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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Community development in El Mirador, Nicaragua, post Hurricane Mitch : NGO involvement and community cohesion : a thesis submitted for the degree of Masters [i.e. Master] of Arts in Geography at the University of Canterbury /

Tomlinson, Rewa. January 2006 (has links)
Thesis (M.A.)--University of Canterbury, 2006. / Typescript (photocopy). Includes bibliographical references (leaves 76-83). Also available via the World Wide Web.
2

Alocação de tarefas de desastre na plataforma RMASBench : uma abordagem baseada em passagem de mensagens e formação de grupos / Allocation of disaster tasks in the RMASBench platform : an approach based on message passing and group formation

Corrêa, Abel January 2015 (has links)
Em ambientes de desastre urbano, grupos de agentes de resgate devem resolver tarefas de modo a minimizar os danos que podem ocorrer na cidade. Tais ambientes são dinâmicos e parcialmente observáveis, com características que dizem respeito à distância espacial, quantidade de recursos, à dificuldade da tarefa de desastre e à capacidade do agente de atendê-la. A comunicação entre os agentes pode ser ruidosa ou inexistente. Os sistemas multiagente são desenvolvidos para resolver problemas complexos e abrangentes, que estão além da capacidade de um único agente. Nesse contexto, os agentes são elementos computacionais autônomos que são responsáveis por uma parte da solução do problema. Os agentes são situados em um ambiente e podem ter habilidade social, interagindo com outros agentes para resolver as tarefas. Comumente, o domínio de desastre urbano é formalizado como um problema de alocação de tarefas e modelado como um problema de otimização de restrições distribuídas entre agentes heterogêneos, onde eles têm que escolher as tarefas que maximizam suas utilidades individuais ou minimizem seus custos individuais. Essa dissertação de mestrado propõe um modelo para formação de grupos de agentes baseado na minimização de uma métrica de distância. O modelo é formalizado como um problema de otimização de restrições distribuídas, usando algoritmos para troca de mensagens entre os agentes. O modelo chamado Formação de Grupos pela Minimização da Distância (FGMD) tem agentes autônomos que tem a capacidade de se auto-organizar sem a necessidade de um controle centralizado. Aplicamos o FGMD na plataforma RMASBench, que é um simulador para situações de desastre urbano. Comparou-se o FGMD com os algoritmos mais recentes de passagem de mensagens, tendo sido verificado que o FGMD use menos computação não-paralela. Com respeito a minimização dos danos na cidade, mostrou-se que é possível obter resultados melhores que as abordagens do estado-da-arte com leve aumento no esforço computacional. / In urban disaster environments, groups of rescue agents must solve tasks in order to minimize the damage that can occur in a city. Such environments are dynamic and partially observable, with features that correspond to spatial distance, amount of resources, difficulty of the disaster task, and the capability of the agent to handle it. The communication between the agents can be noisy or non-existent. Multiagent systems are developed to solve complex and comprehensive problems, that are beyond the capability of one single agent. In this context, the agents are autonomous computational elements that are responsible for a piece of the solution of the problem. The agents are situated in an environment, and may have social ability, interacting with other agents to solve the tasks. Commonly, the urban disaster domain is formalized as a task allocation problem, and modelled as a constraint optimization problem distributed among heterogeneous agents, where they have to choose the tasks that maximize their individual utilities or minimize their individual costs. This master thesis proposes a model for formation of groups of agents based in the minimization of a distance. The model is formalized as a distributed constraint optimization problem, using algorithms to exchange messages between agents. The model called Formation of Groups by Minimization of Distance (FGMD) has self-organizing autonomous agents without a centralized control. We applied the FGMD in the RMASBench platform, that is a simulator for urban disaster situations. We compare the FGMD with the most recent message passing algorithms, verifying that FGMD uses less non-parallel computation. With respect to the minimization of the damage in the city, we show that it is possible to obtain better results than the state-of-art approaches, with slightly increase of computational effort.
3

Alocação de tarefas de desastre na plataforma RMASBench : uma abordagem baseada em passagem de mensagens e formação de grupos / Allocation of disaster tasks in the RMASBench platform : an approach based on message passing and group formation

