Beykoz Üniversitesi

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3D Printing and Logistics
(Springer Nature, 2022) Bayraktar, A.N.
3D printing is a production process. 3D printing takes place among the techniques known as additive manufacturing and is used in the market as synonymous with additive manufacturing, and even commonly 3D printing is used instead. When there are three elements as digital model, feed material and 3D printer, then the needed product can be produced at any time and at any place by 3D printing. This technique has changed the principles of traditional production as producing the parts separately and then assembling. In other words, the traditional way of business will have been transformed to a new style. 3D printing is a disruptive and a growing trend in the business. It is assumed that 3D printing will cause and economic effect as 230$ billion to $550 billion per year by 2025. Also the increase in enthusiasm of companies in trying and using of this technology supports this assumed economic effect. Worldwide trademarks as Mercedez Benz, BMW, IKEA, Ford have shared their experiences, productions and savings. Experiences with 3D printing have shown that its usage is beneficial. Some of the benefits gained by 3D printing can be defined as shorter lead time, cheap production, fewer stocks, elimination of assembling requirement, acceleration of design process, etc. Shorter lead time, fewer stocks and elimination of flow for assembling requirements point out the change in supply chain and logistics market. With 3D printing, it is possible to produce closer to the customer by minimizing inventory, transportation and handling costs. As a service provider, logistics companies should review their service infrastructure in line with the needs of their customers who will adopt these strategies. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Accreditation of Communication Education in Turkiye: Research on the Views of Administrator Academicians in Accredited Programs
(Istanbul Univ, Fac Communication, 2023) Kaygusuz, Erdinc
The subject of this study is an examination of how communication programs are accredited in Turkiye in the context of the views of administrator academicians. The research aims to explore the views of administrator academicians who are deans, vice deans, or heads of departments in their institutions regarding the accreditation of communication education in Turkiye. The study interviews 11 administrator academicians working in accredited undergraduate programs under communication faculties or the other faculties in which communication programs are included Turkiye, with the study sample being selected using multi-stage sampling. Proportional stratified and purposive sampling was also used to ensure that the groups in the universe are represented in proportion to their weights. Although minor problems exist in practice, accreditation has been concluded to play a developing role for institutions. Accordingly, accreditation allows institutions to renew, to correct the deficiencies in their organizational chart, to update the curriculum, to strengthen the teaching staff, to increase physical environments and opportunities, and to develop financial resources. In this respect, accreditation in communication education in Turkiye is seen as a concrete output rather than a corporate reputation provider. The findings support other studies that have focused on the benefits of accreditation.
Aging in Turkey
(Faculty of Economics Osijek, 2020) Kilic, Burak; Kilic, Zafer
This study covers the services offered to the elderly, individuals who work in this field, statistical data on aging in Turkey, and similar issues. The data in this study was collected from the literature review and from written sources. In the literature, the concept of age is divided into two: biological and chronological. Although chronological age is the same in all humans, biological age varies according to individuals. Chronological age is the number of years a person has been alive. Biological age is the representation of the biological step as a unit of time. Aging is the state where individuals gradually lose their physical and psychological power. The increasingly elderly population has also caused the academic environment to focus on the field of older people. Moreover, the increasing elderly population has accelerated the process of developing national policies and plans in countries and the process of producing services in line with the developed plans and policies. According to the aging data of the United Nations, there is an increase in the number and proportion of elderly individuals in the world. As a result, in this case, Turkey does not differ, so the elderly population is increasing with each passing day.
