Výsledky vyhledávání - "Aydin Kizilkaya"

Investigation of the Removal of Siloxane Compounds in Biogas by Adsorption Method

Autor: AYDIN KIZILKAYA, Yağmur Meltem, UYAK, Vedat

Publikováno v: Volume: 1, Issue: 2 25-40
Sürdürülebilir Çevre Dergisi

Küresel ısınmanın gündemde olduğu bu dönemde alternatif enerji kaynaklarına olan eğilim gün geçtikçe artmaktadır. Biyogaz, enerji gereksiniminin sağlanması noktasında en etkili teknolojilerden biri olarak görülmektedir. Söz konusu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=tubitakulakb::d7f7d1a61b3659aeb1da27365f29761a
https://dergipark.org.tr/tr/pub/cevder/issue/67695/895270

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Fault diagnosis of oil-immersed power transformers using common vector approach

Autor: Aydin Kizilkaya, Ali Kirkbas, Selim Koroglu, Akif Demircali

This paper considers the problem of classifying power transformer faults in the incipient stage by using dissolved gas analysis (DGA) data. To solve this problem with high accuracy, we propose to use the common vector approach (CVA) that is a success

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61f527de95bf684fd5690404332ddc5e
https://doi.org/10.1016/j.epsr.2020.106346

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Akademický článek

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A novel method for computing single output for DEA with application in hospital efficiency

Autor: M. Dogan Elbi, Aydin Kizilkaya, M. Ensar Yeşilyurt, Filiz Akbaş-Yeşilyurt, M. Ulaş Koyuncuoğlu, Emre Şahin

Publikováno v: Socio-Economic Planning Sciences. 76:100995

There are two main methods for measuring the efficiency of decision-making units (DMUs): data envelopment analysis (DEA) and stochastic frontier analysis (SFA). Each of these methods has advantages and disadvantages. DEA is more popular in the litera

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e636e06f1cdd3d1ab27889c49c2c7422
https://doi.org/10.1016/j.seps.2020.100995

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Statistical Multirate High-Resolution Signal Reconstruction Using the EMD-IT Based Denoising Approach

Autor: Mehmet Dogan Elbi, Adem Ukte, Aydin Kizilkaya

Publikováno v: Radioengineering, Vol 24, Iss 1, Pp 226-232 (2015)
Radioengineering. 2015 vol. 24, č. 1, s. 226-232. ISSN 1210-2512

The reconstruction problem of a high-resolution (HR) signal from a set of its noise-corrupted low-resolu- tion (LR) versions is considered. As a part of this problem, a hybrid method that consists of four operation units is proposed. The first unit a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52ba25dcab4fb8ff512e630ac38a2957
http://www.radioeng.cz/fulltexts/2015/15_01_0226_0232.pdf

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Optimal basis pursuit based on jaya optimization for adaptive fourier decomposition

Autor: Ali Kirkbas, Aydin Kizilkaya, Esref Bogar

Publikováno v: TSP

The Adaptive Fourier Decomposition (AFD) is a novel signal decomposition algorithm that can describe an analytical signal through a linear combination of adaptive basis functions. At every decomposition step of the AFD, the basis function is determin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::abbbfde9993f9576fdb7f51fa634dad1
https://doi.org/10.1109/tsp.2017.8076045

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Optimal signal reconstruction based on time-varying weighted empirical mode decomposition

Autor: Aydin Kizilkaya, Mehmet Dogan Elbi

Optimal signal reconstruction via the EMD-based framework is addressed.A new algorithm, termed, time-varying weighted EMD (TVW-EMD) is proposed.A formulation of reconstructing original signal through the EMD followed by time-varying weightings of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acd21a2c0558c3a73c3faece30810dc4
http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/9210

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Signal Denoising Based on Adaptive Fourier Decomposition

Autor: Aydin Kizilkaya, Esref Bogar, Ali Kirkbas

Publikováno v: SPA

Signal denoising based on the adaptive Fourier decomposition (AFD) is investigated and an approach, termed Jaya-based AFD combined with Savitzky-Golay filter, is offered to reconstruct the original signal under white Gaussian noise (WGN). Using the A

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::761c8794ec96a7c1147c26eefa1b78a7
http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/16056

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Akademický článek

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Comparing the performances of least mean squares based multirate adaptive filters

Autor: Aydin Kizilkaya, Adem Ukte

Publikováno v: 2016 26th International Conference Radioelektronika (RADIOELEKTRONIKA).

In this study, sign-error, sign-data, and sign-sign modifications of the multirate least mean squares (LMS) filter are proposed as an alternative to the existing multirate LMS and normalized LMS filters for reconstructing the high rate desired signal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bd63423ccce16f11fc0906d29b186600
https://doi.org/10.1109/radioelek.2016.7477383

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