Achieving realistic simulations of terrain vehicles in their work environment does not only require a careful model of the vehicle itself but the vehicle's interactions with the surroundings are equally important. For off-road ground vehicles the terrain will heavily affect the behaviour of the vehicle and thus puts great demands on the terrain model. The purpose of this project has been to develop and evaluate a deformable terrain model, meant to be used in real-time simulations with multi-body dynamics. The proposed approach is a modification of an existing elastoplastic model based on linear elasticity theory and a capped Drucker-Prager model, using it in an adaptive way. The original model can be seen as a system of rigid bodies connected by elastoplastic constraints, representing the terrain. This project investigates if it is possible to create dynamic bodies just when it is absolutely necessary, and store information about possible deformations in a grid. Two methods used for transferring information between the dynamic bodies and the grid have been evaluated; an interpolating approach and a discrete approach. The test results indicate that the interpolating approach is preferable, with better stability to an equal performance cost. However, stability problems still exist that have to be solved if the model should be useful in a commercial product.

<p>In this report we describe simulation of the surface current density on a PEC cylinder and the diffracted field for a line source above a finite PEC ground plane as a means to verify the Nero2D program. The results are compared with the exact solution and give acceptable errors. A terrain model for a communication link is studied in the report and we simulate the wave propagation for terrain with irregular shapes and different materials. The Nero2D program is based on the fast multipole method (FMM) to reduce computation time and memory. Gaussian sources are also studied to make the terrain model more realistic</p>

In this report we describe simulation of the surface current density on a PEC cylinder and the diffracted field for a line source above a finite PEC ground plane as a means to verify the Nero2D program. The results are compared with the exact solution and give acceptable errors. A terrain model for a communication link is studied in the report and we simulate the wave propagation for terrain with irregular shapes and different materials. The Nero2D program is based on the fast multipole method (FMM) to reduce computation time and memory. Gaussian sources are also studied to make the terrain model more realistic

För ca 11 500 år sedan började Weichselisen smälta bort från Stockholmsregionen och trycket som ismassan utövade på jordskorpan började sakta lätta. Sedan dess har markytan inom de tidigare istäckta områdena arbetat för att återfå sitt jämviktsläge. Detta har påverkat strandlinjens läge genom en kombination av den pågående isostatiska återhämtningen och den varierande eustatiska förändringen. Denna uppsats fokuserar på ett område i anslutning till Hammersta ruin ca 13 km norr om Nynäshamn. Strandlinjerna för perioden 500–1500 e.Kr. har beräknats genom att strandlinjenivåer för varierande tidpunkter mellan 7000–3850 f.Kr. använts som utgångspunkt. Dessa individuella strandlinjenivåer har med hjälp av ett andragradspolynom sammanbundits med ett 0-värde motsvarande havsnivån för höjdsystemet RH70. Strandlinjenivåerna för denna studie har därefter kunnat läsas avfrån den resulterande regressionskurvan. Regressionskurvan är således inte en strandförskjutningskurva i bemärkelsen strandlinjens kontinuerliga utveckling över tid, utan snarare ett sätt att interpolera värden för aktuella undersökta tidpunkter utifrån befintliga höjdvärden före och därefter. För visualisering av strandlinjernas läge har därefter höjddatasetet bearbetats i ArcGIS för att få en markyta överensstämmande med perioden mellan 500 och 1500 e.Kr. i 100-års intervall. Moderna landformer som vägar, diken och åfåror har uteslutits för att undvika att dessa påverkar strandlinjernas lägen och form i terrängen. Resultaten blev 11 kartbilder för omgivningen kring ruinen samt fyra kartbilder för ruinens närområde. Dessa visar var och en på strandlinjens läge vid en viss tidpunkt med en högsta nivå 0,87 m högre för strandlinjen under året. Denna baserades på vattenståndsmätningar från SMHI för åren 1889–2010 vid Skeppsholmen i Stockholm. De framställda kartbilderna kan återfinnas i kapitel 7, på http://ww2.ink.su.se/living_maps/hammersta samt i bilaga 3. Ön som ruinen är belägenpå blev en del av Södertörn ca 1400 e.Kr.

