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Markert, Erik, Hailu Wang, Göran Herrmann, and Ulrich Heinkel. "Kostenmodellierung mit SystemC/System-AMS." Universitätsbibliothek Chemnitz, 2007. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200700902.
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In diesem Beitrag wird eine Methode zur Beschreibung von Kostenfaktoren und deren Verknüpfung
über Hierarchiegrenzen hinweg dargestellt. Sie eignet sich sowohl für rein digitale Systeme mit Softwareanteilen
als auch für gemischt analog/digitale Systeme. Damit ist sie im Hardware-Software Codesign
und im Analog-Digital Codesign zum Vergleich verschiedener Systemkompositionen anwendbar.
Die Implementierung mit C++ ermöglicht neben einer Nutzung mit digitalem SystemC auch den Einsatz
mit der analogen SystemC-Erweiterung SystemC-AMS und vereinfacht die Nutzung gegenüber
einer vorhandenen VHDL-Implementierung. Als Anwendungsbeispiel fungieren Komponenten eines
Systems zur Inertialnavigation.
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Schlegel, Michael. "Mixed-Level-Simulation heterogener Systeme mit VHDL-AMS durch Multi-Architecture-Modellierung." Doctoral thesis, Universitätsbibliothek Chemnitz, 2005. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200501903.
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Die Simulation heterogener Systeme auf hoher
Abstraktionsebene gewinnt auf Grund der
zunehmenden Komplexität technischer Systeme
stetig an Bedeutung. Unter heterogenen Systemen
versteht man technische Systeme, die aus analoger
und digitaler Elektronik, aus Komponenten
verschiedener physikalischer Domänen wie
mechanischen Strukturen, thermischen und
optischen Komponenten sowie aus Software
bestehen können. Genügte es bisher, die
einzelnen Komponenten für sich in ihrer eigenen
Domäne mit einem speziellen Simulator zu
simulieren, so ist es heute unerläßlich, auch
die Interaktionen zwischen den Komponenten zu
erfassen. Um solche Systeme mit einer
einheitlichen Beschreibungsform erfassen zu
können, entstand aus der digitalen
Hardwarebeschreibungssprache VHDL die
Systembeschreibungssprache VHDL-AMS.
Bei der Modellierung eines Systems muß das
tatsächliche Verhalten der Komponenten
abstrahiert werden, um mathematisch erfaßbar
und in begrenzter Zeit simulierbar zu sein. Der
Grad der Abstraktion beeinflußt jedoch die
Genauigkeit der Simulationsergebnisse wesentlich.
Dabei muß bzw. kann das Verhalten in
unterschiedlichen Komponenten unterschiedlich
stark abstrahiert werden, um noch akzeptable
Simulationsgenauigkeiten erzielen zu können.
VHDL-AMS erlaubt die Beschreibung von Komponenten
auf unterschiedlichen Abstraktionsniveaus. Man
kann die unterschiedlich abstrakten Modelle der
Komponenten aber nur schwer in einer
Systemsimulation gemeinsam simulieren, da
unterschiedlich abstrakte Modelle auch
unterschiedlich abstrakte Schnittstellen
aufweisen, so daß die Modelle nur mühsam
miteinander verbunden werden können. Ein
Austausch eines abstrakten Modells einer
Komponente gegen ein weniger abstraktes Modell
oder umgekehrt ist mit vielen fehleranfälligen
und zeitaufwendigen Anpassungsschritten verbunden.
Im Rahmen dieser Arbeit wird ein methodischer
Ansatz vorgestellt, der es auf der Basis einer
Vereinheitlichung der Modellschnittstellen
ermöglicht, unterschiedlich abstrakte Modelle
gemeinsam zu simulieren und einzelne Modelle
gegen abstraktere oder weniger abstrakte Modelle
ohne nennenswerten Zeit- und Modellierungsaufwand
auszutauschen. Es werden die zu verwendenden
Interfaceobjekte und Datentypen für digitale,
analoge elektrische und nichtelektrische
Schnittstellen unter VHDL-AMS und SystemC-AMS
vorgestellt. Ebenso werden Methoden vorgestellt,
die digitales, ereignisdiskretes Verhalten auf
konservative elektrische Schnittstellen bzw.
nichtkonservatives analoges Verhalten auf
digitale Schnittstellen abbilden. Weiterhin wird
erläutert, wie sich digitale Protokolle über
Abstraktionsebenen hinweg übertragen lassen und
ein modifizierter Top-Down Design-Flow
vorgestellt. Die Demonstration der Anwendbarkeit
der Methode erfolgt anhand eines Beispiels.
3
Markert, Erik. "High-Level-Entwurf von Mikrosystemen." Doctoral thesis, Universitätsverlag der Technischen Universität Chemnitz, 2009. https://monarch.qucosa.de/id/qucosa%3A18216.
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Die Dissertationsschrift stellt eine Toolkette zum abstrakten Entwurf von Mikrosystemen vor. Mikrosysteme können aus Elementen verschiedener physikalischer Domänen bestehen und zusätzlich digitale Hardware sowie Software enthalten. Die Erfassung und Formalisierung dieser heterogenen Systeme stellt den ersten Schritt im Entwurfsprozess dar, die damit verbundene neue Methodik des Designs von Mikrosystemen bildet den Kern der vorliegenden Arbeit.
Zur Erfassung der analogen Spezifikationsteile enthält die Arbeit die Schilderung und Implementierung neuer Datenstrukturen, die ausgehend von einer ausführlichen Anforderungsanalyse geschaffen wurden. Das abstrakte Systemverhalten wird mit Hilfe hybrider Automaten modelliert, die sowohl mit speziellen hybriden Werkzeugen als auch mit SystemC-AMS simulierbar sind. Darüber hinaus beschäftigt sich die Arbeit mit der Erfassung von Signalverläufen und Schaltplaninformationen. Die formalisierten Anforderungen ermöglichen erste Prüfungen der Spezifikation auf Konsistenz.
Zur Unterstützung niedriger Abstraktionsebenen wie der Differentialgleichungsebene steht ein Wandler von SystemC-AMS nach VHDL-AMS bereit. In die Systembeschreibung mit SystemC-AMS ist die Definition und Verknüpfung von Kostenparametern integrierbar. Das daraus entstehende globale Gütemaß hilft dem Entwerferteam, die optimale Systemrealisierung zu finden.<br>The PhD thesis proposes a toolflow for the design of microsystems on higher abstraction levels. Microsystems may consist of components using effects in different physical domains plus additional digital hardware and software. The collection and formalization of these heterogeneous systems is a first step in the design process, the associated design method ist the key point of this work.
