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  • 351.
    Östansjö, Patrik
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management.
    Utveckling av nytt Radiofarmakaregister i Java2012Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesis
    Abstract [sv]

    Avdelningen Nuklearmedicin på Gävle sjukhus har problem med att deras befintliga ”Radiofarmakaregister” inte fungerar på Windows 7, som de håller på att uppgradera till. Därför har Gävle sjukhus utlyst ett examensarbete med syftet att lösa problemet med att programmet inte fungerar på Windows 7. Det här projektet gick ut på att utveckla ett nytt program från grunden med de krav sjukhuset ställde. Det nya programmet utvecklades i programmeringsspråket Java. Vid projektets slut uppfylldes de krav som ställdes på projektet

  • 352.
    Östberg, Rasmus
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Computer science.
    Robustness of a neural network used for image classification: The effect of applying distortions on adversarial examples2018Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    Powerful classifiers as neural networks have long been used to recognise images; these images might depict objects like animals, people or plain text. Distorted images affect the neural network's ability to recognise them, they might be distorted or changed due to distortions related to the camera.Camera related distortions, and how they affect the accuracy, have previously been explored. Recently, it has been proven that images can be intentionally made harder to recognise, an effect that last even after they have been photographed.Such images are known as adversarial examples.The purpose of this thesis is to evaluate how well a neural network can recognise adversarial examples which are also distorted. To evaluate the network, the adversarial examples are distorted in different ways and thereafter fed to the neural network.Different kinds of distortions (rotation, blur, contrast and skew) were used to distort the examples. For each type and strength of distortion the network's ability to classify was measured.Here, it is shown that all distortions influenced the neural network's ability to recognise images.It is concluded that the type and strength of a distortion are important factors when classifying distorted adversarial examples, but also that some distortions, rotation and skew, are able to keep their characteristic influence on the accuracy, even if they are influenced by other distortions.

  • 353.
    Östholm, John
    University of Gävle, Department of Mathematics, Natural and Computer Sciences. University of Gävle, Department of Mathematics, Natural and Computer Sciences, Ämnesavdelningen för datavetenskap.
    Spelkaraktär: En kreativ designprocess2009Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [sv]

    Designprocessen för en ”next-gen”-spelkaraktär är i dag förhållandevis invecklad och innehåller många olika moment innan den når sitt slutgiltiga stadium med en färdig karaktär som resultat. Den här artikeln dokumenterar designprocessen för en spelkaraktär från början till slut och kommer att se mycket till den kreativa men även den tekniska aspekten av detta arbete. Arbetet resulterar i en karaktär som modelleras, skulpteras, animeras och slutligen importeras till Unreal Editor 3.0.

  • 354.
    Östlund, Eric
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management.
    Lernholt, Kim
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management.
    Physical Activity Toolkit: Utveckling av en tillgänglig mobilapplikation för kognitivt funktionsnedsatta2014Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesis
  • 355.
    Östlund, Robert
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management.
    Johansson, Patrik
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management.
    Sentence First CAPTCHA: Proposal and study of a text based CAPTCHA scheme2011Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    A major problem on the Internet is automated computer programs abusing services intendedto be used only by humans. Therefore, a method is needed to separate computersfrom humans. Completely Automated Public Turing Test To Tell Computers and HumansApart, or CAPTCHA, is a term used to describe a test that is difficult for computers andeasy for humans to pass and that can be generated and graded automatically. Most of theCAPTCHA schemes currently in use rely on some kind of image or audio recognitionproblem, making them unavailible to the visually and/or audially impaired. Additionally,visual CAPTCHAs can currently be broken with alarmingly high success rates. We proposea CAPTCHA scheme based purely in the text domain which we have named SentenceFirst CAPTCHA. The problem imposed on the users consists of classifying stochasticallygenerated sentences by fluency and legibility and pairs of sentences by semantic coherence.This scheme was implemented and tested by means of several surveys. The answers wereanalysed and the results show that this could very well be a feasible CAPTCHA scheme.

5678 351 - 355 of 355
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