Network & Distributed Systems: Recent submissions
Now showing items 41-60 of 64
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EEG-based emotion recognition using random Convolutional Neural Networks
( Elsevier Ltd , 2022 , Article)Emotion recognition based on electroencephalogram (EEG) signals is helpful in various fields, including medical healthcare. One possible medical application is to diagnose emotional disorders in patients. Humans tend to ... -
Takagi–Sugeno fuzzy based power system fault section diagnosis models via genetic learning adaptive GSK algorithm
( Elsevier B.V. , 2022 , Article)To effectively deal with the operating uncertainties of protective relays and circuit breakers existing in the power system faults, an improved fault section diagnosis (FSD) method is proposed by using Takagi–Sugeno fuzzy ... -
Random vector functional link neural network based ensemble deep learning for short-term load forecasting
( Elsevier Ltd , 2022 , Article)Electric load forecasting is essential for the planning and maintenance of power systems. However, its un-stationary and non-linear properties impose significant difficulties in predicting future demand. This paper proposes ... -
Collaborative Truck-Drone Routing for Contactless Parcel Delivery during the Epidemic
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The COVID-19 pandemic calls for contactless deliveries. To prevent the further spread of the disease and ensure the timely delivery of supplies, this paper investigates a collaborative truck-drone routing problem for ... -
Weighting and pruning based ensemble deep random vector functional link network for tabular data classification
( Elsevier Ltd , 2022 , Article)In this paper, we first integrate normalization to the Ensemble Deep Random Vector Functional Link network (edRVFL). This re-normalization step can help the network avoid divergence of the hidden features. Then, we propose ... -
Graph ensemble deep random vector functional link network for traffic forecasting
(2022 , Article)Traffic forecasting is crucial to achieving a smart city as it facilitates public transportation management, autonomous driving, and the resource relocation of the sharing economy. Traffic forecasting belongs to the ... -
Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning
( Elsevier Ltd , 2023 , Article)The reliable control of wave energy devices highly relies on the forecasts of wave heights. However, the dynamic characteristics and significant fluctuation of waves’ historical data pose challenges to precise predictions. ... -
Dynamic ensemble deep echo state network for significant wave height forecasting
( Elsevier Ltd , 2023 , Article)Forecasts of the wave heights can assist in the data-driven control of wave energy systems. However, the dynamic properties and extreme fluctuations of the historical observations pose challenges to the construction of ... -
A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition
( Elsevier Inc. , 2023 , Article)Electroencephalogram (EEG) has become increasingly popular in driver fatigue monitoring systems. Several decomposition methods have been attempted to analyze the EEG signals that are complex, nonlinear and non-stationary ... -
The simultaneous impact of EV charging and PV inverter reactive power on the hosting distribution system's performance: A case study in kuwait
( MDPI AG , 2020 , Article)Recently, electric vehicles (EVs) have become an increasingly important topic in the field of sustainable transportation research, alongside distributed generation, reactive power compensation, charging optimization, and ... -
Real-time cooperative data routing and scheduling in software defined vehicular networks
( Elsevier B.V. , 2022 , Article)Links in vehicular networks are highly dynamic and generally exist only for a limited amount of time. Moreover, data packets are generally transmitted over multiple hops and have diverse latency requirements. The above ... -
A privacy-preserving handover authentication protocol for a group of MTC devices in 5G networks
( Elsevier Ltd , 2022 , Article)Machine Type Communication (MTC) has been emerging for a wide range of applications and services for the Internet of Things (IoT). In some scenarios, a large group of MTC devices (MTCDs) may enter the communication coverage ... -
A Reconfigurable Multipurpose SoC Mobile Platform for metal detection
( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference Paper)Background and Objectives One of the key problems in mobile robotics is the ability to understand and analyze the surrounding environment in a useful way. This is especially important in dangerous applications where human ... -
Almost BPXOR Coding Technique for Tolerating Three Disk Failures in RAID7 Architectures
( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference Paper)Redundant Array of Independent Disks (RAID) storage architectures provide protection of digital infrastructure against potential disks failures. For example, RAID-5 and RAID-6 architectures provide protection against one ... -
Using block cipher for confidentiality of images in cloud-based systems
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)This paper deals with outsourcing of computing to cloud servers where clients' images are computed and stored. It proposes a technique that obfuscates images before sending them to servers. Cloud servers can perform ... -
PriviPK: Certificate-less and secure email communication
( Elsevier Ltd , 2017 , Article)We introduce PriviPK, an infrastructure that is based on a novel combination of certificateless (CL) cryptography and key transparency techniques to enable e2e email encryption. Our design avoids (1) key escrow and deployment ... -
Context-aware RAON middleware for opportunistic network
( Elsevier B.V. , 2017 , Article)Application development and deployment on Mobile Ad Hoc Networks (MANET) is a major challenge in the widespread use of MANET. The increasing D2D communication in 5G networks has renewed interest in an effective middleware ... -
Empirical performance evaluation of QUIC protocol for Tor anonymity network
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Tor's anonymity network is one of the most widely used anonymity networks online, it consists of thousands of routers run by volunteers. Tor preserves the anonymity of its users by relaying the traffic through a number of ... -
CloudSafe: A tool for an automated security analysis for cloud computing
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Cloud computing has been adopted widely, providing on-demand computing resources to improve performance and reduce operational costs. However, these new functionalities also bring new ways to exploit the cloud computing ... -
ThreatRiskEvaluator: A Tool for Assessing Threat-Specific Security Risks in the Cloud
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)In cloud computing, security risks posed to individual clients are different based on their specific security requirements. In current practice, cloud providers usually apply generic protection mechanisms that may not be ...