Дисертації з теми "Automatic distillation of structure"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся з топ-50 дисертацій для дослідження на тему "Automatic distillation of structure".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Переглядайте дисертації для різних дисциплін та оформлюйте правильно вашу бібліографію.
Takase, Hiroshi. "Systematic Structure Synthesis of Distillation-Based Separation Processes." Kyoto University, 2018. http://hdl.handle.net/2433/232063.
Повний текст джерелаLeThanh, Huong. "Automatic discourse structure generation using rhetorical structure theory." Thesis, Middlesex University, 2004. http://eprints.mdx.ac.uk/8002/.
Повний текст джерелаAlbaret, Christian. "Contribution à l'étude et à la commande des colonnes de distillation multiconstituants." Phd thesis, École Nationale Supérieure des Mines de Paris, 1992. http://pastel.archives-ouvertes.fr/pastel-00838235.
Повний текст джерелаLeitch, Megan. "Quantitative Structure-Flux Relationships of Membrane Distillation Materials for Water Desalination." Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/780.
Повний текст джерелаKaranikola, Vasiliki, Andrea F. Corral, Hua Jiang, A. Eduardo Sáez, Wendell P. Ela, and Robert G. Arnold. "Effects of membrane structure and operational variables on membrane distillation performance." ELSEVIER SCIENCE BV, 2017. http://hdl.handle.net/10150/623056.
Повний текст джерелаO'Hanlon, Ken. "Automatic music transcription using structure and sparsity." Thesis, Queen Mary, University of London, 2014. http://qmro.qmul.ac.uk/xmlui/handle/123456789/8818.
Повний текст джерелаDuchnowski, Paul. "A new structure for automatic speech recognition." Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/17333.
Повний текст джерелаIncludes bibliographical references (leaves 102-110).
by Paul Duchnowski.
Sc.D.
Schrimpf, Natalie Margaret. "Effects of Topic Structure on Automatic Summarization." Thesis, Yale University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10957338.
Повний текст джерелаAutomatic summarization involves finding the most important information in a text in order to create a reduced version of that text that conveys the same meaning as the original. In this dissertation, I present a method for using topic information to influence which content is selected for a summary.
This dissertation addresses questions such as how to represent the meaning of a document for automatic tasks. For tasks such as automatic summarization, there is a tradeoff between using sophisticated linguistic methods and using methods that can easily and efficiently be used by automatic systems. This research seeks to find a balance between these two goals by using linguistically-motivated methods that can be used to improve automatic summarization performance. Another question addressed in this work is the balance between summary coverage and length. A summary must be long enough to convey the information from the original text but short enough to be useful in place of the original document. This dissertation explores the use of topics to increase coverage while reducing redundancy.
There are several issues that affect summary quality. These include information coverage, redundancy, and coherence. This dissertation focuses on achieving coverage of all distinct concepts in a text by incorporating topic structure. During the summarization process, emphasis is placed on including information from all topics in order to produce summaries that cover the range of information present in the original documents. In this work, several notions of what constitutes a topic are explored, with particular focus on defining topics using information from Rhetorical Structure Theory (Mann and Thompson 1988). The results of incorporating topics into a summarization system show that topic structure improves automatic summarization performance.
The contributions of this dissertation include demonstrating that focusing on coverage of the different topics in a text improves summaries, and topic structure is an effective way to achieve this coverage. This research also shows the effectiveness of a simple modular method for incorporating topics into summarization that allows for comparison of different notions of topic and summarization techniques.
Murugesan, Viyash. "Optimization of Nanocomposite Membrane for Membrane Distillation." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/36534.
Повний текст джерелаHillard, Dustin Lundring. "Automatic sentence structure annotation for spoken language processing /." Thesis, Connect to this title online; UW restricted, 2008. http://hdl.handle.net/1773/6080.
Повний текст джерелаBrown, Matthew. "Automatic production of property structure from natural language." Thesis, University of Reading, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541981.
Повний текст джерелаGuo, Yufan. "Automatic analysis of information structure in biomedical literature." Thesis, University of Cambridge, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648829.
