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Dissertations / Theses on the topic 'PCA ALGORITHM'

Author: Grafiati

Published: 11 September 2023

Last updated: 25 July 2025

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1

Petters, Patrik. "Development of a Supervised Multivariate Statistical Algorithm for Enhanced Interpretability of Multiblock Analysis." Thesis, Linköpings universitet, Matematiska institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138112.

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In modern biological research, OMICs techniques, such as genomics, proteomics or metabolomics, are often employed to gain deep insights into metabolic regulations and biochemical perturbations in response to a specific research question. To gain complementary biologically relevant information, multiOMICs, i.e., several different OMICs measurements on the same specimen, is becoming increasingly frequent. To be able to take full advantage of this complementarity, joint analysis of such multiOMICs data is necessary, but this is yet an underdeveloped area. In this thesis, a theoretical background

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2

Ergin, Emre. "Investigation Of Music Algorithm Based And Wd-pca Method Based Electromagnetic Target Classification Techniques For Their Noise Performances." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12611218/index.pdf.

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Multiple Signal Classification (MUSIC) Algorithm based and Wigner Distribution-Principal Component Analysis (WD-PCA) based classification techniques are very recently suggested resonance region approaches for electromagnetic target classification. In this thesis, performances of these two techniques will be compared concerning their robustness for noise and their capacity to handle large number of candidate targets. In this context, classifier design simulations will be demonstrated for target libraries containing conducting and dielectric spheres and for dielectric coated conducting spheres.

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Romualdo, Kamilla Vogas. "Problemas direto e inverso de processos de separação em leito móvel simulado mediante mecanismos cinéticos de adsorção." Universidade do Estado do Rio de Janeiro, 2012. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=6750.

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Diversas aplicações industriais relevantes envolvem os processos de adsorção, citando como exemplos a purificação de produtos, separação de substâncias, controle de poluição e umidade entre outros. O interesse crescente pelos processos de purificação de biomoléculas deve-se principalmente ao desenvolvimento da biotecnologia e à demanda das indústrias farmacêutica e química por produtos com alto grau de pureza. O leito móvel simulado (LMS) é um processo cromatográfico contínuo que tem sido aplicado para simular o movimento do leito de adsorvente, de forma contracorrente ao movimento do líquido,

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4

SINGH, BHUPINDER. "A HYBRID MSVM COVID-19 IMAGE CLASSIFICATION ENHANCED USING PARTICLE SWARM OPTIMIZATION." Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18864.

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COVID-19 (novel coronavirus disease) is a serious illness that has killed millions of civilians and affected millions around the world. Mostly as result, numerous technologies that enable both the rapid and accurate identification of COVID-19 illnesses will provide much assistance to healthcare practitioners. A machine learning- based approach is used for the detection of COVID-19. In general, artificial intelligence (AI) approaches have yielded positive outcomes in healthcare visual processing and analysis. CXR is the digital image processing method that plays a vital role in the a

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5

Wang, Xuechuan, and n/a. "Feature Extraction and Dimensionality Reduction in Pattern Recognition and Their Application in Speech Recognition." Griffith University. School of Microelectronic Engineering, 2003. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20030619.162803.

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Conventional pattern recognition systems have two components: feature analysis and pattern classification. Feature analysis is achieved in two steps: parameter extraction step and feature extraction step. In the parameter extraction step, information relevant for pattern classification is extracted from the input data in the form of parameter vector. In the feature extraction step, the parameter vector is transformed to a feature vector. Feature extraction can be conducted independently or jointly with either parameter extraction or classification. Linear Discriminant Analysis (LDA) and Princi

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Wang, Xuechuan. "Feature Extraction and Dimensionality Reduction in Pattern Recognition and Their Application in Speech Recognition." Thesis, Griffith University, 2003. http://hdl.handle.net/10072/365680.

