WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8653
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Article Random Vibration Analysis of Nuclear Power Plant Structures(Elsevier Science Sa, 2026) Dal, Gizem Caglar; Soyluk, Kurtulus; Çağlar Dal, GizemIn this study, random vibration analysis of a nuclear power plant building under earthquake loading is performed based on a large-magnitude earthquake of Kobe 1995. A typical nuclear power plant structure widely used in China is selected as a numerical model and modeled as a 3D system. Within the scope of the study, random vibration and deterministic analyses were performed on firm, medium, and soft soils to determine the effects of earthquake motions on nuclear power plant systems. In the study, the theory of random vibration analysis based on the filtered white noise (FWN) ground motion model was utilized and it was intended to determine to what extent the FWN model reflects the real earthquake motion. In addition to soil type, the considered power plant system is analyzed for the ground motions showing near-fault and far-fault characteristics. As a result of the study, it is concluded that the FWN ground motion model used to model earthquake ground motion can be used to consider the effect of real earthquakes. It is also underlined that differences in soil type, fault type and analysis methods affect the results for the considered nuclear power plant structure.Article Improving Last-Mile Delivery in Humanitarian Logistics by Solving a Two-Echelon Routing Problem with Portering and Infrastructure Disruptions(Springer India, 2026) Mutlu, Ismail Nurullah; Togrul, Ergul Kisa; Kazanc, H. Cansin Uzgoren; Kilic, Kaan; Soysal, Mehmet; Uzgören Kazanç, H. Cansın; Kısa Toğrul, ErgülOver time, catastrophes have increasingly caused significant material and human losses. Effective logistics management in humanitarian aid is crucial to minimizing these impacts. Infrastructure damage from disasters introduces uncertainties that must be considered when routing trucks for relief item delivery. This study proposes a Mixed Integer Programming model for the Two-Echelon Vehicle Routing Problem in Humanitarian Aid Logistics (2E-VRP-HAL) to minimize total travel time. An earthquake scenario in Kartal, Istanbul is used to demonstrate the model's accuracy and applicability while accounting for road closures. A diverse fleet, including trucks and pedestrians, addresses delivery challenges, with handover stations enabling access to unreachable areas. To address larger problem instances, a set partitioning approach is used to cluster demand points, followed by a MIP-based local search heuristic to refine the results. Numerical analysis shows up to 15.83% improvement in medium-sized instances and feasible results for larger cases where the model struggles. These findings highlight the potential of proposed decision support methods.Article Transmittance of Gaussian Beam in Anisotropic Jet Engine Exhaust Turbulence(Pergamon-Elsevier Science Ltd, 2026) Baykal, YahyaTransmittance is a metric that provides information on how much of the intensity is transferred to the receiver for a given medium. One of the definitions of transmittance is the ratio of the average received intensity in the presence of turbulence to the received intensity in the absence of turbulence. Under such definition, transmittance is found in an anisotropic jet engine exhaust turbulent environment. For various receiver points, transmittances versus the wireless optical communication (WOC) link and anisotropic jet engine exhaust turbulence parameters are presented. The results are useful for designers of WOC links that are installed in the premises such as the airports that possess jet engine exhaust turbulence.Book Part A Study of the Thorp Green Poems of Anne Bronte: Poetic Artistry as a Cure for Her Nostalgia(Vernon Press, 2025) Sonmez-Demir, YagmurAmong the Bronte Sisters, Anne Bronte is the least studied, and the bulk of literary scholarship is on her novels. Most of the critics agree on the fact that her literary production is autobiographical. Taking my cue from the existing scholarship on Anne Bronte, I will study the poems Anne wrote when she was employed as a governess in Thorp Green by the Robinsons between 1840 and 1845. Highly influenced by the romantic poets preceding her, she shared her emotions in her poems. As her biographers (Gerin, Chitham, Langland) also noted, she felt excluded and lonely, especially at the start of her employment in Thorp Green, and she was able to visit her family only on Christmas and two weeks in June each year, which led her to develop a longing for her home and her family. An exhaustive study of her Thorp Green poems displays that she dislikes being there, experiences homesickness, and longs for the past days. With the exception of Gondal and religious poems written at that time span, she expresses her loneliness, solitude, and feelings of melancholy in the poems. When her homesickness heightened, she found solace in her memories and turned her feelings of longing into poetic creation. She either draws on her memories about her home in Haworth or uses objects in nature, such as a flower or a scenery as memorative signs to trigger her memories. According to sociologist Svetlana Boym, nostalgia can be "a poetic creation, an individual mechanism of survival, a