Multicopters such as quadcopters are a popular tool within industries such as mining, shipping and surveillance where a high level of autonomy can save time, increase efficiency and most importantly provide safety. While Unmanned Aerial Vehicles have been a big area in research and used in the mentioned industries, the level of autonomy is still low. Simple actions such as loading and offloading payload or swapping batteries is still a manual task performed by humans. If multicopters are to be used as an autonomous tool the need for solutions where the machines can perform the simplest task such as swapping batteries become an important stepping stone to reach the autonomy goals. Earlier works propose landing solutions focused on landing autonomous vehicles but the lack of accuracy is hindering the vehicles to safely dock with a landing platform. This thesis combines multiple areas such as trajectory generation, visual marker tracking and UAV control where results are shown in both simulation and laboratory experiments. With the use of a Model Predictive Controller for both trajectory generation and UAV control, a multicopter can safely land on a small enough platform which can be mounted on a small mobile robot. Additionally an algorithm to tune the trajectory generator is presented which shows how much weights can be increased in the MPC controller for the system to remain stable.

Mobile platform fragmentation is one of the main challenges of mobile development today, forcing developers to develop one application for each targeted platform, which significantly impacts time and cost for application development and maintenance. The fragmentation has given rise to cross-platform application development tools and frameworks, making it possible to develop one single application compatible with several platforms. This thesis focuses on the web-based approach Progressive Web Applications (PWAs), which, in contrast to previous approaches, targets both mobile and desktop devices. We aim to point out the supported features, evaluate their suitability for QR code scanning, and their performance compared to alternative approaches on iOS. We specifically cover a feature set of 33 features and measure response times, CPU and memory utilization, geolocation accuracy, and QR code scanning correctness. We developed three benchmark artifacts for the performance analysis: a PWA, a React Native application, and a native iOS application, and conducted automated run-time experiments using the tools Xcode and XCUITest. The performance evaluation shows that native applications performed best in memory and CPU utilization, whereas React Native achieved the shortest response times. The feature evaluation shows that the majority of the features are supported or partially supported for PWAs, and that the support continues to grow. Still, PWAs lack support for crucial mobile features such as push notifications and background synchronization, making PWAs insufficient for advanced mobile application development on iOS. Nevertheless, this study shows that PWAs are well worth considering for applications with low requirements. / Fragmentering av mobilplattformar är en av de största utmaningarna inom mobilutveckling, vilket tvingar utvecklare att utveckla en applikation för varje specific plattform, vilket avsevärt påverkar tid och kostnad för applikationsutveckling och underhåll. Fragmenteringen har gett upphov till plattformsoberoende applikationsutvecklingsverktyg och ramverk, vilka möjliggör utveckling av en enda applikation kompatibel med flertalet plattformar. Det här examensarbetet fokuserar på det webbaserade tillvägagångssättet Progressiva Webb Applikationers (PWAs), som till skillnad från tidigare tillvägagångssätt, riktar sig till både mobila och stationära enheter. Den här studien syftar till att reda ut vilka funktioner som stöds av PWAs, utvärdera PWAs lämplighet för QR-kodskanning och deras prestanda jämfört med alternativa tillvägagångssätt på iOS. Mer specifikt täcker den här stiduen en evaluering av 33 essentiella mobilfunktioner samt en prestandaanalys genom mätning av svarstid, CPU- och minnesanvändning, geolokaliseringsnoggrannhet och QR-kodsskanning korrekthet. Vi utvecklade tre benchmark-artefakter för prestandaanalysen: en PWA, en React Native-applikation och en inbyggd iOS-applikation, och genomförde automatiserade experiment med verktygen Xcode och XCUITest. Prestandautvärderingen visar att inbyggda applikationer presterade bäst i minne och CPU-användning, medan React Native uppnådde de kortaste svarstiderna. Funktionsutvärderingen visar att majoriteten av funktionerna stöds eller delvis stöds för PWAs, och att stödet fortsätter att växa. Ändå saknar PWAs stöd för viktiga mobila funktioner som push-meddelanden och bakgrundssynkronisering, vilket gör PWAs otillräckliga för utveckling av avancerade iOS mobilapplikationer. Däremot är PWAs väl värda att överväga för applikationer med lägre krav.

No description available.

