Browsing by Author "Tatar, Güner"
Now showing items 1-8 of 8
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FPGA Based Bluetooth Controlled Land Vehicle
Tatar, Güner; Bayar, Salih (Institute of Electrical and Electronics Engineers (IEEE), 2018)This paper represents the utilization of Field Programmable Gate Arrays (FPGA) chip for Bluetooth controlled land vehicle. Bluetooth controlled land vehicle is developed utilizing VHDL and acknowledged in Basys-3 FPGA ... -
FPGA Based Fault Distance Detection and Positioning of Underground Energy Cable by Using GSM/GPRS
Tatar, Güner; Kılıç, Osman; Bayar, Salih (Institute of Electrical and Electronics Engineers (IEEE), 2019)This paper proposes the usage of Field Programmable Gate Arrays (FPGA) for fault distance detection and positioning of an underground cable by using GSM/GPRS. This task was produced using Very High Speed Integrated ... -
FPGA Based Step Motor Control for Solar Panels
Tatar, Güner; Bayar, Salih; Alkan, Muhammet (Institute of Electrical and Electronics Engineers (IEEE), 2019)This work demonstrates the application and operation principle of a stepper motor to enable the rotation of solar panels using an FPGA-based Basys3 circuit board coded with the Very High Speed Integrated Circuit Hardware ... -
FPGA Design of a Fourth Order Elliptic IIR Band-Pass Filter Using LabVIEW
Tatar, Güner; Çiçek, İhsan; Bayar, Salih (Osman Sağdıç, 2021)Infinite impulse response filters are often used to meet the demand of modern electrical engineering applications such as image processing, digital signal processing and telecommunications because of the high selectivity ... -
LabVIEW FPGA Based BLDC Motor Control by Using Field Oriented Control Algorithm
Tatar, Güner; Korkmaz, Hayriye; Toker, Kenan; Serteller, N. Füsun Oyman (IEEE, 2020)BLDC (Brushless Direct Current) motors are widely used today due to its high reliability and high efficiency. These motors are synchronous motors that have a linear relationship between voltage-speed and current-torque. ... -
Performance Evaluation of Low-Precision Quantized LeNet and ConvNet Neural Networks
Tatar, Güner; Bayar, Salih; Çiçek, İhsan (IEEE, 2022)Low-precision neural network models are crucial for reducing the memory footprint and computational density. However, existing methods must have an average of 32-bit floatingpoint (FP32) arithmetic to maintain the accuracy. ... -
Real-Time Hardware Acceleration of Low Precision Quantized Custom Neural Network Model on ZYNQ SoC
Erenoğlu, Ayşe Kübra; Tatar, Güner (IEEE, 2023)Achieving a lower memory footprint and reduced computational density in neural network models requires the use of low-precision models. However, existing techniques typically rely on floating-point arithmetic to preserve ... -
Real-Time Multi-Task ADAS Implementation on Reconfigurable Heterogeneous MPSoC Architecture
Tatar, Güner; Bayar, Salih (IEEE, 2023)The rapid adoption of Advanced Driver Assistance Systems (ADAS) in modern vehicles, aiming to elevate driving safety and experience, necessitates the real-time processing of high-definition video data. This requirement ...
