990 resultados para Java Modelling Language (JML)
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In the PhD thesis “Sound Texture Modeling” we deal with statistical modelling or textural sounds like water, wind, rain, etc. For synthesis and classification. Our initial model is based on a wavelet tree signal decomposition and the modeling of the resulting sequence by means of a parametric probabilistic model, that can be situated within the family of models trainable via expectation maximization (hidden Markov tree model ). Our model is able to capture key characteristics of the source textures (water, rain, fire, applause, crowd chatter ), and faithfully reproduces some of the sound classes. In terms of a more general taxonomy of natural events proposed by Graver, we worked on models for natural event classification and segmentation. While the event labels comprise physical interactions between materials that do not have textural propierties in their enterity, those segmentation models can help in identifying textural portions of an audio recording useful for analysis and resynthesis. Following our work on concatenative synthesis of musical instruments, we have developed a pattern-based synthesis system, that allows to sonically explore a database of units by means of their representation in a perceptual feature space. Concatenative syntyhesis with “molecules” built from sparse atomic representations also allows capture low-level correlations in perceptual audio features, while facilitating the manipulation of textural sounds based on their physical and perceptual properties. We have approached the problem of sound texture modelling for synthesis from different directions, namely a low-level signal-theoretic point of view through a wavelet transform, and a more high-level point of view driven by perceptual audio features in the concatenative synthesis setting. The developed framework provides unified approach to the high-quality resynthesis of natural texture sounds. Our research is embedded within the Metaverse 1 European project (2008-2011), where our models are contributting as low level building blocks within a semi-automated soundscape generation system.
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Report of the Project Group
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Protecting native biodiversity against alien invasive species requires powerful methods to anticipate these invasions and to protect native species assumed to be at risk. Here, we describe how species distribution models (SDMs) can be used to identify areas predicted as suitable for rare native species and also predicted as highly susceptible to invasion by alien species, at present and under future climate and land-use scenarios. To assess the condition and dynamics of such conflicts, we developed a combined predictive modelling (CPM) approach, which predicts species distributions by combining two SDMs fitted using subsets of predictors classified as acting at either regional or local scales. We illustrate the CPM approach for an alien invader and a rare species associated to similar habitats in northwest Portugal. Combined models predict a wider variety of potential species responses, providing more informative projections of species distributions and future dynamics than traditional, non-combined models. They also provide more informative insight regarding current and future rare-invasive conflict areas. For our studied species, conflict areas of highest conservation relevance are predicted to decrease over the next decade, supporting previous reports that some invasive species may contract their geographic range and impact due to climate change. More generally, our results highlight the more informative character of the combined approach to address practical issues in conservation and management programs, especially those aimed at mitigating the impact of invasive plants, land-use and climate changes in sensitive regions
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Altitudinal tree lines are mainly constrained by temperature, but can also be influenced by factors such as human activity, particularly in the European Alps, where centuries of agricultural use have affected the tree-line. Over the last decades this trend has been reversed due to changing agricultural practices and land-abandonment. We aimed to combine a statistical land-abandonment model with a forest dynamics model, to take into account the combined effects of climate and human land-use on the Alpine tree-line in Switzerland. Land-abandonment probability was expressed by a logistic regression function of degree-day sum, distance from forest edge, soil stoniness, slope, proportion of employees in the secondary and tertiary sectors, proportion of commuters and proportion of full-time farms. This was implemented in the TreeMig spatio-temporal forest model. Distance from forest edge and degree-day sum vary through feed-back from the dynamics part of TreeMig and climate change scenarios, while the other variables remain constant for each grid cell over time. The new model, TreeMig-LAb, was tested on theoretical landscapes, where the variables in the land-abandonment model were varied one by one. This confirmed the strong influence of distance from forest and slope on the abandonment probability. Degree-day sum has a more complex role, with opposite influences on land-abandonment and forest growth. TreeMig-LAb was also applied to a case study area in the Upper Engadine (Swiss Alps), along with a model where abandonment probability was a constant. Two scenarios were used: natural succession only (100% probability) and a probability of abandonment based on past transition proportions in that area (2.1% per decade). The former showed new forest growing in all but the highest-altitude locations. The latter was more realistic as to numbers of newly forested cells, but their location was random and the resulting landscape heterogeneous. Using the logistic regression model gave results consistent with observed patterns of land-abandonment: existing forests expanded and gaps closed, leading to an increasingly homogeneous landscape.
