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System Intrusion Detection and Prevention
Psychologically there is value attached to ownership of an asset. How much is spent on protecting the asset determines the value of the asset. Once a...
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Composite Fault Signal Detection Method of Electromechanical Equipment Based on Empirical Mode Decomposition
Aiming at the problem of low detection accuracy when the traditional method is used to detect the composite fault signal of electromechanical...
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A review on fall detection systems in bathrooms: challenges and opportunities
The share of the aged population over and above 65 years increased from 6% in 1990 to 9% in 2019. The percentage of the aged population might...
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An LSTM Framework for the Effective Screening of Dementia for Deployment on Edge Devices
Dementia is a series of neurodegenerative disorders that affect 1 in 4 people over the age of 80 and can greatly reduce the quality of life of those...
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On time series representations for multi-label NILM
Given only the main power consumption of a household, a non-intrusive load monitoring (NILM) system identifies which appliances are operating. With...
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Identification of encrypted and malicious network traffic based on one-dimensional convolutional neural network
The rapid advancement of the Internet has brought a exponential growth in network traffic. At present, devices deployed at edge nodes process huge...
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Intelligent energy management systems: a review
Climate change has become a major problem for humanity in the last two decades. One of the reasons that caused it, is our daily energy waste. People...
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TrIDS: an intelligent behavioural trust based IDS for smart healthcare system
The Medical Cyber-Physical Systems (MCPS) are composed of several medical devices and low-cost sensors for real-time diagnosis, monitoring, and...
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The Evaluations of the Impact of the Pilot’s Visual Behaviours on the Landing Performance by Using Eye Tracking Technology
Introduction. Eye tracking technology can be used to characterise a pilot's visual behaviour as well as to further analyse the workload and status of...
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AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating...
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Trace Recovery: Attacking and Defending the User Privacy in Smart Meter Data Analytics
Energy consumption data is collected the service providers and shared with various stakeholders involved in a smart grid ecosystem. The fine-grained...
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Concurrent runtime verification of data rich events
This paper presents the open-source runtime verification tool MESA (MEssage-based System Analysis), implemented in Scala, which supports concurrent...
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Vital signs estimation in elderly using camera-based photoplethysmography
In the context of Ambient Assisted Living, the demand for healthcare technologies development has been increased in the last two years by the current...
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Real-Time Human Activity Recognition in Smart Home on Embedded Equipment: New Challenges
Building Energy Management (BEM) and monitoring systems should not only consider HVAC systems and building physics but also human behaviors. These...
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SMarT: A SMT Based Privacy Preserving Smart Meter Streaming Methodology
Smart metering is a mechanism through which fine-grained power consumption profiles of the consumers are collected periodically in a Smart grid....
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“Hello? Is There Anybody in There?” Leakage Assessment of Differential Privacy Mechanisms in Smart Metering Infrastructure
Smart meters provide fine-grained power usage profiles of consumers to utility providers to facilitate various grid functionalities such as load...
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Deep Learning Techniques for Smart Meter Data Analytics: A Review
The field of smart meter data analytics is a relatively young field that recently grew due to the wealth of data generated from smart meters. Recent...
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An optimisation-based energy disaggregation algorithm for low frequency smart meter data
An algorithm for the non-intrusive disaggregation of energy consumption into its end-uses, also known as non-intrusive appliance load monitoring...
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DFTMicroagg: a dual-level anonymization algorithm for smart grid data
The introduction of advanced metering infrastructure (AMI) smart meters has given rise to fine-grained electricity usage data at different levels of...