AI (YZ) Teknikleri Kullanılarak Küresel Yazılım Geliştirmede Kültürlerarası Sorunların Öngörülebilir Analizi
(2024) Iqbal, Zohaib; Ergenecoşar, Gizem Temelcan
Bu tezin amacı, GSD ortamında kültürel farklılıklardan kaynaklanan sorunları azaltmak için kullanılabilecek tahmini modellemenin nasıl kullanılabileceğini belirlemektir. Küresel kullanım için yazılım geliştirilirken, giderek daha fazla ekip farklı kültürel geçmişlere sahip üyelerden oluşmaktadır. Bu tür farklılıklar iletişim problemlerine neden olmakta, işe yönelik çelişkili yaklaşımlar sergilemekte ve daha zayıf projelere yol açan kafa karışıklığı yaratmaktadır. Bu çalışma, yukarıda bahsedildiği gibi önemli sorunların proje çıktılarını tehlikeye atmaması için kültürlerarası etkilerin erken tespitinde yararlı olan risk faktörlerine ulaşmaktadır. Doğrusal Regresyon, Ridge Regresyonu, Lasso Regresyonu, SVR ve XGboost algoritmaları kullanılarak testler yapılmıştır. Her modelin karşılaştırılması için Ortalama Karesel Hata (MSE), Kök Ortalama Karesel Hata (RMSE), Ortalama Mutlak Hata (MAE) ve R-kare içeren bir dizi kriter incelenmiştir. Kullanılan algoritmalar arasında Doğrusal Regresyon ile modelin yüksek doğrulukla tahmin edilebileceğini gösteren en yüksek R-kare değeri elde edilmiştir. Diğer modeller için Ridge Regresyon ve XGBoost tarafından orta düzeyde doğruluk ortaya konmuş, ancak bunların ayarlanması sonuçları çok az iyileştirmiştir. Ayrıca, yapılan analizler sonucunda Linear Regresyonun en doğru model olduğunu gösterilebilmektedir. Bu çalışma, yazılım geliştirme ekiplerinde ele alınan kültürlerarası endişeleri destekleyebilecek insan merkezli yaklaşımlara, mevcut AI-tabanlı yöntemlerin entegrasyonu için önemli çıkarımlar sunmaktadır. Çıkar çatışmaları öngörüldüğünde, ekip çalışması verimliliğini ve dolayısıyla bir projenin başarısını en üst düzeye çıkarmak için daha iyi anlayış ve iş birliği çözümlerinin kullanılması gerektiği görülmüştür. Anahtar kelimeler: Kültürlerarası Zorluklar, Küresel Yazılım Geliştirme, Tahminleme Analizi, Makine Öğrenmesi, AI-Odaklı Çözümler.
Akıllı Şebeke Fazör Ölçüm Ünitelerinde Sahte Veri Enjeksiyonu Siber Saldırılarının Tespiti için Derin Öğrenme ve Makine Öğrenmesi Yöntemleri
(2024) Goun, Khalid; Erkan, Özlem Feyza
Akıllı şebekeler, normal güç sistemlerine kıyasla çeşitli avantajlar sunar. Ancak özellikle veri bütünlüğü ve güvenliği açısından önemli siber güvenlik zorlukları da sunarlar. Fazör Ölçüm Birimleri (PMU), senkronize, yüksek çözünürlüklü ölçümler aracılığıyla şebekenin gerçek zamanlı izlenmesini ve yönetimini sağlayarak bu zorlukların ele alınmasında önemli bir rol oynar ve böylece güvenilirliğini artırır. Fakat bilgisayar korsanları hayati öneme sahip Fazör Ölçüm Birim bilgilerini manipüle ederek bazı avantajlar elde edebilirler. PMU'lara yanlış veri girişi yapılmasına dayanan yanlış veri enjeksiyon saldırıları, tüm güç şebekesinin verimliliğini ve güvenilirliğini tehlikeye atabileceğinden ciddi bir tehdit oluşturur. Bu nedenle, akıllı şebekelerdeki güvenli operasyonlar etkili yanlış veri tespiti ve azaltmaya bağlıdır. Bu tez çalışmasında, akıllı şebekelerdeki yanlış veri saldırılarını tanımak için hem makine öğrenimi hem de derin öğrenme yöntemleriyle desteklenen kapsamlı bir çözüm geliştirilmesi hedeflenmiştir. Bu çözüm, güç sistemi saldırısı etiketli veriler kullanılarak geliştirilen denetimli makine öğrenimi modellerinin kullanılmasını içerir. Rastgele Ormanlar ve Ekstra Ağaçlar gibi ağaç tabanlı teknikler öncelikle PMU verilerini doğal veya riskli olay olarak ikili bir sınıflandırma kullanılır. Daha sonra olaysız, doğal olay veya aktif saldırıyı belirlemek için çok sınıflı sınıflandırma yapılır. Bunun yanı sıra, özellikle zaman serisi verileri için tasarlanmış ve ince zamansal kalıpları etkili bir şekilde tespit edip yakalayabilen Evrişimsel Sinir Ağları (CNN), Uzun Kısa Süreli Bellek Ağları (LSTM) ve CNN-LSTM hibritleri gibi derin öğrenme mimarilerini incelenmiştir. Bu araştırmanın birincil amacı, gerçek PMU verileri üzerinde en son makine ve derin öğrenme tekniklerini kapsamlı bir şekilde değerlendirmek, saldırı tespit doğruluğunda önemli bir iyileştirmeye yol açmak ve nihayetinde kritik enerji tedarik altyapısının güvenliğini ve dayanıklılığını korumaktır.
