Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Conference Object Optimizing Integrated Shading Device and Light Shelf for Daylight Performance and Visual Comfort in Architecture Studio(Institute of Electrical and Electronics Engineers Inc., 2024) Avci, P.; Ekici, B.; Kazanasmaz, Z.T.To provide a sustainable interior, it is essential to consider visual comfort and energy efficiency for the occupants' well-being. Daylight is crucial in providing visual comfort while proposing energy-efficient design alternatives. Using daylight as a primary source is one of the most crucial strategies. However, controlling daylight for unwanted situations such as discomfort glare is important. There have been several research studies on daylighting, visual comfort, and shading techniques. Shading devices are façade configurations to control daylight, while light shelves distribute daylight evenly through the space. There are two types of classifications for shading devices: adaptive ones and non-adaptive ones. Numerous research studies have been conducted on daylighting, energy consumption, occupancy performance, and shading systems. Shading technologies, whether adaptive or not, provide benefits and drawbacks. Even though optimizing them is one way to design non-adaptive shading devices, they require minimal maintenance. This study aims to integrate adaptive shading devices and light shelves for university campus buildings to provide lighting design strategies. The aim is to create a study environment that promotes well-being and academic achievement. To pursue this study, three optimization algorithms were run to find the nearly optimal solution. The goal was to both maximize Daylight Autonomy and uniformity values. Results showed that HypE and SPEA2 results discovered near-optimal DA above 75% and uniformity between 0.6 and 0.7. © 2024 IEEE.Book Part Application of Geothermal Energy in Hydrogen Production(Taylor and Francis, 2024) Ayzit, T.; Özmumcu, A.; Baba, A.Compared to other renewable resources, geothermal energy is a low-cost, technically proven, reliable, clean, and safe energy source that has been used in various fields and applications for many decades. These energy sources can be used directly or by conversion to other forms of energy. The use of geothermal energy for various purposes such as electricity, heating, cooling, greenhouses, dry food, thermal tourism, fisheries, and mineral extraction is widespread in many countries. Today’s installed geothermal capacity is dominated by the United States with about 3.7 GW, followed by Indonesia (2.1 GW), the Philippines (1.9 GW), Turkey (1.7 GW), and New Zealand. Global geothermal power generation capacity at the end of 2020 was 15.6 GW. The top ten geothermal producers account for nearly 90% of the global market, and many countries, especially Europe, plan to invest in geothermal soon. Looking at the direct use of geothermal energy for thermal applications, only four countries (China, Turkey, Iceland, and Japan) account for three-quarters of the energy consumed. Hydrogen can provide a number of benefits for future energy systems. Hydrogen can serve as storage for intermittent renewables or provide grid services. It can replace natural gas in industrial heating processes that are otherwise difficult to decarbonise. Therefore, geothermal resources can be used to produce clean hydrogen. Within this section, the importance and use of geothermal energy have been highlighted. At the same time, detailed information is given about the importance of hydrogen, its production, and its use in connection with geothermal energy. © 2025 selection and editorial matter, Mohammad Reza Rahimpour, Mohammad Amin Makarem, and Parvin Kiani.Book Part Citation - Scopus: 2Comparative Mapping(CRC Press, 2024) Frary, A.; Doganlar, S.; Ratnaparkhe, M.B.In the mid 1980s, restriction fragment length polymorphism (RFLP) analysis was first applied to plants for the purposes of creating genetic linkage maps. Using the maps developed for major crop species, the genes controlling qualitative and quantitative traits could be detected and then selected for (via closely linked molecular markers) in breeding programs. Advances in DNA marker technology not only allowed the rapid generation of high-resolution plant genetic maps, but also facilitated detailed comparisons among species. When complementary molecular markers are mapped across related species, it is then possible to align the chromosomes of those species to create comparative linkage maps. In this way, genomic similarities between species are revealed so that genetic information about one species may be extended to others and evolutionary inferences drawn. © 2008, CRC Press. All rights reserved.Article An Information Retrieval-Based Regression Test Selection Technique(Springer International Publishing, 2023) Erşahin, B.; Erşahin, M.Regression testing (RT) is the crucial part of the software testing process. It is applied after a bug fix or a change in the functionality of the codebase. The main goal is to ensure that the modified software has the desired outcome and does not cause adverse effects in other parts of the software. RT may be costly depending on the test’s quantity and complexity. Therefore, regression test selection (RTS) can be introduced to minimize these costs. RTS runs only the test cases related to the modified parts of the software. Currently, various RTS studies focus on compiled languages such as Java, C/C++, and C#, and they mostly rely on direct code dependency between tests and the system under test. In this study, we have introduced a new RTS tool called Smartest to reduce the number of selected integration tests. Former RTS tools were focused mainly on unit tests according to dependencies of modified source files. Smartest is the first RTS tool that works for software written in JavaScript and can select integration tests written in natural language by the quality assurance team. Smartest is tested on three commercial projects and observed that it picks 13% of all test cases on average. Experiments show that Smartest minimizes the selected integration tests on RTS processes, although it does not use file-level code dependency. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023.Book Part Citation - Scopus: 1Immobilization Techniques Applicable To Sourdough(Springer International Publishing, 2024) Agirbasli,Z.; Elvan,M.; Harsa,S.[No abstract available]Conference Object Citation - WoS: 1Citation - Scopus: 3Structural Performance of R/C Buildings in 2023 Kahramanmaraş Earthquakes Under the Lens of Hassan Index(Springer Science and Business Media Deutschland GmbH, 2024) Yildirim, Meltem Eryilmaz; Yesilyurt, Cennet; Gozun, Uveys; Ozturk, Baki; Donmez, CemalettinStarting with the 1999 Kocaeli Earthquake, seismic damage indices have been developed to quantify damage potential. The late Professor Mete Sozen played a significant role in this endeavor by introducing the Hassan Index, which is an indirect measure of the robustness of structures. Its calculation is straightforward, given the vertical structural element dimensions at ground level. Various earthquakes worldwide, from Taiwan to Chile, have provided opportunities to assess its effectiveness across diverse building practices and earthquake characteristics. Following the February 2023 Kahramanmaras Earthquakes, a reconnaissance team was dispatched to gather field data to observe the damages through the lens of the Hassan Index. The study extended to cover all major city and town centers, studying around 250 reinforced concrete buildings with 2-16 stories. These buildings were all constructed after the 2000s. Hence, the data set sheds light on the performance of Turkish construction practices after the commencement of the 1998 Turkish Building code and the following earthquake regulations. By evaluating the newly gathered data alongside the existing dataset, a basis is established to consider the Hassan Index as a preliminary design index rather than solely as a seismic damage index.Conference Object Evaluating Adoption Factors for Robotic-Assisted Surgery With the Analytical Hierarchical Process(Institute of Electrical and Electronics Engineers Inc., 2024) Sarigol,I.S.; Dindaroglu,B.; Aytac,E.The objective of this master's dissertation is to evaluate adoption factors for robotic-assisted surgery (RAS) using the Analytical Hierarchy Process (AHP) as its evaluation methodology. Robotic-assisted surgery is used in various surgical fields. It is mainly used as a tool in numerous disciplines' minimally invasive surgery procedures (MIS). Since it has so many different application areas and actors, the determination of its adoption factors and evaluation process of these factors' priorities for surgeons is a highly complex issue that includes multicriteria of decision-making and numerous surgeons. A comprehensive list of these possible adoption factors recognized by conducting an extensive literature review, was picked and chosen. First, we had 310 factors mentioned in the literature that have a potential impact on the adoption process of the RAS. We have reduced these to 20 factors that are categorized under five different main criteria. By this, a unique AHP tree that is this thesis' contribution to the literature was developed. The research data was collected by an online survey from the surgeons of various disciplines working in Türkiye. Our final sample to evaluate priorities consisted of forty-one surgeon responses in total. The evaluation process consists of three steps: analyzing individual-based pairwise comparison matrices, their consistency rations, and their priority vectors. We executed the same workflow for the aggregated analysis for disciplined-based and all aggregation. Results are examined in detail and concluded with insightful interpretations. © 2024 PICMET.Conference Object Citation - Scopus: 1Pedestrian Equipment Anomaly Detection With Computer Vision in Warehouses(Avestia Publishing, 2024) Elçi,T.; Ünlü,M.Z.; Kantar,D.; Türker,A.Y.; Güney,H.; Ustaoğlu,A.The rapid growth of the logistics sector in recent years caused the expansion of warehouse areas and the increase in the number of equipment used. With the increase in these activities, the possibility of work accidents in warehouses also increases. In defiance of this situation, it has been determined that a real-time prediction system of pedestrian and equipment interaction is needed to ensure in-warehouse reliability. This system should address the urgent need to reduce the