Scopus İndeksli Yayınlar Koleksiyonu

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Citation - WoS: 9
Citation - Scopus: 9
2-D and 3-D basin site effects in Izmir-Bayrakli during the October 30- 2020 Mw7.0 Samos earthquake
(SPRINGER, 2023) Kemal Onder Cetin; Moutasem Zarzour; Elife Cakir; S. Caglar Tuna; Selim Altun; Altun, Selim; Zarzour, Moutasem; Cetin, Kemal Onder; Cakir, Elife; Tuna, S. Caglar
During the October 30 2020 M(w)7.0 Samos Earthquake the Turkiye-Izmir-Bayrakli district was affected the most due to the geometry and the deep-soft alluvial nature of the basin although the district is approximately 70 km away from the epicenter. In this study the seismic response of the Bayrakli basin and the role of the soil stratigraphy and basin geometry on the recorded amplifications and prolonging of seismic shakings are investigated by using 1- 2-and 3-D non-linear finite element-based dynamic response analyses. The assessment results are presented in the form of spectral amplification ratios A(T). The highest A(T) values were estimated at spectral periods T = 0.85 and 1 s. They exceed five in both the east-west and the north-south directions more pronounced in the latter one. A(T) was decomposed into the product of two independent amplification factors namely rock to soil amplifications A(Soil)(T) and 1-D soil column to 3-D soil basin amplifications A(Basin)(T). A(Basin)(T) values for T = 0.85 and 1 s are estimated as high as 1.4 and 1.6 in the east-west and the north-south directions respectively. These values suggest that the 3-D geometry of the Bayrakli basin amplifies the spectral accelerations by 40-60% at T = 0.85 and 1 s. The unique combination of a deep-soft alluvial site with 3-D basin geometry and overlying 7-9 story residential buildings consistently favors and amplifies the seismic energy in the spectral period range of 0.7-1.0 s. This multi-fold increased seismic demand combined with poor structural design and construction details lead to localized structural damage and over 117 life losses.
Citation - WoS: 10
Citation - Scopus: 13
A Bus Crew Scheduling Problem with Eligibility Constraints and Time Limitations
(ELSEVIER SCIENCE BV, 2017) Hande Oztop; Ugur Eliiyi; Deniz Tursel Eliiyi; Levent Kandiller; Öztop, Hande; Kandiller, Levent; Eliiyi, Uǧur; Eliiyi, Deniz Türsel; HB Celikoglu; AH Lav; MA Silgu
In this study we consider a real life crew scheduling problem (CSP) of a public bus transportation authority where the objective is to determine the optimal number of different types of crew members with a minimum cost that cover a given set of tasks regarding working and spread time limitations. Each driver has a spread time limit from the start time to the end time of his/her shift including the idle times. Additionally a driver cannot exceed the maximum total working time limit. The processing times of the tasks assigned to each driver are included in his/her working time as well as the sequence-dependent setup times. As our study is inspired from a real life CSP the tasks can require different types of vehicles that require different crew capabilities. Therefore there are several crew classes based on the competencies required to use certain vehicle types inducing eligibility constraints in the problem. We formulate a Tactical Fixed Job Scheduling Problem based binary programming model for the problem. In the formulation we consider only processing times of tasks as working time. In order to avoid defining an additional sequence control variable that explodes the model size and in turn ruins solution performance we develop an iterative valid inequality generation scheme which eliminates task sequences exceeding the total working time when setup times are included. The performance of the developed model is investigated through a comprehensive experimentation and the numerical results are reported. The results show that our optimal seeking solution procedure is quite effective in terms of solution time for instances with up to 120 tasks. (C) 2017 The Authors. Published by Elsevier B.V.