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Conventional pattern recognition systems have two components: feature analysis and pattern classification. Feature analysis is achieved in two steps: parameter extraction step and feature extraction step. In the parameter extraction step, information relevant for pattern classification is extracted from the input data in the form of parameter vector. In the feature extraction step, the parameter vector is transformed to a feature vector. Feature extraction can be conducted independently or jointly with either parameter extraction or classification. Linear Discriminant Analysis (LDA) and Princi

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7

Rimal, Suraj. "POPULATION STRUCTURE INFERENCE USING PCA AND CLUSTERING ALGORITHMS." OpenSIUC, 2021. https://opensiuc.lib.siu.edu/theses/2860.

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Genotype data, consisting large numbers of markers, is used as demographic and association studies to determine genes related to specific traits or diseases. Handling of these datasets usually takes a significant amount of time in its application of population structure inference. Therefore, we suggested applying PCA on genotyped data and then clustering algorithms to specify the individuals to their particular subpopulations. We collected both real and simulated datasets in this study. We studied PCA and selected significant features, then applied five different clustering techniques to obtai

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8

Katadound, Sachin. "Face Recognition: Study and Comparison of PCA and EBGM Algorithms." TopSCHOLAR®, 2004. http://digitalcommons.wku.edu/theses/241.

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Face recognition is a complex and difficult process due to various factors such as variability of illumination, occlusion, face specific characteristics like hair, glasses, beard, etc., and other similar problems affecting computer vision problems. Using a system that offers robust and consistent results for face recognition, various applications such as identification for law enforcement, secure system access, computer human interaction, etc., can be automated successfully. Different methods exist to solve the face recognition problem. Principal component analysis, Independent component analy

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Perez, Gallardo Jorge Raúl. "Ecodesign of large-scale photovoltaic (PV) systems with multi-objective optimization and Life-Cycle Assessment (LCA)." Phd thesis, Toulouse, INPT, 2013. http://oatao.univ-toulouse.fr/10505/1/perez_gallardo_partie_1_sur_2.pdf.

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Because of the increasing demand for the provision of energy worldwide and the numerous damages caused by a major use of fossil sources, the contribution of renewable energies has been increasing significantly in the global energy mix with the aim at moving towards a more sustainable development. In this context, this work aims at the development of a general methodology for designing PV systems based on ecodesign principles and taking into account simultaneously both techno-economic and environmental considerations. In order to evaluate the environmental performance of PV systems, an environm

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10

Lacasse, Alexandre. "Bornes PAC-Bayes et algorithmes d'apprentissage." Thesis, Université Laval, 2010. http://www.theses.ulaval.ca/2010/27635/27635.pdf.

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L’objet principale de cette thèse est l’étude théorique et la conception d’algorithmes d’apprentissage concevant des classificateurs par vote de majorité. En particulier, nous présentons un théorème PAC-Bayes s’appliquant pour borner, entre autres, la variance de la perte de Gibbs (en plus de son espérance). Nous déduisons de ce théorème une borne du risque du vote de majorité plus serrée que la fameuse borne basée sur le risque de Gibbs. Nous présentons également un théorème permettant de borner le risque associé à des fonctions de perte générale. À partir de ce théorème, nous concevons des a

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11

Koutsogiannis, Grigorios. "Novel TDE demodulator and kernal-PCA denoising algorithms for improvement of reception of communication signal." Thesis, University of Strathclyde, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.401349.

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12

Shanian, Sara. "Sample Compressed PAC-Bayesian Bounds and Learning Algorithms." Thesis, Université Laval, 2012. http://www.theses.ulaval.ca/2012/29037/29037.pdf.

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Dans le domaine de la classification, les algorithmes d'apprentissage par compression d'échantillons sont des algorithmes qui utilisent les données d'apprentissage disponibles pour construire l'ensemble de classificateurs possibles. Si les données appartiennent seulement à un petit sous-espace de l'espace de toutes les données «possibles», ces algorithmes possédent l'intéressante capacité de ne considérer que les classificateurs qui permettent de distinguer les exemples qui appartiennent à notre domaine d'intérêt. Ceci contraste avec d'autres algorithmes qui doivent cons

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13

Knapo, Peter. "Vývoj algoritmů pro digitální zpracování obrazu v reálním čase v DSP procesoru." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-217872.

