<p>The decision process of which technique to choose for remediation of contaminated sites has traditionally focused on the clean up level, the time required and the economical resources. The environmental costs of the remediation are seldom taken into consideration. With a Life Cycle Assessment (LCA) it is possible to receive an overall picture of the environmental impacts caused by a remediation technique. In this thesis a comparison of two LCA methods has been made. The methods are named REC and Uva and are used in the Netherlands and Germany. Two remediation techniques, the adsorption technique and the bioremediation technique, were compared and data from a discontinued petrol station were used. The output from the REC method indicated that the adsorption technique causes more environmental costs then the bioremediation technique. The main reason is because the adsorption technique consumes more groundwater and energy. The UvA method presented a different result. According to this method the bioremediation technique causes more environmental costs. This is because the bioremediation technique consumes more energy and causes more emissions. The main reasons of the difference between the REC and the UvA methods are that they use diverse ways to calculate the consumption of energy, have different system boundaries and consider different impact categories. A conclusion of the present study is that a decision process of which remediation technique to use at a contaminated site could be dependent on which method is used as a decision support tool.</p>

Providing computer-aided support for human analysis of videos has been a battle of extremes. Powerful solutions exist, but they tend to be domain-specific and complex. The user-friendly, simple systems provide little analysis support beyond basic media player functionality. We propose a human-centered, domain-independent solution between these two points. Our proposed model and system, VAST, is based on our experience in two diverse video analysis domains: science and athletics. Multiple-perspective location metadata is used to group related video clips together. Users interact with these clip groups through a novel interaction paradigm ? views. Each view provides a different context by which users can judge and evaluate the events that are captured by the video. Easy conversion between views allows the user to quickly switch between contexts. The model is designed to support a variety of user goals and expertise with minimal producer overhead. To evaluate our model, we developed a system prototype and conducted several rounds of user testing requiring the analysis of volleyball practice videos. The user tasks included: foreground analysis, ambiguous identification, background analysis, and planning. Both domain novices and experts participated in the study. User feedback, participant performance, and system logs were used to evaluate the system. VAST successfully supported a variety of problem solving strategies employed by participants during the course of the study. Participants had no difficulty handling multiple views (and resulting multiple video clips) simultaneously opened in the workspace. The capability to view multiple related clips at one time was highly regarded. In all tasks, except the open-ended portion of the background analysis, participants performed well. However, performance was not significantly influenced by domain expertise. Participants had a favorable opinion of the system?s intuitiveness, ease of use, enjoyability, and aesthetics. The majority of participants stated a desire to use VAST outside of the study, given the opportunity.

From 2010 to 2030, the number of instrument flight rules aircraft operations handled by Federal Aviation Administration en route traffic centers is predicted to increase from approximately 39 million flights to 64 million flights. The projected growth in air transportation demand is likely to result in traffic levels that exceed the abilities of the unaided air traffic controller in managing, separating, and providing services to aircraft. Consequently, the Federal Aviation Administration, and other air navigation service providers around the world, are making several efforts to improve the capacity and throughput of existing airspaces. Ultimately, the stated goal of the Federal Aviation Administration is to triple the available capacity of the National Airspace System by 2025. In an effort to satisfy air traffic demand through the increase of airspace capacity, air navigation service providers are considering the inclusion of advisory conflict-detection and resolution systems. In a human-in-the-loop framework, advisory conflict-detection and resolution decision-support tools identify potential conflicts and propose resolution commands for the air traffic controller to verify and issue to aircraft. A number of researchers and air navigation service providers hypothesize that the inclusion of combined conflict-detection and resolution tools into air traffic control systems will reduce or transform controller workload and enable the required increases in airspace capacity. In an effort to understand the potential workload implications of introducing advisory conflict-detection and resolution tools, this thesis provides a detailed study of the conflict event process and the implementation of conflict-detection and resolution algorithms. Specifically, the research presented here examines a metric of controller taskload: how many resolution commands an air traffic controller issues under the guidance of a conflict-detection and resolution decision-support tool. The goal of the research is to understand how the formulation, capabilities, and implementation of conflict-detection and resolution tools affect the controller taskload (system demands) associated with the conflict-resolution process, and implicitly the controller workload (physical and psychological demands). Furthermore this thesis seeks to establish best practices for the design of future conflict-detection and resolution systems. To generalize conclusions on the conflict-resolution taskload and best design practices of conflict-detection and resolution systems, this thesis focuses on abstracting and parameterizing the behaviors and capabilities of the advisory tools. Ideally, this abstraction of advisory decision-support tools serves as an alternative to exhaustively designing tools, implementing them in high-fidelity simulations, and analyzing their conflict-resolution taskload. Such an approach of simulating specific conflict-detection and resolution systems limits the type of conclusions that can be drawn concerning the design of more generic algorithms. In the process of understanding conflict-detection and resolution systems, evidence in the thesis reveals that the most effective approach to reducing conflict-resolution taskload is to improve conflict-detection systems. Furthermore, studies in the this thesis indicate that there is significant flexibility in the design of conflict-resolution algorithms.

