Profile URL: https://hdl.handle.net/20.500.13091/11655
Job Title:Dr. Öğr. Üyesi
Email Address:kerdogan@ktun.edu.tr
Main Affiliation:02.04. Department of Electrical and Electronics Engineering
Status: Current Staff
ORCID:
0000-0001-7433-2516
0000-0001-7433-2516Scopus ID:
57191729340
57191729340YÖK Akademik: BECF582D739DC27C
Google Scholar:
ItaDlnkAAAAJ
ItaDlnkAAAAJWeb of Science ID:
AAD-5691-2021
AAD-5691-2021Name Variants:
Erdogan, Kemal
13 results
Scholarly Output Search Results
Now showing 1 - 10 of 13
Article Development and Performance Analysis of a Hybrid Filtering Method for IMU-Based Dynamic Tilt Sensor(2026) Dereli, İsmail; Erdogan, KemalAdvancements in MEMS (micro-electromechanical systems) technology have significantly improved the accuracy and integration potential of IMU (inertial measurement unit) based tilt sensors across various applications. However, in dynamic environments, external accelerations and vibrations adversely affect sensor performance and this leads to noise. This study proposes a dynamic tilt sensor device integrating a 6-axis IMU and implements multiple filtering strategies, that are Kalman Filter, Moving Average Filter, and Low-Pass Filter aimed at minimizing angle measurement errors. A custom test platform was developed to evaluate filter performance under dynamic conditions. The results, evaluated using RMSE (root mean square error) metrics, show that a specially designed hybrid filtering method combining the three filters achieves an average error of 0.017° in static and 1.178° in dynamic conditions. The findings demonstrate that the proposed hybrid approach offers a reliable alternative comparable to existing solutions in literature, enhancing measurement stability and accuracy in industrial applications.Article Extraction of Thevenin-Based Equivalent Circuit of Multi-Cell Lead Acid Battery Pack and Soc Estimation(2024) Arabacı, Hayri; Erdoğan, KemalLead acid batteries are widely used in UPS due to their cheapness. In case of mains power failure, the length of the operating period powered by the battery depends on the energy capacity of the battery. In this case, predicting the remaining time depending on usage is important for the healthy operation of the system. Determining the remaining time can be done by monitoring the SoC of the batteries. SoC monitoring can be done using equivalent circuit models of the battery. In systems where a single battery cell is used, the equivalent circuit is generally considered for a single cell. Nowadays many serially connected batteries are used in UPS. In this case, it becomes difficult to make calculations in the equivalent circuit created by connecting the single cell equivalent circuit in series. In this study, the approach of using a single equivalent circuit model to be created for the entire system is proposed. In the study, the Thevenin equivalent circuit model of an uninterruptible power supply battery group, in which 8 batteries (12V) are connected in series, was created with only three parameters. The accuracy of the created equivalent circuit was ensured by comparing it with the values calculated using the current counting method. First, the discharge curve of the battery was obtained. SoC-Open Circuit Voltage graph was created from these curves. Equivalent circuit parameters were calculated from the dynamic behavior of the battery. During the process of fully discharging the battery, the values of SoC corresponding to the battery voltage were determined by counting the current. The values of SoC obtained because of the current counting process were compared with the values calculated through the equivalent circuit. As a result of the comparisons, an average accuracy rate of 99.85% was achieved in estimating the SoC. These results show that the proposed method can be used to estimate the SoC in systems using serially connected batteries.Article Citation - WoS: 1Citation - Scopus: 3An Approach for Learning From Robots Using Formal Languages and Automata(EMERALD GROUP PUBLISHING LTD, 2019) Aslan, Muhammet Fatih; Durdu, Akif; Sabancı, Kadir; Erdogan, KemalPurpose In this study, human activity with finite and specific ranking is modeled with finite state machine, and an application for human-robot interaction was realized. A robot arm was designed that makes specific movements. The purpose of this paper is to create a language associated to a complex task, which was then used to teach individuals by the robot that knows the language. Design/methodology/approach Although the complex task is known by the robot, it is not