.uri.edu.helin.uri.edu/dissertations/AAI3276997.
Повний текст джерелаBreßler, Ingo [Verfasser], Andreas F. [Akademischer Betreuer] Thünemann, Michael [Akademischer Betreuer] Gradzielski, Michael [Gutachter] Gradzielski, and Andreas F. [Gutachter] Thünemann. "Scattering techniques for nanoparticle analysis : classical curve fitting and Monte Carlo methods / Ingo Breßler ; Gutachter: Michael Gradzielski, Andreas F. Thünemann ; Andreas F. Thünemann, Michael Gradzielski." Berlin : Technische Universität Berlin, 2017. http://d-nb.info/1156018390/34.
Повний текст джерелаGalbincea, Nicholas D. "Critical Analysis of Dimensionality Reduction Techniques and Statistical Microstructural Descriptors for Mesoscale Variability Quantification." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1500642043518197.
Повний текст джерелаMcKenna, Frederick W. "Studies of cell survival curve fitting, effective doses for radiobiological evaluation in SBRT treatment techniques and the dependence of optical density growth in Gafchromic EBT film used in IMRT." Oklahoma City : [s.n.], 2009.
Знайти повний текст джерелаLaranjeira, Moreira Matheus. "Visual servoing on deformable objects : an application to tether shape control." Electronic Thesis or Diss., Toulon, 2019. http://www.theses.fr/2019TOUL0007.
Повний текст джерелаThis thesis addresses the problem of tether shape contrai for small remotely operated underwater vehicles (mini-ROVs), which are suitable, thanks to their small size and high maneuverability, for the exploration of shallow waters and cluttered spaces. The management of the tether is, however, a hard task, since these robots do not have enough propulsion power to counterbalance the drag forces acting on the tether cable. ln order to cape with this problem, we introduced the concept of a Chain of miniROVs, where several robots are linked to the tether cable and can, together, manage the external perturbations and contrai the shape of the cable. We investigated the use of the embedded cameras to regulate the shape of a portion of tether linking two successive robots, a leader and a follower. Only the follower robot deals with the tether shape regulation task. The leader is released to explore its surroundings. The tether linking bath robots is assumed to be negatively buoyant and is modeled by a catenary. The tether shape parameters are estimated in real-time by a nonlinear optimization procedure that fits the catenary model to the tether detected points in the image. The shape parameter regulation is thus achieved through a catenary-based contrai scheme relating the robot motion with the tether shape variation. The proposed visual servoing contrai scheme has proved to properly manage the tether shape in simulations and real experiments in pool
Atoui, Ibrahim Abdelhalim. "Data reduction techniques for wireless sensor networks using mathematical models." Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCD009.
Повний текст джерелаIn this thesis, we present energy-efficient data reduction and security techniques dedicated for wireless sensor networks. First, we propose a data aggregation model based on the similarity function that helps in removing the redundant data. In addition, based on the fitting functions we worked on sending less data features, accompanied with the fitting function that expresses all features. Second, we focus on heterogeneity of the data while studying the correlation among these multivariate features in order to enhance the data prediction technique that is based on the polynomial function, all after removing the similar measures in the aggregation phase using the Euclidean distance. Finally, we provide a rigorous security framework inherited from cryptography satisfies the level of exigence usually attained in tree-based WSNs. It prevents attackers from gaining any information about sensed data, by ensuring an end-to-end privacy between sensor nodes and the sink. In order to validate our proposed techniques, we implemented the simulations of the first technique on real readings collected from a small Sensor Scope network which is deployed at the Grand-St-Bernard, while the simulations of the second and the third techniques are conducted on real data collected from 54 sensors deployed in the Intel Berkeley Research Lab. The performance of our techniques is evaluated according to data reduction rate, energy consumption, data accuracy and time complexity
Agnani, Deep Bentz Joe. "Computational simulations to study the kinetics of drug efflux via multidrug resistant membrane proteins expressed in confluent cell monolayers : a critical evaluation of different models employed, data fitting techniques and global optimization strategies /." Philadelphia, Pa. : Drexel University, 2009. http://hdl.handle.net/1860/3030.
Повний текст джерелаKempthorne, Daryl Matthew. "The development of virtual leaf surface models for interactive agrichemical spray applications." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/84525/12/84525%28thesis%29.pdf.
Повний текст джерелаAmara, Mounir. "Segmentation de tracés manuscrits. Application à l'extraction de primitives." Rouen, 1998. http://www.theses.fr/1998ROUES001.
