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Polen - İTÜ Akademik Açık Arşive Hoş Geldiniz


Polen, İstanbul Teknik Üniversitesi akademik ve idari personeli, öğrencileri 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 yayınların etkisini artırmak için telif haklarına uygun olarak açık erişime sunar.

İTÜ Açık Erişim Sistemi, öğretim üyelerimiz ve öğrencilerimizin uluslararası standartlara ve fikri mülkiyet haklarına uygun olarak ürettikleri kitap, makale, tez, ansiklopedi, sanat eseri gibi bilimsel ve sanatsal ürünleri sunmaktadır.


Supported by @SelenSoft Yazılım









No PovertyZero HungerGood Health and Well-beingQuality EducationGender EqualityClean Water and SanitationAffordable and Clean EnergyDecent Work and Economic GrowthIndustry, Innovation and InfrastructureReduced InequalitiesSustainable Cities and CommunitiesResponsible Consumption and ProductionClimate ActionLife Below WaterLife on LandPeace, Justice and Strong InstitutionsPartnerships for the GoalsAll SDG


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Yeni Eklenenler

  • Item type:Yayın,
    A suggested method for theoretical estimation of short-term strength of void grouts used in soft ground tunneling
    (Informa UK Limited, 2025-05-08) H. Copur; U. Gumus; C. Erdonmez; C. Baris; T.O. Hatipoglu; H. Ozdemir; K. Munzuroglu; C. Avsar; A. Onal; A. Gunduz; O. Esen; G. Kaynar; Maden Mühendisliği Bölümü; Moleküler Biyoloji ve Genetik Bölümü; Çopur, Hanifi; Esen, Ömer
    The most important functions of the grout material injected to fill the void behind the segment rings in soft ground tunneling are to prevent the segment rings from settling downwards or floating upwards (generate a foundation), ensure overlapping of segment gaskets (minimize gasket rupturing), minimize surface settlement and prevent water ingress into the tunnel. In order to fulfill these functions, the tender documents require the grout material to provide certain physical and mechanical properties such as uniaxial compressive strength, gelling time, and sedimentation height. In this study, a theoretical method, which already exists in the literature, is proposed to estimate the short-term (~6 hours and ~12 hours) uniaxial compressive strength of the hardened backfill grout for tunnels passing through stable cohesive soils and soft rocks. In this method, loads acting inside the tunnel, elasticity properties of soil and segment ring and geometric properties of tunnel and segment ring are taken into account. The validity of the method is well verified by checking functionality of the two-component grout used in the Mahmutbey–Bahcesehir–Esenyurt Metro Project.
  • Item type:Yayın,
    Opimization of Material Parameters for Maximum Electromagnetic Absorption
    (IEEE, 2025-05-04) Salih Nisanci; Ali Yapar; Mohamed Hadidy; Elektronik ve Haberleşme Mühendisliği Bölümü; Yapar, Ali
    In this study, the effects of the complex relative permittivity and thickness of a material placed on a Perfect Electric Conductor (PEC) ground plane on its electromagnetic (EM) absorption performance are investigated, and a method is proposed to identify the parameter values that provide maximum electromagnetic absorption. Initially, the thickness value that maximizes absorption within the material's operating frequency range is determined. Next, with the thickness value kept constant, the study identifies the complex relative permittivity that leads to maximum absorption. Finally, in the absence of constraints, the study analytically determines the optimal combination of the complex relative permittivity and material thickness that results in maximum absorption. The parameters obtained in each section are then numerically validated between 9.5 GHz and 10.5 GHz using both electromagnetic simulations and optimization tools.
  • Item type:Yayın,
    Design and Development of a Flexible Optical Force Sensor for Robotic Applications
    (IEEE, 2025-05-01) Muhammed Halit Alzaim; Sana Abu Zaid; Gharra Bostani Eid; Claudia Fernanda Yaşar; Mustafa Doğan; Onur Ferhanoğlu; Elektronik ve Haberleşme Mühendisliği Bölümü; Ferhanoğlu, Onur