Повний текст джерелаConstantin, Alexandru. "Automatic structure and keyphrase analysis of scientific publications." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/automatic-structure-and-keyphrase-analysis-of-scientific-publications(2cfe0b83-5cbb-4305-942c-031945437056).html.
Повний текст джерелаAndroutsos, Panagiotis. "Automatic structure and fault detection of semiconductor micrograph images." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0005/MQ45981.pdf.
Повний текст джерелаNieto, Oriol. "Discovering structure in music| Automatic approaches and perceptual evaluations." Thesis, New York University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3705329.
Повний текст джерелаThis dissertation addresses the problem of the automatic discovery of structure in music from audio signals by introducing novel approaches and proposing perceptually enhanced evaluations. First, the problem of music structure analysis is reviewed from the perspectives of music information retrieval (MIR) and music perception and cognition (MPC), including a discussion of the limitations and current challenges in both disciplines. When discussing the existing methods of evaluating the outputs of algorithms that discover musical structure, a transparent open source software called mir eval, which contains implementations to these evaluations, is introduced. Then, four MIR algorithms are presented: one to compress music recordings into audible summaries, another to discover musical patterns from an audio signal, and two for the identification of the large-scale, non-overlapping segments of a musical piece. After discussing these techniques, and given the differences when perceiving the structure of music, the idea of applying more MPC-oriented approaches is considered to obtain perceptually relevant evaluations for music segmentation. A methodology to automatically obtain the most difficult tracks for machines to annotate is presented in order to include them in a design of a human study to collect multiple human annotations. To select these tracks, a novel open source framework called music structural analysis framework (MSAF) is introduced. This framework contains the most relevant music segmentation algorithms and it uses mir eval to transparently evaluate them. Moreover, MSAF makes use of the JSON annotated music specification (JAMS), a new format to contain multiple annotations for several tasks in a single file, which simplifies the dataset design and the analysis of agreement across different human references. The human study to collect additional annotations (which are stored in JAMS files) is described, where five new annotations for fifty tracks are stored. Finally, these additional annotations are analyzed, confirming the problem of having ground-truth datasets with a single annotator per track due to the high degree of disagreement among annotators for the challenging tracks. To alleviate this, these annotations are merged to produce a more robust human reference annotation. Lastly, the standard F-measure of the hit rate measure to evaluate music segmentation is analyzed when access to additional annotations is not possible, and it is shown, via multiple human studies, that precision seems more perceptually relevant than recall.
Nguyen, Nhat-Tan. "Automatic segmentation of the bony structure of the shoulder." Thesis, Université Laval, 2006. http://www.theses.ulaval.ca/2006/23644/23644.pdf.
Повний текст джерелаPoudyal, Prakash. "Automatic extraction and structure of arguments in legal documents." Doctoral thesis, Universidade de Évora, 2018. http://hdl.handle.net/10174/24848.
Повний текст джерелаEisenberg, Joshua Daniel. "Automatic Extraction of Narrative Structure from Long Form Text." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3912.
Повний текст джерелаGinsberg, David W. "Variable structure control systems." Master's thesis, University of Cape Town, 1989. http://hdl.handle.net/11427/18787.
Повний текст джерелаCorrado, Joseph R. "Robust fixed-structure controller synthesis." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/12945.
Повний текст джерелаKypuros, Javier Angel. "Variable structure model synthesis for switched systems /." Full text (PDF) from UMI/Dissertation Abstracts International, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3008373.
Повний текст джерелаFairley, Stuart Martin. "A stereo tracking and structure recovery system." Thesis, University of Oxford, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.670262.
Повний текст джерелаHu, Shiyan. "Automatic image analysis and structure segmentation for brain medial temporal lobe." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=119386.