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Rozpoznávanie tvárí je komplexný proces, ktorého hlavným ciežom je rozpoznanie žudskej tváre v obrázku alebo vo video sekvencii. Najčastejšími aplikáciami sú sledovacie a identifikačné systémy. Taktiež je rozpoznávanie tvárí dôležité vo výskume počítačového videnia a umelej inteligencií. Systémy rozpoznávania tvárí sú často založené na analýze obrazu alebo na neurónových sieťach. Táto práca sa zaoberá implementáciou algoritmu založeného na takzvaných „Eigenfaces“ tvárach. „Eigenfaces“ tváre sú výsledkom Analýzy hlavných komponent (Principal Component Analysis - PCA), ktorá extrahuje najdôležit

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14

Zirakiza, Brice, and Brice Zirakiza. "Forêts Aléatoires PAC-Bayésiennes." Master's thesis, Université Laval, 2013. http://hdl.handle.net/20.500.11794/24036.

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Dans ce mémoire de maîtrise, nous présentons dans un premier temps un algorithme de l'état de l'art appelé Forêts aléatoires introduit par Léo Breiman. Cet algorithme effectue un vote de majorité uniforme d'arbres de décision construits en utilisant l'algorithme CART sans élagage. Par après, nous introduisons l'algorithme que nous avons nommé SORF. L'algorithme SORF s'inspire de l'approche PAC-Bayes, qui pour minimiser le risque du classificateur de Bayes, minimise le risque du classificateur de Gibbs avec un régularisateur. Le risque du classificateur de Gibbs constitue en effet, une fonction

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15

Germain, Pascal. "Algorithmes d'apprentissage automatique inspirés de la théorie PAC-Bayes." Thesis, Université Laval, 2009. http://www.theses.ulaval.ca/2009/26191/26191.pdf.

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Dans un premier temps, ce mémoire présente un théorème PAC-Bayes général, duquel il est possible d'obtenir simplement plusieurs bornes PAC-Bayes connues. Ces bornes permettent de calculer une garantie sur le risque d'un classificateur à partir de ses performances sur l'ensemble de données d'entraînement. Par l'interprétation du comportement de deux bornes PAC-Bayes, nous énonçons les caractéristiques propres aux classificateurs qu'elles favorisent. Enfin, une spécialisation de ces bornes à la famille des classificateurs linéaires est détaillée. Dans un deuxième temps, nous concevons trois no

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Awasthi, Pranjal. "Approximation Algorithms and New Models for Clustering and Learning." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/266.

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This thesis is divided into two parts. In part one, we study the k-median and the k-means clustering problems. We take a different approach than the traditional worst case analysis models. We show that by looking at certain well motivated stable instances, one can design much better approximation algorithms for these problems. Our algorithms achieve arbitrarily good approximation factors on stable instances, something which is provably hard on worst case instances. We also study a different model for clustering which introduces limited amount of interaction with the user. Such interactive mode

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17

Minotti, Gioele. "Sviluppo di algoritmi di machine learning per il monitoraggio stradale." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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La seguente tesi si pone l’obiettivo di simulare un algoritmo di machine learning per studiarne il funzionamento con l’idea specifica di creare un sistema di rilevazione di asperità o punti di disconnessione sul manto stradale durante il transito di un’autovettura. La trattazione di questo elaborato è stata organizzata come segue: • Fase di osservazione e acquisizione dati in modo da poter raccogliere campioni descrittivi del fenomeno in oggetto. • Fase di elaborazione del dataset e di dimensionality reduction dello stesso. • Sviluppo dell’algoritmo di tipo K-NN. • Studio del comportament

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Berlier, Jacob A. "A Parallel Genetic Algorithm for Placement and Routing on Cloud Computing Platforms." VCU Scholars Compass, 2011. http://scholarscompass.vcu.edu/etd/2406.

