A procedural generation of landscapes often meets a need for real spatial data at finer resolution that data available at the moment. We introduce a method that refines the spatial data at the coarse resolution into the finer resolution utilizing other data sources which are already at the better resolution. We construct weighted local linear statistical models from both the coarse and utility data and use the by- models-learned dependencies between the data sources to predict the needed data at better resolution. To achieve higher computational speed and evade utility data imperfection, we utilize truncated singular value decomposition which reduce a dimensionality of the data space we work with. The~method is highly modifiable and its application shows plausible real-like results. Thanks to this, the method can be of practical use for simulation software development. Powered by TCPDF (www.tcpdf.org)

As the complexity of a spatial phenomenon increases, traditional modeling becomes impractical. Alternatively, data-driven modeling, which is based on the analysis of data characterizing the phenomena, can be used. In this thesis, the generation of understandable and reliable spatial models using observational data is addressed. An interpretability oriented data-driven fuzzy modeling approach is proposed. The methodology is based on construction of fuzzy models from data, tuning and fuzzy model simplification. Mamdani type fuzzy models with triangular membership functions are considered. Fuzzy models are constructed using fuzzy clustering algorithms and simulated annealing metaheuristic is adapted for the tuning step. To obtain compact and interpretable fuzzy models a simplification methodology is proposed. Simplification methodology reduced the number of fuzzy sets for each variable and simplified the rule base. Prototype software is developed and mean annual precipitation data of Turkey is examined as case study to assess the results of the approach in terms of both precision and interpretability. In the first step of the approach, in which fuzzy models are constructed from data, &quot / Fuzzy Clustering and Data Analysis Toolbox&quot / , which is developed for use with MATLAB, is used. For the other steps, the optimization of obtained fuzzy models from data using adapted simulated annealing algorithm step and the generation of compact and interpretable fuzzy models by simplification algorithm step, developed prototype software is used. If the accuracy is the primary objective then the proposed approach can produce more accurate solutions for training data than geographically weighted regression method. The minimum training error value produced by the proposed approach is 74.82 mm while the error obtained by geographically weighted regression method is 106.78 mm. The minimum error value on test data is 202.93 mm. An understandable fuzzy model for annual precipitation is generated only with 12 membership functions and 8 fuzzy rules. Furthermore, more interpretable fuzzy models are obtained when Gath-Geva fuzzy clustering algorithms are used during fuzzy model construction.

Thesis (M.Sc)--Athabasca University, 2004. / Includes bibliographical references (leaves 31-32). Also available online.

Orientador: Wu Shin-Ting / Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação / Made available in DSpace on 2018-08-14T00:50:34Z (GMT). No. of bitstreams: 1 GonzalesMarquez_MercedesRocio_D.pdf: 9448340 bytes, checksum: 4c3f5a018922f90ac08152dbf85aeaf6 (MD5) Previous issue date: 2009 / Resumo: O pré-alinhamento de duas imagens de profundidade parcialmente sobrepostas de objetos rígidos consiste na determinação automática de uma transformação rígida T que coloca ambas imagens em um mesmo referencial. Ele deve ser independente da geometria da imagem e deve ser eficiente, no sentido de reduzir a complexidade temporal da tarefa de determinação e casamento de pares de correspondências. A solução mais popular consiste na extração de n pares de pontos correspondentes nas regiões comuns de ambas imagens para, a partir desses pares, estimar a transformação T. As técnicas existentes na literatura ainda apresentam diversas limitações quanto à restrição geométrica das imagens e à eficiência. Este trabalho propõe uma solução alternativa eficiente. Tendo como hipótese de que a forma de um objeto pode ser essencialmente capturada por um subconjunto finito dos seus pontos, esta tese propõe o uso de uma malha triangular simplificada, em lugar de uma imagem de profundidade densa, para reduzir o espaço de busca de correspondências. Propõe-se ainda a construção de um descritor, denominado triedro, com alta capacidade discriminante para possibilitar uma busca mais eficiente de correspondências no espaço reduzido de amostras. O algoritmo proposto foi validado através de testes com diversas imagens reais / Abstract: The crude registration of two partially overlapping range images from rigid objects consists of the determination of a rigid transformation T which brings both images into the same reference system. A crude registration should be independent of data geometry, and be efficient, in the sense that has low time complexity in finding the correspondence pairs. The most popular solution consists of extracting n pairs of correspondences in the overlapping regions and estimating from them the transformation T. Current works on crude registration still present drawbacks in relation to data geometry and efficiency. This work proposes an alternative solution for crude registration. Based on the hypothesis that the shape of an object is essentially captured by a finite subset of its points, this thesis proposes the use of a simplified triangular mesh, instead of a dense range image, to reduce the search space of correspondences. Besides, the construction of a descriptor, called trihedron is proposed. It has higher discriminating capacity which makes correspondence search still more efficient. The proposed algorithm has been validated through experiment tests with several real images / Doutorado / Engenharia de Computação / Doutor em Engenharia Elétrica

