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  • 1.
    Abrahamsson, Sara
    et al.
    Linköping University, Department of Computer and Information Science.
    Andersson, Frida
    Linköping University, Department of Computer and Information Science.
    Jaldevik, Albin
    Linköping University, Department of Computer and Information Science.
    Nyrfors, Frans
    Linköping University, Department of Computer and Information Science.
    Jareman, Erik
    Linköping University, Department of Computer and Information Science.
    Kröger, Oscar
    Linköping University, Department of Computer and Information Science.
    Tjern, Martin
    Linköping University, Department of Computer and Information Science.
    TopQ - a web-based queuing application: A case study in developing a queuing application for students and tutors with focus on navigability and design2021Independent thesis Basic level (degree of Bachelor), 12 credits / 18 HE creditsStudent thesis
    Abstract [en]

    Students’ learning processes can be affected negatively by long waiting times to get assistance on lesson- and lab-sessions. Studies show that digital queuing systems decrease the waiting time. Thus, the purpose of this report is to investigate how to design a web-based queuing application to achieve a high perceived usability for students and tutors. Especially based on navigability and design which in accordance with research in the area has a direct impact on the usability. To achieve a high perceived usability the application was developed iteratively. In the first version the implemented functionality was built upon the result from the feasibility study combined with research in the area. After a set of user evaluations, changes from the first version were implemented to further improve the perceived usability. Lastly, another set of evaluations were performed to confirm the improvement in the final version. The results showed that the first version of the system was perceived as 84 out of 100 on the System Usability Scale (SUS) and the final version as 88 out of 100, an improvement by four units. Uniform design, no irrelevant functionality, placing buttons in conspicuous positions and having double checks to “dangerous actions” all seem to be factors contributing to the navigability, desirability and thus the usability on a queuing-application.

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  • 2.
    Jareman, Erik
    et al.
    Linköping University, Department of Computer and Information Science, Software and Systems.
    Knast, Ludvig
    Linköping University, Department of Computer and Information Science, Software and Systems.
    Improving Unreal Engine Imagery using Generative Adversarial Networks2023Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Game engines such as Unreal Engine 5 are widely used to create photo-realistic renderings. To run these renderings at high quality without experiencing any performance issues,high-performance hardware is often required. In situations where the hardware is lacking,users may be forced to lower the quality and resolution of renderings to maintain goodperformance. While this may be acceptable in some situations, it limits the benefit that apowerful tool like Unreal Engine 5 can provide. This thesis aims to explore the possibilityof using a Real-ESRGAN, fine-tuned on a custom data set, to increase both the resolutionand quality of screenshots taken in Unreal Engine 5. By doing this, users can lower theresolution and quality of their Unreal Engine 5 rendering while still being able to generatehigh quality screenshots similar to those produced when running the rendering at higherresolution and higher quality.

    To accomplish this, a custom data set was created by randomizing camera positionsand capturing screenshots in an Unreal Engine 5 rendering. This data set was used to finetune a pre-trained Real-ESRGAN model. The fine-tuned model could then generate imagesfrom low resolution and low quality screenshots taken in Unreal Engine 5. The resultingimages were analyzed and evaluated using both quantitative and qualitative methods.The conclusions drawn from this thesis indicate that images generated using the finetuned weights are of high quality.

    This conclusion is supported by quantitative measurements, demonstrating that the generated images and the ground truth images are similar.Furthermore, visual inspection conducted by the authors confirms that the generated images are similar to the reference images, despite occasional artifacts.

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    fulltext
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