Повний текст джерелаDans ce travail de thèse, deux nouvelles méthodes de segmentation automatique d'Image par Résonance Magnétique (IRM) sont proposées. Ces deux méthodes sont appliquées et validées dans le cadre de la segmentation des structures du lobe medio temporal du cerveau humain. La première méthode de segmentation proposée repose sur un modèle d'apparence de forme adaptatif utilisant simultanément plusieurs séquences d'IRM. Cette méthode combine des ensembles de niveaux et une modélisation d'apparence de formes actives tout en incorporant l'information issue de différents contrastes en IRM. L'importance de chaque séquence IRM est estimée automatiquement au sein d'un schéma adaptatif en utilisant la corrélation des différents contrastes avec les images synthétisées correspondantes. Ces images synthétisées sont construites par combinaison linéaire des images propres obtenues par Analyse en Composante Principale (ACP). Les paramètres du model de forme ainsi que les poids attribués à chaque contraste sont ensuite estimés itérativement via une minimisation pondérée des moindres carrés entre l'image test et l'image synthétisée. Finalement, les paramètres obtenus sont utilisés pour combiner les formes propres afin d'obtenir la segmentation finale. La méthode proposée est validée dans le contexte de la segmentation de deux structures cérébrales: l'hippocampe et l'amygdale. Lors de cette validation, l'amélioration de la qualité de segmentation apportée pour le schéma adaptatif, comparé à utilisation de poids identiques pour chaque contraste, est étudiée en utilisant l'index Kappa comme mesure de qualité. La deuxième méthode de segmentation proposée combine deux étapes: une initialisation globale par un modèle d'apparence de forme puis un raffinement local utilisant une approche par patches. Cette seconde étape tire avantage des performancesdes méthodes de type moyennes non locales qui estiment la similarité de deux échantillons en calculant la distance de niveau de gris de leur voisinage sous forme de patches. Dans l'approche proposée, le modèle d'apparence est destiné à obtenir rapidement une première estimation de la segmentation utilisée comme initialisation. Ensuite, le raffinement local par patches est appliqué uniquement sur un petit ensemble de voxels le long des bords de la segmentation initiale. Une validation est effectuée sur plusieurs structures du lobe medio temporal. Cette validation démontre l'intérêt de combiner les deux étapes décrites comparé à l'utilisation non conjointe de chacune des méthodes. Une étude volumétrique des structures du lobe medio temporale est menée à l'aide de la seconde méthode sur 306 sujets sains âgés de 4 à 18 ans. L'influence du sexe des sujets sur la croissance des structures est étudiée afin de permettre une meilleure compréhension des différences de maturation cérébrale et des phénomènes liés à la puberté. Le niveau de maturité sexuelle, mesuré à l'aide du score de la puberté, est utilisé afin de séparer la base de données en deux groupes: avant et pendant la puberté. Des changements liés à l'âge sont observés pour l'AG droite et gauche, l'HC droit et gauche, le CEP droit and le CPHC gauche. Ces changements sont statistiquement significatifs mais seulement avant la puberté. Pendant la puberté, l'augmentation du volume tend à être corrélé avec le niveau de maturité sexuel. En utilisant les volumes normalisés par la taille de la tête, des volumes plus faibles de l'HC droit et du CPHC droit et gauche sont observé pour les garçons les plus matures sexuellement et des volumes plus grands pour l'HC gauche sont obtenus pour les filles les plus matures sexuellement. Ces résultats sur la croissance des structures du lobe medio temporal selon le sexe et la maturité peuvent participer à l'amélioration de notre compréhension des différences observées entre le filles et le garçons durant la puberté au niveau de l'apprentissage, de la mémoire et des émotions.
Zhu, Gang. "A hybrid approach to the automatic planning of discourse structures." Thesis, University of Nottingham, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307811.
Повний текст джерелаHarju, Johansson Janne. "A structure utilizing inexact primal-dual interior-point method for analysis of linear differential inclusions /." Licentiate thesis, Linköping : Department of Electrical Engineering, Linköping University, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11791.
Повний текст джерелаChen, Zuolong. "Study on Structure and Vacuum Membrane Distillation Performance of PVDF Composite Membranes: Influence of Molecular Weight and Blending." Thèse, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/30677.
Повний текст джерелаFallqvist, Marcus. "Automatic Volume Estimation Using Structure-from-Motion Fused with a Cellphone's Inertial Sensors." Thesis, Linköpings universitet, Datorseende, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-144194.
