IJET Vol. 9, Issue 4, December 2024
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Öğe Analytical Investigation of the Channel Characteristics in Graphene Nano Scroll based Transistors(İstanbul Gelişim Üniversitesi Yayınları / Istanbul Gelisim University Press, 2024) Alizadeh Arashloo, BanafshehSilicon-based electronic devices as a three-terminal field-effect transistor is predictably reached to its extreme limitation by getting its channel length below the 10nm regime technology and suffering from numerous scaling drawbacks. As a technology progress, replaced of a new material in transistor channel is considered. Therefore, due to excellent properties, new material as a Nano Scrolls are purposed. These replacements for the traditional silicon-based FET, plays a significant role to increasing the electronic devices speed and performance. However, shrinking of the device dimensions led to challenges such as leakage current, short channel effects, high power consumption, interconnect difficulties and quantum effects, these Nano-device and Nano-structures are the perfect candidate to overcome the scaling problems. In the present paper investigation of the channel scaling and the charge carrier mobility behavior as one of the most remarkable characteristics for modeling of nanoscale Metal Oxide field-effect transistors is considered. This numerical mobility model of charge carrier is modeled analytically for the Graphene Nano scroll Field-Effect Transistor, in which the carrier concentration, channel length and channel’s resistance characteristics are highlighted. According to these carrier mobility model of GNS-based FET transistor, the carrier’s mobility versus carrier concentration is decreased. Moreover, the channel length increasing caused to growing the channel current. By increasing the channel length, the channel resistance and carrier mobility is ignorable declined. The temperature rising decreases the carrier’s mobility and the channel length expanding increases the mobility. Finally, comparison of the model by experimental results, supports the acceptability of model and can maintenance the appropriately of the model outcomes by experimental.Öğe Energy-Efficient Urban Landscapes: Advancing the Built Environment through Sustainable Ecological Planning(İstanbul Gelişim Üniversitesi Yayınları / Istanbul Gelisim University Press, 2024) Agboola, Oluwagbemiga Paul; Arapoğlu, MuratThe growing urgency of addressing environmental challenges highlights the need for research on their impacts on the built environment, particularly in urban areas where these issues adversely affect residents' well-being. Despite increasing recognition of climate-related challenges, limited attention has been given to adaptive strategies that harness local ecological resources, such as indigenous flora and green infrastructure, to promote energy efficiency and sustainability. This study examines strategies to enhance Nigeria’s urban landscapes through energy-efficient approaches in response to ongoing environmental changes. The objectives include: (i) identifying key factors influencing climate change and (ii) evaluating adaptive strategies for enhancing energy efficiency and resilience in urban environments. This research employs a total of 235 surveys amounting to 78.30 per cent of the sample that was gathered and examined. The Logistic regression analyses of Statistical Package for the Social Sciences (SPSS) software package Version 22 were used to analyze the collected data from online survey distributions. The results reveal that all factors related to climate change adaptation are statistically significant (p-values < 0.05), underscoring their critical role in fostering energy efficiency and resilience. The findings provide robust evidence for prioritizing national and regional adaptation strategies. Recommendations include integrating the significant factors into urban planning policies, emphasizing energy-efficient solutions, and fostering community engagement and education to promote awareness and adoption of adaptive measures. Future research should explore emerging technologies and interdisciplinary approaches to address energy efficiency, and climate risks, and offer a comprehensive framework for sustainable urban transformation.Öğe Türkiye Kamu Projelerinde Yapay Sinir Ağları ile Süre Tahmini(İstanbul Gelişim Üniversitesi Yayınları / Istanbul Gelisim University Press, 2024) Kaşka, Mehmet Sena; Kıral, Işık Ateş; Niş, AnılTürkiye'de kamu projelerinde süre tahmini, projenin başarıyla tamamlanması açısından kritik bir rol oynar. Proje süresinin doğru tahmin edilmemesi, maliyet artışlarına ve zaman kayıplarına yol açabilir. Maliyet ve süre arasında güçlü bir ilişki bulunmakta olup, bu ilişkinin doğru modellenmesi proje yönetimi açısından büyük önem taşır. Yapay sinir ağları (YSA), karmaşık ve doğrusal olmayan ilişkileri modelleyebilme kapasitesi ile bu süreçte önemli bir araçtır. Bu çalışmada, Türkiye’deki 25 kamu projesine ait maliyet ve ihaleyi yapan ilgili birim verileri kullanılarak yapay sinir ağı modeli ile süre tahmini yapılmıştır. Elde edilen sonuçlar modelin hızlı ve güvenilir olduğunu göstermektedir.