Citation - WoS: 4
Citation - Scopus: 4
A Canonical 3-D P53 Network Model that Determines Cell Fate by Counting Pulses
(ISTANBUL UNIV FAC ENGINEERING, 2018) Gokhan Demirkiran; Guleser Kalayci Demir; Cuneyt Guzelis; Güzeliş, Cüneyt; Demirkıran, Gökhan; Demir, Güleser Kalaycı
From a system theory perspective p53 network dynamics is interesting since it can exhibit three dynamical modes of p53 namely low-level equilibrium oscillation and high-level equilibrium. Each of these modes are associated with different cell fate outcomes: cell survival cell cycle arrest and apoptosis. The literature reveals that a high level (apoptosis) is seen only after ending the oscillation phase so called two-phase dynamics which provides the decision of apoptosis depending on the oscillation duration. This paper proposes that a negative feedback can keep time by counting the pulses of oscillation to take the decision of apoptosis or cell survival. P53DINP1 which is the mediator of this feedback is added as a variable to a 2-D oscillator model of the p53 network. The resulting canonical 3-D model successfully replicates the two-phase dynamics. That is it possesses temporary oscillatory behavior in which first oscillations (first phase) and then high level state (second phase) are observed. By introducing a new variable to the core oscillator in the p53 network this study demonstrates that p53 network can be considered a modular structure which consists of an oscillator and other variables that control this oscillator to contribute to cell fate determination.
Citation - WoS: 2
Citation - Scopus: 2
A Case Study on the Selection of Optimum Loop Units for the Deployable Arch Structures Exposed to Lateral and Non-uniform Gravity Loads
(ELSEVIER SCIENCE BV, 2020) K. Yuceturk; E. Aktas; F. Maden; S. Gur; C. C. Mitropoulou; Mitropoulou, C.C.; Aktaş, E.; Yücetürk, K.; Maden, F.; Gur, Ş.; ND Lagaros; KM Abdalla; GC Marano; MC Phocas; R AlRousan
Radially deployable arches may be created by using various types of units. However for any deployable structure to be constructed in real life it should satisfy the structural regulations and codes. Despite various advantages from architectural perspective deployable structures are weak to satisfy the operational code limits when compared to trusses with similar height and span. Therefore weight minimization is very important to reduce the dead loads of the structure which facilitates the code-conformance of the structure. The optimization of the deployable structures requires an initial selection of the loop types to define the structure parametrically. An initial selection strategy depending on the loads on the structure is important to increase the efficiency of optimization process. Under uniform gravity loads optimum arrangement for each unit type converges to a similar point. However in the real world the loads on the arches are not always uniform and the structure is exposed to nonuniform loadings such as point loads or lateral loads. This work focuses on the performance of various arches with different unit types under lateral and non-uniform vertical loads. Different lateral load and non-uniform gravity loading scenarios are created. For each scenario the arches with different units are analyzed. In all cases clear span and height are kept as same. The performance of an arch with a specific unit type for a given load is measured with a score that includes the deformations and the weight of the structure. All the members are assumed to be circular hollow sections with variable diameter and thickness to have a meaningful weight comparison between structures. This work intends to define an initial selection guide for deployable arches under typical non-uniform and lateral loading conditions. (C) 2020 The Authors. Published by Elsevier B.V.
