Meslek Yüksek Okulu

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Başkanlık Sistemi Eleştirisi: Karl Marx’ın Mirası
(2019) Kılıç, İlker; 43431; 04.01. Hukuk; 04. Hukuk Fakültesi; 01. Çankaya Üniversitesi
Citation - WoS: 10
Citation - Scopus: 16
The Causal Relationship Between Foreign Debt and Economic Growth: Evidence From Commonwealth Independent States
(Sage Publications india Pvt Ltd, 2021) Yasar, Nermin; 230528; 03.06. Uluslararası Ticaret ve Finansman; 03. İktisadi ve İdari Birimler Fakültesi; 01. Çankaya Üniversitesi
This study investigates the relationship between external borrowing and eco-nomic growth in the Commonwealth Independent States during the period 1995-2018. Autoregressive distributed lag (ARDL) model is employed to determine the co-integration relationship among the series and then vector error correction model (VECM) is used to analyse the causality between external debt and income.The obtained results suggest that there is a negative long-term unidirectional causal relationship running from external debt to GDP presenting a strong evidence of existence of debt overhang hypothesis.The possible reasons for this unidirectional causal relationship can be explained by poor management of provided financial resources and incomplete governance in economic transition process along with structural rigidities and immature institutions in these countries which, in the long term, resulted in insufficient capital charged to service external debt.The policymakers in these post-Soviet countries should not use foreign loans to capitalise the deficits in the economies; instead, they should be more determined in employing these funds in the areas that will create national value-added production and, thus, future income.
CBS Tabanlı Suç Analizi Yöntemleri
(2013) Özçetin, M.; Maraş, Hadi Hakan; 34410; 06.01. Bilgisayar Mühendisliği; 06. Mühendislik Fakültesi; 01. Çankaya Üniversitesi
Coğrafi Bilgi Sistemleri (CBS) günlük hayatımızda önemi sürekli olarak artan uygulamalara sahiptir. CBS’nin popüler ve kritik uygulama alanlarından biri de mekânsal suç analizidir. Günümüzde suç oranları artış göstermekte ve bu yüzden suç eğilimlerini analiz etmek ve suçu önleyici tedbirler almak büyük önem arz etmektedir. Suçlar çoğu zaman mekânsal ve zamansal modeller göstermektedir. Örneğin, bazı suç türleri bazı lokasyonlarda nispeten yüksek oranlarda işlenebilmektedir. Bazıları ise gün içinde belli saat aralıklarında yüksek oranlarda olabilmektedir. Klasik suç analiz yöntemlerine coğrafi destek eklemek, tablosal veya istatistiksel metotların sunamayacağı son derece önemli ve müstesna faydalar sağlayabilir. Örneğin, belli bir suç türünün mekânsal dağılımını görmek veya farklı suç türlerinin lokasyonlarını harita üzerinde karşılaştırmak, karar verme pozisyonundaki yöneticilere kritik ve önemli ipuçları verebilir. Bu yüzden, suç analiz yöntemlerine mekânsal boyut katmak emniyet birimlerindeki çalışmalara önemli bir destek sağlamaktadır
Comparative Analysis of Early Studies on Turkish Whistle Language and a Case Study on Test Conditions
(2018) Özaydın, Selma; 253019; 08.02. Çankaya Meslek Yüksekokulu; 08. Meslek Yüksekokulları; 01. Çankaya Üniversitesi
This paper examines the early studies on Turkish Whistle Language and it argues that they have some controversial results. The study considers these issues need to be discussed and searched again in terms of linguistic and phonetic form. Unfortunately, there are few research studies on Turkish whistle language and most of them were performed nearly fifty years ago despite the fact that this language still has been used in Kuskoy region. Therefore, the findings of these early research studies could give valuable information to start to a new research study on the subject. The first scientific study on Turkish Whistle language was performed by a French scientist R.G. Busnel with his multidisciplinary research team in 1967. Some of this research’s results were published in the book. A Turkish scientist O. Baskan also participated in Busnel’s research group and published a paper on TWsL in 1968. However, some assertions such as people having a tendency to understand the Turkish whistle language with three vowels and three consonants have not been in the research results of R.G. Busnel. In addition, a Turkish scientist D. Aksan in Turkey had performed another research at Kuskoy region with his own team. Their test methods were different from the previous ones. This paper analyzes these research results on a comparative basis and presents the common and conflicted issues to discuss the uncertain points. The comparative evaluation of these past research studies aims to highlight the controversial position of the results on Turkish Whistle Language. In this scope, this paper opens a discussion about the selection of test conditions for an acoustic and linguistic analysis of the Turkish whistle language.
