WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/256

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Now showing 1 - 20 of 62

Citation - WoS: 1
Citation - Scopus: 1
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 - Scopus: 2
A Decade of Discriminative Language Modeling for Automatic Speech Recognition
(2015) Arısoy, Ebru; Saraçlar, Murat; Dikici, Erinc
This paper summarizes the research on discriminative language modeling focusing on its application to automatic speech recognition (ASR). A discriminative language model (DLM) is typically a linear or log-linear model consisting of a weight vector associated with a feature vector representation of a sentence. This flexible representation can include linguistically and statistically motivated features that incorporate morphological and syntactic information. At test time, DLMs are used to rerank the output of an ASR system, represented as an N-best list or lattice. During training, both negative and positive examples are used with the aim of directly optimizing the error rate. Various machine learning methods, including the structured perceptron, large margin methods and maximum regularized conditional log-likelihood, have been used for estimating the parameters of DLMs. Typically positive examples for DLM training come from the manual transcriptions of acoustic data while the negative examples are obtained by processing the same acoustic data with an ASR system. Recent research generalizes DLM training by either using automatic transcriptions for the positive examples or simulating the negative examples.
Citation - WoS: 1
Citation - Scopus: 1
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: 4
All You Fear Is Love: the Roles of Rejection by Intimate Others
(Wiley, 2023) Aracı-İyiaydın, Ayşegül; Toplu-Demirtaş, Ezgi; Rohner, Ronald P. P.; Akçabozan-Kayabol, Nazlı Büşra
Interpersonal acceptance-rejection theory (IPARTheory) asserts that recollections of parental rejection in childhood tend to result in psychological maladjustment and intimacy problems in later romantic relationships. Informed by IPARTheory, we investigated the association between maternal & paternal rejection, and fear of intimacy by the mediating role of psychological maladjustment in a Turkish sample with 462 mostly young adults. We further explored the moderator role of gender in Model 1 and the moderating roles of both gender and intimate partner rejection in Model 2. Model 1 revealed that adults who had experienced maternal and paternal rejection in childhood tended to be psychologically maladjusted. Consequently, they also tended to have a fear of intimacy, regardless of gender. Model 2 revealed that women who recall having been rejected in childhood by their mothers tended to be psychologically maladjusted and to have a significant fear of intimacy when they also experienced moderate or more than moderate intimate-partner rejection. However, both women and men who experienced paternal rejection in childhood tended to be psychologically maladjusted and to experience a greater fear of intimacy when they perceived any degree of intimate partner rejection. Implications of the results for theory, research, and practice are discussed.
An Evaluation of the Psychometric Properties of the Strengths and Difficulties Scale in Turkey: Implications for Other Non-Weird Countries
(Wiley, 2023) Selçuk, Bilge; Tuncay, İpek; Arikan, Kübra; Yavus-Muren, H. Melis; Ruffman, Ted
The Strengths and Difficulties Questionnaire (SDQ) is a very widely used scale in which parents, teachers or the child rate various aspects of the child's well-being. It is widely used in the Western world and is translated into 80+ languages. It is also used in countries that do not classify as WEIRD (Western, educated, industrialized, rich and democratic). However, unlike WEIRD countries, some studies indicate that the psychometric properties of the SDQ when used in non-WEIRD countries are questionable. Therefore, we gave the SDQ to the mothers and teachers of 310 3- to 5-year-olds in urban centres of Turkey and examined its psychometric properties. Turkey is not a WEIRD country because it is not Western, although the participants in our study were well educated, living in an industrialized area, rich relative to others in Turkey (although poor relative to Westerners) and democratic. As such, it is not drastically different from WEIRD countries and our question was whether even relatively small deviations from standard WEIRD criteria could result in questionable psychometric properties for the SDQ.
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: 7
Architectural Design Research: Drivers of Practice
(Routledge Journals, Taylor & Francis Ltd, 2022) Aydemir, Ayse Zeynep; Jacoby, Sam
Research, professional practice, and learning in architecture are becoming increasingly integrated as the understanding of research and practice is transforming and research assessment criteria are expanding. This changing research landscape has created more diverse iterative and cyclical design research processes and opened new areas of exploration and experimentation in architecture. Building on existing tripartite design research models, such as research 'into', 'for', and 'through' or research stages of 'processes', 'products/outcome', and 'performance/impact', this paper uses the concepts of 'process-driven', 'output-driven', and 'impact' to analyse and classify current architectural design research practices. This framework is used to clarify how research criteria are differently understood in academia and practice, explore the challenges arising from translation between them, and analyse the methods commonly used. While focusing on the UK context, the paper offers transferable insights while using some international case studies.
Base Station-Assisted Cooperative Network Coding for Cellular Systems With Link Constraints
(IEEE, 2022) Arslan, Suayb S.; Pourmandi, Massoud; Haytaoglu, Elif
We consider a novel distributed data storage/caching scenario in a cellular network, where multiple nodes may fail/depart simultaneously To meet reliability, we allow cooperative regeneration of lost nodes with the help of base stations allocated in a set of hierarchical layers1. Due to this layered structure, a symbol download from each base station has a different cost, while the link capacities between the nodes of the cellular system and the base stations are also constrained. Under such a setting, we formulate the fundamental trade-off with closed form expressions between repair bandwidth cost and the storage space per node. Particularly, the minimum storage as well as bandwidth cost points are formulated. Finally, we provide an explicit optimal code construction for the minimum storage regeneration point for a special set of system parameters.
