Mathematics / Matematik

Permanent URI for this collectionhttps://hdl.handle.net/11147/8

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  • Conference Object
    Citation - Scopus: 1
    Hipokampüsün El ve Atlas Tabanlı Otomatik Bölütlenmesinin Hacimsel Olarak Karşılaştırılması
    (Institute of Electrical and Electronics Engineers Inc., 2009) Kutucu, Hakan; Eker, Çağdaş; Kitiş, Ömer; Gönül, Ali Saffet
    High-resolution Magnetic resonance imaging (MRI) is helpful in diagnosing diseases such as schizophrenia, alzheimer, dementia etc. Brain segmentation is an important preprocess in medical imaging applications. In this study we compare atlas based segmentation and manual segmentation of hippocampus for volumetric measures. A statistically difference was obtained between automatic and manual measurement. We conclude that contemporary techniques are not adequate to obtain sensitive data in some barin structures such as hippocampus core.
  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 1
    Enabling Cooperation, Resource Allocation and Receiver Selection Across Cells: Complementary Fractional Frequency Reuse
    (Institute of Electrical and Electronics Engineers Inc., 2013) Bakşi, Saygın; Kaya, Onur; Bıyıkoğlu, Türker
    For a multi-cell multiple access channel, we develop a comprehensive cooperative communication framework: we propose a novel complementary fractional frequency reuse (FFR) strategy tailored specifically for pairwise user cooperation, also taking into account cell sectoring. This strategy allows the cell edge users not only to pool their resources and cooperate across cells, but also to choose the best receiver. We divide the users into cooperating inner and outer user pairs, and assign each pair orthogonal resources using OFDMA. We employ pairwise bidirectional cooperation based on block Markov superposition encoding among user pairs. We derive the achievable rates, while taking into account the geometry dependent interference at the users and the receiver. We find the jointly optimal power allocation, partner selection and receiver selection strategies that maximize the sum rate of the system. We then propose a heuristic matching algorithm, which operates based only on user and receiver locations. We compare the performance of our proposed strategies with several non-cooperative models, and demonstrate that the sum rate can nearly be doubled, while using the same resources. © 2013 IEEE.
  • Conference Object
    Citation - Scopus: 7
    New Mathematical Model for Finding Minimum Vertex Cut Set
    (Institute of Electrical and Electronics Engineers Inc., 2012) Beşeri Sevim, Tina; Kutucu, Hakan; Berberler, Murat Erşen
    In this paper, we consider the vertex separator problem. Given an undirected graph G, the vertex separator problem consists in identifying a minimum number of vertex set whose removal disconnects G. We present a new mathematical model for solving this problem and also present computational results on graphs with various density. © 2012 IEEE.