Alterations in Niban Gene Expression as a Response to Stress Conditions in 3t3-L1 Adipocytes
(Springer, 2020) Cevik, Mehtap; Gunduz, Meliha Koldemir; Deliorman, Gokce; Susleyici, Belgin
Adipocyte death is important in obesity development. Understanding and prevention of adipocyte deaths may be a molecular approach in the treatment. In the study, we aimed to understand role of Niban gene, which acts as an anti-apoptotic molecule as a response to stress conditions, in adipocytes. 3T3-L1 adipocytes were treated with different doses of linoleic acid, hydrogen peroxide and ethanol; and proliferation of the cells examined with real time monitoring iCELLingence system. Gene expression levels were measured by q-PCR. As a response to 24h 480 mu M linoleic acid treatment, Niban gene expression was found to be higher than control group (p = 0.008), whereas 24 h 90 mM ethanol treatment was determined to be lower than control group (p = 0.008). The highest value of Niban gene expression among H2O2 treatment groups was detected in 4h 600 mu M H2O2 in comparison to control group (p = 0.008). To understand role of Niban in adipogenesis, Niban gene expressions were compared between pre-adipocytes and advanced fat accumulated adipocytes and determined to be significantly different (p = 0.042). Our results suggest that Niban might be involved in stress response process in adipocytes. However, the exact molecular role of Niban needs to be investigated in further studies.
Analyses of Chemical and Physical Egg Quality Parameters of Laying Hens Housed in Different Conditions in Turkey
(Sakarya University, 2023) Uysal Afacan, R.S.
The aim of the present study is to determine the content of chemical and physical quality parameters of hen eggs (liquid whole egg (LWE), liquid egg yolk (LEY), and liquid egg white (LEW)) produced for different housing and feeding conditions in Turkey. Chemical quality parameters (protein, lipid, and moisture) and physical quality parameters (total soluble solid (°Brix), pH, conductivity, and yolk:white ratio) were analyzed using different egg samples. Kjeldahl, wet ashing, and oven-drying official methods were used for the protein, total lipid, and moisture analyses of egg samples. The highest protein content in the LEY and LEW samples were found to be 19.0% and 15.13%, respectively for the tenth sample having fortified feeding (selenium+DHA) parameters. For LWE samples, it was also obtained 15.65% with the second sample having a not fortified feeding parameter. The highest total lipid content for LWE samples was determined as 10.43% for the seventh sample which housed under cage free conditions and fed with organic (omega3+EPA+DHA) fortifiers, while it was found with a value 25.7% for the second and third LEY samples possessing a not fortified feeding parameters. The highest moisture content was determined as 78.37%, 54.64%, and 89.11 for thirty-first LWE sample (with not fortified feeding), third LEY sample (with not fortified feeding) and sixth LEW sample (having cage free and organic parameters), respectively. As a result, the minimum, average, and maximum contents of the chemical and physical quality parameters were determined for laying hen eggs raised in several housing and feeding conditions in Turkey. © 2023, Sakarya University. All rights reserved.
An Analysis of Airports’ Sustainability Promotion Activities on Instagram through Content Analysis Method
(IGI Global, 2026) Beğendik B.
