Após muitas décadas de mau uso das técnicas construtivas de terra, associando-as à miséria e habitações subumanas, há tentativas de resgatá-las e reintroduzi-las como opção construtiva digna. A terra, utilizada como material construtivo, possui muitas potencialidades, especialmente quando se trata do meio rural, onde se apresenta em quantidade e variedade abundante, possibilitando maior flexibilidade na técnica a ser utilizada. Além disso, as áreas rurais brasileiras, inclusive os assentamentos rurais de reforma agrária, têm um déficit de moradias proporcionalmente equivalente ao das áreas urbanas, porém não recebem uma atenção equivalente na forma de políticas públicas e investimentos. Os programas habitacionais federais, em sua maioria, são desenhados para a população e dinâmica das áreas urbanas e não contemplam particularidades do campo e do trabalhador rural. No Assentamento Rural Sepé Tiaraju, localizado no município de Serra Azul-SP, 77 famílias acessaram recursos provenientes de um programa habitacional federal e do INCRA para construção de suas casas. Dessas 77, um grupo de 10 famílias auto-intitulado de Grupo Alternativo, optou por construir suas casas utilizando materiais ditos mais sustentáveis, não industrializados e, de preferência, não comercializáveis, escolhendo a terra como material construtivo de vedação. No entanto, após cinco anos de projeto, apenas três famílias permaneceram com a terra como opção construtiva. Diante desse contexto, o objetivo dessa pesquisa é identificar e avaliar as variáveis que tiveram maior influência na adoção da terra como material construtivo para habitação social rural no caso do Grupo Alternativo do Assentamento Rural Sepé Tiaraju. Como método de coleta de dados da pesquisa foi utilizado o levantamento documental e áudio-visual, com consulta à literatura técnica e científica sobre o tema, os registros de pesquisa do grupo Habis e consulta a profissionais e pesquisadores da área de construção em terra. Como métodos de análise de dados da pesquisa foram utilizados a Linha do Tempo e a Matriz de Correlação de Influência (MCI). Como resultado, pode-se identificar que as variáveis que tiveram maior influência na adoção da terra como material construtivo para habitação social rural no presente caso, foram as relacionadas ao \"material construtivo\", \"assessor técnico\" e \"produção\". Já as variáveis relacionadas a Famílias, tiveram muita influência, mas não foram determinantes. As relações de influência que tiveram maior destaque foram as relações dentro do grupo de variáveis relacionadas a elementos técnicos e entre essas e as variáveis relacionadas ao assessor técnico. Os resultados dessa pesquisa permitem indicar que a terra é uma opção viável para construção de habitação rural com recursos de programas habitacionais federais, desde que exista um programa habitacional direcionado para as especificidades do meio rural e uso de materiais não convencionais. / After many decades of misuse of earth-based building techniques, which are associated with poverty and subhuman housing, some people still try to rescue and reintroduce them as a worthy alternative. The earth used as a building material has many potential, mainly when applied to rural areas, where this kind of material is encountered in abundant quantity and variety, being possible to apply more techniques. In addition, the Brazilian rural areas, including rural settlements of agrarian reform have a housing deficit that is proportionally equivalent to the urban areas. However, these rural areas do not receive equivalent attention in terms of public policies and investments. Many federal housing programs are designed for the population and dynamic urban areas, thus, sometimes they do not consider the conditions of rural areas and worker particularities. In Sepé Tiaraju Rural Settlement located in the municipality of Serra Azul, state of São Paulo, 77 families used funds obtained from a federal housing program and from INCRA to build their homes. From these 77 families, a group of 10 families chose to build their homes using more sustainable materials, non-industrialized and non-commercialized, choosing the earth as a building material for walls. This group was called Alternative Group. However, after five years only three families remain using the earth-based building technique. Following this context, the objective of this research is the identification and evaluation of variables that most influenced the adoption of earth-based building technique applied to social housing in rural areas. In order to validate the methodology proposed, this work uses the case of the Alternative Group (Sepé Tiaraju Rural Settlement). In this way, as the method to obtain research data was the use of documents and audio-visual resources, the researches of Habis Group, moreover, consultation to professionals and researchers of this area. After obtained all these data, a timeline and a correlation matrix were employed in order to evaluate the data in a qualitative way. It is important to highlight that the correlation matrix was used to verify the influence between the variables that compose the data previously obtained. Hence, one can identify that the variables related to technical advisor, production and building material were most responsible to use the earth-based building technique in this case study. On the other hand, the variables related to family had some influence, but were not decisive, and the variables related to technical elements and their relationships with the variables related to technical advisor have been highlighted. The final results of this research allow us to indicate that earth is a viable choice for building rural housing using funds from federal housing programs. However, it is important that these programs target the specificities of rural areas and unconventional materials.

