97 research outputs found
Lemuria
Este trabajo de grado es una obra para orquesta sinfónica que exhibe el resultado del estudio realizado por el autor sobre la escritura de música orquestal, así como su exploración de un lenguaje propio enmarcado dentro de un contexto modal con un manejo tradicional de los instrumentos y el ensamble. El análisis que acompaña la partitura permite dilucidar parte del proceso creativo desde su concepción hasta su realización final.This gradúate project is a composition for symphonic orchestra. It exhibits the result of the author’s study of orchestral music and the exploration of his musical language, within the context of modal music and a traditional use of the instruments and the ensemble. The accompanying analysis elucidates part of the Creative process from conception to realization.Maestro (a) en MúsicaPregrad
Extracción y organización del conocimiento de etiquetados. Aplicación a etiquetados en repositorios digitales sobre arte
Junta de Andalucía TIC-606
Modeling Lexicon Emergence as Concept Emergence in Networks
Amodel for lexicon emergence in social networks is presented. The model
is based on a modified version of classic Naming Games, where agents’ knowledge
is represented by means of formal contexts. That way it is possible to represent the
effect interactions have on individual knowledge as well as the dynamics of global
knowledge in the network.Ministerio de Economía y Competitividad TIN2013-41086-PJunta de Andalucía TIC-606
Qualitative Reasoning on Complex Systems from Observations
A hybrid approach to phenomenological reconstruction of Complex
Systems (CS), using Formal Concept Analysis (FCA) as main tool for conceptual
data mining, is proposed. To illustrate the method, a classic CS is selected
(cellular automata), to show how FCA can assist to predict CS evolution under
different conceptual descriptions (from different observable features of the CS).Junta de Andalucía TIC-606
Complex concept lattices for simulating human prediction in sport
In order to address the study of complex systems, the detection of patterns in their dynamics
could play a key role in understanding their evolution. In particular, global patterns are required
to detect emergent concepts and trends, some of them of a qualitative nature. Formal concept analysis
(FCA) is a theory whose goal is to discover and extract knowledge from qualitative data (organized
in concept lattices). In complex environments, such as sport competitions, the large amount of information
currently available turns concept lattices into complex networks. The authors analyze how to
apply FCA reasoning in order to increase confidence in sports predictions by means of detecting regularities
from data through the management of intuitive and natural attributes extracted from publicly
available information. The complexity of concept lattices -considered as networks with complex topological
structure- is analyzed. It is applied to building a knowledge based system for confidence-based
reasoning, which simulates how humans tend to avoid the complexity of concept networks by means of
bounded reasoning skills.Ministerio de Ciencia e Innovación TIN2009-09492Junta de Andalucía TIC-606
Simulating Language Dynamics by Means of Concept Reasoning
A problem in the phenomenological reconstruction of Complex
Systems (CS) is the extraction of the knowledge that elements playing
in CS use during its evolution. This problem is important because
such a knowledge would allow the researcher to understand the global
behavior of the system [1,2]. In this paper an approach to partially solve
this problem by means of Formal Concept Analysis (FCA) is described in
a particular case, namely Language Dynamics. The main idea lies in the
fact that global knowledge in CS is naturally built by local interactions
among agents, and FCA could be useful to represent their own knowledge.
In this way it is possible to represent the effect of interactions
on individual knowledge as well as the dynamics of global knowledge.
Experiments in order to show this approach are given using WordNet.Ministerio de Ciencia e Innovación TIN2009-09492Junta de Andalucía TIC-606
Confidence-Based Reasoning with Local Temporal Formal Contexts
Formal Concept Analysis (FCA) is a theory whose goal is to discover and to extract Knowledge from qualitative data. It provides tools for reasoning with implication basis (and association rules). In this paper we analyse how to apply FCA reasoning to increase confidence in sports betting, by means of detecting temporal regularities from data. It is applied to build a Knowledge based system for confidence reasoning.Ministerio de Ciencia e Innovación TIN2009-09492Junta de Andalucía TIC-606
Análisis de la calidad de la red de puntos de apoyo de la Junta de Andalucía. Idoneidad para su aplicación en producción de ortofotografía
Actualmente la producción de ortofotografías se basa en procedimientos que comprenden tareas altamente automatizadas,
hecho que ha permitido una reducción de plazos y costes en la obtención de estos productos. De igual
forma ha contribuido a dicha reducción la disponibilidad de información de partida obtenida en proyectos anteriores,
especialmente para las fases Apoyo de Campo y Modelo Digital del Terreno.
