The aim of my diploma thesis is to design and make out a design documentation to show the look of new post office building. The plot is located in the cadastral area of Lesná and the parcel numbers are 1344/1, 1344/3, 1344/4 and 1345. The building is located on a flat terrain. The building consists of two above-ground floors and one underground floor. On the first floor are public areas, post offices and the background of the post office. On the second there is the office of the director, office of the representative, meeting room and facilities for the post office employees. In the underground floor there is technical equipment of the building, archive and storeroom of post office. The construction system is made in a combination of monolithic skeleton and ceramic bricks. It is designed with a flat roof wich is drained by with roof gullies.

This diploma thesis was prepared as a construction project documentation. The proposed building is an office building in Prague. The building has 4 above-ground floors and 1 underground floor. On the above-ground floors the office spaces are located, while the underground floor is designated as garages. Monolithic reinforced concrete skeleton with beams was chosen as the construction system.

The diploma project is involved in structure design of multipurpose house. It´s four floor building with one underground floor and flat roof. Structure system is reinforced concrete skeleton. Ceilings are solved as reinforced concrete slabs, spot supported by columns with circuit reinforcing beam.

The subject of my thesis is project of mountain hotel. The building is designed as a detached house. The estate is situated in central part of the town Dolní Morava. The building has three above-ground floor and one underground floor. The roofing is solved by the flat roof.

The objective of the thesis is to design a new detection method of terrain skeleton lines from airborne laser scanning data. The theoretical part provides a brief introduction to airborne laser scanning issue. There are presented major principles of the technology and procedures applied to create digital terrain model from laser data. There is also described an application of airborne laser scanning in the area of the Czech Republic in detail and follows an exact specification of key terms of the thesis. From the geomorphology, topography and geoinformatics point of view there are defined especially terms like terrain skeleton lines, breakline, valley and ridge. Literary research consists of the summary of already published method of breakline detection. There are algorithms focused on data processing in form of original point cloud as well as algorithms focused on processing data in the raster form. Primary goal of the theoretical part is to express major principles of already published method of detection. The practical part firstly introduces data that are used further in the thesis. The objective of the thesis is a description of a new method of detection of terrain skeleton lines. The method processes laser data converted into raster form and it is based on the analysis of transverse elevation profile...

Univerzita Karlova Přírodovědecká fakulta Antropologie a Genetika člověka Alizé Lacoste Jeanson, M.Sc. "NÁVRAT SVALŮ A TUKU ZPĚT NA KOSTI": 3D ANALÝZA VLIVU TĚLESNÉ KOMPOZICE A HMOTNOSTI NA KOSTNÍ ARCHITEKTURU "PUTTING FLESH AND FAT BACK ONTO THE BONES": A 3D ANALYSIS OF THE INFLUENCE OF BODY COMPOSITION AND MASS ON BONE ARCHITECTURE Disertačnn prace Doctoral thesis Školitel Supervisor: Prof. RNDr. Jaroslav Brůžek, CSc, PhD, HDR Praha, 2018 Prague, 2018 Charles University Faculty of Science Department of Anthropology and Human Genetics Abstract The understanding of biomechanics is essential to various studies in bioanthropology. Bone is a living tissue that constantly remodels in order to functionally adapt to biomechanical constrains. Long bones diaphyses in particular have been subjected to various analyses notably because the application of beam engineering principles has rendered possible the evaluation of their resistance to various directional constrains based on their shape. Body mass estimation methods lie on this principle. Body mass is partially used since the nineties as a proxy to control the influence of body size on bone's architecture prior to interpreting variations between populations. More recently, they have been used to estimate physical status (i.e. emaciation, norm, obesity)....

In this thesis, we address issues associated with programming modern heterogeneous systems while focusing on a special kind of heterogeneous systems that include multicore CPUs and one or more GPUs, called GPU-based systems.We consider the skeleton programming approach to achieve high level abstraction for efficient and portable programming of these GPU-based systemsand present our work on SkePU library which is a skeleton library for these systems. We extend the existing SkePU library with a two-dimensional (2D) data type and skeleton operations and implement several new applications using newly made skeletons. Furthermore, we consider the algorithmic choice present in SkePU and implement support to specify and automatically optimize the algorithmic choice for a skeleton call, on a given platform. To show how to achieve performance, we provide a case-study on optimized GPU-based skeleton implementation for 2D stencil computations and introduce two metrics to maximize resource utilization on a GPU. By devising a mechanism to automatically calculate these two metrics, performance can be retained while porting an application from one GPU architecture to another. Another contribution of this thesis is implementation of the runtime support for the SkePU skeleton library. This is achieved with the help of the StarPUruntime system. By this implementation,support for dynamic scheduling and load balancing for the SkePU skeleton programs is achieved. Furthermore, a capability to do hybrid executionby parallel execution on all available CPUs and GPUs in a system, even for a single skeleton invocation, is developed. SkePU initially supported only data-parallel skeletons. The first task-parallel skeleton (farm) in SkePU is implemented with support for performance-aware scheduling and hierarchical parallel execution by enabling all data parallel skeletons to be usable as tasks inside the farm construct. Experimental evaluations are carried out and presented for algorithmic selection, performance portability, dynamic scheduling and hybrid execution aspects of our work.