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The design and implementation of today's most advanced VLSI circuits and multi-layer printed circuit boards would not be possible without automated design tools that assist with the placement of components and the routing of connections between these components. In this work, we investigate how placement and routing can be implemented and accelerated using cloud computing resources. A parallel genetic algorithm approach is used to optimize component placement and the routing order supplied to a Lee's algorithm maze router. A study of mutation rate, dominance rate, and population size is presen

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19

Carletti, Davide. "Applicazioni dell'analisi tensoriale delle componenti principali." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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In questa tesi si studia l'analisi delle componenti principali (PCA): a partire da un dataset iniziale, si vuole ridurre la grande mole dei dati originari per semplificare il problema mantenendo tutte e informazioni principali. Lo si fa attraverso due metodi diversi: il primo è la PCA matriciale e viene spiegata nel Capitolo 2; il secondo viene descritto nel Capitolo 3 tramite i tensori e sarà applicato mediante la decomposizione Tensor Train, una delle possibili strategie per scomporre un tensore.

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Classon, Johan, and Viktor Andersson. "Procedural Generation of Levels with Controllable Difficulty for a Platform Game Using a Genetic Algorithm." Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129801.

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This thesis describes the implementation and evaluation of a genetic algorithm (GA) for procedurally generating levels with controllable difficulty for a motion-based 2D platform game. Manually creating content can be time-consuming, and it may be desirable to automate this process with an algorithm, using Procedural Content Generation (PCG). An algorithm was implemented and then refined with an iterative method by conducting user tests. The resulting algorithm is considered a success and shows that using GA's for this kind of PCG is viable. An algorithm able to control difficulty of its outpu

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Kini, Rohit Ravindranath. "Sensor Position Optimization for Multiple LiDARs in Autonomous Vehicles." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-289597.

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3D ranging sensor LiDAR, is an extensively used sensor in the autonomous vehicle industry, but LiDAR placement problem is not studied extensively. This thesis work proposes a framework in an open- source autonomous driving simulator (CARLA) that aims to solve LiDAR placement problem, based on the tasks that LiDAR is intended for in most of the autonomous vehicles. LiDAR placement problem is solved by improving point cloud density around the vehicle, and this is calculated by using LiDAR Occupancy Boards (LOB). Introducing LiDAR Occupancy as an objective function, the genetic algorithm is used

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Soukup, Jiří. "Metody a algoritmy pro rozpoznávání obličejů." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2008. http://www.nusl.cz/ntk/nusl-374588.

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This work is describing basic methods of face recognition. The methods PCA, LDA, ICA, trace tranfsorm, elastic bunch graph map, genetic algorithm and neural network are described. In practical part, the PCA, PCA + RBF neural network and genetic algorithms are implemented. The RBF neural network is used in the way of clasificator and genetic algorithm is used for RBF NN training in one case and for selecting eigenvectors from PCA method in the other case. This method, PCA + GA, called EPCA, outperform other methods tested in this work on the ORL testing database.

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Bacchielli, Tommaso. "Algoritmi di Machine Learning per il riconoscimento di attività umane da vibrazioni strutturali." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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La tesi tratta l'implementazione di algoritmi di "Machine Learning" per il riconoscimento di quattro attività umane (camminata, corsa, bici e auto) sfruttando solo le vibrazioni strutturali che queste producono nel terreno, le quali sono state rilevate mediante due geofoni elettromagnetici (uno orizzontale e uno verticale). Tutte le fasi del progetto, a partire dall'acquisizione ed elaborazione dei dati fino all'implementazione degli algoritmi di "Machine Learning", sono state sviluppate in MATLAB.

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Xingwen, Ding, Zhai Wantao, Chang Hongyu, and Chen Ming. "CMA BLIND EQUALIZER FOR AERONAUTICAL TELEMETRY." International Foundation for Telemetering, 2016. http://hdl.handle.net/10150/624262.

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In aeronautical telemetry, the multipath interference usually causes significant performance degradation. As the bit rate of telemetry systems increases, the impairments of multipath interference are more serious. The constant modulus algorithm (CMA) blind equalizer is effective to mitigate the impairments of multipath interference. The CMA adapts the equalizer coefficients to minimize the deviation of the signal envelope from a constant level. This paper presents the performances of the CMA blind equalizer applied for PCM-FM, PCM-BPSK, SOQPSK-TG and ARTM CPM in aeronautical telemetry.

