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} | ['gnd:4261480-6', 'gnd:4832365-2'] | ['Systementwurf', 'Modellgetriebene Entwicklung'] | ['inf'] | ['Technische Informationsbibliothek (TIB)'] | [['(firstid)DNB:1022242229', '(ppn)717639975']] | [''] | [['(classificationName=linseach:mapping)inf', '(classificationName=bk, id=475288998)54.65 - Webentwicklung, Webanwendungen', '(classificationName=ddc)m', '(classificationName=bk, id=106418866)54.38 - Computersicherheit', '(classificationName=ddc-dbn)m', '(classificationName=ddc-dbn)004']] | ['Model-driven security in service-oriented architectures : leveraging security patterns to transform high-level security requirements to technical policies'] | ['Service-oriented Architectures (SOA) facilitate the provision and orchestration of business services to enable a faster adoption to changing business demands. Web Services provide a technical foundation to implement this paradigm on the basis of XML-messaging. However, the enhanced flexibility of message-based systems comes along with new threats and risks. To face these issues, a variety of security mechanisms and approaches is supported by the Web Service specifications. The usage of these security mechanisms and protocols is configured by stating security requirements in security policies. However, security policy languages for SOA are complex and difficult to create due to the expressiveness of these languages. To facilitate and simplify the creation of security policies, this thesis presents a model-driven approach that enables the generation of complex security policies on the basis of simple security intentions. SOA architects can specify these intentions in system design models and are not required to deal with complex technical security concepts. The approach introduced in this thesis enables the enhancement of any system design modelling languages – for example FMC or BPMN – with security modelling elements. The syntax, semantics, and notion of these elements is defined by our security modelling language SecureSOA. The metamodel of this language provides extension points to enable the integration into system design modelling languages. In particular, this thesis demonstrates the enhancement of FMC block diagrams with SecureSOA. To enable the model-driven generation of security policies, a domain-independent policy model is introduced in this thesis. This model provides an abstraction layer for security policies. Mappings are used to perform the transformation from our model to security policy languages. However, expert knowledge is required to generate instances of this model on the basis of simple security intentions. Appropriate security mechanisms, protocols and options must be chosen and combined to fulfil these security intentions. In this thesis, a formalised system of security patterns is used to represent this knowledge and to enable an automated transformation process. Moreover, a domain-specific language is introduced to state security patterns in an accessible way. On the basis of this language, a system of security configuration patterns is provided to transform security intentions related to data protection and identity management. The formal semantics of the security pattern language enable the verification of the transformation process introduced in this thesis and prove the correctness of the pattern application. Finally, our SOA Security LAB is presented that demonstrates the application of our model-driven approach to facilitate a dynamic creation, configuration, and execution of secure Web Service-based composed applications.zeige weniger'] | ['2012'] | ['http://id.loc.gov/vocabulary/iso639-1/en'] | ['open access'] | [[{'@id': 'gnd:4261480-6'}, {'@id': 'gnd:4832365-2'}]] | ['gnd:1072583011', 'gnd:4261480-6', 'gnd:4832365-2', 'https://www.tib.eu/de/suchen/id/TIBKAT%3A717639975'] | ['Menzel, Michael', 'Systementwurf', 'Modellgetriebene Entwicklung'] | 11 |