The system behavior is modeled using hybrid automata, which are checkable using hybrid modelcheckers and simulable using SystemC-AMS. Furthermore the work deals with signal forms and circuit parameters. To support modeling on lower abstraction levels like differential algebraic equations a syntax conversion from SystemC-AMS to VHDL-AMS was included. The integration of cost factors into SystemC-AMS allows design space exploration during system simulation.
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Rostagni, Florent. "Classification morphologique d'un échantillon optique d'amas de galaxies." Thesis, Nice, 2014. http://www.theses.fr/2014NICE4055/document.
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Les amas de galaxies sont l'une des sondes cosmologiques permettant de contraindre les modèles d'univers, via leur fonction de masse et leur vitesse de croissance, elles-mêmes mesurées par l'état dynamique des amas. Les grands relevés présents et futurs permettent d'avoir accès à une information plus nombreuse et plus complète sur les amas de galaxies et donc d'utiliser de nouvelles méthodes de détermination de leur état dynamique. Dans cette thèse, une nouvelle méthode de caractérisation morphologique 2+1D des amas a été développée afin d'établir une nouvelle classification des amas. Il s'agit d'une méthode optique basée sur la position et la vitesse radiale des galaxies. Les structures dans la zone d'influence des amas sont détectées et caractérisées en projection et dans l'espace des vitesses radiales à l'aide d'une analyse en ondelettes. À partir du nombre de structures, les amas sont classés en amas unimodal, bimodal ou multimodal. L'ellipticité de leur distribution projetée et la gaussianité de la distribution des vitesses radiales sont également utilisées pour raffiner la classification. La méthode de caractérisation et de classification morphologique a été appliquée à un sous-échantillon de 403 amas issus du catalogue C4 en utilisant les données du SDSS. Il en est ressorti que 25% des amas sont unimodaux, 33% sont bimodaux et 42% sont multimodaux. Une analyse de la stabilité de la classification a également été réalisée ainsi qu'une comparaison avec les résultats de la littérature, que ce soit d'un point de vue statistique ou au niveau des amas individuels<br>Clusters of galaxies are one of the main cosmological probes used to constrain the cosmological parameters, through their mass function and their growth rate. The measure of these two quantities require the determination of the dynamical state of clusters. The present and future large and deep sky surveys give access to a more complete information on clusters and legitimate the development of new methods of determination of their dynamical state. In this thesis, a new method of characterization of the cluster morphology has been developed. It is a 2+1D method using galaxies and it enables to develop a new morphological classification of clusters. Structures around clusters are detected and characterized in projection and along the line of sight using a wavelet analysis. The new classification consists in counting the number of structures in the vicinity of clusters, three clusters classes were defined : unimodal, bimodal and multimodal. The ellipticity and the Gaussianity of the distribution of radial velocities are also used to refine the classification. The method was applied to a subsample of 403 clusters from the C4cluster catalogue using data from the SDSS. The results are : 25% of the clusters are unimodals, 33% are bimodals and 42% are multimodals. The stability of the classification with respect to the different parameters used was also performed as well as a comparison with the results from other studies in the literature
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Åberg, Ludvig. "Multimodal Classification of Second-Hand E-Commerce Ads." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233324.
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In second-hand e-commerce, categorization of new products is typically done by the seller. Automating this process makes it easier to upload ads and could lower the number of incorrectly categorized ads. Automatic ad categorization also makes it possible for a second-hand e-commerce platform to use a more detailed category system, which could make the shopping experience better for potential buyers. Product ad categorization is typically addressed as a text classification problem as most metadata associated with products are textual. By including image information, i.e. using a multimodal approach, better performance can however be expected. The work done in this thesis evaluates different multimodal deep learning models for the task of ad categorization on data from Blocket.se. We examine late fusion models, where the modalities are combined at decision level, and early fusion models, where the modalities are combined at feature level. We also introduce our own approach Text Based Visual Attention (TBVA), which extends the image CNN Inception v3 with an attention mechanism to incorporate textual information. For all models evaluated, the text classifier fastText is used to process text data and the Inception v3 network to process image data. Our results show that the late fusion models perform best in our setting. We conclude that these models generally learn which of the baseline models to ’trust’, while early fusion and the TBVA models learn more abstract concepts. As future work, we would like to examine how the TBVA models perform on other tasks, such as ad similarity.<br>Produkter som läggs ut på marknadsplatser, såsom Blocket.se, kategoriseras oftast av säljaren själv. Att automatisera processen för kategorisering gör det därför både enklare och snabbare att lägga upp annonser och kan minska antalet produkter med felaktig kategori. Automatisk kategorisering gör det ocksåmöjligt för marknadsplatsen att använda ett mer detaljerat kategorisystem, vilket skulle kunna effektivisera sökandet efter produkter för potentiella köpare.Produktkategorisering adresseras ofta som ett klassificeringsproblem för text, eftersom den största delen av produktinformationen finns i skriftlig form. Genom att också inkludera produktbilder kan vi dock förvänta oss bättre resultat.I den här uppsatsen evalueras olika metoder för att använda både bild och text för annonsklassificering av data från blocket.se. I synnerhetundersökslate fusion modeller, där informationen från modaliteterna kombineras i samband med klassificeringen, samt early fusion modeller, där modaliteterna istället kombineras på en abstrakt nivå innan klassificeringen. Vi introduserar också vår egen modell Text Based Visual Attention (TBVA), en utvidgning av bildklassificeraren Inception v3 [1], som använder en attention mekanism för att inkorporera textinformation. För alla modeller som beskrivs i denna uppsats används textklassificeraren fast Text[2] för att processa text och bildklassificeraren Inception v3 för att processa bild. Våra resultat visar att late fusion modeller presterar bäst med vår data. I slutsatsen konstateras att late fusion modellerna lär sig vilka fall den ska 'lita' på text eller bild informationen, där early fusion och TBVA modellerna istället lär sig mer abstrakta koncept. Som framtida arbete tror vi det skulle vara av värde att undersöka hur TBVA modellerna presterar på andra uppgifter, såsom att bedöma likheter mellan annonser.