risk of work accidents and focus on the overall goal of reducing the possibility of work accidents in warehouse environments. To overcome this challenge, we propose a comprehensive Warehouse Anomaly Detection and Control System consisting of object detection, object tracking, action detection, and alarm classification components which will play an important role in increasing work safety in warehouse environments. YOLOv7 (You Only Look Once version 7) is a deep learning model that detects objects quickly and accurately in a single network pass. The deep learning-based Deep SORT algorithm used for object tracking provides a dynamic understanding of the warehouse environment by continuously storing these identified problems in real-time. The action detection part of this system is designed to identify and analyze actions and movements, recognizing anomalies and potential risks. In this part, the speed of pedestrians and equipment are detected utilization of 3D bounding boxes of objects and perspective transformation. The possible accident risks are measured using the intersection percentage of these areas, the magnitude of speed, the direction of the motion vector of pedestrian and equipment, and the distances between objects. Alert levels can be considered as encounter, near-miss, and emergency. Using this system in warehouses will reduce the risk of possible work accidents that may even result in death. © 2024, Avestia Publishing. All rights reserved.Conference Object The Statistical Assessment of Variables Affecting Conservation Condition for Historic Houses(Avestia Publishing, 2024) Demir,H.A.; Bulut,N.; Turan,M.H.Conservation condition is the structural state of a historic building at a particular time. This study aims to determine the variables affecting conservation condition of heritage buildings in historic urban sites. The methodology includes selection of the case study, site survey and listing of historic house characteristics with conventional tools of architectural conservation, and determination of variables affecting their conservation condition with statistical tools. The houses in a portion of Kuyulu neighborhood, and in a portion of Kurtuluş Street, presenting variety in terms of built heritage characteristics in Antakya historic urban site, which experienced a destroying earthquake sequence in 2023, were focused on. The dataset prepared in 2019 site survey is examined by T-tests, ANOVA, regression, and exploratory spatial data analysis statistical tools. As a result, construction technique, land use, and number of storeys were determined as significant variables affecting conservation condition. While addressing abandonment issues and considering both commercial and residential functions for adaptive reuse can positively affect conservation conditions, it is crucial to recognize buildings with combined construction systems show a negative effect on conservation condition which should not be preferred in future constructions and need priority for consolidation interventions. Meanwhile, the construction period and alterations are revealed as insignificant variables on conservation condition. The study concludes that systematic planning, guided by statistical insights, can prioritize interventions and enhance positive variables corresponding to the heritage qualities that have positive impact on conservation condition while mitigating negative ones, thus ensuring the preservation of historic urban sites. © 2024, Avestia Publishing. All rights reserved.Conference Object Citation - Scopus: 1Liquid Cooling of Li-Ion Cells Based on a Constructal Canopy-To Approach(American Society of Mechanical Engineers (ASME), 2024) Gungor,S.; Cetkin,E.; Lorente,S.While many countries ambition to transition to clean energy, challenges appear related to the new developed technologies. This is particularly the case when it comes to electric vehicles and their batteries. The technology of the latter is based on Lithium-ion electrochemical reactions. During the batteries discharge, the electrochemical reactions are exothermic, and they are endothermic during the charging phase. The large change in temperature threatens the life duration of the batteries, and when combined to other factors, their safety. Therefore, the thermal management of the electric vehicle battery pack is a critical aspect that requires specific attention. In this paper, we present the work conducted by our group on thermally efficient solutions for maintaining the battery cells within the temperature range expected by manufacturers. The thermal management solution consists in inserting between the battery cells a constructal-based liquid cooling system. Such systems are called canopy-To-canopy architectures. The cooling fluid is driven from a trunk channel to perpendicular branches that make the tree canopy. An opposite tree collects the liquid in such a way that the two trees match canopy-To-canopy. The results indicate that such configurations allow to extract most of the non-uniformly generated heat by the battery cell during the discharging phase, while using a small mass flow rate. Furthermore, the configuration with 5 branches appears to be the one with high thermal efficiency and low pumping power. Copyright © 2024 by ASME.