Повний текст джерелаI rapporten framgår hur volymen av storskaliga objekt, nämligen grus-och stenhögar,kan bestämmas i utomhusmiljö med hjälp av en mobiltelefons kamerasamt interna sensorer som gyroskop och accelerometer. Projektet är beställt avEscenda Engineering med motivering att ersätta mer komplexa och resurskrävandesystem med ett enkelt handhållet instrument. Implementationen använderbland annat de vanligt förekommande datorseendemetoderna Kanade-Lucas-Tommasi-punktspårning, Struktur-från-rörelse och 3D-karvning tillsammans medenklare sensorfusion. I rapporten framgår att volymestimering är möjligt mennoggrannheten begränsas av sensorkvalitet och en bias.
Gómez-Mendoza, Juan Bernardo. "A contribution to mouth structure segmentation in images towards automatic mouth gesture recognition." Phd thesis, INSA de Lyon, 2012. http://tel.archives-ouvertes.fr/tel-00770660.
Повний текст джерелаHall, A. R. "Automatic speech recognition using morpheme structure rules for word hypothesis and dictionary generation." Thesis, London South Bank University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.352963.
Повний текст джерелаGomez, Ramirez Jorge Mario. "Optimisation numérique du fonctionnement, du dimensionnement et de la structure d'une colonne de distillation catalytique représentée par un modèle de transfert." Pau, 2005. http://www.theses.fr/2005PAUU3012.
Повний текст джерелаThe objective of this contribution is to propose a Mixed Integer Non Linear Programming (MINLP) formulation for optimal design of a catalytic distillation column based on a generic Non-Equilibrium Model (NEQ). The use of this NEQ model presents two main advantages: i) the computation of tray efficiencies is entirely avoided ii) the geometrical parameters of the column's hardware can be optimized. The minimization of the total annualized cost is submitted to three sets of constraints: the model equations, the product specification and the tray hydraulic equations. The solution strategy for the optimization uses a combination of Simulated Annealing and Sequential Quadratic Programming. Catalytic distillation of ETBE is considered as illustrative example. The results of the optimization are discussed. Pre and post optimal sensitivity analysis is also performed. According to our pilot plant design, the model relies on separation stages (trays) and reactive stages. The separation stages are cross flow sieve trays, of a single pass. In this work, the non-equilibrium model for the separation stages is based on of the works by Krishnamurthy and Taylor who presented a non-equilibrium model for a non-reactive distillation column. This model uses the two film theory and the heat and mass transfer coefficients to determine the flux at the interface (Integral NEQ model). For the optimization purposes, the Integral NEQ model is a good trade off between the complexity of the Differential NEQ model and the Equilibrium model
Inagaki, Yasuyoshi, Shigeki Matsubara, and Makoto Ohara. "AUTOMATIC EXTRACTION OF TRANSLATION PATTERNS FROM BILINGUAL LEGAL CORPUS." IEEE, 2003. http://hdl.handle.net/2237/15084.
Повний текст джерелаBixian, Luo, Luo Jian, and Zeng Wei. "THE GREAT FREQUENCY DEVIATION AUTOMATIC MEASURING OF TELEMETRY TRANSMITTER." International Foundation for Telemetering, 1999. http://hdl.handle.net/10150/606806.
Повний текст джерелаAt present, there is no means of instrument direct measurement to frequency deviation when it is up 500kHz. But the frequency deviation of high bit rate telemetry transmitter is 700kHz or more. In this paper, an indirect measurement method using spectrum analyzer and counter is put forward. It effectively solves the measurement problem of frequency deviation and frequency response of high bit rate telemetry transmitters. Measuring theory, summary of experiences and difficulties in measuring work, have been deeply studied with the viewpoint of how to avoid the limitation of different methods of measurement. Focused on the establishment of an automatic measuring system, expert system, skilled data and software of the system are studied in detail. The data for comparison is also supplied. Finally, the analysis to the measuring error and general uncertainty is given.
Marinov, Martin C. [Verfasser]. "Automatic generation of structure preserving models for computer aided geometric design / Martin Cvetanov Marinov." Aachen : Shaker, 2006. http://d-nb.info/999981455/34.
