scholarly journals Sensors in Cyber-Physical Systems Based on Android Operating System

2021 ◽  
Vol 6 (2) ◽  
pp. 83-89
Author(s):  
Valerii Bielik ◽  
◽  
Yuriy Morozov ◽  
Mykola Morozov
Keyword(s):  
Intelligent Systems ◽  
Major Part ◽  
Cyber Physical Systems ◽  
Measuring Instruments ◽  
Technological Parameters ◽  
Modern Life ◽  
Physical Systems ◽  
Maximum Benefit ◽  
Android Operating System ◽  
Internal Level

The cyber-physical systems take the major part of any system that help users to interact with environment processes. Cyber-physical systems are intelligent systems, which include networks of physical and computing components that interact on internal level. The basis for the development of various models of cyber-physical systems are the using of measuring instruments and their software. Measuring instruments are necessary to control technological parameters processes and the environment. The purpose was to investigate the features of interaction with sensors, to identify the most useful of them in use, to classify types and describe their capabilities for future use in developing of cyber-physical systems. The relevance of the choice of this topic is that mobile and cyber-physical systems occupy a significant place in modern life. The systems that help the user to simplify daily tasks are of maximum benefit. These tasks can be attributed to the tasks of the environment as they exist and are performed in it. Especially cyber-physical systems that interact with the environment have the ability to solve such problems. Sensors act as a tool of interaction, the so-called bridge between the environment and the program. Sensors collect and provide information for further processing and use in solving problems.

scholarly journals Leveraging Stack4Things for Federated Learning in Intelligent Cyber Physical Systems

2020 ◽  
Vol 9 (4) ◽  
pp. 59
Author(s):  
Fabrizio De Vita ◽  
Dario Bruneo
Keyword(s):  
Intelligent Systems ◽  
Physical World ◽  
Cyber Physical Systems ◽  
Training Data ◽  
Cloud Platform ◽  
Model Accuracy ◽  
Training Time ◽  
Physical Systems ◽  
The Internet Of Things ◽  
And Training

During the last decade, the Internet of Things acted as catalyst for the big data phenomenon. As result, modern edge devices can access a huge amount of data that can be exploited to build useful services. In such a context, artificial intelligence has a key role to develop intelligent systems (e.g., intelligent cyber physical systems) that create a connecting bridge with the physical world. However, as time goes by, machine and deep learning applications are becoming more complex, requiring increasing amounts of data and training time, which makes the use of centralized approaches unsuitable. Federated learning is an emerging paradigm which enables the cooperation of edge devices to learn a shared model (while keeping private their training data), thereby abating the training time. Although federated learning is a promising technique, its implementation is difficult and brings a lot of challenges. In this paper, we present an extension of Stack4Things, a cloud platform developed in our department; leveraging its functionalities, we enabled the deployment of federated learning on edge devices without caring their heterogeneity. Experimental results show a comparison with a centralized approach and demonstrate the effectiveness of the proposed approach in terms of both training time and model accuracy.

scholarly journals Cyber-Physical Systems Technologies: Applications in Industry and Education

2020 ◽  
Author(s):  
V. V. Potekhin ◽  
E. N. Selivanova ◽  
V. P. Shkodyrev
Keyword(s):  
Industry 4.0 ◽  
Intelligent Systems ◽  
Online Courses ◽  
Skills Training ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Intelligent Control System ◽  
Industrial Internet ◽  
Industry And Education ◽  
And Control

Industry 4.0 concept development forms new trends as cloud computing,  big data analysis, the industrial internet of things, machine-to-machine technologies. Cyber-physical systems (CPS) paradigm is based on these trends and integrates of computation, networking and physical processes. Synergy Center at Peter the Great St. Petersburg Polytechnic University works in the areas of intelligent systems for data processing and control, motion control systems for robotics, complex automation and mechatronics as components of CPS. Keywords: Industry 4.0, Cyber-physical systems, Digital twin; intelligent control system, automation, Global digitalisation, Practical-oriented online courses, Skills training, Joint international educational programmes.

scholarly journals DIGITAL TRANSFORMATION OF THE MANAGEMENT ORGANIZATIONAL STRUCTURE OF A PRODUCTION ENTERPRISE

2021 ◽  
Vol 23 (2) ◽  
pp. 46-50
Author(s):  
A.V. Ivaschenko ◽  
◽  
T.V. Nikiforova ◽  
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
New Technologies ◽  
Cyber Physical Systems ◽  
Information Environment ◽  
Organizational System ◽  
Physical Systems ◽  
Optimal Replacement ◽  
Proposed Model ◽  
Digital Enterprise

The article discusses the problem of finding a rational share of artificial intelligence in the organizational system of a manufacturing enterprise. An original formal-logical model of a mixed integrated information environment of a digital enterprise is proposed, which differs from analogues in the possibility of an ontological description of the processes of interaction between personnel and artificial intelligence systems. On the basis of the proposed model, a technique has been developed for the optimal replacement of staffing for cyber-physical systems with artificial intelligence components, which allows balancing the load of human resources and intelligent systems. The proposed developments can be applied in the organization of the production process of enterprises for planning and management, as well as the introduction of new technologies and artificial intelligence. Research results are recommended under the framework of implementation of the concept of Industry 4.0 for modern enterprises of industrial engineering.