Citation - WoS: 1
Citation - Scopus: 3
Comparative Performance Analysis of Filtering Methods for Removing Baseline Wander Noise From an Ecg Signal
(World Scientific Publ Co Pte Ltd, 2024) Ozaydin, Selma; Ahmad, Imteyaz; 253019; 01. Çankaya Üniversitesi; 08. Meslek Yüksekokulları; 08.02. Çankaya Meslek Yüksekokulu
ECG signals play a vital role in the diagnosis of cardiovascular conditions. However, they often suffer from the effects of various noise sources, including baseline wandering, respiratory artifact noise, power line interference and electrode motion artifacts. To overcome these challenges, it is imperative to implement low-frequency signal noise reduction strategies. Such strategies aim to significantly improve the quality of ECG signals, thus promoting more accurate and reliable diagnosis of cardiovascular disorders. This paper conducts a comparative analysis to assess the effectiveness of commonly used filtering and wavelet techniques in reducing Baseline Wander (BW) noise within ECG signals generated by the influence of breathing or electrode movements. It is common to observe the selection and evaluation of only one particular technique in the existing literature. In contrast, this study aims to provide a comprehensive comparative analysis, providing insight into the performance and relative merits of different techniques. Our research uses both filtering and Discrete Wavelet Transform (DWT) techniques in baseline noise removal. In this context, a reference point is established utilizing noise-free signals and a meticulous investigation of the wavelet-based approach that most effectively eliminates the resulting noise is provided. Subsequently, we assess the reference input and output signal via Signal-to-Noise Ratio (SNR) and Kolmogorov-Smirnov statistical test measurements. The most important contribution of this work to the scientific community resides in the comprehensive examination of IIR/FIR-based and wavelet method-based filtering methods capable of yielding the highest SNR levels across various ECG signals with various types of BW noise. Additionally, the effectiveness of the Chebychev-II filter in BW noise removal is highlighted. Our study was conducted using the MATLAB platform and code command lines were shared to facilitate the reproduction of our study by other researchers. It is considered that this study will be an important reference in the selection of effective techniques for removing BW noise within ECG signals.
Citation - Scopus: 6
The Convergence of Electricity Prices for European Union Countries
(Springer International Publishing, 2020) Telatar, M.E.; Yaşar, N.; 230528; 01. Çankaya Üniversitesi
The goal of achieving a single European market for electricity has been one of the main objectives for European countries since the “Single European Act” of 1988. The main purpose of this study is to examine whether the aim of unified electricity market has been achieved in terms of the convergence of electricity prices. Β-Convergence and s-convergence tests, are applied for 12 European Union states electricity price data through the period of 2003-2017. For this reason, along with conventional applied techniques, recently improved unit root tests are implemented for both linear and nonlinear data generating processes. The results suggest that convergence did not occur for most of the considered countries. © Springer Nature Switzerland AG 2020.
Citation - Scopus: 1
Design of a Voice Activity Detection Algorithm Based on Logarithmic Signal Energy
(Institute of Electrical and Electronics Engineers Inc., 2022) Ozaydin, S.; 253019; 01. Çankaya Üniversitesi; 08. Meslek Yüksekokulları; 08.02. Çankaya Meslek Yüksekokulu
This article presents a new method for calculating the signal energies of speech segments in voice activity detection algorithms. In the study, the μ-law signal compression method is adapted to calculate short-term signal energies. A simple voice activity detection (VAD) algorithm is designed to demonstrate the effectiveness of the proposed method. The same VAD algorithm was also run with two different conventional energy calculation formulas and the performance of each VAD was evaluated using time-domain short-time energy features. The G729 standard VAD algorithm was also used for performance comparison. During the test of the analyzed detectors, many kinds of input speech signals with various types of background environmental noise, such as restaurants, vehicles, and streets, were tested. Using the new energy calculation method, the VAD detector has improved detection accuracy compared to VAD detectors based on the other two energy methods and was able to effectively identify voice-active regions even in noisy conditions at low SNR levels. The results revealed that the VAD detector designed with the proposed new energy calculation formula outperforms traditional energy-based voice activity detection methods and provides noticeable increases in detection rate even under adverse conditions. © 2022 IEEE.
