Browsing Electrical Engineering by Title
Now showing items 749-768 of 2610
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Cybersecurity for next generation healthcare in Qatar
( Hamad bin Khalifa University Press (HBKU Press) , 2021 , Article)Background: IoMT (Internet of Medical Things) devices (often referred to IoMT domain) have the potential to quickly diagnose and monitor patients outside the hospital by transmitting information through the cloud domain ... -
D2DLive: Iterative live video streaming algorithm for D2D networks
( Elsevier , 2023 , Article)Smart healthcare system incorporates new technologies making healthcare more efficient and more convenient. Virtual consultations provide interactions with healthcare professionals via video technology, which lessens the ... -
Daily-seasonal operation in net-zero energy building powered by hybrid renewable energies and hydrogen storage systems
( Elsevier Ltd , 2019 , Article)The net-zero energy buildings are often supplied by renewable resources and energy storage systems. These energy resources have different seasonal and daily patterns of power production. Their output power is also uncertain. ... -
Damage detection using enhanced multivariate statistical process control technique
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)This paper addresses the problem of damage detection technique of structural health monitoring (SHM). Kernel principal components analysis (KPCA)-based generalized likelihood ratio (GLR) technique is developed to enhance ... -
Data Analytics, Automations, and Micro-Moment Based Recommendations for Energy Efficiency
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Energy conservation is a critical task for domestic households and office buildings, mainly because of the shortage of energy resources and the uprising contemporary environmental issues. The development of an IoT ecosystem ... -
Data Augmentation for Intrusion Detection and Classification in Cloud Networks
( IEEE , 2021 , Conference Paper)Cloud computing is a paradigm that provides multiple services over the internet with high flexibility in a cost-effective way. However, the growth of cloud-based services comes with major security issues. Recently, machine ... -
Data Clustering Based on Community Structure in Mutual k-Nearest Neighbor Graph
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Data clustering is a fundamental machine learning problem. Community structure is common in social and biological networks. In this article we propose a novel data clustering algorithm that uses this phenomenon in mutual ... -
Data concerning isometric lower limb strength of dominant versus not-dominant leg in young elite soccer players
( Elsevier Inc. , 2018 , Article)The present data article describes the isometric lower limb strength of dominant leg versus not-dominant leg measured with handheld dynamometer (HHD) in a sample of 31 young elite soccer players (age 16.42 ± 0.45 years; ... -
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations
( Elsevier , 2020 , Article)Recently, tremendous interest has been devoted to develop data fusion strategies for energy efficiency in buildings, where various kinds of information can be processed. However, applying the appropriate data fusion strategy ... -
Data-Driven Covert-Attack Strategies and Countermeasures for Cyber-Physical Systems
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)This paper studies covert-attacks for cyber-physical systems (CPS) under conditions that adversaries do not explicitly know the system characteristic matrices (A, B, C). Covert-attacks are considered as undetectable type ... -
Data-driven fault detection and isolation of nonlinear systems using deep learning for Koopman operator
( ISA - Instrumentation, Systems, and Automation Society , 2023 , Article)This paper proposes a data-driven actuator fault detection and isolation approach for the general class of nonlinear systems. The proposed method uses a deep neural network architecture to obtain an invariant set of basis ... -
Data-Driven Intelligent Model for Sale Price Prediction and Monitoring of a Building
( Springer , 2020 , Book chapter)The construction cost forecasting and monitoring plays an important role in a building condition assessment. The construction cost of a building (CCB) not only depends on the method of construction, equipment, labor, and ... -
Data-Driven Koopman Operator Based Cyber-Attacks for Nonlinear Control Affine Cyber-Physical Systems
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)This paper studies the data-driven implementation of stealthy cyber-attacks for a class of nonlinear cyber-physical systems (CPS). In particular, we consider and study zero dynamics and covert cyber-attacks. By utilizing ... -
Data-Driven Load Frequency Control Based on Multi-Agent Reinforcement Learning With Attention Mechanism
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)With the massive penetration of renewable energy, traditional reinforcement learning algorithms suffer from slow convergence and area control error (ACE) in interconnected power systems. This paper proposes data-driven ... -
Data-driven sensor fault detection and isolation of nonlinear systems: Deep neural-network Koopman operator
( John Wiley and Sons Inc , 2023 , Article)This paper proposes a data-driven sensor fault detection and isolation approach for the general class of nonlinear systems. The proposed method uses deep neural network architecture to obtain an invariant set of basis ... -
DC bus control of an advanced flywheel energy storage kinetic traction system for electrified railway industry
( IEEE , 2013 , Conference Paper)The evolution of public transportation exhibits high potential nowadays due to the consistent demand of clean transportation with low pollution rates. Therefore electrified railway systems become viable with their ... -
DC-link capacitor voltage balancing for a five-level diode-clamped active power filter using redundant vectors
(2013 , Article)This paper investigates the compensation and modulation processes of the five- level diode-clamped active power filter, compensating a three-phase rectified resistor-inductor load with redundant vectors. From the analysis, ... -
DC-Transformer Modelling, Analysis and Comparison of the Experimental Investigation of a Non-Inverting and Non-Isolated Nx Multilevel Boost Converter (Nx MBC) for Low to High DC Voltage Applications
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)This paper mainly focuses on the analysis, DC-transformer modeling, comparison, and experimental investigation of a non-inverting and non-isolated Nx multilevel boost converter (Nx MBC) for low to high DC applications. ... -
Deadbeat control of Z source inverter with voltage ride-through capability
( IEEE , 2013 , Conference Paper)This paper presents a Z source inverter connected to grid. The effect of voltage sags on ZSI will be studied when two different ac side control schemes are used. The paper compares the performance of both PI control and ... -
Deadbeat control with multi-sampling compensation for medium-voltage motor drives by cascaded multi-cell inverter using FPGA based hardware controller
( IEEE , 2011 , Conference Paper)Multi-cell inverter include an array of single-phase inverters capable of handling higher voltage ratings with lower rating power electronics devices. In this paper, a deadbeat control combined with a multi-sampling ...