National Repository of Grey Literature 19 records found  previous11 - 19  jump to record: Search took 0.01 seconds. 
Automatical plant growing
Stupka, Tomáš ; Dřínovský, Jiří (referee) ; Götthans, Jakub (advisor)
The aim of the thesis is to design and an automated hydroponic station, which will be intended for the cultivation of herbs and vegetables for the purpose of user. The station will be controlled by a Raspberry Pi minicomputer, to which a number of sensors will be connected, which will check pH, EC, ambient temperature and other quantities. Furthermore, an external sensor with an ATMEGA328P control processor will be designed to check the ambient lighting parameters. A web interface will be created for the station, which will allow the user to follow the development of individual measured quantities over time.
Model Ensembeling: A simple way of improving model performance for chromosome classification
Pijáčková, Kristýna ; Gotthans, Tomáš ; Gotthans, Jakub
This paper deals with chromosome classification via convolutional neural networks and model ensembling. Chromosome classification is a part of a procedure in karyotyping, where the chromosomes should be paired and ordered so that they are prepared for inspection of abnormalities. Model ensembling was used as a technique to improve overall classification accuracy by using all of the trained models. We achieved 94.8 \% accuracy for a Q-band BioImlab dataset and 97.48 \% for a G-band chromosome CIR dataset.
Development of a system for measuring the motor skills of small animals
Ryšavá, Michaela ; Götthans, Jakub (referee) ; Frýza, Tomáš (advisor)
The main objective of the project was to explore methods of motion measuring using sensors, select a suitable method, create a system and a application for measuring the speed of small animals. It is a dedicated project to measure a research in coperation with Masaryk university, which aimed to explore the the mobility of lizards living in the Czech Republic. In particular, commercial systems provide a solution by analyzing camera data. For the desired speed measurement of various shapes, the implementation of image processing is cost-ineffective and more complicated than using electronic sensor solutions. The most appropriate solution an infrared optical gate appears, due to constant results accuracy when changing the colors and sizes of measured individuals, small size and relatively easy implementation. Furthermore, a straight track and an electronic system using the selected optical gate concept has been constructed and implemented software for control and evaluating the entire measurement.
Prediction and analysis of traffic crossings using machine learning
Hlaváček, Jakub ; Frýza, Tomáš (referee) ; Götthans, Jakub (advisor)
The thesis focuses on the area of traffic control, specifically traffic control of intersections, especially control technologies based on the obtained traffic data. The main goal of the work is the design and subsequent implementation of a real intersection Anenská and Capt. Jaroše, Pardubice in the form of a model. The work also deals with the demonstration of the used signal programs of junction control through the created model. The model is assembled from a wooden base and smaller parts are made by 3-D printing. The unit is controlled by an Arduino microcomputer. In creating this thesis, I managed to understand the comprehensive traffic management in today’s cities, which requires the current traffic situation.
Prediction and analysis of traffic using machine learning
Jašek, Filip ; Maršálek, Roman (referee) ; Götthans, Jakub (advisor)
This term paper deals with algorithms and mathematical apparatuses used in Machine Learning. Part of the semestral work is linear regression and classification which deal with the search for optimal parameters which are used for making predictions. Last but not least the work focuses on neural networks and algorithms needed to build them.
Prediction and analysis of traffic using machine learning
Jašek, Filip ; Maršálek, Roman (referee) ; Götthans, Jakub (advisor)
This term paper deals with algorithms and mathematical apparatuses used in Machine Learning. Part of the semestral work is linear regression and classification which deal with the search for optimal parameters which are used for making predictions. Last but not least the work focuses on neural networks and algorithms needed to build them.
Industrial low complexity Ethernet system
Šustek, Vladimír ; Götthans, Jakub (referee) ; Götthans, Tomáš (advisor)
The diploma thesis is focused on the building embedded demonstration application of the proprietary Low Complexity Ethernet module for industrial usage further called the LEN/LES 2. At the first, main used technologies such as MCU, or the lightweight IP stack is discussed, Consequently, there is detailed view on system hardware architecture proposed by hardware and software requirements. Then though part describes blocks of embedded system are in term of specific parts and hardware requirements to create universal board. Following chapters expresses first startup and known hardware bugs, LWIP implementation and MODBUS system implementation. The core of the system is the new released microcontroller an ADuCM4050 and the Low Complexity Ethernet MAC-PHY prototype block and much more dependent convenient peripherals of the MCU based application.
Wireless Network
Götthans, Jakub ; Hruboš, Zdeněk (referee) ; Koch, Miloš (advisor)
The aim of this work is to design and realization of WLAN at GK SERVIS, spol. s r.o. The conception will be verified by measuring the functionality, security and reliability. The thesis is divided into theoretical, analytical and practical. The first part will discuss the theoretical problems of processing of wireless networks, in the second part analyzed the current status of LAN and WLAN in the last section has been prepared by the project and subsequently realized.
Information System Design
Götthans, Jakub ; Petržela, Jiří (referee) ; Koch, Miloš (advisor)
The master’s thesis deals with problematic of information systems of the company which deals with the ambulant, gynecologic and genetic examination of patients. Assesses the current state of the company, main business processes and their information support. It suggest new information system to support genetic examination including economic evaluation and impact of its implementation.

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