Citation - WoS: 35
Citation - Scopus: 25
A circular food supply chain network model to reduce food waste
(Springer, 2022) Ozgur Kabadurmus; Yigit Kazancoglu; Damla Yüksel; Melisa Ozbiltekin-Pala; Yüksel, Damla; Pala, Melisa Özbiltekin; Kabadurmus, Ozgur; Kazançoğlu, Yiğit
Food loss and waste (FLW) is a growing global problem throughout the world. The rapid increase in food waste and deficiencies in treatment processes have led to greater harm to the environment. A circular food supply chain (FSC) is now an essential means of encouraging circular economy. Proper food waste treatment and recycling operations can not only benefit the environment but these wastes can also be used as raw material for production in a circular economy. In this study a circular food supply chain network model is designed to reduce the food waste generated in the circular food supply chain systems of municipalities. Then a mixed-integer linear programming model is generated to model the proposed circular food supply chain network model. The MILP model is a network model aimed at reducing the food waste generated. To do so two objectives are considered: the overall cost of the network is minimized and the amount of distributed food waste from the generation nodes to the end nodes is maximized. Due to the bi-objective nature of the proposed mathematical model the Improved Augmented Epsilon Constraint method (AUGMECON2) is implemented to solve the problem optimally. To illustrate the applicability and effectiveness of the proposed mathematical model two real-life case studies were carried out in Izmir the third largest city in Turkey. The computational results demonstrate that the proposed model is beneficial for both small and large municipalities since it provides the Pareto-optimal set where the total amount of distributed food waste is maximized and the total cost is minimized. © 2022 Elsevier B.V. All rights reserved.
Citation - WoS: 3
Citation - Scopus: 3
A COMPARATIVE STUDY ON THE EXERGOECONOMIC ANALYSIS OF TEXTILE DRYERS USING SPECO METHOD
(EGE UNIV, 2012) Ahmet Cay; Isik Tarakcioglu; Arif Hepbasli; Hepbaşlı, Arif; Çay, Ahmet; Tarakçıoğlu, Işık
This study reveals the exergoeconomic analysis of stenters by using Specific Exergy Costing (SPECO) method. The cost balances and auxiliary thermoeconomic relations were developed for direct gas heated (DGHS) and hot oil heated (HOHS) stenters by the application of the control volume models. The exergy cost of the evaporation of water was selected to be the main parameter. It was shown that the falling-rate period of drying led to the highest exergy costs while exergy costs varied between 0.19 US$/GJ and 0.59 US$/GJ depending on the drying periods. Increasing the exhaust air humidity ratio and the residual moisture content of the fabric outlet decreased the exergy costs linearly.
Citation - WoS: 57
Citation - Scopus: 81
A comparison of data mining techniques for credit scoring in banking: A managerial perspective
(Vilnius Gediminas Tech Univ, 2009) Hüseyin Ince; Bora Aktan; Aktan, Bora; Ince, Huseyin
Credit scoring is a very important task for lenders to evaluate the loan applications they receive from consumers as well as for insurance companies which use scoring systems today to evaluate new policyholders and the risks these prospective customers might present to the insurer. Credit scoring systems are used to model the potential risk of loan applications which have the advantage of being able to handle a large volume of credit applications quickly with minimal labour thus reducing operating costs and they may be an effective substitute for the use of judgment among inexperienced loan officers thus helping to control bad debt losses. This study explores the performance of credit scoring models using traditional and artificial intelligence approaches: discriminant analysis logistic regression neural networks and classification and regression trees. Experimental studies using real world data sets have demonstrated that the classification and regression trees and neural networks outperform the traditional credit scoring models in terms of predictive accuracy and type II errors. © 2010 Elsevier B.V. All rights reserved.
Citation - WoS: 2
Citation - Scopus: 4
A Comprehensive Analysis of Data Augmentation Methods for Speech Emotion Recognition
(Institute of Electrical and Electronics Engineers Inc., 2025) Umut Avci; Avci, Umut
The limited availability of labeled emotional speech data remains a significant challenge in the development of robust speech emotion recognition systems. This paper presents a comprehensive investigation of the effectiveness of diverse data augmentation strategies for enhancing emotion recognition performance. Three different data augmentation categories were examined: audio-based transformations image-based modifications and feature-level synthesis. Seventeen transformations were used in audio-based data augmentation to change the time and frequency content of the raw audio signal. Eight transformations such as shifting rotating and zooming were applied to the spectrogram images for image-based data augmentation. The SpecAugment method was also used to transform the spectrograms into versions with masked time and frequency axes. In feature-space-based approaches new feature vectors were generated using five oversampling algorithms and a generative adversarial network. Experimental results from the EMO-DB and IEMOCAP datasets demonstrate that the data augmentation approaches enhance emotion classification performance by up to six percent. Empirical evidence indicates that training sets augmented through combinations of audio-based transformations yield the highest performance gains. In contrast the GAN-based approach fails to improve the classification performance. © 2025 Elsevier B.V. All rights reserved.
