Dissertations / Theses on the topic 'Principal series'
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Raskin, Samuel David. "Chiral Principal Series Categories." Thesis, Harvard University, 2014. http://dissertations.umi.com/gsas.harvard:11525.
Full textMathematics
Budden, Mark. "On the local coefficients of principal series representations of metaplectic groups /." free to MU campus, to others for purchase, 2003. http://wwwlib.umi.com/cr/mo/fullcit?p3099612.
Full textDeFranco, Mario A. (Mario Anthony). "The unramified principal series of p-adic groups : the Bessel function." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90183.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 99-101).
Let G be a connected reductive group with a split maximal torus defined over a nonarchimedean local field. I evaluate a matrix coefficient of the unramified principal series of G known as the "Bessel function" at torus elements of dominant coweight. I show that the Bessel function shares many properties with the Macdonald spherical function of G, in particular the properties described in Casselman's 1980 evaluation of that function. The analogy I demonstrate between the Bessel and Macdonald spherical functions extends to an analogy between the spherical Whittaker function, evaluated by Casselman and Shalika in 1980, and a previously unstudied matrix coefficient.
by Mario A. DeFranco.
Ph. D.
Poderzay, Regina Carmella. "Principal Series Representations of GL(2) Over Finite Fields." Youngstown State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1527607113143289.
Full textCumberlege, Roy Charles. "The effectiveness of the Joint Building Contracts Committee Series 2000 Principal Building Agreement." Thesis, Nelson Mandela Metropolitan University, 2008. http://hdl.handle.net/10948/768.
Full textZeng, Zhanggui. "Financial Time Series Analysis using Pattern Recognition Methods." University of Sydney, 2008. http://hdl.handle.net/2123/3558.
Full textThis thesis is based on research on financial time series analysis using pattern recognition methods. The first part of this research focuses on univariate time series analysis using different pattern recognition methods. First, probabilities of basic patterns are used to represent the features of a section of time series. This feature can remove noise from the time series by statistical probability. It is experimentally proven that this feature is successful for pattern repeated time series. Second, a multiscale Gaussian gravity as a pattern relationship measurement which can describe the direction of the pattern relationship is introduced to pattern clustering. By searching for the Gaussian-gravity-guided nearest neighbour of each pattern, this clustering method can easily determine the boundaries of the clusters. Third, a method that unsupervised pattern classification can be transformed into multiscale supervised pattern classification by multiscale supervisory time series or multiscale filtered time series is presented. The second part of this research focuses on multivariate time series analysis using pattern recognition. A systematic method is proposed to find the independent variables of a group of share prices by time series clustering, principal component analysis, independent component analysis, and object recognition. The number of dependent variables is reduced and the multivariate time series analysis is simplified by time series clustering and principal component analysis. Independent component analysis aims to find the ideal independent variables of the group of shares. Object recognition is expected to recognize those independent variables which are similar to the independent components. This method provides a new clue to understanding the stock market and to modelling a large time series database.
Zorn, Christian Alexander. "Computing local L-factors for the unramified principal series of Sp₂(F) and its metaplectic cover." College Park, Md. : University of Maryland, 2007. http://hdl.handle.net/1903/6769.
Full textThesis research directed by: Mathematics. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
Schweickart, Ian R. W. "Investigating Post-Earnings-Announcement Drift Using Principal Component Analysis and Association Rule Mining." Scholarship @ Claremont, 2017. https://scholarship.claremont.edu/hmc_theses/94.
Full textPorzio, Lindsay Crump. "Perceptions of the Role of the Principal in the Development, Implementation, and Continuation of a Series Reading Program." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/103176.
