Meslek Yüksek Okulu

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Citation - Scopus: 0
A Graphical Speech Analysis Teaching Tool
(Institute of Electrical and Electronics Engineers Inc., 2022) Ozaydin, S.; Özaydın, Selma; 253019; 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.
A Qualitative Analysis of Human Resources Practices in Yacht Harbors and Marinas in Türkiye
(2023) Kılıç, Tamer; Kılıç, Tamer; Yavuzel, Emre; 261218; Çankaya Meslek Yüksekokulu
Bu çalışmanın amacı; Türkiye'deki yat limanlarında ve marinalarda başta İnsan Kaynakları (İK) planlamaları olmak üzere İnsan Kaynakları Yönetimi (İKY) uygulamalarını analiz etmek ve iyileştirmeye dönük öneriler geliştirmektir. Araştırma evreninde Türkiye'nin Akdeniz, Ege ve Marmara Denizi kıyılarındaki 41 yat limanları ve marinalar bulunmaktadır. Araştırma kapsamında işletmelerin İK konusunda yetkili yöneticileriyle yarı yapılandırılmış görüşme gerçekleştirilmiştir. Araştırmada içerik analizi yöntemi kullanılmış, görüşme formundaki sorular üç ana tema altında toplanmış ve katılımcılardan alınan cevaplar aynı temalar altında veri setlerine dönüştürülmüştür. Bulgular, İK/personel departmanı olmasa da Türkiye'deki yat limanları ve marinaların çoğunluğunda İK uygulamalarının modern bir anlayışla gerçekleştirildiğini, bu kapsamda İK planlaması, personel tedariki, seçimi, performans değerlendirme, ücretlendirme, eğitim ve geliştirme dâhil önemli konularda İK bilgi sistemlerinin kullandığını ortaya koymuştur. Bazı yat limanı ve marinalarda teknik personel alımında karşılaşılan zorluklar nedeniyle, uygun adayların doğru yer ve zamanda istihdam edilmesinde sorunlar yaşandığı tespit edilmiştir. Sektöre ilişkin yükseköğrenim görmüş çalışanların işletmelere daha fazla katkı sağladıkları, bu nedenle işe alımlarda öncelikle tercih edildikleri görülmüştür. Araştırma neticesinde, Türkiye'deki yat limanları ve marinalarda; istihdam edilecek İK uzmanlarının katkılarıyla, başta İK planlamalarının verimliliği olmak üzere İKY ve açısından önemli iyileştirmeler yapılabileceği sonucuna varılmıştır.
Citation - Scopus: 3
A Relationship Marketing Strategy in Brand Communication: Influencer Marketing Strategy
(IGI Global, 2019) Ôzsaçmaci, B.; Özsaçmacı, Bülent; Dursun, T.; 19729; Uluslararası Ticaret ve Finansman
Influencer marketing increases brand awareness by generating appropriate content to attract the attention of consumers in a virtual environment in accordance with the brand texture. This chapter explores research to determine importance of influencer marketing in the brand communication area, which is based on relationship marketing. Authors mainly focus on influencer marketing and its connection with relationship marketing. They describe the constituent parts of the topics and illustrate them with the case studies and statistical facts. The authors strongly claim influencer marketing shares similar variables with relationship marketing and their basic keywords are related. © 2020 by IGI Global.
Citation - WoS: 0
Assessment of Criminal Charges Brought Against Teachers
(Nesibe Aydin Education inst, 2020) Ökdem, Meltem; Okdem, Meltem; 45368; Ortak Dersler Bölümü
The aim of this study was to assess the charges brought against teachers in criminal courts in Turkey. A qualitative research method was used in the study. The study used the document analysis method because it involved the study of legal documents. In order to determine what cases against teachers were brought to trial between 2004 and 2018, charges filed against teachers were obtained via www.kazanci.com and www.LegalBank.com. databases. The themes in the study were determined in accordance with the Turkish Criminal Law as crimes against the person, crimes against the nation and the state, and crimes against society. The study was initiated as a result of the fact that cases of violence in schools have increased rapidly in recent years. One factor in this is offenses committed by teachers, and this situation will cause grave social problems in the future if no measures are taken. It was found that most charges brought against teachers in the criminal courts were cases related to crimes against the person. This was followed by crimes against the nation and state and crimes against society. The curriculum of Faculties of Education should include courses such as human rights, education law, anger control and conflict management to raise teachers' awareness of these issues.
