Yazar "AGÜ, Mühendislik Fakültesi, Elektrik - Elektronik Mühendisliği Bölümü" için Elektrik - Elektronik Mühendisliği Bölümü Koleksiyonu listeleme
-
Elektromanyetik Levitasyon ile Çalışan Biyosensör- Mikrorobot Sistemlerinin Geliştirilmesi ve Kontrolü
Ablay, Gunyaz; İçöz, Kutay (TUBİTAK, 2020)Bu arastırma mikron seviyesinde hareket etme yetenegine sahip manyetik levitasyon ile çalısan biyosensör-mikrorobot tasarımını gerçeklestirmeye çalısmaktadır. Manyetik levitasyon teknigi, mikro/nano manyetik parçacıklar ... -
Email Clustering & Generating Email Templates Based on Their Topics
Email templates have a significant impact on users in terms of productivity. Using an email template that is produced successfully is going to transfer the main information with a considerable impression. While the previous ... -
Emotion Detection Using Multivariate Synchrosqueezing Transform via 2D Circumplex Model
Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)Emotion detection by utilizing signal processing methods is a challenging area. An open issue in emotional modeling is to obtain an optimum feature set to use for the classification process. This study proposes an approach ... -
Emotion Elicitation Analysis in Multi-Channel EEG Signals Using Multivariate Empirical Mode Decomposition and Discrete Wavelet Transform
Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent (IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)In recent years, wavelet-based, Fourier-based and Hilbert-based time-frequency methods attracted attention in emotion state classification studies in human machine interaction. In particular, the Hilbert-based Empirical ... -
Emotion Recognition Classification in EEG Signals Using Multivariate Synchrosqueezing Transform
Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent (IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)Electrophysiological data processing can take place both in time and in frequency domains as well as in the joint time-frequency domain. Short Time Fourier Transform and Wavelet Transform are commonly used time-frequency ... -
Emotional State Analysis from EEG signals via Noise-Assisted Multivariate Empirical Mode Decomposition Method
Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent (IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)Emotional state analysis is an interdisciplinary arena because of the many parameters that encompass the complex neural structure and electrical signals of the brain and in terms of emotional state differences. In recent ... -
Emotional State Sensing by Using Hybrid Multivariate Empirical Mode Decomposition and Synchrosqueezing Transform
Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)In recent years, utilizing Hilbert-based time frequency methods in emotional state sensing research attracted attention in the brain computer interfaces. Primarily, Hilbert Transform-based empirical mode decomposition (EMD) ... -
Empirical Wavelet Transform Based Method for Identification and Analysis of Sub-synchronous Oscillation Modes Using PMU Data
Philip, Joice G.; Jung, Jaesung; Onen, Ahmet (IEEE-SGEPRI(State Grid Electric Power Research Institute), 2024)This paper proposes an empirical wavelet transform (EWT) based method for identification and analysis of sub-synchronous oscillation (SSO) modes in the power system using phasor measurement unit (PMU) data. The phasors ... -
Energy control in a quantum oscillator using coherent control and engineered environment
Pechen, Alexander N; Borisenok, Sergey; Fradkov, Alexander L. (PERGAMON-ELSEVIER SCIENCE, 2022)We develop and analyze a new method for manipulation of energy in a quantum harmonic oscillator using coherent, e.g., electromagnetic, field and incoherent control. Coherent control is typically implemented by shaped laser ... -
Enhancing Cybersecurity in Smart Grids: False Data Injection and Its Mitigation
Unsal, Derya Betul; Ustun, Taha Selim; Hussain, S. M. Suhail; Onen, Ahmet (MDPIST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, 2021)Integration of information technologies with power systems has unlocked unprecedented opportunities in optimization and control fields. Increased data collection and monitoring enable control systems to have a better ... -
