Mekatronik Mühendisliği Bölümü Koleksiyonu
Güncel Gönderiler
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Development of elbow rehabilitation device with iterative learning control and internet of things
(2024)In this study, we present a novel approach for rehabilitation devices through the design of an active elbow joint orthosis, inspired by the fundamental principles of robotic exoskeletons. The device not only enables ... -
RESPIRATORY ANALYSIS WITH ELECTROCARDIOGRAM DATA: EVALUATION OF PAN-TOMPKINS ALGORITHM AND CUBIC CURVE INTERPOLATION METHOD
(2024)Advancements in bioinstrumentation have facilitated the easier monitoring of biometric signals such as electrocardiogram (ECG) and respiration. This development is particularly crucial for the diagnosis and management of ... -
Robotic Arm Trajectory Tracking Using Image Processing and Kinematic Equations
(2024)This study presents a novel approach for scanning and obtaining object contours within a workspace using a camera and subsequently following these 2-D contours to another region with the assistance of an end effector. The ... -
Thermal and Mechanical Vibration Response of Auxetic Core Sandwich Smart Nanoplate
(John Wiley and Sons Inc, 2024)This study explores a new nanoplate design's thermal and mechanical properties, including an auxetic core with a negative Poisson ratio. The core is between face plates made of barium–cobalt, which possess magnetoelectroelastic ... -
Reverse Engineering in Electroless Coatings: An Application on Bath Parameter Optimization for User-Defined Ni-B-P Coating Properties
(Springer Science and Business Media Deutschland GmbH, 2024)This paper presents a study on the application of reverse engineering in electroless coatings, specifically in the optimization of bath parameters for the production of user-defined Ni–B-P coatings. Electroless coatings ... -
Effect of the magnetic field on the thermomechanical flexural wave propagation of embedded sandwich nanobeams
(Taylor and Francis Ltd., 2024)This work examines thermo-mechanical bending wave propagation in a sandwich nanobeam using advanced sandwich nanobeam and nanolocal strain gradient elasticity theories. The sandwich nanobeam is a unique structure with ... -
The effects of Casimir, van der Waals and electrostatic forces on the response of nanosensor beams
(Elsevier Inc., 2024)The governing equations of the nanosensor beams have been modified to account for the non-local strain gradient effect, which considers the impact of material microstructure to capture the size-dependent behavior of the ... -
The effect of the viscoelastic support and GRPL-reinforced foam material on the thermomechanical vibration response of piezomagnetic sandwich nanosensor plates
(Springer, 2024)This paper investigates the vibration characteristics of a sandwich nanosensor plate composed of piezoelectric materials, specifically barium and cobalt, in the upper and lower layers, and a core material consisting of ... -
Hybrid ANFIS-PSO algorithm for estimation of the characteristics of porous vacuum preloaded air bearings and comparison performance of the intelligent algorithm with the ANN
(Hybrid ANFIS-PSO algorithm for estimation of the characteristics of porous vacuum preloaded air bearings and comparison performance of the intelligent algorithm with the ANN, 2024)Air bearings are commonly used in systems requiring high precision, including semiconductor manufacturing, optical and electronic devices, and aerospace systems, and the usage of vacuum preloading and porous material ... -
Effect of Functionally Graded Carbon Nanotube Reinforcement on the Dynamic Response of Composite Beams Subjected to a Moving Charge
(Springer, 2024)Purpose: This article examines the forced vibrations of composite beams that have been reinforced with single-walled carbon nanotubes (SWCNTs) and subjected to a moving charge without considering the effect of mass inertia. ... -
Assessing the performance of state-of-the-art machine learning algorithms for predicting electro-erosion wear in cryogenic treated electrodes of mold steels
(Elsevier Ltd, 2024)In manufacturing, predicting and reducing electro-erosion wear during the electric discharge machining (EDM) process is critical to minimize delays, financial losses and product defects. Achieving this requires developing ... -
Development of elbow rehabilitation device with iterative learning control and internet of things
(2024)In this study, we present a novel approach for rehabilitation devices through the design of an active elbow joint orthosis, inspired by the fundamental principles of robotic exoskeletons. The device not only enables ... -
Corrigendum to:“Deep learning based suture training system” [Surgery Open Science 15 (2023) 1–11/1, (S2589845023000593), (10.1016/j.sopen.2023.07.023)]
(Elsevier B.V., 2024)Background and objectives: Surgical suturing is a fundamental skill that all medical and dental students learn during their education. Currently, the grading of students' suture skills in the medical faculty during general ... -
Effect of Functionally Graded Carbon Nanotube Reinforcement on the Dynamic Response of Composite Beams Subjected to a Moving Charge
(Springer, 2024)Purpose This article examines the forced vibrations of composite beams that have been reinforced with single-walled carbon nanotubes (SWCNTs) and subjected to a moving charge without considering the efect of mass inertia. ... -
Association of Visual-Based Signals with Electroencephalography Patterns in Enhancing the Drowsiness Detection in Drivers with Obstructive Sleep Apnea
(Multidisciplinary Digital Publishing Institute (MDPI), 2024)Individuals with obstructive sleep apnea (OSA) face increased accident risks due to excessive daytime sleepiness. PERCLOS, a recognized drowsiness detection method, encounters challenges from image quality, eyewear ... -
Deep learning based suture training system (vol 15, pg 1, 2023)
(ELSEVIER, 2024),Background and objectives: Surgical suturing is a fundamental skill that all medical and dental students learn during their education. Currently, the grading of students' suture skills in the medical faculty during ... -
3D chaotic mixing application for polymer production
(IOP Publishing Ltd, 2024)Industrial mixing processes have garnered significant attention over the past decade due to the critical role that efficient and rapid mixing plays in the production of innovative materials. The methodology employed in ... -
Comparison of EEG- Based Deep Neural Network Classifiers for Emotion Recognition using Selected Electrodes
(Institute of Electrical and Electronics Engineers Inc., 2023)In this study, SVM and DNN models were employed to classify participants' emotional states using the publicly available SEED dataset, achieving impressive accuracy rates of 79.8% for DNN and 79.4% for SVM, surpassing the ... -
Corrigendum: Anemia detection through non-invasive analysis of lip mucosa images (Frontiers in Big Data, (2023), 6, (1241899), 10.3389/fdata.2023.1241899)
(Frontiers Media SA, 2023)In the published article, there was an error in the author list. The new requested author order is: Shekhar Mahmud1, Turker Berk Donmez2, Mohammed Mansour3*, Mustafa Kutlu3 and Chris Freeman41 Department of Systems ... -
Robotic Arm Control Using Machine Learning-Based EOG Signal Classifier
(Institute of Electrical and Electronics Engineers Inc., 2023)Electrooculography (EOG) signals are a type of signal analyzed for detecting eye movements. In this project, features were extracted from EOG data collected from various subjects, and these features were then fed into ...