811 resultados para Database, Image Retrieval, Browsing, Semantic Concept
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The Final Graduation submitted to qualify for the degree of Bachelor of Library and Information Science, with the title: Old National Bibliographical Books from 1830 to 1900 for the National Library of Costa Rica "Miguel Obregon Lizano," has raised the following objectives general: Identify, create a computerized catalog and investigate policies of conservation, preservation and loan in order to facilitate access and information retrieval, and dissemination of books published between 1830 to 1900 by a CDROM.According to the above objectives are to identify, select and separate, and integrate the National Bibliographical Old Books from 1830 to 1900, under investigation, determined in accordance with this study, a pioneer in the creation of bibliographic old in the National Library of Costa Rica "Miguel Obregon Lizano," a valuable amount of documents, which are not always available to (as) students (as), for lack of disclosure or because they are not represented in catalogs, consistent with recent technology dictates.According to research, it is considered that there is a lack of old collections, and therefore, the concept, organization and creation of such funds, reason leads them to testify that this would be one of the first forays into this subject, and thus, a great contribution to the National Library and for the field of librarianship and the country at large, as it has managed to create a source of access to information for the service (as) users (as): researchers (as), historians (as), anthropologists (as), and the community at large. Therefore, the fundamental purpose of this study the unquestionable usefulness of Old National Bibliographical Books for (as) users (as) researchers (as) of the National Library.
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Humans have a high ability to extract visual data information acquired by sight. Trought a learning process, which starts at birth and continues throughout life, image interpretation becomes almost instinctively. At a glance, one can easily describe a scene with reasonable precision, naming its main components. Usually, this is done by extracting low-level features such as edges, shapes and textures, and associanting them to high level meanings. In this way, a semantic description of the scene is done. An example of this, is the human capacity to recognize and describe other people physical and behavioral characteristics, or biometrics. Soft-biometrics also represents inherent characteristics of human body and behaviour, but do not allow unique person identification. Computer vision area aims to develop methods capable of performing visual interpretation with performance similar to humans. This thesis aims to propose computer vison methods which allows high level information extraction from images in the form of soft biometrics. This problem is approached in two ways, unsupervised and supervised learning methods. The first seeks to group images via an automatic feature extraction learning , using both convolution techniques, evolutionary computing and clustering. In this approach employed images contains faces and people. Second approach employs convolutional neural networks, which have the ability to operate on raw images, learning both feature extraction and classification processes. Here, images are classified according to gender and clothes, divided into upper and lower parts of human body. First approach, when tested with different image datasets obtained an accuracy of approximately 80% for faces and non-faces and 70% for people and non-person. The second tested using images and videos, obtained an accuracy of about 70% for gender, 80% to the upper clothes and 90% to lower clothes. The results of these case studies, show that proposed methods are promising, allowing the realization of automatic high level information image annotation. This opens possibilities for development of applications in diverse areas such as content-based image and video search and automatica video survaillance, reducing human effort in the task of manual annotation and monitoring.
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Tese (doutorado)—Universidade de Brasília, Instituto de Ciências Humanas, Departamento de Geografia, Programa de Pós Graduação em Geografia, 2015.
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OBJECTIVES: Due to the high prevalence of renal failure in transcatheter aortic valve replacement (TAVR) candidates, a non-contrast MR technique is desirable for pre-procedural planning. We sought to evaluate the feasibility of a novel, non-contrast, free-breathing, self-navigated three-dimensional (SN3D) MR sequence for imaging the aorta from its root to the iliofemoral run-off in comparison to non-contrast two-dimensional-balanced steady-state free-precession (2D-bSSFP) imaging. METHODS: SN3D [field of view (FOV), 220-370 mm(3); slice thickness, 1.15 mm; repetition/echo time (TR/TE), 3.1/1.5 ms; and flip angle, 115°] and 2D-bSSFP acquisitions (FOV, 340 mm; slice thickness, 6 mm; TR/TE, 2.3/1.1 ms; flip angle, 77°) were performed in 10 healthy subjects (all male; mean age, 30.3 ± 4.3 yrs) using a 1.5-T MRI system. Aortic root measurements and qualitative image ratings (four-point Likert-scale) were compared. RESULTS: The mean effective aortic annulus diameter was similar for 2D-bSSFP and SN3D (26.7 ± 0.7 vs. 26.1 ± 0.9 mm, p = 0.23). The mean image quality of 2D-bSSFP (4; IQR 3-4) was rated slightly higher (p = 0.03) than SN3D (3; IQR 2-4). The mean total acquisition time for SN3D imaging was 12.8 ± 2.4 min. CONCLUSIONS: Our results suggest that a novel SN3D sequence allows rapid, free-breathing assessment of the aortic root and the aortoiliofemoral system without administration of contrast medium. KEY POINTS: • The prevalence of renal failure is high among TAVR candidates. • Non-contrast 3D MR angiography allows for TAVR procedure planning. • The self-navigated sequence provides a significantly reduced scanning time.
