Bursa Teknik Üniversitesi Kurumsal Akademik Arşivi
DSpace@BTÜ, Bursa Teknik Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
A Thorough Investigation Into the ENF Reconstruction in Videos Exposed by Rolling Shutter
(Ieee-Inst Electrical Electronics Engineers Inc, 2023) Vatansever, Saffet
In electric network frequency (ENF)-based video forensics, the analysis of videos captured by rolling shutter systems, where each row of a frame is exposed at different time instances, is critical. To gain the advantage of increased sampling frequency in these videos, in contrast to those captured by the global shutter where an entire frame is exposed at a time, the ENF-related luminance signal that is essential for ENF estimation is built by concatenating ENF-related luminance estimates across consecutive frames. However, this approach brings about some issues or phenomena owing to an idle period at the end of each frame. First, the ENF harmonics may be replaced by new ENF components and attenuated, thereby affecting the reliability of the ENF estimates from these videos. Another critical phenomenon is ENF reversal, which is yet to receive much research. This study comprehensively investigates this phenomenon to explore how and under what conditions the ENF is reversed. Further investigations led this study to examine how the ENF in the emerging components is mainly reconstructed from multiple ENF-related luminance harmonics, depending on the idle period. This helps identify reliable ENF components from which the ENF signal can be accurately estimated. In addition, it reveals the optimal idle periods for any ENF component. Using this outcome, this study also proposes a technique to enhance the effectiveness of an ENF component based on idle period modification. The experimental results show that the proposed method may boost the efficiency of an unreliable ENF component, outperforming the existing techniques.
An alternative assessment for transit-oriented developments (TODs) with land use/land cover (LULC)
(Springer, 2023) Yildirim, Yalcin; Akin, Anil
Cities experience rapid growth, and various drivers shape this growth. Notably, developing countries experience challenges on land use and transportation conflict. The idea of transit-oriented developments (TODs) is a solution for this concern of urbanization while there is no consensus on defining and identifying them. This study concentrated on the dynamics of land use/land cover (LULC) effects on transit-oriented developments (TODs) by utilizing light rail stations from a metropolitan area in Turkey, as this is the first attempt in this geography. Spatial data covers of high-resolution Sentinel 2A remotely sensed data and Google Earth images acquired in 2021. The study performed the analyses within a 500-m light rail train station buffer. The results reveal that TODs include more urbanized, open space, street connection, commercials, and dense population as expected from the TOD concept. Local officials, practitioners, and developers should be involved with the TOD implementation and policy phases to establish tangible developments in urbanization.
From Low Engagement to High Engagement: Explaining Turkey's Changing Engagement in the Middle East during the JDP Period
(Hale Sivgin, 2022) Akdogan, Ismail; Polat, Furkan
Why did Turkey shift its Middle East policy from soft power oriented approach to the security oriented one in the early zolos? While Turkey prioritized diplomatic, commercial and economic relations during the first decade of the 2000s, it has increasingly used military means to influence the Middle East since 2011. The primary objective of this study is to ascertain the reasons behind this widely debated question in Turkish foreign policy literature. Unlike existing explanations, the main argument of the study is that the U.S. grand strategy towards Middle East appears as the most important causal factor shaping the nature of Turkey's engagement in its region.
An iterated greedy algorithm for the planning of yarn-dyeing boilers
(Wiley, 2024) Demir, Yunus
Yarn dyeing is a critical link in the textile production chain that consumes the most time and energy. Today's dyeing shops receive hundreds of demands with thousands of different colors, different due dates, and different production requirements. This situation has made it very difficult for the human brain to create a minimum-cost production plan by complying with the due dates. In this study, a real-life problem of a company operating in the textile industry is discussed and a solution has been developed for the planning of yarn-dyeing boilers. The application was held in Bursali Textile, which is the major towel manufacturer operating in Turkey. The problem dealt with is basically in the nature of the variable-size bin-packing problem (VSBPP). The limited availability of bins (boilers) of different sizes and the packing of the items (yarn work orders) with due date constraints are the original aspects of this study. Multi-objective mixed integer programming model is developed to minimize two objectives. For the solution, the preemptive method called the lexicographic approach, in which the objectives are solved in order, is preferred. As the first objective, the overcapacity usage is minimized and then the second objective, which is the boiler usage cost, is minimized. Given that the VSBPP is strongly NP-hard, an iterated greedy algorithm with two different decoding approaches is proposed. Computational experiments were conducted on 20 randomly generated benchmark instances and a real-world industrial dataset. The numerical results show that good solutions can be obtained in seconds using the proposed approaches.
Linguistic Su-Field engineering: Turkish sentence patterns and TRIZ standard solutions for semantic repair
(Emerald Group Publishing Ltd, 2026) Altun, Koray
PurposeThis study introduces Linguistic Su-Field Engineering, a TRIZ-based approach for diagnosing and repairing semantic inconsistencies in Turkish sentences. By applying Su-Field logic to natural language, the study proposes a functional bridge between engineering problem solving and linguistic clarity enhancement.Design/methodology/approachTurkish sentences were modeled as functional systems composed of subject (S1), action (F) and object (S2), reflecting Su-Field structures rather than Turkish SOV syntax. Thirty-five linguistic Su-Field patterns were derived from common ambiguity types and paired with relevant TRIZ Standard Solutions. A quasi-experimental study with 20 non-native learners compared comprehension of original versus TRIZ-repaired text passages. Improvements were evaluated using the Wilcoxon signed-rank test.FindingsTRIZ-repaired sentences yielded statistically significant gains in comprehension and perceived clarity. Learners reported that the explicit functional roles and clarified interactions reduced cognitive load and improved interpretability. The results indicate that TRIZ-based semantic repair enhances sentence-level coherence and instructional usefulness.Research limitations/implicationsAlthough evaluated on Turkish, the method is applicable to other morphologically rich and structurally flexible languages, providing a conceptual foundation for future rule-based and interpretable NLP tools.Originality/valueTo the best of the authors knowledge, the study is the first to integrate Su-Field logic into natural language systems, offering a transparent and interpretable mechanism for semantic repair. It extends TRIZ beyond engineering applications toward linguistic analysis and explainable NLP.
