Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Mehmet Gedikpinar"'
Autor:
Mehmet Gedikpinar
Publikováno v:
IEEE Access, Vol 7, Pp 186211-186216 (2019)
A Permanent Magnet Hysteresis Synchronous Motor (PMHSM) is designed and implemented in this paper. The designed motor is analyzed by using simulation and experimental studies. The torque, torque ripple, speed and flux density are also analyzed by usi
Externí odkaz:
https://doaj.org/article/158e72fa5ddf48f7943965de4ff98eb6
Publikováno v:
Turkish Journal of Science and Technology.
Modern industrial drives use induction motors (IM) due to their starting and running torque requirements and four-quadrant operation. The voltages and currents of each of the three phases as well as the acceleration and velocity signals may be used t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f280e8411d3a2af9a01947b5bb15797
https://doi.org/10.55525/tjst.1261887
https://doi.org/10.55525/tjst.1261887
Publikováno v:
Volume: 7, Issue: 3 294-299
Balkan Journal of Electrical and Computer Engineering
Balkan Journal of Electrical and Computer Engineering
A modulation process is required to transmit analog signals with higher quality. Modulation is the process of transporting the signal by another carrier signal. This study aims to process analog signals. Using 200 samples of each of the six types of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90b41141ac5c52187b5bd5b102300aa1
https://doi.org/10.17694/bajece.564960
https://doi.org/10.17694/bajece.564960
Publikováno v:
Optik. 180:46-55
The examination and classification of Electrocardiogram (ECG) records have become particularly significant for diagnosing heart diseases. Machine learning methods are widely used in classifying ECG signals. In this study, Physikalisch-Technische Bund
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a08914a633ebdacf4a83724be9ea97bf
https://doi.org/10.1016/j.ijleo.2018.11.065
https://doi.org/10.1016/j.ijleo.2018.11.065
Autor:
Ömür Atdogmus, Mehmet Gedikpinar
Publikováno v:
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 25:1657-1668
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af45c0d38ee4e194384d00d21f889ab3
https://doi.org/10.3906/elk-1603-198
https://doi.org/10.3906/elk-1603-198
Publikováno v:
Medical hypotheses. 136
Electrocardiogram (ECG) signals represent the electrical mobility of the human heart. In recent years, computer-aided systems have helped to cardiologists in the detection, classification and diagnosis of ECG. The aim of this paper is to optimize the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9eab54b2fdc5c5d185233fe6e7bd88f7
https://pubmed.ncbi.nlm.nih.gov/31855682
https://pubmed.ncbi.nlm.nih.gov/31855682
Publikováno v:
Volume: 7, Issue: 1 1-26
Turkish Journal of Educational Studies
Turkish Journal of Educational Studies
Bu araştırmada, Meslek Yüksekokulları Bilgisayar Teknolojileri Bölümünde öğrenim gören/mezun öğrencilerin bilişim becerileri yeterlilik düzeyi öğrenci ve sektör bağlamında değerlendirilmiştir. Araştırmanın evrenini; Bilgisayar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::047f0d8d08c24ece1150fa65d890e1d1
https://dergipark.org.tr/tr/pub/turkjes/issue/52288/599691
https://dergipark.org.tr/tr/pub/turkjes/issue/52288/599691
Publikováno v:
2018 International Conference on Artificial Intelligence and Data Processing (IDAP).
The increase in energy demand every passing day necessitates a shift towards alternative energy sources. Photovoltaic (PV) is one of the alternative energy methods. The efficiency of PV systems is significantly affected by environmental factors such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91238866f6019b2848f0a4ca3b11bd37
https://doi.org/10.1109/idap.2018.8620726
https://doi.org/10.1109/idap.2018.8620726
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319659596
This paper proposes a deep learning application for efficient classification of amyotrophic lateral sclerosis (ALS) and normal Electromyogram (EMG) signals. EMG signals are helpful in analyzing of the neuromuscular diseases like ALS. ALS is a well-kn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::895b0a5ee5b99f89dd2f5c87a074c4dc
https://doi.org/10.1007/978-3-319-65960-2_77
https://doi.org/10.1007/978-3-319-65960-2_77
Publikováno v:
SIU
Electrocardiogram (ECG) illustrates the electrical activity in the heart, and it is the most important physiological parameter that gives the correct assessment regarding the functioning of the heart. Accurate detection of R peaks in the ECG signal i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5516338b7666e149ceaebfad7bce24ef
https://doi.org/10.1109/siu.2017.7960235
https://doi.org/10.1109/siu.2017.7960235