Повний текст джерела顏宏添. "Compression of color image via the technique of surface fitting." Thesis, 1991. http://ndltd.ncl.edu.tw/handle/13037037203945551144.
Повний текст джерелаTien, Yung-Chang, and 田詠昌. "CBCT scatter correction by two dimensional imaging curve fitting technique." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/58693289123747247096.
Повний текст джерела國立陽明大學
生物醫學影像暨放射科學系
101
In current medical imaging modalities, cone-beam CT is a new breakthrough. The difference between cone-beam CT and clinical CT is that CBCT takes shorter scan time and lower dose. However, CBCT has some technical defects, so it is only used in academic research and industrial testing until recently. Owing to CBCT’s advantages, it has also been used in image assessment in the dental field. This research focused on Compton effect, which was produced during imaging, and we developed the algorithm to correct the effect caused by scattered photon on the reconstructed image. The first method was ‘image inpainting’ which had been used in archeology. Image inpainting was the technique to fill holes in damaged region to the removal of selected objects. The second method was the mathematical function with model of polynomial to fit the data. We used the remaining of the scatter to estimate the scatter distribution and validate our methods by Monte Carlo (MC) simulation package (GATE). We used a domestic dental CT to scan the physical phantoms and analyze the data to asses our algorithms. The results found that polynomial fitting correction is better than image inpainting, and it can improve contrast to noise ratio (CNR) and reduce cupping artifact. On the first physical phantom, cupping artifact was reduced from 21.7% to 10.6% and contrast was improved from 10.47 to 18.60. On the second physical phantom, cupping artifact was reduced from 22.7% to 18.2% and contrast was improved from 1.98 to 2.29.
"Fitting of Hodgkin-Huxley experimental data via a new deformation kinetic based model." 2012. http://library.cuhk.edu.hk/record=b5549108.
Повний текст джерелаHodgkin-Huxley (HH) model has a profound influence on the development of electrophysiology. It is capable of modeling the transient responses of voltage-gated ion channels precisely. Nevertheless, limitations and deficiencies of the model were found as researchers conducted subsequent experiments. In this regard, a new model based on deformation kinetic has been put forth to help explaining the HH experimental data with a deeper level of physical insight. Under the proposed model, the famous HH equation [with formula] for the description of potassium conductance was replaced by [with formula] and the HH sodium conductance equation [with formula] was substituted by [with formula]. Meanwhile, n(t), m(t) and h(t) are still first order differential equations as the HH case. This thesis contributes to illustrate the capability of the new model in approximating HH’s experimental data on squids’ giant axons. Detailed derivation of the new model and identification of the parametric functions are summarized in this report. A customized genetic algorithm was utilized to optimize the model parameters. After fine tuning the new model, we are able to describe the conductance behaviors of voltage-gated ion channels closely, and manage to account for the Cole-Moore shift phenomenon. Under identical initial depolarizing stimuli and temperature as stated in HH’s experiments, close approximations of membrane action potential can also be obtained by the new model.
Detailed summary in vernacular field only.
Yu, Cheuk Him Derek.
Thesis (M.Phil.)--Chinese University of Hong Kong, 2012.
Includes bibliographical references (leaves 69-70).
Abstracts also in Chinese.
