Browsing Department of Electrical Engineering by Title
Now showing items 49-68 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 ... -
Novel Feature Extraction and Classification Technique for Sensor-Based Continuous Arabic Sign Language Recognition
(Springer, 2015)This paper proposes a novel approach to continuous Arabic Sign Language recognition. We use a dataset which contains 40 sentences composed from 80 sign language words. The dataset is collected using sensor-based gloves. ... -
A novel stochastic dynamic modeling for photovoltaic systems considering dust and cleaning
(Elsevier, 2021-10)Stochastic photovoltaic (PV) modeling that can be used for long-term planning of power systems is essential for future renewable power generation. One of the most prevalent problems that PV systems face is the accumulation ... -
On Efficient Channel Modeling for Video Transmission over Cognitive Radio Networks
(Springer, 2016)This paper investigates the problem of video transmission over cognitive radio networks with the objective of maintaining continuous video playback while gracefully degrading the quality of the reconstructed video sequences, ... -
Optimal operation of battery exchange stations for electric vehicles
(Elsevier, 2021-01)Due to environmental and energy security concerns, low emission vehicles present a vital necessity for clean transportation. In particular, electric vehicles (EVs) are the most promising solution due to the fact that the ... -
Optimal Operation of Virtual Charging Systems for Plug-In Electric Vehicles
(IEEE, 2022-01)This paper proposes a novel concept, denoted as Virtual Charging System (VCS), for electric vehicles’ (EVs). In a conventional charging system (CCS) with a competitive environment, the competition between charging stations ... -
Optimal Planning of Distributed Generators and Shunt Capacitors in Isolated Microgrids With Nonlinear Loads
(IEEE, 2020-02)This article presents a comprehensive design procedure for isolated microgrids with a high penetration of nonlinear loads. The proposed microgrid planning approach simultaneously determines the sizes, locations and types ... -
An optimal resource allocation for future parking lots with charger assignment considering uncertainties
(Elsevier, 2021-11)This paper proposes a new planning approach for different types electric vehicle (EV) chargers’ allocation in conjunction with photovoltaic (PV) panels. The proposed approach helps to upgrade the infrastructure satisfying ... -
Prediction of EV Charging Behavior Using Machine Learning
(IEEE Access, 2021)As a key pillar of smart transportation in smart city applications, electric vehicles (EVs) are becoming increasingly popular for their contribution in reducing greenhouse gas emissions. One of the key challenges, however, ... -
Random Aerial Beamforming for Underlay Cognitive Radio with Exposed Secondary Users
(IEEE Vehicular Technology Society, 2016)In this paper, we introduce the exposed secondary users problem in underlay cognitive radio systems, where both the secondary-to-primary and primary-to-secondary channels have a Line-of-Sight (LoS) component. Based on a ... -
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, ... -
Review of Communication Technologies for Electric Vehicle Charging Management and Coordination
(MDPI, 2021)Recently, electric vehicles (EVs) have been introduced as an alternative method of transportation to help mitigate environmental issues, such as carbon emissions and fuel consumption, caused by conventional transportation ... -
Robust Polynomial Classifier Using L1-norm minimization
(Springer, 2010)In this paper we present a robust polynomial classifier based on L1-norm minimization. We do so by reformulating the classifier training process as a linear programming problem. Due to the inherent insensitivity of the ... -
Spatio-Temporal Feature-Extraction Techniques for Isolated Gesture Recognition in Arabic Sign Language
(IEEE, 2007)This paper presents various spatio-temporal feature-extraction techniques with applications to online and offline recognitions of isolated Arabic Sign Language gestures. The temporal features of a video-based gesture are ... -
Spectrum Sensing Via Reconfigurable Antennas: Fundamental Limits and Potential Gains
(Springer, 2016-07)We propose a novel spectrum sensing technique in cognitive radio networks that provides diversity and capacity benefits using a single antenna at the Secondary User (SU) receiver. The proposed scheme is based on a ... -
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 ... -
A Subspace Identification Technique for Real Time Stability Assessment of Droop Based Microgrids
(IEEE, 2021-11)Real time detection of the microgrid stability is crucial for determining and adjusting the power-sharing droop controllers' gains to maintain a sufficient stability margin. Maintaining minimum relative stability should ... -
Supercapacitor Characterization Using Universal Adaptive Stabilization and Optimization
(IEEE, 2020-07)This paper presents a simplified supercapacitor model and a universal adaptive stabilization, optimization (UAS+O) based parameter identification technique. Analytic solutions for the description of supercapacitors current, ... -
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 ... -
A Survey on the Integration of Blockchain With IoT to Enhance Performance and Eliminate Challenges
(IEEE Access, 2021)Internet of things IoT is playing a remarkable role in the advancement of many fields such as healthcare, smart grids, supply chain management, etc. It also eases people's daily lives and enhances their interaction with ...