Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1926

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Citation - WoS: 1
Citation - Scopus: 2
1441. Quantification of the Flow Noise in Household Refrigerators
(JVE INTERNATIONAL LTD., 2014) Körük, Hasan; Arısoy, Ahmet; Bilgin, Necati
The flow noise in household refrigerators is quantified in this study. First, the sound pressure measurements in a quiet room using typical household refrigerators are conducted and the noise characteristics of the refrigerators are presented. Then, the flow noise in household refrigerators is quantified using the results of the overall analysis and Fourier transform of the measured sound pressure data. After that, the flow noise in household refrigerators is quantified using the sound pressure measurements conducted using a specially designed test rig. The frequency characteristics of the flow noise in household refrigerators are also explored and the contribution of the flow noise is identified.
Citation - WoS: 1
Citation - Scopus: 2
A Novel Genetic Algorithm-Based Improvement Model for Online Communities and Trust Networks
(IOS Press, 2020) Bekmezci, ilker; Cimen, Egemen Berkic; Ermiş, Murat
Social network analysis offers an understanding of our modern world, and it affords the ability to represent, analyze and even simulate complex structures. While an unweighted model can be used for online communities, trust or friendship networks should be analyzed with weighted models. To analyze social networks, it is essential to produce realistic social models. However, there are serious differences between social network models and real-life data in terms of their fundamental statistical parameters. In this paper, a genetic algorithm (GA)-based social network improvement method is proposed to produce social networks more similar to real-life data sets. First, it creates a social model based on existing studies in the literature, and then it improves the model with the proposed GA-based approach based on the similarity of the average degree, the k-nearest neighbor, the clustering coefficient, degree distribution and link overlap. This study can be used to model the structural and statistical properties of large-scale societies more realistically. The performance results show that our approach can reduce the dissimilarity between the created social networks and the real-life data sets in terms of their primary statistical properties. It has been shown that the proposed GA-based approach can be used effectively not only in unweighted networks but also in weighted networks.
Citation - WoS: 1
Citation - Scopus: 1
Acoustic Cavitation Model Based on a Novel Reduced Order Gas Pressure Law
(2021) Pasinlioğlu, Şenay; Delale, Can Fuad
The thermal behavior of a spherical gas bubble in a liquid excited by an acoustic pressure signal is investigated by constructing an iterative solution of the energy balance equations between the gas bubble and the surrounding liquid in the uniform pressure approximation. This iterative solution leads to hierarchy equations for the radial partial derivatives of the temperature at the bubble wall, which control the temporal rate of change of the gas pressure and gas temperature within the bubble. In particular, a closure relation for the hierarchy equations is introduced based on the ansatz that approximates the rapid change of state during the collapse of the bubble from almost isothermal to almost adiabatic behavior by time averaging the complex dynamics of change of state over a relatively short characteristic time. This, in turn, leads to the desired reduced order gas pressure law exhibiting power law dependence on the bubble wall temperature and on the bubble radius, with the polytropic index depending on the isentropic exponent of the gas and on a parameter that is a function of the Péclet number and a characteristic time scale. Results of the linear theory for gas bubbles are recovered by identifying this parameter as a function of the Péclet number based on the Minnaert frequency. The novel gas pressure law is then validated against the near-isothermal solution and against the results of the numerical simulations of the original energy balance equations for large amplitude oscillations using spectral methods. Consequently, an acoustic cavitation model that accounts for phase change but that neglects mass diffusion is constructed by employing the reduced order gas pressure law together with the Plesset–Zwick solution for the bubble wall temperature and the Keller–Miksis equation for spherical bubble dynamics. Results obtained using variable interface properties for acoustically driven cavitation bubbles in water show that the time variations of the bubble radius and the bubble wall temperature lie between those obtained by the isothermal and adiabatic laws depending on the value of the Péclet number and the characteristic time scale.
Citation - WoS: 54
Citation - Scopus: 64
An Assessment of the Performance of Impedance Tube Method
(Institute of Noise Control Engineering, 2014) Hasan Körük
The impedance tube method is widely used for measuring sound absorption (or reflection) coefficients of acoustic materials as a function of frequency. However, the sound absorption coefficients obtained using the impedance tube method may have some variations due to the dimensions (limits) of an impedance tube, sample preparation and sample mounting. This paper assesses the performance of the two-microphone impedance tube method as a function of frequency for different tube dimensions and materials and presents suggestions for increasing the reliability and repeatability of impedance tube measurements. First, after summarizing a systematic way for measuring acoustic transfer functions, sound absorption coefficients of a variety of materials ranging from conventional absorbing acoustic materials to samples with thin films are measured using two tubes with different tube diameter and microphone spacing. Uncertainty of sound absorption coefficients for various materials is discussed, and the frequency limits of impedance tubes are assessed. Then, a method for minimizing uncertainty due to sample mounting is proposed and the main findings are discussed.