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Davis, Daniel Jacob. "Achieving Six Sigma printed circuit board yields by improving incoming component quality and using a PCBA prioritization algorithm." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/43831.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2008.<br>Includes bibliographical references (p. 139-143).<br>Printed circuit board assemblies (PCBAs) are the backbone of the electronics industry. PCBA technologies are keeping pace with Moore's Law and will soon enable the convergence of video, voice, data, and mobility onto a single device. With the rapid advancements in product and component technologies, ma

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Marques, Daniel Soares e. "Sistema misto reconfigurável aplicado à Interface PCI para Otimização do Algoritmo Non-local Means." Universidade Federal da Paraíba, 2012. http://tede.biblioteca.ufpb.br:8080/handle/tede/6075.

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Made available in DSpace on 2015-05-14T12:36:34Z (GMT). No. of bitstreams: 1 arquivototal2.pdf: 4503412 bytes, checksum: e8c898ba24436013a2e89d08737039bb (MD5) Previous issue date: 2012-08-31<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES<br>The digital image processing field is continually evolving and, although the diverse application areas, the commonly problems found converge to methods capable to improve visual information for analysis and interpretation. A major limitation issue on image precision is noise, which is defined as a perturbation in the image.

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Van, der Walt Marizelle. "Investigating the empirical relationship between oceanic properties observable by satellite and the oceanic pCO₂ / Marizelle van der Walt." Thesis, North-West University, 2011. http://hdl.handle.net/10394/9536.

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In this dissertation, the aim is to investigate the empirical relationship between the partial pressure of CO2 (pCO2) and other ocean variables in the Southern Ocean, by using a small percentage of the available data. CO2 is one of the main greenhouse gases that contributes to global warming and climate change. The concentration of anthropogenic CO2 in the atmosphere, however, would have been much higher if some of it was not absorbed by oceanic and terrestrial sinks. The oceans absorb and release CO2 from and to the atmosphere. Large regions in the Southern Ocean are expected to be a CO2 sink

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Wessman, Filip. "Advanced Algorithms for Classification and Anomaly Detection on Log File Data : Comparative study of different Machine Learning Approaches." Thesis, Mittuniversitetet, Institutionen för informationssystem och –teknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-43175.

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Background: A problematic area in today’s large scale distributed systems is the exponential amount of growing log data. Finding anomalies by observing and monitoring this data with manual human inspection methods becomes progressively more challenging, complex and time consuming. This is vital for making these systems available around-the-clock. Aim: The main objective of this study is to determine which are the most suitable Machine Learning (ML) algorithms and if they can live up to needs and requirements regarding optimization and efficiency in the log data monitoring area. Including what

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Della, Chiesa Enrico. "Implementazione Tensorflow di Algoritmi di Anomaly Detection per la Rilevazione di Intrusioni Mediante Signals of Opportunity (SoOP)." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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In questo elaborato viene presentata l’implementazione di algoritmi di machine learning di tipo supervised e unsupervised attraverso Python e Tensorflow. In particolare viene affrontato come caso di studio l’implementazione di algoritmi di Anomaly Detection. Nel Capitolo 1 vengono presentati gli algoritmi di machine learning implementati. Nel Capitolo 2 viene presentato e analizzato l’ambiente di sviluppo utilizzato, costituito da Python e Tensoflow. Infine è presentata l’implementazione degli algoritmi descritti al capitolo 1. Nel Capitolo 3 sono implementati come caso di studio due algoritm

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Jošth, Radovan. "Využití GPU pro algoritmy grafiky a zpracování obrazu." Doctoral thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-261274.

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Táto práca popisuje niekoľko vybraných algoritmov, ktoré boli primárne vyvinuté pre CPU procesory, avšak vzhľadom k vysokému dopytu po ich vylepšeniach sme sa rozhodli ich využiť v prospech GPGPU (procesorov grafického adaptéra). Modifikácia týchto algoritmov bola zároveň cieľom nášho výskumu, ktorý bol prevedený pomocou CUDA rozhrania. Práca je členená podľa troch skupín algoritmov, ktorým sme sa venovali: detekcia objektov v reálnom čase, spektrálna analýza obrazu a detekcia čiar v reálnom čase. Pre výskum detekcie objektov v reálnom čase sme zvolili použitie LRD a LRP funkcií. Výskum spek

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Cazelles, Elsa. "Statistical properties of barycenters in the Wasserstein space and fast algorithms for optimal transport of measures." Thesis, Bordeaux, 2018. http://www.theses.fr/2018BORD0125/document.

