Browsing Department of Electrical Engineering by Title
Now showing items 8-27 of 74
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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 ... -
Classifying Maqams of Qur'anic Recitations Using Deep Learning
(IEEE Access, 2021)The Holy Qur’an is among the most recited and memorized books in the world. For beautification of Qur’anic recitation, almost all reciters around the globe perform their recitations using a specific melody, known as maqam ... -
Closed-form Exact and Asymptotic Expressions for the Symbol Error Rate and Channel Capacity of the H-function Fading Channel
(IEEE Vehicular Technology Society, 2016-04)In this paper, we derive closed-form exact and asymptotic expressions for the symbol error rate (SER) as well as channel capacity when communicating over the Fox's H-function fading channel. The SER expressions are obtained ... -
Cognitive Vigilance Enhancement using Audio Stimulation of Pure Tone at 250 Hz
(IEEE Access, 2021)In this paper, we propose a novel vigilance enhancement method based on audio stimulation of pure tone at 250 Hz. We induced two different levels of vigilance state; vigilance decrement (VD) and vigilance enhancement (VE). ... -
A combined resource allocation framework for PEVs charging stations, renewable energy resources and distributed energy storage systems
(Elsevier, 2017)The massive deployment of plug-in electric vehicles (PEVs), renewable energy resources (RES), and distributed energy storage systems (DESS) has gained significant interest under the smart grid vision. However, their special ... -
Communication Network for Ultrasonic Acoustic Water Leakage Detectors
(IEEE, 2020-02-10)Water leaks in the distribution network produce significant losses and cause serious economic inconvenience especially in areas with water shortage. In this paper, the operational aspects of the most popular offline detection ... -
A Comparative Analysis of Numerical Methods for Solving the Leaky Fire and Integrate Model
(MDPI, 2023)The human nervous system is one of the most complex systems of the human body. Understanding its behavior is crucial in drug discovery and developing medical devices. One approach to understanding such a system is to model ... -
Continuous Arabic Sign Language Recognition in User Dependent Mode
(Scientific Research, 2010)Arabic Sign Language recognition is an emerging field of research. Previous attempts at automatic visionbased recognition of Arabic Sign Language mainly focused on finger spelling and recognizing isolated gestures. In this ... -
A Customer-Centered Smart Charging Strategy Considering Virtual Charging System
(IEEE Acess, 2022)Electric vehicle (EV) charging is considered as one of the main issues that face EV drivers. Thus, there should be a facility to suggest the best charging station based on the customer requirements. However, the routing ... -
Cyber Security of Market-Based Congestion Management Methods in Power Distribution Systems
(IEEE, 2021-03)As the penetration rate of flexible loads and Distributed Energy Resources in the distribution networks increases, congestion management techniques that utilize Demand Side Management (DSM) have been developed. These are ... -
Data-Driven Detection of Electricity Theft Cyberattacks in PV Generation
(IEEE, 2021-09)Most of the existing research focuses on electricity theft cyber-attacks in the consumption domain. On the contrary, a high penetration level of distributed generators (DGs) may result in increased electricity theft ... -
Decision-level fusion for single-view gait recognition with various carrying and clothing conditions
(Elsevier, 2017)Gait Recognition is one of the latest and attractive biometric techniques, due to its potential in identification of individuals at a distance, unobtrusively and even using low resolution images. In this paper we focus on ... -
Deep Learning Detection of Electricity Theft Cyber-Attacks in Renewable Distributed Generation
(IEEE, 2020-02)Unlike the existing research that focuses on detecting electricity theft cyber-attacks in the consumption domain, this paper investigates electricity thefts at the distributed generation (DG) domain. In this attack, malicious ... -
Design and Performance Analysis of Misalignment Tolerant Charging Coils for Wireless Electric Vehicle Charging Systems
(MDPI, 2021)n order to design a high efficiency Wireless Electric Vehicle Charging (WEVC) system, the design of the different system components needs to be optimized, particularly the design of a high-coupling, misalignment-tolerant ... -
Design of a High Power, LCC-Compensated, Dynamic, Wireless Electric Vehicle Charging System with Improved Misalignment Tolerance
(MDPI, 2021)Dynamic wireless power transfer (DWPT) systems are becoming increasingly important for on-the-move electric vehicle (EV) charging solutions, to overcome range anxiety and compensate for the consumed energy while the EV is ... -
Development and Characterization of Novel Composite and Flexible Electrode Based on Titanium Dioxide
(IEEE, 2020-06-11)Flexible implantable bioelectrodes have the potential to advance neural sensing and muscle stimulation, especially in peripheral nerve injuries. In such cases, the application of electrical stimulation to muscles prevents ... -
A Dynamic Optimal Battery Swapping Mechanism for Electric Vehicles using an LSTM-based Rolling Horizon Approach
(IEEE, 2022-01)This paper proposes a new approach for optimal operation of an Electric Vehicle (EV) battery-swapping station (BSS) based on Rolling-Horizon optimization (RHO). The BSS has several swapping bays such that each can accommodate ... -
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 ... -
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 ... -
Feature modeling using polynomial classifiers and stepwise regression
(Elsevier, 2010)In polynomial networks, feature vectors are mapped to a higher dimensional space through a polynomial function. The expanded vectors are then passed to a single layer network to compute the model parameters. However, as ...