scholarly journals Innovative computational intelligence knowledge-based solutions for zero defect scenarios on industrial cyber-physical systems

2018 ◽  
Keyword(s):  
Computational Intelligence ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Knowledge Based

scholarly journals A Computational Framework for Procedural Abduction Done by Smart Cyber-Physical Systems

Designs ◽  
2018 ◽  
Vol 3 (1) ◽  
pp. 1 ◽  
Author(s):  
Imre Horváth
Keyword(s):  
Performance Enhancement ◽  
Cyber Physical Systems ◽  
Comprehensive Description ◽  
Computational Framework ◽  
Learning Mechanism ◽  
Physical Systems ◽  
Knowledge Based ◽  
System Adaptation ◽  
Ampliative Reasoning ◽  
Run Time

To be able to provide appropriate services in social and human application contexts, smart cyber-physical systems (S-CPSs) need ampliative reasoning and decision-making (ARDM) mechanisms. As one option, procedural abduction (PA) is suggested for self-managing S-CPSs. PA is a knowledge-based computation and learning mechanism. The objective of this article is to provide a comprehensive description of the computational framework proposed for PA. Towards this end, first the essence of smart cyber-physical systems is discussed. Then, the main recent research results related to computational abduction and ampliative reasoning are discussed. PA facilitates beliefs-driven contemplation of the momentary performance of S-CPSs, including a ‘best option’-based setting of the servicing objective and realization of any demanded adaptation. The computational framework of PA includes eight clusters of computational activities: (i) run-time extraction of signals and data by sensing, (ii) recognition of events, (iii) inferring about existing situations, (iv) building awareness of the state and circumstances of operation, (v) devising alternative performance enhancement strategies, (vi) deciding on the best system adaptation, (vii) devising and scheduling the implied interventions, and (viii) actuating effectors and controls. Several cognitive algorithms and computational actions are used to implement PA in a compositional manner. PA necessitates not only a synergic interoperation of the algorithms, but also an objective-dependent fusion of the pre-programmed and the run time acquired chunks of knowledge. A fully fledged implementation of PA is underway, which will make verification and validation possible in the context of various smart CPSs.

scholarly journals Knowledge-based cyber-physical systems for assembly automation

2019 ◽  
Vol 7 (1) ◽  
pp. 223-254 ◽  
Author(s):  
Munir Merdan ◽  
Timon Hoebert ◽  
Erhard List ◽  
Wilfried Lepuschitz
Keyword(s):  
Cyber Physical Systems ◽  
Physical Systems ◽  
Knowledge Based ◽  
Assembly Automation

RDR-based knowledge based system to the failure detection in industrial cyber physical systems

2018 ◽  
Vol 150 ◽  
pp. 1-13 ◽  
Author(s):  
Dohyeong Kim ◽  
Soyeon Caren Han ◽  
Yingru Lin ◽  
Byeong Ho Kang ◽  
Sungyoung Lee
Keyword(s):  
Failure Detection ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Knowledge Based System ◽  
Knowledge Based

scholarly journals Digitization, Epistemic Proximity, and the Education System: Insights from a Bibliometric Analysis

2021 ◽  
Vol 14 (6) ◽  
pp. 267
Author(s):  
Ugo Fiore ◽  
Adrian Florea ◽  
Claudiu Vasile Kifor ◽  
Paolo Zanetti
Keyword(s):  
Education System ◽  
Computational Intelligence ◽  
Digital Technology ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Support Organizations ◽  
Scopus Database ◽  
Similarities And Differences

Advances in IoT, AI, Cyber-Physical Systems, Computational Intelligence, and Big Data Analytics require organizations and workforce to be able and willing to learn how to interact with digital technology. In organizations, coordination and cooperation between actors with expertise in business and technology is fundamental, but integration is hard without understanding the terminology and problems of the interlocutor. Epistemic proximity becomes prominent, underlining the importance of an education focused on flexibility, willingness to cope with the unknown, and interdisciplinarity. The main goal of this work is to provide a perspective on how the education system is evolving to support organizations in the digitization era through a quantitative analysis of literature. More than 170,000 papers were selected from the Scopus database, matching a wide set of keywords related with innovation, problem solving, and organizational change. Patterns in the co-occurrence of keywords were studied. In addition, similarities and differences in the distribution of relevant themes across disciplinary areas, as well as their evolution since 2000, were analyzed. Academic interest is found to be generally increasing over the years in all disciplines, although considerable fluctuations can be observed. This variation is found to be nonuniform in the macroareas.

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