Mathematical methods for the configuration of transportation systems with a focus on continuous and modular matrix conveyors

The lack of flexibility in logistic systems currently on the market leads to the development of new innovative transportation systems. In order to find the optimal configuration of such a system depending on the current goal functions, for example minimization of transport times and maximization of the throughput, various mathematical methods of multi-criteria optimization are applicable. In this work, the concept of a complex transportation system is presented. Furthermore, the question of finding the optimal configuration of such a system through mathematical methods of optimization is considered.

O processo de criação do programa Universidade para Todos - PROUNI

From the end of the 80s, the Brazilian higher education experience strong growth, coming from the private sector, which would intensify further in the late 90th Higher education has become a lucrative business. With a drop in the number of students entering and strong competition, the number of idle places in private institutions of higher education reached 49.5% in 2004. That same year, by Measure, was the University for All Program (PROUNI) program, to include high school students from public higher education, offering scholarships to those students in private HEIs. In exchange, the IES gain tax exemption. The objective of this research is to investigate the game of interest occurred in the formulation of this program and identify the model and the political game and has led to the creation of PROUNI, analyzing the process occurred since the wording of a bill, the issue of Measure Law and that the legitimacy PROUNI, with the most important changes made initial model. Since the first draft of the Law to the final Act, the PROUNI was disfigured in its main points, as the percentage of stock for paying students, the process of selection of stock and bond of the IES program. Throughout the process of creating the program, it is quite clear the performance of the institutions representing the private higher education. As reference for the analysis was based on Rational Choice Theory of Political Science. The basic argument of the methods based on rational choice is the maximization of the benefit will be the main motivation of individuals, but they can give that your goals can be achieved more effectively through institutional action and thereby discover that their conduct is shaped by institutions. Thus, individuals rationally choose to get to a certain extent constrained to join in certain institutions, whether voluntarily or not. The PROUNI was submitted by government and public policy covered by the mystical aura of the discourse of social justice and economic development, as in higher education includes a stratum of people who would not have access to the university, due to restrictions in the supply network public higher education. However, the greatest benefit from the program are the private HEIs, which through a difficult time in a scenario marked by high competition and idleness of nearly half of the vacancies offered. The PROUNI became a program that prioritizes access and not the residence of the student to higher education. More serious than a supporting program for students Fellows is a program supporting the institutions of private education

Setting priorities for private land conservation in fire-prone landscapes: Are fire risk reduction and biodiversity conservation competing or compatible objectives?

Although wildfire plays an important role in maintaining biodiversity in many ecosystems, fire management to protect human assets is often carried out by different agencies than those tasked for conserving biodiversity. In fact, fire risk reduction and biodiversity conservation are often viewed as competing objectives. Here we explored the role of management through private land conservation and asked whether we could identify private land acquisition strategies that fulfill the mutual objectives of biodiversity conservation and fire risk reduction, or whether the maximization of one objective comes at a detriment to the other. Using a fixed budget and number of homes slated for development, we simulated 20 years of housing growth under alternative conservation selection strategies, and then projected the mean risk of fires destroying structures and the area and configuration of important habitat types in San Diego County, California, USA. We found clear differences in both fire risk projections and biodiversity impacts based on the way conservation lands are prioritized for selection, but these differences were split between two distinct groupings. If no conservation lands were purchased, or if purchases were prioritized based on cost or likelihood of development, both the projected fire risk and biodiversity impacts were much higher than if conservation lands were purchased in areas with high fire hazard or high species richness. Thus, conserving land focused on either of the two objectives resulted in nearly equivalent mutual benefits for both. These benefits not only resulted from preventing development in sensitive areas, but they were also due to the different housing patterns and arrangements that occurred as development was displaced from those areas. Although biodiversity conflicts may still arise using other fire management strategies, this study shows that mutual objectives can be attained through land-use planning in this region. These results likely generalize to any place where high species richness overlaps with hazardous wildland vegetation.