Full textDoctor of Education
The purpose of the study was to identify perceptions of selected elementary principals and teachers regarding the role of the principal in the development, implementation, and continuation of an effective series reading program. Through this study, factors contributing to the success or failure of the principal's role in a series reading program were suggested. Principals and teachers were interviewed from elementary schools in Alabama and Nevada. The findings suggest that principals empower and motivate teachers and staff to implement new and continue existing reading programs by modeling it themselves, that principals allocate funding for series reading books to add to the collection of books at the school, and that a principal's literacy background and personal experiences influence a series reading program. Principals and teachers indicated that reading books in a series was beneficial to struggling readers and students new to learning English (L2), and that the series reading program promoted adult-student relationships supportive of increased reading volume. Implications for school leaders and principals are shared as well as suggestions for future research.
Dutilleul, Pierre, and Claudine Till. "Detection of Atypical Years in the Tree-Ring Series by Construction of a Temporal Walk in the Principal Components Planes." Tree-Ring Society, 1989. http://hdl.handle.net/10150/261884.
Full textAntunes, Roberto Luiz dos Santos. "Variação espaço-temporal de NDVI em área de aproveitamento hidroelétrico - UHE Santo Antônio, Porto Velho (RO)." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2012. http://hdl.handle.net/10183/61679.
Full textThis research examines the spatio-temporal variability of NDVI (Normalized Difference vegetation index) in hydroelectric area, in Santo Antônio hpp, Porto Velho, Rondônia. From Landsat TM image, elaborates mapping of use and soil coverage in the following classes: Open Evergreen forest, dense Ombrophilous Forest Fires, deforestation, and soil exposed; Gets a time series of images of NDVIMODIS for the period 2000-2011; generates time spectrum; lists the patterns from the time series of MODIS images with the classes of land cover and use; examines the spatio-temporal variability of NDVI based on time series Analysis, from CP's (main components). The techniques for identifying patterns from time series analysis and temporal Spectra analysis of vegetation indexes are an important tool in the evaluation and monitoring of vegetation change over time. The area of Santo Antonio hydroelectric power plant is characterized by seasonality of rainy and dry periods well defined, which allowed to identify seasonal patterns. The technique of analysis by principal components proved to be a good method to identify the variation of vegetation cover and assess the changes in coverage of the Earth. The analysis of the results of the mapping of land use showed the following: a great difficulty in separating the digital classification process the two classes of forest; extensive areas of exposed soil, deforestation and burning around the Madeira River and in areas near the Santo Antonio hydroelectric power plant. With respect to temporal changes in spectra, NDVI values have two well-defined variations: one related to seasonality of wet and dry periods, and another related to change of use and occupation of the soil, such as the withdrawal of existing vegetation and fire. The results of the main components are related to changes expressed in the first three CP's series as follows: (a) with all images; (b) when only dry and rainy period only; (c) for each year of the series. The CP1 (a) presented a percentage of representativeness of 85.83 NDVI values high and homogeneous for forest cover, indicating significant presence of biomass, since the high values relate to patterns found in vegetation classes. In CP2 and CP3 (a) (b) and (c) the change expressed identified the areas burned and mainly the processing steps of forest areas up to the latest deforestation.
Kidzinski, Lukasz. "Inference for stationary functional time series: dimension reduction and regression." Doctoral thesis, Universite Libre de Bruxelles, 2014. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209226.
Full textL'objectif principal de ce projet de doctorat est d'analyser la dépendance temporelle de l’ADF. Cette dépendance se produit, par exemple, si les données sont constituées à partir d'un processus en temps continu qui a été découpé en segments, les jours par exemple. Nous sommes alors dans le cadre des séries temporelles fonctionnelles.
La première partie de la thèse concerne la régression linéaire fonctionnelle, une extension de la régression multivariée. Nous avons découvert une méthode, basé sur les données, pour choisir la dimension de l’estimateur. Contrairement aux résultats existants, cette méthode n’exige pas d'assomptions invérifiables.
Dans la deuxième partie, on analyse les modèles linéaires fonctionnels dynamiques (MLFD), afin d'étendre les modèles linéaires, déjà reconnu, dans un cadre de la dépendance temporelle. Nous obtenons des estimateurs et des tests statistiques par des méthodes d’analyse harmonique. Nous nous inspirons par des idées de Brillinger qui a étudié ces models dans un contexte d’espaces vectoriels.