Analysis of a New Business Model To Fundraise Non-Governmental Organizations Using Fuzzy Cognitive Maps
(IOS Press, 2020) Aytore, Can; Sergi, Duygu; Ucal Sari, Irema
Fundraising is one of the most critical issues for non-governmental organizations (NGOs) to carry out their projects. In this paper, a search engine project which aims to find additional financial sources and increase donations for NGOs is proposed. The proposed search engine project is analyzed using fuzzy cognitive maps (FCMs) to define and manage factor influences on the success of the project. FCMs are useful tools to define long term effects of important factors for a system. First casual relations of the factors are determined and then using sigmoid function for learning algorithm, the equilibrium state for the system is obtained. It is found that the factors generating monetary values are the most important ones for the project to be successful in long term.
Citation - WoS: 3
Citation - Scopus: 3
Assessment of the Disaster Recovery Progress Through Mathematical Modelling
(TMMOB İnşaat Mühendisleri Odası, 2020) Dikmen, Seyyit Ümit; Sönmez, Murat; Akbıyıklı, Rıfat
Natural disasters, especially major earthquakes, cause widespread devastation in the built environment. Hence, the major component of the recovery in its aftermath constitutes a chain of projects starting at different times, having different costs and durations. In this study, the post disaster recovery curve modelled through a mathematical approach taking into account these properties of the projects. The approach followed is based on the project S-curve concept that provides the opportunity to simulate the progress by outlining the project spending. Well-known mathematical functions are adapted to model the project spending and the handover processes. Monte Carlo simulation is performed to evaluate the general behavior of the recovery curve using the model developed. Weibull distribution is used to generate the model’s parameters. Results of the Monte Carlo simulation demonstrate that the recovery process exhibits an S-shape, the duration of initial portion and the slope of the bulk portion being significantly governed by the level of preparedness of the community.
Citation - WoS: 7
Citation - Scopus: 9
Attachment Insecurity and Restrictive Engulfment in College Student Relationships: the Mediating Role of Relationship Satisfaction
(Emerald Publishing Limited, 2018) Hatipoğlu Sümer, Zeynep; Murray, Christine; Toplu Demirtaş, Ezgi
Purpose Studies on restrictive engulfment (RE) – a subtype of psychological aggression in intimate relationships – have focused either on insecure attachment or relationship satisfaction, not both. Therefore, the purpose of this paper is to investigate relationship satisfaction as a potential mediator of the associations between anxious and avoidant attachment and RE perpetration among college students. Design/methodology/approach A sample of 322 college students (178 women, 137 men, and seven other gender-identified) completed the experiences in close relationship inventory, relationship assessment scale, and RE subscale of the multidimensional measure of emotional abuse. Findings Among the sample, 89.3 and 90.5 percent of the college women and men, respectively, reported to have used isolating, restricting, monitoring, and controlling behaviors. The results of structural equation modeling revealed that all direct paths except for that from avoidant attachment to RE were significant. Moreover, significant indirect paths were identified from anxious and avoidant attachment to RE via relationship satisfaction. Research limitations/implications The results of this study should be interpreted with consideration of the study’s limitations. First, the data were drawn from a convenience sample of Turkish college students. Second, the design of the study is correlational; therefore, we cannot assume causality. Finally, this study utilized self-report and retrospective data. Practical implications Though the findings are preliminary, they may inform college counselors and other mental health practitioners about the nature of RE within college students’ dating relationships. College students who are unhappy with their dating relationships but still in those relationships (i.e. they choose not to leave) should be assessed for whether they are the perpetrators and/or recipients of psychological aggression, especially in light of the high rates of this form of aggression in the current and previous studies. Furthermore, assessing psychological dating aggression perpetrators for insecure attachment styles may help mental health professionals who work with college students, envisage the sessions toward areas in the need of improvement, such as their views of themselves and others. Self-esteem, feelings of insecurity and inadequacy in relationships, and dependency can be worked with these clients. Social implications The results of this study also have implications for the prevention of psychological aggression before it occurs. The need for prevention programs is evident in the high rates of psychologically controlling behaviors among college students. It may be useful to implement campus wide programs to raise awareness regarding psychological aggression, such as through events, seminars, posters, flyers, and talks with student groups. Originality/value Despite the limitations of this study, its findings offer insight into the factors that influence the perpetration of psychological aggression within dating relationships among college students. Adult attachment theory offers a useful lens for understanding the possible driving forces behind college students’ controlling behaviors toward their dating partners. In particular, college students who demonstrate an insecure attachment style – and especially an anxious attachment style – combined with low levels of relationship satisfaction appear to be at a high risk for perpetrating RE behaviors.