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Mendoza, Ivan. "Robustness in risk classification." Thesis, Connect to online version, 2008. http://proquest.umi.com/pqdweb?did=1675128161&sid=1&Fmt=2&clientId=10306&RQT=309&VName=PQD.
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Wood, Nicholas Linder. "A Novel Kernel-Based Classification Method using the Pythagorean Theorem." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1462522255.
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Liang, Fang. "Hyperplane-based classification techniques." Connect to online resource, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3284447.
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Cai, Lijuan. "Multilabel classification over category taxonomies." View abstract/electronic edition; access limited to Brown University users, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3318298.
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GOMES, FELIPE REIS. "PRODUCT OFFERING CLASSIFICATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2012. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=22577@1.
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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>Este trabalho apresenta o EasyLearn, um framework para apoiar o desenvolvimento de aplicações voltadas ao aprendizado supervisionado. O EasyLearn define uma camada intermediaria, de simples configuração e entendimento, entre a aplicação e o WEKA, um framework de aprendizado de máquina criado pela Universidade de Waikato. Todos os classificadores e filtros implementados pelo WEKA podem ser facilmente encapsulados para serem utilizados pelo EasyLearn. O EasyLearn recebe como entrada um conjunto de arquivos de configuração no formato XML contendo a definição do fluxo de processamento a ser executado, além da fonte de dados a ser processada, independente do formato. Sua saída é adaptável e pode ser configurada para produzir, por exemplo, relatórios de acurácia da classificação, a própria da fonte de dados classificada, ou o modelo de classificação já treinado. A arquitetura do EasyLearn foi definida após a análise detalhada dos processos de classificação, permitindo identificar inúmeras atividades em comum entre os três processos estudados aprendizado, avaliação e classificação). Através desta percepção e tomando as linguagens orientadas a objetos como inspiração, foi criado um framework capaz de comportar os processos de classificação e suas possíveis variações, além de permitir o reaproveitamento das configurações, através da implementação de herança e polimorfismo para os seus arquivos de configuração. A dissertação ilustra o uso do framework criado através de um estudo de caso completo sobre classificação de produtos do comércio eletrônico, incluindo a criação do corpus, engenharia de atributos e análise dos resultados obtidos.<br>This dissertation presents EasyLearn, a framework to support the development of supervised learning applications. EasyLearn dfines an intermediate layer, which is easy to configure and understand, between the application and WEKA, a machine learning framework created by the University of Waikato. All classifiers and filters implemented by WEKA can be easily encapsulated to be used by EasyLearn. EasyLearn receives as input a set of configuration files in XML format containing the definition of the processing flow to be executed, in addition to the data source to be classified, regardless of format. Its output is customizable and can be configured to produce classification accuracy reports, the classified data source, or the trained classification model. The architecture of EasyLearn was defined after a detailed analysis of the classification process, which identified a set of common activities among the three analyzed processes (learning, evaluation and classification). Through this insight and taking the object-oriented languages as inspiration, a framework was created which is able to support the classification processes and its variations, and which also allows reusing settings by implementing inheritance and polymorphism in their configuration files. This dissertation also illustrates the use of the created framework presenting a full case study about e-commerce product classification, including corpus creation, attribute engineering and result analysis.
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Ozgencil, Necati Ercan. "Cluster based classification for semantic role labeling." Related electronic resource:, 2007. http://proquest.umi.com/pqdweb?did=1342747481&sid=3&Fmt=2&clientId=3739&RQT=309&VName=PQD.
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Hyun, Jung Kim. "Classification in thoracic computed tomography image data." Diss., Restricted to subscribing institutions, 2007. http://proquest.umi.com/pqdweb?did=1383469071&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.
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Holden, Jocelyn E. "The effects of misclassified training data on the classification accuracy of supervised and unsupervised classification techniques." [Bloomington, Ind.] : Indiana University, 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3358919.
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Thesis (Ph.D.)--Indiana University, School of Education, 2009.<br>Title from PDF t.p. (viewed on Feb. 8, 2010). Source: Dissertation Abstracts International, Volume: 70-05, Section: A, page: 1636. Adviser: Ginette Delandshere.
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Hong, Seung-Moon. "Classification and applications of tensor categories." [Bloomington, Ind.] : Indiana University, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3331259.
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Thesis (Ph.D.)--Indiana University, Dept. of Mathematics, 2008.<br>Title from PDF t.p. (viewed on Jul 27, 2009). Source: Dissertation Abstracts International, Volume: 69-11, Section: B, page: 6841. Advisers: Zhenghan Wang; Vladimir Touraev.
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Radhakrishna, Pradeep Narayan P. "Manifold based multistage music genre classification." Connect to online resource, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1460871.
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Radtke, Paulo Vinicius Wolski. "Classification systems optimization with multi-objective evolutionary algorithms." Thèse, Montréal : École de technologie supérieure, 2006. http://proquest.umi.com/pqdweb?did=1251872111&sid=5&Fmt=2&clientId=46962&RQT=309&VName=PQD.
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Thèse (Ph.D.)-- École de technologie supérieure, Montréal, 2006.<br>"A thesis presented to the École de technologie supérieure in fullfilment of the thesis requirement for the degree of philosophiae doctor in engineering". CaQMUQET Bibliogr.: f. [163]-173. Également disponible en version électronique. CaQMUQET
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Yeow, Hoe Chian. "Soil classification through dynamic soil signatures." Thesis, University of Aberdeen, 1990. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU031990.