In the journey toward optimal spectrum usage, techniques and concepts such as Cognitive Radio and Dynamic Spectrum Access have enjoyed increasing attention in many research projects. Dynamic Spectrum Access introduces the need for real-time RF spectrum information in the form of Radio Environment Maps. This need motivates an investigation into a hybrid approach of sample measurements and spatial interpolation as opposed to using conventional propagation models. Conventional propagation models, both path-general and path-specific, require information of transmitters within the area of interest. Irregular Terrain Models such as the Longley-Rice model, further require topographic information in order to consider the effects of obstacles. The proposed spatial interpolation technique, kriging, requires no information regarding transmitters. Furthermore, Ordinary Kriging requires nothing other than measured samples whereas other kriging variants such as Universal Kriging and Regression Kriging can use additional information such as topographic data to aid in prediction accuracy. This dissertation investigates the performance of the three aforementioned kriging variants in producing Radio Environment Maps of received power. For practical and financial reasons, the received power measurement samples are generated using the Longley-Rice Irregular Terrain Model and are, therefore, simulated measurements. The experimental results indicate that kriging shows great promise as a tool to generate Radio Environment Maps. It is found that Ordinary Kriging produces the most accurate predictions of the three kriging methods and that prediction errors of less than 10 dB can be achieved even when using very low sampling densities. / MSc (Computer and Electronic Engineering), North-West University, Potchefstroom Campus, 2015

In the journey toward optimal spectrum usage, techniques and concepts such as Cognitive Radio and Dynamic Spectrum Access have enjoyed increasing attention in many research projects. Dynamic Spectrum Access introduces the need for real-time RF spectrum information in the form of Radio Environment Maps. This need motivates an investigation into a hybrid approach of sample measurements and spatial interpolation as opposed to using conventional propagation models. Conventional propagation models, both path-general and path-specific, require information of transmitters within the area of interest. Irregular Terrain Models such as the Longley-Rice model, further require topographic information in order to consider the effects of obstacles. The proposed spatial interpolation technique, kriging, requires no information regarding transmitters. Furthermore, Ordinary Kriging requires nothing other than measured samples whereas other kriging variants such as Universal Kriging and Regression Kriging can use additional information such as topographic data to aid in prediction accuracy. This dissertation investigates the performance of the three aforementioned kriging variants in producing Radio Environment Maps of received power. For practical and financial reasons, the received power measurement samples are generated using the Longley-Rice Irregular Terrain Model and are, therefore, simulated measurements. The experimental results indicate that kriging shows great promise as a tool to generate Radio Environment Maps. It is found that Ordinary Kriging produces the most accurate predictions of the three kriging methods and that prediction errors of less than 10 dB can be achieved even when using very low sampling densities. / MSc (Computer and Electronic Engineering), North-West University, Potchefstroom Campus, 2015

The Generalization of the Digital Terrain Model Based on the TIN Abstract This diploma thesis deals with the up to now way and the possibilities of the digital terrain model generalization based on the TIN (the triangulate irregular network). New suitable way of the generalization of the digital terrain model procured from laser scanning data is proposed on the base of the existing generalization methods designated for digital models. Laser scanning data is characterized by a high areal density so the basic requirement is computing speed, maintaining the terrain features, such as a ridge, valley, steep hill, saddle, depression … and so on. The proposed algorithm is compared with the results of suggested algorithms and results from the generalization by the geographic software, such as Atlas DMT and ArcGIS.

The aim of this work is to design automatic detection of spot heights from airborne laser scanning data and its generalization. The first part is about the idea of spot height: the importance of spot heights for altimetry representation on maps and suggestions concerning the scatter of spot heights on maps. In the following part, different approaches for terrain critical points extraction (peaks, depressions, passes) from digital terrain models are described as suitable places for spot heights location. Further, we introduce a description of geomorphological characteristics of these points by which is possible to identify its significance and generalize them. In accordance to analysis of Základní mapa ČR and recommendation for spot heights location described in literature we designed own method of automatic generation and generalization spot heights from digital terrain models. This method were implemented and there is a description of the test data and results on the real data DMR 5G of the algorithm in the end of the work. Powered by TCPDF (www.tcpdf.org)

