National Repository of Grey Literature 24 records found  previous5 - 14next  jump to record: Search took 0.01 seconds. 
Design of smart sensor equipped with LoRa technology
Šigut, Štěpán ; Pokorný, Jiří (referee) ; Štůsek, Martin (advisor)
Over the past years few trends have become as profound in the technology industry as yearly increases in battery capacity, transistor density and price drops for computing power. These trends follow a steep curve and drive what has become known as IoT or Internet of Things. Ever increasing number of devices connected to the internet are putting high demands on wireless network technologies. During the last decade several new wireless technologies have emerged and are competing to become the next go-to technologies for applications such as smart cities, smart cars and smart factories. LoRaWAN is one relatively new competitor to the market and is the central topic of this thesis.
Simulation model of waste collection for Network Simulator 3
Kolaja, Lukáš ; Mlýnek, Petr (referee) ; Fujdiak, Radek (advisor)
The goal of this diploma thesis is create an application for route optimalization for waste collection which is one of the technologies of smart cities. At first was described issue of smart cities focused to waste collection. The thesis describes the real deployment of smart waste collection using sensor network and was also designed its own model of smart waste collection. It is also described graph theory and related genetic algorithms which is suitable for waste collection optimalization. On that basics an application was made in C/C++ language which using a genetic algorithm to compute best possible path in graph which represents a map where waste is collected. By input data to application is vector image of evaluated graph in SVG data format.
Processing and Storing IoT Data in Relational Databases with Application of Cloud Services
Hlava, Jakub ; Bartík, Vladimír (referee) ; Hynek, Jiří (advisor)
Smart cities and systems for their management are constantly producing great amount of data, which needs to be processed and stored. The goal of this Bachelor's thesis is to create a tool, which will make developers able to test influence of this amount of data on their system, especially on database server. Then they will be able to adjust their cloud infrastructure for assumed level of load before it's real-world deployment. The tool is developed using Python programming language as collection of components which makes scalable load testing possible from many places at the same time. Data about the course of test and about service of PostgreSQL database server is collected by the tool during testing. Course of the test can be controlled and monitored by user using integrated web interface, which also visualizes collected data in form of charts. The tool was created in cooperation with Logimic, s.r.o., tailored to their system for smart cities management.
Srovnání konceptu Smart cities ve vybraných evropských metropolích
Fiebich, David
This master's thesis focuses on the implementation of the Smart City concept in three selected European cities – Vienna, Prague, and Berlin. The work analyzes and compares the strategies and plans of these cities for implementing smart solutions, evaluating their impact, and motivations for their introduction. Based on this analysis, the strengths and weaknesses of each city were identified, and recommendations for further development were proposed. The results show that despite certain differences in the approach and focus of each city, there are common motivations and goals that reflect global trends in urbanism and technology.
The Interplay Between Smart Cities and Disaster Risk Reduction: A Study of the City of Amsterdam
Rossi, Alice ; Špelda, Petr (advisor) ; Střítecký, Vít (referee)
The thesis examines how the development of smart cities interplays with the enhancement of Disaster Risk Reduction. Natural disasters are increasing, especially in urban areas, representing a concentration of social, economic and institutional vulnerabilities due to high population density. The development of smart cities could represent an opportunity to make urban areas safer and prepared to handle possible extreme weather events, as they are based on the development of cross-sectoral policies to deal with urban challenges and increase the city's overall efficiency. Through a single case study research of the city of Amsterdam, the thesis aims to prove the connections between smart cities and disaster risk reduction frameworks through qualitative data analysis. The findings show the overall efficiency of the approach employed by the city of Amsterdam for both the development of the smart city and disaster risk reduction. Even if the city does not explicitly state the connection between the two domains, the study found that Amsterdam's smart city policies have several elements that interplay with the framework of disaster risk reduction, enhancing its effectiveness. Keywords Smart Cities, Disaster Risk Reduction, Disaster Risk, Vulnerability, Resilience, Policy-Making Title The Interplay Between...