Wind resource assessment studies have been conducted in the Israeli side and the Palestinian side before; however, the previous studies were restricted with the political border either Palestinian or Israeli except one of them that was based on measurements dated to 1940-1983 (R. Shabbaneh & A. Hasan, 1997). Moreover, the studies were performed years ago, with simple techniques and based on old data (R. Shabbaneh & A. Hasan, 1997). Hence, the needs for a new study that is based on updated data, and using updated model is highly demanded. This study is intended to perform wind resource assessment in Palestine/Israel; the study has used two stages of assessment, primary one based on reference station data on both sides, Israeli and Palestinian. The second stage of wind resource assessment is based on WindPRO software. The wind resource assessment ends up with identifying sites with higher potential that are situated in four selected sites, North of Palestine/Israel, North of West-bank, Jerusalem, and Eilat, the higher potential was in Eilat area bearing mean wind speed of 9.88m/s at 100 m hub height.Moreover, the study recognized the importance of political situation assessment due to the Israeli-Palestinian conflict. Based on conducted survey, the political situation assessment concluded that international non-governmental organizations seem to be most capable of starting up wind power project in Palestine/Israel. Furthermore, the study concluded that supportive policies from both the Israeli and Palestinian governments are crucial to promote wind power projects in the region.

The topic of this thesis is the unemployment in the South Bohemia region and its economic and social impacts in this area as well. For the purpose of the diploma theses, it was necessary to define some key theoretical concepts related to the unemployment. The key concepts were defined through the study of a scientific literature, statistical yearbooks and sources focused on this subject matter and labour market. The main assumption was distinguishing of various types of the unemployment, and introducing methods of counting them. The theoretical part of the theses concludes with the issue of socio-economic impacts of the unemployment and their mutual relations, and with the description of the employment politics in the Czech Republic. In the empirical part, development of the unemployment its aspects and structure are analysed. The core of the theses lies in the use of statistical methods, especially in Pearson's product-moment coefficient, correlation matrix and simple linear regression model. All these calculations were done in STATISTICA and R software. At the beginning of the calculation, appropriate social and economic indicators were specified. Finally, there is a discussion about possible results of examined issue at the end of the empirical part as well as some suggestions how to improve unemployed people situation.

