533 results for “High Data Rate”
Research Article
Open Access Evaluation of Demand for Furniture Products by Web Mining
Selahattin Bardak, Bardak S, Timuçin Bardak, Bardak T
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.021
Furniture has a large share in all endstirisinde in the World and Turkey. People demand for furniture products is increasing day by day. Furniture manufacturers are curious about which furniture products are most demanded by customers. Although it is possible …
Research Article
Open Access Kronik Böbrek Hastalığının Makine Öğrenmesi Teknikleri ile Sınıflandırılması
Mustafa İlker ERDURSUN , ERDURSUN M, Hasan ERBAY , ERBAY H, Ömer Faruk AKMEŞE , AKMEŞE Ö, İbrahim DOĞAN , DOĞAN İ
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Teknolojinin ilerlemesi ile birlikte birçok veri dijital ortamlarda kayıt altına alınarak büyük veri yığınları ortaya çıkmıştır. Veri madenciliği sayesinde bu büyük veri yığınlarının içinden anlamlı ve yararlı bilgilerin ortaya çıkarılması için çalışmalar yapı…
Research Article
Open Access Cloud-Based Mobile Health Monitoring System Design Using Wi-Fi Technology
Tolga Hayıt, Hayıt T, Ferhat Oflezer, Oflezer F, Uçman Ergün, Ergün U
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
The health need is undoubtedly an indispensable necessity for human life. When the literature is examined, it is seen that various health monitoring systems are developed by helping to meet the health need with technological improvements. Some of these studies…
Research Article
Open Access Climate-Adaptive Modular Micro-Living for Urban Regeneration: A Passive Design and Low-Carbon Construction Framework
Aydın Oğuz, Oğuz A, Osman Hansu, Hansu O
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.62.001
This study proposes a climate-adaptive framework for modular micro-living units as a construction-based response to growing urban challenges related to climate resilience, densification, and housing affordability. The design integrates prefabricated cross-lami…
Research Article
Open Access An AI-Driven Drone-Integrated Mobile Photobioreactor System: A Novel Approach to Atmospheric Carbon Sequestration and Oxygen Emission
Betül Güroy, Güroy B
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.31.001
A universally applicable “optimal photobioreactor” design has yet to be established, as the success of such systems varies depending on the algal species used, environmental conditions, and intended applications. Meanwhile, the accelerating pace of climate cha…
Research Article
Open Access İkici Virial Katsayısının Morse Potansiyeli ile Analitik Hesaplanması ve Nötral Soygaz Atomlarına Uygulanması
Bahtiyar Mehmetoğlu, Mehmetoğlu B, Hatun Cacan, Cacan H
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
The noble gas plasmas have significant importance due to their high ionization energies requiring high temperature
plasma investigation of neutral atom interactions through an analytical calculation of the second virial coefficient (SVC) with
preferably Mors…
Research Article
Open Access Forecasting the Dielectric Properties of the Insulation Material using an Embedded ANN Microcontroller
Hakan Aydoğan, Aydoğan H, Faruk Aras, Aras F, Ercüment Karakaş, Karakaş E
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
This paper describes a laboratory application for the forecasting the dielectric properties, using an artificial neural network embedded in a microprocessor. The dielectric permittivity and loss factor of the insulation material were determined as a function o…
Research Article
Open Access Role of Efflux Pump in Biofilm Formation of Multidrug-Resistant Pseudomonas aeruginosa
Ceren Başkan, Başkan C, Belgin Sırıken, Sırıken B
4th International Symposium on Innovative Approaches in Health and Sports Sciences 2019 https://doi.org/10.36287/setsci.4.9.081
Pseudomonas (P.) aeruginosa is Gram-negative an opportunistic human pathogen associated with nosocomial infections particularly immuno-compromised patients such as cystic fibrosis, cancer, and diabetes. This organism can also develop high-level intrinsic and a…
Research Article
Open Access Dizel Motorlarında Zararlı Egzoz Emisyonlarının Azaltılmasının Araştırılması
Zeynep İlkılıç Aytaç, İlkılıç Aytaç Z, Cumali İlkılıç, İlkılıç C
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.148
Dünyada enerji üretimi yapılan her yerde havayı kirleten maddeler atmosfere atılmaktadır. Özellikle yakma sistemlerinin baca ve egzozlarından çevreye yayılan bu kirleticiler insan sağlığını ve canlıların hayat şartlarını olumsuz yönde etkilemektedir. Yapılan b…
Research Article
Open Access A Quadratic Cascade DC/DC Boost Converter Design
Kemal Kaya, Kaya K, Yakup Hameş, Hameş Y
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.023
This study includes the design of quadratic cascade DC/DC boost converter with PI controller. Two or more cascade boost converters have been used to increase system efficiency. Advantages of the proposed converter compared to the conventional boost converter a…