Doctorat en Sciences
info:eu-repo/semantics/nonPublished
DeWalt, Heather A. "Evaluating 25 Years of Environmental Change Using a Combined Remote Sensing Earth Trends Modeling Approach: A Northern California Case Study." Ohio University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1320356566.
Full textFatah, Kiar, and Taariq Nazar. "Stock Market Prediction With Deep Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-293853.
Full textAtt förutse aktiekurser är en utmanande uppgift. Detta beror på aktiemarknadens oförutsägbarhet. Därför kommer vi i detta projekt att undersöka prestandan för maskininlärnings algoritmen LSTMs prognosförmåga för aktie priser. Algoritmen baseras endast på historisk numerisk data och tekniska indikatorer for företagen IBM och FORD. Vidare tillämpas brus minskande och dimension reducerande algorithmen, PCA, på aktiedata för att undersöka om prestandan för att förutse aktie priser är bättre än den ursprungliga modellen. En andra metod, transfer learning, tillämpas genom att träna modellen på IBM data och sedan använda den på FORD data, och vice versa, för att utvärdera om resultaten kommer att förbättras. Resultaten visar, när PCA-algoritmen tillämpas på aktiedata separat, och i kombination med transfer learning är prestandan bättre jämfört med bas modellen. Vidare kan vi inte dra slutsatser om transfer learning då prestandan är sämre för FORD med avseende på bas modellen, men bättre för IBM. I hänsyn till resultaten så föreslås det att man tillämpar modellerna för att identifiera vilken som är mest optimal när man arbetar i ett relaterat ämnesområde.
Kandidatexjobb i elektroteknik 2020, KTH, Stockholm
Magidi, James Takawira. "Spatio-temporal dynamics in land use and habit fragmentation in Sandveld, South Africa." Thesis, University of the Western Cape, 2010. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_7886_1297841126.
Full textThis research assessed landuse changes and trends in vegetation cover in the Sandveld, using remote sensing images. Landsat TM satellite images of 1990, 2004 and 2007 were classified using the maximum likelihood classifier into seven landuse classes, namely water, agriculture, fire patches, natural vegetation, wetlands, disturbed veld, and open sands. Change detection using remote sensing algorithms and landscape metrics was performed on these multi-temporal landuse maps using the Land Change Modeller and Patch Analyst respectively. Markov stochastic modelling techniques were used to predict future scenarios in landuse change based on the classified images and their transitional probabilities. MODIS NDVI multi-temporal datasets with a 16day temporal resolution were used to assess seasonal and annual trends in vegetation cover using time series analysis (PCA and time profiling).Results indicated that natural vegetation decreased from 46% to 31% of the total landscape between 1990 and 2007 and these biodiversity losses were attributed to an increasing agriculture footprint. Predicted future scenario based on transitional probabilities revealed a continual loss in natural habitat and increase in the agricultural footprint. Time series analysis results (principal components and temporal profiles) suggested that the landscape has a high degree of overall dynamic change with pronounced inter and intra-annual changes and there was an overall increase in greenness associated with increase in agricultural activity. The study concluded that without future conservation interventions natural habitats would continue to disappear, a condition that will impact heavily on biodiversity and significant waterdependent ecosystems such as wetlands. This has significant implications for the long-term provision of water from ground water reserves and for the overall sustainability of current agricultural practices.
Oliveira, Leticia Celise Ballejo de. "Dinâmica temporal do NDVI de remanescentes das fitofisionomias da Mata Atlântica, Bacia do Rio dos Sinos, RS." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2013. http://hdl.handle.net/10183/87959.