Após muitas décadas de mau uso das técnicas construtivas de terra, associando-as à miséria e habitações subumanas, há tentativas de resgatá-las e reintroduzi-las como opção construtiva digna. A terra, utilizada como material construtivo, possui muitas potencialidades, especialmente quando se trata do meio rural, onde se apresenta em quantidade e variedade abundante, possibilitando maior flexibilidade na técnica a ser utilizada. Além disso, as áreas rurais brasileiras, inclusive os assentamentos rurais de reforma agrária, têm um déficit de moradias proporcionalmente equivalente ao das áreas urbanas, porém não recebem uma atenção equivalente na forma de políticas públicas e investimentos. Os programas habitacionais federais, em sua maioria, são desenhados para a população e dinâmica das áreas urbanas e não contemplam particularidades do campo e do trabalhador rural. No Assentamento Rural Sepé Tiaraju, localizado no município de Serra Azul-SP, 77 famílias acessaram recursos provenientes de um programa habitacional federal e do INCRA para construção de suas casas. Dessas 77, um grupo de 10 famílias auto-intitulado de Grupo Alternativo, optou por construir suas casas utilizando materiais ditos mais sustentáveis, não industrializados e, de preferência, não comercializáveis, escolhendo a terra como material construtivo de vedação. No entanto, após cinco anos de projeto, apenas três famílias permaneceram com a terra como opção construtiva. Diante desse contexto, o objetivo dessa pesquisa é identificar e avaliar as variáveis que tiveram maior influência na adoção da terra como material construtivo para habitação social rural no caso do Grupo Alternativo do Assentamento Rural Sepé Tiaraju. Como método de coleta de dados da pesquisa foi utilizado o levantamento documental e áudio-visual, com consulta à literatura técnica e científica sobre o tema, os registros de pesquisa do grupo Habis e consulta a profissionais e pesquisadores da área de construção em terra. Como métodos de análise de dados da pesquisa foram utilizados a Linha do Tempo e a Matriz de Correlação de Influência (MCI). Como resultado, pode-se identificar que as variáveis que tiveram maior influência na adoção da terra como material construtivo para habitação social rural no presente caso, foram as relacionadas ao \"material construtivo\", \"assessor técnico\" e \"produção\". Já as variáveis relacionadas a Famílias, tiveram muita influência, mas não foram determinantes. As relações de influência que tiveram maior destaque foram as relações dentro do grupo de variáveis relacionadas a elementos técnicos e entre essas e as variáveis relacionadas ao assessor técnico. Os resultados dessa pesquisa permitem indicar que a terra é uma opção viável para construção de habitação rural com recursos de programas habitacionais federais, desde que exista um programa habitacional direcionado para as especificidades do meio rural e uso de materiais não convencionais. / After many decades of misuse of earth-based building techniques, which are associated with poverty and subhuman housing, some people still try to rescue and reintroduce them as a worthy alternative. The earth used as a building material has many potential, mainly when applied to rural areas, where this kind of material is encountered in abundant quantity and variety, being possible to apply more techniques. In addition, the Brazilian rural areas, including rural settlements of agrarian reform have a housing deficit that is proportionally equivalent to the urban areas. However, these rural areas do not receive equivalent attention in terms of public policies and investments. Many federal housing programs are designed for the population and dynamic urban areas, thus, sometimes they do not consider the conditions of rural areas and worker particularities. In Sepé Tiaraju Rural Settlement located in the municipality of Serra Azul, state of São Paulo, 77 families used funds obtained from a federal housing program and from INCRA to build their homes. From these 77 families, a group of 10 families chose to build their homes using more sustainable materials, non-industrialized and non-commercialized, choosing the earth as a building material for walls. This group was called Alternative Group. However, after five years only three families remain using the earth-based building technique. Following this context, the objective of this research is the identification and evaluation of variables that most influenced the adoption of earth-based building technique applied to social housing in rural areas. In order to validate the methodology proposed, this work uses the case of the Alternative Group (Sepé Tiaraju Rural Settlement). In this way, as the method to obtain research data was the use of documents and audio-visual resources, the researches of Habis Group, moreover, consultation to professionals and researchers of this area. After obtained all these data, a timeline and a correlation matrix were employed in order to evaluate the data in a qualitative way. It is important to highlight that the correlation matrix was used to verify the influence between the variables that compose the data previously obtained. Hence, one can identify that the variables related to technical advisor, production and building material were most responsible to use the earth-based building technique in this case study. On the other hand, the variables related to family had some influence, but were not decisive, and the variables related to technical elements and their relationships with the variables related to technical advisor have been highlighted. The final results of this research allow us to indicate that earth is a viable choice for building rural housing using funds from federal housing programs. However, it is important that these programs target the specificities of rural areas and unconventional materials.

In many areas of science one often has a given matrix, representing for example a measured data set and is required to find a matrix that is closest in a suitable norm to the matrix and possesses additionally a structure, inherited from the model used or coming from the application. We call these problems structured matrix nearness problems. We look at three different groups of these problems that come from real applications, analyze the properties of the corresponding matrix structure, and propose algorithms to solve them efficiently. The first part of this thesis concerns the nearness problem of finding the nearest k factor correlation matrix C(X) = diag(I_n -XX T)+XX T to a given symmetric matrix, subject to natural nonlinear constraints on the elements of the n x k matrix X, where distance is measured in the Frobenius norm. Such problems arise, for example, when one is investigating factor models of collateralized debt obligations (CDOs) or multivariate time series. We examine several algorithms for solving the nearness problem that differ in whether or not they can take account of the nonlinear constraints and in their convergence properties. Our numerical experiments show that the performance of the methods depends strongly on the problem, but that, among our tested methods, the spectral projected gradient method is the clear winner. In the second part we look at two two-sided optimization problems where the matrix of unknowns Y ε R {n x p} lies in the Stiefel manifold. These two problems come from an application in atomic chemistry where one is looking for atomic orbitals with prescribed occupation numbers. We analyze these two problems, propose an analytic optimal solution of the first and show that an optimal solution of the second problem can be found by solving a convex quadratic programming problem with box constraints and p unknowns. We prove that the latter problem can be solved by the active-set method in at most 2p iterations. Subsequently, we analyze the set of optimal solutions C}= {Y ε R n x p:Y TY=I_p,Y TNY=D} of the first problem for N symmetric and D diagonal and find that a slight modification of it is a Riemannian manifold. We derive the geometric objects required to make an optimization over this manifold possible. We propose an augmented Lagrangian-based algorithm that uses these geometric tools and allows us to optimize an arbitrary smooth function over C. This algorithm can be used to select a particular solution out of the latter set C by posing a new optimization problem. We compare it numerically with a similar algorithm that ,however, does not apply these geometric tools and find that our algorithm yields better performance. The third part is devoted to low rank nearness problems in the Q-norm, where the matrix of interest is additionally of linear structure, meaning it lies in the set spanned by s predefined matrices U₁,..., U_s ε {0,1} n x p. These problems are often associated with model reduction, for example in speech encoding, filter design, or latent semantic indexing. We investigate three approaches that support any linear structure and examine further the geometric reformulation by Schuermans et al. (2003). We improve their algorithm in terms of reliability by applying the augmented Lagrangian method and show in our numerical tests that the resulting algorithm yields better performance than other existing methods.

