131 results for “Constrained optimization”
Research Article
Open Access An Experimental Investigation of the Temperature Effect on AntiResonance Frequency
Mesut TEKKALMAZ , TEKKALMAZ M, Gökhan Haydarlar, Haydarlar G
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Structural health monitoring is an interdisciplinary field that it is possible to identify defects in the structure or components of the structure at an early stage. The sensors used in structural health monitoring are called the piezoelectric wafer active sen…
Research Article
Open Access Comparing the Performance of Encryption Algorithms in ZigBee Based Wireless Sensor Networks
Cebrail Çiftlikli, Çiftlikli C, Kadir Aba, Aba K
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Wireless Sensor Networks, used widely nowadays, are likely to be unprotected against a variety of external attacks because they are often used in outdoor applications. Protecting the network against attack and ensuring the safety of the data has always been im…
Research Article
Open Access Rib Spacing Optimization of a Generic UAV Wing to Increase the Aeroelastic Endurance
Tolga Vergün, Vergün T, Ceyhun Tola, Tola C
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.032
Design and usage of Unmanned Aerial Vehicles (UAV) especially for military purposes has been rapidly increasing in recent years due to their capability to endure long flight durations without needing a crew and due to their low cost compared with the conventio…
Research Article
Open Access An Efficient Medical Diagnosis Algorithm Based on a Hybrid Neural Network with a Variable Adaptive Momentum and PSO Algorithm
Alaa Ali Hameed, Hameed A, Naim Ajlouni, Ajlouni N, Adem Özyavaş, Özyavaş A, Zeynep Orman, Orman Z, Ali Güneş, Güneş A
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.030
Neural Network has been used in a number of scientific fields including medical diagnosis. It is clear that classification is one of the main challenges in any medical diagnosis. However, the drawbacks of conventional neural network classifier are summarized a…
Research Article
Open Access Modelling and Controller Design for Ball and Beam System
O. Tolga Altinoz, Altinoz O, A. Egemen Yilmaz, Yilmaz A
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
Ball and beam system is an experimental set for control system design that the position of the ball on a beam is changed with respect to the reference direction by changing the angle of the beam. The PID controller is applied to this problem. The performance o…
Research Article
Open Access Modelling Flood Routing Using Hybrid Heuristic Algorithm
Umut Okkan, Okkan U, Barış Yılmaz, Yılmaz B
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
In the analysis of the flood routing problem, it is necessary to determine the change of the flood wave moving
through the channel according to time and location, and in this context, nonlinear 3-parameter Muskingum model (NL-MUSK)
is widely used. The parame…
Research Article
Open Access The Effects of Noise Distributions on Robust Design
Melis Zeybek, Zeybek M, Onur Köksoy, Köksoy O
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
Taguchi’s robust parameter design focuses on reducing the system variability caused by the noise factors. The results obtained under unrealistic assumptions about the noises may mislead the practitioners when it comes to improving quality in robust design. For…
Research Article
Open Access Cryptanalysis using Artificial Bee Colony Algorithm Guided by Frequency based Fitness Value
Arkan Kh Shakr Sabonchi, Sabonchi A, Bahriye Akay, Akay B
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
Researchers attention on the optimization methods to solve several applications increases recently by the advances in the technological field. The Artificial Bee Colony algorithm that has been quite popular during the recent years is firstly used in this study…
Research Article
Open Access Hyperparameter Optimization of a Faster R-CNN Model For Fault Detection In Quality Control
Abdullah Yüksel, Yüksel A, Oğuzhan Karahan, Karahan O
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.5.023
Quality control in the industry is becoming increasingly important as a result of increasing market competition and the need for quality products. The increasing complexity of industrial processes and the increase in the amount of data available have promoted …
Research Article
Open Access Dört Pervaneli İnsansız Hava Araçlarında PID Kazanç Optimizasyonu