Full textThe present work analyzes, from the temporal variation of NDVI, the behavior of the remaining vegetation phytophysiognomies of the Atlantic Forest, in the basin of the Rio dos Sinos, RS. For this we used a time series of images of the MODIS NDVI, encompassing the period 2000-2011. From these images were generated spectra temporal NDVI for each vegetation type remaining in this basin. Also we used the Principal Component Analysis (PCA) on the set of images. As a result, it was observed by analyzing the time series of NDVI / MODIS a seasonal pattern of vegetation types of the Atlantic. The temporal spectra revealed the seasonality of vegetation influenced primarily by temperature, where in winter the NDVI reached its lowest values, and in summer the higher values. The PCA proved to be an efficient technique to analyze the spatial-temporal variation of NDVI in the basin of the Sinos. However, it was inefficient to distinguish vegetation types present in the basin. Thus, it is concluded that the use of time series in environmental studies involving remote sensing is an important feature in the temporal monitoring of natural resources and the detection of possible changes in their dynamics.
Hauseux, Julien. "Extensions entre séries principales p-adiques et modulo p d'un groupe réductif p-adique déployé." Thesis, Paris 11, 2014. http://www.theses.fr/2014PA112411/document.
Full textThis thesis is a contribution to the study of p-adic (i.e. unitary continuous on p-adic Banach spaces) and mod p (i.e. smooth over a finite field of characteristic p) representations of a split p-adic reductive group G.We determine the extensions between p-adic and mod p principal series of G. In order to do so, we compute Emerton's delta-functor H•OrdB of derived ordinary parts with respect to a Borel subgroup on a principal series using a Bruhat filtration.We also determine the extensions of a principal series by an ordinary representation (i.e. parabolically induced from a special representation of the Levi twisted by a character), as well as the Yoneda extensions of higher length between mod p principal series under a conjecture of Emerton true for GL2.Moreover, we show that there exists no “chain” of three distinct p-adic or mod p principal series of G. In order to do so, we partially compute the delta-functor H•OrdP with respect to any parabolic subgroup on a principal series. Exploiting this result, we prove a conjecture of Breuil and Herzig on the uniqueness of certain p-adic representations of G whose constituents are principal series, as well as its mod p analogue.Finally, we formulate a new conjecture on the extensions between irreducible mod p representations of G parabolically induced from a supersingular representation of the Levi. We prove this conjecture for extensions by a principal series
Nemoto, Takahiro. "Phenomenological structure for large deviation principle in time-series statistics." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/199092.
Full textHu, Wenbiao. "Applications of Spatio-temporal Analytical Methods in Surveillance of Ross River Virus Disease." Queensland University of Technology, 2005. http://eprints.qut.edu.au/16109/.
Full textCastro, Maria Cristina Felippetto de. "Predição não-linear de series temporais usando redes neurais RBF por decomposição em componentes principais." [s.n.], 2001. http://repositorio.unicamp.br/jspui/handle/REPOSIP/260700.
Full textTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação
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Resumo: Esta tese apresenta uma nova técnica de predição não-linear de séries temporais através de redes neurais artificiais do tipo Radial Basis Function, com atribuição dos centros Gaussianos das funções de base radial por decomposição do espaço de dados em sub-espaços. A decomposição em sub-espaços - ou decomposição em componentes principais - é baseada na Transformada Karhunen-Loeve. A predição obtida através da parametrização da rede neural via decomposição em sub-espaços resulta em um menor erro de predição e requer o conhecimento de um menor número de amostras prévias do que as técnicas de predição convencionais. Adicionalmente é apresentada uma possível solução para o problema de adaptar dinamicamente a arquitetura da rede neural às nãoestacionariedades presentes em muitas séries temporais
Abstract: This thesis proposes a new technique for non-linear time series forecasting based upon Radial Basis Function Neural Networks and the Karhunen-Loeve Transform. A significant performance improvement is obtained with the novel technique in comparison with usual prediction methods. By obtaining the neural network centers from the data set sub-spaces - or data set principal components - the new method yields lower prediction error and requires less previous known samples than the usual technique that applies the own training set vectors to the centers. Additionally we present a possible solution to the problem of dynamically adapting the neural network architecture to the time-varying series statistics
Doutorado
Doutor em Engenharia Elétrica
Tourasse, Guillaume. "Mesure et Analyse Statistique Tout Temps du Spectre du Rayonnement Solaire." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSET014/document.
