Now showing items 1-11 of 11

    • An Arduino UNO application: GPS guided unmanned ground vehicle 

      Bozik, Tugay; Gürkan, Güray (IEEE, 345 E 47Th St, New York, Ny 10017 USA, 2017)
      This paper presents an application of Arduino UNO to GPS guided unmanned vehicle. The four-wheeled small scale (55 cm x 25 cm) vehicle is capable of moving forward, rotating and consists of a GPS sensor, a magnetometer, a ...
    • Comparison of Face Recognition Algorithms 

      Günay, Melike; Ensari, Tolga (IEEE, 345 E 47Th St, New York, Ny 10017 USA, 2017)
      in this study, we analyze the algorithms that is used for face recognition and make performance comparison of two algorithms. The methods that is analyzed are k-nearest neighbors, Naive Bayes, eigenfaces, principle component ...
    • Data detection based iterative channel estimation for coded SM-OFDM systems 

      Acar, Yusuf; Leblebici, Mehmet Merih; Doğan, Hakan; Panayırcı, Erdal (IEEE, 345 E 47Th St, New York, Ny 10017 USA, 2016)
      The combination of spatial modulation (SM) and orthogonal frequency division multiplexing (OFDM) as SM-OFDM is a recently proposed efficient modulation scheme with exploiting the index of transmit antenna to convey information ...
    • Frequency estimation for monophonical music by using a modified VMD method 

      Öztürk Şimşek, Berrak; Akan, Aydın (IEEE, 345 E 47Th St, New York, Ny 10017 USA, 2017)
      In this paper, a new Variational Mode Decomposition (VMD) is introduced, and applied to the fundamental frequency estimation of monophonical Turkish maqam music. VMD is a method to decompose an input signal into an ensemble ...
    • Fundamental Frequency Estimation for Monophonical Turkish Music by using VMD 

      Öztürk Şimşek, Berrak; Akan, Aydın; Bozkurt, Barış (IEEE, 345 E 47Th St, New York, Ny 10017 USA, 2015-05-16)
      In this study, a new method is presented for the fundamental frequency estimation of Turkish makam music recordings by using Variational Mode Decomposition (VMD). VMD is a method to decompose an input signal into an ensemble ...
    • Image Reconstruction from Sparse Samples Using Directional Total Variation Minimization 

      Demircan Türeyen, Ezgi; Kamasak, Mustafa E.; Bayram, İlker (IEEE, 345 E 47Th St, New York, Ny 10017 USA, 2016)
      This paper considers reconstruction of missing pixels and formulates the problem under directional total variation (DTV) regularization. In order to devise an algorithm, forward-backward splitting method is used as a convex ...
    • Multi-document summarization for Turkish news 

      Demirci, Ferhat; Karabudak, Engin; İlgen, Bahar (IEEE, 345 E 47Th St, New York, Ny 10017 USA, 2017)
      In this paper, we introduce our multi-document summarization system for Turkish news. The aim of the summarization system is to build a single document for multi document news that have been collected previously. The news ...
    • Multi-tenant architectures in the cloud: a systematic mapping study 

      Karataş, Gözde; Can, Ferit; Doğan, Gamze; Konca, Cemile; Akbulut, Akhan (IEEE, 345 E 47Th St, New York, Ny 10017 USA, 2017)
      Unlike traditional web applications, cloud-based applications can provide services for large number of tenants using the same hardware and software by implementing multi-tenant architectures. 407 papers have been examined ...
    • Path-based Connectivity for Clustering Genome Sequences 

      Şengel, Öznur; Kurşun, Olcay (IEEE, 345 E 47Th St, New York, Ny 10017 USA, 2016)
      Clustering is an unsupervised data mining tool and in bioinformatics, clustering genome sequences is used to group related biological sequences when there is no additional supervision. Sequence clusters are often related ...
    • Spline Based Channel Estimation for STBC-SM Systems over Fast-Varying Rician Fading Channels 

      Acar, Yusuf; Doğan, Hakan; Panayırcı, Erdal (IEEE, 345 E 47Th St, New York, Ny 10017 USA, 2015-05-16)
      In the STBC-SM systems, the information is carried both by STBC symbols and indices of the transmit antennas from which these symbols are transmitted. Channel estimation is a critical process at the receiver during the ...
    • Virtual reality based rehabilitation system for Parkinson and multiple sclerosis patients 

      Kihe, Maria Merve; Muratlı, Ömer Can; Çatal, Çağatay (IEEE, 345 E 47Th St, New York, Ny 10017 USA, 2017)
      The aim of this study is to present a virtual reality based rehabilitation system for Parkinson and Multiple Sclerosis (MS) patients. In this study, physical rehabilitation software has been developed using Virtual Reality ...