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, 2023-07-11) 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.
A Bibliometric Analysis on Bio-Inspired Responsive Facades
(Gazi Univ, 2025-12-01) Bilmez, Busra; Maden, Feray
The implementation of responsive facades offers a promising strategy for reducing operational energy use while enhancing indoor comfort. These facades dynamically adjust their configurations, mirroring adaptive behaviors observed in living organisms. The bio-inspired responsive facade approach integrates principles from biomimicry and responsive architecture to develop systems that react intelligently to environmental stimuli. This study aims to analyze existing literature to identify key developments and trends in bio-inspired responsive facades. The research is conducted in three main phases. First, the study establishes its conceptual framework. Second, a comprehensive bibliometric analysis is conducted using the Web of Science database, employing science mapping techniques via VOSviewer and the Bibliometrix R package. This analysis uncovers major trends, turning points, influential authors, leading journals, and significant conferences, offering a clear overview of the research landscape. In the third phase, 33 facade designs are selected from 141 identified publications for comparative analysis. Each design is examined based on material, control systems, movement mechanisms, and functional objectives. The review explores their natural inspirations, responsive stimuli, and material strategies to derive insights for future innovation. Results reveal that 45% of designs focus on improving thermal comfort in hot climates, often utilizing active systems or smart materials. Folding and rotating mechanisms are the most common modes of movement. However, only five designs progress beyond the conceptual phase, highlighting the need for practical implementation. By mapping the evaluation of this interdisciplinary field, the study establishes a systematic foundation for advancing bio-inspired responsive facade research.
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: 36
Citation - Scopus: 26
A circular food supply chain network model to reduce food waste
(Springer, 2022-05-09) 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: 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 - 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, 2024-07-30) 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: 102
Citation - Scopus: 147
A conceptual framework for blockchain-based sustainable supply chain and evaluating implementation barriers: A case of the tea supply chain
(WILEY, 2022-03-23) 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: 20
Citation - Scopus: 21
A critical review on classification and terminology of scissor structures
(Int. Association for Shell and Spatial Structures, 2019-03-01) 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: 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: 17
Citation - Scopus: 17
A fixed point theorem on soft G-metric spaces
(INT SCIENTIFIC RESEARCH PUBLICATIONS, 2016-03-25) 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.
Citation - Scopus: 10
A genetic algorithm to solve the multidimensional Knapsack problem
(Association for Scientific Research membranes@mdpi.com, 2013-12-01) Murat Erşen Berberler; Asli Guler; Urfat Nuriyev; Berberler, Murat Ersen; Guler, Asli; Nuriyev, Urfat G.
In this paper The Multidimensional Knapsack Problem (MKP) which occurs in many different applications is studied and a genetic algorithm to solve the MKP is proposed. Unlike the technique of the classical genetic algorithm initial population is not randomly generated in the proposed algorithm thus the solution space is scanned more efficiently. Moreover the algorithm is written in C programming language and is tested on randomly generated instances. It is seen that the algorithm yields optimal solutions for all instances. © 2020 Elsevier B.V. All rights reserved.
