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Conference Object Mean Radiant Temperature Sensing: Comparison of Methods for a Non-Uniform Radiant Floor Heating(Springer Science and Business Media Deutschland GmbH, 2026) Özbey, M.F.; Licina, D.; Meggers, F.; Khovalyg, D.Non-uniform radiant floor heating is increasingly explored for improving localized and personalized thermal comfort. Accurate mean radiant temperature (Tr) measurement is crucial due to its separation from air temperature (Ta) unlike convective systems. This study evaluates the accuracy of Tr obtained using the globe thermometer versus a novel mini.RES cube sensor and examines the differences between Ta and Tr in non-uniform heating environments. Experiments were conducted in a 62 m3 climatic chamber in Fribourg, Switzerland, with four cases: one without heating, two with non-uniform heating to simulate radiant asymmetry, and one with uniform heating for comparison. Additionally, an uncertainty analysis was performed to evaluate measurement precision for the Tr measurements using the globe thermometer. The results indicate that the globe thermometer method can introduce errors of up to 4% in determining the Tr. Moreover, the uncertainty values for the Tr values were found between 1.60 ℃ and 2.31 ℃. In cases with non-uniform heating available, the Tr was found to vary by more than 2 ℃ than the Ta, highlighting the need to consider Tr separately when assessing thermal comfort. These findings emphasize the error of obtaining the Tr with globe thermometer and the difference between Tr and Ta in non-uniform heating scenarios. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.Conference Object Queue Management Systems in Airport Management: Enhancing Passenger Flow and Operational Efficiency(Springer Science and Business Media Deutschland GmbH, 2026) Erkan, T.E.; Ozdemir, M.F.Queue management systems (QMS) streamline airport operations by determining travel patterns that help manage the passenger flow, reducing wait times, and enhancing operational efficiency. They help optimize queue configurations by real-time data analytics and employing algorithms, working to guide passengers efficiently through the place for check-in, security clearance, and boarding. It leads to a much more pleasant time for the passengers while ensuring better resource utilization and operational planning. This Paper investigates a new queue management system that utilizes advanced technologies like artificial intelligence and real-time data analytics. Such systems enable monitoring of passenger flocking and behavior for adjustability concerning the length of queues and the optimization of service times. The result is an enhanced travel experience and improved airport operational efficiency. The paper takes Singapore Changi Airport as a case study to aid the understanding of how effective management of queues can lead to effective Rose operational efficiency. These findings show that airports can significantly reduce passenger wait times using advanced queue management technologies and enhance the travel experience while facilitating operations. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.Conference Object Citation - Scopus: 1An Investigation of the Effect of Free-Players on Global Cooperative Behavior in a Spatial Prisoner’s Dilemma Game Environment(Springer Science and Business Media Deutschland GmbH, 2025) Efe, B.; Çerkez, E.; Kılıç, H.In this research, we introduced the concept of Free-Player who rejects to play the dictated rational strategy Defect of the original Prisoner’s Dilemma game setup. Then, we investigated whether Free-Players have any impact on the persistent and stable cooperative behavior of the Players in the context of two dimensional spatial Prisoner’s Dilemma game environment. In simulations, two different Player strategy update setups are considered: State-based Majority and Payoff-driven Stochastic. The results for both setups showed that Free-Players have impact on global cooperative behavior of the system. According to the obtained State-based Majority setup results, the increased number of Free-Players has no direct regulative impact on the control of global cooperative behavior of the proposed system. For the Payoff-driven Stochastic strategy update setup, the increased number of Free-Players has an observable regulative impact on the control of global cooperative behavior of the proposed system. However, the net effect of Free-Players on the cooperativeness of the environment was only in the range 0.007 < Net_Coop(α, β) < 0.036 while the attained cooperation ratio results are mostly not sensitive to the initial cooperation ratios. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.Conference Object Comparison of Field Survey-Based Macroseismic Intensity Map and Numerical Macroseismic Intensity Maps Using Mars and Multiple Regression Methods for 6th of February 2023 Kahramanmaraş Earthquakes(Springer Science and Business Media Deutschland GmbH, 2024) Albayrak, Kubilay; Askan, Aysegul; Yerlikaya-Ozkurt, FatmaEarthquakes are natural events that cause damage to built environments by the instant seismic energy release. This energy is measured by instrumental devices to obtain the peak ground motion parameters such as Peak Ground Acceleration (PGA) and Peak Ground Velocity (PGV). Additional measurements based on the questionnaires after the earthquakes are required to identify the felt or macro seismic intensity levels. These measurements are crucial to identify the total effects of earthquakes over not only an area but also for the spatial distribution of ground motion parameters. For this purpose, it is important to study the multi-variable criteria correlations between ground motion parameters and Modified Mercalli Intensity (MMI) levels based on linear relationships of predictor variable couples. In this regard, the Multivariate Adaptive Regression Splines (MARS) Method and the Multiple Linear Regression Method are used. The entire dataset is composed of 69 earthquakes between 2005 and 2022 with 2171 ground motion parameters coupled with MMI levels. For MMI-based correlations, the MARS method is used to identify the non-linearities between predictor variables by piecewise linear functions, but for the Multiple Linear Regression Method, the least correlated variables of PGA-Epicentral Distance and PGV-Epicentral Distance are used to obtain the relationship between MMI and PGM parameters. The resulting equations obtained for the entire Turkiye database are performed to identify MMI maps of the 6th of February 2023, Kahramanmaras Earthquakes, and these maps are used to check the accuracy of the results by the comparison of field survey-based MMI maps. Finally, the numerical MMI maps are found to be consistent with the field survey-based MMI maps.Editorial Preface(Springer Science and Business Media Deutschland GmbH, 2022) Peng,Z.; Hwang,J.-Y.; White,J.F.; Downey,J.P.; Gregurek,D.; Zhao,B.; Mahmoud,M.M.[No abstract available]