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} | [] | [] | ['mas'] | ['Hoffmann, Norbert'] | [['(ppn)719918014', '(firstid)GBV:719918014']] | ['Techn. Univ. Hamburg-Harburg, Univ.-Bibl.'] | [['FSW', 'Process', 'Bobbin tool', '(classificationName=ddc)620', '(classificationName=bk, id=106420070)52.82 - Fügetechnik', '(classificationName=ddc-dbn)670', 'Simulation', 'Prozess', '(classificationName=linseach:mapping)mas']] | ['Knowledge based process development of bobbin tool friction stir welding'] | [['Over the last twenty years Friction Stir Welding (FSW) has proven to be a very promising new joining technique. Especially high strength aluminium alloys can be welded with large advantages as compared to conventional fusion welding processes. For some joint configurations and desired applications bobbin tool welding is a process variant that can circumvent limitations arising from the high process forces in conventional tool FSW. As bobbin tools are highly mechanically loaded, in-depth understanding of the evolution of temperatures and forces is desirable to avoid tool failure and extend the range of applicable process parameters together with overall productivity. Up to now the process and tool development has been mostly empirical. A transition to a science based approach is highly necessary.The work presented here was conducted to establish a set of numerical models that can be used in process development of bobbin tool FSW. The first model covers the transient temperature fields that are needed as input for any further model. The material flow model predicts the acting forces and shear layer shape. Finally the mechanical loads on the tool are predicted by a mechanical model.The models predict very time and position dependent conditions for the investigated specimen sizes and welding speeds. This explains the instability that can be observed experimentally under certain conditions. A control strategy is needed to produce sound welds at reasonable productivity. A versatile controller has been successfully designed, implemented and tested as part of the work presented here.The models are applied to the existing tools and validated experimentally. A novel tool design is developed based on the experimental results and further improved using the models predictions. Finally the new tool design is tested. The results have shown that the productivity of the process as well as the joint quality could be significantly improved. The knowledge about the thermal history and extent of plastic deformation gained from the process model is a valuable input to the understanding of microstructure formation and the development of residual stress fields.', 'Das Rührreibschweißen hat sich in den letzten 20 Jahren als vielversprechender Fügeprozess herausgestellt. Insbesondere beim Fügen hochfester Aluminium Legierungen zeigen sich große Vorteile gegenüber konventionellen Schweiß verfahren. Die Prozessvariante des Bobbin Werkzeuges (Zweischulterwerkzeug) kann in einigen Fällen genutzt werden um die Einschränkungen des konventionellen Verfahrens durch übermäßige Prozesskräfte zu umgehen. Da Bobbin Werkzeuge mechanisch sehr hoch belastet sind sollten die wirkenden Kräfte und Temperaturen möglichst exakt bekannt sein um die Zerstörung der Werkzeuge zu verhindern und das Prozessfenster und die Produktivität zu optimieren. Bis jetzt basierte die Prozess- und Werkzeugentwicklung auf empirischen Erwägungen. Ein Übergang hin zu einem wissensbasierten Ansatz erscheint dringend erforderlich. Die vorliegende Arbeit präsentiert eine Reihe numerischer Modelle die für die Prozessentwicklung des Reibrührschweißens mit Bobbin Werkzeug eingesetzt werden können. Das grundlegende Modell ermöglicht die zeitaufgelöste Vorhersage der Temperaturverläufe innerhalb des Prozesses und wird für alle weiterführenden Vorhersagen benötigt. Der Materialfluss wird modelliert, um Aussagen über die wirkenden Kräfte und die Form der Scherschicht zu ermöglichen. Diese mechanischen Lasten finden Eingang in ein Modell zur Vorhersage des Spannungszustandes im Werkzeug. Die Vorhersagen ergeben im Falle der verwendeten Probengeometrie und Prozessparametern sehr zeit- und ortsabhängige Verläufe der Prozessgrößen. Dies erklärt die zu beobachtende Instabilität für ungeregelte Versuche. Eine Regelstrategie ist unerlässlich, um fehlerfreie Verbindungen mit akzeptabler Produktivität zu erreichen. Ein solcher Regelalgorithmus wird im Rahmen der Arbeit erfolgreich entworfen, implementiert und angewendet. Die numerischen Modelle werden auf die verfügbaren Werkzeuge angewendet und die Vorhersagen experimentell überprüft. Auf den Ergebnissen aufbauend wird eine verbesserte Werkzeuggeometrie entwickelt, produziert und getestet. Die Ergebnisse zeigen, dass die Produktivität des Verfahrens und die Qualität der Verbindungen erheblich verbessert werden können. Erst das Wissen um die exakten Temperaturverläufe im Material und das Ausmaß der plastischen Verformung ermöglicht weiterführende Untersuchungen der Entwicklung der Mikrostrukur und der Eigenspannungen.']] | ['2012'] | ['http://id.loc.gov/vocabulary/iso639-1/en'] | ['open access'] | [''] | ['gnd:10184290-9', 'gnd:1133108024', 'gnd:113319978X', 'gnd:4133920-4', 'https://www.tib.eu/de/suchen/id/TIBKAT%3A719918014'] | ['Technische Universität Hamburg-Harburg, Institut für Werkstoffphysik und -technologie', 'Hilgert, Jakob', 'Hoffmann, Norbert', 'Reibschweißen'] | 15 |