This study evaluates how airports in Türkiye communicate sustainability-related activities on Instagram by applying content analysis within the framework of the United Nations’ 17 Sustainable Development Goals (SDGs). The results indicate that airports post content related to the SDGs, but they mostly focus on economic and operational topics, especially SDG 9 (Industry, Innovation, and Infrastructure), which emphasizes digital advancements, new services, and infrastructure improvements. Airports display environmental themes, albeit in limited and uneven ways. From a strategic innovation perspective, airports tend to signal sustainability primarily through modernization and efficiency narratives rather than comprehensive environmental transformation. Accordingly, airport operators should move beyond symbolic messaging by communicating measurable environmental targets, actions, and outcomes on Instagram. © 2026 by IGI Global Scientific Publishing. All rights reserved.
An Analysis of Alternative Energy Sources and Applications in Maritime Transportation with a Strategic Management Approach
(Springer Science and Business Media Deutschland GmbH, 2024) Mizrak, F.; Akkartal, G.R.
The integration of alternative energy sources in maritime transportation is in line with operational and green strategies that aim to promote sustainability and reduce the negative impacts of transportation on the environment. In this perspective, the purpose of the study is to illustrate the severity of the carbon emission as a result of maritime activities and analyze the current applications to reduce the negative effects on the environment adapting operational and green strategies benefiting from the recent studies in literature. Studies on the use of renewable energy sources such as solar and wind on ships and alternative energy sources such as onshore energy are examined in order to reduce fuel consumption and minimize exhaust gas emissions. Current information on the use of alternative energy systems in ship technology is given. In addition, it is aimed to contribute to the future predictions of the maritime industry by addressing new generation ship designs and projects within the strategic management framework. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
An Analysis of Alternative Energy Sources and Applications in Maritime Transportation with a Strategic Management Approach
(Springer Science and Business Media Deutschland GmbH, 2024) Mızrak F.
Energy management and efficiency are important in terms of both sustainable environment and sustainable economy. Energy efficiency and the use of renewable energy have become an issue that the maritime industry focuses on, both in terms of effective and efficient use of resources and reduction of greenhouse gas emissions. In this study, studies on the use of renewable energy sources such as solar and wind on ships and alternative energy sources such as onshore energy are examined in order to reduce fuel consumption and minimize exhaust gas emissions. Current information on the use of alternative energy systems in ship technology is given. In addition, it is aimed to contribute to the future predictions of the maritime industry by addressing new-generation ship designs and projects within the strategic management framework. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Analyzing Cost Efficiency and Project Scope in Post-Disaster Housing: Reconstruction Cases of Toki in Türkiye
(MDPI, 2025) Geylani, Ozlem
The Mass Housing Administration of T & uuml;rkiye (TOKI) operates as the primary public organization responsible for delivering extensive affordable housing throughout T & uuml;rkiye while ensuring disaster resilience. The recent decades of earthquakes and environmental hazards in T & uuml;rkiye have necessitated extensive post-disaster reconstruction initiatives nationwide. In response, TOKI has completed numerous disaster housing projects across the country through an integrated infrastructure framework supporting community recovery. This study presents an extensive statistical evaluation of 664 disaster housing projects constructed by TOKI across 40 provinces. Specifically, a quantitative analysis is conducted on 434 disaster housing projects for which detailed financial data are available. This research examines differences in construction costs between urban mass housing developments and rural village settlements, particularly focusing on the integration of functional structures such as schools, mosques, commercial units, and barns. Although mass housing projects require significantly larger total budgets due to their extensive scale, statistical analysis reveals no significant difference in per-unit construction costs between mass housing and village housing projects. Regression analysis indicates that incorporating barns increased per-unit construction costs, while the presence of schools and mosques significantly decreases these expenses. The findings of this research provide critical insights into the economic and functional factors influencing disaster housing reconstruction in T & uuml;rkiye and offer practical recommendations for improved planning, resource management, and community reconstruction based on an evaluation of functional structures.
