A new spin on a compositionalist predictive modelling framework for conservation planning: a tropical case study in Ecuador

Knowledge about spatial biodiversity patterns is a basic criterion for reserve network design. Although herbarium collections hold large quantities of information, the data are often scattered and cannot supply complete spatial coverage. Alternatively, herbarium data can be used to fit species distribution models and their predictions can be used to provide complete spatial coverage and derive species richness maps. Here, we build on previous effort to propose an improved compositionalist framework for using species distribution models to better inform conservation management. We illustrate the approach with models fitted with six different methods and combined using an ensemble approach for 408 plant species in a tropical and megadiverse country (Ecuador). As a complementary view to the traditional richness hotspots methodology, consisting of a simple stacking of species distribution maps, the compositionalist modelling approach used here combines separate predictions for different pools of species to identify areas of alternative suitability for conservation. Our results show that the compositionalist approach better captures the established protected areas than the traditional richness hotspots strategies and allows the identification of areas in Ecuador that would optimally complement the current protection network. Further studies should aim at refining the approach with more groups and additional species information.

Active deformation fields: dense deformation field estimation for atlas-based segmentation using the active contour framework.

This paper presents a new and original variational framework for atlas-based segmentation. The proposed framework integrates both the active contour framework, and the dense deformation fields of optical flow framework. This framework is quite general and encompasses many of the state-of-the-art atlas-based segmentation methods. It also allows to perform the registration of atlas and target images based on only selected structures of interest. The versatility and potentiality of the proposed framework are demonstrated by presenting three diverse applications: In the first application, we show how the proposed framework can be used to simulate the growth of inconsistent structures like a tumor in an atlas. In the second application, we estimate the position of nonvisible brain structures based on the surrounding structures and validate the results by comparing with other methods. In the final application, we present the segmentation of lymph nodes in the Head and Neck CT images, and demonstrate how multiple registration forces can be used in this framework in an hierarchical manner.

Computed tomography commissioning programmes: how to obtain a reliable MTF with an automatic approach?

The purpose of this study was to assess the spatial resolution of a computed tomography (CT) scanner with an automatic approach developed for routine quality controls when varying CT parameters. The methods available to assess the modulation transfer functions (MTF) with the automatic approach were Droege's and the bead point source (BPS) methods. These MTFs were compared with presampled ones obtained using Boone's method. The results show that Droege's method is not accurate in the low-frequency range, whereas the BPS method is highly sensitive to image noise. While both methods are well adapted to routine stability controls, it was shown that they are not able to provide absolute measurements. On the other hand, Boone's method, which is robust with respect to aliasing, more resilient to noise and provides absolute measurements, satisfies the commissioning requirements perfectly. Thus, Boone's method combined with a modified Catphan 600 phantom could be a good solution to assess CT spatial resolution in the different CT planes.

L'équité d'accès aux ressources en eau : fin ou moyen d'amélioration de l'efficacité de l'irrigation ? : la gestion des ressources en eau dans l'état du Gujarat (Inde) dans la perpective de la political ecology