Corrêa, Abel January 2015 (has links)
Em ambientes de desastre urbano, grupos de agentes de resgate devem resolver tarefas de modo a minimizar os danos que podem ocorrer na cidade. Tais ambientes são dinâmicos e parcialmente observáveis, com características que dizem respeito à distância espacial, quantidade de recursos, à dificuldade da tarefa de desastre e à capacidade do agente de atendê-la. A comunicação entre os agentes pode ser ruidosa ou inexistente. Os sistemas multiagente são desenvolvidos para resolver problemas complexos e abrangentes, que estão além da capacidade de um único agente. Nesse contexto, os agentes são elementos computacionais autônomos que são responsáveis por uma parte da solução do problema. Os agentes são situados em um ambiente e podem ter habilidade social, interagindo com outros agentes para resolver as tarefas. Comumente, o domínio de desastre urbano é formalizado como um problema de alocação de tarefas e modelado como um problema de otimização de restrições distribuídas entre agentes heterogêneos, onde eles têm que escolher as tarefas que maximizam suas utilidades individuais ou minimizem seus custos individuais. Essa dissertação de mestrado propõe um modelo para formação de grupos de agentes baseado na minimização de uma métrica de distância. O modelo é formalizado como um problema de otimização de restrições distribuídas, usando algoritmos para troca de mensagens entre os agentes. O modelo chamado Formação de Grupos pela Minimização da Distância (FGMD) tem agentes autônomos que tem a capacidade de se auto-organizar sem a necessidade de um controle centralizado. Aplicamos o FGMD na plataforma RMASBench, que é um simulador para situações de desastre urbano. Comparou-se o FGMD com os algoritmos mais recentes de passagem de mensagens, tendo sido verificado que o FGMD use menos computação não-paralela. Com respeito a minimização dos danos na cidade, mostrou-se que é possível obter resultados melhores que as abordagens do estado-da-arte com leve aumento no esforço computacional. / In urban disaster environments, groups of rescue agents must solve tasks in order to minimize the damage that can occur in a city. Such environments are dynamic and partially observable, with features that correspond to spatial distance, amount of resources, difficulty of the disaster task, and the capability of the agent to handle it. The communication between the agents can be noisy or non-existent. Multiagent systems are developed to solve complex and comprehensive problems, that are beyond the capability of one single agent. In this context, the agents are autonomous computational elements that are responsible for a piece of the solution of the problem. The agents are situated in an environment, and may have social ability, interacting with other agents to solve the tasks. Commonly, the urban disaster domain is formalized as a task allocation problem, and modelled as a constraint optimization problem distributed among heterogeneous agents, where they have to choose the tasks that maximize their individual utilities or minimize their individual costs. This master thesis proposes a model for formation of groups of agents based in the minimization of a distance. The model is formalized as a distributed constraint optimization problem, using algorithms to exchange messages between agents. The model called Formation of Groups by Minimization of Distance (FGMD) has self-organizing autonomous agents without a centralized control. We applied the FGMD in the RMASBench platform, that is a simulator for urban disaster situations. We compare the FGMD with the most recent message passing algorithms, verifying that FGMD uses less non-parallel computation. With respect to the minimization of the damage in the city, we show that it is possible to obtain better results than the state-of-art approaches, with slightly increase of computational effort.
4

Alocação de tarefas de desastre na plataforma RMASBench : uma abordagem baseada em passagem de mensagens e formação de grupos / Allocation of disaster tasks in the RMASBench platform : an approach based on message passing and group formation

Corrêa, Abel January 2015 (has links)
Em ambientes de desastre urbano, grupos de agentes de resgate devem resolver tarefas de modo a minimizar os danos que podem ocorrer na cidade. Tais ambientes são dinâmicos e parcialmente observáveis, com características que dizem respeito à distância espacial, quantidade de recursos, à dificuldade da tarefa de desastre e à capacidade do agente de atendê-la. A comunicação entre os agentes pode ser ruidosa ou inexistente. Os sistemas multiagente são desenvolvidos para resolver problemas complexos e abrangentes, que estão além da capacidade de um único agente. Nesse contexto, os agentes são elementos computacionais autônomos que são responsáveis por uma parte da solução do problema. Os agentes são situados em um ambiente e podem ter habilidade social, interagindo com outros agentes para resolver as tarefas. Comumente, o domínio de desastre urbano é formalizado como um problema de alocação de tarefas e modelado como um problema de otimização de restrições distribuídas entre agentes heterogêneos, onde eles têm que escolher as tarefas que maximizam suas utilidades individuais ou minimizem seus custos individuais. Essa dissertação de mestrado propõe um modelo para formação de grupos de agentes baseado na minimização de uma métrica de distância. O modelo é formalizado como um problema de otimização de restrições distribuídas, usando algoritmos para troca de mensagens entre os agentes. O modelo chamado Formação de Grupos pela Minimização da Distância (FGMD) tem agentes autônomos que tem a capacidade de se auto-organizar sem a necessidade de um controle centralizado. Aplicamos o FGMD na plataforma RMASBench, que é um simulador para situações de desastre urbano. Comparou-se o FGMD com os algoritmos mais recentes de passagem de mensagens, tendo sido verificado que o FGMD use menos computação não-paralela. Com respeito a minimização dos danos na cidade, mostrou-se que é possível obter resultados melhores que as abordagens do estado-da-arte com leve aumento no esforço computacional. / In urban disaster environments, groups of rescue agents must solve tasks in order to minimize the damage that can occur in a city. Such environments are dynamic and partially observable, with features that correspond to spatial distance, amount of resources, difficulty of the disaster task, and the capability of the agent to handle it. The communication between the agents can be noisy or non-existent. Multiagent systems are developed to solve complex and comprehensive problems, that are beyond the capability of one single agent. In this context, the agents are autonomous computational elements that are responsible for a piece of the solution of the problem. The agents are situated in an environment, and may have social ability, interacting with other agents to solve the tasks. Commonly, the urban disaster domain is formalized as a task allocation problem, and modelled as a constraint optimization problem distributed among heterogeneous agents, where they have to choose the tasks that maximize their individual utilities or minimize their individual costs. This master thesis proposes a model for formation of groups of agents based in the minimization of a distance. The model is formalized as a distributed constraint optimization problem, using algorithms to exchange messages between agents. The model called Formation of Groups by Minimization of Distance (FGMD) has self-organizing autonomous agents without a centralized control. We applied the FGMD in the RMASBench platform, that is a simulator for urban disaster situations. We compare the FGMD with the most recent message passing algorithms, verifying that FGMD uses less non-parallel computation. With respect to the minimization of the damage in the city, we show that it is possible to obtain better results than the state-of-art approaches, with slightly increase of computational effort.
5

