10 resultados para Java SPAtial

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As comunicações electrónicas são cada vez mais o meio de eleição para negócios entre entidades e para as relações entre os cidadãos e o Estado (e-government). Esta diversidade de transacções envolve, muitas vezes, informação sensível e com possível valor legal. Neste contexto, as assinaturas electrónicas são uma importante base de confiança, fornecendo garantias de integridade e autenticação entre os intervenientes. A produção de uma assinatura digital resulta não só no valor da assinatura propriamente dita, mas também num conjunto de informação adicional acerca da mesma, como o algoritmo de assinatura, o certificado de validação ou a hora e local de produção. Num cenário heterogéneo como o descrito anteriormente, torna-se necessária uma forma flexível e interoperável de descrever esse tipo de informação. A linguagem XML é uma forma adequada de representar uma assinatura neste contexto, não só pela sua natureza estruturada, mas principalmente por ser baseada em texto e ter suporte generalizado. A recomendação XML Signature Syntax and Processing (ou apenas XML Signature) foi o primeiro passo na representação de assinaturas em XML. Nela são definidas sintaxe e regras de processamento para criar, representar e validar assinaturas digitais. As assinaturas XML podem ser aplicadas a qualquer tipo de conteúdos digitais identificáveis por um URI, tanto no mesmo documento XML que a assinatura, como noutra qualquer localização. Além disso, a mesma assinatura XML pode englobar vários recursos, mesmo de tipos diferentes (texto livre, imagens, XML, etc.). À medida que as assinaturas electrónicas foram ganhando relevância tornou-se evidente que a especificação XML Signature não era suficiente, nomeadamente por não dar garantias de validade a longo prazo nem de não repudiação. Esta situação foi agravada pelo facto da especificação não cumprir os requisitos da directiva 1999/93/EC da União Europeia, onde é estabelecido um quadro legal para as assinaturas electrónicas a nível comunitário. No seguimento desta directiva da União Europeia foi desenvolvida a especificação XML Advanced Electronic Signatures que define formatos XML e regras de processamento para assinaturas electrónicas não repudiáveis e com validade verificável durante períodos de tempo extensos, em conformidade com a directiva. Esta especificação estende a recomendação XML Signature, definindo novos elementos que contêm informação adicional acerca da assinatura e dos recursos assinados (propriedades qualificadoras). A plataforma Java inclui, desde a versão 1.6, uma API de alto nível para serviços de assinaturas digitais em XML, de acordo com a recomendação XML Signature. Contudo, não existe suporte para assinaturas avançadas. Com este projecto pretende-se desenvolver uma biblioteca Java para a criação e validação de assinaturas XAdES, preenchendo assim a lacuna existente na plataforma. A biblioteca desenvolvida disponibiliza uma interface com alto nível de abstracção, não tendo o programador que lidar directamente com a estrutura XML da assinatura nem com os detalhes do conteúdo das propriedades qualificadoras. São definidos tipos que representam os principais conceitos da assinatura, nomeadamente as propriedades qualificadoras e os recursos assinados, sendo os aspectos estruturais resolvidos internamente. Neste trabalho, a informação que compõe uma assinatura XAdES é dividia em dois grupos: o primeiro é formado por características do signatário e da assinatura, tais como a chave e as propriedades qualificadoras da assinatura. O segundo grupo é composto pelos recursos assinados e as correspondentes propriedades qualificadoras. Quando um signatário produz várias assinaturas em determinado contexto, o primeiro grupo de características será semelhante entre elas. Definiu-se o conjunto invariante de características da assinatura e do signatário como perfil de assinatura. O conceito é estendido à verificação de assinaturas englobando, neste caso, a informação a usar nesse processo, como por exemplo os certificados raiz em que o verificador confia. Numa outra perspectiva, um perfil constitui uma configuração do serviço de assinatura correspondente. O desenho e implementação da biblioteca estão também baseados no conceito de fornecedor de serviços. Um fornecedor de serviços é uma entidade que disponibiliza determinada informação ou serviço necessários à produção e verificação de assinaturas, nomeadamente: selecção de chave/certificado de assinatura, validação de certificados, interacção com servidores de time-stamp e geração de XML. Em vez de depender directamente da informação em causa, um perfil — e, consequentemente, a operação correspondente — é configurado com fornecedores de serviços que são invocados quando necessário. Para cada tipo de fornecedor de serviços é definida um interface, podendo as correspondentes implementações ser configuradas de forma independente. A biblioteca inclui implementações de todos os fornecedores de serviços, sendo algumas delas usadas for omissão na produção e verificação de assinaturas. Uma vez que o foco do projecto é a especificação XAdES, o processamento e estrutura relativos ao formato básico são delegados internamente na biblioteca Apache XML Security, que disponibiliza uma implementação da recomendação XML Signature. Para validar o funcionamento da biblioteca, nomeadamente em termos de interoperabilidade, procede-se, entre outros, à verificação de um conjunto de assinaturas produzidas por Estados Membros da União Europeia, bem como por outra implementação da especificação XAdES.

