This report aims to solve a problem for the   waxers in the Swedish National Cross-country Ski Team, which hereafter will   be referred to as the national team. The problem in hand is that currently,   the national team lacks a system for book-keeping of ski pairs and ski tests.   Also, the project intends to provide a tool for predicting the best ski pairs   in given conditions. The report describes cross-country skis and factors that   affect the performance of these skis. Moreover, this report presents the   testing procedure of the national team. The project provides a solution to   the problem in hand by developing a web service based on Django and Django   REST Framework and an iOS application to handle the user interaction. The app   was tested and approved by the waxers of the national team. To predict the   best performing skis in given conditions, the three Machine Learning   algorithms Support Vector Machine (SVM), Decision Tree, and Artificial Neural   Network (ANN) is implemented and evaluated. Experimental results indicate   that the ANN algorithm has better accuracy than the Decision Tree, and that   the SVM algorithms and that the SVM was performing slightly worse than the   other two, when applied on test data which is artificially generated based on   the experience of the national team. All three Machine Learning algorithms   perform better in terms of mean accuracy which is significantly higher   compared to the accuracy of a baseline algorithm. The report suggests that   the accuracy of the ANN algorithm is high enough to be useful for the   national team.

This diploma thesis deals with creating a container for the migration components that are used on the Android operating system, how they operate and distribute, the life cycle of the container, and the ability to customize other components for this container. The work deals with the analysis of the Android operating system, existing solutions, the design of the own container and the way of distributing the components on the devices where the container is used. The next section describes the implementation of the server component that distributes components. It also deals with the implementation of container-containing library and a sample application that illustrates how it is possible to link all these elements together.

This diploma thesis deals with the research of existing solutions of electronic information systems. The purpose of this survey is to inspire what is offered to users of these professional systems, or what users expect from these systems. Based on the acquired knowledge, the thesis also deals with the design of its own system, which can serve as another alternative to professional solutions of companies on the market, in the sense of the concept of solution of the given task. After the design of the system, the thesis deals chronologically with the selected "tools" used for the actual implementation of the assigned task Electronic Information Boards. Both hardware and software parts of the task, which form the majority of this thesis. At the end of the work are presented practical results.

The goal of this thesis is to create control software for stand-alone payment machines. The purpose of this software is minimize maintenance cost and usability as much as possible. Description of technologies and protocols used in implementation are in the text. Next, there is process of work beginning with analysis, continues with design, construction, testing and installation manual. Projekt status and product utilization at the end of project is in chapter about evaluation.

This work deals with the design and implementation of a web application for playback and annotation of multimedia data from files in BAG format. The created annotations are intended for training artificial intelligence in robotic systems. The resulting application is implemented with the help of React library for creating the user interface and framework Django for the server-side REST API. The entire application is containerized using Docker. This work describes the BAG format, analyzes modern libraries for creating web applications and introduces existing solutions for data annotation or playback of BAG files. Furthermore, the design of the application is presented and its implementation is described. A separate library rosbag_pyreader, which is used to read BAG files with random access, was created as part of this work. The resulting application allows user to display and annotate 2D and 3D data from multiple robotic sensors at the same time and then export the annotations in JSON format.

REST står för “Representational State Transfer” och är en arkitekturstil som har blivit ett populärt val för implementation av serviceorienterade arkitekturer (Haupt, Leymann &amp; Vukojevic-Haupt, 2018). REST är en koordinerad uppsättning av arkitektoniska restriktioner som syftar på att minimera latens och nätverkskommunikation, samtidigt som oberoendet och skalbarheten av komponentimplementering maximeras (Fielding &amp; Taylor, 2002). REST är främst baserat på HTTP (Hypertext Transfer Protocol) och skapandet av ett REST api går att genomföra med hjälp av de flesta programspråken. Ett REST api kan dock utvecklas med hjälp av många olika programspråk och vilket programspråk som ska användas för att få den bästa responstiden finns det i dagsläget väldigt lite forskning om. Detta arbetet kommer att jämföra två olika programspråk för att se vilket programspråk som kan användas för att utveckla ett REST api med den bästa responstiden. De programspråk som kommer att användas är Python och PHP. Resultatet på experimenten är att REST api:et skapat med hjälp av PHP har den bästa responstiden jämfört ett liknande REST api skapat med hjälp av Python. En slutsats kan då dras att ett REST api:et skapat med hjälp av PHP har den bästa responstiden. / <p>Det finns övrigt digitalt material (t.ex. film-, bild- eller ljudfiler) eller modeller/artefakter tillhörande examensarbetet som ska skickas till arkivet.</p>

The increase in connectivity and use of “smart” devices offers companies new possibilities to improve their efficiency by using digitalization. For example, booking of meeting rooms have gone from using a paper calendar to electronic booking. To enable both digital remote booking, as well as being able to book a room directly (as with a paper calendar) this project has developed a room manager system. The room manager is a device that provides a quick and intuitive way for employees to handle conference room booking. The project was started on behalf of the company ÅF, who would like to optimize their use of conference rooms.  The result was a fully functional touchscreen device built using a Raspberry Pi. The room manager integrates successfully with the existing calendar system used at ÅF and meets all the requirements set by ÅF. The device will be used to determine if a room manager system is worth investing in and may be used as a foundation for continued development.

När en film produceras spelar komponenten färg en viktig roll. I uppsatsen behandlas hur färg används i film för att färgkoda karaktärer, dvs. hur färgsemiotiken - vad vi associerar med färg - används för att gestalta eller understryka en karaktärs personlighet. Den kvalitativa undersökningen börjar med att förklara med vetenskapliga källor på vilket sätt färg påverkar människor och vad en betraktare associerar med färg. Därefter analyseras filmerna Baby Driver (2017), Django Unchained (2012) och Blade Runner 2049 (2017), som har utpräglade estetiska stilar genom att använda färg som berättarkomponent. I analysen undersöks hur färg används i filmerna för att berätta något om karaktärernas personligheter. Det diskuteras också vilka likheter och skillnader det finns i användningen av färgkodning i filmerna. Resultatet visar att färgkodning används i dem analyserade filmer för att skapa eller förstärka intrycket av karaktärernas personligheter. Likaså används färgkodning för att signalera en förändring av karaktärerna. Däremot finns det breda tolkningsmöjligheter av en färg, vilket medför att samma färg inte alltid står för samma personlighet. Färgen måste alltid tolkas till karaktärens kontext i filmen.

The goal of this thesis is to design and implement a multiplatform multilingual mobile application for detecting leukocoria in an image of human face for iOS and Android platforms. Leukocoria is a whitish light of the pupil, which can be seen on the photo when the flash is used. Early detection of this symptom can save human eyesight. The application itself allows to analyze a user's photo and detect the presence of leukocoria. The goal of the application is to analyze eyes of the human, from which the mobile application name - Eye Check is derived. React Native framework was used to create a multiplatform mobile application. The Dlib library was chosen for human face and eye detection, the OpenCV library for working with the photo. The convolutional neural network was used to classify the eyes for the possible presence of leukocoria. Client-Server communication is solved using the REST architecture. The result is a mobile application that detects leukocoria and allerts the user to visit his doctor if leukocoria is detected.

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