A indústria brasileira de fertilizantes encontra-se submetida a um sistema de tributação que pode anular a concorrência do produto nacional em relação ao importado, em função da configuração geográfica da oferta doméstica e do fato do produto importado desfrutar de benefícios tarifários. Tais benéficos são justificados pela grande dependência que a agricultura brasileira tem deste importante insumo e, a localização do consumidor em relação aos principais portos de entrada do produto e da indústria nacional é uma informação estratégica para o mercado e para a viabilidade de projetos de investimentos domésticos. O presente estudo analisou os custos logísticos que incidem sobre os principais fertilizantes importados através da utilização de uma nova metodologia: o uso de um modelo digital de terreno. O modelo foi gerado interpolando-se indicadores de preços construídos a partir das variáveis que atuam na formação dos preços dos fertilizantes importados por meio de três métodos diferentes. O produto do estudo é um modelo digital que descreve o comportamento do preço do fertilizante importado de uma forma contínua sobre a superfície. Este modelo foi usado para analisar a área de abrangência do fertilizante importado de cada um dos principais portos e elaborar simulações a partir da manipulação das variáveis do modelo. / The Brazilian fertilizer industry is subject to a tax system that can cancel the competition of the national product with regard to imported, depending on the geographic configuration of the domestic supply and the fact that the imported products take advantage of tariff benefits. Such benefits are justified by the large dependence of the Brazilian agriculture has this important input. Therefore, the location of the consumer market in relation to the main ports of entry of the input and the domestic industry is a strategic information to the market and the viability of domestic investment projects. This study analyzed the logistics costs imposed on the main imported fertilizers by using a new methodology: the use of a digital terrain model. The model was generated interpolating price indicators constructed from the variables that act in the formation of prices of imported fertilizers by three different methods. The product of the study is a digital model that describes the behavior of the imported fertilizer price in a continuous manner over the surface. This model was used to analyze the coverage area of the imported fertilizer for each of the main ports and prepare simulations from the manipulation of model variables.

Orientador: Messias Meneguette Júnior / Banca: João Fernando Custodio da Silva / Banca: Ricardo Luís Barbosa / Resumo: As vertentes, como superf cies inclinadas, consistem em express~oes da Geomorfologia moldadas por fatores naturais (end ogenos e ex ogenos) e pelo pr oprio homem. Suas formas determinam o uxo ou o ac umulo de agua e representam caracter sticas fundamentais para a preven c~ao e resolu c~ao de problemas associados ao relevo, tais como utiliza c~ao do solo, constru c~ao civil entre outros. A classi ca c~ao da vertente em c^oncava, convexa ou retil - nea permite a identi ca c~ao de areas conforme sua declividade. Assim, por meio de uma grade retangular regular, base do modelo digital de terreno, gera-se uma malha interpolada por fun c~oes estimadoras: thin-plate spline, que possui caracter sticas de suaviza c~ao e krigagem, que al em da suavidade tamb em considera a depend^encia espacial. Logo ap os, a classi ca c~ao e feita, obedecendo a infer^encia fuzzy baseada em fun c~oes de pertin^encia que de nem classes a partir do c alculo da inclina c~ao e da concavidade ou convexidade do terreno. Entretanto, o resultado dessa classi ca c~ao est a atrelado a resolu c~ao da malha, n~ao permitindo fazer qualquer corre c~ao pontual. Pois, pequenas areas de pouca signi c^ancia podem ser formadas, necessitando elimin a-las. Nesse sentido, para que o resultado seja ajustado, aplica-se o diagrama de Voronoi, caracterizado por sua rela c~ao de abrang^encia e proximidade, como ferramenta para agregar regi~oes anteriormente classi cadas de modo a permitir um ajuste local e tornar o resultado mais condizente com a area em estudo, quando comparada a mapas geomorfol ogicos correspondentes / Abstract: Slopes, such as inclined surfaces, consist in geomorphological expressions shaped by natural factors (endogenous and exogenous) and also by man himself. Their shapes determine the ow or accumulation of water and represent fundamental characteristics for the prevention and resolution of problems associated with relief, as land use, buildings, and others. Classi- cating slopes in concave, convex or straight allows to identi cate areas based on declivity. Thus, by regular rectangular grid which represents a digital terrain model, it generates a interpolated mesh by estimator functions: thin-plate spline, which has characteristics of smoothing, and kriging, which besides smoothing also considers spatial dependence. After that, the classi cation is realized according to fuzzy inference based on membership functions that de ne classes from the calculation of the slope and concavity or convexity of the ground. However, the classi cation depends on mesh resolution and it not allows any point correction. Once small areas with little importance can be formed requiring eliminate them. In order to adjust the result, it applies the Voronoi diagram, characterized by its comprisement and close relationship and scope, as a tool to aggregate regions previously classi ed and allow a local adjustment, that can provides a consistent result in study areas, if it was compared to the corresponding geomorphological maps / Mestre