Um método de linearização local com passo adaptativo para solução numérica de equações diferenciais estocásticas com ruído aditivo

Neste trabalho apresentamos um novo método numérico com passo adaptativo baseado na abordagem de linearização local, para a integração de equações diferenciais estocásticas com ruído aditivo. Propomos, também, um esquema computacional que permite a implementação eficiente deste método, adaptando adequadamente o algorítimo de Padé com a estratégia “scaling-squaring” para o cálculo das exponenciais de matrizes envolvidas. Antes de introduzirmos a construção deste método, apresentaremos de forma breve o que são equações diferenciais estocásticas, a matemática que as fundamenta, a sua relevância para a modelagem dos mais diversos fenômenos, e a importância da utilização de métodos numéricos para avaliar tais equações. Também é feito um breve estudo sobre estabilidade numérica. Com isto, pretendemos introduzir as bases necessárias para a construção do novo método/esquema. Ao final, vários experimentos numéricos são realizados para mostrar, de forma prática, a eficácia do método proposto, e compará-lo com outros métodos usualmente utilizados.

Spatial electric load forecasting using a local movement approach

An agent based model for spatial electric load forecasting using a local movement approach for the spatiotemporal allocation of the new loads in the service zone is presented. The density of electrical load for each of the major consumer classes in each sub-zone is used as the current state of the agents. The spatial growth is simulated with a walking agent who starts his path in one of the activity centers of the city and goes to the limits of the city following a radial path depending on the different load levels. A series of update rules are established to simulate the S growth behavior and the complementarity between classes. The results are presented in future load density maps. The tests in a real system from a mid-size city show a high rate of success when compared with other techniques. The most important features of this methodology are the need for few data and the simplicity of the algorithm, allowing for future scalability. © 2009 IEEE.

A Numerical method for the semilinear stochastic transport equation

Trabalho apresentado no XXXV CNMAC, Natal-RN, 2014.

Computer simulation of the stochastic transport equation

Trabalho apresentado no 37th Conference on Stochastic Processes and their Applications - July 28 - August 01, 2014 -Universidad de Buenos Aires

Redevances forestièrse annuelles et développement local au Cameroun : expériences de deux communes rurales : une analyse anthropologique