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Cette thèse se concentre sur l'analyse de données présentées sous forme de mesures de probabilité sur R^d. L'objectif est alors de fournir une meilleure compréhension des outils statistiques usuels sur cet espace muni de la distance de Wasserstein. Une première notion naturelle est l'analyse statistique d'ordre un, consistant en l'étude de la moyenne de Fréchet (ou barycentre). En particulier, nous nous concentrons sur le cas de données (ou observations) discrètes échantillonnées à partir de mesures de probabilité absolument continues (a.c.) par rapport à la mesure de Lebesgue. Nous introduiso

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Björklund, Oscar. "Kompakthet av procedurellt genererade grottsystem : En jämförelse av procedurellt genererade grottsystem." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-12355.

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För att minska mängden arbete för att skapa spel så används Procedural Content Generation (PCG) för att kunna skapa nytt och varierat innehåll för spel. Denna studie fokuserar på att undersöka algoritmerna Binary Space Partitioning, Shortest Path och Cellular Automata för att skapa banor till spel med en grottstruktur. Undersökningens syfte är att utvärdera hur snabbt dessa skapar banor, hur kompakta dessa är och hur stor del av den totala ytan som förblir oanvänd. Efter testerna kan slutsatsen dras att den mest effektiva algoritmen för att skapa mest de mest kompakta grottsystemen på kort tid

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Durán, Alcaide Ángel. "Development of high-performance algorithms for a new generation of versatile molecular descriptors. The Pentacle software." Doctoral thesis, Universitat Pompeu Fabra, 2010. http://hdl.handle.net/10803/7201.

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The work of this thesis was focused on the development of high-performance algorithms for a new generation of molecular descriptors, with many advantages with respect to its predecessors, suitable for diverse applications in the field of drug design, as well as its implementation in commercial grade scientific software (Pentacle). As a first step, we developed a new algorithm (AMANDA) for discretizing molecular interaction fields which allows extracting from them the most interesting regions in an efficient way. This algorithm was incorporated into a new generation of alignmentindependent mol

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Uyanik, Basar. "Cell Formation: A Real Life Application." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606635/index.pdf.

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In this study, the plant layout problem of a worldwide Printed Circuit Board (PCB) producer company is analyzed. Machines are grouped into cells using grouping methodologies of Tabular Algorithm, K-means clustering algorithm, and Hierarchical grouping with Levenshtein distances. Production plant layouts, which are formed by using different techniques, are evaluated using technical and economical indicators.

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Parks, Jeremy. "A Texas Instruments C33 DSP PCI platform for high-speed real-time implementation of IEEE802.11a Wireless LAN algorithms." [Gainesville, Fla.] : University of Florida, 2003. http://purl.fcla.edu/fcla/etd/UFE0002880.

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Ranjitkar, Hari Sagar, and Sudip Karki. "Comparison of A*, Euclidean and Manhattan distance using Influence map in MS. Pac-Man." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-11800.

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Context An influence map and potential fields are used for finding path in domain of Robotics and Gaming in AI. Various distance measures can be used to find influence maps and potential fields. However, these distance measures have not been compared yet. ObjectivesIn this paper, we have proposed a new algorithm suitable to find an optimal point in parameters space from random parameter spaces. Finally, comparisons are made among three popular distance measures to find the most efficient. Methodology For our RQ1 and RQ2, we have implemented a mix of qualitative and quantitative approach and fo

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Bagi, Ligia Bariani. "Algoritmo treansgen?tico na solu??o do problema do Caixeiro Viajante." Universidade Federal do Rio Grande do Norte, 2007. http://repositorio.ufrn.br:8080/jspui/handle/123456789/18112.