Повний текст джерелаLacson, Ronilda Covar 1968. "Automatic analysis of medical dialogue in the home hemodialysis domain : structure induction and summarization." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/34467.
Повний текст джерелаIncludes bibliographical references (p. 129-134).
Spoken medical dialogue is a valuable source of information, and it forms a foundation for diagnosis, prevention and therapeutic management. However, understanding even a perfect transcript of spoken dialogue is challenging for humans because of the lack of structure and the verbosity of dialogues. This work presents a first step towards automatic analysis of spoken medical dialogue. The backbone of our approach is an abstraction of a dialogue into a sequence of semantic categories. This abstraction uncovers structure in informal, verbose conversation between a caregiver and a patient, thereby facilitating automatic processing of dialogue content. Our method induces this structure based on a range of linguistic and contextual features that are integrated in a supervised machine-learning framework. Our model has a classification accuracy of 73%, compared to 33% achieved by a majority baseline (p<0.01). We demonstrate the utility of this structural abstraction by incorporating it into an automatic dialogue summarizer. Our evaluation results indicate that automatically generated summaries exhibit high resemblance to summaries written by humans and significantly outperform random selections (p<0.0001) in precision and recall.
(cont.) In addition, task-based evaluation shows that physicians can reasonably answer questions related to patient care by looking at the automatically-generated summaries alone, in contrast to the physicians' performance when they were given summaries from a naive summarizer (p<0.05). This is a significant result because it spares the physician from the need to wade through irrelevant material ample in dialogue transcripts. This work demonstrates the feasibility of automatically structuring and summarizing spoken medical dialogue.
by Ronilda Covar Lacson.
Ph.D.
Redmond, Brian L. "A workcell control and communications structure for the Georgia Institute of Technology Flexible Automation Laboratory." Thesis, Georgia Institute of Technology, 1986. http://hdl.handle.net/1853/18946.
Повний текст джерела羅普倫 and Po-lun Law. "Model-based variable-structure control of robot manipulators in joint space and in Cartesian space." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1995. http://hub.hku.hk/bib/B31212463.
Повний текст джерелаRomeo, Lauren Michele. "The Structure of the lexicon in the task of the automatic acquisition of lexical information." Doctoral thesis, Universitat Pompeu Fabra, 2015. http://hdl.handle.net/10803/325420.
Повний текст джерелаLa información de clase semántica de los nombres es fundamental para una amplia variedad de tareas del procesamiento del lenguaje natural (PLN), como la traducción automática, la discriminación de referentes en tareas como la detección y el seguimiento de eventos, la búsqueda de respuestas, el reconocimiento y la clasificación de nombres de entidades, la construcción y ampliación automática de ontologías, la inferencia textual, etc. Una aproximación para resolver la construcción y el mantenimiento de los léxicos de gran cobertura que alimentan los sistemas de PNL, una tarea muy costosa y lenta, es la adquisición automática de información léxica, que consiste en la inducción de una clase semántica relacionada con una palabra en concreto a partir de datos de su distribución obtenidos de un corpus. Precisamente, por esta razón, se espera que la investigación actual sobre los métodos para la producción automática de léxicos de alta calidad, con gran cantidad de información y con anotación de clase como el trabajo que aquí presentamos, tenga un gran impacto en el rendimiento de la mayoría de las aplicaciones de PNL. En esta tesis, tratamos la adquisición automática de información léxica como un problema de clasificación. Con este propósito, adoptamos métodos de aprendizaje automático para generar un modelo que represente los datos de distribución vectorial que, basados en ejemplos conocidos, permitan hacer predicciones de otras palabras desconocidas. Las principales preguntas de investigación que planteamos en esta tesis son: (i) si los datos de corpus proporcionan suficiente información para construir representaciones de palabras de forma eficiente y que resulten en decisiones de clasificación precisas y sólidas, y (ii) si la adquisición automática puede gestionar, también, los nombres polisémicos. Para hacer frente a estos problemas, realizamos una serie de validaciones empíricas sobre nombres en inglés. Nuestros resultados confirman que la información obtenida a partir de la distribución de los datos de corpus es suficiente para adquirir automáticamente clases semánticas, como lo demuestra un valor-F global promedio de 0,80 aproximadamente utilizando