Başkanlık Sistemi Eleştirisi: Karl Marx’ın Mirası
(2019) Kılıç, İlker; 43431; Hukuk
Can US Wage Increases be Regarded as a Leading Indicator for Bond Rates?
(2020) Acar, Elif Öznur; Acar, Elif Oznur; Özşuca, Ekin Ayşe; 237965; 48566; Uluslararası Ticaret ve Finansman
After the subprime meltdown, the Federal Reserve focused its attention on US non-\rfarm payroll data in order to pave the way for its fund rate hikes. As time went by,\rthe Federal Reserve deemed particularly one sub-component of this data, namely the\rincrements on average weekly wage growth as a proxy for in\ration and thus a plausible\rexplanation for raising the interest rates. In that aspect, we decide to elaborate on this\rissue further and examine whether this implemented strategy indeed had a re\rection in\rthe real market. For doing so, we intend to determine whether there is any causality\rrelation in either direction between US average weekly wage increases and 10-year\rTreasury Bond rates. We utilize the Toda-Yamamoto causality approach and come\rup with a statistically signicant result between wages and bond rates. For robustness,\rwe also consider the unemployment rate and consumption expenditures as independent\rvariables.
CBS Tabanlı Suç Analizi Yöntemleri
(2013) Maraş, Hadi Hakan; Maraş, Hadi Hakan; 34410; Bilgisayar Mühendisliği
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; Çankaya Meslek Yüksekokulu
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: 0
Citation - Scopus: 2
Comparative Performance Analysis of Filtering Methods for Removing Baseline Wander Noise from an ECG Signal
(World Scientific Publ Co Pte Ltd, 2024) Ozaydin, Selma; Özaydın, Selma; Ahmad, Imteyaz; 253019; 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: 1
Design of a Voice Activity Detection Algorithm based on Logarithmic Signal Energy
(Institute of Electrical and Electronics Engineers Inc., 2022) Ozaydin, S.; Özaydın, Selma; 253019; 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.
Citation - WoS: 0
Do Depreciations Really Trigger an Inflow of Foreign Direct Investment? The Case of Turkey
(Sosyoekonomi Soc, 2018) Erünlü, Zeynep; Erunlu, Zeynep; 103521; İktisat
In this study, the relationship between real exchange rate and foreign direct investment is examined using the Logistic Smooth Transition - Autoregressive Distributed Lag (LST-ARDL) model. Analyzing the effect of real exchange rate changes on foreign direct investment is very crucial for a developing country like Turkey which has a relatively large foreign debt stock. The estimation results show that foreign direct investment inflows to Turkey increase when Turkish Lira appreciates against the US dollar and this effect is especially strong during periods of high investment inflows. Thus, for Turkey to attract productive capital flows rather than unstable short-term portfolio flows it has to maintain a strong currency against the US dollar.
Doğrusal Olmayan Bootstrap Koentegrasyon Testleri: OECD Ülkeleri için Satın Alma Gücü Paritesi Üzerine Bir Uygulama
(2018) Uçar, Nuri; Güler, Hüseyin; 189073; Bankacılık ve Finans
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; Bankacılık ve Finans
Citation - Scopus: 0
ECG Signal Denoising with SciLab
(Ismail Saritas, 2023) Ahmad, I.; Özaydın, Selma; Ozaydin, S.; 253019; Çankaya Meslek Yüksekokulu
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.
Eğitime Giriş
(Pegem Akademi, 2019) Ökdem, Meltem; 45368; Ortak Dersler Bölümü
Enflasyon ve büyüme belirsizliklerinin enflasyon ve büyüme ile olan ilişkileri: Türkiye örneği
(Çankaya Üniversitesi, 2008) Omay, Tolga; 19320; Çankaya Meslek Yüksekokulu
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.