Enhancing smart grid with microgrids: Challenges and opportunities
Yoldas, Yeliz; Onen, Ahmet; Muyeen, S. M.; Vasilakos, Athanasios V.; Alan, Irfan (PERGAMON-ELSEVIER SCIENCE LTDTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, 2017)The modern electric power systems are going through a revolutionary change because of increasing demand of electric power worldwide, developing political pressure and public awareness of reducing carbon emission, incorporating ... -
Ergotropy of bosonic quantum battery driven via repelling feedback algorithms
Borisenok, Sergey; Gürsey, Feza (Institute for Problems in Mechanical Engineering, Russian Academy of Sciences, 2021)Feedback algorithms can be efficiently applied to control the basic characteristics of quantum batteries (QBs): the ergotropy, the charging power, the storage capacity and others. We invent here two alternative approaches, ... -
Ergotropy of Quantum Battery Controlled via Target Attractor Feedback
Sergey Borisenok (IOSR Journal Of Applied Physics (IOSR-JAP), 2020)Model: Quantum battery (QB) is a device that is capable to be charged efficiently and store the energy for a long period of time to be transferred to consumption centers. There are many different physical types of ... -
Esnek kuantum noktacık tabanlı platformlarda üretilen yenilikçi organik ışık saçan diyotlar
Mutlugün, Evren (TUBİTAK, 2018)Işık saçan organik diyotlarda renk saflığı ve dalga boyunun ayarlanabilmesini sağlamak için kuantum noktacıkları kullanmak büyük önem arz etmektedir. Yarı iletken koloidal kuantum noktacıklar biyo-teknolojiden opto-elektroniğe ... -
Excitation-independent deep-blue emitting carbon dots with 62% emission quantum efficiency and monoexponential decay profile for high-resolution fingerprint identification
Savaedi, Soheyla; Zheng, Guangsong; Lou, Qing; Sahraei, Reza; Shan, Chongxin; Soheyli, Ehsan (IOP Publishing, 2022)Reaching emissive nanomaterials at short wavelengths with a high quantum efficiency (QE) is an attractive task for researchers. This is more demanding in carbon dots (CDs) with diverse applications that usually emit photons ... -
Excitonic interaction amongst InP/ZnS salt pellets
Altintas, Yemliha; Yazici, Ahmet Faruk; Unlu, Miray; Dadi, Seyma; Genc, Sinan; Mutlugun, Evren (ROYAL SOC CHEMISTRYTHOMAS GRAHAM HOUSE, SCIENCE PARK, MILTON RD, CAMBRIDGE CB4 0WF, CAMBS, ENGLAND, 2017)Salt matrix has recently been introduced as a promising robust platform for embedding colloidal quantum dots to provide them with photo stability for versatile applications. This work demonstrates the excitonic interaction ... -
Experimental analysis of absolute phase noise of a harmonically mode-locked semiconductor laser
Ozharar, S.; Ozdur, I. (NATL INST OPTOELECTRONICS, 1 ATOMISTILOR ST, PO BOX MG-5, BUCHAREST-MAGURELE 76900, ROMANIA, 2018)In this work, we have designed and experimentally characterized the absolute phase noise of a fiber coupled semiconductor ring laser at 1550 nm, actively mode-locked at 10 GHz by an external RF oscillator. The dependency ... -
An FDTD-based computer simulation platform for shock wave propagation in electrohydraulic lithotripsy
Yilmaz, Bulent; Ciftci, Emre (ELSEVIER, 2013)Extracorporeal Shock Wave Lithotripsy (ESWL) is based on disintegration of the kidney stone by delivering high-energy shock waves that are created outside the body and transmitted through the skin and body tissues. ... -
FEA based fast topology optimization method for switched reluctance machines
Tekgun, Didem; Tekgun, Burak; Alan, Irfan (SPRINGER, 2022)In this paper, a finite element analysis (FEA) based fast optimization method to optimize a lightweight in-wheel switched reluctance machine is presented. This method speeds up the switched reluctance machine optimization ... -
Feature Extraction and Classification in A Two-State Brain-Computer Interface
Altindis, Fatih; Yilmaz, Bulent (IEEE, 2015)Brain Computer Interface (BCI) technology is used to help patients who do not have control over motor neurons such as ALS or paralyzed patients, to communicate with outer world. This work aims to classify motor imageries ...