Full textThis manuscript presents the design and setup of an all-weather spectral irradiance measurement system on 4 planes. The 4 spectrometers measure a total of 900 spectra/min to produce every minute, a mean spectral irradiance and its standard deviation. Between 2014 and 2015, this system recorded 700,000 spectra, for wavelengths ranging between 400 and 1,000 nm with a step ≤1 nm. A sample of 145,000 spectra representative of the Lyon climate was selected for statistical analysis. For this purpose, the sample was reduced in size by partitioning it in 1,175 spectra. Its spectral domain was extended to 280-1,500 nm by extrapolating the spectra with curve fitting using the SMARTS2 RTM. A PCA of the extrapolated sample reduced its description to only 3 components; hence, allowing a revision of the CIE’s illuminant D series. Finally, the relation between spectral power distribution and environmental or colorimetric parameters opens a way towards statistical models for generating solar spectra
Ribbing, Marie, and Petra Mattisson. "Lärarrollen spelar roll! : En analys av Sveriges främsta lärare i TV-serien Klass 9A." Thesis, Kristianstad University College, School of Teacher Education, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-5755.
Full textUppsatsens syfte är att analysera vilken bild TV-serien
Klass 9A visar av den professionella pedagogen i jämförelse med vad pedagogisk forskning framför om den samma. I det moderna samhället spelar massmedia en stor roll för den enskilda individen. Media anses spegla samhällets gemensamma värderingar, attityder och normer. TV som media kan därför komma att påverka hur människor uppfattar den professionella pedagogen som visas upp i TV-serien Klass 9A. Uppsatsens teoretiska kapitel baseras utifrån två kriterier som beskriver läraryrkets professionalitet. Kriterierna som ligger till grund för denna uppsats är en specifik kunskapsgrund för yrket samt en nedtecknad yrkesetik. Forskningsrön som presenteras i uppsatsen uttrycker hur läraren på ett professionellt sätt skall kunna motivera elever till fortsatt lärande samt hur lärares förväntningar spelar en avgörande roll för hur elever skall lyckas uppnå goda resultat i skolan. Undersökningen har genomförts med hjälp av modifierad didaktisk etnografisk metod och en kvalitativ analys. Analysen har baserats på ett urval av avsnitt ur TV-serien som fokuserar på pedagogernas förhållningssätt gentemot eleverna. Resultatet visar att TV-seriens pedagoger uppvisar likheter och motstridigheter med vad pedagogisk forskning framför som eftersträvansvärt när det gäller att motivera elever till fortsatt lärande. Det vill säga pedagogerna uppvisar inte alltid vad som beskrivs som en specifik kunskapsgrund för yrket. Resultatet visar även att TV-seriens pedagoger i några avsnitt inte uppfyller de yrkesetiska principer som finns nedtecknade för läraryrket. Ämnesord
Villafani, Luyo Humberto Crossi. "Principales determinantes de la inversión exploratoria en el sector hidrocarburos peruano : un análisis de series de tiempo." Master's thesis, Pontificia Universidad Católica del Perú, 2018. http://hdl.handle.net/20.500.12404/14636.
Full textTesis
Szczepanski, Peter. "Flouting the maxims in scripted speech : An analysis of flouting the maxims of conversation in the television series Firefly." Thesis, Karlstads universitet, Institutionen för språk, litteratur och interkultur, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-38455.
Full textLosito, Sonia Maria. "O sistema de numeração decimal e o principio multiplicativo : um estudo na 4a. serie do 1o. grau." [s.n.], 1996. http://repositorio.unicamp.br/jspui/handle/REPOSIP/252534.