Citation - WoS: 4
Citation - Scopus: 4
A Comprehensive Evaluation of Yacht Charter Service Concept: Influence of Voyager-to-Voyager Interaction on Service Satisfaction
(GALENOS PUBL HOUSE, 2021) Neslihan Paker; Osman Gok; Paker, Neslihan; Gök, Osman
The study attempts to evaluate yacht charter service attributes considering the service quality customer satisfaction and loyalty three-leg framework. Besides visited destinations the service concept is enlarged with social servicescape dimensions of interaction quality and customer similarity for a holistic approach. A self-administered questionnaire was provided to 359 customers and the relationships in the research model were tested via structural equation modeling. The results showed that satisfaction depends on the interaction quality which is strongly related to the similarity between other customers as well as the quality of the service elements and the attractiveness of the visited destination. This study presents a pioneering research attempt focusing on the influence of customer-to-customer interaction and customer similarity on yacht charter services. Findings of the study provide a theoretical contribution highlighting the importance of customer-to-customer interaction for service appraisals of customers. Theoretical and practical implications for interaction-dominant services are discussed.
Citation - Scopus: 10
A comprehensive health economic analysis of the 2023 Turkey earthquake
(Cambridge University Press, 2023) Serpil Kahraman; Kahraman, Serpil
Earthquakes can have long-term devastating health and economic effects. On February 6 2023 Kahramanmaras located in Southern Turkey was hit by 7.7 and 7.6 magnitude earthquakes which affected 11 cities and about 15 million people. The World Health Organization (WHO) announced a Grade 3 Emergency requiring a major response because the health care delivery system was degraded and the health care supply chain disrupted. It is important to be prepared to implement policy actions immediately in such unpredictable events. This paper provides an overview of the economic and health status of the earthquake-affected area and the policy implications of the earthquakes to identify their effects and the region’s needs. The lessons learned can provide suggestions to strengthen disaster response mechanisms. The paper which reports one of the leading studies on the 2023 earthquake also contributes to the relatively limited health economics literature on the issue by taking a multidisciplinary approach. The results demonstrate that economic responses and health responses to an earthquake are inextricably linked. © 2023 Elsevier B.V. All rights reserved.
A Comprehensive Overview of Foreign Language Teachers' Professional Development: Self-directed and Institutional Professional Development Activities of English Teachers in Turkey
(Turkish Education Association, 2024) Çaǧri Özköse-Biyik; Oner Uslu; Bıyık, Çağrı Özköse; Uslu, Öner
When the literature on the professional development of English as a foreign language (EFL) teachers is examined professional development predominantly encompasses institutional activities. This study critically examines conventional definitions and practices related to the professional development of EFL teachers arguing that in line with the demands of the era teachers' professional development should also include self-directed individual activities. However for professional development activities to contribute to the ultimate goal of student learning it is important for the organizational culture in which teachers are situated to be supportive of their professional development. To seek answers to research questions about how the institutional and self-directed activities carried out by EFL teachers in Türkiye and the organizational culture influence these activities an exploratory sequential strategy was employed in the research. First qualitative data were collected and then quantitative data were collected through a survey tool developed based on the qualitative data. Comprehensive individual interviews were conducted with a total of 28 teachers across Turkey and survey data were collected from 819 teachers. The findings are presented as self-directed (unstructured) professional development activities (e.g. use of search engines reading news websites watching videos/series etc.) and institutional (structured) professional development activities (participation in national and international conferences etc.). The necessity of foreign language teachers being involved in many individual activities through self-direction beyond their participation in activities planned by institutions for the professional development of a foreign language teacher is discussed. The study proposes a comprehensive perspective on the concept of professional development related to EFL teachers and offers recommendations for the field of foreign language teacher education. © 2024 Elsevier B.V. All rights reserved.
