Human-Interaction-aware Adaptive Functional Safety Processing for Multi-Functional Automotive Cyber-Physical Systems

2019 ◽  
Vol 3 (4) ◽  
pp. 1-25
Author(s):  
Guoqi Xie ◽  
Yang Bai ◽  
Wei Wu ◽  
Yanwen Li ◽  
Renfa Li ◽  
...  
Keyword(s):  
Cyber Physical Systems ◽  
Human Interaction ◽  
Functional Safety ◽  
Physical Systems

scholarly journals Timing Predictability and Security in Safety-Critical Industrial Cyber-Physical Systems: A Position Paper

2020 ◽  
Vol 10 (9) ◽  
pp. 3125
Author(s):  
Saad Mubeen ◽  
Elena Lisova ◽  
Aneta Vulgarakis Feljan
Keyword(s):  
Embedded Systems ◽  
Cyber Physical Systems ◽  
Position Paper ◽  
Technological Advancement ◽  
Functional Safety ◽  
Physical Systems ◽  
Safety Critical ◽  
Secure Embedded Systems ◽  
Time Critical ◽  
Networking Technology

Cyber Physical Systems (CPSs) are systems that are developed by seamlessly integrating computational algorithms and physical components, and they are a result of the technological advancement in the embedded systems and distributed systems domains, as well as the availability of sophisticated networking technology. Many industrial CPSs are subject to timing predictability, security and functional safety requirements, due to which the developers of these systems are required to verify these requirements during the their development. This position paper starts by exploring the state of the art with respect to developing timing predictable and secure embedded systems. Thereafter, the paper extends the discussion to time-critical and secure CPSs and highlights the key issues that are faced when verifying the timing predictability requirements during the development of these systems. In this context, the paper takes the position to advocate paramount importance of security as a prerequisite for timing predictability, as well as both security and timing predictability as prerequisites for functional safety. Moreover, the paper identifies the gaps in the existing frameworks and techniques for the development of time- and safety-critical CPSs and describes our viewpoint on ensuring timing predictability and security in these systems. Finally, the paper emphasises the opportunities that artificial intelligence can provide in the development of these systems.

Towards a Comprehensive Theory of Multi-Aspect Interaction With Cyber Physical Systems

2015 ◽  
Author(s):  
Imre Horváth ◽  
Junfeng Wang
Keyword(s):  
Interaction Design ◽  
Cyber Physical Systems ◽  
Human Interaction ◽  
Human System ◽  
Physical Systems ◽  
Comprehensive Theory ◽  
The Common ◽  
New Challenges ◽  
Aspect Interaction ◽  
Open Issues

Interaction with cyber-physical systems (CPSs) is a new challenge for system developers and human-system interaction designers, and but also for end-users. Due to the lack of proper insights, there are many unknowns, open issues, and eventually new challenges. For this reason, there is a need for a comprehensive theory that considers all aspects of interaction with CPSs, provides a reasoning framework, and facilitates the implementation of highly interactive CPSs. The research presented in this paper tries to make the first steps in this direction. We are aware of the fact that, in the case of CPSs, system-human interaction and system-system interaction are to be considered besides human-system interaction. Human-system interaction influenced by: (i) the level of interaction, (ii) the intellectual domains of interaction, (iii) the contexts of interaction, and (iv) the modalities of interaction. The proposed theory decomposes these into various constituents and captures the relations among them. Physical, syntactic, semantic, semantic, pragmatic and apobetic levels of interaction are considered in combination with four domains of interaction (perceptive, cognitive, motor, and emotional). In addition to the common human interaction modalities (visual, audio, haptic, etc.), the theory also considers system communication channels. It is claimed that interaction is also influenced by the implicit context implied by the specific objectives of interaction, i.e., cooperation, coordination, collaboration of coadunation, and not only by the explicit context provided by narrower and broader embedding environments of CPSs. The theory establishes explicit relationships between the above mentioned influencing factors, which are important at specifying wishful interaction profiles. The advantages that the proposed comprehensive theory offers in comparison with the traditional interaction design approaches are shown through the example of a smart bathroom.