Full textDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Educação
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Resumo: O presente trabalho teve por objetivo analisar o processo da construção do conceito de número e o campo conceitual do Sistema de Numeração Decimal, investigando o desempenho de alunos de 48 série do 10 grau, na solução de tarefas matemáticas. Foram investigados os procedimentos de alunos de uma escola com proposta de ensino construtivista, fundamentada na teoria de Piaget e de outros estudiosos e pesquisadores cognitivistas e os procedimentos de alunos de outra escola, não envolvidos nesta proposta de ensino. Investigou-se a construção do número, reconhecimento do valor posicional, os processos mentais de contagem, a operatoriedade matemática, a utilização do princípio multiplicativo do sistema de numeração decimal e a tomada de consciência do erro. Os dados coletados mostraram que os resultados de alunos de uma escola e de outra não apresentaram diferença em relação às regularidades do sistema de numeração decimal, bem como em relação ao aspecto operatório aditivo. Foram constatados melhores resultados em relação à construção do senso numérico, da operatoriedade multiplicativa, do princípio multiplicativo do sistema de numeração decimal e da tomada de consciência do erro, nos sujeitos da escola de orientação construtivista
Resumo: The objetive of the research presented here was to analyse the construction process of the concept of number and the conceptual field of the decimal numeration system, investigating the performance of the fourth grade students (primary school) concerning the soluction of mathematics tasks. Kinds of procedure were investigated: the procedure of the students of a school that works with the construtive teaching approach, based on the Piaget theory and other cognitivists scholars and researchers, and the procedures of the students of another school not involved in the same teaching proposal. It was investigated the constrution of number, the mental process of counting, the recognition of the posicional value, the mathematics operatoriety, the usage of the multiplicative principie of the decimal numeration system and the recognition of mistakes. The collected data shows that the results presented by the students of both schools are same concerning the regularities of the decimal numeration system, as well as the additive operatory aspects. Better results have been observed concerning the building up of the decimal numeration system and the recognition of mistakes, by the students of the school utilizing the constructive teaching approach
Mestrado
Psicologia Educacional
Mestre em Educação
Milo, Lavinia Cloe. "La traduzione di canzoni per il doppiaggio di serie animate: Phineas e Ferb." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21307/.
Full textLima, Horacio Enrique Sosa Paes de. "Principio e implementação de um conversor CC-CA com estagio serie-ressonante modulado por deslocamento de fase em alta frequencia." reponame:Repositório Institucional da UFSC, 1990. https://repositorio.ufsc.br/handle/123456789/111485.
Full textGrener, Doreen Elaine. "A Content Analysis of Elementary Science Textbook Series From 1930 Through 1990 for The Presentation of The Principle of Humans as a Component of The Ecosystem /." The Ohio State University, 1996. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487933648650631.
Full textLe, Bail Karine. "Etude statistique de la stabilité des stations de géodésie spatiale. Application à DORIS." Phd thesis, Observatoire de Paris, 2004. http://tel.archives-ouvertes.fr/tel-00011406.
Full textZvirtek, Yana. "L'equazione del calore." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/19246/.
Full textSilva, Vagner Rebouças da. "Trompa grave e trompa aguda: um estudo da tessitura da trompa com base nos principais modelos que foram referência para as composições orquestrais." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/27/27158/tde-07032013-110454/.
Full textThis research aims to analyze the range and writing for horn by observing three models that were used brilliantly by composers, who managed, despite the limitations of each model, create the conditions for the primitive hunting horn of ancient times to the level of a solo as well as an orchestral instrument. We will observe that the modern horn is well capacitated to perform Baroque and Classical repertoire, a period in which the compositions contemplated the use of the hunting horn and natural horn. We believe that a vision about the features of each period of the horn\'s development brings to light a proper execution with the modern instrument. Ever since the classical period, because of its extensive range, the horn was divided into two genres: high horn and low horn. After the invention of the valve horn in the second half of the 19th century, the compositions demanded of this new instrument the same ability as of its natural horn predecessor throughout its extensive range. We may note that with the newer 19th century valve horn, the perpetuation of the high and low horn tradition was maintained as may be observed in its extensive high and low range in solo passages, requiring the expertise of both high and low horn players of the time.
