From KAPTUR to VADS4R: Exploring Research Data Management in the Visual Arts

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

From KAPTUR to VADSR: Exploring Research Data Management in the Visual Arts

Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Waste Management in Commercial Activity: State-of-the-Art and the Potential Innovation in the Urban Areas of Hanoi, Vietnam

As the rapid development of the society as well as the lifestyle, the generation of commercial waste is getting more complicated to control. The situation of packaging waste and food waste – the main fractions of commercial waste in different countries in Europe and Asia is analyzed in order to evaluate and suggest necessary improvements for the existing waste management system in the city of Hanoi, Vietnam. From all waste generation sources of the city, a total amount of approximately 4000 tons of mixed waste is transported to the composting facility and the disposal site, which emits a huge amount of 1,6Mt of GHG emission to the environment. Recycling activity is taking place spontaneously by the informal pickers, leads to the difficulty in managing the whole system and uncertainty of the overall data. With a relative calculation, resulting in only approximately 0,17Mt CO2 equivalent emission, incinerator is suggested to be the solution of the problem with overloaded landfill and raising energy demand within the inhabitants.

Making it "click": collaborative perceptions of creative practice in art education /

Making it "Click": Collaborative Perceptions ofCreative Practice in Art Education examined the teaching practice of 6 art educators who conducted their work through the Niagara Falls Art Gallery's (NFAG) in-schools and Children's Museum programmes. These community resources service the elementary levels of participatory Public, Catholic and French schools in the Niagara Peninsula. The goal of this research was to find ways in which these teachers could explore their creative potential as art educators. The "click," a term introduced by participants indicating the coming together of all positive factors towards creativity, became the central theme behind this study. Research revealed that the effective creative process was not merely a singular phase, but rather a series of 4 processes: 1 , gathering knowledge; 2, intuitive and experiential; 3, the informal presentation of information in which creativity as a process was explored; and 4, formal presentation that took the analysis of information to a deeper, holistic level. To examine the ways in which experience and knowledge could be shared and brought together through a collaborative process, this study employed data collection that used literature research, interviews, focus group discussions, and personal journal entries. Follow-up discussions that assessed the effectiveness of action research, took place VA months after the initial meetings. It is hoped that this study might assist in creative educational practices, for myself as a member of the NFAG teaching team, for colleagues in the art programmes, art educators, and other teachers in the broader disciplines of education.

Art québécois moderne (depuis 1940) au musée : regard sur la mise en scène permanente des collections

Ce mémoire comprend deux tomes : le premier consiste du texte et des figures, le deuxième consiste des annexes. Le tout est regroupé dans le document électronique présent.

Efficient estimation using the characteristic function : theory and applications with high frequency data

The attached file is created with Scientific Workplace Latex

State-of-the-Art: Transformation Invariant Descriptors

As the popularity of digital videos increases, a large number illegal videos are being generated and getting published. Video copies are generated by performing various sorts of transformations on the original video data. For effectively identifying such illegal videos, the image features that are invariant to various transformations must be extracted for performing similarity matching. An image feature can be its local feature or global feature. Among them, local features are powerful and have been applied in a wide variety of computer vision aplications .This paper focuses on various recently proposed local detectors and descriptors that are invariant to a number of image transformations.

Evaluating the state of the art of parallel programming systems

This paper describes our plans to evaluate the present state of affairs concerning parallel programming and its systems. Three subprojects are proposed: a survey among programmers and scientists, a comparison of parallel programming systems using a standard set of test programs, and a wiki resource for the parallel programming community - the Parawiki. We would like to invite you to participate and turn these subprojects into true community efforts.

Randomization tests for ABAB designs : Comparing-data-divisionspecific and common distributions. 'Pruebas de aleatorizaci??n para dise??os ABAB : comparaci??n entre distribuciones espec??ficas y comunes'

Resumen tomado de la publicaci??n. Resumen tambi??n en ingl??s

Spanish normative data of the Zuckerman-Kuhlman Personality Questionnaire in a general population sample. 'Datos normativos espa??oles del Zuckerman-Kuhlman Personality Questionnaire en una muestra de poblaci??n general'

Resumen tomado de la publicaci??n. Resumen tambi??n en ingl??s

IQ heritability estimation : analyzing genetically-informative data with structural equation models. 'Estimaci??n de la heredabilidad del CI : analizando datos gen??ticamente informativos con modelos de ecuaciones estructurales'

Resumen tomado de la publicaci??n. Resumen tambi??n en ingl??s

Compilation of documents for the development of a state of art of the investigation of perdurability

