Person: ERDAL, HASAN
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ERDAL
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HASAN
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Publication Metadata only Designing a Hardware and Software for the Performance Evaluation of Combustion Engine Equipped with Mechatronics System(2005-01-01) ERDAL, HASAN; Yurdagul E., ERDAL H., Baba F.In this study, a hardware and software system were designed to measure and evaluate the performance of a 1.6 16 V Ford Zetec motor. The factors effecting motor performance such as amount and temperature of air taken into the cylinders, temperature of the cooling liquid, data of motor cycle and upper dead point, opening time of the valves, state of gas regulator and quantity of the oxygen in exhaust were measured and computerized. In order to determine the operational characteristics of these sensors a series of experiments were carried out. A software was developed by delphi programming in order to register and display the data coming from the sensors.Publication Metadata only Designing a virtual reality programming environment for quantum computers(WILEY) ERDAL, HASAN; Genc, Hasan Hakan; Aydin, Serkan; Erdal, HasanQuantum computation based on quantum physics is spreading rapidly with many interdisciplinary studies from machine learning to genetics. After the unveiling of real quantum computers, this process has been rising almost exponentially. We are about to experience an effect with quantum computers similar to the effect created by the process from the first electromechanical computers to very large-scale integrated circuit computers. In the programming of quantum computers, we are in a similar place to programming classical computers at an early stage. There are various models in quantum computing, and the most widely used model is quantum gates. Therefore, an easy and practical understanding of the behavior of the gates used in the programming of quantum computers is of great importance. To realize this process, a virtual reality (VR)-based teaching platform of quantum computer programming called QU-VR Education Tool was designed by using Unity 3D VR. In the creation of this design, IBM's so-called Quantum Composer platform and Microsoft Quantum Katas were taken as a reference. In this study, the design process and usage of a novel VR-based platform are presented in detail.Publication Open Access An internet-based real-time remote automatic control laboratory for control education(ELSEVIER SCIENCE BV, 2010) ERDAL, HASAN; Ugur, Mehmet; Savas, Kenan; Erdal, Hasan; Uzunboylu, HThis paper describes a web based remote automatic control lab, RACL, system. This is a system that enables students do real time control experiments from a remote location (e.g. their homes) using internet and an ordinary web browser. By using this system one can select an experiment, launches that experiment, and examines real time experiment outputs by looking at charts. This system brings hope for reducing costs and improving control education quality. (C) 2010 Elsevier Ltd. All rights reserved.Publication Metadata only Controlling of grid connected photovoltaic lighting system with fuzzy logic(PERGAMON-ELSEVIER SCIENCE LTD, 2010) ERDAL, HASAN; Saglam, Safak; Ekren, Nami; Erdal, HasanIn this study, DC electrical energy produced by photovoltaic panels is converted to AC electrical energy and an indoor area is illuminated using this energy. System is controlled by fuzzy logic algorithm controller designed with 16 rules. Energy is supplied from accumulator which is charged by photovoltaic panels if its energy would be sufficient otherwise it is supplied from grid. During the 1-week usage period at the semester time, 1.968 kWh energy is used from grid but designed system used 0.542 kWh energy from photovoltaic panels at the experiments. Energy saving is determined by calculations and measurements for one education year period (9 months) 70.848 kWh. (C) 2009 Elsevier Ltd. All rights reserved.Publication Open Access Çok sınıflı ve dengesiz eğitimsel veri kümesiyle yükseköğretim planlama ve karar destek sistemi: Teknoloji fakültesi örneği(2023-04-01) ERDAL, HASAN; Yılmaz E., Altıkardeş A. Z., Erdal H.Eğitimsel Veri Madenciliğinin alt dalı olan akademik performans tahminiyle ilgili çalışmaların son yıllarda attığı görüldü. Gerçek ortamlarda eğitimsel veri kümeleri çoğunlukla sınıf dengesizliğine ve çok sınıflı hedef değişkene sahip olduğu ancak bu veri kümesi ile yapılan çalışmaların literatürde az olduğu görüldü. Bu bağlamda, bu çalışmada, 23.05.2022-286783 etik no kararı ile Marmara Üniversitesi (MÜ) Teknoloji Fakültesi (TF) öğrencilerine ait veri seti kullanılarak, çok sınıflı dengesiz eğitimsel veri kümesiyle, riskli öğrencileri tespit etmek için öğrenci mezuniyet durum tahmini yapıldı. Veri ön işleme ve özellik seçimi (FS) aşamalarıyla 1394 örneklem ve 11 özellik elde edildi. 