161 results for “Signal Generation”
Research Article
Open Access Experimental Investigation of the Effect of Still Water Cooling on Electricity Generation at Thermoelectric Generator by Solar Energy Heat Pipe
Engin Özbaş, Özbaş E
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
In this study, the effect of still water cooling on electricity generation in a thermoelectric generator heated by solar energy heat pipe is experimentally investigated. For this purpose, a heat pipe with ethyl alcohol as the working fluid has been manufacture…
Research Article
Open Access Web Based AIS31 Test Software For Random Number Generators
Erdinç Avaroğlu, Avaroğlu E, Recai Sinekli, Sinekli R, Veli Yıldız, Yıldız V, Hakan Gülcan, Gülcan H
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
Several test suites have been developed to test the statistical properties of random numbers generated from pseudotrue random number generators. Some of these are Crypt-X, Diehard, FIPS 140, NIST 800-22 AIS31 test suites. In this study, web based application o…
Research Article
Open Access Bilgisayar Laboratuvarlarında Soket İletişim İle Görüntü İşlemeye Dayalı Yoklama Sistemi Tasarımı
Sedat Turan, Turan S
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
Bilgi ve iletişim teknolojisindeki büyük gelişmelerin bilgisayar kullanımını ve uygulamalı eğitimi zorunlu kıldığı bir zamanda yaşamaktayız. Bu çalışmada, bilgisayar laboratuvarı sınıflarında rutin yoklama işleminin görüntü işleme tekniklerinden yüz tanıma ile…
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 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 Execution Certificates for Open Finance: Auditable Data Availability, Latency, and Cost in Learned Lead–Lag Trading
Eric Benhamou, Benhamou E, Jean-Jacques Ohana, Ohana J, Beatrice Guez, Guez B, Thomas Jacquot, Jacquot T, Ethan Setrouk, Setrouk E, Chamyl Saadi, Saadi C
Proceedings of the International Conference on Open Finance (ICOF 2026) 2026 https://doi.org/10.36287/setsci.25.2.001
Open-finance interfaces make market data and trading services programmable, but an API response is not an executable signal. Economic information depends on data receipt, inference completion, and feasible order arrival. We propose an execution certificate: a …
Research Article
Open Access AICrypto‑Assistant: A Multi‑Agent LLM Platform for Democratizing Crypto‑Asset Analysis
Mimoza Dimodugno, Dimodugno M, Mehdi Mammadov, Mammadov M
International Conference on Open Finance 2025 https://doi.org/10.36287/setsci.24.2.017
Market democratization through conversational AI represents a critical frontier in financial technology, yet cryptocurrency analysis remains dominated by institutional players with sophisticated toolchains. We introduce AICrypto-Assistant, the first open-sourc…
Research Article
Open Access BIM Cost Management: ROI on BIM Implemented Projects in the Construction Industry
Mustafa Nabi Kocakaya, Kocakaya M, Yasin Celik, Celik Y, Omer Giran, Giran O, Osman Hurol Turkakin, Turkakin O
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.54.001
This study investigates the return on investment (ROI) of Building Information Modelling (BIM) in the construction industry and addresses common barriers to its adoption such as high start-up costs and lack of familiarity with the technology. Despite its prove…
Research Article
Open Access Preserving the past: Capturing heritage with 3D laser scanning technology
Jasna Grujoska-Kuneska, Grujoska-Kuneska J, Veronika Shendova, Shendova V
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.9.001
Heritage buildings are valuable cultural and historical assets that create tangible connection to our past and provide many social and economic benefits. These buildings are often threatened by various environmental and human factors, which impose the need for…
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 Explainable Multi-Task Deep Learning for Blood Glucose Forecasting: A Lightweight, Interpretability Focused Approach
Sarmad Maqsood, Maqsood S, Muhammad Abdullah Sarwar, Sarwar M, Egle Belousoviene, Belousoviene E, Rytis Maskeliünas , Maskeliünas R
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.4.001