A través del estudio y la investigación basados en bibliografía de diversas nacionalidades que data desde la década de los setenta hasta la actualidad, ha sido posible analizar la tendencia académica de las investigaciones acerca la Perdurabilidad. Esta recolección de estudios es una fuente de información para todos aquellos que deseen tener un entendimiento más profundo acerca de la teoría que sostiene el concepto de Perdurabilidad. A lo largo de esta investigación, el lector encontrará un conjunto de varios autores de distintas nacionalidades que abordaron el tema de la Perdurabilidad bajo alguna de sus concepciones (longevidad, resistencia, supervivencia); lo que permite tener una visión más amplia acerca de la importancia de ciertos estudios de acuerdo a su origen y contexto cultural. Es importante resaltar que esta investigación es netamente teórica con el propósito de aclarar el concepto de Perdurabilidad y facilitar futuras investigaciones acerca de este tema

Hierarchical Prediction Machines and Big Data Analytics

An emerging consensus in cognitive science views the biological brain as a hierarchically-organized predictive processing system. This is a system in which higher-order regions are continuously attempting to predict the activity of lower-order regions at a variety of (increasingly abstract) spatial and temporal scales. The brain is thus revealed as a hierarchical prediction machine that is constantly engaged in the effort to predict the flow of information originating from the sensory surfaces. Such a view seems to afford a great deal of explanatory leverage when it comes to a broad swathe of seemingly disparate psychological phenomena (e.g., learning, memory, perception, action, emotion, planning, reason, imagination, and conscious experience). In the most positive case, the predictive processing story seems to provide our first glimpse at what a unified (computationally-tractable and neurobiological plausible) account of human psychology might look like. This obviously marks out one reason why such models should be the focus of current empirical and theoretical attention. Another reason, however, is rooted in the potential of such models to advance the current state-of-the-art in machine intelligence and machine learning. Interestingly, the vision of the brain as a hierarchical prediction machine is one that establishes contact with work that goes under the heading of 'deep learning'. Deep learning systems thus often attempt to make use of predictive processing schemes and (increasingly abstract) generative models as a means of supporting the analysis of large data sets. But are such computational systems sufficient (by themselves) to provide a route to general human-level analytic capabilities? I will argue that they are not and that closer attention to a broader range of forces and factors (many of which are not confined to the neural realm) may be required to understand what it is that gives human cognition its distinctive (and largely unique) flavour. The vision that emerges is one of 'homomimetic deep learning systems', systems that situate a hierarchically-organized predictive processing core within a larger nexus of developmental, behavioural, symbolic, technological and social influences. Relative to that vision, I suggest that we should see the Web as a form of 'cognitive ecology', one that is as much involved with the transformation of machine intelligence as it is with the progressive reshaping of our own cognitive capabilities.

Analyzing data from a fuzzy rating scale-based questionnaire : a case study

Resumen tomado de la publicaci??n

Geostatistics for constrained variables: positive data, compositions and probabilities. Applications to environmental hazard monitoring

Aquesta tesi estudia com estimar la distribució de les variables regionalitzades l'espai mostral i l'escala de les quals admeten una estructura d'espai Euclidià. Apliquem el principi del treball en coordenades: triem una base ortonormal, fem estadística sobre les coordenades de les dades, i apliquem els output a la base per tal de recuperar un resultat en el mateix espai original. Aplicant-ho a les variables regionalitzades, obtenim una aproximació única consistent, que generalitza les conegudes propietats de les tècniques de kriging a diversos espais mostrals: dades reals, positives o composicionals (vectors de components positives amb suma constant) són tractades com casos particulars. D'aquesta manera, es generalitza la geostadística lineal, i s'ofereix solucions a coneguts problemes de la no-lineal, tot adaptant la mesura i els criteris de representativitat (i.e., mitjanes) a les dades tractades. L'estimador per a dades positives coincideix amb una mitjana geomètrica ponderada, equivalent a l'estimació de la mediana, sense cap dels problemes del clàssic kriging lognormal. El cas composicional ofereix solucions equivalents, però a més permet estimar vectors de probabilitat multinomial. Amb una aproximació bayesiana preliminar, el kriging de composicions esdevé també una alternativa consistent al kriging indicador. Aquesta tècnica s'empra per estimar funcions de probabilitat de variables qualsevol, malgrat que sovint ofereix estimacions negatives, cosa que s'evita amb l'alternativa proposada. La utilitat d'aquest conjunt de tècniques es comprova estudiant la contaminació per amoníac a una estació de control automàtic de la qualitat de l'aigua de la conca de la Tordera, i es conclou que només fent servir les tècniques proposades hom pot detectar en quins instants l'amoni es transforma en amoníac en una concentració superior a la legalment permesa.