scholarly journals Complete Test of Synthesised Safety Supervisors for Robots and Autonomous Systems

2021 ◽  
Vol 348 ◽  
pp. 101-109
Author(s):  
Mario Gleirscher ◽  
Jan Peleska
Keyword(s):  
Autonomous Systems ◽  
Complete Test

Systems Engineering for Ethical Autonomous Systems

2019 ◽  
Author(s):  
Tony Gillespie
Keyword(s):  
Systems Engineering ◽  
Autonomous Systems

THE CONCEPT OF AUTONOMOUS SYSTEMS IN INDUSTRY 4.0

2019 ◽  
Vol 12 (1) ◽  
pp. 77-87
Author(s):  
György Kovács ◽  
Rabab Benotsmane ◽  
László Dudás
Keyword(s):  
Industry 4.0 ◽  
Intelligent Systems ◽  
Autonomous Systems ◽  
Essential Element ◽  
Industrial Sector ◽  
Life Cycles ◽  
Multi Agent Systems ◽  
New Paradigm ◽  
Intelligent Machines ◽  
Digital Network

Recent tendencies – such as the life-cycles of products are shorter while consumers require more complex and more unique final products – poses many challenges to the production. The industrial sector is going through a paradigm shift. The traditional centrally controlled production processes will be replaced by decentralized control, which is built on the self-regulating ability of intelligent machines, products and workpieces that communicate with each other continuously. This new paradigm known as Industry 4.0. This conception is the introduction of digital network-linked intelligent systems, in which machines and products will communicate to one another in order to establish smart factories in which self-regulating production will be established. In this article, at first the essence, main goals and basic elements of Industry 4.0 conception is described. After it the autonomous systems are introduced which are based on multi agent systems. These systems include the collaborating robots via artificial intelligence which is an essential element of Industry 4.0.

Fail-Safe Model of Interaction of Autonomous Systems in Global Networks

2006 ◽  
Vol 65 (3) ◽  
pp. 243-251
Author(s):  
I. M. Aliev
Keyword(s):  
Autonomous Systems ◽  
Global Networks ◽  
Fail Safe ◽  
Safe Model

Multiple Sclerosis: Treadmill Versus Cycle Ergometry Maximal Exercise Test Responses

2020 ◽  
Vol 9 (3) ◽  
pp. 113-117
Author(s):  
Garett Griffith ◽  
Badeia Saed ◽  
Tracy Baynard
Keyword(s):  
Multiple Sclerosis ◽  
Aerobic Capacity ◽  
Work Capacity ◽  
Cross Sectional Study ◽  
Cycle Ergometer ◽  
Cycle Ergometry ◽  
Cross Sectional ◽  
Complete Test ◽  
Peak Aerobic Capacity ◽  
Predicted Values

ABSTRACT Background: Multiple sclerosis (MS) is an autoimmune disease that impacts the central nervous system. MS generally results in decreased mobility and work capacity. Our objective was to determine exercise testing responses on both a treadmill and cycle ergometer among individuals with MS who were able to ambulate freely. Methods: Twenty-six individuals with MS participated in a cross-sectional study (44 ± 11 years; body mass index 26.8 ± 6.2 kg·m−2; expanded disability scale score 3.1 ± 0.9), with 24 individuals with complete test data for both treadmill and cycle ergometry tests. Peak aerobic capacity (VO2peak) for both treadmill and cycle ergometry tests were measured with indirect calorimetry. Results: Participants safely completed both treadmill and cycle ergometry tests, and treadmill testing yielded higher values (26.7 ± 6.4 mL·kg−1·min−1) compared with cycle ergometry (23.7 ± 5.7 mL·kg−1·min−1), with values ~12% greater for treadmill. When comparing tests to their respected predicted values within modality, treadmill tests were 8% lower and cycle ergometry tests were 10% lower than predicted. Conclusions: While peak aerobic capacity was very low for this population, treadmill tests were still higher than cycle ergometry data, with this difference between modes being similar to that observed in healthy adult populations. Additional research is required to determine if these findings are impacted by participation in physical activity or regular exercise.

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