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The demand for a cost effective site investigation method has resulted in the introduction of various advanced in-situ testing techniques. These techniques utilise modern electronics instrumentation to monitor various soil parameters during site investigation. The data is then processed using high speed, low cost digital computers which allow an accurate and rapid assessment of the conditions of the foundation soil under a proposed construction site. In this thesis, a site investigation tool that drives a coring tube into the ground under a combination of vibration and impact is considered. This machine, called a vibro-impact corer, is fully instrumented to provide penetrometer-type information and a core sample for further inspection in the laboratory. The self-adjusting mechanism inherent in this machine delivers the minimum level of energy required to overcome soil resistance which thereby allows continuous penetration of the coring tube. This mechanism is also results in minimal induced disturbance during the coring process. This thesis investigates use of the vibro-impact corer as a soil classification tool. It involves the design of data analysis software to perform the soil classification procedure. Due to the nature of the system, the resistance monitored through the annular load cell fitted at the tip of the coring tube consists of the dynamic end resistance waveform and the peak magnitude of these waveforms over a sampling period. The vibro-impact soil classification system is based on the distinct self-adjusting mechanism of the machine. The self-adjustment mechanism imparts a different level of impact and vibration as soil conditions change which produces distinct dynamic soil resistance waveforms. In addition, the penetration rate and the magnitude of the soil resistance encountered also varies according to the material being penetrated. These two features are used to form the basis of the soil classification system in this software. The software also includes options for empirical correlation of the results obtained from the vibro-impact penetrometer with the CPT and SPT tests to allow comparison. The vibro-impact soil classification software is designed to be user-friendly. It reads the data files from a Biodata Transient Capture System for the classification process. The output devices such as plotter and printer are used to produce hardcopy records for various data. All the options are menu driven. A two degree freedom simulation of the operational responses of the vibro-impact machine is also included in this thesis. The main objective of this simulation is to study the soil response during vibro-impact mode of driving. This allows a comparison of the simulation soil responses to the model test results to provide an understanding of the soil behaviour under a combination of both vibratory and impact loadings. This thesis presents the results of several laboratory model and full scale vibro-impact penetrometer tests. It concentrates on the main subject of soil classification during the discussions although in some occasions the operational mechanism of the machine is mentioned. The results justify the approaches adopted for the soil classification system using a vibro-impact machine.
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Ding, Yuanyuan. "Handling complex, high dimensional data for classification and clustering /." Full text available from ProQuest UM Digital Dissertations, 2007. http://0-proquest.umi.com.umiss.lib.olemiss.edu/pqdweb?index=0&did=1400971141&SrchMode=2&sid=1&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1219343482&clientId=22256.
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Sun, Yang. "Intelligent wireless sensor network based vehicle detection and classification /." Full text available from ProQuest UM Digital Dissertations, 2007. http://0-proquest.umi.com.umiss.lib.olemiss.edu/pqdweb?index=1&did=1414125751&SrchMode=1&sid=3&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1219779610&clientId=22256.
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Middell, Katharina, and Matthias Middell. "Migration als Forschungsfeld." Universität Leipzig, 1998. https://ul.qucosa.de/id/qucosa%3A33109.
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Aubriot, Thomas. "Classification des objets galoisiens d'une algèbre de Hopf /." Strasbourg : IRMA, 2007. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=016604722&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
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Wurzbacher, Tobias. "Vocal fold dynamics : quantification and model-based classification /." Aachen : Shaker Verlag, 2008. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=016315367&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
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Ziegler, Christoph. "Technologien für verteilte elektronische Bibliotheken - MONARCH und Speicherungs-Technologien." Universitätsbibliothek Chemnitz, 1998. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-199800413.
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Oxenham, Senga K. "Classification of an Ocimum germplasm collection (NCRPIS, AMES) and investigation of antifungal activity." Thesis, University of Glasgow, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.401650.
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NETO, ALEXANDRE HENRIQUE LEAL. "UNSUPERVISED CLASSIFICATION OF SATELLITE IMAGES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1994. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=8497@1.
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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>A classificação e segmentação não-supervisionadas de
imagens de sensoriamento remoto são examinadas neste
trabalho. A classificação é realizada tomando-se como base
o critério de Bayes, que busca minimizar o valor esperado
do erro de classificação. Os algoritmos desenvolvidos
foram propostos pressupondo-se que a estrutura das classes
presentes na imagem podem ser bem modeladas por vetores
aleatórios guassianos. Os classificadores convencionais,
que só levam em conta a informação dos pixels de forma
isolada, forma tratados sob a ótica da quantização
vetorial. Em particular, foi proposto um algoritmo de
classificação com base na quantização vetorial com
restrição de entropia. O desempenho das técnicas de
classificação é analisado obsevando-se a discrepância
entre classificações, comparando-se as imagens
classificadas com imagens referencia e classificando-se
imagens sintéticas. A taxa de acerto, entre 80% e 95%.
Este bom desempenho dos classificadores é limitado pelo
fato de, em suas estruturas, levarem em conta a informação
dos pixels de forma isolada. Buscamos, através da
classificação de segmentos, incorporar informações de
contexto em nossos classificadores. A classificação de
segmentos levou a taxas de erros inferiores àquelas
alcançadas por classificadores baseados em pixels
isolados. Um algoritmo de segmentação, que incorpora ao
modelo de classificação por pixels a influencia de sua
vizinhança através de uma abordagem markoviana, é
apresentado.<br>Unsupervised classification and segmentation of satellite
images are examined in this work. The classification is
based on Bayes` criterion, which tries to minimize the
expected value of the classification error. The algorthms
developed were proposed postulating that the classes in
the image are well modeled by gaussian random vectors.
Conventional classifiers, which take into account only
pixelwise information, were treated as vector quantizers.
Specifically, it was proposed a classification algorithm
based on entropy constrained vector. The behaviour of the
classifiers is examined observing the discrepancy between
classifications, comparing classified images with
reference-images and classifyng sinthetic images. The
percentage of pixels whitch are assigned to the same class
as in the reference-images ranged from 80,0% to 95,0%.
This good behaviour of the classidiers is limited by the
fact that, in theirs structures, are taken into account
only isolated pixel information. We have sought, by
classifying segments, to introduce contextual information
into the classifiers structure. The segments classidiers.
A segmentation algorithm, which introduces contextual
information into pixelwise classifier by a markovian
approach, is presented.
26
OGURI, PEDRO. "MACHINE LEARNING FOR SENTIMENT CLASSIFICATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2006. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=9947@1.
Full textAbstract:
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>Sentiment Analysis é um problema de categorização de texto
no qual deseja-se identificar opiniões favoráveis e
desfavoráveis com relação a um tópico.