Accurate and transparent blood glucose forecasting is crucial for effective diabetes management. This paper presents an interpretable deep learning (DL) framework based on multi-task learning (MTL) for forecasting glucose levels at multiple prediction horizons…
Research Article
Open Access Öneri Sistemlerinde Kişilik Özelliklerine Göre Performans ve Popülerlik Yanlılığı Analizi
Tuğba Türkoğlu Kaya, Türkoğlu Kaya T
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.9.001
Öneri sistemleri, kullanıcıların tercihlerine dayalı olarak kişisel ve memnuniyetin ön planda olduğu öneriler sunmayı amaçlamaktadır. Ancak her ne kadar amaç doğrultusunda hareket edilmeye çalışılsa da, önerilerde popüler yanlılığı problemi ile karşılaşılmakta…
Research Article
Open Access Brain Tumor Classification Using Fine-Tuned Transfer Learning
Mustafa Suban Dut, Dut M, Meriç Çetin, Çetin M
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.10.001
Brain tumor is a progressive disease that significantly affects human life. These diseases can reduce the quality of life by causing losses in motor and cognitive functions. Since the chance of treatment decreases when not diagnosed early, advanced technologie…
Research Article
Open Access Bir Yüzme Merkezi Desen Üreteci için Basit Bir Kontrolör Mekanizmasının Nümerik Analizi
Yavuz Cura, Cura Y, Nimet Korkmaz, Korkmaz N
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.40.001
Bu çalışma, en ilkel omurgalı canlılardan biri olan taşemen balığının yüzme deseninin oluşturulması amacıyla, bir sinüzoidal osilatör ve birkaç birinci dereceden alçak geçiren filtre ile oluşturulan basit bir merkezi desen üreteci (Central Pattern Generator-CP…
Research Article
Open Access Bitki Hastalıklarını Tespit Eden Görüntü İşleme Sistemli Mobil Uygulama
Yiğitcan Soylu, Soylu Y, Mustafa Altıok, Altıok M
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.43.001
Bitkilerde hastalıkların erken teşhisi, tarımsal verimliliğin artırılması ve ürün kayıplarının önlenmesi açısından büyük öneme sahiptir. Bu çalışmada, tarımsal üretimde önemli kayıplara yol açan bitki yaprak hastalıklarının erken teşhisine yönelik bir yapay ze…
Research Article
Open Access El Yazısı Karakterlerin Tanınmasında Derin Sinir Ağlarının Etkinliği Kısıtlı ve Geniş Sınıf Yapılarının Performans Analizi
Erdin Fidan, Fidan E, Mahir Kaya, Kaya M
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.65.001
Bu çalışmada, el yazısı karakterlerin tanınmasına yönelik derin öğrenme tabanlı bir model geliştirilmiştir. Model, farklı sayıda çıkış sınıfı (karakter) için test edilmiş; yalnızca 10 karakterin sınıflandırıldığı senaryoda %96 doğruluk oranı elde edilirken, sı…
Research Article
Open Access A Comparative Evaluation of Blockchain Consensus Algorithms in Terms of Energy Efficiency and Performance Metrics
Doğukan Çatal, Çatal D, Mehtap Köse Ulukök, Köse Ulukök M
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.33.001
This study presents a comparative evaluation of five widely adopted blockchain consensus algorithms—Proof of Work (PoW), Proof of Stake (PoS), Delegated Proof of Stake (DPoS), Practical Byzantine Fault Tolerance (PBFT), and Proof of Authority (PoA)—based on en…
Research Article
Open Access Grid-Aware Electric Vehicle Charging Interface Design
Emir Alaca, Alaca E, Seçil Varbak Neşe, Neşe S
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.8.043
Fossil fuels used by traditional internal combustion vehicles today are quite damaging to environment. Because of these fuels, global warming has reached a very dangerous point. However, fossil fuels are gradually depleting. Therefore, it is inevitable that el…
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 Prediction of Recurrence of Differentiated Thyroid Cancer with Hybrid SMOTE-Stacking Model
Erkan Akkur, Akkur E, Serkan Cizmecioğulları, Cizmecioğulları S, Ahmet Cankat Öztürk, Öztürk A
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.6.033
Differentiated thyroid cancer (DTC) is the most frequent form of thyroid cancer. Although this type of cancer shows a favourable prognosis, the risk of recurrence remains a critical concern. Early and accurate prediction of the risk of recurrence is essential …