Regionen och EU? : Uppfattningar och attityder till EU-relaterade frågor i Västsverige

This thesis explores perceptions and preferences on regional action in EU-related frameworks among regional actors in Western Sweden. Building upon the literature on Europeanisation and the Fusion approach, three dimensions of Europeanisation are clarified and explored– download, upload and crossload – and together with a set of five variables that constitute the Micro Fusion Framework; a comprehensive analytical tool is developed. The thesis analyses the intense debate among the members of West Sweden that took place from 2011 to 2013 that focused on how to functionally organise the regional office in Brussels in order to meet future challenges. Surprisingly, the members eventually decided to terminate their cooperation and close the jointly owned office in Brussels in spite of the fact that it has been widely regarded as successful and effective. Diverging perceptions and preferences is understood in terms of three positions on regional action; a download-, upload- and a coherent oriented position. Finally, the thesis presents the empirical findings and discusses in relation to three fusion scenarios, infusion, defusion and clustered fusion. In terms of Micro Fusion Framework, the dynamics shaping why West Sweden was finally regarded as a dysfunctional arena for regional action are explained by a shift of attention and action among regional actors in Western Sweden that led to pressure for further institutional adaptation in order to meet the demand of how ‘to get the best out of the EU’. Further, this redefinition of how to handle EU-affairs within the upload-oriented position was accompanied by positive attitudes towards the potential to bypass the state and thereby pursue regional priorities directly in Brussels given the compound nature of the EU. In contrast, those regional actors that are found to be more download-oriented often question the benefits of uploading activities in practice and advocate close relations to the state. A coherent oriented position recognises the importance of activities related to both of the vertical dimensions of Europeanisation.

Weighted Shape-based Averaging with Neighborhood Prior Model for Multiple Atlas Fusion-based Medical Image Segmentation

In medical imaging, merging automated segmentations obtained from multiple atlases has become a standard practice for improving the accuracy. In this letter, we propose two new fusion methods: "Global Weighted Shape-Based Averaging" (GWSBA) and "Local Weighted Shape-Based Averaging" (LWSBA). These methods extend the well known Shape-Based Averaging (SBA) by additionally incorporating the similarity information between the reference (i.e., atlas) images and the target image to be segmented. We also propose a new spatially-varying similarity-weighted neighborhood prior model, and an edge-preserving smoothness term that can be used with many of the existing fusion methods. We first present our new Markov Random Field (MRF) based fusion framework that models the above mentioned information. The proposed methods are evaluated in the context of segmentation of lymph nodes in the head and neck 3D CT images, and they resulted in more accurate segmentations compared to the existing SBA.

A generative model for online depth fusion

We present a probabilistic, online, depth map fusion framework, whose generative model for the sensor measurement process accurately incorporates both long-range visibility constraints and a spatially varying, probabilistic outlier model. In addition, we propose an inference algorithm that updates the state variables of this model in linear time each frame. Our detailed evaluation compares our approach against several others, demonstrating and explaining the improvements that this model offers, as well as highlighting a problem with all current methods: systemic bias. © 2012 Springer-Verlag.

Rank Aggregation for Pattern Classifier Selection in Remote Sensing Images

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Simulating heterogeneous multinational firms

This paper develops a micro-simulation framework for multinational entry and sales activities across countries. The model is based on Eaton, Kortum, and Kramarz's (2010) quantitative trade model adapted towards multinational production. Using micro data on Japanese manufacturing firms, we first stylize the empirical regularities of multinational entry and sales activity and estimate the model's structural parameters with simulated method of moments. We then demonstrate that our adapted model is able to replicate important dimensions of the in-sample moments conditioned in our estimation strategy. Importantly, it is able to replicate activity under an economic period with a far different level of FDI barriers than was conditioned upon in our estimation sample. Overall, our research highlights the richness of the simulation framework for performing counterfactual analysis of various FDI policies.

A competing values framework approach on growth and performance in micro firms

This study aims to analyze and compare four micro-firms' organizational culture, evaluated through the Competing Values Framework (Quinn & Rohbaugh, 1983). Data was collected in 2011 and 2013 in firms selling the same type of software and providing the same kind of services, focusing on the years between 2008-2011. Findings point to somewhat different results of micro-firms, when comparing to other samples in the literature. Suggestions for future research are given.

