Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://gcris.khas.edu.tr/handle/20.500.12469/1248

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Citation Count: 0
18 - Turkey
(Cambridge University Press, 2020) Diner,C.
Each of these chapters contains a case study of a couple from the relevant country. Each includes a description of the everyday life of the couple with respect to the division of housework and childcare, a recounting of the history of their relationship and how it became equal, a discussion of how they balance paid work and family, and an analysis of the factors that facilitate their equality. Those factors include their conviction in gender equality, their rejection of essentialist beliefs, their familism, and their socialization in their families of origin. By showing how and why they undo gender, these couples provide lessons on how equality at home can be achieved. © Cambridge University Press 2020
Citation Count: 0
The abyme of the shallow
(Taylor & Francis, 2014) Tüzün, Defne
[Abstract Not Available]
Citation Count: 0
Accelerated trends in tourism marketing and tourist behaviour
(Taylor and Francis, 2023) Kozak, Metin
Despite its much longer historical background, particularly since the 1980s, the world of marketing has entered a new era, becoming more consumer-oriented. Thus, consumers have come to be at the centre of all production and marketing activities in the business world. In the first wave, commencing from the early 2000s, mass consumption has gained more emphasis with technology development. The tourism and hospitality industry have also been directly affected by such developments, and we have seen new ways of marketing methods and new types of tourism activities/products. As a second wave, one more feature of the 21st century is that it has mainly been dominated by either regional or global incidents such as terrorism and pandemic. Together with disseminating the latest pandemic worldwide, marketing methods and consumer behaviour have undergone another dramatic transformation once again. Its initial outcomes have been in practice now, e.g. more individualised lifestyles, more personalised marketing and consumerism, more concerns with regard to safety and security, greater awareness of fashion, and more engagement on social media. Consequently, this chapter aims to examine the new trends that are likely to be encountered in tourism marketing based on the possible changes in consumer behaviour in the light of the developments of the last two decades and two waves. © 2024 selection and editorial matter, Alastair M. Morrison and Dimitrios Buhalis.
Citation Count: 1
Accelerating Brain Simulations on Graphical Processing Units
(IEEE, 2015) Bozkuş, Zeki; El-Ghazawi, Tarek A.; Bozkuş, Zeki
NEural Simulation Tool(NEST) is a large scale spiking neuronal network simulator of the brain. In this work we present a CUDA(R) implementation of NEST. We were able to gain a speedup of factor 20 for the computational parts of NEST execution using a different data structure than NEST's default. Our partial implementation shows the potential gains and limitations of such possible port. We discuss possible novel approaches to be able to adapt generic spiking neural network simulators such as NEST to run on commodity or high-end GPGPUs.
Citation Count: 6
Achievable Performance of Bayesian Compressive Sensing Based Spectrum Sensing
(IEEE, 2014) Erküçük, Serhat; Erküçük, Serhat; Çırpan, Hakan Ali
In wideband spectrum sensing compressive sensing approaches have been used at the receiver side to decrease the sampling rate if the wideband signal can be represented as sparse in a given domain. While most studies consider the reconstruction of primary user's signal accurately it is indeed more important to analyze the presence or absence of the signal correctly. Furthermore these studies do not consider the achievable lower bounds of reconstruction error and how well the selected method performs correspondingly. Motivated by these issues we investigate in detail the primary user detection performance of Bayesian compressive sensing (BCS) approach in this paper. Accordingly we (i) determine the BCS signal reconstruction performance in terms of mean-square error (MSE) compression ratio and signal-to-noise ratio (SNR) and compare it with the conventionally used basis pursuit approach (ii) determine how well BCS performs compared with the Bayesian Cramer-Rao lower bound (BCRLB) of the signal reconstruction error and (iii) assess the probability of detection performance of BCS for various SNR and compression ratio values. The results of this study are important for determining the achievable performance of BCS based spectrum sensing.
