Browsing Department of Electrical Engineering by Title
Now showing items 61-74 of 74
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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 ... -
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 ... -
Telescopic Vector Composition and Polar Accumulated Motion Residuals for Feature Extraction in Arabic Sign Language Recognition
(Springer, 2007)This work introduces two novel approaches for feature extraction applied to video-based Arabic sign language recognition, namely, motion representation through motion estimation and motion representation through motion ... -
A Unified Approach for Probability of Detection Evaluation over Generalised Fading Channels
(Institution of Engineering and Technology, 2016)In this paper, we revisit energy detection-based spectrum sensing cognitive radio systems operating over generalised fading channels. In particular, we derive closed-form exact expressions as well as lowand high-signal-to-noise ... -
User-independent recognition of Arabic sign language for facilitating communication with the deaf community
(Elsevier, 2011)This paper presents a solution for user-independent recognition of isolated Arabic Sign language gestures. The video based gestures are preprocessed to segment out the hands of the signer based on color segmentation of the ... -
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 ... -
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 ...