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From a Dumb Boiler to a Smart One Using a Smart Socket
Mitura, Jacek ; Zemčík, Pavel (referee) ; Materna, Zdeněk (advisor)
Nowadays, the world of smart devices is growing very fast. Nevertheless, it remains difficult to acquire smart device for water heating applications. The usual reasons complicating this fact include the lack of the possibility of connection to the central control unit, or the need to replace the entire boiler with a new smart model. In both cases, the additional disadvantage is the higher price of such a solution. Therefore, the aim of this bachelor's thesis is to create a comprehensive and affordable solution, ensuring the conversion of an existing boiler to smart using a smart socket and a central server controlling the household. The solution uses a daily consumption forecast based on an exponential moving average to save electricity.
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Smart Home Solution Based on ESP Modules and Raspberry Pi
Bartoš, Martin ; Smrčka, Aleš (referee) ; Janoušek, Vladimír (advisor)
Nowadays, the world of smart devices in households is growing significantly, where the devices communicate with each other and make people's lives easier. However, a major problem with the purchase of these devices to common households is the high price and compatibility of those products from one vendor. The goal of this bachelor thesis is to create a comprehensive low-cost smart home solution that the user will be able to manage without much effort. This solution is implemented by the latest technologies and tools.
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Processing and Storing of IoT Data with Focus on LoRA Sensor Networks
Moravčík, Tomáš ; Burget, Radek (referee) ; Hynek, Jiří (advisor)
This Bachelor's thesis deals with developing a web application designed to add LoRa devices to the LoRaWAN network. The application meets the requirements of progressive web applications, which allow the application to be portable and yet to behave like a native application. Devices are added to The Thing Stack cloud platform, which serves as the LoRaWAN network server. The application was developed in TypeScript in the Angular environment. This work aims to increase the efficiency and speed of registering devices to the network and reduce the difficulty of the process. Work was accomplished in cooperation with the company Logimic.
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Study of Using Wearable Devices
Hlavačka, Martin ; Dalecký, Štěpán (referee) ; Samek, Jan (advisor)
In recent years, the amount of wearables and level of their interaction with users is constantly increasing and deepening. This fact is followed by this thesis, in which I aimed on creating a overview study of best known and available devices on the market. In subsequent chapters the various options available for developing applications for these devices are analyzed. Based on the acquired knowledge content also contains development of demonstration app for the selected smartwatch Motorola Moto 360 sport. Created overview and analysis of development options provide knowledge for orientating and information required either for selection of wearable device or software development for it.
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Implementation of Google Home voice assistant
Matula, Vladimír ; Štůsek, Martin (referee) ; Zeman, Kryštof (advisor)
The main goal of this bachelor thesis was to investigate the smart devices field together with technologies linked to it. Further, it describes the implementation of Google Assistant to Raspberry Pi 3 and options of controlling it via the Dialogflow platform. The thesis provides hands-on experience and is structured into two parts. The first, theoretical section focuses on Internet of Things and Device to Device communication. It also describes currently available smart home assistants and their functionalities. The thesis also describes the Dialogflow platform together with it's functionalities and options of it's use. The practical part of this thesis describes implementation of the Google Assistant in Raspberry Pi 3, development and integration of application created for it and the creation of home weather station.
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Processing Sensor Data from a Wearable Device by Machine Learning
Hlavačka, Martin ; Dobeš, Petr (referee) ; Herout, Adam (advisor)
The goal of this master's thesis is to analyze the situation of wearable devices with the Android Wear operating system and recognition capabilities of various movement activities using neural networks. The primary focus is therefore on identifying and describing the most appropriate tool for recognizing dynamic movements using machine learning methods based on data obtained from this type of devices. The practical part of the thesis then comments on the implementation of a stand-alone Android Wear application capable of recording and formatting data from sensors, training the neural network in a designed external desktop tool, and then reusing trained neural network for motion recognition directly on the device.
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Web Visualization of Smart Devices Data in IoT
John, Petr ; Burget, Radek (referee) ; Hynek, Jiří (advisor)
Due to the constant growth in the count of smart devices the need to store, aggregate and process the data effectively rises. The gathered data needs to be displayed effectively to the user, who will be able to react to the current state of the monitored device. This master's thesis deals with storing the data and displaying them using dashboards. The goal of this thesis was the creation of a library composed of components intended for data visualization and a simple API application, that can store and query the data effectively. The library is introduced in a simple application that uses the API application. Some parts of this solution are currently used in the company Logimic, where the costs of the database system reduced to 15 % of the average cost of the previous database system in the last 2 months. The rest of the solution is currently being integrated into the existing systems of the company.
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Spotřební chování v oblasti m-commerce
Křivák, Martin
Křivák, M. Consumer behaviour in m-commerce. Diploma thesis. Brno: Mendel University, 2023 The thesis deals with consumer behaviour in m-commerce (mobile com-merce). From primary research using a questionnaire survey, it is found that con-sumers perceive the biggest advantages of m-commerce as the ability to shop any-time, anywhere and convenience. On the other hand, they perceive difficult adapta-tion by older people and limited physical contact as the biggest disadvantages. The factors that most influence consumer behaviour are price, supply and availability and user-friendliness. It is also found that consumers mostly purchase goods or services from the following categories: food, beverages and pet food, clothing and accessories, and electronics. Using cluster analysis, consumers are divided into four segments and recommendations for retailers are identified for each segment.
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Web Visualization of Quality Control Data from Industrial Devices
Kozhevnikov, Dmitrii ; Hynek, Jiří (referee) ; John, Petr (advisor)
Currently, each specialist is faced with a large amount of data, and his goal is to work with them as efficiently as possible, but there are not often platforms that are able to provide an effective display of information for each user and have the possibility of individual customization. This bachelor thesis deals with data storage and display using dashboards. The aim of the work was to design and create a dashboard for organizations focused on quality control, which will allow not only to effectively display the necessary data, but also provide the user with the opportunity to customize the displayed information depending on his requirements and tasks. Some parts of this solution were deployed by Sanezoo. The result of the work done is an application for data visualization, which provides the user with data in tables in a convenient form, and also allows you to create and edit charts that will be displayed on a special dashboard. The application has been tested both with the help of automatic tests and by real users. In the future, new options will be added according to the test feedback and the application will be integrated into the Sanezoo application.
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Family house automation system
Heczko, Dominik ; Cejpek, Zdeněk (referee) ; Dosoudilová, Monika (advisor)
The thesis deals with the automation of a family house. After an introduction to different automation options, a system based on an open-source project Home Assistant is proposed. Commercially available devices are connected to this system to provide control of appropriate functions. For each device, the configuration procedure is described. Furthermore, a prototype of a smart lighting controller and a smart thermometer is designed and built.
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