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  • 1.
    Han, Mengjie
    et al.
    Dalarna University, School of Technology and Business Studies, Statistics.
    Håkansson, Johan
    Dalarna University, School of Humanities and Media Studies, Cultural Studies.
    Rebreyend, Pascal
    Dalarna University, School of Technology and Business Studies, Computer Engineering.
    How do different densities in a network affect the optimal location of service centers?2013Report (Other academic)
    Abstract [en]

    The p-median problem is often used to locate p service centers by minimizing their distances to a geographically distributed demand (n). The optimal locations are sensitive to geographical context such as road network and demand points especially when they are asymmetrically distributed in the plane. Most studies focus on evaluating performances of the p-median model when p and n vary. To our knowledge this is not a very well-studied problem when the road network is alternated especially when it is applied in a real world context. The aim in this study is to analyze how the optimal location solutions vary, using the p-median model, when the density in the road network is alternated. The investigation is conducted by the means of a case study in a region in Sweden with an asymmetrically distributed population (15,000 weighted demand points), Dalecarlia. To locate 5 to 50 service centers we use the national transport administrations official road network (NVDB). The road network consists of 1.5 million nodes. To find the optimal location we start with 500 candidate nodes in the network and increase the number of candidate nodes in steps up to 67,000. To find the optimal solution we use a simulated annealing algorithm with adaptive tuning of the temperature. The results show that there is a limited improvement in the optimal solutions when nodes in the road network increase and p is low. When p is high the improvements are larger. The results also show that choice of the best network depends on p. The larger p the larger density of the network is needed. 

  • 2.
    Lamartine, André
    Dalarna University, School of Humanities and Media Studies, Moving Image Production. Dalarna University, School of Humanities and Media Studies, Cultural Studies. Dalarna University, School of Humanities and Media Studies, Media and Communication Studies.
    Att hitta hem igen: En studie i affektionens betydelse i berättelser, med utgångspunkt i det filmiska tv-spelet The Last of Us2013Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesis
    Abstract [sv]

    Uppsatsens syfte är att studera hur det filmiska tv-spelet The Last of Us (Naughty Dog, 2013) har designats för att framkalla emotionella responser med hjälp av en normalitetsmodell. Det går ut på att objektivt identifiera intensiva ögonblick som avbryter/förändrar ett normalitetsläge. Detta leder till fokus på tre huvudpunkter för att förstå helhetsdesignen: produktion av emotion i filmsekvenser, produktion av emotion i spelsekvenser och deras samspel. Spelsekvenser visar sig framkalla emotion när fiendekonfrontationer avbryter spelarens trygga utforskande och skapar spänning genom att utsätta spelare för risker under intensiva sammandrabbningar. Filmsekvenser i sin tur använder realistiskt animerade scener för att uppmärksamma ansiktens betydelse under emotionella scener, samt för att etablera protagonistens normalitetssträvanden och den emotionella risk den medför. Avslutningsvis utgör samspel mellan film- och spelsekvenser en balanserad tonöverföring mellan varandra genom att både överraska spelaren i övergångar och genom att förhålla spelarens beteende med protagonistens splittrade normalitetssträvanden.

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