The topic of this Diploma thesis is the project documentation of the new hotel building in Moravany u Brna. Hotel is designed as a detached building with 3 floors. In the first floor you can find an entrance hall, administrative part, restaurant and its background and the technical background. Another floors serve as accommodation for the guests. The building is designed with traditional building materials.

This master's thesis deals with design and development of a system for measuring altitude (height above ground level) of flying objects. It describes theoretical background related to altitude measurements in avionics as well as various techniques of altitude measuring. The measurement is conducted by HMD (Height measuring device) - embedded system which uses barometric pressure sensor to measure altitude. The main part of this thesis is dedicated to ground unit - a server running custom set of applications. Using this server and radio link, it is possible to send control commands to HMD, receive data, and propagate data into web application. Furthermore server acts as a data storage and is able to process and analyse data. The thesis also discusses the precision of the measurement and the data output. System was tested and used during several glider aerobatics competitions.

This diploma thesis solves a hotel in Třebíč, street Svabinského. The hotel is designed as four-storey, building with a basement, with warm flat roof over the fourth floor and terrace on the fourth floor. The hotel has 20 rooms with a total capacity of 44 persons. In the hotel is a restaurant for guests hotel. External walls in basement are made of concrete blocks. External walls in above-ground floors are made of brick blocks Heluz with external thermal insulation. Plot is planar. Part of the design is thermal assessment, accustic assessment and fire safery assessment.

The aim of master´s thesis is a design of newly medical facility – psychiatric hospital for long – term mentally ill persons. This work aims to develop project documentation for building construction. The object is on almost flat terrain on the selected piece of land in a quiet part of city Czech Budweis. The house has two above ground and is partial basement. The object is designed in a technology of Heluz system. The construction of the roof consists warm flat roof. Tha main entrance is oriented to the east. The project documentation which is needed for a realization of a new psychiatric hospital in worked up with six structural details including. Drawing part processed in a computer program AutoCad.

The topic of this thesis is the processing documentation of a fitness center with another establishment of wellness and coffehouse. Building is situated on a sloping terrain in Odry. It's a public services. The building has two above-ground floors and one basement. The loadbearing structure is of cast-in-place concrete frame. The building is insulated by contact insulating system ETICS. Roofing is of flat roof. On the land is designed park with 15 spaces directly accessible from the driveway.

Diploma thesis deals with a new polyfunctional building with in the town Třebíč. The aim of this work is to develop design documents for building construction. It is detached building with five above-ground floors and one basement. Spaces that are used to operate on the first floor and second floor are operationally separated. Three floors are intended for occupancy 30 – 40 persons.

The topic of my final thesis is a design of a new building prison. The building is designed as prison with supervision. The building is situated on a flat terrain on the selected piece of land in a city of Jindřichův Hradec. The building has three above-gound floors and one underground floor. The building is designed of a cast-in-place reinforced concrete wall system. The roof is made as warm flat roof. The main entrance is west-facing. The project documentation which is needed for a realization of the new building is worked up with six structural details. Drawing part was processed in a computer program ArchiCAD.

The main aim of the thesis is to design a Kindergarten. It is situated on the west outskirt of the Havlíčkův Brod on the plot no. 653/1 in the cadastral area Havlíčkův Brod. The plot is sloped to the south. The building has two above-ground floors. The ground floor is cross shaped, and we can consist of it on four parts. Three are classrooms with locker room, sanitary facilities for children and bed storeroom. The last part is technical facilities (storerooms, halls, utility room, control room and room for serving food). On the first floor there are offices for teachers, staff room, director’s room, and locker room for employees (cooks, cleaners). Food will be imported to kindergarten. My project is designed like a masonry wall system from sand-lime blocks Silka. Non-load bearing walls are from aerated concrete blocks Ytong. Floor structures are designed as pre-stressed concrete panels. Roof above the ground floor is flat intensive green roof and roof above the first ground floor is flat extensive green roof. The building is heated by two gas boilers in the utility room and and the whole is forcibly ventilated according to two air-conditioning units. I use Archicad 22 for designing my Kindergarten.

Coulomb Sum Rule states that the integration of the longitudinal response of a nucleus over the range of energy excitation dominated by quasi-elastic proton knock-out process should be equal to the total number of protons in the nucleus. The test of Coulomb Sum Rule will shed light on the question of whether or not the properties of nucleon are modified in the nuclear medium. In order to test the Coulomb Sum Rule in nuclei, a precision measurement of inclusive electron scattering cross sections in the quasi-elastic region was performed at Jefferson Lab. Incident electrons with energies ranging from 0.4 GeV to 4 GeV scattered from 4He, 12C, 56Fe and 208Pb nuclei at four scattering angles ( 15°, 60°, 90°, 120°) and scattered energies ranging from 0.1 GeV to 4 GeV. The Rosenbluth method with proper coulomb corrections is used to extract the transverse and longitudinal response functions at three-momentum transfers in the range 0.55 GeV/c ≤ |q| ≤ 1.0 GeV/c. The Coulomb Sum Rule is determined in the same |q| range and compared to predictions. This work is supported by the Department Of Energy through grant DE-FG02-94ER40844. / Physics

The efficient and timely monitoring of forest dynamics is of paramount importance and requires accurate, high-resolution and time-tagged predictions at global scale. Despite numerous methodologies have been proposed in the literature, existing approaches often compromise on accuracy, resolution, temporal fidelity or coverage. To tackle these challenges and limitations, the main objective of this doctoral thesis is the investigation of the potential of artificial intelligence (AI) for the regression of bio-physical forest parameters from spaceborne Earth Observation (EO) data. This work explores for the first time the combined use of TanDEM-X single-pass interferometric products and convolutional neural networks for canopy height estimation at country scale. To achieve this, a novel deep learning framework is proposed, leveraging the capability of deep neural networks to effectively capture the complex spatial relationships between forest properties and satellite data, as well as ensuring the adaptability to different environmental conditions. The design and the understanding of the model is driven by explainable AI principles and by considerations on large-scale forest dynamics, with a great emphasis set on the challenges related to the variable acquisition geometry of the TanDEM-X mission, and by relying on the use of LVIS-derived LiDAR measurements as reference data. Moreover, several investigations are conducted on the adaptability of the developed framework for transferring knowledge to related domains, such as digital terrain model regression and above-ground biomass density estimation. Finally, the capability of the proposed approach to be extended to the use of other EO sensors is also evaluated, with a particular emphasis on the ESA Sentinel-1 and Sentinel-2 missions. The developed deep learning framework sets a solid groundwork for the generation of large-scale products of bio-physical forest parameters from spaceborne EO data. The approach achieves cutting-edge performance, significantly advancing the current state of forest assessment and monitoring technologies.