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Impact assessment and mitigation of the effect of cyber-physical attacks on the electric vehicles high-power fast charging stations considering open charge point protocol
(2022-12-01)
Electric Vehicles are on the rise worldwide, and the increasing demand also increases the need for High Power Fast Charging Stations. The deployment of such charging stations dictates the establishment of information and ...
Random Forest-based detection of cyber-attacks in substation automation systems in the context of IEC 61850 GOOSE communication protocol
(2022-12-01)
The development of the Smart Grid aims to improve the operation of the traditional grid through the incorporation of information and communication technology. This is typically done through the integration of communication ...
Development of a point-kinetics simulator for molten-salt reactors
(2022-08-01)
Molten-salt-fueled reactors (MSRs) are nuclear fission reactors that use a mixture of fissile material and molten fluoride salts as both fuel and primary coolant. Such reactors, which can operate at low pressure and high ...
Collision detection in smart-cities by using co-simulation
(2022-11-01)
Road traffic has become prominent in everyday living, impacting or disrupting services to people and daily routines. With the rise in automobile manufacturing and the frequency of vehicle crashes, human catastrophes, like ...
Comparative economic analysis of conventional and plug-in battery electric vehicles in Canada
(2022-12-01)
Conventional vehicles typically use gasoline for their internal combustion engines (ICEs). On the other hand, plug-in battery electric vehicles (PBEVs) use electricity to charge their batteries, so they do not need gasoline. ...
Li-ion battery electrode state of charge and degradation monitoring using battery casing as the reference electrode
(2022-08-01)
Lithium-ion battery (LIB) internal state such as state of charge (SOC), electrode capacity, and available lithium-ion monitoring is helpful for effective battery degradation monitoring. Monitoring these internal parameters ...
A real-time 12-lead electrocardiogram remote patient monitoring and analytics framework
(2022-10-01)
This work presents XBeats: A machine learning-based framework for real-time electrocardiogram monitoring and analysis that uses edge computing and data analytics for early anomaly detection. The framework encompasses a ...
A supervised machine learning-based framework to detect low-level fault injections in software systems
(2022-08-01)
Fault injection attacks inject faults into system components, inducing abnormal software behavior. Software vulnerability analysis cannot prevent new attack vectors without software modifications. Attack detection methods ...
Design and development of an autonomous flying excavator platform using a drone
(2022-09-01)
In this research, a drone-based excavation platform prototype is presented with the primary goals of balancing stability during excavation, sensing, and excavating the soil pile autonomously without human intervention. ...
Incremental learning algorithm for anomaly detection applied to computed tomography scans in nuclear industry
(2022-12-01)
During routine nuclear power plant (NPP) inspection, each maintenance tool is inspected manually before and after use on a nuclear reactor. This could result in long inspection duration (up to months), time, and resource ...