El propósito de este estudio ha sido la evaluación de la calidad posicional de la Red de Puntos de Apoyo de Andalucía
(RPA), constituida por una base de puntos medidos sobre el terreno a lo largo de diversas campañas de producción
cartográfica. Como objetivo de este análisis se pretende categorizar en función de su idoneidad esta información,
para su utilización en posteriores proyectos que requieran apoyo topográfico.
En este artículo se describe la metodología establecida: Un diagnóstico de la idoneidad de la RPA para su posterior
reutilización, mediante el establecimiento de diversos criterios y el análisis de información en función de los
mismos. En una segunda fase, con la ejecución de remediciones sobre el terreno y posterior validación estadística de
los datos, se ha evaluado la exactitud y calidad posicional de los puntos que han superado los diferentes criterios de
aceptación.Nowadays, the production of orthophotos is based on procedures that include highly automated tasks, which has
led to a reduction in time and cost in obtaining these products. Likewise, it has contributed to this reduction the
availability of baseline information obtained in previous projects, especially for Field Support and Digital Terrain
Model phases.
The purpose of this study was to evaluate the positional quality of the Control Points Network of Andalusia (RPA),
consisting of a base of measured field points along different production mapping. The aim of this analysis is to categorize
this information in terms of their suitability, to be used in subsequent projects which require topographic support.
This article describes the methodology set: a diagnosis of the suitability of the RPA for reuse, by means of establishing
different criteria and analysis of information based on them. In a second phase, with the implementation of on
field remeasurements and subsequent statistical validation of data, it has been evaluated the positional accuracy
and quality of points that have passed the different acceptance criteria
Good is stronger than bad for eudaimonic well-being
[ES] Los
cambios percibidos en creencias básicas y crecimiento relacionados con los eventos
vitales se examinaron en tres estudios.
Una
muestra representativa (N = 885), una muestra
de estudiantes y sus familiares (N = 291) y una de estudiantes (N = 245) respondieron una
lista de eventos vitales positivos y negativos, una escala de cambios en creencias básicas y
una escala de crecimiento postraumático.
Los
eventos positivos se asociaron fuertemente con
cambios en las creencias básicas, mientras que solo se encontraron asociaciones débiles para
los eventos negativos. Además, cambios negativos en las creencias básicas se asociaron con
el crecimiento solo en eventos negativos de la vida y los cambios positivos en las creencias
básicas se asociaron en general con el crecimiento.[EN] Perceived changes in basic beliefs and growth related to life events were examined in three studies. A representative sample (N 885), a sample of students and their families (N = 291) and a sample of students (N=245) responded with a list of positive and negative life events, a scale of changes in basic beliefs and a post-traumatic growth scale. Positive events were strongly associated with changes in basic beliefs, while only weak associations were found for negative events. In addition, negative changes in basic beliefs were associated with growth only in negative life events and positive changes in basic beliefs were generally associated with growth
Selecting Attributes for Sport Forecasting using Formal Concept Analysis
In order to address complex systems, apply pattern recongnition on their
evolution could play an key role to understand their dynamics. Global patterns
are required to detect emergent concepts and trends, some of them with
qualitative nature. Formal Concept Analysis (FCA) is a theory whose goal is to
discover and to extract Knowledge from qualitative data. It provides tools for
reasoning with implication basis (and association rules). Implications and
association rules are usefull to reasoning on previously selected attributes,
providing a formal foundation for logical reasoning. In this paper we analyse
how to apply FCA reasoning to increase confidence in sports betting, by means
of detecting temporal regularities from data. It is applied to build a
Knowledge-Based system for confidence reasoning.Comment: Paper 3 for the Complex Systems in Sports Workshop 2011 (CS-Sports
2011
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