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Amorphous glass/ZnO-Al/p(a-Si:H)/i(a-Si:H)/n(a-Si1-xCx:H)/Al imagers with different n-layer resistivities were produced by plasma enhanced chemical vapour deposition technique (PE-CVD). An image is projected onto the sensing element and leads to spatially confined depletion regions that can be readout by scanning the photodiode with a low-power modulated laser beam. The essence of the scheme is the analog readout, and the absence of semiconductor arrays or electrode potential manipulations to transfer the information coming from the transducer. The influence of the intensity of the optical image projected onto the sensor surface is correlated with the sensor output characteristics (sensitivity, linearity blooming, resolution and signal-to-noise ratio) are analysed for different material compositions (0.5 < x < 1). The results show that the responsivity and the spatial resolution are limited by the conductivity of the doped layers. An enhancement of one order of magnitude in the image intensity signal and on the spatial resolution are achieved at 0.2 mW cm(-2) light flux by decreasing the n-layer conductivity by the same amount. A physical model supported by electrical simulation gives insight into the image-sensing technique used.

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Object-oriented programming languages presently are the dominant paradigm of application development (e. g., Java,. NET). Lately, increasingly more Java applications have long (or very long) execution times and manipulate large amounts of data/information, gaining relevance in fields related with e-Science (with Grid and Cloud computing). Significant examples include Chemistry, Computational Biology and Bio-informatics, with many available Java-based APIs (e. g., Neobio). Often, when the execution of such an application is terminated abruptly because of a failure (regardless of the cause being a hardware of software fault, lack of available resources, etc.), all of its work already performed is simply lost, and when the application is later re-initiated, it has to restart all its work from scratch, wasting resources and time, while also being prone to another failure and may delay its completion with no deadline guarantees. Our proposed solution to address these issues is through incorporating mechanisms for checkpointing and migration in a JVM. These make applications more robust and flexible by being able to move to other nodes, without any intervention from the programmer. This article provides a solution to Java applications with long execution times, by extending a JVM (Jikes research virtual machine) with such mechanisms. Copyright (C) 2011 John Wiley & Sons, Ltd.

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Anaemia has a significant impact on child development and mortality and is a severe public health problem in most countries in sub-Saharan Africa. Nutritional and infectious causes of anaemia are geographically variable and anaemia maps based on information on the major aetiologies of anaemia are important for identifying communities most in need and the relative contribution of major causes. We investigated the consistency between ecological and individual-level approaches to anaemia mapping, by building spatial anaemia models for children aged ≤15 years using different modeling approaches. We aimed to a) quantify the role of malnutrition, malaria, Schistosoma haematobium and soil-transmitted helminths (STH) for anaemia endemicity in children aged ≤15 years and b) develop a high resolution predictive risk map of anaemia for the municipality of Dande in Northern Angola. We used parasitological survey data on children aged ≤15 years to build Bayesian geostatistical models of malaria (PfPR≤15), S. haematobium, Ascaris lumbricoides and Trichuris trichiura and predict small-scale spatial variation in these infections. The predictions and their associated uncertainty were used as inputs for a model of anemia prevalence to predict small-scale spatial variation of anaemia. Stunting, PfPR≤15, and S. haematobium infections were significantly associated with anaemia risk. An estimated 12.5%, 15.6%, and 9.8%, of anaemia cases could be averted by treating malnutrition, malaria, S. haematobium, respectively. Spatial clusters of high risk of anaemia (>86%) were identified. Using an individual-level approach to anaemia mapping at a small spatial scale, we found that anaemia in children aged ≤15 years is highly heterogeneous and that malnutrition and parasitic infections are important contributors to the spatial variation in anemia risk. The results presented in this study can help inform the integration of the current provincial malaria control program with ancillary micronutrient supplementation and control of neglected tropical diseases, such as urogenital schistosomiasis and STH infection.