Notre thèse étudie les liens entre les « redevances forestières annuelles » (RFA) et le « développement local » dans deux communes du Cameroun. Ce travail anthropologique s’inscrit dans le débat qui se fait à l’échelle internationale relativement au rôle et au devenir des populations locales dans la gestion des ressources naturelles. Dans le passé, la gestion des redevances forestières annuelles (RFA) a été, dans les pays d’Afrique centrale et au Cameroun en particulier, sous la seule responsabilité de l’État central. Une telle politique n’offrait pas la garantie nécessaire à l’utilisation durable de ces ressources qui sont indispensables à la vie des populations villageoises riveraines et à l’équilibre de l’environnement. Profitant de la crise des années 1980 et 1990 en Afrique, le FMI et la Banque mondiale ont exercé une pression sur les États africains pour qu’ils revoient, en conformité avec la Conférence de Rio (1992), leurs politiques en matière de gestion et de conservation des ressources forestières. Dans le bassin du Congo, le Cameroun a été le tout premier pays à réviser, en 1994, ses lois forestières par le biais d’une décentralisation de la fiscalité forestière : les taxes perçues furent réparties entre l’État, les collectivités territoriales décentralisées et les populations villageoises riveraines. Les fonds transférés aux communes et aux populations riveraines devaient servir au développement local en contribuant notamment à l’amélioration des conditions générales de vie des populations à travers la réalisation d’œuvres sociales, l’adduction d’eau, la construction et l’entretien des routes, des écoles, des cases de santé, etc. Dans les faits, l’impact de la fiscalité forestière décentralisée reste à ce jour encore peu visible sur la dynamique du développement local des communes. Notre projet de recherche doctorale prend place dans le domaine d’une anthropologie du développement centrée sur l’étude des solutions que les populations locales apportent aux problèmes auxquels elles sont confrontées dans leur vie de tous les jours. L’analyse des impacts que les politiques de développement économique exercent sur les populations villageoises d’Afrique est ici à l’avant-plan, pas seulement au sens d’une critique des politiques étatiques en matière d’exploitation forestière, mais aussi au sens d’une meilleure compréhension des conditions de mise en œuvre de ces politiques et de l’impact de celles-ci sur les populations villageoises, tant sur le plan des avantages financiers directs que des transformations écologiques que les activités forestières introduisent dans les pratiques agricoles des villageois. Sur le plan méthodologique, il faut noter que ce fut très difficile d’obtenir les informations nécessaires, notre sujet d’étude se révélant être très sensible quant à sa portée politique. Nous avons néanmoins pu recueillir un solide ensemble de données par le biais d’une démarche de proximité de type qualitatif qui a été conduite dans deux communes forestières qui représentent deux réalités différentes en matière de gestion des RFA. La collecte des données a été faite, de manière intensive, dans sept villages qui répondaient à nos critères : nous avons ainsi pu étudier, de manière approfondie, la situation des groupes sociaux les plus défavorisés qui sont exclus dans le partage des revenus forestiers. Pour construire notre cadre théorique, nous avons combiné des éléments empruntés aux théories environnementales, à l’anthropologie économique et à l’analyse des modes de gestion. Il faut noter, par ailleurs, que l’anthropologue n’est ni un aménagiste, ni un environnementaliste, ni un spécialiste des études managériales. Nous avons conduit notre étude comparative dans les communes concernées en nous fixant pour objectif de comprendre les mécanismes de gestion des RFA mis en place par les leaders locaux et d’évaluer leur impact sur l’amélioration des conditions de vie des populations villageoises et sur leur écosystème. Notre préoccupation était de savoir si les RFA constituent des vecteurs de développement socioéconomique pour des populations vivant dans et de la forêt.

Whose peace? Local ownership and UN peacebuilding

In recent years, there has been an increasing emphasis on the participation of national actors in United Nations peace operations, reflecting what has become a near orthodox commitment to ‘local ownership.’ Advocates of local ownership assert that it: (1) increases the legitimacy of UN peacebuilding efforts; (2) increases the sustainability of peacebuilding activities after the departure of the UN; and (3) increases democratic governance in post-conflict states. While such thinking about local ownership has informed UN peacebuilding policy to a large extent, the UN has, to date, assumed these positive benefits without critically examining the causal mechanisms that allegedly produce them, specifying the conditions under which this correlation holds, or providing convincing evidence for these assertions. Moreover, exactly what local ownership is, what is being owned, and who local ‘owners’ are remain unclear. Indeed a closer examination of ownership’s relation with legitimacy, sustainability, and democratization reveal a plethora of contradictions that imply that local ownership may in fact decrease the UN’s ability to deliver peacekeeping results. Crucially, however, the UN persists in adopting a local ownership approach to peacebuilding, suggesting that it does so because it is normatively appropriate rather than operationally effective.

Local influence for Student-t partially linear models

In this paper we extend partial linear models with normal errors to Student-t errors Penalized likelihood equations are applied to derive the maximum likelihood estimates which appear to be robust against outlying observations in the sense of the Mahalanobis distance In order to study the sensitivity of the penalized estimates under some usual perturbation schemes in the model or data the local influence curvatures are derived and some diagnostic graphics are proposed A motivating example preliminary analyzed under normal errors is reanalyzed under Student-t errors The local influence approach is used to compare the sensitivity of the model estimates (C) 2010 Elsevier B V All rights reserved

A Higher order and stable method for the numerical integration of Random Differential Equations

Trabalho apresentado no Congresso Nacional de Matemática Aplicada à Indústria, 18 a 21 de novembro de 2014, Caldas Novas - Goiás

A linearization-based system reliability method with application to geotechnical analysis