Citation - WoS: 4
Citation - Scopus: 3
Between a Rock and a Hard Place: How To Make Sense of Turkey’s S-400 Choice
(SETA Foundation, 2020) Kibaroğlu, Mustafa
With the wrap-up of the S-400 deal with Russia in December 2017, critics argue that Turkey is caught between a rock and a hard place due to the adamant opposition of its NATO allies, the United States in particular, which has threatened Ankara with imposing severe sanctions. Would this be the correct representation of the situation at hand? Does it make any sense for Turkey to engage Russia, an archrival nation, to enhance the security of the country? Is the S-400 deal worth the risk of alienating the allied nations whose projected sanctions may have wide-ranging political, economic and military repercussions? With these questions in mind, this paper will try to shed light on the specifics of the S-400 deal that make one think that it may indeed make sense for Turkey to bear the brunt of engaging Russia. In the same vein, the paper will assess the impact of the S-400 deal on Turkey’s defense industries. The paper will also present the author’s conception of the current “international political non-order” as an underlying factor behind the deal. Finally, the paper will suggest that the S-400 deal must be approached from a wider perspective so as to grasp the extent of the service it has done in bolstering Turkey’s military-industrial complex. © 2020, SETA Foundation. All rights reserved.
Calling for a Reset in Turkish-American Relations in the Post-COVID International Order
(SETA Foundation, 2020) Kibaroğlu, Mustafa
Analysts emphasize that nothing will be the same after the pandemic and refer to the ‘new normal’ that is likely to prevail everywhere in the world. It would be a legitimate question to ask if this would provide a conducive environment for Turkey and the United States to reset their relations that have much deteriorated lately. This article will, first, highlight the contours of the ‘new normal’ narrative by referring to the views expressed by politicians, academics, analysts, journalists and intellectuals from around the world. Second, the article will assess the implications of the parameters of the ‘new normal’ for key actors in world politics, such as the United States, China, the European Union and Russia, as well as Turkey’s Middle Eastern neighbors, with respect to the issues that will be at stake in the international security environment. Finally, the article will make a call for a reset in Turkish-American relations in order for the two long-standing allies to adapt themselves better to post-COVID international politics. © 2020, SETA Foundation. All rights reserved.
Citation - WoS: 7
Citation - Scopus: 9
Can Managers Become Entrepreneurs? a Moderated Mediation Model of Entrepreneurial Intention
(John Wiley and Sons, 2020) Şahin, Faruk; Karadağ, Hande
This study investigates the role of entrepreneurial knowledge on the formation of entrepreneurial intentions in a sample of 190 middle‐level managers by extending the theory of planned behaviour (TPB). Findings indicate that entrepreneurial knowledge has a significant and positive effect on entrepreneurial intention (EI), whereas personal attitude (PA) and personal behavioural control (PBC) mediate the relationship between entrepreneurial knowledge and intention. Findings also indicate that the third construct of TPB, namely social norm, moderates the mediating role of the indirect intention effect of entrepreneurial knowledge through PA and PBC differently. Together, the findings suggest several directions for managers and organizations, as well as policy‐makers, who are responsible for creating more productive and innovative entrepreneurial ventures.
