House on a slope on Topolova Street

Rudakov, Roman: Rodinný dům Horní Těrlicko, okres Karviná, Moravskoslezský kraj, Bakalářská práce, Ostrava: VŠB – Technická univerzita Ostrava, Fakulta stavební, Katedra architektury, 2024, vedoucí bakalářské práce: Ing. arch. Krčmář Igor, Ph.D., konzultant Ing. Filip Čmiel, Ph.D. Předmětem této bakalářské práce je vypracování projektové dokumentace pro provádění stavby rodinného domu v Horním Těrlicku, konkrétně na parcele č. 3925/7 v obci Těrlicko, okres Karviná v Moravskoslezském kraji. Návrh rodinného domu vychází z architektonické studie zpracované v předmětu Ateliérová tvorba V. Během této studie se dále byla zpracovávaná výkresová dokumentace pro stavební povolení, řešená v předmětu Ateliérová tvorba V. Specializací této bakalářské práce bylo zvoleno Architektura, kde bylo vypracováno řešení přístřešku nad terasou domu. Práce obsahuje textovou část projektové dokumentace s technickou zprávou a výkresovou část, která je doplněna o specializaci.Rudakov, Roman: Family house Horní Těrlicko, Karviná District, Moravian Silesian Region, Bachelor's Thesis, Ostrava: VŠB – Technical University Ostrava, Faculty of Civil Engineering, Department of Architecture, 2024, Bachelor's thesis supervisor: Ing. arch. Krčmář Igor, Ph.D., consultant Ing. Filip Chmiel, Ph.D. The subject of this bachelor's thesis is the development of project documentation for the construction of a family house in Horní Těrlicko, specifically on plot No. 3925/7 in the community of Těrlicko, Karviná district in the Moravian-Silesian Region. The design of the family house is based on an architectural study processed in the subject Ateliérová tvorba V. During this study, the drawing documentation for the building permit, dealt with in the subject Ateliérová tvorba V, was also processed. Architecture was chosen as the specialization of this bachelor's thesis, where the solution for the shelter above the terrace of the house was developed. The thesis contains the text part of the project documentation with a technical reportand the drawing part, which is supplemented by specialization.226 - Katedra architekturyvelmi dobř

UPRAVLJANJE HORIZONTALNIM TERENSKIM IZLUŽIVANJEM NA MONGOLSKIM LEŽIŠTIMA URANA

This paper summarizes the results of evaluating uranium in-situ leaching (ISL) parameters for hydrogenous deposits in eastern Mongolia. This method, also known as in-situ recovery (ISR) or solution mining was proposed for mining used to extract uranium from underground deposits without physically removing the ore. The studies included drilling, geophysical surveying, evaluations of rock properties and chemical composition of rocks and groundwater, as well as modelling coupled flow and transport for the “Ul’zit” deposit as a case study. The proposed horizon-oriented approach to process separate ore bodies at different depths allows for the mining process to be adapted to layered heterogeneity and allows successive leaching by wells of varying diameter and special design. This approach may reduce drilling costs and shorten the time for mining uranium deposits in Mongolia by 2 times on average. It was proven that this method is an environmentally friendly and cost-effective alternative to traditional underground or open-pit mining for uranium ore bodies. The economic evaluation confirms the effectiveness of the proposed solutions.U radu su sažeti rezultati procjene parametara pridobivanja urana izluživanjem za hidrogene naslage u istočnoj Mongoliji. Ova metoda, poznata i kao pridobivanje otapanjem, predložena je kao rudarska metoda za eksploataciju urana iz podzemnih ležišta bez fizičkoga transporta rude. Studija je uključivala bušenje, geofizičko istraživanje, procjene svojstava stijena, kemijskoga sastava stijena i podzemnih voda, kao i modeliranje spojenoga protoka i transporta ležišta Ul’zit kao studije slučaja. Predloženi pristup po horizontu za pridobivanje odvojenih slojeva na različitim dubinama omogućuje upravljanje rudarskim procesom prilagodbom slojevitoj heterogenosti te omogućuje uzastopno izluživanje pomoću bušotina različitoga promjera i specifičnih parametara. Tim se pristupom mogu smanjiti troškovi bušenja i skratiti vrijeme rudarenja ležišta urana u Mongoliji u prosjeku za dva puta. Dokazano je da je ova metoda ekološki prihvatljiva i isplativa alternativa tradicionalnomu podzemnom rudarstvu ili rudarstvu u površinskim kopovima za rudna tijela urana. Ekonomska evaluacija potvrđuje učinkovitost predloženih rješenja