Increasing demand for energy and transportation fuel has motivated researchers all around the world to explore alternatives for a long-term sustainable source of energy. Biomass is one such renewable resource that can be converted into various marketable products by the process of biorefining. Currently, research is taking strides in developing conversion techniques for producing biofuels from multiple bio-based feedstocks. However, the greatest concern with emerging processes is the long-term viability as a sustainable source of energy. Hence, a framework is required that can incorporate novel and existing processes to validate their economic, environmental and social potential in satisfying present energy demands, without compromising the ability of future generations to meet their own energy needs. This research focuses on developing a framework that can incorporate fundamental research to determine its long-term viability, simultaneously providing critical techno-economic and decision support information to various stakeholders. This contribution links various simulation and optimization models to create a decision support tool, to estimate the viability of biorefining options in any given region. Multiple disciplines from the Process Systems Engineering and Supply Chain Management are integrated to develop the comprehensive framework. Process simulation models for thermochemical and biochemical processes are developed and optimized using Aspen Engineering Suite. Finally, for validation, the framework is analyzed by combining the outcomes of the process simulation with the supply chain models. The developed techno-economic model takes into account detailed variable costs and capital investments for various conversion processes. Subsequently, case studies are performed to demonstrate the applicability of the decision support tool for the Jackson Purchase region of Western Kentucky. The multidisciplinary framework is a unique contribution in the field of Process Systems Engineering as it demonstrates simulation of process optimization models and illustrates its iterative linking with the supply chain optimization models to estimate the economics of biorefinery from multi-stakeholder perspective. This informative tool not only assists in comparing modes of operation but also forecasts the effect of future scenarios, such as, utilization of marginal land for planting dedicated energy crops and incorporation of emerging enzymatic processes. The resulting framework is novel and informative in assisting investors, policy makers and other stakeholders for evaluating the impacts of biorefining. The results obtained supports the generalizability of this tool to be applied in any given region and guide stakeholders in making financial and strategic decisions.

Made available in DSpace on 2014-12-17T15:47:55Z (GMT). No. of bitstreams: 1 LeonidasSB_DISSERT.pdf: 3485651 bytes, checksum: 8b31ac22a031ee64526f56d3d22e949b (MD5) Previous issue date: 2011-02-25 / Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico / The course of Algorithms and Programming reveals as real obstacle for many students during the computer courses. The students not familiar with new ways of thinking required by the courses as well as not having certain skills required for this, encounter difficulties that sometimes result in the repetition and dropout. Faced with this problem, that survey on the problems experienced by students was conducted as a way to understand the problem and to guide solutions in trying to solve or assuage the difficulties experienced by students. In this paper a methodology to be applied in a classroom based on the concepts of Meaningful Learning of David Ausubel was described. In addition to this theory, a tool developed at UFRN, named Takkou, was used with the intent to better motivate students in algorithms classes and to exercise logical reasoning. Finally a comparative evaluation of the suggested methodology and traditional methodology was carried out, and results were discussed / A disciplina de Algoritmos e Programa??o se revela para muitos alunos como verdadeira barreira durante os cursos de computa??o. Estes, n?o habituados com as novas formas de pensar requeridas pela disciplina, bem como n?o possuindo certas habilidades necess?rias nesta, encontram dificuldades que, por vezes, culminam na reprova??o e evas?o. Diante de tal problem?tica, neste trabalho, um levantamento sobre os problemas vivenciados pelos alunos foi realizado, como forma de entender o problema e nortear as solu??es buscadas na tentativa de resolver ou amenizar as dificuldades encontradas pelos alunos. Aqui, foi descrita uma metodologia a ser aplicada em sala de aula com base nos conceitos da teoria do Aprendizado Significativo de David Ausubel. Al?m desta teoria, a ferramenta Takkou desenvolvida na UFRN foi utilizada com a inten??o de melhor incentivar os alunos no aprendizado de algoritmos e no exerc?cio do racioc?nio l?gico. Por fim uma pequena avalia??o comparativa entre a metodologia sugerida e a metodologia tradicional foi realizada, discutindo-se os resultados obtidos

