07. Rektörlüğe Bağlı Birimler

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    Review
    Citation - WoS: 5
    Citation - Scopus: 5
    The Backstage of Twice-Exceptionality: a Systematic Review of the Movies
    (Routledge Journals, Taylor & Francis Ltd, 2022) Atmaca, Furkan; Yağbasanlar, Osman; Yıldız, Erol; Göncü, Ahmet; Baloğlu, Mustafa
    Twice-exceptional individuals (2e) are highly gifted/talented or creative but have a disability in at least in one developmental area. In order to reveal more about the condition we systematically reviewed movies that depict 2e individuals to reveal how they are portrayed. Eight movies were analyzed in depth. The selected movies were independently watched and encoded. As a result, a total of 54 codes were generated, which were combined under six themes, most themes having two categories (i.e., positive versus negative or strengths versus weaknesses). Despite being perceived more positively on the cognitive themes, they are portrayed mostly negatively on the socioemotional and behavioral themes. The movies conveyed significant messages about the educational lives and familial difficulties of these individuals.
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    Article
    Citation - WoS: 4
    Citation - Scopus: 4
    A Novel Adaptive Traffic Signal Control Based on Cloud/Fog Computing
    (Springer, 2022) Çeltek, Seyit Alperen; Durdu, Akif
    This paper proposes the Internet of Things-based real-time adaptive traffic signal control strategy. The proposed model consists of three-layer; edge computing layer, fog computing layer, and cloud computing layer. The edge computing layer provides real-time and local optimization. The middle layer, which is the fog computing layer, performs a real-time and global optimization process. The cloud computing layer, which is the top layer, acts as a control center and optimizes the parameters of the fog layer and the edge layer. The proposed strategy uses the Deep Q-Learning algorithm for the optimization process in all three layers. This study employs the SUMO traffic simulator for performance evaluation. These results are compared with the results of adaptive traffic control methods. The output of this study shows that the proposed model can reduce waiting times and travel times while increasing travel speed.