known by the human. When the application is started, the robot continuously checks the specific task performed by the human. To carry out the control, the human hand is tracked. For this, the image processing techniques and the particle filter (PF) based on the Bayesian tracking method are used. To determine the complex task performed by the human, the task is divided into a series of sub-tasks. To identify the sequence of the sub-tasks, a push-down automata that uses a context-free grammar language structure is developed. Depending on the correctness of the sequence of the sub-tasks performed by humans, the robot produces different outputs. Findings This application was carried out for 15 individuals. In total, 11 out of the 15 individuals completed the complex task correctly by following the different outputs. Originality/value This type of study is suitable for applications to improve human intelligence and to enable people to learn quickly. Also, the risky tasks of a person working in a production or assembly line can be controlled with such applications by the robots.Publication Human Robot Interaction to Guide a Person(2018) Komur, Hasan; Ceylan, Rahime; Erdoğan, Kemal; Durdu, AkifSome people need to be guided in various cases. If this guide is a robot, there will be an interaction between human and robot. In this study, an experiment made with 15 people to show that an interaction could be established between the human and a robotic arm which is aiming to guide the human to solve a simple puzzle. Three objects were used in the experimental setup. Objects were chosen in the shape of rectangular prism and each has different size and color. A Kinect sensor was used to monitor and record the experiments. Also with these records a dataset was created which could be used for jobs like object recognition and object tracking. A six axis robotic arm was operated with an algorithm which was modeled by Finite State Machine (FSM). In the end of experiments users were asked to fill in a questionnaire. According to the answers and records it is concluded that an interaction occurs between a robotic arm and human easily. %73.33 of the users got the message from robotic arm and solved the problem successfully.Article Kolluk Kuvvetleri Tarafından Yapılan Araç Denetimlerindeki Verimliliğinin Artırılmasını Amaçlayan Plaka Tanıma Sistemi(2021) Çelik, Rumeysa; Erdoğan, KemalYapılan bu çalışmada amaç kolluk kuvvetleri tarafından yapılan araç denetimlerinin verimliliğinin artırılmasıdır. Özellikle trafik akışının yoğun olduğu bölgelerde tüm araçlarda inceleme yapılamadığından dolayı denetimlerin verimliliği düşmektedir. Nizami bir aracın seyahat halinde iken birden çok kontrol noktasında tekraren durdurulmasının önüne geçilmesini, hakkında ihbarda bulunulmuş plakaya sahip aracın tespit edilen ilk noktada muhakkak durdurulmasını hedefleyerek denetimlerin verimliliğini artırmak hedeflenmiştir. Tasarlanan bu sistemde görüntü işleme ve KNN gibi teknikler ile okunan plaka tarih bilgisi ile veri tabanına kaydedilmekte, plakanın önceki son görüntülendiği tarihe göre hesaplama yapılmakta ve denetim noktasından sık sık geçen araçların ekstra denetiminin yapılmasının önüne geçilmektedir. Bu sayede denetim yapan ekibin işi kolaylaştırılmakta, aynı bölge içerisindeki nizami araçların sık sık denetime girmesinin önüne geçilmekte ve bazı sürücüler için de zaman kaybı oluşması önlenmektedir. Yapılan denemelerde gerçek zamanlı çalışan KNN ile plaka tanıma sisteminde yaklaşık olarak %67 doğruluk oranı tespit edilmiştir. Sistemin daha başarılı çalışabilmesi plaka tanıma işi için derin öğrenme metotlarının kullanılması önerilmektedir.Master Thesis Dinamik Eğim Sensörü Cihazının Tasarlanması ve Ölçüm Stabilitesini Arttırma Amaçlı Çeşitli Metotların Kullanılması(Konya Teknik Üniversitesi, 2024) Dereli, İsmail; Erdoğan, KemalMEMS teknolojisindeki gelişmeler ile birlikte bu teknolojiyi içeren IMU (Atalet Ölçüm Birimi) cihazlarının da kullanımı yaygınlaşmıştır. Endüstriyel uygulamalarda kullanılan IMU' ların kullanım alanına göre çok hassas olarak ölçüm yapması gerekebilmektedir. Bu hassas ölçümler gelişen IMU teknolojisi sayesinde ne kadar mümkün olsa da bazı dış faktörler IMU' ların ölçüm doğruluğunu etkileyebilmektedir. Bu dış faktörlerin en önemlileri harici ivme ve titreşimlerdir. Cihazın bağlı olduğu sistemdeki harici ivme ve titreşimler IMU içerisindeki mekanik yapıyı olumsuz etkilemektedir ve ölçüm hatalarına sebep olmaktadır. Buna çözüm olarak literatürde kalman filtresi, alçak geçiren filtre vb. filtreler kullanılarak bu hataların