528 results for “Structural Health Monitoring, EMI Method”
Research Article
Open Access Fabrication and Characterization of Ceramic Reinforced Aluminum Matrix Composites by Powder Metallurgy Method
Mahmut Can Şenel, Şenel M, Mevlüt Gürbüz, Gürbüz M, Erdem Koç, Koç E
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
Aluminum based metal matrix composites are frequently used in automotive, aircraft, space, automotive, agricultural and building industries due to their easy shaping, good heat and electrical conductivity, low density, high strength and toughness. In these com…
Research Article
Open Access The Investigation on Mechanical Properties and Tribological Behaviour of Graphene Reinforced Aluminum Composites
Mahmut Can Şenel, Şenel M, Mevlüt Gürbüz, Gürbüz M, Erdem Koç, Koç E
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
In this study, 0-12wt.% of Si3N4 or 0-30wt.% of SiC was added to the aluminum matrix by powder metallurgy method. Hence, the effect of reinforcement elements’s (SiC or Si3N4) amount on the mechanical properties was examined. Micro structures and crystal struct…
Research Article
Open Access Determination of Percentile Sunlit Time of a Rooftop using the VI-Suite
Hakan Aydoğan, Aydoğan H, Mehmet Feyzi Özsoy, Özsoy M
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
The aim of this study is to determine instantaneous irradiance and annual percentile sunlit time on the available rooftop floor area of Technical and Social Science Vocational School at Usak University by simulation using open source software. The building of …
Research Article
Open Access Investigation of Stress-Corrosion Behaviours in Dıfferent Environments of AA2024 Alloy
Batuhan Özakın, Özakın B, Hikmet Altun, Altun H
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
Stress corrosion is a dangerous type of corrosion occuring as a result of effective with corrosive environment and stress of sensitive a material. Many metallic material may be exposed to stress corrosion damage depending on operating conditions. In order to d…
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 Estimation of Electricity Consumption by Regression and Artificial Neural Networks Approaches
Ümmü Gülsüm Eraslan, Eraslan Ü, Figen Balo, Balo F, Büşra Çetin, Çetin B, Ukbe Ü. Uçar, Uçar U
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
Aim of the study: It is important to be able to plan the production transmission and distribution necessary for uninterrupted electricity and to use the electricity more efficiently and to make demand forecasts. For this reason, it is aimed to estimate the ele…
Research Article
Open Access Chromatographic Performance of Weak Cation Exchanger Synthesized by a Simple Method
Berna S. Kaya, Kaya B, Ali Tuncel, Tuncel A
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
The column materials in the form of monodisperse and porous particles were synthesized with regard to test their column performances in Ion Exchange Chromatography (IEC) mode. Particles in the form of poly(glycidil methacrylate-coethyleneglycol dimethacrylate)…
Research Article
Open Access Forecasting Banking Desert Risk Using Branch Level and Merger Signals
Malavika Polanki, Polanki M
Proceedings of the International Conference on Open Finance (ICOF 2026) 2026 https://doi.org/10.36287/setsci.25.5.001
In the United States, banking desert status is classified annually from that same year’s branch data, producing a contemporaneous snapshot of current access rather than a forecast of which communities are likely to change status next. This study tests whether …
Research Article
Open Access Amasya Kent Merkezinde Fiziksel Zarar Görebilirlik Düzeylerinin Mekânsal Analizi: CBS Tabanlı Bir Yaklaşım
Harun Ceylan, Ceylan H, Rabia Karamustafa, Karamustafa R, Süleyman Tuğrul Kılıç, Kılıç S, Aslı Altanlar, Altanlar A
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.83.001
Afet risklerinin azaltılmasında, fiziksel zarar görebilirlik düzeylerinin mekânsal olarak belirlenmesi ve görselleştirilmesi, kentsel dayanıklılığın artırılması açısından kritik bir öneme sahiptir. Bu çalışma, Amasya kent merkezinde afet kaynaklı fiziksel kırı…
Research Article
Open Access The Tree, The Mansion, and a Nation: Cultural Narratives of the Walking Mansion
Nazlı Taraz Varışlıaslan, Varışlıaslan N
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.79.001
The Walking Mansion in Yalova, Türkiye, holds a special place as a symbol of the Early Republican Period. In 1929, Mustafa Kemal Atatürk, the founder of the Republic, took a journey from İstanbul to Bursa aboard the Ertuğrul Yacht and encountered a remarkable …
Research Article
Open Access Geographic Identity Process and Ecodesign in Designesart
Raul Cunca, Cunca R, Carla Paoliello, Paoliello C
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.4.001