Optimisation of the skiers trajectory in special slalom

AbstractThe model of alpine skier has been considered as a material particle connected with a weightless rod. The optimal ski trajectory that minimises the descent time along the special slalom track has been found with the specified values of the aerodynamic drag coefficient and the coefficient of ski-snow friction

Hormonal therapy for ovarian dysfunctions in high-productive cows

The analysis was made of culling data in the farm of the Udmurt Republic. As a result, it was found that the animals are eliminated due to gynecological and limb diseases. They make up 19–24 % and 18–31 % respectively. Analyzing the results of gynecological clinical examination of cows, we found a predominance of ovarian diseases 32–36 %, as well as endometritis 28–30 %. The ovarian dysfunction progresses mostly. This can be attributed to an increase in the productivity of cows in the Udmurt Republic over the past 5 years from 5601 to 6250 kg per 1 cow. In connection with an increase in the incidence of ovaries, the calf yield per 100 cows decreases from 88 to 85 %. Causes of ovarian disease can be diseases of the birth and postpartum period. For the treatment of ovarian hypofunction, 3 schemes were used for anestral and reactive reproductive cycles. Often, the cause of ovarian hypofunction is uterine pathology; drugs that have a therapeutic effect on the uterus are included in the scheme.</jats:p

Hormonal therapy for ovarian dysfunctions in high-productive cows

The analysis was made of culling data in the farm of the Udmurt Republic. As a result, it was found that the animals are eliminated due to gynecological and limb diseases. They make up 19–24 % and 18–31 % respectively. Analyzing the results of gynecological clinical examination of cows, we found a predominance of ovarian diseases 32–36 %, as well as endometritis 28–30 %. The ovarian dysfunction progresses mostly. This can be attributed to an increase in the productivity of cows in the Udmurt Republic over the past 5 years from 5601 to 6250 kg per 1 cow. In connection with an increase in the incidence of ovaries, the calf yield per 100 cows decreases from 88 to 85 %. Causes of ovarian disease can be diseases of the birth and postpartum period. For the treatment of ovarian hypofunction, 3 schemes were used for anestral and reactive reproductive cycles. Often, the cause of ovarian hypofunction is uterine pathology; drugs that have a therapeutic effect on the uterus are included in the scheme

System of prevention of gynaecological diseases in high-productive cows under in a farm in the Udmurt Republic

The purpose of the work is to develop a system for the restoration of the genital organs of cows after calving. We studied the therapeutic efficacy of drugs for the incidence of genital diseases of cows. The studies were conducted based on a complex of cattle of Black Motley breed at the facilities of Rico-Agro LLC in the Uvinsky district, Udmurt Republic. The average milk yield per lactation is 6250 kg. Most animals are susceptible to ovarian disease. The incidence of ovaries hypofunction increases annually. In the study of cows on the 60th day after calving, it was found that the uterus was ready for insemination in 86% of cows. However, the condition of the ovaries allows insemination of only 50% of the cows. The remaining animals needed treatment. The most common pathology was ovarian hypofunction. This is more common in highly productive cows and cows with a low body mass index. Three regimens for treating ovaries have been tested. The most effective Scheme 2 included Surfagon and an emulsion from ASD-2 and Tetravit. In the Scheme 2 group, 6 out of 8 cows were first successfully inseminated. It was established that using Estrofan on the first day after calving, it is possible to reduce the number of persistent corpus luteum