Hakan Yılandil, Yılandil H, Mehmet İşcan, İşcan M
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.00114
Bu makalede, dört pervaneli bir insansız hava aracı (DPİHA) için tasarlanan duruş ve yükseklik kontrolörlerinin parametrelerinin optimizasyonunu gerçekleştirilmiştir. PID kontrolörlerinin uygun parametrelerinin belirlemek için ZieglerNichols (ZN) Yöntemi, Parç…
Research Article
Open Access YAPAY ARI KOLONİ ALGORİTMALARININ SÜRÜ ROBOT HEDEF BULMA PROBLEMİNE UYGULANMASI
M.Akif Fındıklı, Fındıklı M, A.Fatih Kocamaz, Kocamaz A
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Bu çalışmada Yapay Arı Koloni optimizasyon algoritmalarının üç varyantı sürü robotların hedef bulma probleminde
kullanılmıştır. Yapay arı kolonisi optimizasyon algoritmalarının Unity 3D ortamında simülasyonunu gerçekleştiren yazılım
geliştirilmiştir. Sürü ro…
Research Article
Open Access Economic Power Flow and Active Power Loss Minimization in Multiterminal HVDC Systems using Artificial Bee Colony Algorithm
Faruk Yalçın, Yalçın F, Uğur Arifoğlu, Arifoğlu U
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Optimal operation of the power systems is very important. In this paper, a new approach for both the economic active power flow and active power loss minimization in multi-terminal HVDC systems is proposed. In the proposed optimization approach, system constra…
Research Article
Open Access Optimization of Surface Roughness in Turning of 1.2344 Hot Work Tool Steel
Barış Özlü, Özlü B, Mahir Akgün, Akgün M, Hasan Basri Ulaş, Ulaş H, Halil Demir, Demir H
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
In the present study, the effects of cutting parameters on surface roughness were investigated in order to determine the optimum machining conditions for the hot work tool steel (155 HB), which is an important part of the mold industry. For this purpose, the m…
Research Article
Open Access Integration of Edge AI and Metaheuristic Algorithms for Advanced Optimization and Analytical Solutions in Future Smart Systems
Ali Berkol, Berkol A, İdil Gökçe Demirtaş, Demirtaş İ
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.005
This article presents a comprehensive examination of the integration of Edge AI and metaheuristic algorithms, highlighting its vast potential and applications across diverse domains. The synergistic integration of these technologies promises faster, smarter, a…
Research Article
Open Access Optimization of Raman Pumping in the Serial Hybrid Fiber Amplifier
Sura Al-gburi, Al-gburi S, Mudhafar Hussein Ali , Hussein Ali M, Thamer F. Almashhadani , Almashhadani T
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019
A serial hybrid optical amplifier composing of two amplification stages of erbium-doped fiber (EDF) amplifier covered C-band window and Raman fiber amplifier (RFA) covered L band window demonstrated. In this paper, the optimizations were done to obtain the opt…
Review
Open Access Body Design in Electric Microcars: A Review
Levent Bilal, Bilal L, Gündüz Seyhan, Seyhan G, Merve Karaca, Karaca M, Mehmet Murat Topaç, Topaç M
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
As the world is running out of fossil fuels and the environment is being seriously damaged by the combustion residuals
of the internal combustion engines, the world countries have begun to search alternative ways for mobility. Lightweight electric
vehicles w…
Research Article
Open Access Optimal Active Power Flow Solution in Multi-terminal AC-DC Systems through Artificial Bee Colony Algorithm
Faruk Yalçın, Yalçın F, Sezgin Kaçar, Kaçar S, Uğur Arifoğlu, Arifoğlu U
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
This paper presents a different approach for the optimal active power flow solution in multi-terminal AC-DC systems to minimize total active power generation cost. System constraints for all of the control and state variables of both AC and DC systems are also…
Research Article
Open Access Optimal Reactive Power Flow and Economic Power Dispatch in Multiterminal AC-DC Systems based on Genetic Algorithm
Faruk Yalçın, Yalçın F, Uğur Arifoğlu, Arifoğlu U
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Optimal reactive power flow and economic power dispatch is very important in power systems. Optimal reactive power flow provides minimum active power loss and economic power dispatch provides minimum active power generation cost in power systems. This study pr…
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 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…