1,720,985 research outputs found
Implementación operativa de un pronóstico numérico de alta resolución del laboratorio de hidráulica
Full text linkFil: Lighezzolo, Andrés. CONAE. Córdoba; Argentina.Fil: Nievas Lio, Estefanía. Universidad Nacional de Córdoba; Argentina.Fil: Zigarán, Gonzalo. Universidad Nacional de Córdoba; Argentina.Fil: Asinari, Iván. Universidad Nacional de Córdoba; Argentina.Fil: Montamat, Ignacio. Universidad Nacional de Córdoba; Argentina.Fil: Martina, Agustín. Universidad Nacional de Córdoba; Argentina.Fil: Saffe, Jorge. Universidad Nacional de Córdoba; Argentina.Fil: Pérez Hortal, Andrés. McGill University. Montreal; Canadá.Fil: Scavuzzo, Marcelo. CONAE. Córdoba; Argentina.Fil: Rodriguez, Andrés. Universidad Nacional de Córdoba; Argentina.El presente trabajo documenta la implementación del sistema de pronóstico de alta resolución en el Laboratorio
de Hidráulica de la Universidad Nacional de Córdoba. Dicha implementación se lleva a cabo dentro del marco de
la puesta en marcha del Centro de Operaciones y Emergencias Hidrometeorológicas (COEH) para la región
centro del País.Fil: Lighezzolo, Andrés. CONAE. Córdoba; Argentina.Fil: Nievas Lio, Estefanía. Universidad Nacional de Córdoba; Argentina.Fil: Zigarán, Gonzalo. Universidad Nacional de Córdoba; Argentina.Fil: Asinari, Iván. Universidad Nacional de Córdoba; Argentina.Fil: Montamat, Ignacio. Universidad Nacional de Córdoba; Argentina.Fil: Martina, Agustín. Universidad Nacional de Córdoba; Argentina.Fil: Saffe, Jorge. Universidad Nacional de Córdoba; Argentina.Fil: Pérez Hortal, Andrés. McGill University. Montreal; Canadá.Fil: Scavuzzo, Marcelo. CONAE. Córdoba; Argentina.Fil: Rodriguez, Andrés. Universidad Nacional de Córdoba; Argentina.Otras Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Informació
A new approach to segmentation of remote sensing images with Hidden Markov Models
Full text linkFil: Baumgartner, Josef. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Laboratorio de Investigación Matemática Aplicada a Control; Argentina.Fil: Scavuzzo, Marcelo. Comision Nacional de Actividades Espaciales; Argentina.Fil: Rodríguez Rivero, Cristian. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Laboratorio de Investigación Matemática Aplicada a Control; Argentina.Fil: Pucheta, Julián. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Laboratorio de Investigación Matemática Aplicada a Control; Argentina.In this work, we present a new segmentation algorithm for remote sensing images based on two-dimensional Hidden Markov Models (2D-HMM). In contrast to most 2D-HMM approaches, we do not use Viterbi Training, instead we propose to propagate the state probabilities through the image. Therefore, we denote our algorithm Complete Enumeration Propagation (CEP). To evaluate the performance of CEP, we compare it to the standard 2D-HMM approach called Path Constrained Viterbi Training (PCVT).
As both algorithms are not restricted to a certain emission probability, we evaluate the performance of seven probability
functions, namely Gamma, Generalized Extreme Value, inverse Gaussian, Logistic, Nakagami, Normal and Weibull.