2016 yılına ait 153 öğrenci sağlamlık kontrolü için kullanıldı. 7 farklı FS ile elde edilen 11, 7 ve 5 özellik içeren 3 farklı veri kümesi oluşturuldu. 9 farklı örnekleme yöntemi ve 16 farklı makine öğrenmesi algoritması kullanılarak birbirinden farklı 750 model oluşturuldu. Modellere sağlamlık kontrolü yapıldı. Başarı ölçütü olarak F1 Score ve Repeated Stratified 5*5 fold-CV kullanıldı. Hiper parametre ayarları GridSearchCV ile yapıldı. Sonuç olarak RandomOverSampler + RandomForest F1 Score 0.9935 değeriyle en başarılı algoritma olmasına rağmen, en başarılı ve en tutarlı modeller 7 özellikli, None+ET, None+MLP, None+Bagging_DT ve None+RF modelleri oldu. Bu modellerle karar destek sistemi web uygulaması geliştirilerek MÜ TF öğretim üyelerine sunulduPublication Metadata only MATLAB / Simulink tabanlı otomatik kod üretimi ve gömülü anti-windup PI denetleyici tasarımı(2014-09-11) ERDAL, HASAN; SAYIN, FATİH SERDAR; ERDAL H., SAYIN F. S.Publication Metadata only Industry 4.0 and engineering education: The case of modular production dystem(2020-12-30) ERDAL, HASAN; TAŞKIN S., TUNÇALP B. K., ERDAL H.Publication Metadata only Development of a driving cycle for Istanbul bus rapid transit based on real-world data using stratified sampling method(PERGAMON-ELSEVIER SCIENCE LTD, 2019) ERDAL, HASAN; Kaymaz, Habib; Korkmaz, Hayriye; Erdal, HasanEnvironmental as well as financial issues forces to develop clean, efficient, and sustainable vehicles which constitutes an integral part of our daily life for urban transportation. Nevertheless, exhaust emissions of conventional internal combustion engine vehicles are the major source of global warming lead greenhouse effect. One solution for this issue is hybridization/electrification of the vehicles. One of the most important tools which can help to test performances of technical solutions systematically is driving cycles representing real driving conditions for vehicle emissions testing and estimation. When the history of the driving cycles was reviewed, it can be seen that there were big changes from constructing synthetically to real world cycles and from emission-focused cycles to emission, pollution and fuel consumption focused cycles. And now, a new application such as hybridization and/or electrification has been added to driving cycles. Main aim of this study is to create a practical driving cycle for Bus Rapid Transit (BRT) vehicles. To do this, characteristic driving parameters such as speed, distance, time, acceleration have been determined first. Data acquisition from conventional vehicles running on Istanbul route was performed and then data were analysed. A driving cycle was developed by using Proportional Stratified Sampling (PSS) technique. Comparison between constructed driving cycle and the real-world data show that difference is less than 10%. And so, it can be concluded that proposed driving cycle was acceptable.Publication Open Access Product recommendation system with explicit feedback using deep learning methods(2020-10-23) ALTIKARDEŞ, ZEHRA AYSUN; ERDAL, HASAN; KANTEPE E., ALTIKARDEŞ Z. A., ERDAL H.Publication Metadata only Modeling of Hybrid Wind-Gas Power Generation System and Adaptive Neuro-Fuzzy Controller to Improve the System Performance(WILEY, 2010) ERDAL, HASAN; Oguz, Yuksel; Guney, Irfan; Erdal, HasanIn this study, dynamic modeling of the hybrid wind-gas power generation system (HWGPGS) is realized by using the MATLAB/Simulink program for purpose of meeting the electric energy needs of small settlement units far from city centers or energy distribution networks. Besides, Adaptive Neuro-Fuzzy Inference System (ANFIS) is used to ensure electrical output magnitudes of the hybrid power generation system at a desired operating performance. The components that build up the hybrid power generation system and its functions in the system are explained. In case the HWGPGS is loaded with different consumer loads, analysis of electrical magnitudes of the system is made through simulation results. As it can be seen from the results of simulation study realized for the hybrid power generation system, output electrical magnitudes of the ANFIS controlled system reach to desired operating values in a short time. (C) 2009 Wiley Periodicals: Inc. Comput Appl Eng Educ 18: 669-683, 2010: View this article online at wileyonlinelibrary.com; DOI 10.1002/cae.20271