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Made available in DSpace on 2014-12-17T15:48:11Z (GMT). No. of bitstreams: 1 LigiaBB.pdf: 1036516 bytes, checksum: 36260a287f3ddf0bc38abbb0ec32b82f (MD5) Previous issue date: 2007-02-09<br>Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior<br>The Traveling Purchaser Problem is a variant of the Traveling Salesman Problem, where there is a set of markets and a set of products. Each product is available on a subset of markets and its unit cost depends on the market where it is available. The objective is to buy all the products, departing and returning to a domicile, at the least possi

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Gagliardi, Raphael Luiz. "Aplicação de Inteligência Computacional para a Solução de Problemas Inversos de Transferência Radiativa em Meios Participantes Unidimensionais." Universidade do Estado do Rio de Janeiro, 2010. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=7543.

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Esta pesquisa consiste na solução do problema inverso de transferência radiativa para um meio participante (emissor, absorvedor e/ou espalhador) homogêneo unidimensional em uma camada, usando-se a combinação de rede neural artificial (RNA) com técnicas de otimização. A saída da RNA, devidamente treinada, apresenta os valores das propriedades radiativas [ω, τ0, ρ1 e ρ2] que são otimizadas através das seguintes técnicas: Particle Collision Algorithm (PCA), Algoritmos Genéticos (AG), Greedy Randomized Adaptive Search Procedure (GRASP) e Busca Tabu (BT). Os dados usados no trei

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Bountourelis, Theologos. "Efficient pac-learning for episodic tasks with acyclic state spaces and the optimal node visitation problem in acyclic stochastic digaphs." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/28144.

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Thesis (M. S.)--Industrial and Systems Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Reveliotis, Spyros; Committee Member: Ayhan, Hayriye; Committee Member: Goldsman, Dave; Committee Member: Shamma, Jeff; Committee Member: Zwart, Bert.

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Karlsson, Albin. "Evaluation of the Complexity of Procedurally Generated Maze Algorithms." Thesis, Blekinge Tekniska Högskola, Institutionen för kreativa teknologier, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16839.

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Background. Procedural Content Generation (PCG) in Video Games can be used as a tool for efficiently producing large varieties of new content using less manpower, making it ideal for smaller teams of developers who wants to compete with games made by larger teams. One particular facet of PCG is the generation of mazes. Designers that want their game to feature mazes also need to know how to evaluate their maze-complexity, in order to know which maze fits the difficulty curve best. Objectives. This project aims to investigate the difference in complexity between the maze generation algorithms r

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Helge, Adam. "Procedurell Generering - Rum och Korridorer : En jämförelse av BSP och Bucks algoritm som metoder för procedurell generering av dungeons." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15288.

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Procedurell generering av spelinnehåll är idag ett populärt alternativ för många spelutvecklare då det kan minska kostanden, tiden samt arbetsbördan för mindre bolag. Den här studien har som syfte att undersöka två stycken algoritmer inom procedurell generering där den ena är BSP och den andra är Bucks algoritm. Bucks algoritm är en ny, okänd och tämligen oanvänd algoritm som är av intresse att undersöka för att utvärdera dess användbarhet inom spelutveckling. Resultatet från studien visar att BSP genererar innehåll snabbast och i gengäld skapar Bucks algoritm innehåll med en högre nivå av den

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Audibert, Jean-Yves. "Théorie statistique de l'apprentissage : une approche PAC-Bayésienne." Paris 6, 2004. http://www.theses.fr/2004PA066003.

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Morandini, Jacques. "Contribution à la résolution multi-méthode des équations aux dérivées partielles couplées rencontrées en magnéto-thermo-hydrodynamique." Grenoble INPG, 1994. http://www.theses.fr/1994INPG0068.

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Une analyse methodologique de la resolution numerique des equations aux derivees partielles couplees rencontrees en physique des milieux continus, et plus particulierement en magneto-thermo-hydrodynamique, est presentee. L'originalite de cette approche repose sur une generalisation des notions de methode numerique et d'algorithme de controle de la resolution, ainsi que sur la modelisation dynamique des objets, support des phenomenes physiques simules. Nous nous sommes appuyes sur cette analyse pour la specification et le developpement d'un prototype de systeme generateur multi-methode, dans le

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Alfredsson, Jon. "Design of a parallel A/D converter system on PCB : For high-speed sampling and timing error correction." Thesis, Linköping University, Department of Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1201.