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} | ['gnd:4125931-2', 'gnd:4067486-1', 'gnd:4115643-2', 'gnd:4274168-3'] | ['Zeitreihenanalyse', 'Prognosequalität', 'Preisentwicklung', 'Börsenhandel'] | ['mat'] | ['Technische Informationsbibliothek (TIB)'] | [['(ppn)720240522', '(firstid)GBV:720240522']] | [''] | [['Markov-Kette', '(classificationName=bk, id=106417320)85.03 - Methoden und Techniken der Betriebswirtschaft', '(classificationName=bk, id=106414763)85.30 - Investition, Finanzierung', '(classificationName=ddc-dbn)330', '(classificationName=linseach:mapping)oek', 'Statistische Bestandsanalyse', 'Deutschland', 'Frankfurt (Main)', '(classificationName=ddc-dbn)310', '(classificationName=rvk)QH 237', 'Börsenkurs', 'Prognoseverfahren', '(classificationName=linseach:mapping)mat']] | ['Contributions to statistical modelling of high-frequency financial data with applications to Frankfurt Stock Exchange'] | ['This dissertation is concerned with the forecasting performance of time series models for the price movements of high-frequency transaction data on the Frankfurt Stock Exchange. The availability of high quality data of this kind at an affordable cost makes it possible to investigate the intra-daily price movements and their relationship with the corresponding trading volumes. The first of the two main chapters is concerned with models to describe price durations, i.e. the time intervals between successive price changes of at least a predetermined amount. We investigate the forecasting performance of the sophisticated Markov-switching autoregressive conditional duration model proposed by Hujer et al. (2002). It is demonstrated that the model performed quite poorly if strictly out-of-sample assessments are made. The source of this problem is identified and an explanation is provided as to why the findings in the literature suggest a more positive view of the model ...'] | ['2011'] | ['http://id.loc.gov/vocabulary/iso639-1/en'] | ['open access'] | [[{'@id': 'gnd:4125931-2'}, {'@id': 'gnd:4067486-1'}, {'@id': 'gnd:4115643-2'}, {'@id': 'gnd:4274168-3'}]] | ['gnd:1025400615', 'gnd:4067486-1', 'gnd:4115643-2', 'gnd:4125931-2', 'gnd:4274168-3', 'https://www.tib.eu/de/suchen/id/TIBKAT%3A720240522'] | ['Kao, Ta-Chao', 'Zeitreihenanalyse', 'Prognosequalität', 'Preisentwicklung', 'Börsenhandel'] | 16 |
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We augment a matrix factorization model for item recommendation with a mechanism to estimate the latent factors of new items from their attributes (e.g. descriptive keywords). In particular, we demonstrate that optimizing the latent factor estimation with regard to the overall loss of the item recommendation task is superior to optimizing it with regard to the prediction error on the latent factors. The idea of estimating latent factors from attributes can be extended to other tasks (new users, rating prediction) and prediction models, yielding a general framework to deal with cold-start scenarios. We also adapt the Bayesian Personalized Ranking (BPR) framework, which is state of the art in item recommendation, to a setting where more popular items are more frequently encountered when making predictions. By generalizing even more, we get Weighted Bayesian Personalized Ranking, an extension of BPR that allows importance weights to be placed on specific users and items. All method contributions are supported by experiments using large-scale real-life datasets from various application areas like movie recommendation and music recommendation. The software used for the experiments has been released as part of an efficient and scalable free software package.', 'Empfehlungssysteme sind personalisierte Informationssysteme die individuelle Vorlieben anhand von Interaktionen mit dem Benutzer lernen. Ein Großteil der Literatur zu Empfehlungssystemen bezieht sich auf die Vorhersage von Bewertungen. Dies ist nicht das in der Praxis relevanteste Vorhersageproblem: Die entscheidende Frage ist nicht, wie sehr ein Benutzer ein gegebenes Item bewerten wird, sondern welche Items ein Benutzer mag. Des weiteren ist es nicht einfach, Benutzer zu zusätzlichen Handlungen -- wie etwa Bewertungen -- zu bewegen. Implizites Feedback in der Form von Kaufhandlungen, Betrachtungszeiten, Klicks, etc. hingegen ist oft in großen Mengen vorhanden. In der vorliegenden Dissertation betrachten wir primär Item-Empfehlungen