Citation Count: 0
Acoustic design guidelines for adults with intellectual disability
(European Acoustics Association EAA, 2014) Şaher, Konca; Nijs, Lau; Hordijk, Truus
This paper concentrates on the acoustic design aspects of the living rooms in institutions for adults with intellectually disability. In the living rooms for adults with ID there is even a higher stress on the acoustics since they are more dependent on the acoustical environment compared to normal population. Moreover prevalence of hearing impairment among adults with ID is around 30% and in most cases it is not even recognised. Therefore the rooms for adults with ID need to be designed by taking into account the requirements of the hearing impaired. They need more favourable room acoustics to improve their communication and participation. This paper investigates three main themes: 1) Investigation of impact of building design tools on acoustical quality parameters and determination of most appropriate acoustical quality indicator that translates best into architectural practice for living rooms for adults with ID. 2) Investigation of the relation between user satisfaction and absorption amount in rooms for adults with ID by listening tests prepared from auralizations. 3) Development of architectural/acoustical design guidelines to provide optimal absorption amount for living rooms for adults with ID.
Citation Count: 0
ACOUSTIC TRANSFORMATION OF ROCK-CUT CAVES INTO PERFORMANCE SPACES
(European Acoustics Association, EAA, 2023) Şaher, Konca; Saher,K.; Tozoglu,A.E.
Cappadocia Region in Turkey is a center of attention as a tourism destination with its rock-cut caves, some of which are being used as performance spaces for concerts, festivals and local entertainment activities. However, these spaces are not fully investigated for their acoustic performance before being transformed into performance venues. This paper reports on the findings of an initial survey which presents a systematic mapping of the rock-cut caves used as performance spaces to locate, explore and document a sample of structures scattered in this historic district. A typological classification based on volume, size, type of tuff rock material and historical original use has been proposed and an acoustic analysis of some selected rock-cut caves has been carried out. The acoustic analysis included reverberation time calculations and simulations based on apparent volume, and tuff stone absorption characteristics, which were studied by other researchers in the area. © 2023 Aslan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation Count: 5
The acquisition and use of relative clauses in Turkish-learning children's conversational interactions: a cross-linguistic approach
(Cambridge University Press, 2019) Uzundağ, Berna A.; Küntay, Aylin C.
Using a cross-linguistic approach, we investigated Turkish-speaking children's acquisition and use of relative clauses (RCs) by examining longitudinal child-caregiver interactions and cross-sectional peer conversations. Longitudinal data were collected from 8 children between the ages of 8 and 36 months. Peer conversational corpus came from 78 children aged between 43 and 64 months. Children produced RCs later than in English (Diessel, 2004) and Mandarin (Chen & Shirai, 2015), and demonstrated increasing semantic and structural complexity with age. Despite the morphosyntactic difficulty of object RCs, and prior experimental findings showing a subject RC advantage, preschool-aged children produced object RCs, which were highly frequent in child-directed speech, as frequently as subject RCs. Object RCs in spontaneous speech were semantically less demanding (with pronominal subjects and inanimate head nouns) than the stimuli used in prior experiments. Results suggest that multiple factors such as input frequency and morphosyntactic and semantic difficulty affect the acquisition patterns.
Citation Count: 1
Across dimensions: Two- and three-dimensional phase transitions from the iterative renormalization-group theory of chains
(2020) Keçoğlu, İbrahim; Berker, A. Nihat
Sharp two- and three-dimensional phase transitional magnetization curves are obtained by an iterative renormalization-group coupling of Ising chains, which are solved exactly. The chains by themselves do not have a phase transition or nonzero magnetization, but the method reflects crossover from temperaturelike to fieldlike renormalization-group flows as the mechanism for the higher-dimensional phase transitions. The magnetization of each chain acts, via the interaction constant, as a magnetic field on its neighboring chains, thus entering its renormalization-group calculation. The method is highly flexible for wide application.
Citation Count: 4
Action Recognition Using Random Forest Prediction with Combined Pose-based and Motion-based Features
(IEEE, 2013) Ar, İlktan; Akgül, Yusuf Sinan
In this paper we propose a novel human action recognition system that uses random forest prediction with statistically combined pose-based and motion-based features. Given a set of training and test image sequences (videos) we first adopt recent techniques that extract low-level features: motion and pose features. Motion-based features which represent motion patterns in the consecutive images are formed by 3D Haar-like features. Pose-based features are obtained by the calculation of scale invariant contour-based features. Then using statistical methods we combine these low-level features to a novel compact representation which describes the global motion and the global pose information in the whole image sequence. Finally Random Forest classification is employed to recognize actions in the test sequences by using this novel representation. Our experimental results on KTH and Weizmann datasets have shown that the combination of pose-based and motion-based features increased the system recognition accuracy. The proposed system also achieved classification rates comparable to the state-of-the-art approaches.