我們從計算股價的相關矩陣，然後利用隨機矩陣定理的結果，了解到股票市場並非符合隨機過程的預測，進而得知股票對股票之間具有關聯性，然其長時距下股票價格對數報酬的變化會呈現隨機行走的模式，因此我們對其結果提出二種不同的耦合隨機行走模型，試圖闡釋股票市場間的關聯性可融合到耦合隨機行走模型之中，並藉由均方對數報酬(mean square log-return，MSLR)來探討此事情。 最後，為了瞭解關聯性的關係，並利用其來了解股票市場內部結構的特性，因此我們利用股價的相關矩陣來建構最小展開樹進行分析，發現當時間尺度越大其圖形越密集，中心幾乎為「GE」這家公司，因此其股票市場具有一定的判斷指標。 / By means of calculating the correlation matrix of the price of stock and using the results of random matrix theorems，we learned that the stock market does not match the prediction of stochastic processes and the stock-stock is correlated。However，stock’s price log-return changes under long time scale will appear random walk model. Therefore，we propose two kinds of the different coupled random walk model，that try to explain the correlation between the stock markets can be integrated into the coupled random walk model，and using the mean square log-return( MSLR) to investigate this issue。 Finally，to understand the relationship of correlation matrix and by using it to know the characteristics of the underlying structure of the stock market，we use the correlation matrix of the price to construct the minimum spanning tree for analysis。The results showed that when the time scale is greater, the graphics are more intensive，and the center is almost the same company，"GE"， indicating that the stock market has a certain judgment index。

Researchers perform multivariate techniques MANOVA, discriminant analysis and factor analysis. The most common applications in social science are to identify and test the effects from the analysis. The use of this multivariate technique is uncommon in investigating the effects of power usage and Province in South Africa on the amounts of the five power modes. This dissertation discusses this issue, the methodology and practical problems of the three multivariate techniques. The author examines the applications of each technique in social public research and comparisons are made between the three multivariate techniques. This dissertation concludes with a discussion of both the concepts of the present multivariate techniques and the results found on the use of the three multivariate techniques in the energy household consumption. The author recommends focusing on the hypotheses of the study or typical questions surrounding of each technique to guide the researcher in choosing the appropriate analysis in the social research, as each technique has some strengths and limitations. / Statistics / M. Sc. (Statistics)

Researchers perform multivariate techniques MANOVA, discriminant analysis and factor analysis. The most common applications in social science are to identify and test the effects from the analysis. The use of this multivariate technique is uncommon in investigating the effects of power usage and Province in South Africa on the amounts of the five power modes. This dissertation discusses this issue, the methodology and practical problems of the three multivariate techniques. The author examines the applications of each technique in social public research and comparisons are made between the three multivariate techniques. This dissertation concludes with a discussion of both the concepts of the present multivariate techniques and the results found on the use of the three multivariate techniques in the energy household consumption. The author recommends focusing on the hypotheses of the study or typical questions surrounding of each technique to guide the researcher in choosing the appropriate analysis in the social research, as each technique has some strengths and limitations. / Statistics / M. Sc. (Statistics)