auf der Basis von positivem impliziten Feedback. Ein konkretes Problem ist das Vorschlagen neuer Items -- Items die bisher nicht an Interaktionen beteiligt waren. Wir erweitern ein Matrixfaktorisierungs-Modell für Item-Empfehlung mit einem Mechanismus, der die latenten Faktoren neuer Items auf Basis ihrer Attribute schätzt. Insbesondere zeigen wir, dass eine Optimierung des Schätzers auf die globale Verlustfunktion wesentlich besser funktioniert als eine Optimierung auf den Vorhersagefehler auf den latenten Faktoren. Das Prinzip der Faktorenschätzung auf Basis von Attributen kann auf weitere Probleme (neue Benutzer, Vorhersage von Bewertungen) ausgeweitet werden, was uns ein generisches Werkzeug zur Lösung von Kaltstart-Szenarien in Empfehlungssystemen an die Hand gibt. Des weiteren modifizieren wir die Methode des Bayesschen Personalisierten Rankings (BPR) für ein Szenario in dem beliebte Items zur Vorhersagezeit häufiger vorkommen. Durch eine weitere Generalisierung erhalten wir die Methode des Gewichteten Bayesschen Personalisierten Rankings (Weighted Bayesian Personalized Ranking, WBPR), eine Erweiterung von BPR, welche die beliebige Gewichtung von Benutzern und Items erlaubt. Alle methodischen Beiträge dieser Dissertation wurden durch Experimente auf umfangreichen Datensätzen aus unterschiedlichen Anwendungsbereichen untermauert. Die Software für diese Experimente wurde als Teil einer effizienten und skalierbaren Bibliothek unter einer freien Lizenz veröffentlicht.']] | ['2012'] | ['http://id.loc.gov/vocabulary/iso639-1/en'] | ['open access'] | [''] | ['gnd:4511937-5', 'https://www.tib.eu/de/suchen/id/TIBKAT%3A722146701'] | ['Online-Ressource'] | 11 |
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"In this work a new rotation invariant texture model has been systematically developed and evaluated which allows us to distinguish structural features in image patterns intended for supervised pattern recognition. The components \"feature\", \"feature selection\" and \"classifier\" for a pattern recognition system can be selected in such a way as to be as efficient as possible, i.e. so that the quantitative demands for correct classification rates can be fulfilled with a minimum number of features. Two-dimensional ultrasound images show characteristic textures that depend on the imaging technique itself as well as on the tissue under consideration. A texture is the composition of a region of primitive elements -- so called texels -- and their relations to each other. The features of textures are generally described using models, known as texture models. In a study for \"detection of bone edge pixels in two-dimensional ultrasound images\", the classification results of conventional texture features as described by Haralick and Laws were compared to the classification results of features of the rotation invariant texture model. In this study, the features according to Haralick and Laws and those of the rotation invariant texture model were alternately combined with a sequential and a ranking feature selection as well as with a Bayesian and a support vector classificator. The efficiency of the chosen components was rated using image data acquired from a human anatomical specimen. An expert classification of these datasets was given according to the demands of supervised pattern recognition. For the following automatic classification a classification rate of 97% for correctly identifying patterns belonging to class \"tissue\" (specificity \u2265 0.97) and at least 50% for correctly identifying patterns belonging to class \"bone\" (sensitivity > 0.50) was required. The results of the bony structure pixel identification show that a classification based on the features of the rotation invariant texture model has a higher success rate than the features described by Haralick and Laws. Extracting the features of the rotation invariant model is even crucial for achieving the required classification rates, i.e. the required classification rate can only be achieved using the characteristics of the rotation invariant texture model (specificity = 0.971, sensitivity = 0.520). In addition, only a comparatively small number of features are necessary to achieve the demanded classification rate. The quality of the classification can be further improved by increasing the number of used features (specificity = 0.971, sensitivity = 0.633). The effectiveness of the method described for identifying pixels belonging to bony structures was demonstrated by the fact that the proposed classification rate was achieved. Moreover, the small number of necessary features shows the high efficiency of the method as presented here. In a practical setting this reduces the required computational effort and thus leads to a lower computing time for image pattern classification.",
