İstanbul Ticaret Üniversitesi Kurumsal Akademik Arşivi
DSpace@Ticaret, İstanbul Ticaret Üniversitesi 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 telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
Otoimmün hastalıklarda glikan biyobelirteçlerin keşfi: Tanı ve tedavide son gelişmeler
(İstanbul Ticaret Üniversitesi, 2025) Çağlı, Müşerref; Gurbanov, Rafig; Poyraz, İsmail
Glikanlar, insan vücudunda salgılanan çok sayıda proteine bağlanarak bu proteinlerin yapısal ve işlevsel özelliklerinde önemli değişikliklere yol açan kompleks şeker molekülleridir. Glikozilasyon olarak bilinen bu süreçteki anormallikler, kanser, kardiyovasküler hastalıklar, otoimmün bozukluklar ve kronik inflamatuvar hastalıklar gibi birçok patolojik durumla yakından ilişkilidir. Özellikle otoimmün hastalıklarda, glikan yapılarındaki değişiklikler, hastalığın başlangıcı, ilerlemesi ve tedavi sürecinde kritik bir rol oynar. Günümüzde, glikan yapılarındaki değişikliklerin analizi için yaygın olarak kullanılan kütle spektrometresi gibi ileri analitik teknikler, glikan profillerinin yüksek hassasiyetle belirlenmesine ve hastalıkla ilişkili spesifik glikan modifikasyonlarının tespit edilmesine olanak tanır. Erken dönemde yapılan bu analizler, hastalığın tanısı, tedavi stratejilerinin belirlenmesi ve tedaviye yanıtın izlenmesi açısından klinik karar verme süreçlerine önemli katkılar sağlayabilir. Bu çalışmada, otoimmün hastalıklar başta olmak üzere çeşitli patolojik durumlarda glikan yapılarındaki değişikliklerin rolü ele alınmakta ve bu değişikliklerin potansiyel biyobelirteçler olarak kullanımına yönelik güncel bilgiler sunulmaktadır. Ayrıca, glikan biyobelirteçlerin klinik uygulamalarda kullanımını kolaylaştıracak yeni teknolojik yaklaşımlar ve gelecek perspektifleri de değerlendirilmektedir.
A comprehensive survey of next-generation optimization algorithms for target coverage in mobile wireless sensor networks
(İstanbul Ticaret Üniversitesi, 2025) Bayat, Gözde; Ülkü, Eyüp Emre; Doğan, Buket
In recent years, Wireless Sensor Networks (WSNs) have gained attention due to their real-time monitoring capabilities. These networks use low-power devices to collect and transmit data, becoming significant with the rise of 5G and the Internet of Things (IoT). Initially used for military purposes, WSNs have expanded into various sectors, particularly in smart agriculture, where they enhance efficiency through modern technology. By providing real-time data, WSNs help farmers optimize yields, reduce waste, and improve productivity, supporting the digital transformation of agriculture. Despite their advantages, WSNs face challenges such as routing, localization, energy efficiency, and coverage. This study provides a comprehensive survey of the coverage optimization problem in WSNs, focusing on metaheuristic algorithms such as the Gray Wolf, Whale Swarm, Flower Pollination, and Cuckoo Algorithms. These algorithms are analyzed based on metrics like maximum coverage rate, energy consumption, and solution time. The survey highlights their potential to address challenges in WSN applications, particularly in agriculture and other domains, by optimizing sensor placement and improving network efficiency.
Development of an embedded system-based cold cathode vacuum measurement system for (ultra high vacuum) uhv applications
(İstanbul Ticaret Üniversitesi, 2025) Ünler, Tarık
Vacuum measurements are widely utilized in numerous critical applications including defense industries, aerospace technologies, composite material manufacturing, and various industrial processes. The key performance parameters in vacuum systems include measurement range, accuracy, and operational lifetime of the sensing elements. This study presents a comprehensive investigation of an Inverted Magnetron (IMT) cold cathode vacuum measurement sensor, which offers distinct advantages over conventional hot cathode systems, including an extended measurement range, prolonged operational lifetime, and user-friendly operation. The IMT cathode configuration demonstrates superior performance in low-pressure regimes (below 10⁻³ Torr) by optimizing electron trajectories through magnetic field confinement, thereby achieving high ionization efficiency. To optimize sensor performance, a high-stability digital electronic readout system was designed and implemented. Experimental characterization was conducted using a turbo-molecular vacuum pump, with measurement results successfully demonstrating the system's capability to accurately measure vacuum levels down to 9,9 ×10⁻⁸ Torr. These findings validate the IMT cathode design's exceptional stability and wide dynamic range in ultra-high vacuum applications. The developed flexible electronic system enables high-precision digital measurement and control of vacuum systems. This research contributes to the development of an economical, long-lifetime vacuum measurement system capable of stable operation at lowpressure regimes, based on IMT cathode technology.
Design of passive harmonic filter for the clawpole synchronous generators under non-linear loading
(İstanbul Ticaret Üniversitesi, 2025) Toprak, Yusuf; Karakaya, Oktay; Cantürk, Şevket; Balcı, Murat Erhan
In this study, firstly, the harmonic distortions of terminal voltage and current of a three-phase 1,5 kVA, 150V, 50 Hz, and four poles permanent magnet excited Claw Pole Synchronous Generator (CPSG) supplying a 6-pulse rectifier load are simulated using its 3D Finite Element Model (FEM) in Ansys Maxwell software environment. Then, various low-pass passive filters are designed with a practical approach to reduce the terminal voltage and winding current harmonics in the analysis system. Finally, the terminal voltage and current harmonic distortions, losses, torque oscillations, and efficiency of the modelled CPSG are evaluated when the designed filter is connected to the system. According to the numerical results obtained, the best-performing filter among the designed ones is determined. It is also concluded that with the help of this best-performing filter, the terminal voltage harmonic distortion, losses, torque oscillations, and efficiency of the CPSG are considerably improved.
Investigating the effects of mathematical music on eeg brainwave frequencies
(İstanbul Ticaret Üniversitesi, 2025) Karaçam, Cemil; Yakıt, Halil; Dartar, Şerif Efe; Altun, Kayra Ege
This study aims to present an innovative approach to the music composition process by applying mathematical principles. Five musical pieces were composed using mathematical techniques such as the Golden Ratio and Fibonacci sequences, and the potential applications of these techniques in the field of music therapy were examined. The compositions were played for healthy volunteers, and their neurological and emotional responses were measured using EEG tests. The results of these tests were systematically analyzed through brainwave measurements, allowing for the identification of new techniques and methods for potential use in music therapy. The findings highlight the therapeutic potential of music based on mathematical foundations and contribute to a deeper understanding of the relationship between music and mathematics. This study seeks to fill existing gaps in the literature by integrating mathematical methods into the music composition process and enhancing the effectiveness of music therapy.