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Anaemia is known to have an impact on child development and mortality and is a severe public health problem in most countries in sub-Saharan Africa. We investigated the consistency between ecological and individual-level approaches to anaemia mapping by building spatial anaemia models for children aged ≤15 years using different modelling approaches. We aimed to (i) quantify the role of malnutrition, malaria, Schistosoma haematobium and soil-transmitted helminths (STHs) in anaemia endemicity; and (ii) develop a high resolution predictive risk map of anaemia for the municipality of Dande in northern Angola. We used parasitological survey data for children aged ≤15 years to build Bayesian geostatistical models of malaria (PfPR≤15), S. haematobium, Ascaris lumbricoides and Trichuris trichiura and predict small-scale spatial variations in these infections. Malnutrition, PfPR≤15, and S. haematobium infections were significantly associated with anaemia risk. An estimated 12.5%, 15.6% and 9.8% of anaemia cases could be averted by treating malnutrition, malaria and S. haematobium, respectively. Spatial clusters of high risk of anaemia (>86%) were identified. Using an individual-level approach to anaemia mapping at a small spatial scale, we found that anaemia in children aged ≤15 years is highly heterogeneous and that malnutrition and parasitic infections are important contributors to the spatial variation in anaemia risk. The results presented in this study can help inform the integration of the current provincial malaria control programme with ancillary micronutrient supplementation and control of neglected tropical diseases such as urogenital schistosomiasis and STH infections.

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In team sports, the spatial distribution of players on the field is determined by the interaction behavior established at both player and team levels. The distribution patterns observed during a game emerge from specific technical and tactical methods adopted by the teams, and from individual, environmental and task constraints that influence players' behaviour. By understanding how specific patterns of spatial interaction are formed, one can characterize the behavior of the respective teams and players. Thus, in the present work we suggest a novel spatial method for describing teams' spatial interaction behaviour, which results from superimposing the Voronoi diagrams of two competing teams. We considered theoretical patterns of spatial distribution in a well-defined scenario (5 vs 4+ GK played in a field of 20x20m) in order to generate reference values of the variables derived from the superimposed Voronoi diagrams (SVD). These variables were tested in a formal application to empirical data collected from 19 Futsal trials with identical playing settings. Results suggest that it is possible to identify a number of characteristics that can be used to describe players' spatial behavior at different levels, namely the defensive methods adopted by the players.

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Renewable energy sources (RES) have unique characteristics that grant them preference in energy and environmental policies. However, considering that the renewable resources are barely controllable and sometimes unpredictable, some challenges are faced when integrating high shares of renewable sources in power systems. In order to mitigate this problem, this paper presents a decision-making methodology regarding renewable investments. The model computes the optimal renewable generation mix from different available technologies (hydro, wind and photovoltaic) that integrates a given share of renewable sources, minimizing residual demand variability, therefore stabilizing the thermal power generation. The model also includes a spatial optimization of wind farms in order to identify the best distribution of wind capacity. This methodology is applied to the Portuguese power system.

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This paper presents a spatial econometrics analysis for the number of road accidents with victims in the smallest administrative divisions of Lisbon, considering as a baseline a log-Poisson model for environmental factors. Spatial correlation on data is investigated for data alone and for the residuals of the baseline model without and with spatial-autocorrelated and spatial-lagged terms. In all the cases no spatial autocorrelation was detected.

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Renewable energy sources (RES) have unique characteristics that grant them preference in energy and environmental policies. However, considering that the renewable resources are barely controllable and sometimes unpredictable, some challenges are faced when integrating high shares of renewable sources in power systems. In order to mitigate this problem, this paper presents a decision-making methodology regarding renewable investments. The model computes the optimal renewable generation mix from different available technologies (hydro, wind and photovoltaic) that integrates a given share of renewable sources, minimizing residual demand variability, therefore stabilizing the thermal power generation. The model also includes a spatial optimization of wind farms in order to identify the best distribution of wind capacity. This methodology is applied to the Portuguese power system.

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Team sports represent complex systems: players interact continuously during a game, and exhibit intricate patterns of interaction, which can be identified and investigated at both individual and collective levels. We used Voronoi diagrams to identify and investigate the spatial dynamics of players' behavior in Futsal. Using this tool, we examined 19 plays of a sub-phase of a Futsal game played in a reduced area (20 m(2)) from which we extracted the trajectories of all players. Results obtained from a comparative analysis of player's Voronoi area (dominant region) and nearest teammate distance revealed different patterns of interaction between attackers and defenders, both at the level of individual players and teams. We found that, compared to defenders, larger dominant regions were associated with attackers. Furthermore, these regions were more variable in size among players from the same team but, at the player level, the attackers' dominant regions were more regular than those associated with each of the defenders. These findings support a formal description of the dynamic spatial interaction of the players, at least during the particular sub-phase of Futsal investigated. The adopted approach may be extended to other team behaviors where the actions taken at any instant in time by each of the involved agents are associated with the space they occupy at that particular time.