This work serves to present the background, approach, and selected results for the initial master thesis and prototyping phase of Open Space, a joint visualization software development project by National Aeronautics and Space Administration (NASA), Linköping University (LiU) and the American Museum of Natural History (AMNH). The thesis report provides a theoretical introduction to heliophysics, modeling of space weather events, volumetric rendering, and an understanding of how these relate in the bigger scope of Open Space. A set of visualization tools that are currently used at NASA and AMNH are presented and discussed. These tools are used to visualize global heliosphere models, both for scientific studies and for public presentations, and are mainly making use of geometric rendering techniques. The paper will, in detail, describe a new approach to visualize the science models with volumetric rendering to better represent the volumetric structure of the data. Custom processors have been developed for the open source volumetric rendering engine Voreen, to load and visualize science models provided by the Community Coordinated Modeling Center (CCMC) at NASA Goddard Space Flight Center (GSFC). Selected parts of the code are presented by C++ code examples. To best represent models that are defined in non-Cartesian space, a new approach to volumetric rendering is presented and discussed. Compared to the traditional approach of transforming such models to Cartesian space, this new approach performs no such model transformations, and thus minimizes the amount of empty voxels and introduces less interpolation artifacts. Final results are presented as rendered images and are discussed from a scientific visualization perspective, taking into account the physics representation, potential rendering artifacts, and the rendering performance.

In this paper, an algorithm that calculates the direction of the wind from the directions of sailors during fleet races is proposed. The algorithm is based on a 1-D spatial convolution and it is named Convolution Based Direction Filtering (CBDF). The CBDF-algorithm is used in the TracTrac race client that broadcasts sailboat races in real-time. The fact that the proposed algorithm is polynomial makes it suitable, to be used as a real-time application inside TracTrac, even for large fleets. More concretely, we show that the time complexity of the CBDF-algorithm is O(n2), in the worst-case, where n > 0 is the number of boats in competition. It is also shown that in more realistic sailing scenarios, the CBDF-algorithm is in fact a linear algorithm.

The usage of cloud computing in order to move away from local servers and infrastructure have grown enormously the last decade. The ability to quickly scale capacity of servers and their resources at once when needed is something that can both be a price saver for companies and help them deliver high end products that will function correctly at all times even under heavy load to their customers. To meet todays challenges, one of the strategic directions of Attentec, a software company located in Linköping, is to examine the world of cloud computing in order to deliver robust and scalable applications to their customers. This thesis investigates the usage of cloud services in order to deploy scalable applications which can adapt to usage peaks within minutes.

This Master Thesis concerns a telepresence implementation which utilizes state-of-the-art virtual reality combined with live 360 degree video. Navigation interfaces for telepresence with virtual reality headsets were developed and evaluated through a user study. An evaluation of telepresence as a communication media was performed, comparing it to video communication. The result showed that telepresence was a better communication media than video communication.

An architecture for actionbased planning and cooperation between multiple AI-agents based on the GOAP-architecture was developed together with a system to be used in advanced AI-courses at Linköping unversity. The architecture was implemented in this system to show the possibilities of our work.

This thesis aims to improve the cross-platform reliability of software components tested on distributed CI systems. More specifically, it is centered on extracting crash information from cross-platform crashes. Crash information was generated and parsed on Mac, Linux and Windows. The crash information proved to be valuable for developers in their day-to-day job, especially the raw crash information. However, the graph visualizations that were created out of this information proved to be less than satisfactory for developers.