Chapter 1 --- Introduction --- p.1
Chapter 1.1 --- Overview of Electrophysiological Models --- p.4
Chapter 1.2 --- The Hodgkin-Huxley Membrane Current Model --- p.4
Chapter 1.2.1 --- Hodgkin-Huxley Potassium Channel --- p.6
Chapter 1.2.2 --- Hodgkin-Huxley Sodium Channel --- p.8
Chapter 1.3 --- Proliferation of the Deformation Kinetic Based Model --- p.10
Chapter 1.4 --- Thesis Outline --- p.12
Chapter 2 --- The Deformation Kinetic Based Model --- p.13
Chapter 2.1 --- The Molecular Theory --- p.13
Chapter 2.1.1 --- Application of Deformation Kinetics --- p.13
Chapter 2.1.2 --- The Energy Function E{U+2093} (q) --- p.14
Chapter 2.1.3 --- The Population Distribution Function P{U+2093} (N,t) --- p.17
Chapter 2.1.4 --- Conductance Model for Voltage-gated Ion Channels --- p.18
Chapter 2.2 --- The Approximate Solutions --- p.19
Chapter 2.2.1 --- Approximation of the General Solution for G{U+2093} (N) --- p.19
Chapter 2.2.2 --- Approximation of the General Solution for P{U+2093} (N,t) --- p.19
Chapter 2.2.3 --- The Approximate Solution for Molecular g{U+2093} (t) --- p.23
Chapter 2.2.4 --- A Convenient Form of the Approximate Solutions --- p.24
Chapter 2.3 --- Chapter Summary --- p.25
Chapter 3 --- Voltage-gated Ion Channel Modeling --- p.27
Chapter 3.1 --- Voltage-gated Potassium Channel Modeling --- p.27
Chapter 3.2 --- Voltage-gated Sodium Channel Modeling --- p.29
Chapter 3.3 --- Chapter Summary --- p.31
Chapter 4 --- The Parametric Functions --- p.32
Chapter 4.1 --- The Curve Fitting References - HH Experimental Data --- p.32
Chapter 4.2 --- Curve Fitting through Genetic Algorithm --- p.34
Chapter 4.3 --- Functional Approximations w.r.t. HH Experimental Data --- p.37
Chapter 4.3.1 --- Parametric Functions for Voltage-gated Potassium Channel --- p.37
Chapter 4.3.2 --- Parametric Functions for Voltage-gated Sodium Channel --- p.39
Chapter 4.4 --- Chapter Summary --- p.46
Chapter 5 --- The Tracing Results --- p.47
Chapter 5.1 --- Voltage Clamp Tracings --- p.47
Chapter 5.1.1 --- Potassium Conductance Tracings --- p.48
Chapter 5.1.2 --- Sodium Conductance Tracings --- p.49
Chapter 5.2 --- Membrane Action Potential Tracings --- p.54
Chapter 5.3 --- Propagated Action Potential Tracings --- p.56
Chapter 5.4 --- Chapter Summary --- p.59
Chapter 6? --- The Cole-Moore Shift Phenomenon --- p.60
Chapter 6.1 --- Cole-Moore shift Phenomenon of Voltage-gated Potassium Channel --- p.61
Chapter 6.2 --- Cole-Moore Shift Phenomenon of Voltage-gated Sodium Channel --- p.62
Chapter 6.3 --- Chapter Summary --- p.64
Chapter 7 --- Discussions --- p.65
Conclusion --- p.67
Future Works --- p.68
References --- p.69
Chapter Appendix I --- Hodgkin-Huxley’s Analysis of Voltage-gated Channels’ Voltage Clamp Data
Chapter (a) --- HH’s Analysis of Potassium Conductance Change in Voltage Clamp Experiments --- p.71
Chapter (b) --- HH’s Analysis of Sodium Conductance Change in Voltage Clamp Experiments --- p.71
Chapter Appendix II --- Numerical Estimations of Hodgkin-Huxley’s Experimental Data
Chapter (a) --- Numerical Estimations of Podium Conductance Change in Voltage Clamp Experiments for HH axon 17 --- p.72
Chapter (b) --- Numerical Estimations of Sodium Conductance Change in Voltage Clamp Experiments for HH axon 17 --- p.73
Chapter (c) --- Numerical Estimations of Membrane Action Potential with Different Initial Depolarizations for HH axon 17 --- p.74
Chapter Appendix III --- Verification of the Replica of HH Model’s Simulations Results
Chapter (a) --- Comparison between HH Membrane Action Potential and Its Replica --- p.75
Chapter (b) --- Comparison between HH Propagated Action Potential and Its Replica --- p.76
ZHANG, MING-HUA, and 張銘樺. "Weighted Subspace Fitting Technique Based on Swarm Optimization for Carrier Frequency Offset Estimation." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/r4zgt8.
Повний текст джерела嶺東科技大學
資訊科技系碩士班
107
This thesis deals with the blind carrier frequency offset (CFO) based on the swarm intelligence (SI) optimization algorithms with the weighted subspace fitting (WSF) criterion for interleaved frequency division multiplexing access (OFDMA) uplink system. For the CFO estimation problem, it is well know that the WSF has superior statistical characteristics and better estimation performance. However, this the type of CFO estimation must pass through the high dimensional space problem. Optimizing complex nonlinear multi-modal functions requires a large computational load, which makes it seem difficult and not easy to maximize or minimize nonlinear objective functions in large parameter spaces. Therefore, this thesis uses the SI optimization algorthms to improve the estimation accuracy and reduce computational load. The main optimization algorithms include particle swarm optimization (PSO), gravitational search algorithm (GSA), the hybrid PSO and GSA (PSOGSA), and the whale optimization algorithm (WOA). Meanwhile, this thesis also adds the fuzzy inference system to PSO and GSA for reducing the required number of iterations. Finally, several simulation results are provided for illustrating the effectiveness of the proposed CFO estimators.