Doğrusal Olmayan Bootstrap Koentegrasyon Testleri: OECD Ülkeleri için Satın Alma Gücü Paritesi Üzerine Bir Uygulama
(2018) Uçar, Nuri; Güler, Hüseyin; 189073; 03.01. Bankacılık ve Finans; 03. İktisadi ve İdari Birimler Fakültesi; 01. Çankaya Üniversitesi
Bu çalışmanın doğrusal olmayan panel eşbütünleşme testleri önermesinin dışında ekonometri literatürüne ikinci katkısı ise, doğrudan eşbütünleşme testleri elde etmek yerine, uzun dönem denklemden elde edilen hata tahminlerinin hata düzeltme modellerine uzun dönem değişken olarak eklenip, doğrusal olmayan panel eşbütünleşme testlerini bu modeller üzerinden geliştirecek bootstrap yöntemi öne sürmesidir. Uygulamada, Bootstrap hipotez testleri, Monte Carlo yöntemiyle kritik değerler üretilip, bu kritik değerlere göre değerlendirilmiştir. Bootstrap tahminler için -hem parametre hem de istatistikler- Matlab da kod yazılmıştır. Üretilen eşbütünleşme testleri OECD ülkeleri için, Satın Alma Gücü Paritesi için uzun dönem ilişkinin olup olmadığını test etmek için kullanılmışlardır. Bu uygulamadan elde edilen sonuçlara göre, "diğer ülkelerde" uzun dönem ilişki varken, G7 ülkelerinde ise gözlemlenmemiştir. Satın Alma Gücü Paritesinin iki gurup arasında farklılaşması, ilginç bir sonuçtur. Veri seti oluştururken 2008 krizi dikkate alınarak oluşturulmuştur. Krizin 5 yıl öncesi ve sonrası veri setine dâhil edilmiştir. Buradaki amaç kriz şokunu ortak bir faktör olarak düşünmek ve bu faktörün yatay kesitte bağımlılığa neden olduğunu dikkate alarak bootstrap yaklaşımı ile parametre tahminlerini gerçekleştirmektir. Ayrıca, kriz öncesi dönemi kapsayan veriler içinde Satın Alma Gücü Paritesi araştırılmıştır. Tüm ülkeleri dikkate aldığımızda, kriz dönemini içeren 2003.01-2013.01 dönemi ile kriz öncesi dönem farklılaşmaktadır. Kriz öncesi doğrusal olmayan eşbütünleşme gözükürken, kriz döneminde böyle bir şey söz konusu değildir. Krizin neden olduğu ekonomik şokun ülke ekonomilerinde enflasyon ve döviz kuru verilerinde birlikte kırılmalara (co-breaking) neden olması bu değişkenler arasında doğrusal olmayan eşbütünleşmenin varlığı yönünde beklentiye neden olabilir. Bu doğrusal olmayan yapının "diğer ülkelerde" varlığını göstermesi fakat "G7" ülkelerinde ise eşbütünleşmenin gözlemlenmemesi, bu ülkelerin bu süreçte birbirlerinden ayrıştıklarını da göstermektedir Ekonometri teorisi açısından, bu çalışmada ortaya atılan testlerin istatiksel ve asimptotik özellikleri geliştirilmeye açıktır. Ayrıca, burada önerilen doğrusal olmayan testler uygulama açısından sadece bootstrap yaklaşımı ile değil, diğer yatay kesit bağımlılığını dikkate alan panel veri analizi içerisinde de geliştirilmeye uygundur. Uygulama aşamasında ise, döviz kurundaki değişen varyans problemini dikkate alan test istatistikleri ışığında Satın alma Gücü Paritesi geliştirilebilir.