varios modelos de recuento de contextos y en datos de corpus de distintos tamaños. No obstante, tanto el estado de la cuestión como los experimentos que realizamos destacaron una serie de retos para este tipo de modelos, que son reducir la escasez de datos del vector y dar cuenta de la polisemia nominal en las representaciones distribucionales de las palabras. En este contexto, los modelos de word embedding (WE) mantienen la “semántica” subyacente en las ocurrencias de un nombre en los datos de corpus asignándole un vector. Con esta elección, hemos sido capaces de superar el problema de la escasez de datos, como lo demuestra un valor-F general promedio de 0,91 para las clases semánticas de nombres de sentido único, a través de una combinación de la reducción de la dimensionalidad y de números reales. Además, las representaciones de WE obtuvieron un rendimiento superior en la gestión de las ocurrencias asimétricas de cada sentido de los nombres de tipo complejo polisémicos regulares en datos de corpus. Como resultado, hemos podido clasificar directamente esos nombres en su propia clase semántica con un valor-F global promedio de 0,85. La principal aportación de esta tesis consiste en una validación empírica de diferentes representaciones de distribución utilizadas para la clasificación semántica de nombres junto con una posterior expansión del trabajo anterior, lo que se traduce en recursos léxicos y conjuntos de datos innovadores que están disponibles de forma gratuita para su descarga y uso.
Lexical semantic class information for nouns is critical for a broad variety of Natural Language Processing (NLP) tasks including, but not limited to, machine translation, discrimination of referents in tasks such as event detection and tracking, question answering, named entity recognition and classification, automatic construction and extension of ontologies, textual inference, etc. One approach to solve the costly and time-consuming manual construction and maintenance of large-coverage lexica to feed NLP systems is the Automatic Acquisition of Lexical Information, which involves the induction of a semantic class related to a particular word from distributional data gathered within a corpus. This is precisely why current research on methods for the automatic production of high- quality information-rich class-annotated lexica, such as the work presented here, is expected to have a high impact on the performance of most NLP applications. In this thesis, we address the automatic acquisition of lexical information as a classification problem. For this reason, we adopt machine learning methods to generate a model representing vectorial distributional data which, grounded on known examples, allows for the predictions of other unknown words. The main research questions we investigate in this thesis are: (i) whether corpus data provides sufficient distributional information to build efficient word representations that result in accurate and robust classification decisions and (ii) whether automatic acquisition can handle also polysemous nouns. To tackle these problems, we conducted a number of empirical validations on English nouns. Our results confirmed that the distributional information obtained from corpus data is indeed sufficient to automatically acquire lexical semantic classes, demonstrated by an average overall F1-Score of almost 0.80 using diverse count-context models and on different sized corpus data. Nonetheless, both the State of the Art and the experiments we conducted highlighted a number of challenges of this type of model such as reducing vector sparsity and accounting for nominal polysemy in distributional word representations. In this context, Word Embeddings (WE) models maintain the “semantics” underlying the occurrences of a noun in corpus data by mapping it to a feature vector. With this choice, we were able to overcome the sparse data problem, demonstrated by an average overall F1-Score of 0.91 for single-sense lexical semantic noun classes, through a combination of reduced dimensionality and “real” numbers. In addition, the WE representations obtained a higher performance in handling the asymmetrical occurrences of each sense of regular polysemous complex-type nouns in corpus data. As a result, we were able to directly classify such nouns into their own lexical-semantic class with an average overall F1-Score of 0.85. The main contribution of this dissertation consists of an empirical validation of different distributional representations used for nominal lexical semantic classification along with a subsequent expansion of previous work, which results in novel lexical resources and data sets that have been made freely available for download and use.
Almotiri, Jasem. "A Multi-Anatomical Retinal Structure Segmentation System for Automatic Eye Screening Using Morphological Adaptive Fuzzy Thresholding." Thesis, University of Bridgeport, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10975223.
