Erkan Kaplanoglu - Academia.edu (original) (raw)

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Papers by Erkan Kaplanoglu

Procedia - Social and Behavioral Sciences, 2015

Applied computer laboratory lessons could be unproductive because of many students in there. Corr... more Applied computer laboratory lessons could be unproductive because of many students in there. Correcting students' mistakes one by one is wasting lesson time. Especially for beginners, most of these mistakes caused by complex integrated development environments. In this study, we develop a client server application for computer laboratories. Developed application is able to compile programming language source code remotely. Thus, students don't need to make something out of the writing source code. Furthermore, instructors don't need to install compiler to the each computer in laboratory. For start lesson, it is enough that server has just been configured.

DergiPark (Istanbul University), Jun 1, 2009

Bu çalışmada, Marmara Üniversitesi Mekatronik Eğitimi Bölümünde bulunan Lucas Nülle firmasına ait... more Bu çalışmada, Marmara Üniversitesi Mekatronik Eğitimi Bölümünde bulunan Lucas Nülle firmasına ait AC Senkron Servo Motor seti, eğitim amaçlı, konum kontrolü yapan deney setine dönüştürülmüştür. Öğrencilerin deney setini daha efektif kullanabilmeleri için Siemens firmasına ait WinCC Flexible yazılımı ile bir ara yüz tasarlanmıştır. Konum, hız ve tork kontrollerinin yapılması için üç ayrı deney föyü hazırlanmıştır. Hazırlanan deney setinde AC motor kontrolünün yanı sıra bağımsız olarak PLC(Siemens S7-300) , Servo inverter (Lenze 9300 Position Control) kullanarak scada ve PLC'nin ileri seviye eğitimleri hedeflenmiştir. Yapılan bu çalışma, Mekatronik bölümü müfredatında bulunan Elektromekanik sistemler, Kontrol sistemleri ve Ölçme derslerinde kullanılacaktır.

Discover Artificial Intelligence, Jan 30, 2023

A broad range of medical diagnoses is based on analyzing disease images obtained through high-tec... more A broad range of medical diagnoses is based on analyzing disease images obtained through high-tech digital devices. The application of artificial intelligence (AI) in the assessment of medical images has led to accurate evaluations being performed automatically, which in turn has reduced the workload of physicians, decreased errors and times in diagnosis, and improved performance in the prediction and detection of various diseases. AI techniques based on medical image processing are an essential area of research that uses advanced computer algorithms for prediction, diagnosis, and treatment planning, leading to a remarkable impact on decision-making procedures. Machine Learning (ML) and Deep Learning (DL) as advanced AI techniques are two main subfields applied in the healthcare system to diagnose diseases, discover medication, and identify patient risk factors. The advancement of electronic medical records and big data technologies in recent years has accompanied the success of ML and DL algorithms. ML includes neural networks and fuzzy logic algorithms with various applications in automating forecasting and diagnosis processes. DL algorithm is an ML technique that does not rely on expert feature extraction, unlike classical neural network algorithms. DL algorithms with high-performance calculations give promising results in medical image analysis, such as fusion, segmentation, recording, and classification. Support Vector Machine (SVM) as an ML method and Convolutional Neural Network (CNN) as a DL method is usually the most widely used techniques for analyzing and diagnosing diseases. This review study aims to cover recent AI techniques in diagnosing and predicting numerous diseases such as cancers, heart, lung, skin, genetic, and neural disorders, which perform more precisely compared to specialists without human error. Also, AI's existing challenges and limitations in the medical area are discussed and highlighted.

2021 International Conference on Engineering and Emerging Technologies (ICEET), 2021

The widespread use and adoption of collaborative robots are highly dependent on reliable human-ro... more The widespread use and adoption of collaborative robots are highly dependent on reliable human-robot interaction in manufacturing. The principle for collaborative robot motions is a comprehensive model of the respective surrounding and in particular of the humans involved in the interaction. This requires, for instance, the recognition of speech, gesture, or emotion. Gesture refers to perceiving significant appearances of human movement, including the hand, arms, face, and body. As of late, there has been a tremendous interest in presenting Electromyogram (EMG) based natural interfaces that can perceive the user's hand movements and make an interpretation of them into advanced orders. In this study, a 7-axis collaborative robot was controlled via biosignals. For implementing the interaction, an ABB YuMi® collaborative robot was used. The robot has been adapted for remote control via a wearable device that uses electromyography (EMG) signals from the upper forearm called the MYO armband. In this way, the user was able to select the robot movements by using hand movements and the interaction between the user and the robot was achieved. Experiments in an assembly line demonstrated the efficiency of the proposed solution to select the robot movements by using hand movements and the interaction between the user and the robot was achieved.