Citation - WoS: 348
Citation - Scopus: 420
A key review of building integrated photovoltaic (BIPV) systems
(Elsevier B.V., 2017-06) Emrah Biyik; Mustafa Araz; A. Hepbasli; Mehdi Shahrestani; Runming Yao; Li Shao; Emmanuel A. Essah; Armando Coelho Oliveira; Teodosio del Caño; Elena Rico; Shahrestani, Mehdi; Hepbasli, Arif; Biyik, Emrah; Yao, Runming; Shao, Li; Araz, Mustafa; Atli, Yusuf Baver
Renewable and sustainable energy generation technologies have been in the forefront due to concerns related to environment energy independence and high fossil fuel costs. As part of the EU's 2020 targets it is aimed to reach a 20% share of renewable energy sources in final energy consumption by 2020 according to EU's renewable energy directive. Within this context national renewable energy targets were set for each EU country ranging between 10% (for Malta) and 49% (for Sweden). A large share of renewable energy research has been devoted to photovoltaic systems which harness the solar energy to generate electrical power. As an application of the PV technology building integrated photovoltaic (BIPV) systems have attracted an increasing interest in the past decade and have been shown as a feasible renewable power generation technology to help buildings partially meet their load. In addition to BIPV building integrated photovoltaic/thermal systems (BIPV/T) provide a very good potential for integration into the building to supply both electrical and thermal loads. In this study we comprehensively reviewed the BIPV and BIPVT applications in terms of energy generation amount nominal power efficiency type and performance assessment approaches. The two fundamental research areas in the BIPV and BIPVT systems are observed to be i) improvements on system efficiency by ventilation hence obtaining a higher yield with lowering the panel temperature ii) new thin film technologies that are well suited for building integration. Several approaches to achieve these objectives are reported in the literature as presented in this paper. It is expected that this comprehensive review will be beneficial to researchers and practitioners involved or interested in the design analysis simulation and performance evaluation financial development and incentives new methods and trends of BIPV systems. © 2018 Elsevier B.V. All rights reserved.
Citation - Scopus: 2
A Long-term Period Performance Assessment of a Building Integrated Photovoltaic System
(EDP Sciences, 2019) Mustafa Araz; Emrah Biyikt; A. Hepbasli; Hepbasli, Arif; Araz, Mustafa; Biyikt, Emrah; N. Caetano
Building Integrated Photovoltaic (BIPV) systems can be defined as PV modules which can be integrated in building's envelope by replacing conventional building materials such as windows tiles etc. and have an impact on the functionality of the buildings. Considering the huge share (40%) of buildings in total energy consumption and nearly zero-energy building target of the European Union (EU) BIPV systems present a sustainable solution and have gained increased interest in last years. In this study the performance of a BIPV system which was installed on Feb. 8 2016 on the façade of a campus building at Yasar University Izmir Turkey within the framework a EU/FP7 project and has a capacity of 7.44 kWp is evaluated for a three-year period using first and second laws of thermodynamics. Within this context real (experimental) monthly and yearly electricity productions are determined and compared with the results obtained from the simulations. Energy and exergy efficiencies and performance ratios of the system are also calculated based on the cell and total areas. © 2019 Elsevier B.V. All rights reserved.
Citation - WoS: 5
Citation - Scopus: 7
A Memetic Algorithm for the Bi-Objective Quadratic Assignment Problem
(ELSEVIER SCIENCE BV, 2019) Cemre Cubukcuoglu; M. Fatih Tasgetiren; I. Sevil Sariyildiz; Liang Gao; Murat Kucukvar; Tasgetiren, M. Fatih; Kucukvar, Murat; Sariyildiz, I. Sevil; Fatih Tasgetiren, M.; Cubukcuoglu, Cemre; Sevil Sariyildiz, I.; Gao, Liang; CH Dagli; GA Suer
Recently multi-objective evolutionary algorithms (MOEAs) have been extensively used to solve multi-objective optimization problems (MOPs) since they have the ability to approximate a set of non-dominated solutions in reasonable CPU times. In this paper we consider the bi-objective quadratic assignment problem (bQAP) which is a variant of the classical QAP which has been extensively investigated to solve several real-life problems. The bQAP can be defined as having many input flows with the same distances between the facilities causing multiple cost functions that must be optimized simultaneously. In this study we propose a memetic algorithm with effective local search and mutation operators to solve the bQAP. Local search is based on swap neighborhood structure whereas the mutation operator is based on ruin and recreate procedure. The experimental results show that our bi-objective memetic algorithm (BOMA) substantially outperforms all the island-based variants of the PASMOQAP algorithm proposed very recently in the literature. (C) 2019 The Authors. Published by Elsevier Ltd.
Citation - WoS: 58
Citation - Scopus: 63
A method of strategic evaluation of energy performance of Building Integrated Photovoltaic in the urban context
(ELSEVIER SCI LTD, 2018-05) V. Costanzo; R. Yao; E. Essah; L. Shao; M. Shahrestani; A. C. Oliveira; M. Araz; A. Hepbasli; E. Biyik; Essah, E.; Shahrestani, M.; Yao, R.; Biyik, E.; Shao, L.; Costanzo, V.; Oliveira, A. C.
