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Toplam kayıt 33, listelenen: 21-30
Emotion Elicitation Analysis in Multi-Channel EEG Signals Using Multivariate Empirical Mode Decomposition and Discrete Wavelet Transform
(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 ...
Effect of Bilinear Interpolation on the Texture Analysis of Colonoscopy Images
(IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)
Interpolation is a method that is used to obtain unknown intensities with the help of known intensities on an image. This method is frequently used in the literature to eliminate light reflection on colonoscopy images. ...
Emotion Recognition Classification in EEG Signals Using Multivariate Synchrosqueezing Transform
(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 ...
Cloud Induced PV Impact on Voltage Profiles for Real Microgrids
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
Integration of renewable energy sources (RESs) into power systems has been a popular topic for a long time. Due to government policies and incentives, it will be more popular in the future since it is a free and ...
Design considerations for campus micro-grid: MCAST Case Study
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
This paper aims to propose design considerations to transform the Malta College of Arts, Science and Technology (MCAST) current and future planned electrical network system into an efficient micro-grid. MCAST is a young ...
Use of Topological Data Analysis in Motor Intention Based Brain-Computer Interfaces
(IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, 2018)
This study aims to investigate the use of topological data analysis in electroencephalography (EEG) based on brain computer interface (BC!) applications. Our study focused on extracting topological features of EEG signals ...
The Effects of Intracavity Phase Modulation and Extracavity Optical Filtering on Amplitude Noise of Mode-Locked Pulse Trains
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
An actively mode-locked, fiber-coupled semiconductor ring laser that employs both a phase modulator and an amplitude modulator was built. The laser was mode locked by loss modulation at 10 GHz and the intracavity phase ...
Multivariate Pseudo Wigner Ville Distribution based Emotion Detection from Electrical Activity of Brain
(IEEE 345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)
Recently, there has been a rapid development in multivariate signal analysis to determine joint oscillations for multiple data channels. The emotion elicitation in an electroencephalogram (EEG) is a novel area to evaluate ...
Short to Mid-Range Night Fire Detection
(IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)
Computer vision methods used for night-time fire detection are limited. Existing works are for detection of distant night fires recorded from watch towers. In this paper, detection of short to mid-range night fires from ...
Emotional State Analysis from EEG signals via Noise-Assisted Multivariate Empirical Mode Decomposition Method
(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 ...