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Elektrik Elektronik Mühendisliği Bölümü

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Browsing Elektrik Elektronik Mühendisliği Bölümü by Journal "2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings"

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    Citation Count: Uzun, Engin; Aksoy, Tolga; Akagündüz, Erdem (2020). "Infrared Target Detection using Shallow CNNs", 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings, Gaziantep, 5 October 2020.
    Infrared Target Detection using Shallow CNNs
    (2020) Uzun, Engin; Aksoy, Tolga; Akagündüz, Erdem; 233834
    Convolutional Neural Networks can solve the target detection problem satisfactorily. However, the proposed solutions generally require deep networks and hence, are inefficient when it comes to utilising them on performance-limited systems. In this paper, we study the infrared target detection problem using a shallow network solution, accordingly its implementation on a performance limited system. Using a dataset comprising real and simulated infrared scenes; it is observed that, when trained with the correct training strategy, shallow networks can provide satisfactory performance, even with scale-invariance capability. © 2020 IEEE.
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    Citation Count: Baykal, Yahya; Ata, Yalçın; Gökçe, Muhsin C. (2020). "Laser array beam scintillation in oceanic turbulence", 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings, SIU 2020, Gaziantep.
    Laser array beam scintillation in oceanic turbulence
    (2020) Baykal, Yahya; Ata, Yalçın; Gökçe, Muhsin C.; 7812
    In this study, on-axis scintillation of laser array beam in oceanic turbulent medium is investigated. By using Rytov method, scintillation index variations are reported in connection with the propagation distance, rate of dissipation of turbulent kinetic energy, microscale length, rate of dissipation of the mean squared temperature, salinity ratio, radius of the ring of beamlets which compose the beam array, source size and number of beamlets. Results show that turbulence effect on the laser beam increases with the propagation distance, microscale length, rate of dissipation of the mean squared temperature, salinity ratio, array radius, source size and number of beamlets but decreases when rate of dissipation of turbulent kinetic energy increases. © 2020 IEEE.
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    Citation Count: Çıkış, Melis; Tileyoglu, Salih; Akagunduz, Erdem (2020). "Representing Earthquake Accelerogram Records for CNN Utilization", 28th Signal Processing and Communications Applications Conference, SIU 2020Gaziantep5 October 2020through 7 October 2020.
    Representing Earthquake Accelerogram Records for CNN Utilization
    (2020) Çıkış, Melis; Tileyoglu, Salih; Akagunduz, Erdem
    In this study, a spectrogram based false color representation of earthquake accelergrams is proposed and its usability for both human investigation and its application in convolutional networks are discussed. By using more than forty two thousand earthquake records open to the public, an epicenter clustering algorithm was employed, and it was observed that earthquakes in similar clusters produce similar representations. The prospective purpose of the proposed representation is to estimate the epicenter of an earthquake by processing the accelerograms recorded in a single station using convolutional networks.