Los análisis de fiabilidad representan una herramienta adecuada para contemplar las incertidumbres inherentes que existen en los parámetros geotécnicos. En esta Tesis Doctoral se desarrolla una metodología basada en una linealización sencilla, que emplea aproximaciones de primer o segundo orden, para evaluar eficientemente la fiabilidad del sistema en los problemas geotécnicos. En primer lugar, se emplean diferentes métodos para analizar la fiabilidad de dos aspectos propios del diseño de los túneles: la estabilidad del frente y el comportamiento del sostenimiento. Se aplican varias metodologías de fiabilidad — el Método de Fiabilidad de Primer Orden (FORM), el Método de Fiabilidad de Segundo Orden (SORM) y el Muestreo por Importancia (IS). Los resultados muestran que los tipos de distribución y las estructuras de correlación consideradas para todas las variables aleatorias tienen una influencia significativa en los resultados de fiabilidad, lo cual remarca la importancia de una adecuada caracterización de las incertidumbres geotécnicas en las aplicaciones prácticas. Los resultados también muestran que tanto el FORM como el SORM pueden emplearse para estimar la fiabilidad del sostenimiento de un túnel y que el SORM puede mejorar el FORM con un esfuerzo computacional adicional aceptable. Posteriormente, se desarrolla una metodología de linealización para evaluar la fiabilidad del sistema en los problemas geotécnicos. Esta metodología solamente necesita la información proporcionada por el FORM: el vector de índices de fiabilidad de las funciones de estado límite (LSFs) que componen el sistema y su matriz de correlación. Se analizan dos problemas geotécnicos comunes —la estabilidad de un talud en un suelo estratificado y un túnel circular excavado en roca— para demostrar la sencillez, precisión y eficiencia del procedimiento propuesto. Asimismo, se reflejan las ventajas de la metodología de linealización con respecto a las herramientas computacionales alternativas. Igualmente se muestra que, en el caso de que resulte necesario, se puede emplear el SORM —que aproxima la verdadera LSF mejor que el FORM— para calcular estimaciones más precisas de la fiabilidad del sistema. Finalmente, se presenta una nueva metodología que emplea Algoritmos Genéticos para identificar, de manera precisa, las superficies de deslizamiento representativas (RSSs) de taludes en suelos estratificados, las cuales se emplean posteriormente para estimar la fiabilidad del sistema, empleando la metodología de linealización propuesta. Se adoptan tres taludes en suelos estratificados característicos para demostrar la eficiencia, precisión y robustez del procedimiento propuesto y se discuten las ventajas del mismo con respecto a otros métodos alternativos. Los resultados muestran que la metodología propuesta da estimaciones de fiabilidad que mejoran los resultados previamente publicados, enfatizando la importancia de hallar buenas RSSs —y, especialmente, adecuadas (desde un punto de vista probabilístico) superficies de deslizamiento críticas que podrían ser no-circulares— para obtener estimaciones acertadas de la fiabilidad de taludes en suelos. Reliability analyses provide an adequate tool to consider the inherent uncertainties that exist in geotechnical parameters. This dissertation develops a simple linearization-based approach, that uses first or second order approximations, to efficiently evaluate the system reliability of geotechnical problems. First, reliability methods are employed to analyze the reliability of two tunnel design aspects: face stability and performance of support systems. Several reliability approaches —the first order reliability method (FORM), the second order reliability method (SORM), the response surface method (RSM) and importance sampling (IS)— are employed, with results showing that the assumed distribution types and correlation structures for all random variables have a significant effect on the reliability results. This emphasizes the importance of an adequate characterization of geotechnical uncertainties for practical applications. Results also show that both FORM and SORM can be used to estimate the reliability of tunnel-support systems; and that SORM can outperform FORM with an acceptable additional computational effort. A linearization approach is then developed to evaluate the system reliability of series geotechnical problems. The approach only needs information provided by FORM: the vector of reliability indices of the limit state functions (LSFs) composing the system, and their correlation matrix. Two common geotechnical problems —the stability of a slope in layered soil and a circular tunnel in rock— are employed to demonstrate the simplicity, accuracy and efficiency of the suggested procedure. Advantages of the linearization approach with respect to alternative computational tools are discussed. It is also found that, if necessary, SORM —that approximates the true LSF better than FORM— can be employed to compute better estimations of the system’s reliability. Finally, a new approach using Genetic Algorithms (GAs) is presented to identify the fully specified representative slip surfaces (RSSs) of layered soil slopes, and such RSSs are then employed to estimate the system reliability of slopes, using our proposed linearization approach. Three typical benchmark-slopes with layered soils are adopted to demonstrate the efficiency, accuracy and robustness of the suggested procedure, and advantages of the proposed method with respect to alternative methods are discussed. Results show that the proposed approach provides reliability estimates that improve previously published results, emphasizing the importance of finding good RSSs —and, especially, good (probabilistic) critical slip surfaces that might be non-circular— to obtain good estimations of the reliability of soil slope systems.