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El objetivo general de esta investigación consiste en sacar a la luz un conjunto de documentos, los documentos de patentes presentadas en España, sobre un tema concreto, la bicicleta y el ciclismo, y durante un periodo determinado, 1826-1929, presentes en la Oficina Española de Patentes y Marcas (OEPM), organizando esta documentación para su posterior utilización por la comunidad científica. Para ello se han identificado y sistematizado las patentes referidas a la bicicleta, presentadas entre 1826 y 1929, realizando tablas de frecuencia que permitan extraer datos de su incidencia en la invención en el periodo considerado. Ello ha permitido conocer una serie de datos de los inventores, que, en definitiva son los creadores del desarrollo tecnológico en este campo, extrayendo, ordenando y categorizando la información sobre lugar de origen, tipo de inventor (empresa o particular), sexo, práctica de colaboración y profesión. Finalmente se ha estudiado el tipo de inventos, mostrando los sectores en los que se producen las invenciones, identificando si se han puesto en práctica, y determinando aspectos tales como su carácter de invención incremental, su posible consideración como invento raro y curioso, y su coexistencia con una marca registrada. El trabajo se inicia con la introducción seguida de un apartado en el que se presenta el marco teórico en el que se desarrolla la investigación, en una doble vía: en primer lugar el contexto de los documentos de patente, su relación con la innovación y su utilidad como fuentes de información, y en segundo lugar el marco de la invención en el ciclismo, presentando las fases esenciales de la evolución de la bicicleta (capítulo 2). En el marco metodológico (capítulo 3) se explican fuentes y metodología, presentando a continuación el diseño de la investigación, que se resume como sigue: 1- Determinación del universo de datos, 2- Consulta en el Archivo Histórico de la OEPM, 3- Diseño y creación de la base de datos propia, 4- Consulta de los expedientes y toma de imágenes, 5- Tratamiento y análisis de los datos, 6- Búsqueda de información en fuentes para patentes extranjeras, y 7- Consulta a la base de datos de Marcas de la OEPM. El capítulo 4 está dedicado a la investigación propiamente dicha, estructurado en tres grandes bloques. El primero recoge las cuantificaciones tabuladas del total de patentes y el análisis de determinados aspectos generales como la cronología de la invención y diversas comparaciones con resultados obtenidos en otros trabajos. El segundo bloque está centrado en los estudios de solicitantes de patentes, protagonistas de las invenciones. De ellos se contemplan una serie de datos extraídos de los expedientes, y posteriormente tabulados y cuantificados: su procedencia geográfica, su adscripción como empresas o solicitantes particulares, y sus datos de colaboración, finalizando el bloque con un apartado que dedicamos a la innovación femenina, que consideramos una línea de investigación interés. El tercer bloque, el más amplio de todos, está dedicado a la descripción y análisis de los datos referidos a los propios inventos, puesto que es la aplicación de los inventos lo que marca el desarrollo tecnológico de la máquina bicicleta, y su consiguiente evolución histórica y social. Se estructura asimismo en varias secciones. La primera es la más amplia, donde se muestran y explican los datos que tienen que ver con la adscripción de los inventos a sectores temáticos, es decir, que desarrolla las funciones o componentes de la bicicleta que han sido objeto de invención. Los apartados siguientes muestran datos y consideraciones sobre las patentes puestas en práctica, las invenciones incrementales, los inventos curiosos, y las patentes con posible marca registrada de su nombre. Finalmente, las conclusiones del estudio, el establecimiento de posibles líneas abiertas de investigación, la relación de fuentes consultadas y los anexos cerrarán la exposición de esta tesis. ABSTRACT The main goal of this research thesis is to shed light on a specific documentary record: patents presented in Spain, regarding a specific theme: bicycles and cycling, within a given period: 1826-1929. This record is organized for the ulterior use by the scientific community. In order to carry out this goal, the mentioned patents have been identified and systematized, and analyzed for frequency in order to infer the incidence of its invention in the period under consideration. This has brought to light some information on the inventors which are, after all, the creators in the technological development of that field. Their bibliographical information: origin, type of inventor (company or individual), gender, collaboration behavior and profession. Finally, the type of inventions has been studied, showing the sectors in which inventions are produced, whether these were transferred to practice, and other key information like the incremental nature of their invention, their possible consideration as ‘rare or curious invention’, and their coexistence with a registered trademark. This thesis is organized with an initial introduction, after which a section outlines the theoretical framework for the research along two axes: first the context of the