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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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Anomaly detection in quasi-periodic energy consumption data series: a comparison of algorithms
The diffusion of domotics solutions and of smart appliances and meters enables the monitoring of energy consumption at a very fine level and the...
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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...
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A new approach for detecting process injection attacks using memory analysis
This paper introduces a new approach for examining and analyzing fileless malware artifacts in computer memory. The proposed approach offers the...
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Persuasive Strategies and Emotional States: Towards Emotion-Adaptive Persuasive Technologies Design
Technologies have been shown to alter how people feel and create outlets for expressing positive and/or negative emotions. This indicates that...
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MLASP: Machine learning assisted capacity planning
In industrial environments it is critical to find out the capacity of a system and plan for a deployment layout that meets the production traffic...
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An IoT-based forest fire detection system: design and testing
According to the most current Global Forest Resources Assessment (GFRA) report, from 2003 and 2012, there were about 67 MHa of forest fires each...
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Calm Digital Artwork for Connectedness: A Case Study
Connectedness is increasingly recognized as an important aspect of life and wellbeing. The technology-driven solutions aimed at fostering...
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Eye tracking-based evaluation of accessible and usable interactive systems: tool set of guidelines and methodological issues
This paper describes some fundamentals and challenges in using eye tracking for the assessment of usability and accessibility in the fields in...
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A heartbeat-based study of attention in the detection of digital alarms from focused and distributed supervisory control systems
Connected operators of future factories will interact with different devices to be ready to acknowledge any request to intervene or to take back...
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Feature Extraction of Dichotomous Equipment Based on Non-intrusive Load Monitoring and Decomposition
Non-invasive load monitoring and decomposition technology plays a very important role in the process of intelligent power grid construction nowadays....
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A model-based architecture for interactive run-time monitoring
We present a model-based architecture for monitoring executions of models of real-time and embedded systems. This architecture is highly configurable...
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ApplianceNet: a neural network based framework to recognize daily life activities and behavior in smart home using smart plugs
A smart plug can transform the typical electrical appliance into a smart multi-functional device, which can communicate over the Internet. It has the...
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DynaCo: Dynamic Coherence Management for Tiled Manycore Architectures
Embedded system applications, with their inherently limited parallelism, rarely exploit all available processing resources in large DSM-based...
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Sport and Nutrition Digital Analysis: A Legal Assessment
This paper presents and evaluates legal aspects related to digital technologies applied in the elite soccer domain. Data Protection regulations in...
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Eye Tracking Review: Importance, Tools, and Applications
Eye tracking technology has evolved as a powerful and flexible tool, providing critical insights into human visual activity and cognitive processes...
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An Explainable By-Design Framework for Transparent User-Centric AI Energy Services
This paper explores Explainable Artificial Intelligence (XAI) in the energy sector, highlighting its importance for enhancing transparency, user...
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A Multi-level Monitoring Framework for Containerized Self-Adaptive Early Warning Applications
Internet of Things (IoT) applications such as disaster early warning systems are increasingly being used in many areas of human life and business...
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Digital human and embodied intelligence for sports science: advancements, opportunities and prospects
This paper presents a comprehensive review of state-of-the-art motion capture techniques for digital human modeling in sports, including traditional...