Estágio profissional: Câmara Municipal da Trofa

Relatório de Estágio apresentado ao Instituto Superior de Contabilidade e Administração do Porto para a obtenção do Grau de Mestre em Auditoria Orientador: Rodrigo Mário Oliveira Carvalho, Dr. Coorientador: Vicente António Fernandes Seixas, Dr.

Constraint reasoning for differential models

The basic motivation of this work was the integration of biophysical models within the interval constraints framework for decision support. Comparing the major features of biophysical models with the expressive power of the existing interval constraints framework, it was clear that the most important inadequacy was related with the representation of differential equations. System dynamics is often modelled through differential equations but there was no way of expressing a differential equation as a constraint and integrate it within the constraints framework. Consequently, the goal of this work is focussed on the integration of ordinary differential equations within the interval constraints framework, which for this purpose is extended with the new formalism of Constraint Satisfaction Differential Problems. Such framework allows the specification of ordinary differential equations, together with related information, by means of constraints, and provides efficient propagation techniques for pruning the domains of their variables. This enabled the integration of all such information in a single constraint whose variables may subsequently be used in other constraints of the model. The specific method used for pruning its variable domains can then be combined with the pruning methods associated with the other constraints in an overall propagation algorithm for reducing the bounds of all model variables. The application of the constraint propagation algorithm for pruning the variable domains, that is, the enforcement of local-consistency, turned out to be insufficient to support decision in practical problems that include differential equations. The domain pruning achieved is not, in general, sufficient to allow safe decisions and the main reason derives from the non-linearity of the differential equations. Consequently, a complementary goal of this work proposes a new strong consistency criterion, Global Hull-consistency, particularly suited to decision support with differential models, by presenting an adequate trade-of between domain pruning and computational effort. Several alternative algorithms are proposed for enforcing Global Hull-consistency and, due to their complexity, an effort was made to provide implementations able to supply any-time pruning results. Since the consistency criterion is dependent on the existence of canonical solutions, it is proposed a local search approach that can be integrated with constraint propagation in continuous domains and, in particular, with the enforcing algorithms for anticipating the finding of canonical solutions. The last goal of this work is the validation of the approach as an important contribution for the integration of biophysical models within decision support. Consequently, a prototype application that integrated all the proposed extensions to the interval constraints framework is developed and used for solving problems in different biophysical domains.

Dynamical features of reaction-diffusion fronts in fractals

The speed of front propagation in fractals is studied by using (i) the reduction of the reaction-transport equation into a Hamilton-Jacobi equation and (ii) the local-equilibrium approach. Different equations proposed for describing transport in fractal media, together with logistic reaction kinetics, are considered. Finally, we analyze the main features of wave fronts resulting from this dynamic process, i.e., why they are accelerated and what is the exact form of this acceleration

Speed of reaction-diffusion fronts in spatially heterogeneous media

The front speed problem for nonuniform reaction rate and diffusion coefficient is studied by using singular perturbation analysis, the geometric approach of Hamilton-Jacobi dynamics, and the local speed approach. Exact and perturbed expressions for the front speed are obtained in the limit of large times. For linear and fractal heterogeneities, the analytic results have been compared with numerical results exhibiting a good agreement. Finally we reach a general expression for the speed of the front in the case of smooth and weak heterogeneities

