Characteristic Analyzation of Cyber Physical Systems

2014 ◽  
Vol 484-485 ◽  
pp. 427-430
Author(s):  
Zhe Jun Kuang ◽  
Liang Hu ◽  
Chen Zhang
Keyword(s):  
Real Time ◽  
Heterogeneous Systems ◽  
Physical World ◽  
Cyber Physical Systems ◽  
Physical Processes ◽  
Physical Systems ◽  
Time Performance ◽  
Research Challenges ◽  
Computer Mediated ◽  
And Control

Cyber-physical systems (CPS) are complex distributed heterogeneous systems which integrating cyber and physical processes by computation, communication and control. During interaction between cyber and physical world, the traditional theories and applications has been difficult to satisfy real-time performance and efficient. Cyber-physical systems clearly have a role to play in developing a new theory of computer-mediated physical systems. The aim of this work is to analysis the features and relation technology of CPS that get better understanding for this new field. We summarized the research progresses from different perspectives such as modeling, classical tools and applications. Finally, the research challenges for CPS are in brief outlined.

scholarly journals Architectures and Protocols for Wireless Sensor and Actuator Networks

2021 ◽  
Vol 10 (3) ◽  
pp. 52
Author(s):  
Piergiuseppe Di Marco ◽  
Pangun Park
Keyword(s):  
Internet Of Things ◽  
Wireless Networking ◽  
Cyber Physical Systems ◽  
Wireless Sensor ◽  
Physical Processes ◽  
Physical Systems ◽  
Recent Advances ◽  
And Control

Recent advances in wireless networking, sensing, computing, and control are revolutionizing how physical systems interact with information and physical processes such as Cyber-Physical Systems (CPS), Internet of Things (IoT), and Tactile Internet. [...]

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.

Challenges on Coordination for Cyber-Physical Systems

2013 ◽  
Vol 347-350 ◽  
pp. 2942-2946
Author(s):  
Meng Sun
Keyword(s):  
Physical World ◽  
Cyber Physical Systems ◽  
Complex Interaction ◽  
Monitoring And Control ◽  
Design And Development ◽  
Physical Systems ◽  
Analysis Design ◽  
New Challenges ◽  
And Control

Cyber-physical systems integrate computing and communication with monitoring and control of physical entities. The complex interaction with the physical world makes coordination models and languages very important for the analysis, design and development of cyber-physical systems. This paper discusses several new challenges on coordination models and languages in the context of the emerging phenomenon of cyber-physical systems.

A Smart Home Architectural Design of Cyber Physical Systems

2014 ◽  
Vol 484-485 ◽  
pp. 785-789 ◽  
Author(s):  
Zhe Jun Kuang ◽  
Liang Hu ◽  
Chen Zhang
Keyword(s):  
Smart Home ◽  
Architectural Design ◽  
Physical World ◽  
Cyber Physical Systems ◽  
Distributed Control System ◽  
Real Time Control ◽  
Physical Systems ◽  
Time Control ◽  
Physical Interfaces ◽  
And Control

the development of the smart home has broken many the traditional ways, which are a new, comfortable, convenient way for people to live and work in a better environment. Smart home services should be completed within the effective time-related tasks, and real-time control strategy plays an important role. CPS is a complicated distributed control system,interaction between cyber world and physical world by computation, communication and control. CPS provides methods of the compositionality, distributed Sensing, physical interfaces and human interfaces integration that could help smart home system become more intelligent and humanization. In this paper, we analyze the characteristics of CPS and Smart home system, design an architectural of CPS for smart home.

Emerging Cyber-Physical Systems : An Overview

2018 ◽  
pp. 306-316
Author(s):  
Okolie S.O. ◽  
Kuyoro S.O. ◽  
Ohwo O. B
Keyword(s):  
Health Care ◽  
Economic Benefit ◽  
Physical World ◽  
Cyber Physical Systems ◽  
Cyber Physical System ◽  
Economic Sectors ◽  
Strategic Research ◽  
Physical Systems ◽  
Security Issues ◽  
Wide Range

Cyber-Physical Systems (CPS) will revolutionize how humans relate with the physical world around us. Many grand challenges await the economically vital domains of transportation, health-care, manufacturing, agriculture, energy, defence, aerospace and buildings. Exploration of these potentialities around space and time would create applications which would affect societal and economic benefit. This paper looks into the concept of emerging Cyber-Physical system, applications and security issues in sustaining development in various economic sectors; outlining a set of strategic Research and Development opportunities that should be accosted, so as to allow upgraded CPS to attain their potential and provide a wide range of societal advantages in the future.

scholarly journals Assurance monitoring of learning-enabled cyber-physical systems using inductive conformal prediction based on distance learning

2021 ◽  
Vol 35 (2) ◽  
pp. 251-264
Author(s):  
Dimitrios Boursinos ◽  
Xenofon Koutsoukos
Keyword(s):  
Neural Networks ◽  
Distance Learning ◽  
Real Time ◽  
Speaker Recognition ◽  
Deep Neural Networks ◽  
Cyber Physical Systems ◽  
Error Rates ◽  
Traffic Sign ◽  
Conformal Prediction ◽  
Physical Systems

AbstractMachine learning components such as deep neural networks are used extensively in cyber-physical systems (CPS). However, such components may introduce new types of hazards that can have disastrous consequences and need to be addressed for engineering trustworthy systems. Although deep neural networks offer advanced capabilities, they must be complemented by engineering methods and practices that allow effective integration in CPS. In this paper, we proposed an approach for assurance monitoring of learning-enabled CPS based on the conformal prediction framework. In order to allow real-time assurance monitoring, the approach employs distance learning to transform high-dimensional inputs into lower size embedding representations. By leveraging conformal prediction, the approach provides well-calibrated confidence and ensures a bounded small error rate while limiting the number of inputs for which an accurate prediction cannot be made. We demonstrate the approach using three datasets of mobile robot following a wall, speaker recognition, and traffic sign recognition. The experimental results demonstrate that the error rates are well-calibrated while the number of alarms is very small. Furthermore, the method is computationally efficient and allows real-time assurance monitoring of CPS.

A Hybrid Siamese Neural Network for Natural Language Inference in Cyber-Physical Systems

2021 ◽  
Vol 21 (2) ◽  
pp. 1-25
Author(s):  
Pin Ni ◽  
Yuming Li ◽  
Gangmin Li ◽  
Victor Chang
Keyword(s):  
Natural Language ◽  
Language Processing ◽  
Short Term Memory ◽  
Physical World ◽  
Heterogeneous Data ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Language Data ◽  
Text Language ◽  
Different Sources

Cyber-Physical Systems (CPS), as a multi-dimensional complex system that connects the physical world and the cyber world, has a strong demand for processing large amounts of heterogeneous data. These tasks also include Natural Language Inference (NLI) tasks based on text from different sources. However, the current research on natural language processing in CPS does not involve exploration in this field. Therefore, this study proposes a Siamese Network structure that combines Stacked Residual Long Short-Term Memory (bidirectional) with the Attention mechanism and Capsule Network for the NLI module in CPS, which is used to infer the relationship between text/language data from different sources. This model is mainly used to implement NLI tasks and conduct a detailed evaluation in three main NLI benchmarks as the basic semantic understanding module in CPS. Comparative experiments prove that the proposed method achieves competitive performance, has a certain generalization ability, and can balance the performance and the number of trained parameters.

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