Street Light Control on Smart City Platform
Jůzl, Radek ; John, Petr (referee) ; Hynek, Jiří (advisor)
The goal of this bachelor's thesis was to design smart public lighting on the Smart City platform. The proposed solution is located in the ACADA system, where the light profile is generated. The generation of light profiles is based on the presence of people in the area. The user is allowed to set the parameters of the occurrence limits for individual percentages of luminosity.
Optimization of KPI Processing
Šulc, Ondřej ; Bartík, Vladimír (referee) ; Hynek, Jiří (advisor)
This thesis deals with the optimization of data processing from IoT sensors of smart cities into the form of key performance indicators (abbr. KPI). KPIs are a mean of monitoring a large amount of data and expressing the status of performance factors affecting the prosperity of the entire city. Data processing in this form is a computationally demanding process, but it consists of a large number of mutually independent calculations. Therefore the goal of this thesis was to perform optimization using parallelization. In parallel processing, calculations can be divided between multiple threads, enabling all available computing resources (CPU cores) to be fully used. This concept was practically implemented in the Smart City project of Logimic company. However, the project is built on the Node.js platform, and when using parallelization there are complications with the use of libraries for object-relational mapping (abbr. ORM). ORM libraries on the Node.js platform are not always ready to work in a parallel environment. This problem is solved by creating a separate instance of the used library for each parallel thread. The thesis focuses on reducing the overhead associated with this and also on the correct distribution of work between parallel threads so that all cores are used equally. The results of this work prove that optimizing IoT data processing using parallelization leads to a significant speedup that conforms to Amdahl's law, as overhead problems can be reduced to a negligible minimum.
System for Service Workers’ Routes Planning
Mlčoch, Michal ; Bartík, Vladimír (referee) ; Hynek, Jiří (advisor)
This bachelor’s thesis deals with the issue of service requests arising in smart cities and their planning into the routes for service workers. The thesis discusses the issue of the concept of smart cities, route optimization and analysis of services providing route optimization. This work aims to create a system for planning the routes of service workers for the smart city platform developed by Logimic. The main functionality is to enable route optimization through third-party services, and the emphasis is on being able to easily change the thirdparty service providing the optimization.
API Testing on Smart City Platform
Kovalski, Martin ; John, Petr (referee) ; Hynek, Jiří (advisor)
The IoT environment involves a large number of sensors that produce vast amounts of data. This data needs to be processed and displayed to users. Various clients (web or mobile applications) are created for this purpose. In order to get the data to these clients, application interfaces are needed. The aim of this work is to test an existing REST-like application interface that allows data transfer from the cloud to client applications and to provide endpoint developers of this API with a tool that will allow them to test emerging endpoints in the future. To this end, an application has been created to facilitate the management and creation of tests. These tests are then run using the Codeception testing framework. The resulting application allows you to test a REST API that has an OpenAPI specification created and that uses a PostgreSQL database to run.
Tool for Managing Modules on Smart City Platform
Souček, Tomáš ; John, Petr (referee) ; Hynek, Jiří (advisor)
In recent years there has been a rapid increase in the number of digital devices by which we humans are surrounded. Whether it is at work, at home, or in an industry. In order to effectively process and visualize the gathered data, there has been a number of platforms emerging to make this possible. The aim of this thesis was to prepare an extension tool for the SmartCity platform which would not only allow user-friendly module management but also provide the capability of application configuration changes on the fly at runtime. These changes could be made through a graphical user interface even without the knowledge of internal program logic. That way there rises the possibility of better dashboard customization. Another benefit of the extension tool is the elimination of application re-compilation every time there is a change in the application setting. The result of the practical part of this thesis is a tool implemented as an extension module, built on Angular technology. This module allows changing the application configuration using form and table views. This created module has been deployed to the SmartCity platform and will be the basis for further subsequent internal development.

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