Повний текст джерелаEye exam can be as efficacious as physical one in determining health concerns. Retina screening can be the very first clue to detecting a variety of hidden health issues including pre-diabetes and diabetes. Through the process of clinical diagnosis and prognosis; ophthalmologists rely heavily on the binary segmented version of retina fundus image; where the accuracy of segmented vessels, optic disc and abnormal lesions extremely affects the diagnosis accuracy which in turn affect the subsequent clinical treatment steps. This thesis proposes an automated retinal fundus image segmentation system composed of three segmentation subsystems follow same core segmentation algorithm. Despite of broad difference in features and characteristics; retinal vessels, optic disc and exudate lesions are extracted by each subsystem without the need for texture analysis or synthesis. For sake of compact diagnosis and complete clinical insight, our proposed system can detect these anatomical structures in one session with high accuracy even in pathological retina images.
The proposed system uses a robust hybrid segmentation algorithm combines adaptive fuzzy thresholding and mathematical morphology. The proposed system is validated using four benchmark datasets: DRIVE and STARE (vessels), DRISHTI-GS (optic disc), and DIARETDB1 (exudates lesions). Competitive segmentation performance is achieved, outperforming a variety of up-to-date systems and demonstrating the capacity to deal with other heterogenous anatomical structures.
Wang, Xuerui, and Li Zhao. "Navigation and Automatic Ground Mapping by Rover Robot." Thesis, Högskolan i Halmstad, Halmstad Embedded and Intelligent Systems Research (EIS), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-6185.
Повний текст джерелаNikolaus, Ulrich, and Julia Dobroschke. "Automatic conversion of PDF-based, layout-oriented typesetting data to DAISY: potentials and limitations." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-38042.
Повний текст джерелаMokdad, Ali G. "DEVELOPING TOOLS FOR RNA STRUCTURAL ALIGNMENT." Bowling Green State University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1143320655.
Повний текст джерелаShahaf, Dafna. "Automatic Generation of Issue Maps: Structured, Interactive Outputs for Complex Information Needs." Research Showcase @ CMU, 2012. http://repository.cmu.edu/dissertations/210.
Повний текст джерелаRadoux, Christopher John. "The automatic detection of small molecule binding hotspots on proteins : applying hotspots to structure-based drug design." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/275133.
Повний текст джерелаNikolaus, Ulrich, and Julia Dobroschke. "Automatic conversion of PDF-based, layout-oriented typesetting data to DAISY: potentials and limitations." Tagungsband zu: DAISY International Technical Conference : Barrierefreie Aufbereitung von Dokumenten, 21. - 27. September 2009, Leipzig/Germany. - Leipzig : DZB, 2009. - S. 115 - 127, 2009. https://slub.qucosa.de/id/qucosa%3A797.
Повний текст джерелаLind, Ingela. "Regressor and Structure Selection : Uses of ANOVA in System Identification." Doctoral thesis, Linköping : Linköpings universitet, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-7000.
Повний текст джерелаEscorcia, Gutierrez José. "Image Segmentation Methods for Automatic Detection of the Anatomical Structure of the Eye in People with Diabetic Retinopathy." Doctoral thesis, Universitat Rovira i Virgili, 2021. http://hdl.handle.net/10803/671543.