Um exemplo destes tópicos de interesse são organizações e
seus produtos. Neste problema, documentos são
classificados pelo sentimento, conotação,
atitudes e opiniões ao invés de se restringir aos fatos
descritos neste. O principal desafio em Sentiment
Classification é identificar como sentimentos são
expressados em textos e se tais sentimentos indicam uma
opinião positiva (favorável) ou negativa (desfavorável)
com relação a um tópico. Devido ao crescente volume de
dados disponível na Web, onde todos tendem
a ser geradores de conteúdo e expressarem opiniões sobre
os mais variados assuntos, técnicas de Aprendizado de
Máquina vem se tornando cada vez mais atraentes.
Nesta dissertação investigamos métodos de Aprendizado de
Máquina para Sentiment Analysis. Apresentamos alguns
modelos de representação de documentos como saco de
palavras e N-grama. Testamos os classificadores
SVM (Máquina de Vetores Suporte) e Naive Bayes com
diferentes modelos de representação textual e comparamos
seus desempenhos.<br>Sentiment Analysis is a text categorization problem in
which we want to
identify favorable and unfavorable opinions towards a
given topic. Examples
of such topics are organizations and its products. In this
problem, docu-
ments are classifed according to their sentiment,
connotation, attitudes and
opinions instead of being limited to the facts described
in it.
The main challenge in Sentiment Classification is
identifying how sentiments
are expressed in texts and whether they indicate a
positive (favorable) or
negative (unfavorable) opinion towards a topic. Due to the
growing volume
of information available online in an environment where we
all tend to be
content generators and express opinions on a variety of
subjects, Machine
Learning techniques have become more and more attractive.
In this dissertation, we investigate Machine Learning
methods applied to
Sentiment Analysis. We present document representation
models such as
bag-of-words and N-grams.We compare the performance of the
Naive Bayes
and the Support Vector Machine classifiers for each
proposed model
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FALCAO, ANDRE DE LIMA. "FAMILY BUSINESS CLASSIFICATION BY FAMILINESS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2009. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=15851@1.
Full textAbstract:
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>O presente estudo propõe uma taxonomia para empresas familiares e
pretende contribuir para estimular o desenvolvimento das pesquisas nacionais
nesse campo. Para isso, as empresas são agrupadas de acordo com o grau de
interação e influência exercida pela família, ou familiness, através das dimensões
Poder, Experiência e Cultura. Para realizar a pesquisa, utilizou-se uma adaptação
da escala de influência familiar F-PEC (Familiness-Power, Experience, and
Culture), introduzida por Astrachan, Klein e Smyrnios (2002), de onde foram
extraídos os três constructos teóricos utilizados como as dimensões determinantes
das classes desenvolvidas. Nesse sentido, as subescalas Poder, Experiência e
Cultura formaram 27 possíveis classes, posteriormente buscadas na amostra, tendo
em vista que elas medem a influência familiar no que diz respeito à propriedade,
gestão, sucessão, dedicação e sinergia de valores empresa/família. Para isso,
foram coletados dados a partir de um questionário respondido pelos principais
membros diretores de empresas brasileiras consideradas familiares por seus
respondentes. Em uma segunda etapa, a partir das variáveis da pesquisa, foi
realizada uma análise estatística de fatores que confirma as dimensões teóricas e
fortalece a ideia de que a escala F-PEC pode ser empregada na indústria brasileira.
Em seguida, uma análise hierárquica de clusters apontou cinco grupos diferentes
de empresas encontrados na amostra, confirmados na análise de K-means clusters.
Diante dos dados, os resultados finais sugerem ser possível existir uma associação
entre a quantidade de funcionários da empresa e o grupo ao qual pertence.<br>This study proposes a family business taxonomy and is intended to
contribute stimulating the development of Brazilian researches in this field of
knowledge. On that account, the firms are grouped by the degree of influence and
interaction casted by the family, or familiness, through Power, Experience and
Culture dimensions. To accomplish the research, has been used an adaptation of
the F-PEC (Familiness-Power, Experience, and Culture) family influence scale,
introduced by Astrachan, Klein e Smyrnios (2002), from where the three
constructs has been extracted and used as dimensions of developed taxa. In this
way, the Power, Experience and Culture subscales formed 27 possible taxa,
searched in the sample afterward, since it measures the family influence by
ownership, management, succession, dedication and synergy of firm/family
values. On that account, data has been collected by a questionnaire answered by
CEOs of Brazilian firms taken as family firms by then. In a second stage, a factor
analysis has been executed from the research variables that assures the theoretical
dimensions and strengthen the idea of the use of the F-PEC scale on Brazilian
industry. Next, a hierarchical cluster analysis showed five different groups of
firms found in the sample and confirmed by the K-Means cluster analysis. The
final results suggests to be possible the existence of an association between the
number of employees of the firm and the cluster it belongs.
28
Stierle, Karlheinz. "Der Text als Werk und als Vollzug." Bärenreiter Verlag, 1998. https://slub.qucosa.de/id/qucosa%3A36793.
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Weiss, Christian. "Self-Localization and terrain classification for mobile outdoor robots /." München : Verl. Dr. Hut, 2009. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=017311174&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
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McKay, Cory. "Automatic music classification with jMIR." Thesis, McGill University, 2010. http://digitool.Library.McGill.CA:8881/R/?func=dbin-jump-full&object_id=92213.
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Fu, Yueyu. "Automatic text classification using a multi-agent framework." [Bloomington, Ind.] : Indiana University, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3238501.
Full textAbstract:
Thesis (Ph.D.)--Indiana University, School of Library and Information Science, 2006.<br>"Title from dissertation home page (viewed July 12, 2007)." Source: Dissertation Abstracts International, Volume: 67-10, Section: A, page: 3634. Adviser: Javed Mostafa.
32
Nappa, Dario. "Bayesian classification using Bayesian additive and regression trees." Ann Arbor, Mich. : ProQuest, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3336814.
Full textAbstract:
Thesis (Ph.D. in Statistical Sciences)--S.M.U.<br>Title from PDF title page (viewed Mar. 16, 2009). Source: Dissertation Abstracts International, Volume: 69-12, Section: B, page: . Adviser: Xinlei Wang. Includes bibliographical references.
33
Niemöller, Klaus Wolfgang. "Musiktheorie als Text." Bärenreiter Verlag, 1998. https://slub.qucosa.de/id/qucosa%3A36818.
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Wei, Xuelian. "Statistical methods in classification problems using gene expression / proteomic signatures." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1680042151&sid=2&Fmt=2&clientId=1564&RQT=309&VName=PQD.