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<p>The goals for most of today’s receiver system are sampling at high-speed, with high resolution and with as few errors as possible. This master thesis describes the design of a high-speed sampling system with"state-of-the-art"components available on the market. The system is designed with a parallel Analog-to-digital converter (ADC) architecture, also called time interleaving. It aims to increase the sampling speed of the system. The system described in this report uses four 12-bits ADCs in parallel. Each ADC can sample at 125 MHz and the total sampling speed will then theoretically become 5

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Dahl, David, and Oscar Pleininger. "A Comparative Study of Representations for Procedurally Generated Structures in Games." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20665.

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In this paper we have compared and evaluated two different representations used in search based procedural content generation (PCG). The comparison was based on the differences in performance, quality of the generated content and the complexity of the final artifacts. This was accomplished by creating two artifacts, each of which used one of the representations in combination with a genetic algorithm. This was followed up with individual testing sessions in which 21 test subjects participated. The evaluated results were then presented in a manner of relevance for both search based PCG as a who

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Elhadji, Ille Gado Nassara. "Méthodes aléatoires pour l’apprentissage de données en grande dimension : application à l'apprentissage partagé." Thesis, Troyes, 2017. http://www.theses.fr/2017TROY0032.

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Cette thèse porte sur l’étude de méthodes aléatoires pour l’apprentissage de données en grande dimension. Nous proposons d'abord une approche non supervisée consistant en l'estimation des composantes principales, lorsque la taille de l'échantillon et la dimension de l'observation tendent vers l'infini. Cette approche est basée sur les matrices aléatoires et utilise des estimateurs consistants de valeurs propres et vecteurs propres de la matrice de covariance. Ensuite, dans le cadre de l’apprentissage supervisé, nous proposons une approche qui consiste à, d'abord réduire la dimension grâce à un

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Figueiredo, António José Pereira de. "Energy efficiency and comfort strategies for Southern European climate : optimization of passive housing and PCM solutions." Doctoral thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/17291.

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Doutoramento em Engenharia Civil<br>Pursuing holistic sustainable solutions, towards the target defined by the United Nations Framework Convention on Climate Change (UNFCCC) is a stimulating goal. Exploring and tackling this task leads to a broad number of possible combinations of energy saving strategies than can be bridged by Passive House (PH) concept and the use of advanced materials, such as Phase Change Materials (PCM) in this context. Acknowledging that the PH concept is well established and practiced mainly in cold climate countries of Northern and Central Europe, the present research

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Bennett, Casey. "Channel Noise and Firing Irregularity in Hybrid Markov Models of the Morris-Lecar Neuron." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1441551744.

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Dobossy, Barnabás. "Odhad parametrů jezdce na vozítku segway a jejich použití pro optimalizaci řídícího algoritmu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-399406.

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Táto práca sa zaoberá vývojom, testovaním a implementáciou adaptívneho riadiaceho systému pre dvojkolesové samobalancujúce vozidlo. Adaptácia parametrov vozidla sa uskutoční na základe parametrov vodiča. Parametre sústavy sa nemerajú priamo, ale sú odhadované na základe priebehu stavových premenných a odozvy sústavy. Medzi odhadované parametre patrí hmotnosť a poloha ťažiska vodiča. Cieľom práce je zabezpečiť adaptáciu jazdných vlastností vozidla k rôznym vodičom s rôznou hmotnosťou, kvôli zlepšeniu stability vozidla. Táto práca je pokračovaním predchádzajúcich projektov z roku 2011 a 2015.

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Goyal, Anil. "Learning a Multiview Weighted Majority Vote Classifier : Using PAC-Bayesian Theory and Boosting." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSES037/document.

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La génération massive de données, nous avons de plus en plus de données issues de différentes sources d’informations ayant des propriétés hétérogènes. Il est donc important de prendre en compte ces représentations ou vues des données. Ce problème d'apprentissage automatique est appelé apprentissage multivue. Il est utile dans de nombreux domaines d’applications, par exemple en imagerie médicale, nous pouvons représenter le cerveau humains via des IRM, t-fMRI, EEG, etc. Dans cette cette thèse, nous nous concentrons sur l’apprentissage multivue supervisé, où l’apprentissage multivue est une comb

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