Research Article
Open Access Comparative Analysis of PI and Sliding Mode Control Methods for Cascade DC/DC Boost Converters
Kemal Kaya, Kaya K, Yakup Hameş, Hameş Y
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.024
In this study, a single switch cascade DC/DC boost converter has been preferred instead of conventional cascade DC/DC boost converter to reduce cost and provide simple system control. High-performance controller design for DC/DC converters is the most importan…
Research Article
Open Access Trapped Magnetic Field Measurement at 77 K for Multi-grain YBCO Bulk Superconductor
Sait Barış Güner, Güner S, Burcu Savaşkan, Savaşkan B, Şükrü Çelik, Çelik Ş
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Multi-seeded YBCO superconductors (cylindrical size) 32 mm in diameter were fabricated by top-seeded melt growth
(TSMG). Melt-processing was performed using a precursor containing 75 wt % of Y123 and 25 wt % of Y211 with 0.5 wt % of
CeO2. Trapped magnetic fi…
Research Article
Open Access Comparison of Metal Quality Armatures and LED Armatures used in Playing Field Lighting Systems
Arzu Sarıgül, Sarıgül A, Turgut Özseven, Özseven T, Serkan Şenkal, Şenkal S, Mustafa Demir, Demir M
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
LEDs that emit blue light are needed to create white light using LEDs. In 1991, Japanese scientists Isamu Akasaki, Hirochi Amano and Shuji Nakamura invented LEDs that emit blue light. From this date it became possible to use the LEDs as lighting elements. Rapi…
Research Article
Open Access Abrasive Wear Behaviour of Hardened AISI 51B60H Boron Steel
Ümit Er, Er Ü
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
One of the materials that are increasingly used today in various engineering applications is boron steels. Though boron steels draw attentions with their superior wear characteristics, studies on the tribological properties of these materials is quite limited …
Research Article
Open Access Investigation of the Effect on Joining Strength of the Tool Geometry in the Friction Stir Spot Welding Applied to Polypropylene Material
Gültekin Çakır, Çakır G, Şenol Mert, Mert Ş, Sevda Mert, Mert S
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
Friction stir spot welding (FSSW) method is prone to automation. In this way, by integrating the robot and automation systems have been easily developed. Thanks to the method, the effective overlapping joints can be obtained a short processing time. In the stu…
Research Article
Open Access Akıllı Uzmanlaşma Stratejisi Çerçevesinde Fırat Teknokent Bilişim Kümelenme Örneği
Erhan Akın, Akın E
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
Today, the universal development tool of the globalization in the world is ICT. Therefore, the capacity of using advanced tools of ICT in developed countries is increasing rapidly. Intelligent technological tools have become a part of our lives. Intelligent sy…
Research Article
Open Access Structured Deep Learning Supported with Point Cloud for 3D Human Pose Estimation
Erdal Özbay, Özbay E, Ahmet Çınar, Çınar A, Zafer Güler, Güler Z
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
In this paper, a structural-output is obtained to estimate 3D human pose using 3D human point cloud and monocular images. The Neural Network takes a human image and 3D pose as inputs and gives outputs a score value. Conditional Random Field (CRF) approach is u…
Research Article
Open Access Kalp Hastalığı Risk Tahmini için Makine Öğrenmesi Tabanlı Mobil Uygulama
Bartu Başaran, Başaran B, Ali Akdağ, Akdağ A
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.48.001
Sunulan çalışmada, kalp hastalığı riskinin erken ve güvenilir biçimde tahmin edilmesini sağlayan makine öğrenmesi tabanlı bir mobil uygulama geliştirilmiştir. Dokuz farklı algoritma değerlendirilmiş, en yüksek doğruluğa (%86,81) sahip olan k-NN modeline rağmen…
Research Article
Open Access XAI-Powered Comparative Diabetes Prediction with XGBoost, SVM and Artificial Neural Networks
Furkan Sefa Demirci, Demirci F, Remzi Yıldırım, Yıldırım R
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.30.001
In this study, diabetes prediction was conducted using XGBoost, Support Vector Machines (SVM), and a Multilayer Artificial Neural Network (ANN). Attributes that cannot be biologically ‘0’ (e.g. glucose, BMI) were first marked as NaN. After filling the missing …
Research Article
Open Access Crop Yield Prediction Using Machine Learning Algorithms
G. Malini Devi, Devi G, Badhe Siri Vennela, Vennela B, Shreya Arukala, Arukala S, Sai Amogha Uppalapati, Uppalapati S, Kambalapally Anudeepthi, Anudeepthi K
Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.0040
The study will utilize machine learning algorithms such as Random Forest, Gradient Boosting, and Support Vector Regression (SVR) on data collected from the districts of Nalgonda, Yadadri Bhuvanagiri, and Suryapet over the past two years. The project seeks to m…