Orientador: Prof. Dr. Luiz Alberto L. Almeida / Coorientador: Prof. Dr. Ricardo Suyama / Dissertação (mestrado) - Universidade Federal do ABC, Programa de Pós-Graduação em Engenharia da Informação, Santo André, 2018. / Em diversas aplicações práticas, o QR Code é utilizado para codificar informações importantes, como por exemplo, informações técnicas sobre o equipamento no qual está afixado, ou dados para identificação de pacientes em hospitais, de maneira que é importante garantir a correta leitura da etiqueta que a contém. Entretanto, devido a degradações na própria etiqueta ou mesmo no processo de aquisição da imagem, modeladas como um ruído presente na imagem digital, é possível que o dado não seja corretamente decodificado. Dessa forma, no presente trabalho é proposta uma nova abordagem para a redução de ruído em imagens, visando minimizar erros de leitura de QR Codes. Considerando que o ruído apresenta característica impulsiva, foi desenvolvido um filtro adaptativo, capaz de minimizar as degradações na imagem e permitir a correta leitura da informação codificada. O método, embora simples, se mostrou bastante eficiente na redução do ruído, permitindo a recuperação da informação mesmo em condições bastante severas de degradação, mostrando-se significativamente mais eficiente do que a abordagem tradicional envolvendo o uso do filtro de mediana. / In several practical applications, the QR Code is used to encode important information, such as technical information about the equipment on which it is fixed or patient ID information in hospitals, and it is important to guarantee that the tag is correctly read. However, due to physical degradations in the tag or due to the image aquisition process, which are modeled as a noise, it is possible that read errors occur. Therefore, in this work, a new approach for image denoising is proposed, aiming to minimize read errors in QR Codes. Assuming that the noise, in such applications, has an impulsive characteristic, a new adaptive filter was developed, capable of minimizing image degradations and increasing the QR Code successful scan rate. Simulation results indicate that the proposed method is significantly more efficient than traditional approaches using median filters.

Today more and more objects in our daily lives are getting connected to the Internet. This phenomenon is called the Internet of Things and is a way for physical things such as cars, buildings or even bus stations to get access and communicate with other objects using the Internet. The problem is that for every Internet of Things device, an application is often needed in order to communicate with these devices. Developing mobile applications in a separate programming language for each operating system can be an expensive and time consuming task. In this thesis, we implement and evaluate a cross-platform mobile solution for users to interact with smart things using the advantages of web technologies. To compare previous findings in this area, two literature reviews has been performed to find out which is the state of the art on cross-platform mobile development frameworks and smart-things technologies used for interacting with physical objects. The result is a mobile application developed using PhoneGap and jQuery Mobile that interacts with iBeacons, where students inside a university building can get directions and schedules for different rooms. The application received good results from a couple of usability studies, and performed well when measuring its performance. The outcome shows that web technologies that exist today are a viable solution to native mobile applications in terms of interacting with smart things such as tagging technologies.

Goal of this thesis is modernization and extension of established web portal serving to create and manage invoices. The design and implementation emphasis on feedback from users so changes are really a benefit and not a burden. Uses wide range of different technologies and implementation is done using incremental model. Analyzes the impact of changes to number of visitors and receives feedback from users.

The master's thesis deals with encoding payment data invoices into QR codes in accordance with the by square standard. The SAP system along with a process of encoding data into QR codes and by square PAY standard is introduced in my thesis. In compliance with the standard function module is designed for the SAP system which is in the ABAB language, using Smartforms form allowing the QR codes to generate the invoice. The module is then subjected to testing. The results are evaluated in conclusion of the master's thesis and a description of potential further development is assessed as a final step.

The aim of this thesis is to highlight the importance of folk culture for tourism development and to suggest options for better evaluation and effective use of the potential of folk culture tourism in the selected region based on the results of the analysis in the region of Wallachia. In the introduction of the practical part I deal with the current supply of Wallachia. The fundamental part was quantitative marketing research in the form of a questionnaire survey. The aim of the survey was to identify the participants of tourism in terms of demographic characteristics, determine the purpose of the visit, analyse their financial expenses, and identify subjective perception of culture and assessment of infrastructure and services in the region. I designed a new product called "Wallachia hunt", which aim was to involve young people in the Wallachia culture, tourism allows participants to actively and an interesting way to travel around the region and specifically to discover its natural and cultural wealth. "Wallachia hunt" is based on the worldwide known activity called geocaching. In my work I have put together a detailed proposal for annual testing of this activity.

This thesis describes barcodes which are used in postal services. Specifically, it is concerned with Intelligent Mail Barcode, the GS1-128 code, the C128 code of Ceska posta (Czech Postal Services) and the QR code. The thesis attempts to analyze methods of encoding information into barcodes and error detection algorithms used for error correction during the decoding processes. Most importantly, there is described Reed-Solomon error correction in the QR code. There are presented and evaluated different methods of code detecting which are suggested by authors of various academic articles. The thesis also describes the method of creating test sets of images and proposed appearances of the scanning scene. Additionally, there are described algorithms for detection and decoding barcodes GS1-128, C128 and IMB in the image which was created during the work on this thesis. Finally, there is the evaluation of the percentage success of algorithms.