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} | [] | [] | ['inf'] | ['Technische Informationsbibliothek (TIB)'] | [['(ppn)722146728', '(firstid)GBV:722146728']] | [''] | [['Image Analysis', 'Ultrasound Imaging', '(classificationName=ddc-dbn)610', 'Pattern Recognition', '(classificationName=linseach:mapping)inf', '(classificationName=linseach:mapping)meda', '(classificationName=ddc-dbn)004', 'Classification']] | ['Entwicklung und Evaluation eines rotationsinvarianten Texturmodells für die überwachte Bildmustererkennung'] | [['In this work a new rotation invariant texture model has been systematically developed and evaluated which allows us to distinguish structural features in image patterns intended for supervised pattern recognition. The components "feature", "feature selection" and "classifier" for a pattern recognition system can be selected in such a way as to be as efficient as possible, i.e. so that the quantitative demands for correct classification rates can be fulfilled with a minimum number of features. Two-dimensional ultrasound images show characteristic textures that depend on the imaging technique itself as well as on the tissue under consideration. A texture is the composition of a region of primitive elements -- so called texels -- and their relations to each other. The features of textures are generally described using models, known as texture models. In a study for "detection of bone edge pixels in two-dimensional ultrasound images", the classification results of conventional texture features as described by Haralick and Laws were compared to the classification results of features of the rotation invariant texture model. In this study, the features according to Haralick and Laws and those of the rotation invariant texture model were alternately combined with a sequential and a ranking feature selection as well as with a Bayesian and a support vector classificator. The efficiency of the chosen components was rated using image data acquired from a human anatomical specimen. An expert classification of these datasets was given according to the demands of supervised pattern recognition. For the following automatic classification a classification rate of 97% for correctly identifying patterns belonging to class "tissue" (specificity ≥ 0.97) and at least 50% for correctly identifying patterns belonging to class "bone" (sensitivity > 0.50) was required. The results of the bony structure pixel identification show that a classification based on the features of the rotation invariant texture model has a higher success rate than the features described by Haralick and Laws. Extracting the features of the rotation invariant model is even crucial for achieving the required classification rates, i.e. the required classification rate can only be achieved using the characteristics of the rotation invariant texture model (specificity = 0.971, sensitivity = 0.520). In addition, only a comparatively small number of features are necessary to achieve the demanded classification rate. The quality of the classification can be further improved by increasing the number of used features (specificity = 0.971, sensitivity = 0.633). The effectiveness of the method described for identifying pixels belonging to bony structures was demonstrated by the fact that the proposed classification rate was achieved. Moreover, the small number of necessary features shows the high efficiency of the method as presented here. In a practical setting this reduces the required computational effort and thus leads to a lower computing time for image pattern classification.', 'In der vorliegenden Arbeit wurde ein rotationsinvariantes Texturmodell für eine Unterscheidung struktureller Merkmale in Bildmustern für die überwachte Bildmustererkennung systematisch entwickelt und evaluiert. Es wurde gezeigt, dass die Komponenten: Merkmale, Merkmalsselektionsmethoden und Klassifikator eines Mustererkennungssystems so gewählt werden können, dass dies möglichst "effizient" ist, d.h. quantitative Forderungen nach Richtigklassifikationsraten mit einer möglichst geringen Anzahl an Merkmalen erfüllt werden. Zweidimensionale Ultraschallbilder bilden charakteristische Texturen aus, die von der Bildgebung selbst und dem betrachteten Gewebe abhängen. Als Textur wird die Zusammensetzung einer Region aus Texturprimitiven, sogenannten Texeln, und