WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8653
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Conference Object Citation - WoS: 1Citation - Scopus: 1Design of Irregularly Shaped Patch Antennas by Using the Multiport Network Model(Ieee, 2008) Sener, Goker; Alatan, Lale; Kuzuoglu, MustafaConference Object Citation - WoS: 1Topic Distribution Constant Diameter Overlay Design Algorithm (td-Cd(Ieee, 2017) Oztoprak, Kasim; Dogdu, Erdogan; Layazali, SinaPublish/subscribe communication systems, where nodes subscribe to many different topics of interest, are becoming increasingly more common in application domains such as social networks, Internet of Things, etc. Designing overlay networks that connect the nodes subscribed to each distinct topic is hence a fundamental problem in these systems. For scalability and efficiency, it is important to keep the maximum node degree of the overlay in the publish/subscribe system low. Ideally one would like to be able not only to keep the maximum node degree of the overlay low, but also to ensure that the network has low diameter. We address this problem by presenting Topic Distribution Constant Diameter Overlay Design Algorithm (TD-CD-ODA) that achieves a minimal maximum node degree in a low-diameter setting. We have shown experimentally that the algorithm performs well in both targets in comparison to the other overlay design algorithms.Conference Object Citation - WoS: 1Citation - Scopus: 1Graph-Based Visualization of Stochastic Dominance in Statistical Comparisons(Ieee, 2019) Tokdemir, Gul; Hammoudi, Mohamad Mustafa; Ertek, GurdalIn this paper, a graph visualization scheme and methodology is proposed for representing, understanding, and interpreting the statistical comparison of means and the resulting stochastic dominance. The practicality and applicability of the visualization scheme and the methodology is illustrated through a case study, with data coming from higher education institutes in the United States of America (U.S.A.). The objective of the research is to make statistical results more accessible and readable, enabling the visual derivation of actionable insights.