Results 31 to 40 of about 17,609 (265)

On Performance of PBFT Blockchain Consensus Algorithm for IoT-Applications With Constrained Devices

open access: yesIEEE Access, 2021
Cyber-physical systems and the Internet of things (IoT) are becoming an integral part of the digital society. The use of IoT services improves human life in many ways.
Yaroslav Meshcheryakov   +4 more
doaj   +1 more source

Cyber-Resilience Evaluation of Cyber-Physical Systems [PDF]

open access: yes2020 IEEE 19th International Symposium on Network Computing and Applications (NCA), 2020
11 pages, 2 figures, 6 ...
Mariana Segovia   +3 more
openaire   +2 more sources

Autonomous Underwater Robot Fuzzy Motion Control System with Parametric Uncertainties

open access: yesDesigns, 2021
The paper describes the design of a fuzzy motion control system of an autonomous underwater vehicle. A mathematical model of the underwater vehicle is synthesized.
Anton Zhilenkov   +2 more
doaj   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

open access: yesAdvanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong   +11 more
wiley   +1 more source

Medical cyber physical systems

open access: yesProceedings of the 47th Design Automation Conference, 2010
We discuss current trends in the development and use of high-confidence medical cyber-physical systems (MCPS). These trends, including increased reliance on software to deliver new functionality, wider use of network connectivity in MCPS, and demand for continuous patient monitoring, bring new challenges into the process of MCPS development and at the ...
Insup Lee 0001, Oleg Sokolsky
openaire   +3 more sources

A Misbehaving-Proof Game Theoretical Selection Approach for Mobile Crowd Sourcing

open access: yesIEEE Access, 2020
With the tremendous advances in ubiquitous computing, mobile crowd sourcing (MCS) has become an appealing part of the Internet of Things (IoT). In MCS systems, workers collect data with a certain quality, and get incentivized in return.
Menatalla Abououf   +4 more
doaj   +1 more source

Effectiveness assessment of Cyber-Physical Systems [PDF]

open access: yesInternational Journal of Approximate Reasoning, 2020
By achieving their purposes through interactions with the physical world, Cyber-Physical Systems (CPS) pose new challenges in terms of dependability. Indeed, the evolution of the physical systems they control with transducers can be affected by surrounding physical processes over which they have no control and which may potentially hamper the ...
Rocher, Gérald   +3 more
openaire   +4 more sources

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

open access: yesAdvanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano   +3 more
wiley   +1 more source

Repurposing South Africa’s Retiring Coal-Fired Power Stations for Renewable Energy Generation: A Techno-Economic Analysis

open access: yesEnergies, 2022
South Africa is one of the most carbon-intensive economies in the world, but it is presently experiencing an energy crisis, as its utility company cannot meet the country’s energy demands.
Gugulethu Nogaya   +2 more
doaj   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

open access: yesAdvanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao   +6 more
wiley   +1 more source

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