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Institution

Yaşar University

EducationIzmir, Turkey
About: Yaşar University is a education organization based out in Izmir, Turkey. It is known for research contribution in the topics: Exergy & Job shop scheduling. The organization has 760 authors who have published 1436 publications receiving 20813 citations. The organization is also known as: Yaşar Üniversitesi.


Papers
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Journal ArticleDOI
31 Aug 2015
TL;DR: Kelimeler et al. as mentioned in this paper proposed an optimal sermaye yapisini ne sekilde olusturacaklari finans literaturunde cokca incelenmistir.
Abstract: Oz Modigliani ve Miller’dan (1958) sonra iflas maliyeti, temsilci maliyetleri, bilgi farkliliklari ve vergi konularina dayanarak firmalarin optimal sermaye yapisini ne sekilde olusturacaklari finans literaturunde cokca incelenmistir. Bu calismada da amac, 2008-2012 yillarinda Borsa Istanbul’da islem goren ve faaliyet konusu enerji olan firmalarin sermaye yapisina etki eden faktorleri incelemektir. Bu amacla finansal kaldiracin aciklayici degiskenleri olarak karlilik, teminat degeri, buyume, borc disi vergi kalkani, firmanin farkliligi ve bunlarin yaninda ortaklik yapisi ozelliklerinin etkisi panel regresyon yontemi ile incelenmistir. Calismanin sonuclarina gore en buyuk hissedar payi ve halka aciklik orani ile olculen ortaklik yapisinin finansal kaldirac uzerinde dikkate deger bir etkisi oldugu, bunun yaninda teminat degeri, borc disi vergi kalkani ve firma buyuklugunun borclari pozitif yonde etkilerken, firma farkliligi ve karlilik oraninin borclarin kullaniminda azalmaya neden oldugu gorulmustur. Anahtar Kelimeler: Sermaye Yapisi, Finansman Kararlari, Ortaklik Yapisi.

3 citations

Journal ArticleDOI
TL;DR: The most noticeable superiority of the developed NARMA controller over its linear counterpart, namely the adaptive auto-regressive moving average (ARMA) controller, is observed on the TRMS such that the NARma controller shows a good tracking performance not only for the simulated TRMS model but also the real TRMS.
Abstract: This study presents a nonlinear auto-regressive moving average (NARMA) based online learning controller algorithm providing adaptability, robustness and the closed loop system stability. Both the controller and the plant are identified by the proposed NARMA based input–output models of Wiener and Hammerstein types, respectively. In order to design the NARMA controller, not only the plant but also the closed loop system identification data are obtained from the controlled plant during the online supervised learning mode. The overall closed loop model parameters are determined in suitable parameter regions to provide Schur stability. The identification and controller parameters are calculated by minimizing the $$\varepsilon $$ -insensitive error functions. The proposed controller performances are not only tested on two simulated models such as the quadrotor and twin rotor MIMO system (TRMS) models but also applied to the real TRMS with having severe cross-coupling effect between pitch and yaw. The tracking error performances of the proposed controller are observed better compared to the conventional adaptive and proportional–integral–derivative controllers in terms of the mean squared error, integral squared error and integral absolute error. The most noticeable superiority of the developed NARMA controller over its linear counterpart, namely the adaptive auto-regressive moving average (ARMA) controller, is observed on the TRMS such that the NARMA controller shows a good tracking performance not only for the simulated TRMS model but also the real TRMS. On the other hand, it is seen that the adaptive ARMA is incapable of producing feasible control inputs for the real TRMS whereas it works well for the simulated TRMS model.

3 citations

Journal ArticleDOI
TL;DR: Pier Paolo Pasolini's essays provide, in films such as La Rabbia (The Rage, 1963) and Appunti per un’Orestiade africana (Notes towards an African Orestes, 1970) an interrogation on the experience of temporality and the ways in which it redefines notions of cultural memory and tradition.
Abstract: Pier Paolo Pasolini’s ventures into the essay film form provide, in films such as La Rabbia (The Rage, 1963) and Appunti per un’Orestiade africana (Notes towards an African Orestes, 1970), an interrogation on the experience of temporality and the ways in which it redefines notions of cultural memory and tradition. The aim of this article is to theorize, within Pasolini’s essayistic practice, a conception of temporality based on an expanded notion of writing, in the context of the essay film’s peculiar position in the history of film cultures. Looking at the ways in which tradition as intertexuality is constructed in La Rabbia and how cultural mediation is transformed into poetic necessity in Appunti per un’Orestiade africana, I argue that Pasolini’s essayistic films should be considered as reflections on the way in which we intellectually and historically experience time in our modern world.

3 citations

Proceedings ArticleDOI
15 Oct 2020
TL;DR: A system that automatically interprets the data of the utility meters by analyzing the photo of an analogue meter based on Convolutional Neural Networks, where the You Only Look Once (YOLO) and a LeNet as CNN models are compared.
Abstract: In this paper, we proposed a system that automatically interprets the data of the utility meters by analyzing the photo of an analogue meter. In addition, it sends the meter data to the consumers and the providers. We based the system on Convolutional Neural Networks (CNN), where we compared the You Only Look Once (YOLO) and a LeNet as CNN models. We collected the data for the training of each CNN model from the demonstration set of the project. Our results show that the YOLO model is reliable and fast. The model has a 99% accuracy for the gas meter and 98% accuracy for the water meter.

3 citations

Journal ArticleDOI
TL;DR: In this article, the discharge coefficient, contraction, and energy loss coefficients were determined through an implicit optimization technique on the data and an explicit best-fit regression equation was developed for defining the energy loss coefficient.

3 citations


Authors

Showing all 808 results

NameH-indexPapersCitations
Arif Hepbasli6736515612
Quan-Ke Pan6228112128
M. Fatih Tasgetiren281154506
Erinç Yeldan25802218
Kaizhou Gao24912225
Musa H. Asyali20541554
T. Hikmet Karakoc201111359
Ahmet Alkan20761854
Banu Yetkin Ekren19601751
Cuneyt Guzelis181191609
Bekir Karlik18431466
Murat Bengisu18471008
Yigit Kazancoglu171071082
Derya Güngör1630719
Mangey Ram161681149
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202321
202250
2021187
2020189
2019158
2018114