Citation - WoS: 40
Citation - Scopus: 55
A Comprehensive Review of Feature Selection and Feature Selection Stability in Machine Learning
(GAZI UNIV, 2023) Mustafa Buyukkececi; Mehmet Cudi Okur; Buyukkececi, Mustafa; Okur, Mehmet Cudi
Feature selection is a dimension reduction technique used to select features that are relevant to machine learning tasks. Reducing the dataset size by eliminating redundant and irrelevant features plays a pivotal role in increasing the performance of machine learning algorithms speeding up the learning process and building simple models. The apparent need for feature selection has aroused considerable interest amongst researchers and has caused feature selection to find a wide range of application domains including text mining pattern recognition cybersecurity bioinformatics and big data. As a result over the years a substantial amount of literature has been published on feature selection and a wide variety of feature selection methods have been proposed. The quality of feature selection algorithms is measured not only by evaluating the quality of the models built using the features they select or by the clustering tendencies of the features they select but also by their stability. Therefore this study focused on feature selection and feature selection stability. In the pages that follow general concepts and methods of feature selection feature selection stability stability measures and reasons and solutions for instability are discussed.
Citation - WoS: 102
Citation - Scopus: 145
A conceptual framework for blockchain-based sustainable supply chain and evaluating implementation barriers: A case of the tea supply chain
(WILEY, 2022) Sachin Kumar Mangla; Yigit Kazancoglu; Abdullah Yildizbasi; Cihat Ozturk; Ahmet Calik; Calik, Ahmet; Yildizbasi, Abdullah; Ozturk, Cihat; Mangla, Sachin Kumar; Kazancoglu, Yigit
The increasing population and income inequality in the last decades have made it necessary to focus on the concept of sustainability. In the changing world order with economic crises instabilities pandemics and social media sustainability awareness differs significantly from past years. In addition developing new technologies and concepts (big data blockchain IoT robotic etc.) plays a crucial role in meeting social awareness in terms of sustainability. Food sustainability is also one of the most important pillars in this concept. The integration of new technologies in agriculture and food chains will enable the current world population to use resources more efficiently and sustainably. Blockchain one of the technologies that emerged with the arrival of Industry 4.0 is a technology that can be used effectively in many sectors. Particularly in supply chain networks it is seen as a technology that supports the sustainability concept due to its features such as decentralization reliability transparency consensus standards and traceability. However since blockchain is an immature and new technology there are some challenges with integrating it into existing conventional systems. This study aims to present a conceptual framework for the integration of blockchain technology to establish a sustainable tea supply chain define possible actions and prioritize the possible risks that may arise in this integration process, this will be done through the Spherical Fuzzy Analytic Hierarchy Process (SF-AHP) approach. In this context initially the current tea supply chain will be considered and the activities carried out will be defined in terms of technological environmental and strategic sustainability. Then the design that includes the integration of all activities with blockchain technology is presented. The proposed design covers the entire tea supply chain from end to end and is considered with regard to all sustainability dimensions. In the proposed framework barriers that may be encountered and risks that may arise at each stage of the tea supply chain process are identified, managerial implications are then presented to eliminate these risks. To enhance the use of the recommendations made risks and barriers are prioritized with SF-AHP management. Thus the problems that need to be solved primarily in the technological transformation process can be evaluated more clearly. The proposed theoretical framework is expected to extend to all agricultural practices and support technological advances throughout the agricultural sector.