Analyzing Criteria Affecting Decision-Making Processes of Human Resource Management in the Aviation Sector – A Fuzzy Logic Approach
(2023) Mızrak, Filiz
In today's fast-paced and ever-changing business landscape, effective decision-making is paramount to achieving success and maintaining a competitive edge. This holds particularly true in the aviation sector, where Human Resource Management (HRM) plays a pivotal role in optimizing workforce performance and ensuring operational efficiency. However, HRM decision-making processes are often confronted with multifaceted challenges that encompass various criteria and encompass both objective and subjective factors. To tackle this complexity, a novel and adaptive approach is needed. In this study, we employ a Fuzzy Logic Approach to analyze the criteria influencing decision-making processes in HRM within the aviation sector, aiming to provide a comprehensive and flexible decision-support system for HRM practitioners and contribute to the sector's overall performance and success. The contribution of this study lies in its innovative application of Fuzzy Logic to HRM decision-making in the aviation sector. By capturing the inherent uncertainties and vagueness that HRM practitioners encounter, the proposed Fuzzy Logic-based model offers a more robust and context-sensitive decision-support system. Based on the Fuzzy Logic application and sensitivity analysis, the findings reveal the significance of employee satisfaction as the most influential criterion in HRM decision-making within the aviation sector. The Fuzzy Logic model demonstrated a strong positive correlation between high employee satisfaction levels and favorable HRM Decision Outcomes. This finding emphasizes the pivotal role of employee satisfaction in shaping HRM strategies and outcomes within aviation organizations.
Analyzing Ideology and Narratology in Film Series, Sequels, and Trilogies
(IGI Global, 2024) Seçmen, E.A.
The study of ideology and narratology in film reveals intricate layers of meaning and cultural significance embedded within cinematic narratives. This exploration delves into how ideologies are conveyed, reinforced, or challenged across multiple installments of a film franchise. By analyzing the narrative structures, character developments, and thematic continuities, scholars can uncover the underlying messages and societal implications that shape audience perceptions. Analyzing Ideology and Narratology in Film Series, Sequels, and Trilogies explores the complex narrative and ideological dimensions within multi-installment cinematic works. It investigates how sequential storytelling in film not only entertains but also reflects and shapes cultural, social, and political ideologies. By examining narrative structures in film series and franchises, this book reveals the subtle ways in which ideologies are constructed, perpetuated, or subverted. Covering topics such as narrative complexity, psychoanalytical analysis, and ideology, this book is a valuable resource for academicians, researchers, post-graduate students, educators, sociologists, and more. © 2024 by IGI Global. All rights reserved.
Anime Narratives and 3D CG Aesthetics
(Cambridge University Press, 2024) Bedir, S.Ç.
TV anime’s reliance on 2D-limited animation techniques was born in the 1960s out of budgetary constraints, but since then it has been embraced as a defining feature, especially in shōnen (boys) anime. This genre famously features protagonists who perform miraculous actions with unpredictable outcomes, the details of which can be conveniently left unvisualized under the guise of stylistic omission. Today, however, as 3D modeling and animation techniques are integrated more and more visibly into the animation pipeline, the relatively easier portrayal of seamless physical performance as spectacle may conflict with the mystery of how the shōnen hero operates. This chapter seeks to determine whether the concept of “3D anime” is plausible and how the shōnen anime narrative remains animeesque in terms of causal ambiguity. © Cambridge University Press & Assessment 2024.
Applicability of a Digitalization Model Based on Augmented Reality for Building Construction Education in Architecture
(Emerald Group Publishing Ltd, 2023) Guray, Tayibe Seyman; Kismet, Burcu
Purpose The purpose of this paper is to introduce a digitalization model (DM) for building construction courses in architectural education as a response to the recent emerging technologies in the era of digital transformations. This DM is developed and applied through augmented reality (AR) technologies to boost perception, understandings and ability to solve building construction details. Design/methodology/approach Based on a thorough review of recent technologies like AR, virtual reality (VR), building information modelling (BIM) and their applications in architectural education, the methodology involves the generation of a model, its application and evaluation. The model is based on the integration of BIM and AR which is applied into a third year "Building Construction Project" course. Each student has designed a residential building and accordingly prepared the construction drawings by adapting the DM. An online survey -based on Technology Acceptance Model - is conducted to evaluate the DM by quantitative data analysis from SPSS and Excel. Findings The key findings of the study include the following items: determination of the proper digital tools, the definition of the steps and workflow based on the building project phases to develop construction drawings and define precise details effectively. By the help of this, the DM is generated and applied. According to the survey and results, the DM which involves BIM-based AR is considered as beneficial, highly motivating and providing better perception on construction details. Originality/value Implication of AR/VR technologies is frequently seen in design studios, whereas building construction courses state its traditional approach. However, there is a huge potential in the digitalization of building construction education by increasing the perception of students together with the increased level of communication. The study aims to close the gap of digitalization by proposing a DM, which brings a systematic approach considering each phase of building construction project as conceptual, schematic, design development and construction documents by using BIM integrated AR. Moreover, the novel model specifically brings a new approach by generation of QR codes for construction details to embed videos or simulations into the two-dimensional drawing sheets. Furthermore, the DM proposes a new approach to satisfy emerging needs and requirements of the Architecture Engineering Construction industry.