La thèse présentée ici est le résultat d'une étroite collaboration avec une ONG indienne, AKRSP(I), intervenant dans le développement de l'irrigation au Gujarat depuis plus de 25 ans. Un SIG prototype a été mis en oeuvre et nous permet de proposer ime analyse spatiale et quantitative de l'action de cette ONG ainsi qu'une réflexion plus générale sur les leviers de mise en valeur et de gestion des ressources en eau à des fins agricoles. On peut souligner trois principaux enseignements: Les perspectives d'application des SIG au sein des ONG sont manifestes. Les exigences des bailleurs de fonds peuvent néanmoins faire obstacle à leur développement car, indi-rectement, ils favorisent la mise en oeuvre de SI voués à la justification plutôt qu'à la planification et au suivi des programmes d'actions. Ce résultat soulève la question de la pertinence de l'encadrement, des critères d'évaluation et de la conditionnalité de l'aide publique au développement. Les ONG ont un fort potentiel pour participer à la mise en valeur des ressources en eau en Inde et aider à relever le défi agro-démographique indien, en particulier dans les zones marginales où les services étatiques sont en retrait. Les stratégies d'action basées principalement sur l'application des instruments économiques et techniques doivent cependant être modifiées. Nous montrons qu'elles favorisent une inégalité d'accès aux ressources qui débouche sur une efficacité limitée des pratiques d'irrigation, sur un plan agro-technique. Ces résultats soulignent la nécessité de poursuivre une réflexion critique des discours et solutions dominants en matière de gestion des ressources en eau. Deux pistes d'amélioration sont avancées: 1. considérer l'équité d'accès comme un moyen d'optimiser la gestion de la ressource (limiter le volume d'eau par agriculteur pour encourager les choix de cultures irriguées peu consommatrices et l'adoption des technologies d'économie d'eau), 2. prêter attention à l'ordre dans lequel les différents instruments de gestion disponibles sont employés afin de les articuler dans un séquençage temporel pertinent. La Political Ecology apparait comme un cadre conceptuel très pertinent pour engager cette réflexion critique. Elle permet d'intégrer différentes échelles d'asymétries de pouvoirs à la compréhension des situations et des blocages observables localement : inégalités de capabilités et forces socio-politiques à l'échelle locale, politiques agro-industrielles (coton) et jeux d'alliances politiques des castes à l'échelle nationale, discours et conflits idéologiques ou orientations stratégiques des bailleurs de fonds à l'échelle internationale... Notre recherche empirique contribue modestement au développement de cette Political Ecology de la mise en valeur et de la gestion des ressources en eau. - The present research is based on a close collaboration with an indian NGO, AKRSP(I), which is active in the development of irrigation facilities in Gujarat for the past 25 years. We built a GIS prototype providing quantitative and spatial datas to analyse the NGO intervention and propose a general reflection about water resources development and management issues. Three main findings may be emphasized : The potential of GIS within the workings of an NGO is obvious, as an information ma-nagement tool as much as for developing analytical capacity. However, financial backers expectations may not favour a relevant development of this technology. Indirectly, they promote Information Systems built to justify rather than to plan or monitor action pro¬grammes. This raises the question of stricter framework, conditionality criters and stan¬dardised assessment indicators surrounding official development assistance. There is strong potential that NGOs can assist with the improvement of water resources in India. They can help in overcoming Indian demographic-related agricultural challenges, especially in marginal rural areas neglected by state services. However, intervention strategies mainly based on technical and economic management tools has to be adapted. We found that they lead to inequitable access and distribution of water resources what induces a low efficiency of irrigation practices from an agro-technical point of view. These results underline the need to go further in criticizing dominant ideas and guidelines regarding water resources management. We suggest two other options : 1. to consider equitable access has a tool to improve the effective use of water for agricul¬tural purposes (limiting the volume of water available per farmer would encourage them to adopt low water consumption crops and water saving technics), 2. to consider more carefully the order of use of the various management tools available and to structure them in a relevant sequence. Here, Political Ecology seems to be a relevant conceptual framework to enter into such a critical reflection, integrating different levels and scales of political asymmetries at the core of environmental issues. Indeed, the understanding of regional water situations and social stumbling blocks needs not only to consider local capabilities and socio-political inequities, but also agro-industrial policy (e.i. cotton) and caste political alliances at a national scale, as well as ideological and narrative struggles or strategical orientations of financial backers at an international level. Our empirical research modestly contributes to the development of such a Political Ecology of water resources development and management.

Framework de Persistencia

Desarrollo de un framework de persistencia y posterior estudio de este como objetivo del Proyecto Final de Carrera

Iowa Pavement Asset Management Decision-Making Framework & Pavement Treatment Selection Tool for Local Agencies, TR-651, 2015

Most local agencies in Iowa currently make their pavement treatment decisions based on their limited experience due primarily to lack of a systematic decision-making framework and a decision-aid tool. The lack of objective condition assessment data of agency pavements also contributes to this problem. This study developed a systematic pavement treatment selection framework for local agencies to assist them in selecting the most appropriate treatment and to help justify their maintenance and rehabilitation decisions. The framework is based on an extensive literature review of the various pavement treatment techniques in terms of their technical applicability and limitations, meaningful practices of neighboring states, and the results of a survey of local agencies. The treatment selection framework involves three different steps: pavement condition assessment, selection of technically feasible treatments using decision trees, and selection of the most appropriate treatment considering the return-on-investment (ROI) and other non-economic factors. An Excel-based spreadsheet tool that automates the treatment selection framework was also developed, along with a standalone user guide for the tool. The Pavement Treatment Selection Tool (PTST) for Local Agencies allows users to enter the severity and extent levels of existing distresses and then, recommends a set of technically feasible treatments. The tool also evaluates the ROI of each feasible treatment and, if necessary, it can also evaluate the non-economic value of each treatment option to help determine the most appropriate treatment for the pavement. It is expected that the framework and tool will help local agencies improve their pavement asset management practices significantly and make better economic and defensible decisions on pavement treatment selection.