Citation - WoS: 19
Citation - Scopus: 21
A critical review on classification and terminology of scissor structures
(Int. Association for Shell and Spatial Structures, 2019) Feray Maden; Yenal Akgün; Gökhan Kiper; Şebnem Gür; Müjde Yar; Koray Korkmaz; Korkmaz, Koray; Yar, MÜJde; Kiper, GÖKhan; Akgun, Yenal; Maden, Feray; Gur, Sebnem
When the existing literature on the research of scissor structures is thoroughly investigated it is seen that different researchers use different terminologies and classifications especially for the definition of the primary units and the motion type. Some of the studies define the whole geometry based on the geometric properties of the primary scissor units and the unit lines while some other studies define it according to the loops. All these studies use different names for similar elements. This article aims to review the literature on the classification and terminology of scissor structures and represent the state of art on the studies. Tables are represented showing all approaches in the literature. In addition the article criticizes the missing points of each terminology and definition and proposes some new terminology. In order to arrive at this aim different definitions of the primary scissor units and motion types used in key studies in the literature are investigated thoroughly. With several examples it is demonstrated that naming the scissor units according to the resulting motion type might be misleading and it is better to specify the motion type for the whole structure. A classification for transformation of planar curves is presented. © 2019 Elsevier B.V. All rights reserved.
Citation - WoS: 4
Citation - Scopus: 1
A desktop application to learn the actual workload of the students
(ELSEVIER SCIENCE BV, 2009) Tuncay Ercan; Ferhat Karaagac; Afsar Ethem Emekli; Ercan, Tuncay; Karaaǧaç, Ferhat; Emekli, Afşar Ethem; H Uzunboylu; N Cavus
The use of European Credit Transfer system (ECTS) provides a reference standard for exchange students across the European Union (EU). It helps more transparency and compatibility to compare the self-study period and performance of students from the different educational structures. However the implementation of ECTS and re-design of courses according to ECTS can be comparatively problematic in most countries. Teachers generally would like to learn the actual workload that is necessary to successfully complete the course(s) of the study program because this is a more realistic evaluation for the duration of study except the teaching time. In this study we describe the design and implementation of a Windows Vista sidebar gadget tool namely Helo Gadget. It runs like an instant messenger on the desktop and interactively collects data from the users. It periodically asks what the students are doing at that moment and saves the answers in the database. The statistics generated by the tool can be used to improve performance of the students and calculate the necessary course credits. The proposed tool enables teachers to monitor the activities of their own students and see these meaningful statistics of courses and students in a daily routine. (C) 2009 Elsevier Ltd. All rights reserved.
Citation - WoS: 56
Citation - Scopus: 63
A disassembly line balancing problem with fixed number of workstations
(Elsevier, 2016) Eda Göksoy Kalaycilar; Meral AzizoÇ§lu; Sencer Yeralan; Azizoglu, Meral; Kalaycilar, Eda Göksoy; Yeralan, Sencer; Azizoʇlu, Meral
In this study a Disassembly Line Balancing Problem with a fixed number of workstations is considered. The product to be disassembled comprises various components which are referred to as its parts. There is a specified finite supply of the product to be disassembled and specified minimum release quantities (possible zero) for each part of the product. All units of the product are identical however different parts can be released from different units of the product. There is a finite number of identical workstations that perform the necessary disassembly operations referred to as tasks. We present several upper and lower bounding procedures that assign the tasks to the workstations so as to maximize the total net revenue. The computational study has revealed that the procedures produce satisfactory results. © 2016 Elsevier B.V. All rights reserved.