Rapid prototyping framework for visual control of autonomous micro aerial vehicles

Rapid prototyping environments can speed up the research of visual control algorithms. We have designed and implemented a software framework for fast prototyping of visual control algorithms for Micro Aerial Vehicles (MAV). We have applied a combination of a proxy-based network communication architecture and a custom Application Programming Interface. This allows multiple experimental configurations, like drone swarms or distributed processing of a drone’s video stream. Currently, the framework supports a low-cost MAV: the Parrot AR.Drone. Real tests have been performed on this platform and the results show comparatively low figures of the extra communication delay introduced by the framework, while adding new functionalities and flexibility to the selected drone. This implementation is open-source and can be downloaded from www.vision4uav.com/?q=VC4MAV-FW

Contribution to Real-Time Estimation of Crop Phenological States in a Dynamical Framework Based on NDVI Time Series: Data Fusion With SAR and Temperature

In this study, a methodology based in a dynamical framework is proposed to incorporate additional sources of information to normalized difference vegetation index (NDVI) time series of agricultural observations for a phenological state estimation application. The proposed implementation is based on the particle filter (PF) scheme that is able to integrate multiple sources of data. Moreover, the dynamics-led design is able to conduct real-time (online) estimations, i.e., without requiring to wait until the end of the campaign. The evaluation of the algorithm is performed by estimating the phenological states over a set of rice fields in Seville (SW, Spain). A Landsat-5/7 NDVI series of images is complemented with two distinct sources of information: SAR images from the TerraSAR-X satellite and air temperature information from a ground-based station. An improvement in the overall estimation accuracy is obtained, especially when the time series of NDVI data is incomplete. Evaluations on the sensitivity to different development intervals and on the mitigation of discontinuities of the time series are also addressed in this work, demonstrating the benefits of this data fusion approach based on the dynamic systems.

An iterative analytical design framework for the optimal designing of an off-grid renewable energy based hybrid smart micro-grid

Creative ways of utilising renewable energy sources in electricity generation especially in remote areas and particularly in countries depending on imported energy, while increasing energy security and reducing cost of such isolated off-grid systems, is becoming an urgently needed necessity for the effective strategic planning of Energy Systems. The aim of this research project was to design and implement a new decision support framework for the optimal design of hybrid micro grids considering different types of different technologies, where the design objective is to minimize the total cost of the hybrid micro grid while at the same time satisfying the required electric demand. Results of a comprehensive literature review, of existing analytical, decision support tools and literature on HPS, has identified the gaps and the necessary conceptual parts of an analytical decision support framework. As a result this research proposes and reports an Iterative Analytical Design Framework (IADF) and its implementation for the optimal design of an Off-grid renewable energy based hybrid smart micro-grid (OGREH-SμG) with intra and inter-grid (μG2μG & μG2G) synchronization capabilities and a novel storage technique. The modelling design and simulations were based on simulations conducted using HOMER Energy and MatLab/SIMULINK, Energy Planning and Design software platforms. The design, experimental proof of concept, verification and simulation of a new storage concept incorporating Hydrogen Peroxide (H2O2) fuel cell is also reported. The implementation of the smart components consisting Raspberry Pi that is devised and programmed for the semi-smart energy management framework (a novel control strategy, including synchronization capabilities) of the OGREH-SμG are also detailed and reported. The hybrid μG was designed and implemented as a case study for the Bayir/Jordan area. This research has provided an alternative decision support tool to solve Renewable Energy Integration for the optimal number, type and size of components to configure the hybrid μG. In addition this research has formulated and reported a linear cost function to mathematically verify computer based simulations and fine tune the solutions in the iterative framework and concluded that such solutions converge to a correct optimal approximation when considering the properties of the problem. As a result of this investigation it has been demonstrated that, the implemented and reported OGREH-SμG design incorporates wind and sun powered generation complemented with batteries, two fuel cell units and a diesel generator is a unique approach to Utilizing indigenous renewable energy with a capability of being able to synchronize with other μ-grids is the most effective and optimal way of electrifying developing countries with fewer resources in a sustainable way, with minimum impact on the environment while also achieving reductions in GHG. The dissertation concludes with suggested extensions to this work in the future.