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Ruoff, Michael. "Technik als Möglichkeit." Doctoral thesis, Universitätsbibliothek Chemnitz, 2000. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200000721.
Full textAbstract:
Die Arbeit untersucht das Neue in der Technik, wobei Beobachter zweiter Ornung(Luhmann) den Ausgangspunkt bilden. Die Verbindung der Stellungnahmen der Beobachter zweiter Ordnung in der Geschichte führt zu einer Beschreibung des technischen Systems mit Möglichkeiten. Das technische System erweist sich als expansiv, funktionsorientiert und weltoffen seitens eines historischen Akteurs, der das technisch Neue durch schöpferisches Handeln konstruiert. Die Techniksoziologie sieht sich hier mit einem Unbestimmten konfrontiert, da das Neue weitgehend unprognostizierbar bleibt.
36
Dang, Van Mô. "Classification de donnees spatiales : modeles probabilistes et criteres de partitionnement." Compiègne, 1998. http://www.theses.fr/1998COMP1173.
Full textAbstract:
La problématique de la classification de données spatiales se pose par exemple lorsqu'on segmente une image en régions homogènes ou lorsqu'on cartographie des données multidimensionnelles localisées telles que des relevés physico-chimiques du sol. Dans ce travail, les méthodes proposées s'appuient sur des distributions de probabilité afin de modéliser les mécanismes engendrant la partition non observée et les observations. S'il s'agit d'effectuer les regroupements en se basant uniquement sur les valeurs observées, on rappelle que les modèles de mélange, la vraisemblance classifiante et l'algorithme EM procurent des solutions flexibles et relativement simples à mettre en œuvre. Afin d'intégrer en outre une hypothèse d'homogénéité spatiale de la partition, on se propose de conduire des raisonnements similaires dans le cadre des modèles utilisant un champ de Markov caché. D'une part, on démontre qu'en appliquant l'algorithme EM au cas des champs de potts cachés avec une approximation de champ moyen, on effectue les mêmes calculs que l'optimisation alternée d'une vraisemblance classifiante floue. Ce constat permet d'améliorer sur certains points une méthode de classification spatiale floue itérative récemment proposée. Sur des données simulées et réelles, la méthode obtenue fournit des résultats comparables aux techniques utilisant des simulations de Monte-Carlo pour un cout algorithmique moindre. D'autre part, on adapte l'approche précédente à des types particuliers de données spatiales. Pour un problème d'écologie numérique, on construit ainsi une méthode visant à classifier des indicateurs de présence/absence localisés. On propose selon une démarche analogue un algorithme de classification peu sensible aux valeurs atypiques. Enfin, pour traiter des données spatiales incomplètes, on propose d'optimiser une vraisemblance classifiante dont le modèle statistique sous-jacent intègre la notion de valeurs manquantes.
37
Lindenberg, Marc. "A biopharmaceutics classification scheme for the development of new drugs /." Aachen : Shaker, 2008. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=016726181&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
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Witting, Katarina. "Classification, comorbidity, heredity, and risk factors of female sexual dysfunctions /." Abo, Finland : Abo Akademi University, 2008. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=017633778&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
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SANTOS, RAFAEL DE OLIVAES V. DOS. "COMBINING MLP NEURAL NETS FOR CLASSIFICATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2001. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=1890@1.
Full textAbstract:
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>Esta dissertação investigou a criação de comitês de
classificadores baseados em Redes Neurais Multilayer
Perceptron (Redes MLP, abreviadamente). Isso foi feito em
dois passos: primeiro, aplicando-se procedimentos para
criação de redes complementares, i.e, redes individualmente
eficazes mas que cometem erros distintos; segundo, testando-
se sobre essas redes alguns dos principais métodos de
combinação disponíveis. Dentre os procedimentos para
criação de redes complementares, foi dado enfoque para os
baseados em alteração do conjunto de treinamento. Os
métodos Bootstrap e Arc-x4 foram escolhidos para serem
utilizados no estudo de casos, juntamente com o método RDP
(Replicação Dirigida de Padrões). No que diz respeito aos
métodos de combinação disponíveis, foi dada particular
atenção ao método de combinação por integrais nebulosas.
Além deste método, implementou-se combinação por média,
votação por pluralidade e Borda count. As aplicações
escolhidas para teste envolveram duas vertentes importantes
na área de visão computacional - Classificação de
Coberturas de Solo por Imagens de Satélite e Reconhecimento
de Expressões Faciais. Embora ambas pertençam à mesma área
de conhecimento, foram escolhidas de modo a representar
níveis de dificuldade diferentes como tarefas de
classificação - enquanto a primeira contou com um grande
número de padrões disponíveis, a segunda foi
comparativamente limitada nesse sentido. Como resultado
final, comprovou-se a viabilidade da utilização de comitês
em problemas de classificação, mesmo com as possíveis
variações de desempenho relacionadas com a complexidade
desses problemas. O método de combinação baseado em
integrais nebulosas mostrou-se particularmente eficiente
quando associado ao procedimento RDP para formação das redes
comissionadas, mas nem sempre foi satisfatório. Considerado
individualmente, o RDP tem a limitação de criar, no máximo,
tantas redes quanto forem as classes consideradas em um
problema; porém, quando este número de redes foi
considerado como base de comparação, o RDP se mostrou,
na média de todos os métodos de combinação testados, mais
eficaz que os procedimentos Bootstrap e Arc-x4. Por outro
lado, tanto o Bootstrap quanto o Arc-x4 têm a importante
vantagem de permitirem a formação de um número crescente de
membros, o que quase sempre acarretou em melhorias de
desempenho global em relação ao RDP.<br>The present dissertation investigated the creation of
classifier committees based on Multilayer Perceptron Neural
Networks (MLP Networks, for short). This was done in two
parts: first, by applying procedures for creating
complementary networks, i.e., networks that are individually
accurate but cause distinct misclassifications; second, by
assessing different combining methods to these network`s
outputs. Among the procedures for creating committees
members, the main focus was set to the ones based on
changes to the training set . Bootstrap and Arc-x4 were
chosen to be used at the experiments, along with the RDP
procedure (translated as Driven Pattern Replication). With
respect to the available combining methods, special
attention was paid to fuzzy integrals combination. Average
combination, plurality voting and Borda count were also
implemented. The chosen experimental applications included
interesting branches from computer vision: Land Cover
Classification from Satellite Images and Facial Expression
Recognition. These applications were specially interesting,
in the sense they represent two different levels of
difficulty as classification tasks - while the first had a
great number of available patterns, the second was
comparatively limited in this way. This work proved the
viability of using committees in classification problems,