Citation - WoS: 3
Citation - Scopus: 3
Characterization of Viscoelastic Materials Using Free-Layered and Sandwiched Samples: Assessment and Recommendations
(Polish Physical Society, 2015) Özer, Mehmet Sait; Körük, Hasan; Şanlıtürk, Kenan Yüce
Viscoelastic materials are widely used in many applications in practice. However, determination of the elastic and damping properties of these materials is quite difficult in the sense that the identified results may contain high degree of uncertainty. The characterization of viscoelastic materials using the Oberst beam method, based on non-contact excitation and response measurements, is revisited in this paper. The effects of signal processing parameters such as frequency resolution in Frequency Response Function (FRF) measurements, as well as the effects of various single-degree-of-freedom modal analysis methods, including circle-fit, half-power and line-fit are investigated first. Then, the modal loss factors, Young's modulus and shear modulus of some sample viscoelastic materials are identified using both the free-layered and sandwiched samples. The results obtained from different tests are compared, discussed and some recommendations are made so as to identify the damping and elastic properties of typical viscoelastic materials with better accuracy. Analyses of a large number of FRF measurements show that the selection of the appropriate signal processing parameters and the use of appropriate modal analysis method can be very significant during the identification of viscoelastic materials. By following the approach presented in this paper, the damping and elastic properties of viscoelastic materials can be identified with better accuracy using either free-layered or sandwiched samples. The material properties obtained by this approach can be used for developing valid structural models and/or for damping optimization purposes.
Citation - Scopus: 4
Classification of Skin Lesion Images With Deep Learning Approaches
(University of Latvia, 2022) Kulavuz, Bahadır; Ertuğrul, Berkay; Bakırman, Tolga; Çakar, Tuna; Doğan, Metehan; Bayram, Bülent; Bayram, Buket
Skin cancer is one of the most dangerous cancer types in the world. Like any other cancer type, early detection is the key factor for the patient's recovery. Integration of artificial intelligence with medical image processing can aid to decrease misdiagnosis. The purpose of the article is to show that deep learning-based image classification can aid doctors in the healthcare field for better diagnosis of skin lesions. VGG16 and ResNet50 architectures were chosen to examine the effect of CNN networks on the classification of skin cancer types. For the implementation of these networks, the ISIC 2019 Challenge has been chosen due to the richness of data. As a result of the experiments, confusion matrices were obtained and it was observed that ResNet50 architecture achieved 91.23% accuracy and VGG16 architecture 83.89% accuracy. The study shows that deep learning methods can be sufficiently exploited for skin lesion image classification. © 2022 Baltic Journal of Modern Computing. All rights reserved.
Contesting Labels: Revisiting Old Questionnaires
(Cambridge University Press, 2020) Ada, Serhan; Yücel, Şebnem
As a response to several questionnaires, manifestos, interviews, and letters that were included in the book Modern Art in the Arab World: Primary Documents, this article carries out a new questionnaire with seven artists form various backgrounds and geographies, in an attempt to update and re-question some of the issues that were highlighted in the collected essays. The questionnaire includes three questions, each focusing on a different issue. The first issue considers the validity of the term “Arab Art,” the second tries to identify the main dynamics of contemporary artistic production, and the last one questions the relation of contemporary production of arts to geography and history. The following interviews have been edited for consistency and clarity.
Citation - WoS: 4
Citation - Scopus: 3
Developmental Health Services Leadership: Integrating Hierarchical and Shared Leadership for Health Services Organizational Learning
(2015) Pearce, Craig L.
The purpose of this article is to articulate a model of, as well as a call to action for, health services leadership, with a particular emphasis on the role of health services leadership in organizational learning. More specifically, I articulate a model that poses two antecedents of health services hierarchical leadership-leader responsibility disposition and environmental cues-as important predictors of empowering leadership. In turn, I assert that empowering leadership from above will engender an inclination toward shared leadership among followers. Subsequently, I venture that both empowering hierarchical leadership and shared leadership are precursors of health services organizational learning. I specify several research directions for future scholarship. More importantly, I identify multiple measures that policy makers and practitioners can take to enhance health services leadership and organizational learning.
Citation - WoS: 1
Citation - Scopus: 3
Evaluation of a Strategic Management Program: Context, Input, Process, Product Model as a Prototype for Business Academies
(TECHNOLOGY EDUCATION MANAGEMENT INFORMATICS, 2021) Kırkıç, Kamil Arif; Birgili, Bengi
The present study examines the evaluation models of strategic management (SM) programs in business academies and evaluates a sample program based on Stufflebeam's context, input, process, product (CIPP) program evaluation model. When evaluation studies used in Turkey were scrutinized, Stake's countenance model and Provus's discrepancy model were also discovered; however, the CIPP Model has generally been used. Further, this study explores (1) the history of SM education and (2) SM education within the perspectives of business academies, (3) a sample of SM education developed by a private education consulting service and (4) a theoretical background and a practical method to evaluate the program of business academies.