deren Anordnungsregeln bezeichnet. Merkmale von Texturen werden im Allgemeinen über Modelle, sogenannte Texturmodelle beschrieben. Konventionelle Texturmerkmale nach Haralick und Laws wurden den Merkmalen des entwickelten rotationsinvarianten Texturmodells in einer Untersuchung zur "Erkennung von Knochenkonturpixeln in zweidimensionalen Ultraschallbildern" gegenübergestellt. Bei dieser Untersuchung wurden Merkmale nach Haralick, Laws und des rotationsinvarianten Texturmodells abwechselnd mit einer sequenziellen und einer rangordnungsbasierten Merkmalsselektion sowie einem Bayes- und einem Support-Vector-Klassifikator kombiniert. Anhand von Bildmustern, die an einem humananatomischen Präparat aufgezeichnet und von einem Experten klassifiziert wurden, ließ sich die Effizienz der ausgewählten Komponenten überprüfen. Gefordert wurde, mindestens eine Richtigklassifikationsrate von 97% für die Muster der Klasse Gewebe (Spezifität ≥ 0,97) und von mindestens 50% für Muster der Klasse Knochen (Sensitivität > 0,50) zu erreichen. Die Ergebnisse bei der Erkennung von Knochenkonturpixeln in Ultraschallbildern haben gezeigt, dass die Klassifikation mit Merkmalen des entwickelten rotationsinvarianten Texturmodells, gegenüber den Methoden nach Haralick und Laws, insgesamt erfolgreicher ist. Die Extraktion von Merkmalen des rotationsinvarianten Texturmodells ist sogar entscheidend für die Erreichbarkeit der Forderungen. Erst durch Merkmale des entwickelten rotationsinvarianten Texturmodells werden die geforderten Klassifikationsraten erreicht (Spezifität = 0,971, Sensitivität = 0,520). Zudem wird nur eine geringe Anzahl von Merkmalen benötigt. Durch Hinzunahme weiterer Merkmale kann eine Klassifikationsrate über die Forderungen hinaus erfolgen (Spezifität = 0,971, Sensitivität = 0,633). Durch das Erfüllen der Forderungen konnte die Effektivität der Methode zur Erkennung von Knochenkonturpixeln gezeigt werden. Die geringe Anzahl an Merkmalen zeigt zudem die enorme Effizienz der vorgestellten Methode, was in der praktischen Anwendung zu einem reduzierten Rechenaufwand und somit zu einer verkürzten Rechenzeit bei der Klassifikation von Bildmustern führt.']] | ['2012'] | ['http://id.loc.gov/vocabulary/iso639-1/de'] | ['open access'] | [''] | ['gnd:4511937-5', 'https://www.tib.eu/de/suchen/id/TIBKAT%3A722146728'] | ['Online-Ressource'] | 11 |
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} | [] | [] | ['meda'] | ['Technische Informationsbibliothek (TIB)'] | [['(ppn)722146728', '(firstid)GBV:722146728']] | [''] | [['Image Analysis', 'Ultrasound Imaging', '(classificationName=ddc-dbn)610', 'Pattern Recognition', '(classificationName=linseach:mapping)inf', '(classificationName=linseach:mapping)meda', '(classificationName=ddc-dbn)004', 'Classification']] | ['Entwicklung und Evaluation eines rotationsinvarianten Texturmodells für die überwachte Bildmustererkennung'] | [['In this work a new rotation invariant texture model has been systematically developed and evaluated which allows us to distinguish structural features in image patterns intended for supervised pattern recognition. The components "feature", "feature selection" and "classifier" for a pattern recognition system can be selected in such a way as to be as efficient as possible, i.e. so that the quantitative demands for correct classification rates can be fulfilled with a minimum number of features. 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An expert classification of these datasets was given according to the demands of supervised pattern recognition. For the following automatic classification a classification rate of 97% for correctly identifying patterns belonging to class "tissue" (specificity ≥ 0.97) and at least 50% for correctly identifying patterns belonging to class "bone" (sensitivity > 0.50) was required. The results of the bony structure pixel identification show that a classification based on the features of the rotation invariant texture model has a higher success rate than the features described by Haralick and Laws. Extracting the features of the rotation invariant model is even crucial for achieving the required classification rates, i.e. the required classification rate can only be achieved using the characteristics of the rotation invariant texture model (specificity = 0.971, sensitivity = 0.520). In addition, only a comparatively small number of features are necessary to achieve the demanded classification rate. The quality of the classification can be further improved by increasing the number of used features (specificity = 0.971, sensitivity = 