Yazar "Cankurtaran, Halil Said" seçeneğine göre listele

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    An Acoustic Signal Based Language Independent Lip Synchronization Method and Its Implementation via Extended LPC
    (IEEE, 2020) Cankurtaran, Halil Said; Boyaci, Ali; Yarkan, Serhan
    Processing human speech with the use of digital technologies leads to several important fields of research. Speech-to-text and lip-syncing are among the instances of relevant prominent research areas. In this regard, audio-visualization of acoustic signals, providing visual aid in real-time for disabled people, and realization of text-free animation applications are just to name a few. Therefore, in this study, a language-independent lip-sync method that is based on extended linear predictive coding is proposed. The proposed method operates on baseband electrical signal that is acquired by a standard single-channel off-the-shelf microphone and exploits the statistical characteristics of acoustic signals produced by human speech. In addition, the proposed method is implemented on an embedded system, tested, and its performance is evaluated. Results are given along with discussions and future directions.
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    Propeller Effects on mmWave UAV Channels: A Statistical and Empirical Modeling Study
    (IEEE, 2022) Cankurtaran, Halil Said; Kachroo, Amit; Choi, Wooyeol; O'Hara, John; Yarkan, Serhan; Qaraqe, Khalid A.; Hasna, Mazen Omar; Ekin, Sabit
    In this study, a statistical analysis of the simplest drone-to-drone millimeter waves (mmWave) communication channel is presented along with the field measurement results. The statistical analysis reveals that propeller blade rotation for the simplest transmission scenario could be modeled with angle modulation accompanied with an on-off process whose characteristics are determined by several factors including blade shape and material, vibrating body due to propeller thrust, antenna position and its possible wobble. The results are presented along with discussion and future directions.
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    Statistical modeling of sand and dust storm attenuation
    (IEEE, 2022) Cankurtaran, Halil Said; Yarkan, Serhan; Hasna, Mazen Omar; Qaraqe, Khalid A.
    Propagation characteristics of electromagnetic (EM) waves such as amplitude, wavelength, and polarization can be altered by the medium that they travel. Such changes can decrease performance, and even lead to complete failures in communication networks. Hence, studies focusing on the propagation of EM waves under different atmospheric conditions such as rain, fog and snow have attracted researchers for decades. However, it is evident in both literature and standards that effects of sand and dust storms (SDS) on EM waves have not been understood well. Although proposed models consider randomness in the estimation of parameters, they end up with a deterministic solution without any uncertainty. However, uncertainty in the measurements makes the use of statistical models obligatory. In this study, a statistical model of attenuation is proposed solely based on frequency, and visibility. Moreover, in the proposed model, a region of uncertainty in estimations is provided by considering randomness in visibility measurements, whose characteristics are determined by the World Meteorological Organization and offthe-shelf measurement devices. Additionally, visibility and SDS statistics of Gulf area has been obtained by the analysis of NASA Hourly Global – Integrated Surface Database (ISD). Also, SDS attenuation is compared with rain and gaseous attenuation according to ITU recommendations.