Doruk, Reşat Özgür

Profile Picture
Profile URL
https://hdl.handle.net/20.500.14411/6826
Name Variants
R.Ö.Doruk
Reşat Özgür Doruk
D.,Resat Ozgur
R. Ö. Doruk
R., Doruk
Doruk, Resat Ozgur
Doruk,R.O.
R.,Doruk
Doruk R.
D.,Reşat Özgür
özgür Doruk R.
Reşat Özgür, Doruk
R. O. Doruk
Özgür Doruk R.
R.O.Doruk
Doruk,R.Ö.
D., Reşat Özgür
D., Resat Ozgur
Resat Ozgur, Doruk
Doruk,Resat Ozgur
Doruk, Reşat Özgür
Doruk, R. Ozgur
Job Title
Profesör Doktor
Email Address
resat.doruk@atilim.edu.tr
Main Affiliation
Electrical-Electronics Engineering
Status
Website
ORCID ID
0000-0002-9217-0845
Scopus Author ID
8503734100
Turkish CoHE Profile ID
Google Scholar ID
-0-QDnwAAAAJ
WoS Researcher ID
T-9951-2018

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
Research Products
GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
Research Products
QUALITY EDUCATION4
QUALITY EDUCATION
0
Research Products
GENDER EQUALITY5
GENDER EQUALITY
0
Research Products
CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
Research Products
AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
2
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
0
Research Products
REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
Research Products
SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
0
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
Research Products
CLIMATE ACTION13
CLIMATE ACTION
1
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
0
Research Products
LIFE ON LAND15
LIFE ON LAND
0
Research Products
PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
Documents

26

Citations

130

h-index

8

Go to Scopus profile
Documents

21

Citations

88

Go to WoS profile
Scholarly Output

37

Articles

19

Views / Downloads

86/259

Supervised MSc Theses

11

Supervised PhD Theses

7

WoS Citation Count

52

Scopus Citation Count

66

Patents

0

Projects

0

WoS Citations per Publication

1.41

Scopus Citations per Publication

1.78

Open Access Source

14

Supervised Theses

18

JournalCount
Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi3
Journal of Biological Physics2
Computer Methods and Programs in Biomedicine2
Turkish Journal of Electrical Engineering and Computer Sciences2
Frontiers in Neural Circuits1
Current Page: 1 / 3

Scopus Quartile Distribution

Competency Cloud

GCRIS Competency Cloud

Filters

20182
Reset filters

Settings

Author: Doruk, OzgurHas files: false

Scholarly Output Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Article
    Citation - WoS: 1
    Citation - Scopus: 1
    Bozucu Torklar Altında İzdüşümsel Doğru Akım Motoru Kontrolü
    (Gazi Univ, Fac Engineering Architecture, 2018) Doruk, Reşat Özgür; Zuglam, İsmail; Doruk, Ozgur
    Bu çalışmada, izdüşümsel doğrusal kareselservo geri beslemesi (P-LQSF) yöntemiyle tasarlanmış bir birdoğru akım (DC) motoru denetim yaklaşımı sunulmaktadır. Tasarlanan denetleyicinin kararlılığı girdidenhale-kararlılıkyaklaşımından yola çıkarak incelenmektedir. İzdüşümsel kontrol yöntemi, tam durumdeğişkeni geri beslemeli bir denetleyicinin özdeğer spektrumunu çıktı geri beslemesi kullanarak yaklaşıkolarak elde etmeyi amaçlar. Tasarlanan denetleyicilerin kararlılık analizi hem teorik hem de sayısalbenzetim yoluyla incelenecektir. Temel doğrusal kararlılığın yanı sıra, bozucu etkilerin kapalı döngüyü birdış girdi olarak etkilemesinden yola çıkarak girdiden-çıktıya-kararlılık kavramından yararlanılması olanaklıolabilmektedir. Sonuç olarak bir bozucu etkiden-hale-kararlılık yaklaşımı ortaya çıkmaktadır. Tasarımlar,elde edilen bu yaklaşımla incelenecektir. Performanslar ise sayısal benzetimler yoluyla görülecektir.
  • Thumbnail Image
    Article
    Neuron Modeling: Estimating the Parameters of a Neuron Model From Neural Spiking Data
    (Tubitak Scientific & Technological Research Council Turkey, 2018) Doruk, Resat Ozgur; Doruk, Ozgur
    We present a modeling study aiming at the estimation of the parameters of a single neuron model from neural spiking data. The model receives a stimulus as input and provides the firing rate of the neuron as output. The neural spiking data will be obtained from point process simulation. The resultant data will be used in parameter estimation based on the inhomogeneous Poisson maximum likelihood method. The model will be stimulated by various forms of stimuli, which are modeled by a Fourier series (FS), exponential functions, and radial basis functions (RBFs). Tabulated results presenting cases with different sample sizes (# of repeated trials), stimulus component sizes (FS and RBF), amplitudes, and frequency ranges (FS) will be presented to validate the approach and provide a means of comparison. The results showed that regardless of the stimulus type, the most effective parameter on the estimation performance appears to be the sample size. In addition, the lowest variance of the estimates is obtained when a Fourier series stimulus is applied in the estimation.