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Reliable quantification of the macromolecule signals in short echo-time H-1 MRS spectra is particularly important at high magnetic fields for an accurate quantification of metabolite concentrations (the neurochemical profile) due to effectively increased spectral resolution of the macromolecule components. The purpose of the present study was to assess two approaches of quantification, which take the contribution of macromolecules into account in the quantification step. H-1 spectra were acquired on a 14.1 T/26 cm horizontal scanner on five rats using the ultra-short echo-time SPECIAL (spin echo full intensity acquired localization) spectroscopy sequence. Metabolite concentrations were estimated using LCModel, combined with a simulated basis set of metabolites using published spectral parameters and either the spectrum of macromolecules measured in vivo, using an inversion recovery technique, or baseline simulated by the built-in spline function. The fitted spline function resulted in a smooth approximation of the in vivo macromolecules, but in accordance with previous studies using Subtract-QUEST could not reproduce completely all features of the in vivo spectrum of macromolecules at 14.1 T. As a consequence, the measured macromolecular 'baseline' led to a more accurate and reliable quantification at higher field strengths.
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L'objectiu principal del projecte de final de carrerà és aprendre i entendre com es desenvolupen i mantenen aplicacions en tecnologia J2EE. Ja que és una tecnologia que esta molt de moda i que utilitza la gran part del mercat de desenvolupament de programari. L'altre objectiu era desenvolupar una aplicació de gestió d'esdeveniments que permetes els usuaris enregistrarse els esdeviments i les empreses oferir i controlar l'assistència d'aquests esdeveniments.
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Treball de final de carrera on s'explica com s'ha realitzat el desenvolupament d'una aplicació de gestió d'events utilitzant la plataforma J2EE: Struts2, EJB.
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El present treball de fi de carrera es planteja en base a l'anàlisi, planificació i desenvolupament d'una aplicació web basada en el model Java EE i que permetrà als usuaris del sistema la creació de col leccions digitals de fotografies.
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Intranet clinica para la historia electronica de pacientes.
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Aquest Treball de Final de Carrera conté el projecte de creació i desenvolupament d'una botiga virtual de venda de llibres, pel·lícules, música i videojocs.
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Aplicació de gestió per al manteniment dels paquets de software distribuïts als usuaris de l'Ajuntament de Barcelona. El treball consisteix en el disseny i anàlisi de la base de dades, juntament amb el desenvolupament de l'aplicació.
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Construcció d'un marc de treball per a implementar el patró de disseny model-vista-controlador en aplicacions J2EE.
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El present projecte tracta sobre el desenvolupament d'un marc de treball o framework per la capa de presentació d'aplicacions J2EE.En un primer bloc, s'analitzen els frameworks més utilitzats al món empresarial a dia d'avui: Struts 2, Spring MVC i JavaServer Faces. S'estudia com funcionen i les característiques principals de cada un, comparant-les per veure quines són comuns a tots i es consideren imprescindibles per un framework d'aquest tipus. A més, es fa un anàlisi exhaustiu dels patrons J2EE i les bones pràctiques que poden aportar al projecte.El segon bloc del projecte és el desenvolupament de Jewel Framework, el marc de treball que s'ha creat. Primer, s'analitza quines són les funcionalitats que ha de complir el framework i es fa un disseny de l'arquitectura i estructura que segueix. Després, s'implementa seguint el disseny i tenint cura que es compleixin tots els requisits, tant funcionals com de qualitat del producte. Finalment, es dissenya i desenvolupa una aplicació d'exemple que demostra la usabilitat i bon funcionament de Jewel.