This study was performed by creating an android application that uses custom object recognition to scan and digitalize a series of checkbox form for example to correct multiple-choice questions or collect forms in a spreadsheet. The purpose with this study was to see which dataset and hardware with the machine learning library TensorFlow was cheapest, price worthy, enough reliable and fastest. A dataset of filled example forms with annotated checkboxes was created and used in the learning process. The model that was used for the object recognition was Single Show MultiBox Detector, MobileNet version, because it can detect multiple objects in the same image as well as it doesn’t have as high hardware requirements making it fitted for phones. The learning process was done in Google Clouds Machine Learning Engine with different image resolutions and cloud configurations. After the learning process on the cloud the finished TensorFlow model was converted to the TensorFlow Lite model that gets used in phones. The TensorFlow Lite model was used in the compilation of the android application so that the object recognition could work. The android application worked and could recognize the inputs in the checkbox form. Different image resolutions and cloud configurations during the learning process gave different results when it comes to which one was fastest and cheapest. In the end the conclusion was that Googles hardware setup STANDARD_1 was 20% faster than BASIC that was 91% cheaper and more price worthy with this dataset. / Denna studie genomfördes genom att skapa en fungerande androidapplikation som använder sig av en anpassad objektigenkänning för att skanna och digitalisera en serie av kryssruteformulär exempelvis för att rätta flervalsfrågor eller sammanställa enkäter i ett kalkylark. Syftet med undersökningen var att se vilka datauppsättningar och hårdvara med maskininlärningsbiblioteket TensorFlow som var billigast, mest prisvärd, tillräcklig tillförlitlig och snabbast. En datauppsättning av ifyllda exempelformulär med klassificerade kryssrutor skapades och användes i inlärningsprocessen. Modellen som användes för objektigenkänningen blev Single Shot MultiBox Detector, version MobileNet, för att denna kan känna igen flera objekt i samma bild samt att den inte har lika höga hårdvarukrav vilket gör den anpassad för mobiltelefoner. Inlärningsprocessen utfördes i Google Clouds Machine Learning Engine med olika bildupplösningar och molnkonfiguration. Efter inlärningsprocessen på molnet konverterades den färdiga TensorFlow- modellen till en TensorFlow Lite-modell som används i mobiltelefoner. TensorFlow Lite-modellen användes i kompileringen av androidapplikationen för att objektigenkänningen skulle fungera. Androidapplikationen fungerade och kunde känna igen alla inmatningar i kryssruteformuläret. Olika bildupplösningar och molnkonfigurationer under inlärningsprocessen gav olika resultat när det gäller vilken som var snabbast eller billigast. I slutändan drogs slutsatsen att Googles hårdvaruuppsättning STANDARD_1 var 20% snabbare än BASIC som var 91% billigare och mest prisvärd med denna datauppsättning.

Vid skapandet av ett användargränssnitt bör en utvecklare utgå från en rad designprinciper. Detta möjliggör ett effektivt användarflöde, där användaren navigerar genom systemet utan svårigheter. Därigenom kan användaren till fullo absorbera informationen som systemet erbjuder.   Designprinciperna ligger till grund för det praktiska arbetet som utfördes för denna rapport. Syftet var att utveckla en webbportal som användes av ett företag för samarbete med dess underleverantörer. Genom att utgå från principerna, samt intervjuer med användarna, skulle förbättringar göras på det nuvarande systemet. Detta skulle resultera i en bättre användarupplevelse och en optimal effektivitet för systemet.   Det praktiska arbetet delades upp i två steg. Det första steget innefattade konkreta ändringar på det nuvarande systemet, där mindre justeringar introducerades som enkelt kunde implementeras på den nuvarande webbportalen. Det andra steget handlade om en analys av marknadens främsta designlösningar, vilket skulle visa på existerande smarta och trendanpassade lösningar som kunde användas vid förbättring av systemet. Dessa steg utgjorde processen för det förbättringsarbete som skulle utföras på webbportalen.   Resultatet blev ett användargränssnitt som tillfredsställer majoriteten av användare. Genom de objektiva designprinciperna skapades ett användarvänligt system med ett effektivt användarflöde. / When creating a user interface, a developer should base their work on a number of design principles. This enables an effective user flow, where the user navigates through the system without difficulties. Thereby the user can absorb the information that the system provides to the fullest.   These design principles form the basis of the practical work that was carried out for this report. The purpose was to develop a web portal, which was used by a company for collaboration with its suppliers. By basing the development on the principles, as well as interviews with the users, improvements were to be made on the current system. This should result in a better user experience and an optimal efficiency of the system.   The practical work was divided into two stages. The first stage involved concrete changes on the current system, where smaller adjustments were introduced that could easily be implemented on the current web portal. The second stage was about an analysis of the market's leading design solutions, which should show existing smart and up-to-date solutions that could be used to improve the system. These steps constituted the process of improvement work that was to be carried out on the web portal.   The result was a user interface that satisfies the majority of users. Through the objective design principles a user friendly system with an efficient user flow was created.

Access control systems are an important concept in the area of computer security. In this master thesis different solutions are analyzed. The focus is on a tool called DW Access. DW Access is developed by Pdb Datasystem AB. A comparison was done that showed that DW Access is lacking some important functionality. After the comparison a base model for an access control system was designed. The new design includes concepts like relation- ships, replacements and time limited access. It also works for generic subjects and objects in the system. This design was later partly implemented in DW Access. The conclusions from this thesis work is that DW Access is a unique tool and there is a market for the application or similar applications. The new functionality was one step forward and the evaluation showed that the potential users liked the new concepts. But it is a very open area because of very unique requirements on the market.

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