O presente trabalho apresenta, primeiramente, o desenvolvimento e aplicação de uma Ferramenta de Apoio à Decisão (FAD), seguindo os conceitos de Sistemas de Informação (SI), para facilitar o acesso e visualização de informações técnicas estratégicas, e que possa compor um Sistema de Apoio à Decisão (SAD) que englobe o portfólio de informações necessárias para o planejamento da priorização de obras de investimento e expansão das redes de distribuição de energia. A FAD proposta realiza o tratamento de um grupo de dados relativos a incidência de interrupções de energia da rede de distribuição de uma concessionária do setor elétrico, de forma a disponibilizar as informações depuradas para auxílio na tomada assertiva de decisão para aplicação de recursos para execução de ações de manutenção em rede de distribuição. Em seguida, exibe a inclusão de uma função de análise, no aplicativo desenvolvido como Ferramenta de Apoio à Decisão (FAD), baseada na priorização multicriterial AHP (Analytic Hierarchy Process). A aplicação do método AHP indica as estações avançadas da concessionária que possuem prioridade para a aplicação de recursos que visam à execução de ações de manutenção em rede de distribuição para a melhoria nos indicadores de continuidades do fornecimento de energia. / This paper first introduces the development and application of a Decision Support Tool (FAD), following the concepts of Information Systems (IS), to facilitate the availability and visualization of strategic techniques information, and can compose a Decision Support System (DSS) that encompasses the entire portfolio of information needed for planning the prioritization of investment works and expansion of power distribution networks. The proposed FAD performs the treatment of a group of data on the incidence of power outages in the distribution of the electric utility industry network in order to provide information to aid in purified assertive decision making for application of resources for execution maintenance actions in the distribution network. Then displays the inclusion of an analysis function, the application developed as a Tool for Decision Support (FAD), multicriteria prioritization based on AHP (Analytic Hierarchy Process). The application of AHP method indicates the advanced utility stations that have priority for use of funds aimed at the implementation of maintenance actions in the distribution network to improve the indicators of continuity of power supply.

Les choix des matériaux et de leurs procédés de mise en oeuvre connaissent et vont connaître des évolutions marquantes dans le monde de l’architecture. A l’époque actuelle, les évolutions sont largement induites par les techniques, mais aussi les représentations et les préceptes qui apparaissent avec l’émergence de la notion de développement durable dans notre société.Les outils d’aide à la conception existants à l’échelle des matériaux portent principalement sur les dimensions physiques (thermique, cycle de vie des matériaux, consommations, etc.). Nos travaux se questionnent sur l’intégration des dimensions techniques, écologiques et sensibles des matériaux dans un outil d’aide à la conception basé sur l’utilisation de la référence. L’activité référentielle est une approche propre aux phases initiales de projet. Ces phases correspondent aux premières propositions décisives, qui restent peu assistées par les outils numériques.Nos travaux visent à mettre en évidence les différentes caractéristiques des matériaux, mais surtout leurs interactions. Cette étude se distingue des approches classiques des matériaux, où généralement les différentes solutions constructives sont présentées matériau par matériau. En effet, nous nous basons sur une structuration de données et de connaissances interdisciplinaires (architecture, urbanisme, paysage, aspects esthétiques, aspects techniques, aspects cognitifs, approche de la perception, approche environnementale, etc.).Ces recherches tendent vers une première proposition d’un outil d’aide à la conception nommé DILEM’MAtériaux qui prend en compte les différentes dimensions des matériaux dans leur contribution à la genèse d’idées fondatrices, à la définition d’un ou des parti(s), ou concept(s) propres aux phases initiales de projet / The choice of materials and way of implementation is known and will be known as a significant growth in the world of architecture. Actually, changes are largely induced by technical dimension, but also representations and precepts that appear with the emergence of the concept of sustainable development in our society.Design support tools about materials scale focus on the physical dimensions (thermal, life cycle, refreshments, etc.). Our work is questioning the integration of technical, environmental and sensible dimensions in a design support tool based on reference. The referential activity is a specific approach in the initial phases of designing on a project. These phases correspond to crucial choice, which remain poorly assisted by digital tools.Our work aims to highlight the different characteristics of materials, but also their interactions. This study differs from conventional approaches of materials, which generally, constructive solutions are presented material by material. Indeed, we rely on a data structure and interdisciplinary knowledge (architecture, urbanism, landscape, aesthetic, technical, cognitive, perception approach, environmental approach, etc.).This research tends to be a first proposal for a design support tool named DILEM'MAtériaux that takes into account materials in their contribution to origin of founding ideas and definition of concept, in the initial phases of designing on a project.