Повний текст джерелаEsta tesis se enmarca dentro del plan integral de prevención contra la Retinopatía Diabética (RD), ejecutado por el Gobierno de España alineado a las políticas de la Organización Mundial de la Salud para promover iniciativas que conciencien a la población con diabetes sobre la importancia de exámenes oculares de manera periódica. Para poder determinar el nivel de retinopatía diabética hace falta localizar e identificar diferentes tipos de lesiones en la retina. Para conseguirlo primero se han de eliminar de la imagen las estructures anatómicas normales del ojo (vasos sanguíneos, disco óptico y fóvea) para hacer visibles las anomalías. Esta tesis se ha centrado en este paso de limpieza de la imagen. En primer lugar, esta tesis propone un novedoso enfoque para la segmentación rápida y automática del disco óptico basado en la Teoría de Portafolio de Markowitz. En base a esta teoría se propone un innovador modelo de fusión de color capaz de soportar cualquier metodología de segmentación en el campo de las imágenes médicas. Este enfoque se estructura como una etapa de preprocesamiento potente y en tiempo real que podría integrarse en la práctica clínica diaria para acelerar el diagnóstico de RD debido a su simplicidad, rendimiento y velocidad. La segunda contribución de esta tesis es un método para segmentar simultáneamente los vasos sanguíneos y detectar la zona avascular foveal, reduciendo considerablemente el tiempo de procesamiento para tal tarea. Adicionalmente, la primera componente del espacio de color xyY (que representa los valores de crominancia) es la que predomina del estudio de las diferentes componentes de color realizado en esta tesis para la segmentación de vasos sanguíneos y la detección de la fóvea. Finalmente, se propone una recolección automática de muestras para interpolarlas basadas en la información estadística de color y que a su vez son la base del algoritmo Convexity Shape Prior. La tesis también propone otro método de segmentación de vasos sanguíneos basado en una selección efectiva de características soportada en árboles de decisión. Se ha conseguido encontrar las 5 características más relevantes para la segmentación de estas estructuras oculares. La validación utilizando tres técnicas de clasificación (árbol de decisión, red neuronal artificial y máquina de soporte vectorial).
This thesis is framed within the comprehensive plan for early prevention of Diabetic Retinopathy (DR) launched by the Spain government following the World Health Organization to promote initiatives that raise awareness of the importance of regular eye exams among people with diabetes. To determine the level of diabetic retinopathy, we need to find and identify different types of lesions in the eye fundus. First, the normal anatomic structures of the eye (blood vessels, optic disc and fovea) must be removed from the image, in order to make visible the abnormalities. This thesis has focused on this step of image cleaning. This thesis proposes a novel framework for fast and fully automatic optic disc segmentation based on Markowitz's Modern Portfolio Theory to generate an innovative color fusion model capable of admitting any segmentation methodology in the medical imaging field. This approach acts as a powerful and real-time pre-processing stage that could be integrated into daily clinical practice to accelerate the diagnosis of DR due to its simplicity, performance, and speed. This thesis's second contribution is a method to simultaneously make a blood vessel segmentation and foveal avascular zone detection, considerably reducing the required image processing time. In addition, the first component of the xyY color space representing the chrominance values is the most supported according to the approach developed in this thesis for blood vessel segmentation and fovea detection. Finally, several samples are collected for a color interpolation procedure based on statistic color information and are used by the well-known Convexity Shape Prior segmentation algorithm. The thesis also proposes another blood vessel segmentation method that relies on an effective feature selection based on decision tree learning. This method is validated using three different classification techniques (i.e., Decision Tree, Artificial Neural Network, and Support Vector Machine).
Garimella, Srinivas Murthy Stroud Charles E. "Built-in self test for regular structure embedded cores in system-on-chip." Auburn, Ala., 2005. http://repo.lib.auburn.edu/EtdRoot/2005/SPRING/Electrical_and_Computer_Engineering/Thesis/GARIMELLA_SRINIVAS_32.pdf.
Повний текст джерелаBouchigny, Sylvain. "Développement d'une cible polarisée de pur HD : Analyse et distillation du HD Diffusion compton virtuelle résonante sur le nucléon à TJNAF." Phd thesis, Université Paris Sud - Paris XI, 2004. http://tel.archives-ouvertes.fr/tel-00008119.
Повний текст джерелаStuckner, Joshua Andrew. "Investigating the origin of localized plastic deformation in nanoporous gold by in situ electron microscopy and automatic structure quantification." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/100733.
Повний текст джерелаDoctor of Philosophy
Peldszus, Andreas [Verfasser], Manfred [Akademischer Betreuer] Stede, Manfred [Gutachter] Stede, and Chris [Gutachter] Reed. "Automatic recognition of argumentation structure in short monological texts / Andreas Peldszus ; Gutachter: Manfred Stede, Chris Reed ; Betreuer: Manfred Stede." Potsdam : Universität Potsdam, 2018. http://d-nb.info/1218404221/34.
Повний текст джерела