Citation - WoS: 1
Citation - Scopus: 1
Exploring the Drivers of Green Purchase Behaviour: the Moderating Roles of Perceived Expensiveness and Green Scepticism
(inderscience Enterprises Ltd, 2024) Aydın, Kenan; Altan, Meral Uzunöz; Köse, Şirin Gizem; Çizer, Ece Özer
This research aims to investigate factors affecting green consumption behaviour by utilising theory of planned behaviour and extends the theory by integrating environmental attitude, perceived expensiveness, and green scepticism variables. The results show that environmental attitude, attitude towards purchasing green products, subjective norms, and perceived behaviour control variables determine green product consumption. The study also presents the partial mediator role of attitude towards buying green products in the relationship between environmental attitude and green product purchase behaviour. Furthermore, perceived expensiveness and green scepticism have negative moderating roles in the relationship between attitudes toward purchasing green products and green purchase behaviour.
Citation - WoS: 59
Citation - Scopus: 61
Extension of Capital Budgeting Techniques Using Interval-Valued Fermatean Fuzzy Sets
(IOS Press, 2022) Sergi, Duygu; Sarı, İrem Uçal; Senapati, Tapan
Capital budgeting requires dealing with high uncertainty from the unknown characteristics of cash flow, interest rate, and study period forecasts for future periods. Many fuzzy extensions of capital budgeting techniques have been proposed and used in a wide range of applications to deal with uncertainty. In this paper, a new fuzzy extension of the most used capital budgeting techniques is proposed. In this content, first interval-valued Fermatean fuzzy sets (IVFFS s) are defined, and the algebraic and aggregation operations are determined for interval-valued Fermatean fuzzy (IVFF) numbers. The formulations of IVFF net present value, IVFF equivalent uniform annual value, and IVFF benefit-cost ratio (B/C) methods are generated. To validate the proposed methods, proposed formulations are illustrated with a hypothetical example, and the results are compared with classical fuzzy capital budgeting techniques.
Citation - WoS: 1
Facial Emotion Recognition Using Residual Neural Networks
(2024) Kırbız, Serap
Facial emotion recognition (FER) has been an emerging research topic in recent years. Recent automatic FER systems generally apply deep learning methods and focus on two important issues: lack of sufficient labeled training data and variations in images such as illumination, pose, or expression-related variations among different cultures. Although Convolutional Neural Networks (CNNs) are widely used in automatic FER, they cannot be used when the number of layers is large. Therefore, a residual technique is applied to CNNs and this architecture is named residual neural network. In this paper, an automatic facial emotion recognition method using residual networks with random data augmentation is proposed on a merged FER dataset consisting of 41,598 facial images of size 48 × 48 pixels from seven basic emotion classes. Experimental results show that ResNet34 with data augmentation performs better than CNN with a classification accuracy of 81%.
Citation - WoS: 5
Citation - Scopus: 6
Generation of Feasible Integer Solutions on a Massively Parallel Computer Using the Feasibility Pump
(2017) Mehrotra, Sanjay; Koç, Utku
We present an approach to parallelize generation of feasible mixed integer solutions of mixed integer linear programs in distributed memory high performance computing environments. This approach combines a parallel framework with feasibility pump (FP) as the rounding heuristic. It runs multiple FP instances with different starting solutions concurrently, while allowing them to share information. Our computational results suggest that the improvement resulting from parallelization using our approach is statistically significant. (C) 2017 Elsevier B.V. All rights reserved.
Citation - WoS: 1
Citation - Scopus: 1
Identification of Candidate Biomarkers and Pathways in Breast Cancer by Differential Network Analysis
(Inderscience Publishers, 2020) Mendi, Onur; Karahoca, Adem
Breast cancer is one of the most malignant cancers in women worldwide. The aim of the present study was to explore the underlying biological mechanisms of breast cancer. For this purpose, we propose a novel framework to reveal mechanisms that drive disease progression in breast cancer by combining prior knowledge in the literature with differential networking methodology. Our integration framework has resulted in the most important genes and interactions by allowing ranking the breast cancer-specific gene network. YY1, SMARCA5, FOXM1, STAT4 and PTTG1 were found to be the most important genes in breast cancer. Functional and pathway enrichment analyses identified numerous pathways that may play a critical role in disease progression. Considering the success of the comparison of the results with the literature, the systemic lupus erythematosus pathway may be a potential target of breast cancer.

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