O presente trabalho apresenta, primeiramente, o desenvolvimento e aplicação de uma Ferramenta de Apoio à Decisão (FAD), seguindo os conceitos de Sistemas de Informação (SI), para facilitar o acesso e visualização de informações técnicas estratégicas, e que possa compor um Sistema de Apoio à Decisão (SAD) que englobe o portfólio de informações necessárias para o planejamento da priorização de obras de investimento e expansão das redes de distribuição de energia. A FAD proposta realiza o tratamento de um grupo de dados relativos a incidência de interrupções de energia da rede de distribuição de uma concessionária do setor elétrico, de forma a disponibilizar as informações depuradas para auxílio na tomada assertiva de decisão para aplicação de recursos para execução de ações de manutenção em rede de distribuição. Em seguida, exibe a inclusão de uma função de análise, no aplicativo desenvolvido como Ferramenta de Apoio à Decisão (FAD), baseada na priorização multicriterial AHP (Analytic Hierarchy Process). A aplicação do método AHP indica as estações avançadas da concessionária que possuem prioridade para a aplicação de recursos que visam à execução de ações de manutenção em rede de distribuição para a melhoria nos indicadores de continuidades do fornecimento de energia. / This paper first introduces the development and application of a Decision Support Tool (FAD), following the concepts of Information Systems (IS), to facilitate the availability and visualization of strategic techniques information, and can compose a Decision Support System (DSS) that encompasses the entire portfolio of information needed for planning the prioritization of investment works and expansion of power distribution networks. The proposed FAD performs the treatment of a group of data on the incidence of power outages in the distribution of the electric utility industry network in order to provide information to aid in purified assertive decision making for application of resources for execution maintenance actions in the distribution network. Then displays the inclusion of an analysis function, the application developed as a Tool for Decision Support (FAD), multicriteria prioritization based on AHP (Analytic Hierarchy Process). The application of AHP method indicates the advanced utility stations that have priority for use of funds aimed at the implementation of maintenance actions in the distribution network to improve the indicators of continuity of power supply.

The decision process of which technique to choose for remediation of contaminated sites has traditionally focused on the clean up level, the time required and the economical resources. The environmental costs of the remediation are seldom taken into consideration. With a Life Cycle Assessment (LCA) it is possible to receive an overall picture of the environmental impacts caused by a remediation technique. In this thesis a comparison of two LCA methods has been made. The methods are named REC and Uva and are used in the Netherlands and Germany. Two remediation techniques, the adsorption technique and the bioremediation technique, were compared and data from a discontinued petrol station were used. The output from the REC method indicated that the adsorption technique causes more environmental costs then the bioremediation technique. The main reason is because the adsorption technique consumes more groundwater and energy. The UvA method presented a different result. According to this method the bioremediation technique causes more environmental costs. This is because the bioremediation technique consumes more energy and causes more emissions. The main reasons of the difference between the REC and the UvA methods are that they use diverse ways to calculate the consumption of energy, have different system boundaries and consider different impact categories. A conclusion of the present study is that a decision process of which remediation technique to use at a contaminated site could be dependent on which method is used as a decision support tool.

O presente trabalho apresenta, primeiramente, o desenvolvimento e aplicação de uma Ferramenta de Apoio à Decisão (FAD), seguindo os conceitos de Sistemas de Informação (SI), para facilitar o acesso e visualização de informações técnicas estratégicas, e que possa compor um Sistema de Apoio à Decisão (SAD) que englobe o portfólio de informações necessárias para o planejamento da priorização de obras de investimento e expansão das redes de distribuição de energia. A FAD proposta realiza o tratamento de um grupo de dados relativos a incidência de interrupções de energia da rede de distribuição de uma concessionária do setor elétrico, de forma a disponibilizar as informações depuradas para auxílio na tomada assertiva de decisão para aplicação de recursos para execução de ações de manutenção em rede de distribuição. Em seguida, exibe a inclusão de uma função de análise, no aplicativo desenvolvido como Ferramenta de Apoio à Decisão (FAD), baseada na priorização multicriterial AHP (Analytic Hierarchy Process). A aplicação do método AHP indica as estações avançadas da concessionária que possuem prioridade para a aplicação de recursos que visam à execução de ações de manutenção em rede de distribuição para a melhoria nos indicadores de continuidades do fornecimento de energia. / This paper first introduces the development and application of a Decision Support Tool (FAD), following the concepts of Information Systems (IS), to facilitate the availability and visualization of strategic techniques information, and can compose a Decision Support System (DSS) that encompasses the entire portfolio of information needed for planning the prioritization of investment works and expansion of power distribution networks. The proposed FAD performs the treatment of a group of data on the incidence of power outages in the distribution of the electric utility industry network in order to provide information to aid in purified assertive decision making for application of resources for execution maintenance actions in the distribution network. Then displays the inclusion of an analysis function, the application developed as a Tool for Decision Support (FAD), multicriteria prioritization based on AHP (Analytic Hierarchy Process). The application of AHP method indicates the advanced utility stations that have priority for use of funds aimed at the implementation of maintenance actions in the distribution network to improve the indicators of continuity of power supply.