Browsing Electrical Engineering by Title
Now showing items 809-828 of 2840
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D-RAN: A DRL-Based Demand-Driven Elastic User-Centric RAN Optimization for 6G & Beyond
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)With highly heterogeneous application requirements, 6G and beyond cellular networks are expected to be demand-driven, elastic, user-centric, and capable of supporting multiple services. A redesign of the one-size-fits-all ... -
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)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)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)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)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 Driven Optimization of Inter-Frequency Mobility Parameters for Emerging Multi-band Networks
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)Densification and multi-band operation in 5G and beyond pose an unprecedented challenge for mobility management, particularly for inter-frequency handovers. The challenge is aggravated by the fact that the impact of key ... -
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)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)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 next-generation smart grid towards sustainable energy evolution: techniques and technology review
(2023 , Article)Meteorological changes urge engineering communities to look for sustainable and clean energy technologies to keep the environment safe by reducing CO2 emissions. The structure of these technologies relies on the deep ... -
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 ... -
Day-Ahead electricity price forecasting using a CNN-BiLSTM model in conjunction with autoregressive modeling and hyperparameter optimization
( Elsevier ltd , 2024 , Article)The inherent volatility in electricity prices exerts a significant impact on the dynamic nature of the electricity market, shaping the decision-making processes of its stakeholders. Precise Electricity Price Forecasting ... -
Day-ahead optimization dispatch strategy for large-scale battery energy storage considering multiple regulation and prediction failures
( Elsevier , 2023 , Article)A large-scale battery energy storage station (LS-BESS) directly dispatched by grid operators has operational advantages of power-type and energy-type storages. It can help address the power and electricity energy imbalance ... -
DC bus control of an advanced flywheel energy storage kinetic traction system for electrified railway industry
( IEEE , 2013 , Conference)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 ...