This paper presents an integrated bottom-up approach aimed at helping those dealing with strategical analysis of installation of Building Integrated Photo Voltaic (BIPV) to estimate the electricity production potential along with the energy needs of urban buildings at the district scale. On the demand side hourly energy profiles are generated using dynamic building simulation taking into account actual urban morphologies. On the supply side electricity generated from the system is predicted considering both the direct and indirect components of solar radiation as well as local climate variables. Python-based Algorithm editor Grasshopper is used to interlink four types of modelling and simulation tools as 1) generation of 3-D model 2) solar radiation analysis 3) formatting weather files (TMY data set) and 4) dynamic energy demand. The method has been demonstrated for a cluster of 20 buildings located in the Yasar University in Izmir (Turkey) for which it is found the BIPV system could achieve an annual renewable share of 23% in line with the Renewable Energy Directive target of 20%. Quantitatively compared demand and supply information at hourly time step shows that only some energy needs can be met by BIPV so there is a need for an appropriate matching strategy to better exploit the renewable energy potential. (C) 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license.
Citation - Scopus: 4
A model of distributed key generation for industrial control systems
(IFAC Secretariat Schlossplatz 12 A-2361 Laxenburg A-2361, 2012) Görkem Kılınç Soylu; Igor Nai-Fovino; Carlo Ferigato; Ahmet Hasan Koltuksuz; Fovino, Igor Nai; Kilinc, Gorkem; Ferigato, Carlo; Koltuksuz, Ahmet
The cyber-security of industrial control systems (ICS) is gaining high relevance due to the impact of industrial system failures on the citizen life. There is an urgent need for the consideration of security in their design and for the analysis of the related vulnerabilities and potential threats. The high exposure of industrial critical infrastructure to cyber-threats is mainly due to the intrinsic weakness of the communication protocols used to control the process network. The peculiarities of the industrial protocols (low computational power large geographical distribution near to real-time constraints) make hard the effective use of traditional cryptographic schemes and in particular the implementation of an effective key management infrastructure supporting a cryptographic layer. In this paper we describe a "model of distributed key generation for industrial control systems" we have recently implemented. The model is based on a known Distributed Key Generator protocol we have adapted to an industrial control system environment and to the related communication protocol (Modbus). To validate in a formal way selected security properties of the model we introduced a Petri Nets representation. This representation allows for modeling attacks against the protocol and understanding some potential weaknesses of its implementation in the industrial control system environment. © 2018 Elsevier B.V. All rights reserved.
A Multi-objective Approach to Flight Scheduling and Fleet Assignment in Hub Network
(Springer, 2025) Melis Tan Tacoglu; Mustafa Arslan Ornek; Cemalettin Öztürk; Ornek, Mustafa Arslan; Ozturk, Cemalettin; Tacoglu, Melis Tan
The hub-and-spoke (HS) network is a widely used business strategy by airlines to optimize their operations and increase their reach by connecting multiple destinations through a central hub and the majority of the passengers are transit passengers. The airline schedule planning process starts with the flight scheduling problem (FSP) to generate a timetable in advance of six months. Then the fleet assignment problem (FAP) is examined to determine aircraft types. This sequential solution approach causes suboptimal solutions and the schedule must be adjusted to increased demand. Due to the complexity of this problem this study focuses specifically on incremental schedule design with one hub two-flight leg network. This study presents a Multi-Objective Mixed Integer Programming Model for integrated FSP and FAP to adjust the generated timetable with launching new flights. Two solution approaches are proposed to decide the new proposed flight’s time aircraft type and passenger assignment: the Weighted Goal Programming Model (WGPM) and the Lexicographic Goal Programming Model (LGPM). This study shows that there is a conflicting relationship between cost and C02 emissions in the flight scheduling process. If carbon dioxide emissions are prioritized airlines need to schedule more flights with small-capacity aircraft. © 2025 Elsevier B.V. All rights reserved.

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