Likelihood-Based Inference for Partially Observed Multi-Type Markov Branching Processes

Thesis (Ph.D.)--University of Washington, 2016-08

Monitorização do teor de humidade do solo para a condução de rega em estufa numa cultura de alface

Dissertação de Mestrado, Engenharia e Gestão de Sistemas de Água, 23 de Junho de 2016, Universidade dos Açores.

Computational Analysis of Intelligent Agents: Social and Strategic Settings

The central motif of this work is prediction and optimization in presence of multiple interacting intelligent agents. We use the phrase `intelligent agents' to imply in some sense, a `bounded rationality', the exact meaning of which varies depending on the setting. Our agents may not be `rational' in the classical game theoretic sense, in that they don't always optimize a global objective. Rather, they rely on heuristics, as is natural for human agents or even software agents operating in the real-world. Within this broad framework we study the problem of influence maximization in social networks where behavior of agents is myopic, but complication stems from the structure of interaction networks. In this setting, we generalize two well-known models and give new algorithms and hardness results for our models. Then we move on to models where the agents reason strategically but are faced with considerable uncertainty. For such games, we give a new solution concept and analyze a real-world game using out techniques. Finally, the richest model we consider is that of Network Cournot Competition which deals with strategic resource allocation in hypergraphs, where agents reason strategically and their interaction is specified indirectly via player's utility functions. For this model, we give the first equilibrium computability results. In all of the above problems, we assume that payoffs for the agents are known. However, for real-world games, getting the payoffs can be quite challenging. To this end, we also study the inverse problem of inferring payoffs, given game history. We propose and evaluate a data analytic framework and we show that it is fast and performant.

Sistema supervisor inteligente para procesos de producción de petróleo

Maximizar la producción de pozos de crudo pesado y extra pesado es el principal beneficio que se desea obtener de los sistemas de control que están corrientemente operativos en empresas de petróleo. Dada la naturaleza compleja y cambiante con el tiempo de los métodos existentes de levantamiento artificial para extracción de crudo, se dificulta el cumplimiento de las especificaciones pre establecidas para el procesamiento del crudo por parte de los lazos de control regulatorios. Tomando esto en cuenta, en éste trabajo se propone un sistema de supervisión inteligente que permite detectar cambios en las condiciones de operación del proceso productivo y realizar ajustes automáticos de sus consignas. Además, el sistema supervisor propuesto tiene la capacidad de detectar fallas en los sensores involucrados en los lazos de control, garantizando de esta manera una operación confiable del proceso. La propuesta fue probada en un pozo de petróleo real obteniéndose resultados que superaron las expectativas iniciales.

Isolamento, seleção e cultivo de leveduras com potencia biotecnológico para a produção de endo-xilaneses

