Browsing Department of Electrical Engineering by Issue Date
Now showing items 21-40 of 74
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Novel Classification System for Classifying Cognitive Workload Levels under Vague Visual Stimulation
(IEEE, 2017-07)This paper presents a novel method for classifying four different levels of cognitive workload. The workload levels are generated using visual stimuli degradation. EEG signals recorded from 16 subjects were used for workload ... -
IoT-solar energy powered smart farm irrigation system
(KeAi, 2019)As the Internet of things (IoT) technology is evolving, distributed solar energy resources can be operated, monitored, and controlled remotely. The design of an IoT based solar energy system for smart irrigation is essential ... -
Stochastic Geometry-Based Model for Dynamic Allocation of Metering Equipment in Spatio-Temporal Expanding Power Grids
(IEEE, 2019)With smart grids replacing conventional power grids and rapidly expanding in both space and time, ensuring an acceptable system observability becomes a challenge in spatio-temporal expanding power grids. In addition, system ... -
Joint Planning of Smart EV Charging Stations and DGs in Eco-Friendly Remote Hybrid Microgrids
(IEEE, 2019)This paper proposes an efficient planning algorithm for allocating smart electric vehicle (EV) charging stations in remote communities. The planning problem jointly allocates and sizes a set of distributed generators (DGs) ... -
Emotion Recognition Based on Fusion of Local Cortical Activations and Dynamic Functional Networks Connectivity: An EEG Study
(IEEE Xplore Digital Library, 2019)In this paper, we present a method to improve emotion recognition based on the fusion of local cortical activations and dynamic functional network patterns. We estimate the cortical activations using power spectral density ... -
Using Linear Regression and Back Propagation Neural Networks to Predict Performance of Soiled PV Modules
(Elsevier, 2019)This paper presents a study on neural network-based modeling techniques and sensor data to estimate the power output of photovoltaic systems under soiling conditions. Predicting maximum power output under soiling conditions ... -
A Multi-Objective Allocation Approach for Power Quality Monitoring Devices
(IEEE Xplore Digital Library, 2019)With the inception of smart grids and the increased integration of renewable resources, the continuous monitoring of power systems becomes increasingly important to monitor power quality (PQ) and speed up the localization ... -
Internet of things based multi-sensor patient fall detection system
(National Center for Biotechnology Information, 2019)Accidental falls of patients cannot be completely prevented. However, timely fall detection can help prevent further complications such as blood loss and unconsciousness. In this study, the authors present a cost-effective ... -
TCAD Simulation and Analysis of Selective Buried Oxide MOSFET Dynamic Power
(MDPI, 2019)Low power consumption has become one of the major requirements for most microelectronic devices and systems. Increasing power dissipation may lead to decreasing system effciency and lifetime. The BULK metal oxide semiconductor ... -
Vigilance Decrement and Enhancement Techniques: A Review
(MDPI, 2019)This paper presents the first comprehensive review on vigilance enhancement using both conventional and unconventional means, and further discusses the resulting contradictory findings. It highlights the key differences ... -
Investigation of Energy Storage Batteries in Stability Enforcement of Low Inertia Active Distribution Network
(Springer Link, 2019)The inherent intermittency of renewable power generation poses one of the great challenges to the future smart grid.With incentives and subsidies, the penetration level of small-scale renewable energy into power grids is ... -
Brain Connectivity Analysis Under Semantic Vigilance and Enhanced Mental States
(MDPI, 2019)In this paper, we present a method to quantify the coupling between brain regions under vigilance and enhanced mental states by utilizing partial directed coherence (PDC) and graph theory analysis (GTA). The vigilance state ... -
LC Impedance Source Bi-Directional Converter with Reduced Capacitor Voltages
(MDPI, 2020)This paper proposes an LC (Inductor and Capacitor) impedance source bi-directional DC–DC converter by redesigning after rearranging the reduced number of components of a switched boost bi-directional DC–DC converter. This ... -
Hybrid Look-Up-Tables Based Behavioral Model for Dynamic Nonlinear Power Amplifiers
(IEEE, 2020)A new look-up table based behavioral model for dynamic nonlinear power amplifiers is proposed. This model labelled as hybrid look-up tables model is based on the combination of a memoryless look-up table sub-model and a ... -
EEG-Based Semantic Vigilance Level Classification Using Directed Connectivity Patterns and Graph Theory Analysis
(IEEE, 2020)This paper proposes two novel methods to classify semantic vigilance levels by utilizing EEG directed connectivity patterns with their corresponding graphical network measures. We estimate the directed connectivity using ... -
Characterization of transection spinal cord injuries by monitoring somatosensory evoked potentials and motor behavior
(Elsevier, 2020)Standardization of spinal cord injury (SCI) models is crucial for reproducible injury in research settings and their objective assessments. Basso, Beattie and Bresnahan (BBB) scoring, the traditional behavioral evaluation ... -
Balun LNA Thermal Noise Analysis and Balancing With Common-Source Degeneration Resistor
(IEEE, 2020)The Balun low noise amplifier (LNA) is an LNA that exploits a combination of a common-source (CS) and a common-gate (CG) transistors, which cancels the noise and distortion of the CG stage. And since the CG is known to be ... -
Behavioral Modeling of GaN Doherty Power Amplifiers Using Memoryless Polar Domain Functions and Deep Neural Networks
(IEEE, 2020)In this paper, novel Doherty Power Amplifier (DPA) models are presented. The motivation behind the proposed models is to accurately predict static nonlinearities in the compression regions of the carrier and peaking ... -
Suppressing the Capacitor Voltage Fluctuations in Low Frequency Operation of Modular Multilevel Converters
(IEEE, 2020)Lowfrequency operation in the modular multilevel converters (MMCs) is enabled by applying a reference common mode voltage and circulating currents at a frequency much higher than the desired output frequency. The frequency ... -
Remote Thermal Water Leakage Sensor With a Laser Communication System
(IEEE, 2020)The change in the temperature of an underground water pipeline and its surrounding environment caused by a leakage has been detected by a variety of devices. Among the most popular technologies are infrared cameras, ...