Yazar "Canbek, K.O." seçeneğine göre listele
Listeleniyor 1 - 4 / 4
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe Automated Student Attendance System Using Face Recognition(Institute of Electrical and Electronics Engineers Inc., 2020) Akay, E.O.; Canbek, K.O.; Oniz, Y.In this study, an automated attendance taking system is developed and implemented. Two different face detection algorithms, namely Histogram of Oriented Gradients and Haar-Cascade algorithms, are applied and their performances are compared. Deep learning based on convolutional neural networks (CNNs) is employed for the identification of the students in the classroom. Furthermore, a mask checking feature is also included as a measure against the Covid-19 pandemic. A graphical user interface (GUI) system is designed using Python. © 2020 IEEE.Öğe Development and Characterization of a Wearable Ring Providing Haptic Feedback(Institute of Electrical and Electronics Engineers Inc., 2022) Mayo, F.P.L.P.; Canbek, K.O.; Ayyildiz, M.Comfort and efficiency are the essential features of any wearable device. A variety of devices use vibration to provide haptic feedback to the user. In this study, a novel haptic flexible ring equipped with four actuators is developed to enhance the user experience for tactile interfaces. The proposed device provides subcutaneous clues at the proximal interphalangeal joint of the index finger to mimic the forces and moments applied to this joint. Thresholding experiments are conducted using a total of nine subjects to evaluate the effects of the vibration amplitude, thickness, and orientation of 1D lines on human perception. The results showed that as the line's thickness and amplitude increase, the participants perform better at identifying the shapes. The minimum thickness that the human participants can detect is 2 mm at the lowest possible vibration level with a single motor. Furthermore, the second vibration amplitude and vertical orientation lead to higher recognition rates and lower recognition times. In the future, we aim to perform further characterization experiments and develop virtual reality applications to test the proposed ring. © 2022 IEEE.Öğe Target Search and Tracking with an Autonomous Quadcopter using Type-2 Fuzzy Logic Controller(Institute of Electrical and Electronics Engineers Inc., 2022) Abdelmoaty, O.K.H.; Canbek, K.O.; Oniz, Y.In this study, an interval type-2 fuzzy logic controller has been proposed for the target search and tracking mission of an unmanned aerial vehicle. The visual data coming from the onboard camera sensor of the quadcopter have been processed to provide visual feedback from the environment and to detect the target. In the given mission, the quadcopter first performed a systematic search over the area until the target has been detected, and then proceeded with the tracking of the target. The ROS/Gazebo platform has been used to test the performance of the proposed control scheme. A fuzzy type-1 controller has been also developed to assess the performance of the type-2 controller. The results of the simulations indicate that type-2 fuzzy logic controller can provide better steady state and transient characteristics compared to its type-1 counterpart. © 2022 IEEE.Öğe Trajectory Tracking of a Quadcopter Using Fuzzy-PD Controller(Institute of Electrical and Electronics Engineers Inc., 2021) Canbek, K.O.; Oniz, Y.In this work, the trajectory tracking control of an unmanned aerial vehicle (UAV) has been accomplished using an adaptive proportional-derivative (PD) controller, in which fuzzy logic controllers have been utilized to determine the controller gain values resulting in better transient and steady-state characteristics. The real-time flight tests have been carried out on AR.Drone 2.0 for two different reference trajectories. The drone's discrepancies from these trajectories along with their derivatives have been employed as the input signals to the proposed control scheme. To provide means for comparison, a conventional PD controller has been also implemented. The obtained results from the real-time experiments indicate that the adaptation of the PD gains can give rise to smaller overshoot, shorter settling time, and less deviation from the target trajectory. © 2021 Chamber of Turkish Electrical Engineers.