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In spite of the many discoveries made in neuroscience, the mechanism by which memories are formed is still unclear. To better understand how some disorders of the brain arise, it is necessary to improve our knowledge of memory formation in the brain. With the aid of a biological experiment, an artificial neural network is developed to provide insight into how information is stored and recalled. In particular, the bi-conditional association of distinct spatial and non-spatial information is examined using computational techniques. The thesis defines three versions of a computational model based on a combination of feedforward and recurrent neural networks and a biologically-inspired spike time dependent plasticity learning rule. The ability of the computational model to store and recall the bi-conditional object-space association task through reward-modulated plastic synapses is numerically investigated. Further, the network's response to variation of certain parameter values is numerically addressed. A parallel algorithm is introduced to reduce the running time necessary to test the robustness of this artificial neural network. The numerical results produced with this algorithm are then analyzed by a statistical approach, and the network's ability for learning is assessed.

The need for increased computational power is growing faster than our ability to produce faster computers. Already researchers are proposing systems that require peta-flop capable super computers, a far cry from what is currently capable. To meet such high computational requirements, networks of computers will be required. While it is possible to network together computers to achieve a single task, making that network more flexible to handle a multitude of different tasks is the promise of grid computing. <p>Grid systems are slowly appearing that are designed to run many independent tasks, and provide the ability for programs to migrate between machines before completion. However, these systems lack coordination capabilities. Many grid systems/environments allow multiple tasks to communicate/coordinate with each other based on various paradigms, but don't provide migration capabilities. <p>This thesis proposes a system, called JOLTS, that attempts to fill a gap by providing both checkpointing and coordination capabilities. The coordination model offered by JOLTS is based on the Objective Linda coordination language, with some additions. This thesis will show that the object space model is an effective form of coordination and communication, and can effectively be combined with checkpointing capabilities inside the same grid system.

The need for increased computational power is growing faster than our ability to produce faster computers. Already researchers are proposing systems that require peta-flop capable super computers, a far cry from what is currently capable. To meet such high computational requirements, networks of computers will be required. While it is possible to network together computers to achieve a single task, making that network more flexible to handle a multitude of different tasks is the promise of grid computing. <p>Grid systems are slowly appearing that are designed to run many independent tasks, and provide the ability for programs to migrate between machines before completion. However, these systems lack coordination capabilities. Many grid systems/environments allow multiple tasks to communicate/coordinate with each other based on various paradigms, but don't provide migration capabilities. <p>This thesis proposes a system, called JOLTS, that attempts to fill a gap by providing both checkpointing and coordination capabilities. The coordination model offered by JOLTS is based on the Objective Linda coordination language, with some additions. This thesis will show that the object space model is an effective form of coordination and communication, and can effectively be combined with checkpointing capabilities inside the same grid system.

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本研究運用物空間匹配的理論，由已知方位的航空影像與由航空影像自動匹配產生或由空載光達測量取得的數值表面模型(DSM)資料中的平面特徵，製作成正射影像區塊，作為航空影像的控制資訊，並解算待求解之航空影像外方位參數。物空間匹配是以地元(groundel)的概念為基礎，地元為物空間上的單元，每個地元均含描述地表灰值變化的輻射資訊，以及描述地表起伏的幾何資訊。在此一地元即對應於正射影像區塊中的一個正射影像位置，由地元出發，經共線條件並進行輻射資訊調整可於航空影像上產生相對應的像元灰值。依據此關係，產生正射影像區塊時，使用已知方位的航空影像，由DSM資料並萃取物空間中的平面資訊，並由萃取平面上的每一地元出發，經由共線條件比對各已知方位航空影像中相對應像元間的灰值差異，進而產生正射影像區塊；而以正射影像區塊進行影像控制時，則由正射影像區塊中的每一地元出發，仍經由共線條件比對地表上的地元與相對應於待求解之航空影像上的像元灰值差異，達到影像外方位求解之目的。本研究中除以物空間匹配模式發展正射影像區塊製作與航空影像外方位求解之理論之外，並以不同時期的航空影像資料進行實驗與分析。 / Existing aerial images and related spatial data are suitable for control data in aerial photogrammetry. This study will employ the concept of object space matching to generate the orthoimage control patches of plane features from existing aerial images data and digital surface model acquired from aerial image matching or airborne LIDAR surveying. Afterwards, those orthoimage control patches will be used to determine exterior orientation of aerial images by the concept of object space matching. Essentially, object space matching is based on the concept of groundel. The terrain surface condition is described by radiative information and geometric information in each groundel, i.e. each location (or pixel) in orthoimage control patches. The corresponding grey value of each pixel in each aerial image is transformed by the collinear condition and the adjustment of radiative information of groundel. According to the above-mentioned relationship, the relevant theory for generation of orthoimage control patches and exterior orientation determination of aerial images will be developed based on the comparison of grey value between each groundel and each corresponding aerial image pixel. To verify the feasibility of our derived theory, the aerial image data acquired from different period will be utilized for the test. Meanwhile, the relevant problems will be discussed and investigated in the experiments.