    This paper presents the design, fabrication, and evaluation of a novel optical force sensor for soft robotic applications. The sensor utilizes a flexible structure that deforms under applied force, modulating the reflected light detected by a photo-detector array. The working principle of interpreting the force by measuring the displacement of the ceiling was first validated using simulation studies. Two prototypes were fabricated using both 3D-printed TPU and casting silicon to compare their hysteresis behavior, with silicon exhibiting superior performance. Furthermore, the influence of the light source's cone angle on sensor sensitivity was investigated, showing that a narrower angle enhances sensitivity. The findings highlight the sensor's scalability, cost-effective fabrication, and suitability for integration into force-controlled robotic grasping systems.
  • Item type:Yayın,
    Evaluating the performance of four types of photovoltaic panels in Antarctica's extreme environment
    (Elsevier BV, 2025-05-01) Mehmet Das; Erhan Arslan; Ebru Akpinar; Doğaç Baybars Isiler; Burcu Özsoy; Deniz Ulaş.İşl.Müh. Bölümü; Özsoy, Burcu
    This study experimentally evaluated the performance of four different photovoltaic (PV) systems on Horseshoe Island in Antarctica. The experiment, conducted near the Turkish Scientific Research Camp, examined the efficiencies of monocrystalline, polycrystalline, flexible, and transparent PV panels under summer conditions, while real-time meteorological data such as solar radiation, temperature, humidity, and wind speed were recorded. The power output and surface temperatures of the panels were analyzed, and energy and exergy efficiencies were calculated, along with assessments of environmental impact factors, the exergy sustainability index, and environmental-economic analyses. The power outputs obtained from the experiments were recorded as 14.2W, 13.0W, 12.9W, and 9.2W for monocrystalline, polycrystalline, flexible, and transparentpanels, respectively. The average surface temperatures were determined as 18.3 °C for monocrystalline, 18.2 °C for polycrystalline, 17.6 °C for flexible, and 16.5 °C for transparant panels. The highest energy efficiency was observed in the monocrystalline PV panel at 29.1 %, while the efficiencies of the other panels were calculated as 27.0 %, 27.5 %, and 21.5 %, with exergy efficiencies measured at 8.66 %, 8.39 %, 7.37 %, and 6.70 %, respectively. In the environmental analyses, the annual CO2 emission reduction was calculated, with the monocrystalline PV panel providing the highest savings at 4.1 tons. From an economic perspective, the monocrystalline PV panel was also found to be the most advantageous, with a cost of $59. Keywors: Antarctica, Horseshoe, solar panel, enegy-exergy, renewable energy.
  • Item type:Yayın,
    AI-enabled routing in next generation networks: A survey
    (Elsevier BV, 2025-05-01) Fatma Aktas; Ibraheem Shayea; Mustafa Ergen; Bilal Saoud; Abdulsamad Ebrahim Yahya; Aldasheva Laura; Elektrik-Elektronik Fakültesi; Elektronik ve Haberleşme Mühendisliği Bölümü; Shayea, Ibraheem Abdullah Mohammed; Ergen, Mustafa
    Deep learning (DL), a promising and exciting Artificial Intelligence (AI) tool, a potent method to add intelligence to wireless network especially 6 G and satellite networks with complex and dynamic radio situations and also enormous-scale topology. In the face of the characteristics such as heterogeneity, dynamism and time-variability that 6 G and space integrated networks naturally possess, it is difficult for ossified routing algorithms to meet the user's end-to-end OoS and QoE requirements. By analyzing various network arguments like delay, loss rate, and link signal-to-noise ratio, AI techniques have the potential to facilitate the identification of network dynamics such as congestion dots, traffic bottlenecks, and spectrum availability. This study provides a comprehensive survey of how AI algorithms are being utilized for network routing. This survey has three main contributions. Firstly, it represents elaborated tables summarizing the studies and their comparisons. Secondly, it outlines the key findings and missing aspects. Finally, it suggests six specific future research directions. The trend towards intelligence-based routing in next-gen networks has rapidly grown, especially in the last four years. However, to accomplish thorough comparisons and leverage synergies, perform valuable assessments using publicly available datasets and topologies, and execute detailed practical implementations (aligned with up-to-date standards) that can be embraced by industry, considerable effort is required. Reproducible research should be the focus of future efforts rather than new isolated ideas to ensure that these applications are implemented in practice.