Lee, You-Ching, and 李侑青. "Automatic Optical Inspection Techniques Based on Non-uniform Background Fitting." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/97599602036063089551.
Повний текст джерела國立中央大學
資訊工程學系
101
In recent years, object detection has become more popular for industry applications due to the usage of advanced scanning devices and the requirement of visual inspector. Moreover, due to the growth of image and video data, many issues of automatic object detection are expected such as substitution for human inspection, acceleration of inspection speed, and increases on inspection correctness. These issues include biomedical image diagnosis, deoxyribonucleic acid (DNA) electrophoresis analysis, protein electrophoresis analysis, vehicle safety monitoring, solar cell production inspection, semi-conductor wafer inspection, thin-film-transistor liquid-crystal display (TFT-LCD) inspection, texture segmentation, human face detection, house surveillance, etc. In this dissertation, we’ll discuss three of these interesting auto-detection issues: DNA electrophoresis analysis, TFT-LCD inspection, and texture segmentation. Among the three issues, foreground objects appear on non-uniform background. For DNA electrophoresis analysis, backgrounds are fitted by one dimensional curves; for TFT-LCD inspection, backgrounds are fitted by two dimensional planes; for texture segmentation, Gabor magnitudes of texture backgrounds are fitted by hyper planes. Before background fitting, each issue needs some pre-processing which is suitable for the image features of each issue. In DNA electrophoresis analysis, we proposed a completely automatic band detection system for pulsed-field gel electrophoresis (PFGE) images. Band detection comprises lane segmentation and band assignment. The lane segmentation algorithm characterizes features of the PFGE images and uses optimal line fitting to separate lanes. The band assignment algorithm uses polynomial fitting to remove the uneven background and uses gradient features of bands to detect bands. In TFT-LCD inspection, we proposed an online TFT-LCD mura defect detection method which consists of illumination calibration, multi-image accumulation, and multi-resolution background subtraction. First, an LCD on a moving product conveyer is contiguously captured by several images with different locations and a synthesized LCD image is used to calibrate the non-uniform illumination of the images. Second, the images are aligned in position to accumulate the gray levels of pixels which all correspond to a point on the LCD. Third, the multi-resolution backgrounds of the accumulated image are progressively estimated based on the discrete wavelet transform (DWT). We take the accumulated image into a multi-resolution and then refine the estimated background from coarse to fine. The accumulated image subtracted from the estimated background leaves the defect candidates. Finally, a standard thresholding method is used to “threshold out” the mura defects. In texture segmentation, we proposed an unsupervised texture segmentation method using optimal asymmetric Gabor filter (AGF) based on active contour model. First, we create a formula of the asymmetric Gaussian function and multiply a two dimensional (2D) complex sinusoidal function to the function to construct a 2D AGF. Then, compute the average and the variation of the Gabor magnitudes to capture the probability distribution of the Gabor magnitudes. The average and variation are used in the level-set energy functional to evolve the level-set contour. To obtain an AGF which is optimal to the current evolution contour, we propose a Fisher-like function which determines the optimal AGF for the processed image at every iteration determined. Finally, the proposed algorithm of active contour is described. Experiments demonstrate the proposed automatic object detection techniques: band detection system, mura detection method, and unsupervised texture segmentation. The band detection system can automatically segment the lanes in the gel images and detect the bands in the lanes. The band detection rate is 98.42%. The mura detection method can detect mura defects with arbitrary directions, shapes, and sizes. The detection rate of mura regions is 100%. The proposed unsupervised texture segmentation method can distinguish two different textural regions without pre-selecting a suitable Gabor filter.
Yi-Kai, Peng. "Applying Curve Fitting Techniques to Construct the Synopsis of Data Streams." 2006. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0016-0109200613412884.
Повний текст джерелаPeng, Yi-Kai, and 彭義凱. "Applying Curve Fitting Techniques to Construct the Synopsis of Data Streams." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/60091574710726087517.