Xilanases são enzimas que catalisam a hidrólise das xilanas e têm sido em grande parte, obtidas a partir de bolores e bactérias. No entanto poucos estudos têm sido relatados sobre a produção destas enzimas por leveduras. O presente trabalho teve como objetivo isolar leveduras de diferentes fontes vegetais visando à produção de xilanases, além de maximizar sua produção, estudar o uso de diferentes fontes de nitrogênio e cultivar as leveduras em meios contendo coprodutos agroindustriais. As amostras de alimentos e resíduos foram enriquecidas em caldo extrato de malte e levedura e isoladas em Ágar Nutriente Wallerstein, as leveduras isoladas foram, a seguir, avaliadas quanto à capacidade de degradar xilana presente no meio e produzir halos de hidrólise, os quais foram visualizados através do uso do corante vermelho congo. Os micro-organismos selecionados como potenciais produtores de xilanase foram crescidos em meio complexo líquido e as atividades enzimáticas de endoxilanase, β-xilosidase, carboximetilcelulase, celulase total, pH e concentração de biomassa foram avaliadas ao longo de 96 h de cultivo. Dentre as leveduras isoladas, sete foram selecionadas, e a 18Y foi a que apresentou a maior atividade de endo- xilanase (2,7 U.mL-1 ), sendo esta isolada de chicória e identificada como Cryptococcus laurentii. Esta estirpe apresentou capacidade de produzir xilanase com baixos níveis de celulase, sendo assim selecionada neste trabalho. A maximização de endo-xilanase foi avaliada fazendo uso de planejamento experimental onde primeiramente foi realizado um planejamento fracionário 2 6-2 para verificar os efeitos do pH inicial e as concentrações de xilana, peptona, (NH4)2SO4, extrato de levedura e KH2PO4 sobre a atividade enzimática. Após selecionar as variáveis xilana, peptona, pH e extrato de levedura foi realizado um delineamento composto central rotacional (24 ) onde todos os cultivos foram mantidos a 30°C, 150 rpm durante 96 h sendo retiradas alíquotas para determinação das atividades, pH e biomassa. A produção máxima foi de 6,9 U.mL-1 usando 10,0 g.L-1 de extrato de levedura, 10,0 g.L-1 de peptona, 10,0 g.L-1 de xilana, 1,0 g.L-1 de (NH4)2SO4 em pH 6,5 o que permitiu um incremento de mais de 250% sobre a atividade. Posteriormente foram realizados ensaios avaliando diferentes fontes e concentrações de nitrogênio orgânico e inorgânico. A presença de NH4NO3 e (NH₄)₂SO₄ usados na concentração de 3% proporcionaram as maiores atividades de endo-xilanase (6,2 e 6,0 U.mL-1 respectivamente). O sulfato de amônio foi selecionado e fixado em 1 g.L-1 e logo após um planejamento completo 22 foi realizado onde as variáveis xilana e extrato de levedura foram estudadas e as demais fixadas. As condições ótimas estabelecidas para a produção da enzima foram: concentração de xilana de 18,6 g.L-1 , concentração de extrato de levedura de 10 g.L-1 atingindo 14 U.mL-1 . Após a maximização enzimática estudou-se o crescimento de Pichia pastoris NRRL Y-1603 e Cryptococcus laurentti em cinco substratos agroindustriais visando a possibilidade estes substratos substituírem a xilana em cultivos para a produção de endo-xilanase. Os ensaios foram realizados utilizando os subtratos pré-tratados com NaOH 4% e não tratados. Para inserção dos mesmos aos meios de cultivo, estes foram moídos e adicionados na concentração de 2%. O pré-tratamento para todos as fontes de hemicelulose foi eficiente e promoveu aumento nas atividades produzidas. Cryptococcus laurentti apresentou maior atividade enzimática (8,7 U.mL-1 ) em farelo de arroz desengordurado e pré- tratado enquanto que a levedura Pichia pastoris NRRL Y-1603 apresentou sua melhor condição para produção de endo-xilanase quando cultivada em meio contendo casca de aveia e o farelo de arroz pré-tratados, alcançando atividades máximas de 7,6 e 7,5 U.mL-1 .

Modeling height-diameter relationship in pinus pinaster ait. in the forest intervention zone of Lomba, NE-Portugal