The Designesart Collection was created as part of the master’s program in Furniture and Interior Design at the Instituto Politécnico de Castelo Branco’s Escola Superior de Artes Aplicadas, Portugal. It is a product series that values inherent Beira Baixa’s ter…
Research Article
Open Access Study of FPGA – Based Spiking Neural Networks: Classification Implementation
Mehmet Sinan Çınaroğlu, Çınaroğlu M, Erol Seke, Seke E
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.26.001
With the help of ability to imitate the biological nervous system, Spiking Neural Networks (SNNs) architectures have become popular recently. In order to benefit at the maximum level from the low power consumption, event-based structure and parallelization fea…
Research Article
Open Access A Deep Learning Framework for the Identification of Distinct Stages in Diabetic Retinopathy through Retinal Image Analysis
A.D.P. Rupasinghe, Rupasinghe A, K.G. Samarawickrama, Samarawickrama K
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.3.001
Diabetic retinopathy is the leading cause of blindness among diabetic patients. It occurs when the light-sensitive tissue in the retina is damaged. According to WHO statistics, the current global prevalence of diabetic retinopathy is approximately 103 million …
Research Article
Open Access Asenkron Motor Hız Tahmininde İnterpolasyon ve Eğri Uydurma Yöntemlerinin Kullanımı
Emrah Eser, Eser E
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.38.001
Sanayinin en çok tercih ettiği motorların başında gelen asenkron motorun skaler kontrolünün gerçekleştirilmesi için hız tahminlemesi yapılmıştır. Motor hızının farklı yüklerde değişmesi istenmeyen bir durumdur. Hız ve moment kontrolü için farklı control yöntem…
Review
Open Access Comparative Review of Machine Learning Methods in Revenue Forecasting
Ali Taghiyev, Taghiyev A, Özkan İnik, İnik Ö
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.54.001
In this study, a classification problem is discussed to predict whether individuals' annual income levels are above $50,000. The UCI Adult Income Dataset, which is derived from the 1994 US Census (Census) data and is widely used in the field of machine learnin…
Research Article
Open Access Multilingual Sentiment Analysis for Mobile Gaming: A Comparative Study of Machine Learning and Hybrid Deep Learning Approaches
Erol Kına, Kına E, Recep Özdağ, Özdağ R
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.1.001
The rapid expansion of the mobile gaming industry has underscored the need to understand user sentiment, with social media platforms like X (Twitter) providing key insights. This study applied sentiment analysis to English and Turkish tweets, utilizing the TEM…
Research Article
Open Access Integrating UAVs and YOLO Deep Learning for Early-Stage Forest Fire Detection
Hakan Mert Didis, Didis H, Firuze Adibeli, Adibeli F, Ilayda Boz, Boz I, Nesli S. Azdavay, Azdavay N
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.3.012
The uncontrolled spread of forest fires, driven by climate change and increasing human activities, poses a significant global challenge, disrupting the delicate balance of ecosystems. These fires, whether caused by natural disasters or human factors, have seve…
Research Article
Open Access Bibliometric Analysis of the Concept of Walkability
Özlem Büyüktaş, Büyüktaş Ö, Hatice Günseli Demirkol, Demirkol H
6th International Symposium on Innovation in Architecture, Planning and Design 2024 https://doi.org/10.36287/setsci.20.23.182
Walkability is a concept that enhances urban quality by promoting pedestrian-friendly environments and providing individuals with better living spaces. Recently, it has become a systematic and interdisciplinary research area that is extensively addressed withi…
Research Article
Open Access Analysis of Inrush Current Loads in Electric Motors in Low Temperature Tests
Gizem Fırat, Fırat G
International Conference on Advances in Electrical-Electronics Engineering and Computer Science 2024 https://doi.org/10.36287/setsci.19.5.024
This study examines the effects of inrush current loads on electric motors operating under low-temperature conditions. While electric motors have a wide range of applications in industrial and military environments, they face significant performance challenges…
Research Article
Open Access Transformatörlerde Buşing Bağlantılarının Önemi
Tuğçe Kayalak, Kayalak T, Furkan Ekşi, Ekşi F, Şeyma Nur Gökmen, Gökmen Ş, Ahmet Doğuhan Mermer, Mermer A, Melis Öder, Öder M
International Conference on Advances in Electrical-Electronics Engineering and Computer Science 2024 https://doi.org/10.36287/setsci.19.10.047
Bu çalışma, transformatörlerde alçak gerilim (AG) tijlerinin kararmasına yol açan aşırı ısınma sorunlarını ve bu sorunların çözümünü ele almaktadır. Transformatörler, elektrik enerjisini alçak gerilimden yüksek gerilime veya tam tersine çevirerek, enerjinin uz…