Bilgisayar Mühendisliği Bölümü Yayın Koleksiyonu: Recent submissions

  • About nanometer sized analogues of basic electronic and optical components 
    Quandt, Alexander; Özdoğan, Cem; Ferrari, Maurizio; Speranza, Giorgio (IEEE, 2008)
    We discuss a downsizing of optical components into the nanometer range. It presupposes the substitution of photons by ballistic electrons, but it also requires a simple and robust concept to assemble the analogues of basic ...
  • Neuronavigation Skill Training Through Simulation: Insights From Eye Data 
    Çağıltay, Nergiz; Topallı, Damla; Börcek, Alp Özgün; Tokdemir, Gül; Maraş, Hadi Hakan; Tombul, Gökçen; Aydın, Elif (Iated-Int Assoc Technology Education A& Development, 2016)
    Neuronavigation systems are developed to support the brain surgery operations. Because of its complex anatomical structure, the neurosurgery is a risky and critical operation. The surgeon is required to perform the operation ...
  • Software Engineering Education and Games: A Systematic Literature Review 
    Koşa, Mehmet; Yılmaz, Murat; O'Connor, Rory V.; Clarke, Paul M. (Graz Univ Technolgoy, 2016)
    The trend in using games in elementary level education also spreads through higher education levels and specific domains such as engineering. Recently, researchers have shown an increased interest in the usage of games in ...
  • Functionalizing graphene by embedded boron clusters 
    Quandt, Alexander; Özdoğan, Cem; Kunstmann, Jens; Fehske, Holger (IOP Publishing LTD, 2008-08-20)
    We present a model system that might serve as a blueprint for the controlled layout of graphene based nanodevices. The systems consists of chains of B-7 clusters implanted in a graphene matrix, where the boron clusters are ...
  • Automatic Coastline Detection Using Image Enhancement and Segmentation Algorithms 
    Maraş, Erdem Emin; Canıberk, Mustafa; Maraş, Hadi Hakan (Hard, 2016)
    Coastlines have hosted numerous civilizations since the earliest times of mankind due to the advantages they offer such as natural resources, transportation, arable areas, seafood, trade, and biodiversity. Coastal regions ...
  • Analysis of Neurooncological Data to Predict Success of operation Through Classification 
    Bagherzadi, Negin; Börcek, Alp Özgün; Tokdemir, Gül; Çağıltay, Nergiz; Maraş, H. Hakan (2016)
    Data mining algorithms have been applied in various fields of medicine to get insights about diagnosis and treatment of certain diseases. This gives rise to more research on personalized medicine as patient data can be ...
  • Multiple description coding for SNR scalable video transmission over unreliable networks 
    Choupani, Roya; Wong, Stephan; Tolun, Mehmet R. (Springer, 2014-04)
    Streaming multimedia data on best-effort networks such as the Internet requires measures against bandwidth fluctuations and frame loss. Multiple Description Coding (MDC) methods are used to overcome the jitter and delay ...
  • Induction for radiology patients 
    Yıldırım, Pınar; Tolun, Mehmet R. (Springer, 2009)
    This paper represents the implementation of an inductive learning algorithm for patients of Radiology Department in Hacettepe University hospitals to discover the relationship between patient demo-graphics information and ...
  • Choosing parameters to achieve a higher success rate for hellman time memory trade off attack 
    Saran, Nurdan; Doğanaksoy, Ali (IEEE, 2009)
    In 1980, Hellman proposed the Time Memory Trade Off (TWTO) attack and applied it on block cipher DES (Data Encryption Standard). Time Memory Trade Off attack is one of the methods that inverts a one way function. The ...
  • A drift-reduced scheme for hierarchical wavelet coding scalable video transmissions 
    Choupani, Roya; Wong, Stephan; Tolun, Mehmet R. (IEEE, 2009)
    Scalable video coding allows for the capability of (partially) decoding a video bitstream when faced with communication deficiencies such as low handwidth or loss of data resulting in lower video quality. As the encoding ...