patent documents, their relation with innovation and their usefulness as information sources; second, the invention of cycling and the development phases of bicycles. In the methodological section the sources and methodology are explained and reasoned, followed by the research design: 1-determination of the data universe, 2-consultation at the historical archive of the OEPM (National Patent Office), 3-design and creation of a database, 3-analysis of the files and image catchment, 5-treatment and analysis of data, 6-browsing of source information for foreign patents, and 7-consultation of the trademark information at the OEPM. Chapter 4 is dedicated to research itself, in three main sections. The first one has the quantification of the patent total in tables and the analysis of specific overall chronological aspects of the invention, and some comparisons with the results obtained in other research. The second section is centered on the studies of patent requests and inventors. Some data extracted from the files has been systematized: geographical origin, adscriptions as companies or individuals, and their collaboration data, ending with a sub-section on women’s invention, which we consider an interesting research line. The third section, the biggest one of them all, is dedicated to the description and analysis of the data referred to the inventions themselves, because it is the application of the inventions which constitutes the technological development of the bicycle, and therefore its historical and social evolution. It is also structured in various sub-sections. The first one is the longest one, with information regarding the thematic typology of the inventions: functions and bicycle components which are innovated. The other ensuing subsections study patents which were actually incorporated and used, incremental inventions, curious inventions and patents with possible associated trademarks. Finally, the study conclusions, the establishment of lines of potential further research, the references used, and the annexes which culminate the thesis exposition.
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Overrecentdecades,remotesensinghasemergedasaneffectivetoolforimprov- ing agriculture productivity. In particular, many works have dealt with the problem of identifying characteristics or phenomena of crops and orchards on different scales using remote sensed images. Since the natural processes are scale dependent and most of them are hierarchically structured, the determination of optimal study scales is mandatory in understanding these processes and their interactions. The concept of multi-scale/multi- resolution inherent to OBIA methodologies allows the scale problem to be dealt with. But for that multi-scale and hierarchical segmentation algorithms are required. The question that remains unsolved is to determine the suitable scale segmentation that allows different objects and phenomena to be characterized in a single image. In this work, an adaptation of the Simple Linear Iterative Clustering (SLIC) algorithm to perform a multi-scale hierarchi- cal segmentation of satellite images is proposed. The selection of the optimal multi-scale segmentation for different regions of the image is carried out by evaluating the intra- variability and inter-heterogeneity of the regions obtained on each scale with respect to the parent-regions defined by the coarsest scale. To achieve this goal, an objective function, that combines weighted variance and the global Moran index, has been used. Two different kinds of experiment have been carried out, generating the number of regions on each scale through linear and dyadic approaches. This methodology has allowed, on the one hand, the detection of objects on different scales and, on the other hand, to represent them all in a sin- gle image. Altogether, the procedure provides the user with a better comprehension of the land cover, the objects on it and the phenomena occurring.
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The new generation of artificial satellites is providing a huge amount of Earth observation images whose exploitation can report invaluable benefits, both economical and environmental. However, only a small fraction of this data volume has been analyzed, mainly due to the large human resources needed for that task. In this sense, the development of unsupervised methodologies for the analysis of these images is a priority. In this work, a new unsupervised segmentation algorithm for satellite images is proposed. This algorithm is based on the rough-set theory, and it is inspired by a previous segmentation algorithm defined in the RGB color domain. The main contributions of the new algorithm are: (i) extending the original algorithm to four spectral bands; (ii) the concept of the superpixel is used in order to define the neighborhood similarity of a pixel adapted to the local characteristics of each image; (iii) and two new region merged strategies are proposed and evaluated in order to establish the final number of regions in the segmented image. The experimental results show that the proposed approach improves the results provided by the original method when both are applied to satellite images with different spectral and spatial resolutions.
