Browsing by Department "BTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Mekatronik Mühendisliği Bölümü"
Now showing items 1-20 of 61
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Amputee Electromyography Signal Classification Using Convolutional Neural Network
(Institute of Electrical and Electronics Engineers Inc., 2020)The classification of EMG signals for the amputees is important to develop a powered-prosthetic that is capable of replacing with lost limbs. The EMG signals collected from residual limbs reduce the classification accuracy ... -
Analysis of Rolling Shutter Effect on ENF-Based Video Forensics
(Ieee-Inst Electrical Electronics Engineers Inc, 2019)Electric network frequency (ENF) is a time-varying signal of the frequency of mains electricity in a power grid. It continuously fluctuates around a nominal value (50/60 Hz) clue to changes in the supply and demand of power ... -
Anomaly detection and privacy preservation in Cloud-Centric Internet of Things
(Ieee, 2015)Internet of Things (IoT) concept provides a number of opportunities to improve our daily lives while also creating a potential risk of increasing the vulnerability of personal information to security and privacy breaches. ... -
A Broad Overview of GPS Fundamentals: Now and Future
(Ieee, 2017)GPS (Global Positioning System) is a satellite based navigation system and is used in a variety of applications such as mapping, vehicle navigation and surveying. In this work, a detailed background of GPS is included. ... -
Capsule Network for Finger-Vein-based Biometric Identification
(Ieee, 2019)Most of the recent researches have determined that finger-vein identification systems have begun to change their direction from hand-crafted feature extraction to automatic feature extraction methods, such as convolutional ... -
Cloud-Centric Multi-Level Authentication as a Service for Secure Public Safety Device Networks
(Ieee-Inst Electrical Electronics Engineers Inc, 2016)With the advances in IoT, future public safety responders will be well armed with devices that pump data between on-site responders and command centers, carrying useful information about the event scene, the status of a ... -
A comparative 3d finite element computational study of stress distribution and stress transfer in small-diameter conical dental implants
(Strojarski Facultet, 2021)The implant design is one of the main factors in implant stability because it affects the contact area between the bone and the implant surface and the stress-strain distribution at the bone-implant interface. In this ... -
A comparative evaluation of semi-active control algorithms for real-time seismic protection of buildings via magnetorheological fluid dampers
(Elsevier Ltd, 2021)Semi-active vibration control is considered a powerful method in reducing the dynamic responses of buildings by using additional smart damping devices. In this study, magnetorheological (MR) dampers have been proposed as ... -
A comparative experimental study on the impact strength of standard and asymmetric involute spur gears
(Elsevier Sci Ltd, 2021)Gears are one of the main components of the power transmission systems and are used in various fields. Problems caused by sudden load changes in mobile systems are frequently encountered today. Gear dynamics have become ... -
Convolutional neural networks based rolling bearing fault classification under variable operating conditions
(Institute of Electrical and Electronics Engineers Inc., 2021)Rolling bearings are key machine elements used in various fields such as automotive, machinery, aviation, and wind turbines. Over time, faults may occur in bearings due to variable operating speeds and loads, contamination, ... -
Değişken Kuvvetli EMG Sinyallerinin Çok Değişkenli Görgül Kip Ayrışımı ile Analizi ve Sınıflandırılması
(2020)Elektromiyografi (EMG) sinyalleri, insan-makine etkileşimli akıllı el protezlerinin kontrolünde önemli bir rol oynamaktadır. Kas aktivesinin bir sonucu olarak ortaya çıkan EMG sinyalleri, yapılan aktiviteye dair özel ... -
Design of an Event Based Multi Processors Communication System
(Institute of Electrical and Electronics Engineers Inc., 2017)This paper presents an event based model multi-processor system that can handle events from hundreds ofterminals. The overall system acts as a single system as if it iscontrolled by a single processor. A communication ... -
Detailed Kinematic Analysis and Real-Time Application of the 4-DOF Low Cost Robotic Arm
(Ieee, 2019)In this study, real-time position control of the robotic arm has been implemented. For this purpose, an experimental setup was designed and installed for low cost 4-DOF robotic arm. Servo motors are used for the movement ... -
Detecting the Presence of ENF Signal in Digital Videos: A Superpixel-Based Approach
(Ieee-Inst Electrical Electronics Engineers Inc, 2017)Electrical network frequency (ENF) instantaneously fluctuates around its nominal value (50/60 Hz) due to a continuous disparity between generated power and consumed power. Consequently, luminous intensity of a mains-powered ... -
Effects of drive side pressure angle on gear fatigue crack propagation life for spur gears with symmetric and asymmetric teeth
(American Society of Mechanical Engineers (ASME), 2019)Today gears are one of the most crucial machine elements in the industry. They are used in every area of the industry. Due to the high performances of the gears, they are also used in aerospace and wind applications. In ... -
Effects of rim thickness and drive side pressure angle on gear tooth root stress and fatigue crack propagation life
(Elsevier Ltd, 2021)Gears are the most significant machine elements in power transmission systems. They are used in almost every area of the industry, such as small watches to wind turbines. During the power transmission, gears are subjected ... -
Emotion recognition based on time-frequency distribution of EEG signals using multivariate synchrosqueezing transform
(Academic Press Inc Elsevier Science, 2018)This paper investigates the feasibility of using time-frequency (TF) representation of EEG signals for emotional state recognition. A recent and advanced TF analyzing method, multivariate synchrosqueezing transform (MSST) ... -
Emotion recognition from EEG signals by using multivariate empirical mode decomposition
(Springer, 2018)This paper explores the advanced properties of empirical mode decomposition (EMD) and its multivariate extension (MEMD) for emotion recognition. Since emotion recognition using EEG is a challenging study due to nonstationary ... -
Emotion recognition using time-frequency ridges of EEG signals based on multivariate synchrosqueezing transform
(De Gruyter Open Ltd, 2021)The feasibility of using time-frequency (TF) ridges estimation is investigated on multi-channel electroencephalogram (EEG) signals for emotional recognition. Without decreasing accuracy rate of the valence/arousal recognition, ... -
Enhancement of Finger Vein Images Using Gabor Filter
(Ieee, 2018)In this study, rather than locating a fixed region of interest directly on finger vein images, spatial filtering is applied and a texture-based edge detection method is used to give stable results. Koschmieder's Law, which ...