In this work, the relationship between diameter at breast height (d) and total height (h) of individual-tree was modeled with the aim to establish provisory height-diameter (h-d) equations for maritime pine (Pinus pinaster Ait.) stands in the Lomba ZIF, Northeast Portugal. Using data collected locally, several local and generalized h-d equations from the literature were tested and adaptations were also considered. Model fitting was conducted by using usual nonlinear least squares (nls) methods. The best local and generalized models selected, were also tested as mixed models applying a first-order conditional expectation (FOCE) approximation procedure and maximum likelihood methods to estimate fixed and random effects. For the calibration of the mixed models and in order to be consistent with the fitting procedure, the FOCE method was also used to test different sampling designs. The results showed that the local h-d equations with two parameters performed better than the analogous models with three parameters. However a unique set of parameter values for the local model can not be used to all maritime pine stands in Lomba ZIF and thus, a generalized model including covariates from the stand, in addition to d, was necessary to obtain an adequate predictive performance. No evident superiority of the generalized mixed model in comparison to the generalized model with nonlinear least squares parameters estimates was observed. On the other hand, in the case of the local model, the predictive performance greatly improved when random effects were included. The results showed that the mixed model based in the local h-d equation selected is a viable alternative for estimating h if variables from the stand are not available. Moreover, it was observed that it is possible to obtain an adequate calibrated response using only 2 to 5 additional h-d measurements in quantile (or random) trees from the distribution of d in the plot (stand). Balancing sampling effort, accuracy and straightforwardness in practical applications, the generalized model from nls fit is recommended. Examples of applications of the selected generalized equation to the forest management are presented, namely how to use it to complete missing information from forest inventory and also showing how such an equation can be incorporated in a stand-level decision support system that aims to optimize the forest management for the maximization of wood volume production in Lomba ZIF maritime pine stands.

Dynamic Programming Approaches for Estimating and Applying Large-scale Discrete Choice Models

People go through their life making all kinds of decisions, and some of these decisions affect their demand for transportation, for example, their choices of where to live and where to work, how and when to travel and which route to take. Transport related choices are typically time dependent and characterized by large number of alternatives that can be spatially correlated. This thesis deals with models that can be used to analyze and predict discrete choices in large-scale networks. The proposed models and methods are highly relevant for, but not limited to, transport applications. We model decisions as sequences of choices within the dynamic discrete choice framework, also known as parametric Markov decision processes. Such models are known to be difficult to estimate and to apply to make predictions because dynamic programming problems need to be solved in order to compute choice probabilities. In this thesis we show that it is possible to explore the network structure and the flexibility of dynamic programming so that the dynamic discrete choice modeling approach is not only useful to model time dependent choices, but also makes it easier to model large-scale static choices. The thesis consists of seven articles containing a number of models and methods for estimating, applying and testing large-scale discrete choice models. In the following we group the contributions under three themes: route choice modeling, large-scale multivariate extreme value (MEV) model estimation and nonlinear optimization algorithms. Five articles are related to route choice modeling. We propose different dynamic discrete choice models that allow paths to be correlated based on the MEV and mixed logit models. The resulting route choice models become expensive to estimate and we deal with this challenge by proposing innovative methods that allow to reduce the estimation cost. For example, we propose a decomposition method that not only opens up for possibility of mixing, but also speeds up the estimation for simple logit models, which has implications also for traffic simulation. Moreover, we compare the utility maximization and regret minimization decision rules, and we propose a misspecification test for logit-based route choice models. The second theme is related to the estimation of static discrete choice models with large choice sets. We establish that a class of MEV models can be reformulated as dynamic discrete choice models on the networks of correlation structures. These dynamic models can then be estimated quickly using dynamic programming techniques and an efficient nonlinear optimization algorithm. Finally, the third theme focuses on structured quasi-Newton techniques for estimating discrete choice models by maximum likelihood. We examine and adapt switching methods that can be easily integrated into usual optimization algorithms (line search and trust region) to accelerate the estimation process. The proposed dynamic discrete choice models and estimation methods can be used in various discrete choice applications. In the area of big data analytics, models that can deal with large choice sets and sequential choices are important. Our research can therefore be of interest in various demand analysis applications (predictive analytics) or can be integrated with optimization models (prescriptive analytics). Furthermore, our studies indicate the potential of dynamic programming techniques in this context, even for static models, which opens up a variety of future research directions.