Citation - WoS: 8
Citation - Scopus: 11
A Discrete Artificial Bee Colony Algorithm for the Energy-Efficient No-Wait Flowshop Scheduling Problem
(ELSEVIER SCIENCE BV, 2019) M. Fatih Tasgetiren; Damla Yuksel; Liang Gao; Quan-Ke Pan; Peigen Li; Yuksel, Damla; Tasgetiren, M. Fatih; Gao, Liang; Li, Peigen; Fatih Tasgetiren, M.; Pan, Quan-Ke; CH Dagli; GA Suer
No-wait permutation flow shop scheduling problem (NWPFSP) is a variant of permutation flow shop scheduling problem (PFSP) where the processing of each job must be continuous from start to end without any interruption. That is once a job starts its processing it has to be processed until the last machine without any interruption. The aim of this study is to propose an energy-efficient NWPFSP for the determination of a trade-off between total flow time and total energy consumption by obtaining the Pareto optimal set that is the non-dominated solution set. A bi-objective mixed-integer programming model is developed where the machines can operate at different speed levels. Since the problem is NP-complete an energy-efficient discrete artificial bee colony (DABC) and an energy-efficient genetic algorithm (MOGA) also a variant of this algorithm (MOGALS) are developed as heuristic methods. First the performance of these algorithms for comparison with the mathematical model is represented in small size instances in the scope of cardinality and quality of the non-dominated solutions then it is shown that DABC performs better than two other algorithms in larger instances. (C) 2019 The Authors. Published by Elsevier Ltd.
Citation - WoS: 15
Citation - Scopus: 22
A discrete event simulation procedure for validating programs of requirements: The case of hospital space planning
(ELSEVIER, 2020) Cemre Cubukcuoglu; Pirouz Nourian; I. Sevil Sariyildiz; M. Fatih Tasgetiren; Nourian, Pirouz; Tasgetiren, M. Fatih; Sariyildiz, I. Sevil; Cubukcuoglu, Cemre
This paper introduces a Discrete-Event Simulation (DES) tool developed as a parametric CAD program for validating a program of requirements (PoR) for hospital space planning. The DES model simulates the procedures of processing of patients treated by doctors calculating patient throughput and patient waiting times based on the number of doctors patient arrivals and treatment times. In addition the tool is capable of defining space requirements by taking hospital design standards into account. Using this tool what-if scenarios and assumptions on the PoR about space planning can be tested and/or validated. The tool is ultimately meant for reducing patient waiting times and/or increasing patient throughput by checking the match of the layout of a hospital with respect to its procedural operations. This tool is envisaged to grow into a toolkit providing a methodological framework for bringing Operations Research into Architectural Space Planning. The tool is implemented in Python for Grasshopper (GH) a plugin of Rhinoceros CAD software using the SimPy library. (C) 2020 The Authors. Published by Elsevier B.V.
Citation - WoS: 2
Citation - Scopus: 3
A dynamic functional model of diode bridge rectifier for unbalanced input voltage conditions
(John Wiley and Sons Inc, 2021) Adel Deriszadeh; Orkun Karabasoglu; Martin P. Ćalasan; Farnaz Mehdipour; Deriszadeh, Adel; Karabasoglu, Orkun; Calasan, Martin P.; Mehdipour, Farnaz
Diode bridge rectifiers are employed in many industrial applications wherein under practical operating conditions input voltages can be occasionally or inherently unbalanced. Using the switching function method this paper proposes a new accurate functional model of the diode bridge rectifier capable of dealing with unbalanced input voltage conditions. To take all degrees of unbalanced conditions into account this paper introduces uneven commutation intervals phenomenon between diodes occurring under unbalanced voltage conditions and proposes dynamically updating switching functions. © 2021 Elsevier B.V. All rights reserved.
Citation - WoS: 16
Citation - Scopus: 17
A fixed point theorem on soft G-metric spaces
(INT SCIENTIFIC RESEARCH PUBLICATIONS, 2016) Aysegul Caksu Guler; Esra Dalan Yildirim; Oya Bedre Ozbakir; Yildirim, Esra Dalan; Guler, Aysegul Caksu; Ozbakir, Oya Bedre
We introduce soft G-metric spaces via soft element. Then we obtain soft convergence and soft continuity by using soft G-metric. Also we prove a fixed point theorem for mappings satisfying sufficient conditions in soft G-metric spaces. (C)2016 All rights reserved.

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