Doğrusal Olmayan Panel Eşbütünleşme Testleri Kullanılarak Fisher Etkisinin OECD Ülkeleri İçin Araştırılması
(2018) Uçar, Nuri; 189073; 03.01. Bankacılık ve Finans; 03. İktisadi ve İdari Birimler Fakültesi; 01. Çankaya Üniversitesi
Citation - WoS: 9
The Dynamics of Financial Literacy Within the Framework of Personal Finance: an Analysis Among Turkish University Students
(Academic Journals, 2011) Altintas, Kadir Murat; 17561; 01. Çankaya Üniversitesi; 08. Meslek Yüksekokulları; 08.02. Çankaya Meslek Yüksekokulu
Poor financial choices could have a number of negative consequences for young people. Financially illiterate graduates might be subject to various financial or judicial enforcements, such as bankruptcy, mortgage crises or financial frauds. In order to protect young adults from the costly consequences of financial illiteracy, the evaluation of financial literacy must be analyzed for transforming them into financially knowledgeable individuals by the help of financial education. The main purpose of this study is to reveal the special characteristics that influence the financial literacy of university students, as well as to evaluate their financial literacy level. Results show that university students do not have adequate knowledge on personal finance and financial management, in other words they need to enhance their financial literacy in order to protect their financial security at the medium and long run. In addition, the most important factors that affect the overall personal financial literacy of university students within the framework of the survey are class rank, age, family's income level, and students' discussion potential with their parents about financial matters.
Ecg Signal Denoising With Scilab
(Ismail Saritas, 2023) Ahmad, I.; Özaydın, Selma; Ozaydin, S.; 253019; Çankaya Meslek Yüksekokulu; 08.02. Çankaya Meslek Yüksekokulu; 08. Meslek Yüksekokulları; 01. Çankaya Üniversitesi
This paper presents a study on de-noising electrocardiogram (ECG) signals using Scilab, an open-source software package known for its signal processing capabilities. ECG signals are often contaminated by various noise sources, which can reduce the accurate diagnosis and monitoring of heart health. In this work, digital signal processing methods such as Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) filters are used to effectively suppress noise while preserving the essential features of the ECG waveform. We explore main noise sources that commonly affect ECG recordings, such as baseline wandering noise, power-line interference, and muscle artifacts, and discuss their respective challenges. The de-noising methods has been extensively evaluated and demonstrated its ability to improve signal quality and diagnostic accuracy by eliminating noise artifacts. The results highlight Scilab's potential for de-noising ECG signals and its importance in improving patient care and biomedical signal processing applications. The efficacy of the de-noising methods is thoroughly evaluated through comparative analyses with other commonly used de-noising approaches. Experimental results demonstrate its superiority in preserving the QRS complex while efficiently eliminating noise artifacts, leading to more accurate and reliable diagnostic information. In conclusion, this paper presents a comprehensive study on de-noising ECG signals using Scilab, offering a valuable contribution to the field of biomedical signal processing. Researchers and practitioners in the domain of ECG signal processing can benefit from the insights and techniques presented herein to advance their studies and further applications. © 2023, Ismail Saritas. All rights reserved.
Citation - WoS: 12
Citation - Scopus: 12
The Effects of Inflation Uncertainty on Interest Rates: a Nonlinear Approach
(Routledge Journals, Taylor & Francis Ltd, 2010) Hasanov, Muebariz; Omay, Tolga; 08.02. Çankaya Meslek Yüksekokulu; 08. Meslek Yüksekokulları; 01. Çankaya Üniversitesi
In this article, we investigate the effects of inflation variability on short-term interest rates within a nonlinear smooth transition regression framework. The test results suggest that only the conditional mean of the inflation is a nonlinear process whereas the conditional variance is time variant but linear. Using the square root of conditional variance as a proxy for inflation risk, we estimate Fisher equation augmented with inflation risk. Although the estimated Fisher equations suggest that inflation risk reduces short-term interest rates, we find that the effects of inflation risk on interest rates are regime-dependent. Particularly, we find that the negative effects of inflation variability on nominal rates are greater in low-inflationary regimes when compared to high-inflationary regimes. On the other hand, it is found that both inflation and inflation uncertainty raise the expected inflation effect.
Eğitime Giriş
(Pegem Akademi, 2019) Ökdem, Meltem; 45368; 09.01. Ortak Dersler Bölümü; 09. Rektörlük; 01. Çankaya Üniversitesi
Citation - WoS: 31
Citation - Scopus: 36
The Endogenous and Non-Linear Relationship Between Terrorism and Economic Performance: Turkish Evidence
(Taylor & Francis Ltd, 2009) Arin, K. Peren; Omay, Tolga; Araz-Takay, Bahar; 177438; 08.02. Çankaya Meslek Yüksekokulu; 08. Meslek Yüksekokulları; 01. Çankaya Üniversitesi
This paper investigates the macroeconomic effects of terror by using a novel data set from Turkey for the period of 1987:1 to 2004:4. This research contributes to the literature by controlling for the possible non-linear and endogenous relationship between political conflict and economic activity. Empirical evidence from both linear and non-linear models confirms that terrorism has a large significant negative impact on economic activity. Finally, the results from the non-linear model show that the impact of terrorism on the aggregate economy is more severe during expansionary periods, and that the impact of economic activity on terrorism is significant only in recessionary periods.
