Results 11 to 20 of about 228,850 (260)

Ontology Learning Applications of Knowledge Base Construction for Microelectronic Systems Information

open access: yesInformation, 2023
Knowledge base construction (KBC) using AI has been one of the key goals of this highly popular technology since its emergence, as it helps to comprehend everything, including relations, around us.
Frank Wawrzik   +3 more
doaj   +1 more source

Development of evaluation for sinter ore mixing using discrete element method

open access: yesNihon Kikai Gakkai ronbunshu, 2023
Recent increase of low-grade, finer iron ore leads to development of powder handling methodology applicable for fine powders. In order to reduce developing time of mechanical facilities, development of optimization methodology of mechanical property in ...
Yusuke ISHIGAKI   +2 more
doaj   +1 more source

Quantum cyber-physical systems

open access: yesScientific Reports, 2022
AbstractThis paper aims to promote a quantum framework that analyzes Industry 4.0 cyber-physical systems more efficiently than traditional simulations used to represent integrated systems. The paper proposes a novel configuration of distributed quantum circuits in multilayered complex networks that enable the evaluation of industrial value creation ...
Villalba-Diez, Javier   +4 more
openaire   +7 more sources

Cyber-Physical Systems [PDF]

open access: yes2019 IEEE International Conference on Mechatronics (ICM), 2019
In this chapter, we first introduce the concept of the cyber physical systems (CPS) and explain the importance of privacy and security in CPS. Then, we present four different applications of CPS in the real world and briefly summarize the state-of-art research and the research challenges for the privacy preservation and big data analysis in these CPS ...
Welf-Guntram Drossel   +3 more
  +4 more sources

An attention enhanced dilated CNN approach for cross-axis industrial robotics fault diagnosis

open access: yesAutonomous Intelligent Systems, 2022
An industrial robot is a complex mechatronics system, whose failure is hard to diagnose based on monitoring data. Previous studies have reported various methods with deep network models to improve the accuracy of fault diagnosis, which can get an ...
Yuxin Liu   +3 more
doaj   +1 more source

Fault diagnosis of industrial robot based on dual-module attention convolutional neural network

open access: yesAutonomous Intelligent Systems, 2022
Fault diagnosis plays a vital role in assessing the health management of industrial robots and improving maintenance schedules. In recent decades, artificial intelligence-based data-driven approaches have made significant progress in machine fault ...
Kaijie Lu   +4 more
doaj   +1 more source

Underwater Image Enhancement via Triple-Branch Dense Block and Generative Adversarial Network

open access: yesJournal of Marine Science and Engineering, 2023
The complex underwater environment and light scattering effect lead to severe degradation problems in underwater images, such as color distortion, noise interference, and loss of details.
Peng Yang   +4 more
doaj   +1 more source

Expected Failure Method and Its Analysis for Safety Evaluation in a Cyber-Physical Power System

open access: yesIEEE Access, 2022
With the development of communication technology, power and information systems have become deeply coupled and have become the most massive and complex cyber-physical power systems (CPPSs), resulting in certain risks to the safe operation of power ...
Yan Wang   +4 more
doaj   +1 more source

Experimental Study of Ghost Imaging in Underwater Environment

open access: yesSensors, 2022
Underwater imaging technique is a crucial tool for humans to develop, utilize, and protect the ocean. We comprehensively compare the imaging performance of twenty-four ghost imaging (GI) methods in the underwater environment.
Heng Wu   +4 more
doaj   +1 more source

Transformers for autonomous recognition of psychiatric dysfunction via raw and imbalanced EEG signals

open access: yesBrain Informatics, 2023
Early identification of mental disorders, based on subjective interviews, is extremely challenging in the clinical setting. There is a growing interest in developing automated screening tools for potential mental health problems based on biological ...
Neha Gour   +6 more
doaj   +1 more source

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