Cílem této diplomové práce je vytvoření Business Intelligence řešení pro společnost 1188. Na základě výsledného Business Intelligence řešení bude umožněno managementu společnosti vykonávat přesnější rozhodnutí, která se budou shodovat se strategií společnosti.

Objective of this project was the study of basic interaction and migration processes of actinides in the environment in presence of humic acids (HA). To obtain more basic knowledge on these interaction processes synthetic HA with specific functional properties as well as 14C-labeled HA were synthesized and applied in comparison to the natural HA Aldrich. One focus of the work was on the synthesis of HA with distinct redox functionalities. The obtained synthetic products that are characterized by significantly higher Fe(III) redox capacities than Aldrich HA were applied to study the redox properties of HA and the redox stability of U(VI) humate complexes. It was confirmed that phenolic OH groups play an important role for the redox properties of HA. However, the results indicate that there are also other processes than the single oxidation of phenolic OH groups and/or other functional groups contributing to the redox behavior of HA. A first direct-spectroscopic proof for the reduction of U(VI) by synthetic HA with distinct redox functionality was obtained. The complexation behavior of synthetic and natural HA with actinides (Th, Np, Pu) was studied. Structural parameters of Pu(III), Th(IV), Np(IV) and Np(V) humates were determined by X-ray absorption spectroscopy (XAS). The results show that carboxylate groups dominate the interaction between HA and actinide ions. These are predominant monodentately bound. The influence of phenolic OH groups on the Np(V) complexation by HA was studied with modified HA (blocked phenolic OH groups). The blocking of phenolic OH groups induces a decrease of the number of maximal available complexing sites of HA, whereas complex stability constant and Np(V) near-neighbor surrounding are not affected. The effects of HA on the sorption and migration behavior of actinides was studied in batch and column experiments. Th(IV) sorption onto quartz and Np(V) sorption onto granite and its mineral constituents are affected by the pH value and the presence of HA. HA exhibits a significant influence on the transport of U(IV) and U(VI) in a laboratory quartz sand system. In order to provide the basis for a more reliable modeling of the actinide transport, the metal ion complexation with HA has to be integrated into existing geochemical speciation codes. Within this project the metal ion charge neutralization model was embedded into the geochemical modeling code EQ3/6. In addition to that, a digital data base was developed which covers HA complexation data basing on the charge neutralization model.

The concept of multidimensional modeling has proven extremely successful in the area of Online Analytical Processing (OLAP) as one of many applications running on top of a data warehouse installation. Although many different modeling techniques expressed in extended multidimensional data models were proposed in the recent past, we feel that many hot issues are not properly reflected. In this paper we address ten common problems reaching from defects within dimensional structures over multidimensional structures to new analytical requirements and more.

ISAGENis a tool for the automatic generation of structurally complex test inputs that imitate real communication in the context of modern information systems . Complex, typically tree-structured data currently represents the standard means of transmitting information between nodes in distributed information systems. Automatic generator ISAGENis founded on the methodology of data-driven testing and uses concrete data from the production environment as the primary characteristic and specification that guides the generation of new similar data for test cases satisfying given combinatorial adequacy criteria. The main contribution of this thesis is a comprehensive proposal of automated data generation techniques together with an implementation, which demonstrates their usage. The created solution enables testers to create more relevant testing data, representing production-like communication in information systems.