System of prevention of gynaecological diseases in high-productive cows under in a farm in the Udmurt Republic

The purpose of the work is to develop a system for the restoration of the genital organs of cows after calving. We studied the therapeutic efficacy of drugs for the incidence of genital diseases of cows. The studies were conducted based on a complex of cattle of Black Motley breed at the facilities of Rico-Agro LLC in the Uvinsky district, Udmurt Republic. The average milk yield per lactation is 6250 kg. Most animals are susceptible to ovarian disease. The incidence of ovaries hypofunction increases annually. In the study of cows on the 60th day after calving, it was found that the uterus was ready for insemination in 86% of cows. However, the condition of the ovaries allows insemination of only 50% of the cows. The remaining animals needed treatment. The most common pathology was ovarian hypofunction. This is more common in highly productive cows and cows with a low body mass index. Three regimens for treating ovaries have been tested. The most effective Scheme 2 included Surfagon and an emulsion from ASD-2 and Tetravit. In the Scheme 2 group, 6 out of 8 cows were first successfully inseminated. It was established that using Estrofan on the first day after calving, it is possible to reduce the number of persistent corpus luteum.</jats:p

Construction of an advanced method for recognizing monitored objects by a convolutional neural network using a discrete wavelet transform

The tasks that unmanned aircraft systems solve include the detection of objects and determining their state. This paper reports an analysis of image recognition methods in order to automate the specified process. Based on the analysis, an improved method for recognizing images of monitored objects by a convolutional neural network using a discrete wavelet transform has been devised. Underlying the method is the task of automating image processing in unmanned aircraft systems. The operability of the proposed method was tested using an example of processing an image (aircraft, tanks, helicopters) acquired by the optical system of an unmanned aerial vehicle. A discrete wavelet transform has been used to build a database of objects' wavelet images and train a convolutional neural network based on them. That has made it possible to improve the efficiency of recognition of monitored objects and automate a given process. The effectiveness of the improved method is achieved by preliminary decomposition and approximation of the digital image of the monitored object by a discrete wavelet transform. The stages of a given method include the construction of a database of the wavelet images of images and training a convolutional neural network. The effectiveness of recognizing the monitored objects' images by the improved method was tested on a convolutional neural network, which was trained with images of 300 monitored objects. In this case, the time to make a decision, based on the proposed method, decreased on average from 0.7 to 0.84 s compared with the artificial neural networks ResNet and ConvNets. The method could be used in the information processing systems in unmanned aerial vehicles that monitor objects; in robotic complexes for various purposes; in the video surveillance systems of important objects</jats:p

Construction of an Advanced Method for Recognizing Monitored Objects by A Convolutional Neural Network Using A Discrete Wavelet Transform

The tasks that unmanned aircraft systems solve include the detection of objects and determining their state. This paper reports an analysis of image recognition methods in order to automate the specified process. Based on the analysis, an improved method for recognizing images of monitored objects by a convolutional neural network using a discrete wavelet transform has been devised. Underlying the method is the task of automating image processing in unmanned aircraft systems. The operability of the proposed method was tested using an example of processing an image (aircraft, tanks, helicopters) acquired by the optical system of an unmanned aerial vehicle. A discrete wavelet transform has been used to build a database of objects' wavelet images and train a convolutional neural network based on them. That has made it possible to improve the efficiency of recognition of monitored objects and automate a given process. The effectiveness of the improved method is achieved by preliminary decomposition and approximation of the digital image of the monitored object by a discrete wavelet transform. The stages of a given method include the construction of a database of the wavelet images of images and training a convolutional neural network. The effectiveness of recognizing the monitored objects' images by the improved method was tested on a convolutional neural network, which was trained with images of 300 monitored objects. In this case, the time to make a decision, based on the proposed method, decreased on average from 0.7 to 0.84 s compared with the artificial neural networks ResNet and ConvNets. The method could be used in the information processing systems in unmanned aerial vehicles that monitor objects; in robotic complexes for various purposes; in the video surveillance systems of important object