Kobi, Abdessamad. "Diagnostic de processus continus : application à la détection de valeurs aberrantes dans les signaux d'entrée et de sortie de systèmes." Vandoeuvre-les-Nancy, INPL, 1994. http://www.theses.fr/1994INPL070N.
Full textUhlíř, Luděk. "PDA software pro robotický fotbal." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217455.
Full textDi, Giovanni Ferdinando. "Progettazione e sviluppo di un software per la simulazione dinamica della redazione del Master Production Schedule." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.
Find full textLundström, Christian. "On the returns of trend-following trading strategies." Licentiate thesis, Umeå universitet, Nationalekonomi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-132914.
Full textGarcía, Martínez María del Carmen. "La adopción de tecnología en los invernaderos hortícolas mediterráneos." Doctoral thesis, Universitat Politècnica de València, 2009. http://hdl.handle.net/10251/6472.
Full textGarcía Martínez, MDC. (2009). La adopción de tecnología en los invernaderos hortícolas mediterráneos [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/6472
Palancia
Haykal, Vanessa. "Modélisation des séries temporelles par apprentissage profond." Thesis, Tours, 2019. http://www.theses.fr/2019TOUR4019.
Full textTime series prediction is a problem that has been addressed for many years. In this thesis, we have been interested in methods resulting from deep learning. It is well known that if the relationships between the data are temporal, it is difficult to analyze and predict accurately due to non-linear trends and the existence of noise specifically in the financial and electrical series. From this context, we propose a new hybrid noise reduction architecture that models the recursive error series to improve predictions. The learning process fusessimultaneouslyaconvolutionalneuralnetwork(CNN)andarecurrentlongshort-term memory network (LSTM). This model is distinguished by its ability to capture globally a variety of hybrid properties, where it is able to extract local signal features, to learn long-term and non-linear dependencies, and to have a high noise resistance. The second contribution concerns the limitations of the global approaches because of the dynamic switching regimes in the signal. We present a local unsupervised modification with our previous architecture in order to adjust the results by adapting the Hidden Markov Model (HMM). Finally, we were also interested in multi-resolution techniques to improve the performance of the convolutional layers, notably by using the variational mode decomposition method (VMD)
Bitseki, Penda Siméon Valère. "Inégalités de déviations, principe de déviations modérées et théorèmes limites pour des processus indexés par un arbre binaire et pour des modèles markoviens." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2012. http://tel.archives-ouvertes.fr/tel-00822136.
Full textProïa, Frédéric. "Autocorrélation et stationnarité dans le processus autorégressif." Phd thesis, Université Sciences et Technologies - Bordeaux I, 2013. http://tel.archives-ouvertes.fr/tel-00903542.
Full textCekl, Jakub. "Model palivového souboru tlakovodního reaktoru západní koncepce." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-376896.
Full textSalgado, José Miguel Rodrigues Teixeira. "Principal and Independent Component Analysis in Financial Time Series." Tese, 2014. https://repositorio-aberto.up.pt/handle/10216/76942.
Full textSalgado, José Miguel Rodrigues Teixeira. "Principal and Independent Component Analysis in Financial Time Series." Doctoral thesis, 2014. https://repositorio-aberto.up.pt/handle/10216/76942.
Full textLiu, Pao-Wen Grace. "Forecast ozone levels using a time series model plus principal component triggers." 2000. http://www.library.wisc.edu/databases/connect/dissertations.html.
Full textHeaton, Chris Economics Australian School of Business UNSW. "Factor analysis of high dimensional time series." 2008. http://handle.unsw.edu.au/1959.4/40946.
Full textRoussakov, Maxime. "Financial time series analysis with competitive neural networks." Thèse, 2017. http://hdl.handle.net/1866/20210.
Full textChen, Chen Shu, and 陳淑貞. "THe Application of Principal Component Analysis Model of Multivariate Time Series on the Prediction of the Number of Tourists Visiting Taiwan." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/00655505384416552732.