Diseño e implementación de un framework de presentación : El framework Myst

Estudio sobre los frameworks Java de presentación. Creación de un framework de presentación propio y de una aplicación JEE que lo utiliza.

Disseny i implementació d'un framework de persistència

Aquest projecte consisteix en la realització d'un framework de persistència per realitzar l'enllaç entre el model de dades relacional i el model de dades orientat a objectes. L'aplicació que implementarem per tal de provar el nostre framework consisteix en l'adaptació web d'un software financer que serveix per tenir un control de la tresoreria.

Disseny i implementació d'un framework de persistència

En aquest PFC s'analitzaran els diversos frameworks de persistència que actualment existeixen i es facilitarà el desenvolupament d'un conjunt de components que permetran simplificar la capa de persistència en aplicacions multicapa desenvolupades amb JEE.

Towards a diffusion image processing validation and accuracy prediction framework

Validation is the main bottleneck preventing theadoption of many medical image processing algorithms inthe clinical practice. In the classical approach,a-posteriori analysis is performed based on someobjective metrics. In this work, a different approachbased on Petri Nets (PN) is proposed. The basic ideaconsists in predicting the accuracy that will result froma given processing based on the characterization of thesources of inaccuracy of the system. Here we propose aproof of concept in the scenario of a diffusion imaginganalysis pipeline. A PN is built after the detection ofthe possible sources of inaccuracy. By integrating thefirst qualitative insights based on the PN withquantitative measures, it is possible to optimize the PNitself, to predict the inaccuracy of the system in adifferent setting. Results show that the proposed modelprovides a good prediction performance and suggests theoptimal processing approach.

A Framework for Building Hypercubes Using MapReduce

The European Space Agency's Gaia mission will create the largest and most precise three dimensional chart of our galaxy (the Milky Way), by providing unprecedented position, parallax, proper motion, and radial velocity measurements for about one billion stars. The resulting catalogue will be made available to the scientific community and will be analyzed in many different ways, including the production of a variety of statistics. The latter will often entail the generation of multidimensional histograms and hypercubes as part of the precomputed statistics for each data release, or for scientific analysis involving either the final data products or the raw data coming from the satellite instruments. In this paper we present and analyze a generic framework that allows the hypercube generation to be easily done within a MapReduce infrastructure, providing all the advantages of the new Big Data analysis paradigmbut without dealing with any specific interface to the lower level distributed system implementation (Hadoop). Furthermore, we show how executing the framework for different data storage model configurations (i.e. row or column oriented) and compression techniques can considerably improve the response time of this type of workload for the currently available simulated data of the mission. In addition, we put forward the advantages and shortcomings of the deployment of the framework on a public cloud provider, benchmark against other popular solutions available (that are not always the best for such ad-hoc applications), and describe some user experiences with the framework, which was employed for a number of dedicated astronomical data analysis techniques workshops.

A Framework for Building Hypercubes Using MapReduce

The European Space Agency's Gaia mission will create the largest and most precise three dimensional chart of our galaxy (the Milky Way), by providing unprecedented position, parallax, proper motion, and radial velocity measurements for about one billion stars. The resulting catalogue will be made available to the scientific community and will be analyzed in many different ways, including the production of a variety of statistics. The latter will often entail the generation of multidimensional histograms and hypercubes as part of the precomputed statistics for each data release, or for scientific analysis involving either the final data products or the raw data coming from the satellite instruments. In this paper we present and analyze a generic framework that allows the hypercube generation to be easily done within a MapReduce infrastructure, providing all the advantages of the new Big Data analysis paradigmbut without dealing with any specific interface to the lower level distributed system implementation (Hadoop). Furthermore, we show how executing the framework for different data storage model configurations (i.e. row or column oriented) and compression techniques can considerably improve the response time of this type of workload for the currently available simulated data of the mission. In addition, we put forward the advantages and shortcomings of the deployment of the framework on a public cloud provider, benchmark against other popular solutions available (that are not always the best for such ad-hoc applications), and describe some user experiences with the framework, which was employed for a number of dedicated astronomical data analysis techniques workshops.

Schemata as a framework for full body and physical design interfaces

Digital art interfaces presents cognitiveparadigms that deals with the recognition of the symbols and representations through interaction.What is presented in this paper is anapproximation of the bodily experience in that particular scenario and a new proposal which has the aim to contribute more ideas and criteria in the analysis of the learning process of aparticipant discovering an interactive space or interface. For that I propose a first new approach where metaphorically I tried to extrapolate the stages of the psychology of development stated byJean Piaget in the interface design domain.