Thermal and exergy analysis for evaluation and optimization of performance of cooling towers for fresh water and seawater

In this study, thermal, exergetic analysis and performance evaluation of seawater and fresh wet cooling tower and the effect of parameters on its performance is investigated. With using of energy and mass balance equations, experimental results, a mathematical model and EES code developed. Due to lack of fresh water, seawater cooling is interesting choice for future of cooling, so the effect of seawater in the range of 1gr/kg to 60gr/kg for salinity on the performance characteristics like air efficiency, water efficiency, output water temperature of cooling tower, flow of the exergy, and the exergy efficiency with comparison with fresh water examined. Decreasing of air efficiency about 3%, increasing of water efficiency about 1.5% are some of these effects. Moreover with formation of fouling the performance of cooling tower decreased about 15% which this phenomena and its effects like increase in output water temperature and tower excess volume has been showed and also accommodate with others work. Also optimization for minimizing cost, maximizing air efficiency, and minimizing exergy destruction has been done, results showed that optimization on minimizing the exergy destruction has been satisfy both minimization of the cost and the maximization of the air efficiency, although it will not necessarily permanent for all inputs and optimizations. Validation of this work is done by comparing computational results and experimental data which showed that the model have a good accuracy.

Multi-modal ultrasound imaging for breast cancer detection

This work describes preliminary results of a two-modality imaging system aimed at the early detection of breast cancer. The first technique is based on compounding conventional echographic images taken at regular angular intervals around the imaged breast. The other modality obtains tomographic images of propagation velocity using the same circular geometry. For this study, a low-cost prototype has been built. It is based on a pair of opposed 128-element, 3.2 MHz array transducers that are mechanically moved around tissue mimicking phantoms. Compounded images around 360 degrees provide improved resolution, clutter reduction, artifact suppression and reinforce the visualization of internal structures. However, refraction at the skin interface must be corrected for an accurate image compounding process. This is achieved by estimation of the interface geometry followed by computing the internal ray paths. On the other hand, sound velocity tomographic images from time of flight projections have been also obtained. Two reconstruction methods, Filtered Back Projection (FBP) and 2D Ordered Subset Expectation Maximization (2D OSEM), were used as a first attempt towards tomographic reconstruction. These methods yield useable images in short computational times that can be considered as initial estimates in subsequent more complex methods of ultrasound image reconstruction. These images may be effective to differentiate malignant and benign masses and are very promising for breast cancer screening. (C) 2015 The Authors. Published by Elsevier B.V.

O processo de criação do programa Universidade para Todos - PROUNI

From the end of the 80s, the Brazilian higher education experience strong growth, coming from the private sector, which would intensify further in the late 90th Higher education has become a lucrative business. With a drop in the number of students entering and strong competition, the number of idle places in private institutions of higher education reached 49.5% in 2004. That same year, by Measure, was the University for All Program (PROUNI) program, to include high school students from public higher education, offering scholarships to those students in private HEIs. In exchange, the IES gain tax exemption. The objective of this research is to investigate the game of interest occurred in the formulation of this program and identify the model and the political game and has led to the creation of PROUNI, analyzing the process occurred since the wording of a bill, the issue of Measure Law and that the legitimacy PROUNI, with the most important changes made initial model. Since the first draft of the Law to the final Act, the PROUNI was disfigured in its main points, as the percentage of stock for paying students, the process of selection of stock and bond of the IES program. Throughout the process of creating the program, it is quite clear the performance of the institutions representing the private higher education. As reference for the analysis was based on Rational Choice Theory of Political Science. The basic argument of the methods based on rational choice is the maximization of the benefit will be the main motivation of individuals, but they can give that your goals can be achieved more effectively through institutional action and thereby discover that their conduct is shaped by institutions. Thus, individuals rationally choose to get to a certain extent constrained to join in certain institutions, whether voluntarily or not. The PROUNI was submitted by government and public policy covered by the mystical aura of the discourse of social justice and economic development, as in higher education includes a stratum of people who would not have access to the university, due to restrictions in the supply network public higher education. However, the greatest benefit from the program are the private HEIs, which through a difficult time in a scenario marked by high competition and idleness of nearly half of the vacancies offered. The PROUNI became a program that prioritizes access and not the residence of the student to higher education. More serious than a supporting program for students Fellows is a program supporting the institutions of private education