countercultural practice, a poison, or a cure" (Boym 18). In this study, I will read Anne Bronte's Thorp Green Poems through the prism of theories of nostalgia, and argue that she wrote poems in order to deal with her nostalgia, for which her poetic creation becomes a cure.Conference Object Software Standards in Action: A Complaint-Driven Game Inspired by Real Project Failures(Fac Organization and Informatics, University Zagreb, 2025) Tunc, Sevgi KoyuncuComplaint to Compliance is a classroom-based game teaching ISO/IEC/IEEE 12207 standards through real-world complaint-driven scenarios. Grounded in experiential learning, its low-tech, card-based design fosters active learning via guided discussion. A qualitative case study (n=21) analyzed student perceptions, revealing: (1) conceptual bridging of theory and practice, (2) professional identity development, and (3) enhanced engagement through gamification. The accessible design offers a scalable model for standards education. Preliminary findings suggest pedagogical value for information systems education, with further cross-cultural validation needed.Article A Generalization of Fixed Point Result of Nonlinear Cirić Type Contraction on Suprametric Spaces(Univ Nis, Fac Sci Math, 2025) Yalcin, Ceylan; Bilazeroglu, SeymaIn this study, the nonlinear technique: (psi,phi)-weak contraction, created by Dutta and Choudhury [6], is used to make the Ciric type contraction nonlinear. Moreover, it is demonstrated that there is unique fixed point in suprametric space for this nonlinear Ciric type contraction.Conference Object Covariance Features for Trajectory Analysis(IEEE, 2016) Karadeniz, Talha; Maras, Hadi HakanIn this work, we aimed to demonstrate that covariance estimation methods can be used for trajectory classification. We have shown that, features obtained via shrunk covariance estimation are suitable for describing trajectories. We have arrived to the conclusion that, when compared to Dynamic Time Warping, the explained technique is faster and may yield more accurate results.Conference Object The Implementation of a Successive Cancellation Polar Decoder on Xilinx System Generator(Institute of Electrical and Electronics Engineers Inc., 2017) Arli, A.Ç.; Colak, A.; Gazi, O.Polar coding is the first kind of the capacity achieving codes which are defined for binary-input discrete memoryless channels initially. Parallel processing property of the FPGA allows to decode faster with a margin of complexity. Xilinx System Generator as a practical tool to construct decoding designs in shorter time is a fact. In this study, FPGA implementation of decoding polar codes through Xilinx System Generator is shown. © 2023 Elsevier B.V., All rights reserved.Conference Object Model Enhancement for UAV Stealth in X-Band(Institute of Electrical and Electronics Engineers Inc., 2025) Unalir, Dizdar; Yalcinkaya, Bengisu; Aydin, ElifWith the rapid advancement of technology, radar detection techniques continue to evolve, challenging the effectiveness of traditional unmanned aerial vehicles (UAVs) stealth techniques. As the usage of UAVs in military applications expands, the need for effective radar cross section reduction (RCSR) methods to enhance their stealth capabilities has grown significantly. In this study, we propose an enhancement of a previously developed Low-RCS UAV model, focusing on RCSR with shaping technique in the X-band. For the identification and optimization of the UAV model’s highly reflective components, a detailed simulative analysis of the RCS was performed using CST Studio Suite Environment. The modifications are applied to the body and leg components to minimize radar reflections. Simulation results demonstrated that the proposed enhancements significantly reduced RCS values compared to the original Low-RCS UAV model. A total of 13 dBsm reduction in RCS was observed compared to the traditional UAV models. Comparative analysis for different frequencies in X-Band and various aspect angles confirmed the effectiveness of the improved design, validating its potential for stealth applications. The findings can contribute to the research in UAV stealth technology and provide insights into future low-visibility UAV designs. © 2025 Elsevier B.V., All rights reserved.Conference Object AviBERT: Transformer Tabanlı Hava Aracı Metni Sınıflandırma(Institute of Electrical and Electronics Engineers Inc., 2025) Unal, Muhammed Cihat; Yurtalan, Gokhan; Karatas, Yahya Bahadir; Karamanlioglu, Alper; Demirel, BerkanIn recent years, transformer-based models pre-trained on extensive corpora have played a critical role in the advancement of Natural Language Processing methodologies. Particularly, methods based on BERT have demonstrated remarkable performance across various tasks by offering robust capabilities in deeply understanding texts semantically. However, despite these advancements, there is a notable scarcity of studies applying these technologies in the aviation sector. This paper develops a multi-class classification model for aviation-specific texts using variants of BERT. The study encompasses the processes of collecting web content related to aircraft, labeling and model training. The details of the dataset are explained and the outcomes of the study are assessed based on the macro F1-score and accuracy of different models. © 2025 Elsevier B.V., All rights reserved.