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016

A complete mechanical design concept of an electromyogram (EMG) controlled hybrid prosthetic hand... more A complete mechanical design concept of an electromyogram (EMG) controlled hybrid prosthetic hand, with 24 degree of freedom (DOF) anthropomorphic structure is presented. Brushless DC motors along with Shape Memory Alloy (SMA) actuators are used to achieve dexterous functionality. An 8 channel EMG is used for detecting 7 basic hand gestures for control purposes. The prosthetic hand will be integrated with the Neural Network (NNE) based controller in the next phase of the study.

L'invention concerne une prothese de main hybride active fonctionnant avec des signaux electr... more L'invention concerne une prothese de main hybride active fonctionnant avec des signaux electromyographiques (EMG) pris sur l'avant-bras, de sorte a former une realisation hybride par l'utilisation simultanee de l'alliage a memoire de forme (AMF) et de moteurs CC, caracterisee en ce qu'elle comprend un tendon flechisseur facilitant le mouvement de fermeture des doigts ; un tendon extenseur situe au niveau de la partie arriere des doigts, non aligne avec la paume et qui assiste lesdits ressorts de phalange (4) dans le mouvement d'extension des doigts ; un AMF actionneur-flechisseur qui permet a la main de se fermer et de saisir et qui est raccorde au tendon flechisseur ; un AMF actionneur-extenseur qui facilite le mouvement de retour des doigts en effectuant un mouvement d'extension apres la prehension et qui est raccorde au tendon extenseur.

In this study, AC Synchronous Servo Engine set of Lucas Nulle company in Marmara University Depar... more In this study, AC Synchronous Servo Engine set of Lucas Nulle company in Marmara University Department of Mechatronics Education which has been converted into a position control experimental set for education. An interface is designed with WinCC Flexible software of Siemens Company to make more effective for students. Three separate experimental sheets are prepared for position, velocity and torque controls. The prepared experimental set with AC engine control aimed advanced level education of Scada and PLC by using independent PLC (Siemens S7-300), Servo inverter (Lenze 9300 Position Control). This study will be used electromechanic systems, Control systems and measuring in mechatronic department curriculum.

2018 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT)

This study is concerned with the correct selection of features that will enable shape memory allo... more This study is concerned with the correct selection of features that will enable shape memory alloy/materials to be used an efficient, lightweight, silent actuators. Shape memory alloys (SHA) have good potential with their muscle-like working principles. SMA wires and springs are investigated whether they are capable of being used as actuators of a finger on a prosthetic hand.

2023 5th International Conference on Bio-engineering for Smart Technologies (BioSMART)

IEEE Access

In this study, the focus is on an implant used in the treatment of early-onset scoliosis called m... more In this study, the focus is on an implant used in the treatment of early-onset scoliosis called magnetically controlled growing rods (MCGR). The primary goal of the study is to address and propose solutions for the mechanical problems reported in the literature concerning MCGR. The problems of the MCGR are mainly due to excessive stress and mechanical bearing problems. Therefore, an MCGR removed from a patient is teardown and geometrically modeled. Then, eleven design parameters are determined on the MCGR for the mechanical problems experienced and these are evaluated by mechanical analysis over 14 control points. In this study, analysis processes are carried out with L12 orthogonal array for eleven design parameters and 2 levels using Taguchi's experimental design method (DoE). With the obtained data by analyzing the experiments in L12, the fitness functions depending on the design parameters are created for 14 control points. Since the problem is multi-objective, a non-dominated sorting genetic algorithm (NSGA II) and multi-objective particle swarm optimization (MOPSO) are used to minimize stress and displacement in existing mechanical problems using fitness functions. The obtained design models from NSGA II and MOPSO are analyzed and evaluated in comparison with the existing mechanical model obtained through pre-optimization teardown study of MCGR.