Railway cyber safety: An intelligent threat perspective

2021 ◽  
pp. 095440972110005
Author(s):  
Duncan Unwin ◽  
Louis Sanzogni
Keyword(s):  
Control System ◽  
Cyber Physical Systems ◽  
Functional Safety ◽  
Systems Of Systems ◽  
Physical Systems ◽  
System Components ◽  
Cyber Safety

Cybersecurity threats to railways are increasing, both due to improvements in the techniques of hackers and the increasing merger of cyber and physical spheres. Accepted approaches to safety can be extended to consider the risks from cyber, however the nature of railways as complex cyber-physical systems of systems may require a broader approach beyond functional safety. This paper explores some of the cybersecurity hazards using a war gaming approach. The authors find that, while standard engineering approaches are effective in building new rail control system components, a broader and more creative consideration of attacks has benefits. In particular they identify the ability to cause mass disruption by targeting the fail-safes designed to ensure safety or auxiliary systems that are not directly classified within the scope of the ICS.

scholarly journals Introduction to the Special Issue on Human-interaction-aware Data Analytics for Cyber-physical Systems

2019 ◽  
Vol 3 (4) ◽  
pp. 1-2
Author(s):  
Tongquan Wei ◽  
Junlong Zhou ◽  
Rajiv Ranjan ◽  
Isaac Triguero ◽  
Huafeng Yu ◽  
...  
Keyword(s):  
Data Analytics ◽  
Cyber Physical Systems ◽  
Human Interaction ◽  
Special Issue ◽  
Physical Systems

scholarly journals Research Challenges and QoS Provisioning MAC Protocol for Cyber Physical Systems

2019 ◽  
Vol 9 (2S) ◽  
pp. 627-632
Keyword(s):  
Virtual World ◽  
Mac Protocol ◽  
Low Cost ◽  
Physical World ◽  
Cyber Physical Systems ◽  
Human Interaction ◽  
Time Data ◽  
Physical Systems ◽  
Research Challenges ◽  
Increasing Demand

One of the latest emerging class of systems which implants cyber features into the physical world is the Cyber Physical System (CPS), which provides a platform for interaction between physical world and virtual world. CPS promises to transform the physical world to virtual world through interaction similar to human interaction with each other. With the increasing demand of cyber physical systems in various applications, it requires wide variety of communication protocols for reliable and real time data transmission. The low- power and low – cost features of some canonical protocols lead to some short falls, reliability and timeliness. In this paper, we discuss an extensive survey on MAC protocols and Research challenges for enhancing the QoS in CPS.

scholarly journals Multi-agent deep reinforcement learning concept for mobile cyber-physical systems control

2021 ◽  
Vol 270 ◽  
pp. 01036
Author(s):  
Vyacheslav Petrenko ◽  
Mikhail Gurchinskiy
Keyword(s):  
Reinforcement Learning ◽  
Computational Complexity ◽  
Experimental Studies ◽  
Cyber Physical Systems ◽  
Management Policy ◽  
Functional Safety ◽  
Physical Systems ◽  
Multi Agent ◽  
Learning Concept ◽  
High Computational Complexity

High complexity of mobile cyber physical systems (MCPS) dynamics makes it difficult to apply classical methods to optimize the MCPS agent management policy. In this regard, the use of intelligent control methods, in particular, with the help of artificial neural networks (ANN) and multi-agent deep reinforcement learning (MDRL), is gaining relevance. In practice, the application of MDRL in MCPS faces the following problems: 1) existing MDRL methods have low scalability; 2) the inference of the used ANNs has high computational complexity; 3) MCPS trained using existing methods have low functional safety. To solve these problems, we propose the concept of a new MDRL method based on the existing MADDPG method. Within the framework of the concept, it is proposed: 1) to increase the scalability of MDRL by using information not about all other MCPS agents, but only about n nearest neighbors; 2) reduce the computational complexity of ANN inference by using a sparse ANN structure; 3) to increase the functional safety of trained MCPS by using a training set with uneven distribution of states. The proposed concept is expected to help address the challenges of applying MDRL to MCPS. To confirm this, it is planned to conduct experimental studies.

Sign in / Sign up

Export Citation Format

Share Document