Full textWallace, JACK. "EVALUATING THE PERFORMANCE AND WATER CHEMISTRY DYNAMICS OF PASSIVE SYSTEMS TREATING MUNICIPAL WASTEWATER AND LANDFILL LEACHATE." Thesis, 2013. http://hdl.handle.net/1974/8440.
Full textThesis (Master, Civil Engineering) -- Queen's University, 2013-10-27 05:29:20.564
Huang, Cheng-Chih, and 黃呈智. "Wave Principle based Fuzzy Bi-Time series Model for TAIEX Forecasting." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/82123434920184156656.
Full text國立雲林科技大學
資訊管理系碩士班
95
In stock markets, investors forecast the future price trend based on open data such as past trading data, market news and financial reports. What they care about most is to make accurate predictions to bring profit for them. Therefore, they are absorbed in lifting forecasting accuracy for stock markets. Fuzzy time-series models have been utilized to forecast the number of enrollment, the height of temperature and stock price patterns since they are first induced by Song and Chissom in 1993. However, from literature, there are two major drawbacks of traditional methods such as the lack of consideration in determining reasonable universe of discourse and the length of intervals. Besides, it is clear to see that the past researchers lacked stock technical analysis theories for supporting their models. Hence, we provide the Elliot’s Wave Principle as the theory base for our forecast model. Furthermore, we consider the relation between price and volume in the proposed model to forecast stock price because it is usually ignored in past researchers. Therefore, we survey the technical indicators of volume and choose the volume ratio, VR, to modify the forecasting values. In order to solve these problems above, an objective and reasonable approach is then proposed. Traditional forecasting models forecast stock price based on singular price indicator, lacking other factors such as volume indicators, so it is not thoughtful enough to forecast stock price. We propose a wave principle based fuzzy bi-time series model to improve the forecast accuracy, and apply three parameters, alpha, beta and gamma, to refine our forecast model. And set some criteria in order to make trading possible. Using the TAIEX (Taiwan stock index) and NASDAQ (a worldwide famous high-tech industries integrated index in America) as the forecasting datasets, the empirical results show that the proposed model outperforms other conventional models.
Tsai, Hung-mao, and 蔡宏懋. "Investigate to Learn Arithmetic Sequence and Arithmetic Series by Principle of Mathematical Induction." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/44893874299323734879.
Full text國立臺南大學
應用數學系碩士班
102
The purpose of the study aims to investigate the eighth graders, learning effects, learning retention and the process, of learning arithmetic sequence and arithmetic series by the principle of mathematical induction. This study applies experimental teaching approach. The teaching objects are 30 eighth graders in the junior high school where the researcher teaches. The research tool is based on a math problem solving test which the researcher edits. The data of post-test, post-pone test and after-school learning sheet are used to study the objects' learning effects, retention concepts and problem solving processes. The study findings are as follows. 1. The average grade of post-test are 67.07 in the experimental class and 58.69 in the control class, respectively. The learning effects of the experimental class is superior to the control class. 2. The average grade of post-pone test is 71.17 in the experimental class, which is superior than that of post-test. So that the learning retention is efficient. 3. Most of students can infer the answers of math problems by the principle of mathematical induction.
Yu, Chia-hsiang, and 尤家祥. "Missing information principle of the use-rate accelerated test for a series system under type-I censoring." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/9x9984.
Full text國立中央大學
統計研究所
101
In traditional reliability life test, usually the data are the failure (censored) times of the test units. However, most of the analyses do not consider the variabilities in the real life, such as the use-rate, load, temperature, humidity, etc. With new technology, we can install sensors or smart chips in many products so that the variabilities of the above characteristics can be collected. In this thesis, we consider the life test of multi-components series systems, when the cycles-to-failure and use-rate information are available for those systems with censors (chips). On the other hand, only the times-to-failure can be collected from the systems without censors (chips). EM-algorithm is employed to obtain the MLEs along with their estimated standard errors computed based on the observed information matrix via the missing information principle. It turns out that the proposed method not only provides accurate results but also saves much computing time than the existing method.