en aza indirgenmesi sağlanmaktadır. Bu çalışmada içerisinde 6 eksen IMU içeren bir dinamik eğim sensörü cihazı tasarlanmıştır ve içerisine kalman filtresi, ortalama kayan filtre, alçak geçiren filtre yazılımsal olarak entegre edilmiştir. Hazırlanan test platformu ve veri kayıt sistemi ile harici ivmeli durumlarda tasarlanan eğim sensörü içerisindeki filtrelerin performansları bilgisayar ortamında analiz edilmiştir. RMSE metodu kullanılarak yapılan analizlerde sensörün derece cinsinden ölçüm hata miktarları karşılaştırılmıştır. Çalışmanın son aşamasında ise bu 3 filtrenin birlikte çalıştığı hibrit filtreleme metodu tasarlanmıştır. Hibrit filtreleme metodu literatürdeki çalışmalarda sıkça kullanılan bir metottur. Bu çalışmada ise kalman filtresi ve alçak geçiren filtre ile birlikte, tasarlanan ortalama kayan filtrenin de bu hibritleştirme işlemine dahil edilmesidir. Çalışma kapsamında tasarlanan bu özel hibrit filtreleme metodu sonucunda statik testlerde ortalama 0.017°, dinamik testlerde ise ortalama 1.177° hata değerleri alınmıştır. Analiz sonuçları ışığında bu çalışmadaki hibrit filtreleme metodunun literatürdeki diğer hibrit filtreleme metotlarına göre daha yakın veya başarılı sonuç verdiği görülmektedir.Article Reshaping Human Intention on Human-Machine Interaction by Using Holograms(Konya Technical University, 2020-12-31) Erdoğan, Kemal; Durdu, Akif; Ceylan, RahimeDecision making could be critically important for people in some situations. People have intentions to choose a side if it is time to make decision. These intentions are strongly related to the knowledge and experience. But sometimes outer effects could reshape their intentions easily. In this paper, an experimental work is studied for Human-Machine Interaction in which if holograms could change or affect the human intention. And also the question which asks whether people trust on a hologram agent while making decision or not is researched. To study this research, a memory game application is developed and this application is run on Microsoft Hololens device. Hololens is used to maintain the Augmented Reality (AR) environment with holograms. An algorithm with a Finite State Machines (FSM) is developed to manage the response of hologram agent while giving hint to the confused users. The accuracy of the hints changes nonlinearly. 3 different game stages are trained on users to see how they are affected by both virtual and real world noises. According to the results, intention of majority of users was affected by the hologram while making the decisions. Also it is observed that some users who were concentrated too much to memorize the order of objects did not realize the hologram, and some few could not understand the actions of hologram.Article Citation - WoS: 2Citation - Scopus: 2The Use of Augmented Reality in the Teaching and Training of Basic Exercises Involved in the Non-Surgical Treatment of Neck Pain(Springer London Ltd, 2022-12-30) Erdoğan, Kemal; Ceylan, Rahime; Albayrak Gezer, İlknur; Gezer, IlknurAlbayrakIn this study, a new holographic supervision method was developed that enables patients to correctly apply the exercise movements associated with the non-surgical treatment of neck pain. The proposed method uses augmented reality technology to teach patients the correct exercise movements and supervise them, ensuring that they perform these exercises correctly. Previous studies have shown that patients generally do not adhere to prescribed treatments or may not perform the required exercises correctly. Thus, this system was developed to ease the workload of physical therapists and medical doctors. It uses a head-mounted device named HoloLens as well as some markers. Exercise movements are first taught to patients using holographic videos, guiding holograms, and sounds. The movements of the patients are subsequently observed using the sensors available on the HoloLens as well as markers placed around the patient to ensure that patients maintain the correct angle, duration, and the number of repetitions during the exercises. A methodology that employed finite-state machines was used to develop this software. To quantify the benefits of this system, tests were conducted on a total of 30 participants that were split equally into a control group and an experimental group. The duration, repetition, and angle error rates in the control group (who did not use the device) were 36.4%, 8%, and 27.3%, respectively; the corresponding error rates in the experiment group (who were provided with the device) were 0%, 0%, and 9.1%. Thus, a system