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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
TL;DR: In this paper, Turkish security discourses connected to the meta-geography of the Broader Middle East and North Africa (BMENA) before and after the developments of the Arab Spring are analyzed.
Abstract: This article critically analyses Turkish security discourses connected to the meta-geography of the Broader Middle East and North Africa (BMENA) before and after the developments of the Arab Spring...

15 citations

Journal ArticleDOI
TL;DR: In this article, the authors explored which metrics are considered important in measuring marketing performance in Turkish firms and examined the effects of sectoral differences and market dynamism, and the relationship between the importance attached to metrics and firm performance.
Abstract: This study explores which metrics are considered important in measuring marketing performance in Turkish firms. In addition, the study examines the effects of sectoral differences and market dynamism, and the relationship between the importance attached to metrics and firm performance. The data collected from a sample of 145 Turkish firms via a structured questionnaire derived from the literature reveals that the most importance is attached to consumers’ attitudes metrics. Economic value added and customer lifetime value are the least important metrics in performance evaluation. No significant relationship occurs between the importance that executives attach to metrics and firm performance. Managerial implications and future research opportunities will be presented at the end. The study is, as far as is known, the first attempt at aiming to explore marketing metrics in Turkey, and one of a limited number of studies in emerging economies.

15 citations

Journal ArticleDOI
TL;DR: In this paper, an advanced exergoenvironmental analysis is applied to the system from the primary energy transformation to the environment to determine the environmental effects of a building heating system at various stages.

15 citations

Proceedings ArticleDOI
01 Oct 2014
TL;DR: A robust ECG feature extraction technique suitable for mobile devices is proposed by extracting only 200 samples between R-R intervals as equivalent R-T interval using Pan Tompkins algorithm at preprocessing stage.
Abstract: Electrocardiography (ECG) signal is a bioelectrical signal which depicts the cardiac activity of the heart. It is a technique used primarily as a diagnostic tool for various cardiac diseases. ECG provides necessary information on the electrophysiology and changes that may occur in the heart. Due to the increase in mortality rate associated with cardiac diseases worldwide despite recent technological advancement, early detection of these diseases is of paramount importance. This paper has proposed a robust ECG feature extraction technique suitable for mobile devices by extracting only 200 samples between R-R intervals as equivalent R-T interval using Pan Tompkins algorithm at preprocessing stage. The discrete wavelet transform (DWT) of R-T interval samples are calculated and the statistical parameters of wavelet coefficients such as mean, median, standard deviation, maximum, minimum, energy and entropy are used as a time-frequency domain feature. The proposed hybrid technique has been tested by classifying three ECG beats as normal, right bundle branch block (Rbbb) and paced beat using the signals from Massachusetts Institute of Technology Beth Israel Hospital (MIT-BIH) arrhythmia database and processed using Matlab 2013 environment. Classification has been performed using neural network backpropagation algorithm because of its simplicity. While equivalent R-T interval features gives average accuracy of 98.22%, the proposed hybrid method gives a promising result with average accuracy of 99.84% with reduced classifier computational complexity.

14 citations

Journal ArticleDOI
03 Jul 2018-Codesign
TL;DR: In this paper, the authors explore the ways of involving children with autism in participatory product design processes and find that due to the impaired skills of children with ASD, a key aspect of the proc...
Abstract: This study aims to explore the ways of involving children with autism in participatory product design processes. Due to the impaired skills of children with autism, a key aspect of the proc...

14 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