Enflasyon ve büyüme belirsizliklerinin enflasyon ve büyüme ile olan ilişkileri: Türkiye örneği
(Çankaya Üniversitesi, 2008) Omay, Tolga; 19320; 08.02. Çankaya Meslek Yüksekokulu; 08. Meslek Yüksekokulları; 01. Çankaya Üniversitesi
Çalışmada iki değişkenli Genelleştirilmiş Otoregresif Koşullu Değişen Varyans modeli yardımıyla büyüme, enflasyon oranı ve belirsizliklerinin arasındaki Granger nedensellik ilişkileri incelenmiştir. Türkiye ekonomisine uygulanan çalışma, 1986:6-2007:1 dönemini kapsamakta ve bu dönem 3 farklı alt döneme (1986:6-1994:3/1994:5-2001:1/2003:3-2007:1) ayrılarak analiz genişletilmektedir. Tam dönem ve alt dönemler itibari ile elde edilen sonuçlar doğrultusunda, merkez bankasının fiyat istikrarını korumasına yönelik politika duruşunun optimal olduğu sonucuna varılmıştır.
Evaluation of Acoustic Phonetic Properties of Turkish Whistle Language
(2018) Özaydın, Selma; 253019; 08.02. Çankaya Meslek Yüksekokulu; 08. Meslek Yüksekokulları; 01. Çankaya Üniversitesi
Citation - WoS: 6
Citation - Scopus: 7
Firm Survival in Times of Crisis: Do Innovation and Financing Constraints Matter? Insights From the Covid-19 Pandemic
(Routledge Journals, Taylor & Francis Ltd, 2023) Ozsuca, Ekin Ayse; 237965; 01. Çankaya Üniversitesi; 03.06. Uluslararası Ticaret ve Finansman; 03. İktisadi ve İdari Birimler Fakültesi
Utilizing survey data collected over three rounds, this paper investigates the impact of pre-COVID innovation performance, innovation type, sources of knowledge, and the moderating role of financial constraints on survival following the outbreak of COVID-19. The findings pinpoint a strong and positive link between firm survival and innovation, especially process innovation, confirming the ability of innovators to adapt to new conditions as a determinant of survival. Moreover, relying on internal knowledge is found to increase the chance of survival and adaptability to times of crisis. The results further indicate that access to finance strengthens the positive impact of innovation on firm survival/adaptation.
A Graphical Speech Analysis Teaching Tool
(Institute of Electrical and Electronics Engineers Inc., 2022) Ozaydin, S.; 253019; 01. Çankaya Üniversitesi; 08. Meslek Yüksekokulları; 08.02. Çankaya Meslek Yüksekokulu
The widespread use of digital speech processing in today's technologies causes many electronics and computer engineering students to need a basic background in these subjects. The paper describes a toolbox designed to support undergraduate or graduate level courses on speech processing. The proposed educational toolbox is designed as a virtual lab for basic operations in digital speech processing-based courses. This graphical user interface (GUI) based speech analysis algorithm is built with six main function modules, which are signal input, noise addition, up-sampling/down-sampling, time domain feature analysis, pitch detection and frequency domain analysis. The toolbox involves different operations for measuring important speech feature parameters such as pitch, energy, zero-crossing ratio, FFT and power spectrum of an input speech signal. The toolbox has also been developed to easily manipulate and add some other possible speech processing methods. It is thought that the tool will make it easier for students to understand the methods that form the basis of digital speech processing, increase the interest in the lesson with its visual outputs, and allow new methods to be added easily when desired thanks to its simple and modular structure. The main aim of this paper to show how such a tool facilitates students understanding of technical concepts introduced in speech courses. © 2022 IEEE.
Kanun hükmünde kararnameler ve kapitalizmin ruhu
(2012) Kılıç, İlker; 43431; 04.01. Hukuk; 04. Hukuk Fakültesi; 01. Çankaya Üniversitesi
Marka Birleşmeleri
(Gazi Kitabevi, 2018) Özsaçmacı, Bülent; 19729; 03.06. Uluslararası Ticaret ve Finansman; 03. İktisadi ve İdari Birimler Fakültesi; 01. Çankaya Üniversitesi

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