has been developed that can address the issue of patients who do not adhere to treatment programs or apply them incorrectly. This study represents the first time that the exercises for the treatment of neck pain were taught and supervised with holograms instead of physical therapists.Article Kolluk Kuvvetleri Tarafından Yapılan Araç Denetimlerindeki Verimliliğinin Artırılmasını Amaçlayan Plaka Tanıma Sistemi(2021) Çelik, Rumeysa; Erdoğan, KemalYapılan bu çalışmada amaç kolluk kuvvetleri tarafından yapılan araç denetimlerinin verimliliğinin artırılmasıdır. Özellikle trafik akışının yoğun olduğu bölgelerde tüm araçlarda inceleme yapılamadığından dolayı denetimlerin verimliliği düşmektedir. Nizami bir aracın seyahat halinde iken birden çok kontrol noktasında tekraren durdurulmasının önüne geçilmesini, hakkında ihbarda bulunulmuş plakaya sahip aracın tespit edilen ilk noktada muhakkak durdurulmasını hedefleyerek denetimlerin verimliliğini artırmak hedeflenmiştir. Tasarlanan bu sistemde görüntü işleme ve KNN gibi teknikler ile okunan plaka tarih bilgisi ile veri tabanına kaydedilmekte, plakanın önceki son görüntülendiği tarihe göre hesaplama yapılmakta ve denetim noktasından sık sık geçen araçların ekstra denetiminin yapılmasının önüne geçilmektedir. Bu sayede denetim yapan ekibin işi kolaylaştırılmakta, aynı bölge içerisindeki nizami araçların sık sık denetime girmesinin önüne geçilmekte ve bazı sürücüler için de zaman kaybı oluşması önlenmektedir. Yapılan denemelerde gerçek zamanlı çalışan KNN ile plaka tanıma sisteminde yaklaşık olarak %67 doğruluk oranı tespit edilmiştir. Sistemin daha başarılı çalışabilmesi plaka tanıma işi için derin öğrenme metotlarının kullanılması önerilmektedir.Conference Object Citation - Scopus: 3Human Robot Interaction To Guide a Person(IEEE, 2018) Erdoğan, Kemal; Kömür, Hasan; Durdu, Akif; Ceylan, RahimeSome people need to be guided in various cases. If this guide is a robot, there will be an interaction between human and robot. In this study, an experiment made with 15 people to show that an interaction could be established between the human and a robotic arm which is aiming to guide the human to solve a simple puzzle. Three objects were used in the experimental setup. Objects were chosen in the shape of rectangular prism and each has different size and color. A Kinect sensor was used to monitor and record the experiments. Also with these records a dataset was created which could be used for jobs like object recognition and object tracking. A six axis robotic arm was operated with an algorithm which was modeled by Finite State Machine (FSM). In the end of experiments users were asked to fill in a questionnaire. According to the answers and records it is concluded that an interaction occurs between a robotic arm and human easily. %73.33 of the users got the message from robotic arm and solved the problem successfully.
Research Topics
Domains
Physical SciencesHealth Sciences
Fields
Computer ScienceEngineeringMedicine
Subfields
Computer Vision and Pattern RecognitionControl and Systems EngineeringRehabilitationHuman-Computer InteractionIndustrial and Manufacturing Engineering
Specific Research Areas
Robotic Path Planning Algorithms
Robot Manipulation and Learning
Stroke Rehabilitation and Recovery
Virtual Reality Applications and Impacts
Industrial Vision Systems and Defect Detection
Sustainable Development Goals
16PEACE, JUSTICE AND STRONG INSTITUTIONS
1
Research Products
Scopus data could not be loaded because of an error. Please refresh the page or try again later.
Documents
5
Citations
11
Publication Collaboration
| Affiliation Name | Count |
|---|---|
| Konya Technical University | 8 |
| Selçuk University | 3 |
| Northeastern University | 1 |
| Karamanoğlu Mehmetbey University | 1 |
1 / 1
Data obtained from OpenAlex
| Journal | Count |
|---|---|
| European Journal of Science and Technology | 2 |
| 2018 2ND INTERNATIONAL SYMPOSIUM ON MULTIDISCIPLINARY STUDIES AND INNOVATIVE TECHNOLOGIES (ISMSIT) | 1 |
| 24th International Conference on Mobile and Ubiquitous Multimedia-MUM -- Dec 01-04, 2025 -- Enna, Italy | 1 |
| Bozok Journal of Engineering and Architecture | 1 |
| INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION | 1 |
Current Page: 1 / 2
Scholarly Output
13
Articles
8
Views / Downloads
38/64
Supervised MSc Theses
1
Supervised PhD Theses
1
WoS Citation Count
3
Scopus Citation Count
8
Patents
0
Projects
1
WoS Citations per Publication
0.23
Scopus Citations per Publication
0.62
Open Access Source
9
Supervised Theses
2
Scopus Quartile Distribution
Competency Cloud