despite the small performance fluctuations related to these
problems complexity. The fuzzy integrals method has shown
to be particularly interesting when coupled with the RDP
procedure for committee creation, but was not always
satisfactory. Taken alone, the RDP has the limitation of
creating, at most, as many networks as there are classes to
be considered at the problem at hand; however, when
this number of networks was considered as the basis for
comparison, this procedure outperformed, taking into
account average combining results, both Bootstrap and Arc-
x4. On the other hand, these later procedures have the
important advantage of allowing the creation of an
increasing number of committee members, what almost always
increased global performance in comparison to RDP.<br>Esta disertación investigó la creación de comités de
clasificadores basados en Redes Neurales Multilayer
Perceptron (Redes MLP, abreviadamente). Esto fue ejecutado
en dos pasos: primeiro, aplicando procedimentos para la
creación de redes complementares, esto es, redes que
individualmente son eficaces pero que cometen erros
diferentes; segundo, probando sobre esas redes, algunos de
los principales métodos de combinación disponibles. Dentro
de los procedimentos para la creación de redes
complementares, se eligieron los basados en alteración del
conjunto de entrenamiento. Los métodos Bootstrap y Arc-x4
fueron seleccionados para utilizarlos em el estudio de
casos, conjuntamente con el método RDP (Replicación
Dirigida de Padrones). Con respecto a los métodos de
combinación disponibles, se le dió particular atención al
método de combinación por integrales nebulosas. Además de
este método, se implementaron: combinación por media,
votación por pluralidad y Borda cont. Las aplicaciones
seleccionadas para pruebas consideran dos vertientes
importantes en la área de visión computacional -
Clasificación de Coberturas de Suelo por Imágenes de
Shastalite y Reconocimiento de Expresiones Faciales. Aunque
ambas pertencen a la misma área de conocimento, fueron
seleccionadas de modo con diferentes níveles de dificuldad
como tareas de clasificación - Mientras la primera contó
con un gran número de padrones disponibles, la segunda fue
comparativamente limitada em ese sentido. Como resultado
final, se comprobó la viabilidad de la utilización de
comités en problemas de clasificación, incluso con las
posibles variaciones de desempeño relacionadas con la
complejidad de esos problemas. El método de combinación
basado en integrales nebulosas se mostró particularmente
eficiente asociado al procedimiento RDP para formación de
las redes comisionadas, pero no siempre fue satisfactorio.
Considerado individualmente, el RDP tiene la limitación de
crear, como máximo, tantas redes como clases consideradas
en un problema; sin embargo, cuando el número de redes fue
considerado como base de comparación, el RDP se mostró más
eficaz, en la media de todos los métodos de combinación,
que los procedimentos Bootstrap y Arc-x4. Por otro lado,
tanto el Bootstrap como el Arc-x4 tiene la importante
ventaja de permitir la formación de un número cresciente de
miembros, lo que generalmente mejora el desempeño global en
relación al RDP.
40
NUNES, BERNARDO PEREIRA. "AUTOMATIC CLASSIFICATION OF SEMI-STRUCTURED DATA." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2009. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=14382@1.
Full textAbstract:
PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>O problema da classificação de dados remonta à criação de taxonomias visando cobrir áreas do conhecimento. Com o surgimento da Web, o volume de dados disponíveis aumentou várias ordens de magnitude, tornando praticamente impossível a organização de dados manualmente. Esta dissertação tem por objetivo organizar dados semi-estruturados, representados por frames, sem uma estrutura de classes prévia. A dissertação apresenta um algoritmo, baseado no K-Medóide, capaz de organizar um conjunto de frames em classes, estruturadas sob forma de uma hierarquia estrita. A classificação dos frames é feita a partir de um critério de proximidade que leva em conta os atributos e valores que cada frame possui.<br>The problem of data classification goes back to the definition of taxonomies covering knowledge areas. With the advent of the Web, the amount of data available has increased several orders of magnitude, making manual data classification impossible. This dissertation proposes a method to automatically classify semi-structured data, represented by frames, without any previous knowledge about structured classes. The dissertation introduces an algorithm, based on K-Medoid, capable of organizing a set of frames into classes, structured as a strict hierarchy. The classification of the frames is based on a closeness criterion that takes into account the attributes and their values in each frame.
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MELONI, RAPHAEL BELO DA SILVA. "REMOTE SENSING IMAGE CLASSIFICATION USING SVM." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2009. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=31439@1.
Full textAbstract:
PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>Classificação de imagens é o processo de extração de informação em imagens digitais para reconhecimento de padrões e objetos homogêneos, que em sensoriamento remoto propõe-se a encontrar padrões entre os pixels pertencentes a uma imagem digital e áreas da superfície terrestre, para uma análise posterior por um especialista. Nesta dissertação, utilizamos a metodologia de aprendizado de máquina support vector machines para o problema de classificação de imagens, devido a possibilidade de trabalhar com grande quantidades de características. Construímos classificadores para o problema, utilizando imagens distintas que contém as informações de espaços de cores RGB e HSB, dos valores altimétricos e do canal infravermelho de uma região. Os valores de relevo ou altimétricos contribuíram de forma excelente nos
resultados, uma vez que esses valores são características fundamentais de uma região e os mesmos não tinham sido analisados em classificação de imagens de sensoriamento remoto. Destacamos o resultado final, do problema de classificação de imagens, para o problema de identificação de piscinas com vizinhança dois. Os resultados obtidos são 99 por cento de acurácia, 100 por cento de precisão, 93,75 por cento de recall, 96,77 por cento de F-Score e 96,18 por cento de índice Kappa.<br>Image Classification is an information extraction process in digital images for pattern and homogeneous objects recognition. In remote sensing it aims to find patterns from digital images pixels, covering an area of earth surface, for subsequent analysis by a specialist. In this dissertation, to this images classification problem we employ Support Vector Machines, a machine learning methodology, due the possibility of working with large quantities of features. We built classifiers to the problem using different image information, such as RGB and HSB color spaces, altimetric values and infrared channel of a region. The altimetric values contributed to excellent results, since these values are fundamental characteristics of a region and they were not previously considered in remote sensing images classification. We highlight the final result, for the identifying swimming pools problem, when neighborhood is two. The results have 99 percent accuracy, 100 percent precision, 93.75 percent of recall, 96.77 percent F-Score and 96.18 percent of Kappa index.