This paper investigates correlation between energy consumption 24 hours ahead and features used for predicting energy consumption. The features originate from three categories: weather, time and previous energy. The correlations are calculated using Pearson correlation and mutual information. This resulted in the highest correlated features being those representing previous energy consumption, followed by temperature and month. Two identical feature sets containing all attributes1 were obtained by ranking the features according to correlation. Three feature sets were created manually. The first set contained seven attributes representing previous energy consumption over the course of seven days prior to the day of prediction. The second set consisted of weather and time attributes. The third set consisted of all attributes from the first and second set. These sets were then compared on different machine learning models. It was found the set containing all attributes and the set containing previous energy attributes yielded the best performance for each machine learning model. 1In this report, the words ”attribute” and ”feature” are used interchangeably. / I denna rapport undersöks korrelation och betydelsen av olika attribut för att förutspå energiförbrukning 24 timmar framåt. Attributen härstammar från tre kategorier: väder, tid och tidigare energiförbrukning. Korrelationerna tas fram genom att utföra Pearson Correlation och Mutual Information. Detta resulterade i att de högst korrelerade attributen var de som representerar tidigare energiförbrukning, följt av temperatur och månad. Två identiska attributmängder erhölls genom att ranka attributen över korrelation. Tre attributmängder skapades manuellt. Den första mängden innehåll sju attribut som representerade tidigare energiförbrukning, en för varje dag, sju dagar innan datumet för prognosen av energiförbrukning. Den andra mängden bestod av väderoch tidsattribut. Den tredje mängden bestod av alla attribut från den första och andra mängden. Dessa mängder jämfördes sedan med hjälp av olika maskininlärningsmodeller. Resultaten visade att mängden med alla attribut och den med tidigare energiförbrukning gav bäst resultat för samtliga modeller.

Compressed sensing has been proposed as a computationally efficient method to estimate the finite-dimensional signals. The idea is to develop an undersampling operator that can sample the large but finite-dimensional sparse signals with a rate much below the required Nyquist rate. In other words, considering the sparsity level of the signal, the compressed sensing samples the signal with a rate proportional to the amount of information hidden in the signal. In this dissertation, first, we employ compressed sensing for physical layer signal processing of directional millimeter-wave communication. Second, we go through the theoretical aspect of compressed sensing by running a comprehensive theoretical analysis of compressed sensing to address two main unsolved problems, (1) continuous-extension compressed sensing in locally convex space and (2) computing the optimum subspace and its dimension using the idea of equivalent topologies using Köthe sequence. In the first part of this thesis, we employ compressed sensing to address various problems in directional millimeter-wave communication. In particular, we are focusing on stochastic characteristics of the underlying channel to characterize, detect, estimate, and track angular parameters of doubly directional millimeter-wave communication. For this purpose, we employ compressed sensing in combination with other stochastic methods such as Correlation Matrix Distance (CMD), spectral overlap, autoregressive process, and Fuzzy entropy to (1) study the (non) stationary behavior of the channel and (2) estimate and track channel parameters. This class of applications is finite-dimensional signals. Compressed sensing demonstrates great capability in sampling finite-dimensional signals. Nevertheless, it does not show the same performance sampling the semi-infinite and infinite-dimensional signals. The second part of the thesis is more theoretical works on compressed sensing toward application. In chapter 4, we leverage the group Fourier theory and the stochastical nature of the directional communication to introduce families of the linear and quadratic family of displacement operators that track the join-distribution signals by mapping the old coordinates to the predicted new coordinates. We have shown that the continuous linear time-variant millimeter-wave channel can be represented as the product of channel Wigner distribution and doubly directional channel. We notice that the localization operators in the given model are non-associative structures. The structure of the linear and quadratic localization operator considering group and quasi-group are studied thoroughly. In the last two chapters, we propose continuous compressed sensing to address infinite-dimensional signals and apply the developed methods to a variety of applications. In chapter 5, we extend Hilbert-Schmidt integral operator to the Compressed Sensing Hilbert-Schmidt integral operator through the Kolmogorov conditional extension theorem. Two solutions for the Compressed Sensing Hilbert Schmidt integral operator have been proposed, (1) through Mercer's theorem and (2) through Green's theorem. We call the solution space the Compressed Sensing Karhunen-Loéve Expansion (CS-KLE) because of its deep relation to the conventional Karhunen-Loéve Expansion (KLE). The closed relation between CS-KLE and KLE is studied in the Hilbert space, with some additional structures inherited from the Banach space. We examine CS-KLE through a variety of finite-dimensional and infinite-dimensional compressible vector spaces. Chapter 6 proposes a theoretical framework to study the uniform convergence of a compressible vector space by formulating the compressed sensing in locally convex Hausdorff space, also known as Fréchet space. We examine the existence of an optimum subspace comprehensively and propose a method to compute the optimum subspace of both finite-dimensional and infinite-dimensional compressible topological vector spaces. To the author's best knowledge, we are the first group that proposes continuous compressed sensing that does not require any information about the local infinite-dimensional fluctuations of the signal.