Applications of Exosome Vesicles in Different Cancer Types as Biomarkers
(Bentham Science Publishing Ltd, 2024) Ihlamur, Murat; Kelleci, Kubra; Zengin, Yagmur; Allahverdiyev, M. Adil; Abamor, Emrah Sefik
One of the biggest challenges in the fight against cancer is early detection. Early diagnosis is vital, but there are some barriers such as economic, cultural, and personal factors. Considering the disadvantages of radiological imaging techniques or serological analysis methods used in cancer diagnosis, such as being expensive, requiring expertise, and being time-consuming, there is a need to develop faster, more reliable, and cost-effective diagnostic methods for use in cancer diagnosis.Exosomes, which are responsible for intercellular communication with sizes ranging from 30-120 nm, are naturally produced biological nanoparticles. Thanks to the cargo contents they carry, they are a potential biomarker to be used in the diagnosis of cancer. Exosomes, defined as extracellular vesicles of endosomal origin, are effective in cancer growth, progression, metastasis, and drug resistance, and changes in microenvironmental conditions during tumor development change exosome secretion. Due to their high cellular activity, tumor cells produce much higher exosomes than healthy cells. Therefore, it is known that the number of exosomes in body fluids is significantly rich compared to other cells and can act as a stand-alone diagnostic biomarker. Cancer-derived exosomes have received great attention in recent years for the early detection of cancer and the evaluation of therapeutic response.In this article, the content, properties, and differences of exosomes detected in common types of cancer (lung, liver, pancreas, ovaries, breast, colorectal), which are the leading causes of cancer-related deaths, are reviewed. We also discuss the potential utility of exosome contents as a biomarker for early detection, which is known to be important in targeted cancer therapy.
Applying Artificial Intelligence for FPGA Physical Design Automation Tools
(2024) Etfaghaoubeid, Cheikhsaadbouh; Erkan, Özlem Feyza
Yerleştirme aşamasında FPGA tasarımlarında yönlendirme tıkanıklığını tahmin etmek için yeni bir çerçeve sağlıyoruz. Giriş net listesini düzenlemek için yük dengeli bir iki bölümleme stratejisi kullanan yaklaşımımız, yönlendirme bilgisi tahmininin doğruluğunu artırır. Çerçeve, yerleştirme şemasını ve tasarım bağlantısını yansıtan özenle seçilmiş özellikleri içerir. Giriş ağ listesine yönelik bu kümeleme yaklaşımı yalnızca mevcut metodolojileri geliştirmekle kalmaz, aynı zamanda modelin yönlendirme bilgilerini doğru bir şekilde tahmin etme yeteneğini de önemli ölçüde geliştirir. Ek olarak bu strateji, oldukça sıkışık tasarımların yönlendirilebilirliğini artırır ve yönlendirici çalışma süresini önemli ölçüde azaltır. Yöntemimiz, önemli ölçüde daha hızlı bir çalışma zamanında çalışırken, ilk yönlendirmeyle karşılaştırılabilir yönlendirilebilirlik tahmin doğruluğu elde eder ve genel tasarım yönlendirilebilirlik tahminlerinde hız ve hassasiyetin ikili zorluğunu ele alır. Giriş görüntüsünün farklı kanallarına kodlanmış iyi tasarlanmış özelliklerin girişini sağlayan önerilen çerçeve, mevcut yöntemlere göre üstün performans göstermektedir. Bu başarı, giriş ağ listesinin bağlantı ve sınırlayıcı kutuya dayalı olarak etkili bir şekilde bölümlenmesine atfedilir. Erken aşamadaki FPGA yönlendirme mimarisi araştırmasında modelimiz, hızlı ve doğru tasarım yinelemelerine olanak sağlayarak değerli olduğunu kanıtlıyor. Ulaşılabilir maksimum frekans (Fmax), minimum kanal genişliği (Wmin) ve en kötü gevşek gecikme gibi önemli yönlendirme ölçümlerini doğru şekilde tahmin ederek tam VPR CAD akışı sonuçlarıyla güçlü bir korelasyon gösterir, ancak daha hızlıdır.