Ciríaco de Cardoso e O burro do Sr. Alcaide : percursos de formação de um compositor de comédia musical no Portugal finissecular

O principal objetivo deste estudo foi compreender as etapas do percurso artístico do compositor portuense Ciríaco de Cardoso (1846 – 1900) e os discursos em torno de uma das suas obras mais célebres: O burro do Sr. Alcaide (1891). No primeiro capítulo procurou-se identificar e discutir os critérios que estiveram na base das opções profissionais tomadas por Ciríaco. O decurso da sua carreira leva a crer que possuía uma noção profunda das atividades que, no espaço lusófono, apresentavam maior potencial de aquisição quer de capital económico, quer de capital simbólico. É por isso que, mobilizando recursos das suas redes de sociabilidade, circula por instituições no Porto e em Lisboa mas, também, pelo lucrativo mercado teatral do Rio de Janeiro, assim como em Paris. Concentra-se no popular teatro musical – principal fonte de sustento – em paralelo com a atividade concertística e operática – forma de distinção atendendo à competitividade no mercado musico-teatral. Percebe também que a maximização do seu poder simbólico depende da legitimação alcançada pela sua associação às elites socioculturais locais, pelo que fomenta o estabelecimento de sociabilidades que se estendem inclusive às casas reais portuguesa e brasileira. Paradoxalmente, as edes mais próximas de Ciríaco estavam vinculadas a um idealismo republicano, relacionamento que exponencial proliferação de discursos dessa índole pelos media lusófonos (sobretudo a partir do tricentenário camoniano de 1880) e, por outro, pela aparente inexistência de registos que associem inequivocamente o artista ao ativismo republicano. Não obstante, é provável que Ciríaco de Cardoso tenha explorado o filão antimonárquico na programação da temporada de 1891 do Teatro da Avenida. O segundo capítulo explora a produção de O burro do Sr. Alcaide, através da análise da sua estrutura e das relações da obra com a realidade portuguesa da última década do século XIX. Embora respeite o modelo da opereta francesa, apresenta também características que poderão levar a que seja interpretada como transmissora de uma portugalidade idealizada, em linha com o nacionalismo português do último quartel do século. A ação decorre em Lisboa, cenário de interação entre personagens-tipo e caricaturas de personalidades concretas da elite sociopolítica portuguesa. Através de referências ao sebastianismo, satiriza-se o comportamento dessas elites, assim como as instituições da monarquia constitucional e a prevalência de uma visão messiânica dos governantes por parte da sociedade em geral. Faz-se a apologia da ruralidade através de tópicos musicais e de quadros onde se constrói uma imagem da música tradicional, correspondendo a uma idealização da nação – notada e enfatizada na receção pela crítica. Utiliza também outros tópicos pertencentes à paisagem sonora do público burguês, completando a expressão da urbanidade de um país onde essas duas realidades não eram ainda completamente dissociáveis. Contudo, ao não propor alterações efetivas à hierarquia da sociedade portuguesa finissecular, o desfecho da obra leva a concluir que esta terá consistido numa forma de propaganda o que, por um lado, explica o seu mediatismo e, por outro, vincula os seus autores – mais ou menos conscientes disso – às lutas políticas em curso aquando do ano da sua estreia.

Forecasting errors, directional accuracy and profitability of currency trading: The case of EUR/USD exchange rate

We provide a comprehensive study of out-of-sample forecasts for the EUR/USD exchange rate based on multivariate macroeconomic models and forecast combinations. We use profit maximization measures based on directional accuracy and trading strategies in addition to standard loss minimization measures. When comparing predictive accuracy and profit measures, data snooping bias free tests are used. The results indicate that forecast combinations, in particular those based on principal components of forecasts, help to improve over benchmark trading strategies, although the excess return per unit of deviation is limited.