Ethical İssues İn Marketing: An Application For Understanding Ethical Decision Making
(2014) Özsaçmacı, Bülent; Külter Demirgüneş, Banu; Özsaçmacı, Bülent; 19729; Uluslararası Ticaret ve Finansman
In recent years business ethics and social responsibility have gained great importance in marketing practices, especially in societal marketing practices. Businesses infinitely struggle to indicate their contributions to society. Consumers consciously evaluate this contribution. Manipulated consumer choices and unethical marketing applications can affect purchasing behavior. Particularly intense competition, globalization and societal consciousness transform businesses into social organizations and lead them into marketing efforts offering social value. Although business ethics and social responsibility of businesses have gained more attention in recent years, defining consumers’ perceptions on ethical issues is still minimal. This study presents an empirical research of consumer perceptions on ethical issues. Reflection of this perception on purchasing behavior is also another important issue to be considered. The aim of this study is to investigate the factors related with ethical issues in marketing practices and to reveal possible influences of these factors on consumers’ ethical decision making. The main objective of the study is to find out consumers’ perceptions on businesses’ ethical issues such as misleading advertising, deceptive packaging and to reveal the impact of these issues on their ethical purchasing behavior or ethical decision making. It also reveals which criteria is more important for ethical decision making. This study reveals that consumers reflect their ethical perceptions on their purchasing behavior. Each ethical issue has been found to be a positive effect on purchasing behavior. Businesses’ practices on packaging has been indicated as the most effective ethical issue on purchasing behavior. The study is considered to be a significant outcome for businesses to direct their advertising, packaging and other activities.
Evaluation of Acoustic Phonetic Properties of Turkish Whistle Language
(2018) Özaydın, Selma; 253019; Çankaya Meslek Yüksekokulu
Citation - WoS: 0
EXPLORING THE EFFECT OF CONSUMERS' FOOD-RELATED DECISION MAKING STYLES ON NATIONAL BRAND VS. STORE BRAND CHOICE
(intl inst Social & Economic Sci, 2016) Özsaçmacı, Bülent; Demirgunes, Banu Kulter; Ozsacmaci, Bulent; 19729; Uluslararası Ticaret ve Finansman
It is important for marketers to understand the individuals' buying decisions in a competitive environment. The concept of decision making style is one of the key determinants of consumers' behavioral patterns. This study aims to explore the effects of consumers' decision making styles on buying national and store branded food products. To examine consumer decision making styles, Sproles and Kendall's (1986) The Consumer Style Inventory (CSI) is adopted in the study. The framework of this study is based on eight consumer decision making style, expected to shape consumers' national and store brand choice on food products. The empirical analysis is based on data obtained from consumers living in Kirsehir, a city in Turkey. Questionnaires was handed over to 500 customer of retail stores both selling national and their own brands. Firstly, exploratory factor analysis is used to confirm the model, then multiple regression analysis is used to test the hypothesis and to compare consumer's national and store brand choice, in the context of their decision making styles. The study is expected to help retailers develop suitable strategies for national and store branded food products. In fact it is important to develop a certain and an accurate understanding of consumers' decision making styles for successful marketing and advertising strategies. Besides, different marketing strategies for both national and store branded food products can be tailored to the characteristics of consumers.
Finansal Yatırım Kararında Duygusal Faktörlerin Rolü: Bir Literatür Taraması
(2020) Usul, Naime; Çankaya Meslek Yüksekokulu
Modern finans teorisine göre yatırımcılar yatırım kararlarını verirken piyasa bilgisine eksiksiz sahipolup, bu bilgiyi doğru analiz edip, sonuç olarak beklediği faydayı maksimize edecek şekilde karar verir. Bufayda riske göre getiridir. Dolayısı ile temel varsayımı “rasyonel yatırımcılar” ve “beklenen fayda teorisi” olanbu bakış açısı, yatırımcının belli bir riske göre getirisini maksimize edecek yatırım kararını vereceğini öngörür.Davranışsal finans ise yatırımcıların getiri ve risk dışında başka faktörlerden de etkilenebileceğini, bu sebeplerasyonellikten, hem mikro seviyede birey olarak hem de makro seviyede piyasaları etkileyecek şekildesapabileceğini savunur. Bu çalışma, irrasyonel yatırımcı davranışlarıyla ilgili literatüre genel bir bakış atıp,özellikle duygusal faktörlerin etkisine dikkat çekerek “duygu hevristiği” ve yatırım kararına olan etkisi ile ilgiliyeni çalışmaları desteklemeyi hedeflemektedir. Nispeten bakir olan bu alanda, disiplinler arası bakış açısıyla,psikoloji, sosyoloji ve pazarlama gibi diğer sosyal bilimlerden de katkı alarak yeni çalışmalar yapılmasının,yatırım kararlarında duygusal faktörlerin etkisinin anlaşılması açısından faydalı olacağı öngörülmektedir

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