0.633). The effectiveness of the method described for identifying pixels belonging to bony structures was demonstrated by the fact that the proposed classification rate was achieved. Moreover, the small number of necessary features shows the high efficiency of the method as presented here. In a practical setting this reduces the required computational effort and thus leads to a lower computing time for image pattern classification.', 'In der vorliegenden Arbeit wurde ein rotationsinvariantes Texturmodell für eine Unterscheidung struktureller Merkmale in Bildmustern für die überwachte Bildmustererkennung systematisch entwickelt und evaluiert. Es wurde gezeigt, dass die Komponenten: Merkmale, Merkmalsselektionsmethoden und Klassifikator eines Mustererkennungssystems so gewählt werden können, dass dies möglichst "effizient" ist, d.h. quantitative Forderungen nach Richtigklassifikationsraten mit einer möglichst geringen Anzahl an Merkmalen erfüllt werden. Zweidimensionale Ultraschallbilder bilden charakteristische Texturen aus, die von der Bildgebung selbst und dem betrachteten Gewebe abhängen. Als Textur wird die Zusammensetzung einer Region aus Texturprimitiven, sogenannten Texeln, und deren Anordnungsregeln bezeichnet. Merkmale von Texturen werden im Allgemeinen über Modelle, sogenannte Texturmodelle beschrieben. Konventionelle Texturmerkmale nach Haralick und Laws wurden den Merkmalen des entwickelten rotationsinvarianten Texturmodells in einer Untersuchung zur "Erkennung von Knochenkonturpixeln in zweidimensionalen Ultraschallbildern" gegenübergestellt. Bei dieser Untersuchung wurden Merkmale nach Haralick, Laws und des rotationsinvarianten Texturmodells abwechselnd mit einer sequenziellen und einer rangordnungsbasierten Merkmalsselektion sowie einem Bayes- und einem Support-Vector-Klassifikator kombiniert. Anhand von Bildmustern, die an einem humananatomischen Präparat aufgezeichnet und von einem Experten klassifiziert wurden, ließ sich die Effizienz der ausgewählten Komponenten überprüfen. Gefordert wurde, mindestens eine Richtigklassifikationsrate von 97% für die Muster der Klasse Gewebe (Spezifität ≥ 0,97) und von mindestens 50% für Muster der Klasse Knochen (Sensitivität > 0,50) zu erreichen. Die Ergebnisse bei der Erkennung von Knochenkonturpixeln in Ultraschallbildern haben gezeigt, dass die Klassifikation mit Merkmalen des entwickelten rotationsinvarianten Texturmodells, gegenüber den Methoden nach Haralick und Laws, insgesamt erfolgreicher ist. Die Extraktion von Merkmalen des rotationsinvarianten Texturmodells ist sogar entscheidend für die Erreichbarkeit der Forderungen. Erst durch Merkmale des entwickelten rotationsinvarianten Texturmodells werden die geforderten Klassifikationsraten erreicht (Spezifität = 0,971, Sensitivität = 0,520). Zudem wird nur eine geringe Anzahl von Merkmalen benötigt. Durch Hinzunahme weiterer Merkmale kann eine Klassifikationsrate über die Forderungen hinaus erfolgen (Spezifität = 0,971, Sensitivität = 0,633). Durch das Erfüllen der Forderungen konnte die Effektivität der Methode zur Erkennung von Knochenkonturpixeln gezeigt werden. Die geringe Anzahl an Merkmalen zeigt zudem die enorme Effizienz der vorgestellten Methode, was in der praktischen Anwendung zu einem reduzierten Rechenaufwand und somit zu einer verkürzten Rechenzeit bei der Klassifikation von Bildmustern führt.']] | ['2012'] | ['http://id.loc.gov/vocabulary/iso639-1/de'] | ['open access'] | [''] | ['gnd:4511937-5', 'https://www.tib.eu/de/suchen/id/TIBKAT%3A722146728'] | ['Online-Ressource'] | 18 |
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} | ['gnd:4170394-7', 'gnd:4252995-5'] | ['Molekularelektronik', 'Rastertunnelmikroskopie'] | ['tec'] | ['Technische Informationsbibliothek (TIB)'] | [['(firstid)GBV:726171077', '(ppn)726171077']] | [''] | [['(classificationName=ddc-dbn)530', '(classificationName=bk, id=181570645)50.94 - Mikrosystemtechnik, Nanotechnologie', '(classificationName=linseach:mapping)tec']] | ['A step towards molecular electronics : the ferrocene molecule on a metal-semiconductor system'] | ['Scanning tunneling microscope (STM), metal-semiconductor systems, molecular electronics. - RasterTunnelMikroskop (RTM), Metall-Halbleiter Systeme, molekulare Elektronik'] | ['2012'] | ['http://id.loc.gov/vocabulary/iso639-1/en'] | ['commercial licence'] | [[{'@id': 'gnd:4170394-7'}, {'@id': 'gnd:4252995-5'}]] | ['gnd:4170394-7', 'gnd:4252995-5', 'https://www.tib.eu/de/suchen/id/TIBKAT%3A726171077'] | ['Molekularelektronik', 'Rastertunnelmikroskopie'] | 27 |
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