  • What We Know And What We Do Not Know About DMN 
    Figl, Kathrin; Mendling, Jan; Tokdemir, Gül; Vanthienen, Jan (German Informatics SOC-GI, 2018)
    The recent Decision Model and Notation (DMN) establishes business decisions as first-class citizens of executable business processes. This research note has two objectives: first, to describe DMN's technical and theoretical ...
  • Efficiency evaluation of the averaging noise reduction system 
    Kondakçı, Süleyman (IEEE, 2001)
    This paper presents the development of a method for estimation of denoising performance performed by an averaging algorithm presented in an earlier work Ill. The method was designed to evaluate statistical results when the ...
  • An approach to noise reduction in human skin admittance measurements 
    Kondakçı, Süleyman (IEEE, 2001)
    This paper presents the development of a signal averaging algorithm for recovering excitation responses contaminated by overwhelming amount of various types of interference in skin admittance measurements. The algorithm ...
  • Reactions of small Ni clusters with a diatomic molecule: MD simulation of D(2)+Ni(n) (n=7-10) systems 
    Durmuş, Perihan; Böyükata, Mustafa; Özçelik, Süleyman; Güvenç, Ziya B.; Jellinek, Julius (2000-05-20)
    The kinetics of the reactions of nickel clusters with a deuterium molecule are studied, Dissociative chemisorption probabilities of the D(2) molecule on the small Ni(n) (n=7-10) clusters are computed by a quasi-classical ...
  • Sputtering yield and dynamical analysis of Ni(100) surface: A comparison of four different Ar-surface interaction potentials 
    Güvenç, Ziya B.; Hundur, Yakup; Hippler, Rainer (2000-04)
    The sputtering process of the Ar + Ni(100) collision system is investigated by means of constant energy molecular dynamics simulations. The Ni(100) is mimicked by an embedded-atom potential, and the interaction between the ...
  • SpEnD portal: linked data discovery using SPARQL endpoints 
    Yumuşak, Semih; Aras, Rıza Emre; Uysal, Elif; Doğdu, Erdoğan; Kodaz, Halife; Öztoprak, Kasım (IEEE, 2017)
    We present the project SpEnD, a complete SPARQL endpoint discovery and analysis portal. In a previous study, the SPARQL endpoint discovery and analysis steps of the SpEnD system were explained in detail. In the SpEnD portal, ...
  • Weather data analysis and sensor fault detection using an extended ıot framework with semantics, big data, and machine learning 
    Önal, Aras Can Sezer, Ömer Berat; Doğdu, Erdoğan; Özbayoğlu, Murat; Önal, Aras Can (IEEE, 2017)
    In recent years, big data and Internet of Things (IoT) implementations started getting more attention. Researchers focused on developing big data analytics solutions using machine learning models. Machine learning is a ...
  • Adoption of e-government services in Turkey 
    Kurfalı, Murathan; Arifoğlu, Ali; Tokdemir, Gül; Paçin, Yudum (Pergamon-Elsevier Science LTD, 2017-01)
    This research aims to investigate underlying factors that play role in citizens' decision to use e-government services in Turkey. UTAUT model which was enriched by introducing Trust of internet and Trust of government ...
  • Simulation-based environments for surgical practice 
    Dalveren, Gonca Gökçe Menekşe; Çağıltay, Nergiz Ercil; Özçelik, Erol; Maraş, H. Hakan (IEEE, 2017)
    Modeling and simulation environments provide several insights about the real situations such as endoscopic surgery. Endoscopic surgery requires both hand skills, so, understanding the effect of using dominant or non dominant ...
  • New knowledge in strategic management through visually mining semantic networks 
    Ertek, Gürdal; Tokdemir, Gül; Sevinç, Mete; Tunç, Murat Mustafa (Springer, 2017-02)
    Today's highly competitive business world requires that managers be able to make fast and accurate strategic decisions, as well as learn to adapt to new strategic challenges. This necessity calls for a deep experience and ...