Bundle adjustment is the process of simultaneously optimizing camera poses and 3D structure given image point tracks. In structure-from-motion, it is typically used as the final refinement step due to the nonlinearity of the problem, meaning that it requires sufficiently good initialization. Contrary to this belief, recent literature showed that useful solutions can be obtained even from arbitrary initialization for fixed-rank matrix factorization problems, including bundle adjustment with affine cameras. This property of wide convergence basin of high quality optima is desirable for any nonlinear optimization algorithm since obtaining good initial values can often be non-trivial. The aim of this thesis is to find the key factor behind the success of these recent matrix factorization algorithms and explore the potential applicability of the findings to bundle adjustment, which is closely related to matrix factorization. The thesis begins by unifying a handful of matrix factorization algorithms and comparing similarities and differences between them. The theoretical analysis shows that the set of successful algorithms actually stems from the same root of the optimization method called variable projection (VarPro). The investigation then extends to address why VarPro outperforms the joint optimization technique, which is widely used in computer vision. This algorithmic comparison of these methods yields a larger unification, leading to a conclusion that VarPro benefits from an unequal trust region assumption between two matrix factors. The thesis then explores ways to incorporate VarPro to bundle adjustment problems using projective and perspective cameras. Unfortunately, the added nonlinearity causes a substantial decrease in the convergence basin of VarPro, and therefore a bootstrapping strategy is proposed to bypass this issue. Experimental results show that it is possible to yield feasible metric reconstructions and pose estimations from arbitrary initialization given relatively clean point tracks, taking one step towards initialization-free structure-from-motion.

The subject of the thesis is the preparation of project documentation for construction of the new building boarding house with a wine cellar near the recreation area Leopoldov, the local Městyse Buchlovice. Due to the location near the attractive location with a rich tradition of folklore object at the same time offers space for a presentation and wine tasting for the public, with the possibility of organizing smaller events. For added convenience, the services offered includes the construction of a total capacity of 48 beds. The total required capacity are dealt with in two separate buildings of rectangular plan in mutually perpendicular arrangement. The visible design of both buildings respects the landscape and sensitive integration of the building into the surrounding buildings. SO-01 Wineries Object wineries (production 60.000l/rok) with a wine cellar for the production, storage and presentation of wine products, a lounge for 48 people and an accommodation for 10 persons.The building is brick, single-storey, basement, covered with a wooden roof truss attic, partially flat grass roof. SO-02 Guest house Construction of accommodation (guest house) with a capacity of 38 persons for accommodation of visitors wine cellar. The building is brick, single-storey, basement, covered with a wooden roof truss attic utilized. The property adjoining a paved parking area.

In this report, an object-space solution to occluder fusion of OBB occluders is explored. Two different approaches are considered were the object-space fusion is reduced to a 2D problem. The first approach finds axis-aligned silhouettes within the projection of occluder OBBs which are then fused together creating large axis-aligned silhouettes. The other approach creates concave hulls of the projected OBB silhouettes from which convex inscribed silhouettes are then found. These silhouettes are then converted back to object-space where shadow frusta created around the silhouettes are used for the culling operation. The effectiveness of the two approaches is evaluated considering the amount of culled geometry. It is shown that fused convex silhouettes are needed to produce competitive results.

The subject of this final thesis is the preparation of a project documentation for the building construction of a new pension with restaurant and wine cellar. The compound is located in Vážany nad Litavou. Its location falls under Velké Pavlovice area. Due to the location in this wine-growing region is in the project located, a wine cellar with a vineyard. The project is designed as a guesthouse with the restaurant designed for families with children, and for holding small social or company events. For this purpose, is in the main building designed a lounge with capacity of 20 people and a restaurant with capacity of 60 persons. The accommodation capacity provided in the pension is 43 beds. Pension offers background designed for relaxation or wellness stays thanks to the sauna and whirlpool. The building has rectangular plan on two basements and two above-ground floors with a mono-pitched roof facing south. This makes it possible to use solar power from the roof and south-facing facade. Water from the roof of the building is collected in a small pond, which serves as a storage reservoir useful in case of fire and vineyard irrigation. Near the building there are paved and parking areas.