Повний текст джерела國立清華大學
資訊系統與應用研究所
94
A data stream is a real-time, continuous, and ordered sequence of data items. It is a widely used data format to deal with large amount of dynamic data. Dynamic content and unbounded storage requirement are the two main characteristics of data streams. We need to deal with these two issues while processing data streams. For the dynamic content issue, the approximate answering is a widely used approach to process queries on data streams. For the unbounded storage size issue, some data structures have been proposed to summarize the data streams and keep the storage space required small. Synopsis is a data structure that summarizes the data streams. By using some algorithms, users can get approximate answers of data streams from the summarized information stored in synopsis. In this thesis, we use the curve fitting technique to construct the synopsis of data streams in the form of a curve that expressed by a polynomial function. The algorithms for constructing the synopsis data structure and querying the data stream are also proposed. We prove that the storage space required by the proposed method is O(logN). From the experimental results, we observe that our approach can achieve 95% accuracy on data contents for the queries.
Feng, Shaw Ching. "The use of tricubic solids and surface fitting techniques in automated mold production." 1987. http://catalog.hathitrust.org/api/volumes/oclc/18427589.html.
Повний текст джерелаTypescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 210-220).
Lin, ShihHsiang, and 林士翔. "Exploring the Use of Data Fitting and Clustering Techniques for Robust Speech Recognition." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/62281383807216796339.
Повний текст джерела國立臺灣師範大學
資訊教育學系
95
Speech is the primary and the most convenient means of communication between individuals. It is also expected that automatic speech recognition (ASR) will play a more active role and will serve as the major human-machine interface for the interaction between people and different kinds of intelligent electronic devices in the near future. Most of the current state-of-the-art ASR systems can achieve quite high recognition performance levels in controlled laboratory environments. However, as the systems are moved out of the laboratory environments and deployed into real-world applications, the performance of the systems often degrade dramatically due to the reason that varying environmental effects will lead to a mismatch between the acoustic conditions of the training and test speech data. Therefore, robustness techniques have received great importance and attention in recent years. Robustness techniques in general fall into two aspects according to whether the methods’ orientation is either from feature domain or from their corresponding probability distributions. Methods of each have their own superiority and limitations. In this thesis, several attempts were made to integrate these two distinguishing information to improve the current speech robustness methods by using a novel data-fitting scheme. Firstly, cluster-based polynomial-fit histogram equalization (CPHEQ), based on histogram equalization and polynomial regression, was proposed to directly characterize the relationship between the speech feature vectors and their corresponding probability distributions by utilizing stereo speech training data. Moreover, we extended the idea of CPHEQ with some elaborate assumptions, and two different methods were derived as well, namely, polynomial-fit histogram equalization (PHEQ) and selective cluster-based polynomial-fit histogram equalization (SCPHEQ). PHEQ uses polynomial regression to efficiently approximate the inverse of the cumulative density functions of speech feature vectors for HEQ. It can avoid the need of high computation cost and large disk storage consumption caused by traditional HEQ methods. SCPHEQ is based on the missing feature theory and use polynomial regression to reconstruct unreliable feature components. All experiments were carried out on the Aurora-2 database and task. Experimental results shown that for clean-condition training, our method achieved a considerable word error rate reduction over the baseline system and also significantly outperformed the other robustness methods.
Huang, Tzu-Hsuan, and 黃子軒. "Predicting Vt Variation and Static IR Drop of Ring Oscillators Using Model-Fitting Techniques." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/67062075019998685866.
Повний текст джерела國立交通大學
電子研究所
105
This thesis presents a statistical model-fitting framework to efficiently decompose the impact of device Vt variation and power-network IR drop from the measured ring-oscillator frequencies without adding any extra circuitry to the original ring oscillators. The framework applies Gaussian process regression as its core model-fitting technique and stepwise regression as a preprocess to select significant predictor features. The experiments conducted based on the SPICE simulation of an industrial 28nm technology demonstrate that our framework can simultaneously predict the NMOS Vt, PMOS Vt and static IR drop of the ring oscillators based on their frequencies measured at different external supply voltages. The final resulting R squares of the predicted features are all more than 99.93%.
ASSONITIS, ALESSIA. "Shock-fitting techniques on 2D/3D unstructured and structured grids: algorithmic developments and advanced applications." Doctoral thesis, 2023. https://hdl.handle.net/11573/1666903.
Повний текст джерелаAdelani, Titus Olufemi. "An Evaluation of Traffic Matrix Estimation Techniques for Large-Scale IP Networks." 2010. http://hdl.handle.net/1993/3869.
Повний текст джерелаHlavacek-Larrondo, Julie. "Analyse cinématique de l'hydrogène ionisé et étude du gaz ionisé diffus de trois galaxies du Groupe Sculpteur : NGC253, NGC300 et NGC247." Thèse, 2009. http://hdl.handle.net/1866/8048.
Повний текст джерела