URIs and Intertextuality: Incumbent Philosophical Commitments in the Development of the Semantic Web
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Examines two commitments inherent in Resource Description Framework (RDF): intertextuality and rationalism. After introducing how rationalism has been studied in knowledge organization, this paper then introduces the concept of bracketed-rationalism. This paper closes with a discussion of ramifications of intertextuality and bracketed rationalism on evaluation of RDF.
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Many years have passed since Berners-Lee envi- sioned the Web as it should be (1999), but still many information professionals do not know their precise role in its development, especially con- cerning ontologies –considered one of its main elements. Why? May it still be a lack of under- standing between the different academic commu- nities involved (namely, Computer Science, Lin- guistics and Library and Information Science), as reported by Soergel (1999)? The idea behind the Semantic Web is that of several technologies working together to get optimum information re- trieval performance, which is based on proper resource description in a machine-understandable way, by means of metadata and vocabularies (Greenberg, Sutton and Campbell, 2003). This is obviously something that Library and Information Science professionals can do very well, but, are we doing enough? When computer scientists put on stage the ontology paradigm they were asking for semantically richer vocabularies that could support logical inferences in artificial intelligence as a way to improve information retrieval systems. Which direction should vocabulary development take to contribute better to that common goal? The main objective of this paper is twofold: 1) to identify main trends, issues and problems con- cerning ontology research and 2) to identify pos- sible contributions from the Library and Information Science area to the development of ontologies for the semantic web. To do so, our paper has been structured in the following manner. First, the methodology followed in the paper is reported, which is based on a thorough literature review, where main contributions are analysed. Then, the paper presents a discussion of the main trends, issues and problems concerning ontology re- search identified in the literature review. Recom- mendations of possible contributions from the Library and Information Science area to the devel- opment of ontologies for the semantic web are finally presented.
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This paper describes a conceptual framework and meth- odology for managing scheme versioning for the Semantic Web. The first part of the paper introduces the concept of vocabulary encoding schemes, distinguished from metadata schemas, and discusses the characteristics of changes in schemes. The paper then presents a proposal to use a value record–similar to a term record in thesaurus management techniques–to manage scheme versioning challenges for the Semantic Web. The con-clusion identifies future research directions.
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In this article, we describe the development of an exten- sion to the Simple Knowledge Organization System (SKOS) to accommodate the needs of vocabulary devel- opment applications (VDA) managing metadata schemes and requiring close tracking of change to both those schemes and their member concepts. We take a neo- pragmatic epistemic stance in asserting the need for an entity in SKOS modeling to mediate between the abstract concept and the concrete scheme. While the SKOS model sufficiently describes entities for modeling the current state of a scheme in support of indexing and search on the Semantic Web, it lacks the expressive power to serve the needs of VDA needing to maintain scheme historical continuity. We demonstrate prelimi- narily that conceptualizations drawn from empirical work in modeling entities in the bibliographic universe, such as works, texts, and exemplars, can provide the basis for SKOS extension in ways that support more rig- orous demands of capturing concept evolution in VDA.