42
Irrgang, Bernhard. "Medizin als Technoscience." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2008. http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1223716499235-10305.
Full textAbstract:
Der amerikanische Philosoph Don Ihde entwickelte in den letzten zwanzig Jahren im Anschluss an die Technikphilosophie Martin Heideggers ein Konzept von Technoscience, das die technische Dimension der Naturkunde und der Naturwissenschaft sowie ihre kulturelle Einbettung hervorhebt. Insbesondere Heidegger und Ihde beschränken Technoscience- Ansätze auf neuzeitliche experimentelle Naturwissenschaft. Technoscience sollte jedoch auch wesentliche Bereiche der Medizin umfassen, allerdings mit deutlich technischer Zielsetzung. Drei Paradigmen haben sich für die Diskussion in der Bioethik herausgeschält: (1) eine Ethik des konservativen Lebensschutzes; (2) eine Ethik des pragmatischen Heilens und Verbesserns einschließlich innovativer Verwendung moderner Biotechnologie im Rahmen einer Handlungsorientierung am menschlichen Leib; (3) die Position der liberalen Eugeniker<br>Over the past 20 years, American philosopher Don Ihde has developed a concept of technoscience, based on Heidegger's philosophy of technology, to emphasise the technological dimension of natural history, natural science and their cultural context. Both Heidegger and Ihde limit the technoscience approach to modern experimental natural science. However, technoscience should also embrace essential areas of medicine, albeit with decidedly technical objectives. Three paradigms have evolved for the discussion in bioethics: (1) the ethics of conservative protection of life; (2) the ethics of pragmatic healing and betterment, including innovative applications of modern biotechnology within a framework of action centred on the human body; (3) the position and theses of liberal eugenics
43
von, Dadelsen Georg. "Text als Geschichte." Bärenreiter Verlag, 1998. https://slub.qucosa.de/id/qucosa%3A36835.
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Gottschewski, Hermann. "Interpretation als Struktur." Bärenreiter Verlag, 1998. https://slub.qucosa.de/id/qucosa%3A37085.
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Laggner, Andreas, Birgit Laggner, Andreas Gensior, Thomas Riedel, and Annette Freibauer. "Flächennutzungsanalysen als Grundlage der Klimaberichterstattung." Leibniz-Institut für ökologische Raumentwicklung, 2015. https://slub.qucosa.de/id/qucosa%3A7565.
Full textAbstract:
Als Unterzeichnerstaat mehrerer internationaler Vereinbarungen zum Klimaschutz hat sich Deutschland verpflichtet, jährlich nationale Emissionsinventare zu Treibhausgasen zu erstellen (Klimaberichterstattung). Im Sektor 5 „Landnutzung, Landnutzungsänderung und Forstwirtschaft (LULUCF)“ muss über die Emissionen aus Veränderungen in den Pools Boden, ober- und unterirdische Biomasse sowie Totholz und Streu berichtet werden, infolge anthropogenen Einflusses auf die Landnutzung. Grundlage der nationalen LULUCF-Berichterstattung ist u. a. die Erstellung einer konsistenten Zeitreihe der Landnutzung und Landnutzungsänderungen in Deutschland von 1990 bis heute. Dieser lange Zeitraum lässt sich flächendeckend mit den jeweils bestmöglichen Daten nur unter Verwendung unterschiedlicher Datensätze abdecken (z. B. Corine Land Cover, Basis-DLM, CIR-Luftbilder, Satellitenbilder). Diese unterscheiden sich in vielerlei Hinsicht jedoch stark (z. B. Auflösung, Inhalt). Um diese Datensätze zu einer einheitlichen räumlich und zeitlich konsistenten Landnutzungsmatrix zusammenzuführen, wurde ein auf Punktstichproben basierender Rasterpunktansatz entwickelt. Dieser wird in diesem Beitrag vorgestellt.
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McKay, Cory. "Automatic genre classification of MIDI recordings." Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=81503.
Full textAbstract:
A software system that automatically classifies MIDI files into hierarchically organized taxonomies of musical genres is presented. This extensible software includes an easy to use and flexible GUI. An extensive library of high-level musical features is compiled, including many original features. A novel hybrid classification system is used that makes use of hierarchical, flat and round robin classification. Both k-nearest neighbour and neural network-based classifiers are used, and feature selection and weighting are performed using genetic algorithms. A thorough review of previous research in automatic genre classification is presented, along with an overview of automatic feature selection and classification techniques. Also included is a discussion of the theoretical issues relating to musical genre, including but not limited to what mechanisms humans use to classify music by genre and how realistic genre taxonomies can be constructed.
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Radinsky, Iliya. "Improved algorithm for classification of nystagmus." Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=81561.
Full textAbstract:
An improved algorithm for classification of nystagmus was designed allowing the sorting of response segments even in severely non-linear patients and subjects with abnormally large phase shifts. The algorithm employs a model-based approach that was developed by Rey and Galiana (1991). The improved classification algorithm consists of two essential stages. In the first stage the eye velocity response is classified to obtain best possible estimates of the slow phase eye velocity intervals. In the second stage, the slow phase estimates are used to identify a response phase shift and non-linearity, and compensate for their effects. Multiple tests on simulated data and experimental data obtained from clinical subjects are presented. The results of the tests demonstrate that the algorithm is able to analyze the patient data with a high accuracy even in the presence of noise, eye-blinks and other artifacts.
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Gray, Sharmistha Sarkar. "Speech science modeling for automatic accent and dialect classification." Connect to online resource, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3257551.
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Schmalz, Andrew Peter. "Classification, analysis, and control of planar tensegrity structures for robotic applications." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 127 p, 2007. http://proquest.umi.com/pqdweb?did=1313919761&sid=12&Fmt=2&clientId=8331&RQT=309&VName=PQD.
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Nasser, Sara. "Fuzzy methods for meta-genome sequence classification and assembly." abstract and full text PDF (free order & download UNR users only), 2008. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3307706.
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