Quality of experience (QoE) and quality of service (QoS) in UAV systems

A Laghari, A Khan, H Hui - Imaging and Sensing for …, 2019 - pearl.plymouth.ac.uk
This chapter studies both the quality of service (QoS) and quality of experience (QoE) of
unmanned aerial vehicle cyber-physical systems (UAV-CPSs). These parameters help to …

Improving resilience in cyber-physical systems based on transfer learning

MS Azari, F Flammini, S Santini - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
An essential aspect of resilience within Cyber-Physical Systems stands in their capacity of
early detection of faults before they generate failures. Faults can be of any origin, either …

Managing caching strategies for stream reasoning with reinforcement learning

C Dodaro, T Eiter, P Ogris… - Theory and Practice of …, 2020 - cambridge.org
Efficient decision-making over continuously changing data is essential for many application
domains such as cyber-physical systems, industry digitalization, etc. Modern stream …

Self-adaptation techniques in cyber-physical systems (CPSs)

S Zeadally, T Sanislav, GD Mois - IEEE Access, 2019 - ieeexplore.ieee.org
Cyber-Physical Systems (CPSs) are large-scale complex systems that monitor and control
physical processes by using computer algorithms tightly integrated with networking and their …

FaTEMa: A framework for multi-layer fault tolerance in IoT systems

M Melo, G Aquino - Sensors, 2021 - mdpi.com
Fault tolerance in IoT systems is challenging to overcome due to its complexity, dynamicity,
and heterogeneity. IoT systems are typically designed and constructed in layers. Every layer …

Can Large Language Models Analyze Software Failures in the News? An End-to-End Automated Pipeline with FAIL

D Anandayuvaraj, M Campbell, A Tewari… - arXiv preprint arXiv …, 2024 - arxiv.org
Software failures inform engineering work, standards, regulations. For example, the Log4J
vulnerability brought government and industry attention to evaluating and securing software …

A Blockchain Approach for Migrating a Cyber-Physical Water Monitoring Solution to a Decentralized Architecture

BI Pahontu, A Petcu, A Predescu, DA Arsene… - Water, 2023 - mdpi.com
Water is one of the most important resources in our lives, and because of this, the interest in
water management systems is growing constantly. A primary concern regarding urban water …

Construction of approximate reasoning model for dynamic CPS network and system parameter identification

J Xiong, J Wu - Computer Communications, 2020 - Elsevier
Abstract CPS (Cyber Physical System) is a large and complex real-time feedback system
that integrates computing processes, physical processes, communication networks, sensor …

Data resilience system for fog computing

FMR Junior, CA Kamienski - Computer Networks, 2021 - Elsevier
Fog computing improves IoT systems by analyzing and storing data locally at the network
edge. However, it is challenging to design a fog-based IoT system data flow as data …

Toward evaluation of deployment architecture of ml-based cyber-physical systems

L Gisselaire, F Cario, Q Guerre-Berthelot… - 2019 34th IEEE/ACM …, 2019 - ieeexplore.ieee.org
In this position paper, we explore a way to assess deployment architectures for intelligent
Cyber-Physical Systems (iCPS). Our long-term goal is to establish a method that allows a …