Citation - WoS: 2
Citation - Scopus: 2
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.
Citation - WoS: 2
Citation - Scopus: 7
Business as Usual: the U.s.-Turkey Security Partnership
(Wiley, 2015) Sazak, Selim C.; Kibaroğlu, Mustafa
The direction Turkey’s domestic politics has taken in recent years, Turkey’s aspira- tions for greater latitude in shaping region- al politics, and the incongruity of Turkey’s security interests with the policy objectives of its Western allies have all contributed to these troubles. Yet, the alarmists accusing Turkey of abandoning the West are em- bracing a one-sided and distorted narrative that further antagonizes Ankara and deepens the rift with its Western allies.The path to a robust alliance that can address the myriad challenges in the Middle East and beyond is a constructive dialogue between Turkey and its allies aimed at identifying the fulcrum that balances Turkey’s legitimate security interests with the broader objectives of its allies.
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: 6
Citation - Scopus: 7
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 - 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.
Citation - WoS: 3
Citation - Scopus: 5
Consumer Loans' First Payment Default Detection: a Predictive Model
(TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL, 2020) Sevgili, Türkan; Koç, Utku
A default loan (also called nonperforming loan) occurs when there is a failure to meet bank conditions and repayment cannot be made in accordance with the terms of the loan which has reached its maturity. In this study, we provide a predictive analysis of the consumer behavior concerning a loan’s first payment default (FPD) using a real dataset of consumer loans with approximately 600,000 records from a bank. We use logistic regression, naive Bayes, support vector machine, and random forest on oversampled and undersampled data to build eight different models to predict FPD loans. A two-class random forest using undersampling yielded more than 86% on all performance measures: accuracy, precision, recall, and F1-score. The corresponding scores are even as high as 96% for oversampling. However, when tested on the real and balanced dataset, the performance of oversampling deteriorates as generating synthetic data for an extremely imbalanced dataset harms the training procedure of the algorithms. The study also provides an understanding of the reasons for nonperforming loans and helps to manage credit risks more consciously.
Citation - WoS: 4
Citation - Scopus: 4
Cost of Guessing: Applications To Data Repair
(Institute of Electrical and Electronics Engineers Inc., 2020) Arslan, Şuayb Şefik; Haytaoğlu, Elif
In this paper, we introduce the notion of cost of guessing and provide an optimal strategy for guessing a random variable taking values on a finite set whereby each choice may be associated with a positive finite cost value. Moreover, we drive asymptotically tight upper and lower bounds on the moments of cost of guessing problem. Similar to previous studies on the standard guesswork, established bounds on moments quantify the accumulated cost of guesses required for correctly identifying the unknown choice and are expressed in terms of the Rényi's entropy. A new random variable is introduced to bridge between cost of guessing and the standard guesswork and establish the guessing cost exponent on the moments of the optimal guessing. Furthermore, these bounds are shown to serve quite useful for finding repair latency cost for distributed data storage in which sparse graph codes may be utilized.
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.
Examining the Indirect Role of Perceived Normativeness in the Association Between Collectivistic Values and Psychological Control of Turkish Mothers
(Wiley, 2023) Yavuz, Hatice Melis; Tuncay, İpek; Ruffman, Ted; Selçuk, Bilge
Parental psychological control has previously been related to negative developmental outcomes. However, fewer studies examined the cultural factors associated with parental psychological control. Several studies suggested that psychological control is used more by mothers in collectivistic (as compared to individualistic) cultures yet did not examine the mother's personal endorsement of the cultural values. This approach ignores the widely reported findings showing within country heterogeneity. In this study, we examined maternal adherence to collectivistic values and their psychologically controlling behaviour directed towards their preschool children. We also examined the indirect role of perceived normativeness of the psychologically controlling behaviour in the association between adherence to collectivistic values and using psychologically controlling behaviours. We hypothesized that mothers who endorsed collectivistic values more would perceive psychologically controlling parenting as more normative and in turn would display more psychological control. To test our research question, we collected data from 318 Turkish mothers, who had at least one preschool-aged child (child Mage = 59.46 months, SD = 9.23; range = 34-80 months; 160 males). The descriptive analyses are planned to be run in SPSS and path analyses in mplus are planned for examining the hypothesized mediational model.
Citation - WoS: 49
Citation - Scopus: 52
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: 2
Citation - Scopus: 2
Facial Expression Recognition From Still Images
(2017) Gökmen, Muhittin; Gazioglu, Bilge Suheyla Akkoca
With the development of technology, Facial Expression Recognition (FER) become one of the important research areas in Human Computer Interaction. Changes in the movement of some muscles in face create the facial expressions. By defining these changes, facial expressions can be recognized. In this study, a cascaded structure consists of Local Zernike Moments (LZM), Local XOR Patterns (LXP) and Global Zernike Moments (GZM) methods is proposed for the FER problem. The generally used database is the Extended Chon - Kanade (CK +) in FER problems. The database consists of image sequences of 327 expressions of 118 people. Most FER system includes recognition of 7 classes of emotions happiness, sadness, surprise, anger, disgust, fear and contempt, and we use Library of Support Vector Machines (LIBSVM) classifier for multi class classification with the leave one out cross-validation method. Our overall system performance is measured as 90.34% for FER.

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