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Toplam kayıt 21, listelenen: 11-20
LabVIEW FPGA Based BLDC Motor Control by Using Field Oriented Control Algorithm
(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. ...
Comparative Realistic Objectives Oriented Optimization Framework for EV Charging Scheduling in a Distribution System
(Institute of Electrical and Electronics Engineers Inc., 2022)
The integration of large-scale electric vehicles (EVs)
into the distribution system has emerged as a critical topic of
research with the proliferation of EVs over the years. To mitigate
the negative effects of EVs on ...
5.Nesil Haberleşme Sistemleri İçin Metamalzeme Tabanlı MIMO Anten Tasarımı
(IEEE, 2021)
Bu çalışmada; 5. nesil haberleşme sistemleri için 28
GHz frekans bandında, metamalzeme tabanlı, 4 portlu MIMO
anten tasarlanmıştır. İlk olarak, 50 Ω empedans değerine sahip
mikroşerit besleme hattının tek tarafına ...
Mikroşerit Yama Antenlerde Frekans Seçici Yüzeyler (FSY) Kullanılarak Empedans Uyumlandırma
(IEEE, 2022)
Mikroşerit yama antenlerde; besleme hattı ile anten
arasında empedans uyumunun iyileştirilmesi, yansıma verimini
artırmaktadır. Literatürde bulunan empedans uyumlandırma
teknikleri, anten geometrisine ve besleme tipine ...
Performance Evaluation of Low-Precision Quantized LeNet and ConvNet Neural Networks
(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. ...
Hardware Acceleration of FIR Filter Implementation on ZYNQ SoC
(IEEE, 2022)
Finite impulse response (FIR) filters are widely used
in electronic design applications such as digital signal processing,
image processing and digital communications. The demand for
high performance is increasing ...
Real-Time Hardware Acceleration of Low Precision Quantized Custom Neural Network Model on ZYNQ SoC
(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 ...
Scheduling of Mobile Charging Stations for Fair Electric Vehicle Charging
(IEEE, 2023)
The escalating demand for electric vehicles
(EVs) has underscored the necessity for devising and
implementing innovative EV charging techniques, rendering it
a pressing concern. In this investigation, we put forward ...
Energy Management Strategy for a Microgrid Including All-in-One Electric Vehicle Station, Renewable Energy and Demand Response
(IEEE, 2023)
Energy consumption in residential areas and
transportation sector constitutes an important part of the global
energy demand. Moreover, a large part of these energy demands
is met from fossil resources. Recently, microgrid ...
Performance Evaluation of Real-Time Video Processing Edge Detection on Various Platforms
(IEEE, 2023)
As real-time video processing applications grow in
complexity, they demand higher performance. Achieving such
a performance must involve a delicate balance between design
constraints and optimization of performance ...