Citation Count: 1
Active and Reactive Power Load Profiling Using Dimensionality Reduction Techniques and Clustering
(Institute of Electrical and Electronics Engineers Inc., 2019) Ceylan, Oğuzhan; Ceylan, Oğuzhan; Papadopoulos, Theofilos A.; Kazaki, Anastasia G.; Barzegkar-Ntovom, Georgios A.
This paper proposes a methodology to characterize active and reactive power load profiles. Specifically, the approach makes use of fast Fourier Transform for conversion into frequency domain, principle component analysis to reduce the dimension and K-means++ to determine the representative load profiles. The data set consists of five-year measurements taken from the Democritus University of Thrace Campus. Test days were also classified as working and non-working. From the results it is observed that the proposed methodology determines representative load profiles effectively both regarding active and reactive power.
Citation Count: 2
Active reconfigurable control of a submarine with indirect adaptive control
(2003) Kerestecioğlu, Feza; Kerestecioğlu, Feza
An indirect adaptive controller is designed for submersibles. The design is developed using a linearized MIMO model of a submarine. Standard recursive least squares estimation method is used to estimate the parameters. Depth and pitch angle of the submarine is controlled by means of the well-known indirect self-tuning method. In case of a system fault estimated parameters of the submarine model have been used to update the controller coefficients.
Citation Count: 2
Actively open- minded thinking and the political effects of its absence
(Oxford University Press, 2023) Baron, J.; Isler, O.; Yilmaz, O.
[No abstract available]
Citation Count: 0
ACTORS OF RURAL INNOVATION: BAMBOO CRAFT INITIATIVES FROM NORTHEAST INDIA
(Nova Science Publishers, Inc., 2020) Bayraktaroğlu, S.
The purpose of the chapter is to identify the nature of innovation practiced in rural organizations. Accordingly, this study focuses on the processes of innovation in bamboo craft initiatives in rural territories of Northeast India. The study examines the craft economy in the region and involvement of main actors in the process from making to marketing via tracing the impact of a decades-old successful development intervention. Based on the neo-endogenous development theory and rural capital framework, the chapter investigates distinct business models emerged through a multi-actor intervention. Identification of actors and their roles in the network reveals the four phases of the process of rural innovation. © 2020 Nova Science Publishers, Inc. All rights reserved.
Citation Count: 5
Acute myeloblastic leukemia achieving complete remission with Amifostine alone
(2002) Öztürk, Ahmet Kutlu; Orhan, Bülent; Türken, Orhan; Etiz, Durmuş; Yaylacı, Mustafa; Üskent, Necdet
Amifostine, a phosphorylated thiol-amine, is known as a cytoprotective agent especially for cisplatin containing chemotherapies. Apart from the cytoprotective role, Amifostine could also be used in the treatment of hematologic malignancies such as myelodysplastic syndrome (MDS) and acute myeloblastic leukemia (AML), as a treatment option or for potentiating the effects of cytotoxic agents. We tried to use Amifostine in a patient with AML, which did not respond to conventional cytotoxic chemotherapy and aimed to publish the results. The patient was a 77-year-old male patient, he was diagnosed as AML by peripheral blood smear and bone marrow aspiration. Treatment commenced with low dose cytosine arabinoside (Ara-C) but the therapy should have ceased due to patient intolerance. The patient refused further therapy and he was offered to have Amifostine treatment. Amifostine was administered 200 mg/m2 three times a week, with ciprofloxacin, pentoxifyllin and dexamethasone. Dramatic response was obtained after 8 weeks of administration. Blast rate was reduced from 35 to 7% in bone marrow aspiration; pancytopenia was restored to normal levels. This remission was maintained through 8 more weeks. Amifostine treatment was restarted after he relapsed but this time he did not respond to the treatment and died of gastrointestinal bleeding on the 8th week of treatment.
Citation Count: 0
Advancing Anomaly Detection in Time Series Data: A Knowledge Distillation Approach with LSTM Model
(Institute of Electrical and Electronics Engineers Inc., 2023) Arsan, Taner; Camlidere,B.; Yildiz,E.; Guler,A.K.; Alsan,H.F.; Arsan,T.