Towards a better understanding of granular material processes: The coupling of a computational fluid dynamics framework with micro-mechanical models

Abstract not available

Enquadramento de corpos de água em pequenas e micro bacias hidrográficas rurais de base agrícola familiar : subsídios à elaboração da fase diagnóstica

Este trabalho tem como proposta geral fornecer subsídios para o desenvolvimento da fase diagnóstica do processo de Enquadramento de corpos de água superficiais de pequenas e micro bacias hidrográficas (PMBH). Sua justificativa ampara-se no fato de que a implementação de processos de Enquadramento ainda é restrita, principalmente, no que tange as PMBH, escala de gestão ainda não considerada pelo gerenciamento de recursos hídricos. Apresenta como objetivos a identificação, análise e seleção de itens de diagnósticos adotados em processos de Enquadramento; avaliação quanto as particularidades / especificidade quanto à utilização desses itens de diagnóstico para a realidade de PMBH, e por fim, a proposição de diretrizes para o estabelecimento de procedimentos orientativos para avaliações diagnósticas para fins de Enquadramento de corpos de agua superficiais em PMBH. Metodologicamente, embasado por meio de análise de estudos técnicos e científicos, os itens de diagnóstico identificados foram agrupados de forma sistematizada, e realizada avaliação quanto a aplicabilidade desses itens na elaboração de diagnóstico para Enquadramento em PMBH. Como resultado, mostrou ser possível obter maior nível de detalhamento para os itens de diagnósticos sugeridos pela Resolução nº 91/08 do CNRH no Artigo 4º. Apresentou como produto, um de conjunto de itens de diagnóstico de referência para a fase de avaliações diagnósticas do Enquadramento. Também demonstrou haver, de fato, particularidades que devem ser levadas em consideração quanto ao desenvolvimento de estudos de Enquadramento em pequenas regiões hidrográficas. Além disso, com a proposição de diretrizes para o estabelecimento de procedimentos orientativos para a fase de diagnósticos do Enquadramento, verificou que os desafios para tornar realidade o Enquadramento de corpos de água superficiais em PMBH são de natureza financeira, política e técnico-científica.

Capacidades dinâmicas e rituais de interação entre alta e média gerência: proposta de um framework

O presente artigo foi desenvolvido considerando situações de incerteza ambiental, em que a ordem do dia ou questão estratégica (strategic issue) é a inovação dos recursos, ou seja, transformação, renovação ou desenvolvimento de uma nova capacidade funcional (ordinária). Com o objetivo de compreender como as capacidades dinâmicas desempenham esse papel na inovação dos ativos organizacionais em tais contextos ambientais, propõe-se aqui uma perspectiva alternativa de análise a partir de uma vertente microssociológica, a qual recorre aos elementos constitutivos de rituais de interação segundo Collins (2004). Essa perspectiva oferece possibilidades de investigação da influência das conversações estratégicas, que ocorrem em meio a práticas ritualísticas de interação entre alta e média gerência, sobre o potencial de inovação das capacidades organizacionais. Para compreensão da articulação teórica realizada no trabalho, apresenta-se um framework de análise que agrega a incerteza no nível macro com variáveis comportamentais e organizacionais no nível micro, enquanto elementos mais salientes dos rituais de interação. Visando estudos futuros e melhor compreensão do framework do trabalho, são apresentadas proposições acerca das relações do modelo após o detalhamento da estrutura analítica.

Expert opinion on best practice guidelines and competency framework for visual screening in children

PURPOSE: Screening programs to detect visual abnormalities in children vary among countries. The aim of this study is to describe experts' perception of best practice guidelines and competency framework for visual screening in children. METHODS: A qualitative focus group technique was applied during the Portuguese national orthoptic congress to obtain the perception of an expert panel of 5 orthoptists and 2 ophthalmologists with experience in visual screening for children (mean age 53.43 years, SD ± 9.40). The panel received in advance a script with the description of three tuning competencies dimensions (instrumental, systemic, and interpersonal) for visual screening. The session was recorded in video and audio. Qualitative data were analyzed using a categorical technique. RESULTS: According to experts' views, six tests (35.29%) have to be included in a visual screening: distance visual acuity test, cover test, bi-prism or 4/6(Δ) prism, fusion, ocular movements, and refraction. Screening should be performed according to the child age before and after 3 years of age (17.65%). The expert panel highlighted the influence of the professional experience in the application of a screening protocol (23.53%). They also showed concern about the false negatives control (23.53%). Instrumental competencies were the most cited (54.09%), followed by interpersonal (29.51%) and systemic (16.4%). CONCLUSIONS: Orthoptists should have professional experience before starting to apply a screening protocol. False negative results are a concern that has to be more thoroughly investigated. The proposed framework focuses on core competencies highlighted by the expert panel. Competencies programs could be important do develop better screening programs.