Nous présentations dans ce travail une méthode de représentation des formes volumiques 3D complexes. Nous dé nissons une forme volumique 3D par un ensemble de voxels extrait d'un traitement d'images Tomographiques 3D. cet ensemble est définit par sa fonction indicatrice. Notre objectif est le calcul d'une approximation analytique continue par morceau, compact, stable et robuste de la forme initiale, qui conserve ses propriétés topologiques et géométriques. Nous proposons une description de la forme par un ensemble minimum de boules incluses dans la forme et recouvrant son squelette. Nous démontrons le fait que cela revient à chercher un ensemble minimum de boules maximales recouvrant le squelette de la forme. Notre nouvelle représentation de la forme volumique, que nous appellerons MISS, donne une description optimal des cavités de la forme. Nous proposons un algorithme basé sur la triangulation de Delaunay 3D pour le calcul de la représentation MISS d'une forme volumique décrite par un ensemble de voxels. De cette représentation primaire nous arriverons à fournir une approximation par des primitives plus sophistiquées : cylindres, cônes et cylindres généralisés. Ainsi, nous proposons un algorithme pour calculer ces primitives à partir d'un réseau de boules. Le résultat nal est une description robuste intrinsèque de la forme initiale à la fois par des boules, cylindres, cônes et cylindres généralisés. Nous appliquons notre algorithme sur des images tomographique 3D du sol a n de fournir une description géométrique intrinsèque et robuste de l'espace poral ; cette description peut être, ensuite, utilisée pour la simulation des dynamiques biologiques du sol. / In this thesis we present a primary representation for complex 3D volume shape. We de fine a 3D volume shape by a set of voxels derived from a computed tomography volume image. In a theoretical point of view, this set of voxels defi nes its indicatrix function. The basic idea is to look for a compact, stable and robust piece wise analytic approximation of the shape which conserves its topological and geometrical properties. We propose to describe a volume shape by a minimal number of balls included within the shape and recovering the shape skeleton. We show that it is equivalent to find out a (fi nite) minimal set of "maximal balls" recovering the skeleton. In the case where the absolute values of the principal curvatures of the shape envelope are bounded above we prove that such a finite set does exist. Indeed, our new shape representation provides an optimal description of the shape cavities. We propose an algorithm based on Delaunay 3D triangulation to compute the MISS of a volume shape described by a set of voxels. Afterwards, this representation can be used to approximate the shape using more sophisticated primitives like cylinders, cones, generalized cylinders. We propose algorithms to provide optimal cylinders and cones from ball network. The final result is an intrinsic and robust description of the initial shape using both balls, cylinders, cones. This scheme can be extended by using also curved cylinders and curved cones. Finally, we apply our algorithm to 3D volume Computed Tomography soil data in order to provide intrinsic and robust geometrical description of pore space to be used for biological dynamics simulation and modeling.

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There is a lack of data-driven training instructions for sports shooters, as instruction has commonly been based on subjective assessments. Many studies have correlated body posture and balance to shooting performance in rifle shooting tasks, but most of them have focused on single aspects of postural control. This thesis has focused on finding relevant rifle shooting factors by examining the entire body over sequences of time. We performed a data collection with 13 human participants who carried out live rifle shooting scenarios while being recorded with multiple biometric sensors, including several body trackers. An experiment was conducted to identify what aspects of rifle shooting could be predicted and explained using these data. We employed a pre-processing pipeline to produce a novel skeleton sequence representation, and used it to train a transformer model. The predictions from this model could be explained on a per sample basis using the attention mechanism, and visualised in an interactive format for humans to interpret. It was possible to separate the different phases of a shooting scenario from body posture with a high classification accuracy (81%). However, no correlation could be shown between shooting performance and body posture from our data. Future work could focus on novel feature engineering, and on examining alternative machine learning approaches. The dataset and pre-processing pipeline, as well as the techniques for generating explainable predictions presented in this thesis has laid the groundwork for future research in the sports shooting domain.