This paper focuses on enhancing anomaly detection in time series data using deep learning techniques. Particularly, it investigates the integration of knowledge distillation with LSTM-based models for improved precision, efficiency, and interpretability. The study outlines objectives such as dataset preprocessing, developing a novel LSTM-knowledge distillation framework, incorporating Grafana, InfluxDB, Flask API with Docker, performance assessment, and practical implications. Results highlight the efficacy of knowledge distillation in enhancing student model performance. The proposed approach enhances anomaly detection, offering a viable solution for real-world applications. © 2023 IEEE.
Citation Count: 3
The AKP story: Turkey's bumpy reform path towards the European Union
(2011) McDonald, Deniz Bingöl
The Justice and Development Party (AKP) government between 2002 and 2007 managed to accomplish unprecedented economic reforms maintaining 8% growth and passed legislation to change Turkey into a more democratic country in line with the Copenhagen political conditions. After being rewarded with the start of accession negotiations in 2005 and an electoral landslide in 2007 AKP's second term in office is in stark contrast with its earlier days of glory. AKP disengaged itself from the IMF agreement and took EU reforms off the top of its agenda bringing half a decade of political and economic reforms to a halt. The paper argues that AKP utilized the credibility of IMF and EU support to defeat its domestic rivals but once the external incentives lessened AKP turned inwards to consolidate its power and cared for little else. The first part of the paper explores how AKP managed to construct such a broad reform consensus and assesses the role of the external influence. The second part explores why and how this reform consensus fell apart.
Citation Count: 1
Allocation of Distributed Generators Using Parallel Grey Wolf Optimization
(IEEE, 2021) Ceylan, Oğuzhan; Ahmadi, Bahman; Ceylan, Oguzhan; Ozdemir, Aydogan
This paper solves the allocation problem of distributed generators (DGs) in smart grids utilizing a grey wolf optimization (GWO) algorithm. By parallelizing GWO, it presents the impact of using various number of processors on speedup, efficiency. To decrease the computation time required to perform the simulations, different migration rates are applied for different number of processors. Moreover, the accuracy obtained using different number of processors is analyzed. The simulations are performed for a 33-bus distribution test system using MATLAB's parallel computing toolbox. From the simulation results it is observed that parallel GWO can be used as a tool for distribution system optimization.
Citation Count: 0
An Alternative Approach To Design Lumped Element Delay Equalizers
(Istanbul Univ Fac Engineering, 2015) Şengül, Metin Y.
In this paper an algorithm has been proposed to design lumped element delay equalizers which is considered as a single block as opposed to the existing methods in literature. Then after obtaining the desired delay performance the designed delay equalizer is divided and realized as cascaded first-order and/or second-order all-pass circuits. An example is given to illustrate the utilization of the proposed algorithm.
Citation Count: 3
Alternative Credit Scoring and Classification Employing Machine Learning Techniques on a Big Data Platform
(Institute of Electrical and Electronics Engineers Inc., 2019) Dağ, Hasan; Kiyakoğlu, Burhan Yasin; Rezaeinazhad, Arash Mohammadian; Korkmaz, Halil Ergun; Dağ, Hasan
With the bloom of financial technology and innovations aiming to deliver a high standard of financial services, banks and credit service companies, along with other financial institutions, use the most recent technologies available in a variety of ways from addressing the information asymmetry, matching the needs of borrowers and lenders, to facilitating transactions using payment services. In the long list of FinTechs, one of the most attractive platforms is the Peer-to-Peer (P2P) lending which aims to bring the investors and borrowers hand in hand, leaving out the traditional intermediaries like banks. The main purpose of a financial institution as an intermediary is of controlling risk and P2P lending platforms innovate and use new ways of risk assessment. In the era of Big Data, using a diverse source of information from spending behaviors of customers, social media behavior, and geographic information along with traditional methods for credit scoring prove to have new insights for the proper and more accurate credit scoring. In this study, we investigate the machine learning techniques on big data platforms, analyzing the credit scoring methods. It has been concluded that on a HDFS (Hadoop Distributed File System) environment, Logistic Regression performs better than Decision Tree and Random Forest for credit scoring and classification considering performance metrics such as accuracy, precision and recall, and the overall run time of algorithms. Logistic Regression also performs better in time in a single node HDFS configuration compared to a non-HDFS configuration.

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