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Conventional web search engines are centralised in that a single entity crawls and indexes the documents selected for future retrieval, and the relevance models used to determine which documents are relevant to a given user query. As a result, these search engines suffer from several technical drawbacks such as handling scale, timeliness and reliability, in addition to ethical concerns such as commercial manipulation and information censorship. Alleviating the need to rely entirely on a single entity, Peer-to-Peer (P2P) Information Retrieval (IR) has been proposed as a solution, as it distributes the functional components of a web search engine – from crawling and indexing documents, to query processing – across the network of users (or, peers) who use the search engine. This strategy for constructing an IR system poses several efficiency and effectiveness challenges which have been identified in past work. Accordingly, this thesis makes several contributions towards advancing the state of the art in P2P-IR effectiveness by improving the query processing and relevance scoring aspects of a P2P web search. Federated search systems are a form of distributed information retrieval model that route the user’s information need, formulated as a query, to distributed resources and merge the retrieved result lists into a final list. P2P-IR networks are one form of federated search in routing queries and merging result among participating peers. The query is propagated through disseminated nodes to hit the peers that are most likely to contain relevant documents, then the retrieved result lists are merged at different points along the path from the relevant peers to the query initializer (or namely, customer). However, query routing in P2P-IR networks is considered as one of the major challenges and critical part in P2P-IR networks; as the relevant peers might be lost in low-quality peer selection while executing the query routing, and inevitably lead to less effective retrieval results. This motivates this thesis to study and propose query routing techniques to improve retrieval quality in such networks. Cluster-based semi-structured P2P-IR networks exploit the cluster hypothesis to organise the peers into similar semantic clusters where each such semantic cluster is managed by super-peers. In this thesis, I construct three semi-structured P2P-IR models and examine their retrieval effectiveness. I also leverage the cluster centroids at the super-peer level as content representations gathered from cooperative peers to propose a query routing approach called Inverted PeerCluster Index (IPI) that simulates the conventional inverted index of the centralised corpus to organise the statistics of peers’ terms. The results show a competitive retrieval quality in comparison to baseline approaches. Furthermore, I study the applicability of using the conventional Information Retrieval models as peer selection approaches where each peer can be considered as a big document of documents. The experimental evaluation shows comparative and significant results and explains that document retrieval methods are very effective for peer selection that brings back the analogy between documents and peers. Additionally, Learning to Rank (LtR) algorithms are exploited to build a learned classifier for peer ranking at the super-peer level. The experiments show significant results with state-of-the-art resource selection methods and competitive results to corresponding classification-based approaches. Finally, I propose reputation-based query routing approaches that exploit the idea of providing feedback on a specific item in the social community networks and manage it for future decision-making. The system monitors users’ behaviours when they click or download documents from the final ranked list as implicit feedback and mines the given information to build a reputation-based data structure. The data structure is used to score peers and then rank them for query routing. I conduct a set of experiments to cover various scenarios including noisy feedback information (i.e, providing positive feedback on non-relevant documents) to examine the robustness of reputation-based approaches. The empirical evaluation shows significant results in almost all measurement metrics with approximate improvement more than 56% compared to baseline approaches. Thus, based on the results, if one were to choose one technique, reputation-based approaches are clearly the natural choices which also can be deployed on any P2P network.
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Los estudios acerca del concepto actividad física (AF) son diversos, presentando diferentes concepciones; su relación con calidad de vida suele estar generada dentro del discurso médico, que propende por la ejecución de la Actividad Física desde una mirada netamente biológica. Si bien esta disertación es importante, se debe tener en cuenta que los estudios relacionados con calidad de vida y la AF se basan en la condición de bienestar y percepción frente al estado de salud; dichos estudios no se han realizado desde las condiciones de vida y del contexto social. Si bien es cierto que la mirada médica y lo estudios objetivos son relevantes, ya que arrojan estadísticas que permiten abordar recomendaciones en cuanto a la actividad física, en este documento se elaboró una investigación de tipo cualitativo por medio de la revisión documental del concepto de actividad física, sus prácticas y su relación con calidad de vida, que abordan diferentes autores. Para ello se elige la base de datos PubMed por su énfasis en las publicaciones de salud; se seleccionan artículos publicados del 2004 y 2014, que estudien el concepto de actividad física, sus prácticas y relaciones con calidad de vida, para finalmente hacer un análisis desde los modelos de determinación y determinantes sociales. De esta forma se analiza la posición de los autores con respecto al concepto, sus prácticas y las relaciones que puede llegar a surgir con la calidad de vida. En esta investigación se obtuvo como resultados tendencias biológicas, psicológicas, sociales y culturales, en los cuales los autores dejan clara la posición médica ya que en la mayoría de investigaciones centran sus relaciones en la funcionalidad, y es a través de la visión terapéutica donde buscan el bienestar, la satisfacción de los pacientes que padecen cualquier enfermedad. Además, aparecen categorías emergentes como: cuerpo como medio de publicidad, cibernética que avanza vertiginosamente y el papel del poder en la actividad física que pueden ser contempladas para otros estudios.