The urban planning of Istanbul and the provision of green resilient zones in an earthquake-hit metropolitan area -A case study of Istanbul & Avcılar

Högberg Yilmaz, Melissa January 2020 (has links)
This paper examines how green areas may be used as strategic recovery zones in the event of an earthquake and how these zones may strengthen the resilience for future quakes in Istanbul. The paper also refers to investigating why the planning system in Turkey can pose a threat for the provision of green areas. Green areas have proven to be an important feature in natural disaster stricken cities for coping with disasters by strengthening the city’s resilience. However due to rapid population growth and high demand for housing and infrastructure, green areas risk disappearing when the city expands. This problem is evident all major cities of turkey and particularly in the country’s largest city Istanbul, where green areas are benign exploited instead of preserved; leaving larger city’s such as Istanbul vulnerable for future earthquake disasters. The high demand for new housing and functioning infrastructure in conjunction with a complicated planning system in Turkey leads to a vaguely regulated planning system, which creates a threat to green areas. This creates an uncertain situation for the city's ability and resilience to withstand a future earthquake disaster. The study will be based on a qualitative method. The empirical material will be presented through a previous research overview and a case study, which is also based on previous research on the subject. Essay analysis will be performed based on a quantitative text analysis based on concepts; urban disaster resilience, green infrastructure, land use planning and governance, presented in the essays theoretical framework. The general conclusions of the study are that there is a lack of good governance in the planning system in Turkey, which creates restrictions for a sustainable and resilient urban planning in the city of Istanbul. Green areas are resilience and capacity building areas in the city to handle future earthquake disaster, by providing open recovery zones in a densely built city. It is therefore important to plan for a long-term land use and to regard the green areas in the city to uphold strong urban disaster resilience for future earthquakes in Istanbul.
6

Urban Coastal Settlements: Implementation Of A Coastal Area Assessment Model In Iskenderun Case

Cakir, Bilge 01 August 2010 (has links) (PDF)
Coastal urban settlements require a special planning approach since they bring the concepts of &ldquo / urban&rdquo / and &ldquo / coastal&rdquo / together. In relation to the specific contents of these concepts, there are also different models of management plans. &ldquo / Urban Disaster Risk Management&rdquo / and &ldquo / Integrated Coastal Zone Management&rdquo / are two of them. Urban Disaster Risk Management model deals with the planning and management problems of urban settlements in the case of disaster risk conditions. Likewise, Integrated Coastal Zone Management model focuses on the whole coastal area and deals with the sustainable use and protection of all types of coastal resources. However, in case of urban coastal settlements, these models of management plans can be valid together, can overlap, and they can even conflict with each other. In this thesis study, these two models of management plan and their coexistence are considered. A Coastal Area Assessment Model is set up and applied for Iskenderun case. This model provides a detailed spatial analysis opportunity in planning and management of coastal urban settlement. Therefore the model offers a significant input for the planning process through determining urban and coastal risks at the same time. Coastal Area Assessment Model is a tool which takes both Urban Disaster Risk Management and Integrated Coastal Zone Management models&rsquo / concerns into account and evaluates the coastal settlement in terms of urban risk sectors and coastal management issues. This study also introduces an approach on classification of the coastal areas and coastal urban settlements while setting up the Coastal Area Assessment Model. Coastal Area Assessment Model becomes an advantageous tool since it has significant contributions to the planning process by making a simple risk analysis and guiding the proper utilization and protection of the population, built environment, and resources of the coastal areas. Risk sectors, coastal management issues, critical and prior intervention areas of a coastal urban settlement are easily determined, and preparation of development plans of a coastal settlement is guided by the implementation of Coastal Area Assessment Model. In addition to these, general principles on planning and management of coastal settlements are determined by the implementation of the model for the implementation conditions of Urban Disaster Risk Management model, Integrated Coastal Zone Management model, and the Coastal Area Assessment Model in Turkey are also discussed and presented.

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