Proton emission off nuclei induced by kaons in flight

We study the (K-, p) reaction on nuclei with a 1 GeV/c momentum kaon beam, paying special attention to the region of emitted protons having kinetic energy above 600 MeV, which was used to claim a deeply attractive kaon nucleus optical potential. Our model describes the nuclear reaction in the framework of a local density approach and the calculations are performed following two different procedures: one is based on a many-body method using the Lindhard function and the other is based on a Monte Carlo simulation. The simulation method offers flexibility to account for processes other than kaon quasielastic scattering, such as K- absorption by one and two nucleons, producing hyperons, and allows consideration of final-state interactions of the K-, the p, and all other primary and secondary particles on their way out of the nucleus, as well as the weak decay of the produced hyperons into pi N. We find a limited sensitivity of the cross section to the strength of the kaon optical potential. We also show a serious drawback in the experimental setup-the requirement for having, together with the energetic proton, at least one charged particle detected in the decay counter surrounding the target-as we find that the shape of the original cross section is appreciably distorted, to the point of invalidating the claims made in the experimental paper on the strength of the kaon nucleus optical.

Juvenile Crime Prevention Community Grand Fund Outcomes Report and FY2002 Juvenile Justice Youth Development Program Summary, January 2002

This document contains two related, but separate reports. The Juvenile Crime Prevention Community Grant Fund Outcomes Report is a summary of outcomes from services and activities funded through the Juvenile Crime Prevention Community Grant Fund in FY2001. The Juvenile Justice Youth Development Program Summary describes Iowa communities’ current prevention and sanction programs supported with funding from the Division of Criminal and Juvenile Justice Planning (CJJP) during FY2002. The material in Juvenile Crime Prevention Community Grant Fund Outcomes Report is presented in response to a legislative mandate to report specific prevention outcomes for the community Grant Fund. It includes a brief description of a Youth Development Results Framework established by the Iowa Collaboration for Youth Development. Outcomes are reported using this results framework, which was developed by a number of state agencies as a common tool for various state programs involving youth development related planning and funding processes. Included in this report is a description of outcomes from the prevention activities funded, all or in part, by the Community Grant Fund, as reported by local communities. The program summaries presented in the Juvenile Justice Youth Development Program Summary provide an overview of local efforts to implement their 2002 Juvenile Justice Youth Development plans and include prevention and sanction programs funded through the combined resources of the State Community Grant Fund and the Federal Title V Prevention, Juvenile Justice & Delinquency Prevention Act Formula Grant and Juvenile Accountability Incentive Block Grant programs. These combined funds are referred to in this document as the Juvenile Justice Youth Development (JJYD) funds. To administer the JJYD funds, including funds from the Community Grant Fund, CJJP partners with local officials to facilitate a community planning process that determines the communities’ priorities for the use of the funds. The local planning is coordinated by the Iowa’s Decategorization Boards (Decats). These local officials and/or their staff have been leaders in providing oversight or staff support to a variety of local planning initiatives (e.g. child welfare, Comprehensive Strategy Pilot Projects, Empowerment, other) and bring child welfare and community planning experience to the table for the creation of comprehensive community longterm planning efforts. The allocation of these combined funds and the technical assistance received by the Decats from CJJP is believed to have helped enhance both child welfare and juvenile justice efforts locally and has provided for the recognition and establishment of connections for joint child welfare/juvenile justice planning. The allocation and local planning approach has allowed funding from CJJP to be “blended” or “braided” with other local, state, and federal dollars that flow to communities as a result of their local planning responsibilities. The program descriptions provided in this document reflect services and activities supported with JJYD funds. In many cases, however, additional funding sources have been used to fully fund the programs. Most of the information in this document’s two reports was submitted to CJJP by the communities through an on- line planning and reporting process established jointly by the DHS and CJJP.