Applying Entropy Weighting and 2-Tuple Linguistic T-Spherical Fuzzy MCDM: A Case Study of Developing a Strategic Sustainability Plan for Istanbul Airport
(MDPI, 2024) Mizrak, Filiz; Polat, Levent; Tasar, Sezin Acik
This study presents a novel sustainability plan tailored for Istanbul Airport, leveraging advanced decision-making methodologies to address the urgent need for sustainable practices in aviation. By integrating the entropy weighting and 2-tuple linguistic T-spherical fuzzy multi-criteria decision-making (MCDM) models, the study offers a comprehensive approach to evaluating and prioritizing sustainability criteria based on expert input from 12 professionals. The novelty of this research lies in its unique combination of advanced MCDM techniques with cutting-edge technologies, including IoT-enabled monitoring systems, digital twin models, blockchain-based sustainability reporting, and carbon capture initiatives, tailored specifically for large-scale airport operations. The study develops a phased implementation roadmap comprising three stages: (1) a short-term focus on energy efficiency and renewable energy infrastructure, achieving significant cost reductions within a 3-7.5-year payback period; (2) medium-term initiatives integrating IoT and digital twins to enhance operational efficiency; and (3) long-term measures incorporating carbon capture and blockchain for transparency and compliance. Key implementation steps include upgrading energy systems, deploying IoT sensors, creating digital replicas of airport infrastructure, and establishing regulatory and stakeholder collaboration frameworks. This research contributes a replicable framework for airports worldwide, bridging theoretical models with actionable solutions.
An Approach to Predicting the Effect of Shadows from Surrounding Buildings on the Performance of Solar Photovoltaic
(Gazi Üniversitesi, 2025) Yongkuan, S.; Wei, N.; Shanwu, Z.; Garip, I.
For a photovoltaic system in an urban building, building shadow occlusion is an often-encountered problem, photovoltaic array covered area will change with time, resulting in the photovoltaic array output volt-ampere performance curve being also different with time. With the engineering analytical model of silicon solar cells, the series-parallel of electrical circuits theory, and the solar Angle change formula, an approach to predicting the effect of shadows from surrounding buildings on the performance of solar photovoltaics is established. The simulation results show the difference of the PV array’s I-V and P-V performance curves with periods. An actual test is carried out for the completed photovoltaic project with building shadow occlusion, and the comparison with Matlab simulation I-V and P-V performance curve proves the predicting model can describe the output performance of the PV array with building shadow occlusion. © (2025), (Gazi Universitesi). All rights reserved.
Araştırma Makale Önerisi İçin Derin Öğrenmenin Kullanımı
(2023) Sayah, Doniazad Ben; Erkan, Özlem Feyza
In the field of scientific writing, it is crucial to be able to identify and choose relevant publications. However, due to the increasing number of papers being published, researchers face difficulties in manually navigating through the vast amount of literature. In response to the challenge of navigating the growing volume of academic literature, automated paper recommendation systems have emerged to assist researchers in finding relevant publications. These systems also address the need to establish connections between research outcomes and academic journal subjects for article submissions. Traditional text representation models have limitations in capturing semantic relationships between words and addressing the diverse range of topics across different journals, which affects classification and recommendation results. In this study, a dataset sourced from Kaggle, comprising titles and abstracts of research articles, has been expanded to a total of 60,286 instances. This expansion includes 40,000 additional instances from the National Library of Medicine alongside the original 20,286 instances. These instances are categorized into four classes: physics, mathematics, statistics, and computer science. The research employs various feature extraction methods, including doc2vec, TF-IDF, and Bag of Words, and evaluates the performance of classical machine learning algorithms and deep learning models on the feature vectors. The resulting model functions as a recommendation system, offering content-based suggestions for authors seeking papers relevant to their research interests.

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