The experimental results show that our approach outperforms PCVT and other benchmark algorithms. Furthermore, we
show that the choice of the probability distribution is crucial for many segmentation tasks.http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6868456Fil: Baumgartner, Josef. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Laboratorio de Investigación Matemática Aplicada a Control; Argentina.Fil: Scavuzzo, Marcelo. Comision Nacional de Actividades Espaciales; Argentina.Fil: Rodríguez Rivero, Cristian. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Laboratorio de Investigación Matemática Aplicada a Control; Argentina.Fil: Pucheta, Julián. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Laboratorio de Investigación Matemática Aplicada a Control; Argentina.Sistemas de Automatización y Contro
Mapeo y evaluación del riesgo de incendio en la interfase urbano-rural de las sierras de Córdoba
Full text linkFil: Argañaraz, Juan P. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Diversidad y Ecología Animal; Argentina.Fil: Radeloff, Volker. University of Wisconsin-Madison. Department of Forest and Wildlife Ecology; Estados Unidos.Fil: Bar-Massada, Avi. University of Haifa at Oranim. Department of Biology and Environment; Israel.Fil: Gavier, Gregorio. Instituto Nacional de Tecnología Agropecuaria; Argentina.Fil: Gavier, Gregorio. Instituto de Recursos Biológicos; Argentina.Fil: Gavier, Gregorio. Centro de Investigación en Recursos Naturales; ArgentinaFil: Scavuzzo, Marcelo. Comisión Nacional de Actividades Espaciales; Argentina.Fil: Bellis, Laura M. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Diversidad y Ecología Animal; Argentina.El objetivo de este trabajo fue elaborar un mapa de Interfase Urbano-Rural (IUR) para las Sierras Chicas de la provincia de Córdoba. Se utilizó un método de mapeo basado en la localización de las edificaciones y la disponibilidad de vegetación combustible. Se trabajó sobre una capa raster base (10 x 10 m) y para cada píxel se calculó la densidad de edificaciones en una circunferencia de 500 m de radio, utilizando una ventana móvil. La IUR ocupa el 14,8% del área de estudio. Sin embargo, alberga 143.700 viviendas, lo que representa el 52% de la totalidad de las edificaciones del área de estudio. Asimismo, 6.769 viviendas se ubicaron en áreas que sufrieron incendios entre 1999 y 2011, de las cuales el 63% se ubicó en áreas de IUR. Por tal motivo, es imprescindible adoptar medidas de manejo destinadas a minimizar el riesgo y planificar el desarrollo urbanístico futuro.Fil: Argañaraz, Juan P. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Diversidad y Ecología Animal; Argentina.Fil: Radeloff, Volker. University of Wisconsin-Madison. Department of Forest and Wildlife Ecology; Estados Unidos.Fil: Bar-Massada, Avi. University of Haifa at Oranim. Department of Biology and Environment; Israel.Fil: Gavier, Gregorio. Instituto Nacional de Tecnología Agropecuaria; Argentina.Fil: Gavier, Gregorio. Instituto de Recursos Biológicos; Argentina.Fil: Gavier, Gregorio. Centro de Investigación en Recursos Naturales; ArgentinaFil: Scavuzzo, Marcelo. Comisión Nacional de Actividades Espaciales; Argentina.Fil: Bellis, Laura M. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Diversidad y Ecología Animal; Argentina.Conservación de la Biodiversida
Geoscience and Remote Sensing on Horticulture as Support for Management and Planning
Full text linkThe importance of horticulture around the large cities, called green belt (GB), or proximity food production area is related to its contribution to the provision of food as well as its role on social, cultural and ecological aspects. Geoscience and Remote sensing (GRS) are tools that should aid in gathering and updating the information to develop science-based management plans of this areas. Recently, the improvement in terms of spatial, temporal and radiometric resolutions has changed the performance and the approach to the horticulture remote sensing. In this work, we make a brief review on the literature exploring the use of GRS techniques in horticulture, and future trends in order to exploit the available techniques for efficient crop management in the way to improve territorial planning and management. Specifically we found a lack of academic production in this area. In addition we examine the importance of this landscape areas from different points of view (food security, health, ecology, etc.). A systematic revision of published studies on remote sensing on horticulture including different platforms, sensors and methodologies are briefly presented. Finally some aspect related with future trends are discussed.Fil: Marinelli, María Victoria. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Scavuzzo, Matías. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; ArgentinaFil: Giobellina, Beatriz. Instituto Nacional de Tecnologia Agropecuaria. Centro Regional Cordoba. Estacion Experimental Agropecuaria Manfredi. Agencia de Extension Rural Cordoba.; ArgentinaFil: Scavuzzo, Marcelo. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentin
A New Approach to Segmentation of Multispectral Remote Sensing Images Based on MRF
Full text linkSegmentation of multispectral remote sensing images is a key competence for a great variety of applications. Many of the applied segmentation algorithms are generative models based on Markov random fields. These approaches are generally limited to multivariate probability densities like the normal distribution. Besides that, it is usually impossible to adjust the contextual parameters separately for each frequency band. In this work, we present a new segmentation algorithm that avoids the mentioned problems and allows the use of any univariate density function as emission probability in each band. The approach consists of three steps: First, calculate feature vectors for each frequency band. Second, estimate contextual parameters for each band and apply local smoothing. Third, merge the feature vectors of the frequency bands to obtain a final segmentation. This procedure can be iterated but experiments show, that after the first iteration most of the pixels are already in their final state. We call our approach Successive Band Merging (SBM). To evaluate the performance of SBM, we segment a Landsat 8 and an AVIRIS image. In both cases, the κ coefficients show, that SBM outperforms the benchmark algorithms.Fil: Baumgartner, Josef Sylvester. Universidad Nacional de Cordoba. Facultad de Cs.exactas Fisicas y Naturales. Departamento de Electronica; ArgentinaFil: Gimenez Romero, Javier Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Juan. Instituto de Automática; ArgentinaFil: Scavuzzo, Marcelo. Comision Nacional de Actividades Espaciales; ArgentinaFil: Pucheta, Julián Antonio. Universidad Nacional de Cordoba. Facultad de Cs.exactas Fisicas y Naturales. Departamento de Electronica; Argentin
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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