Research on Aviation Electric Power Cyber Physical Systems

2013 ◽  
Vol 846-847 ◽  
pp. 126-133 ◽  
Author(s):  
Jian Bo Hu ◽  
Fei Li ◽  
Jun Wu ◽  
Jian Hao Wang ◽  
Li Peng Zhang
Keyword(s):  
Power Systems ◽  
Electric Power ◽  
Intelligent Systems ◽  
Control Strategies ◽  
Security Analysis ◽  
Electric Power Systems ◽  
Cyber Physical Systems ◽  
Electric Power System ◽  
Physical Systems ◽  
Electric Aircraft

More Electric Aircraft (MEA), which is the developing trend of the next generation of aircraft, put forward high demands on the electric power system. Cyber-Physical Systems (CPS) are a kind of novel intelligent systems with computation resources and controlled physical objects tightly integrated and interacted in the future network environment. CPS have the characteristics of real-time, synchronous, security, efficient and autonomous. This paper first elaborates the notion, characteristics, operation mechanism and technical challenges of CPS. The strategy of CPS-based next aviation electric power systems is presented. Then, the architecture of aviation electric power cyber physical systems is established. Finally, key technologies of aviation electric power cyber physical systems, including data bus, control strategies, energy management, security analysis, modeling and simulation, standardized and so on, are discussed. And directions are pointed out to offer a reference for the application of CPS in aviation electric power systems.

scholarly journals Smart measuring instruments for cyber-physical systems

2016 ◽  
Vol 77 ◽  
pp. 3-16
Author(s):  
Mykola Mykyychuk ◽  
◽  
Bohdan Stadnyk ◽  
Svyatoslav Yatsyshyn ◽  
Yaroslav Lutsyk ◽  
...  
Keyword(s):  
Cyber Physical Systems ◽  
Measuring Instruments ◽  
Physical Systems

scholarly journals Application of cognitive technologies for the formation of speech dialogue management models

2019 ◽  
Vol 23 (6) ◽  
pp. 13-21 ◽  
Author(s):  
A. A. Solodov ◽  
Т. G. Trembach
Keyword(s):  
Industry 4.0 ◽  
Intelligent Systems ◽  
Cyber Physical Systems ◽  
Cognitive Mechanisms ◽  
Dialogue Management ◽  
Physical Systems ◽  
Management Models ◽  
Mental Operations ◽  
Voice Dialogue ◽  
The Internet Of Things

Purpose of research.  The aim of the study is the use of cognitive technologies for the formation of speech dialogue management models. At present, for the development of the Internet of things, the expansion of communicative opportunities for their interaction, it is important to improve speech dialogue management models in many areas. The need for dialogue can arise between cyber-physical systems, between a person and cyber-physical systems, between users, developers, and administrators. The speech dialogue management models covers many issues related to processing a speech signal, semantic analysis, understanding the meaning of speech, using cognitive mechanisms for interaction, and some others. A special place among them is occupied by the problem of building a speech dialogue between users, developers, and cyberphysical systems. This article is devoted to the consideration of the use of speech dialogue management models of intelligent systems, as well as users, developers, administrators.Materials and methods of research.  New approaches and methods are required to solve the problems within the framework of the Industry 4.0. The industry 4.0 concept represents a variety of technologies, including the creation of cyber-physical systems, a variety of different protocols for their interaction. One of its main directions is the Internet of things. Cognitive mechanisms associated with the formation and application of concrete sensory images, concepts-representations, concepts-frames are used to solve the problems of model formation. To form the abilities and speech skills for the communicative activities of the participants of the interaction within the framework of the Industry 4.0 concept, the methods associated with mastering foreign language technologies were used. The ultimate goal of their use is to achieve the ability to master spontaneous speech in both everyday and professional situations. Mastering a foreign language involves the use of cognitive technologies, which allows you to develop the structure of mental operations.Results.  Some features of the formation of a voice dialogue management model for intelligent systems and the preparation of interaction participants in the framework of the concept — users, developers, and industrial system administrators  –  are considered. The application of cognitive mechanisms for organizing and using the model of speech dialogue management is shown. The use of conceptual representations and scripting concepts in intelligent systems allows us to develop the structure of the world model. The application of cognitive mechanisms for training interaction participants, within the framework of the Industry 4.0 concept, improves their training by improving understanding of the material being studied by building logical connections and a mental model of the material. Using concepts allows you to build mental models of your own thoughts. At the end of all mental operations, participants in the interaction acquire the ability to form speech dialogue management models.Conclusion.  The use of cognitive technologies makes it possible, both for intelligent systems and for interaction participants, to use generalized static structures of concepts, situations, and dynamic structures for real and mental operations. The active use of such structures makes it possible to better understand the current situation and successfully formulate and use voice dialogue management models for solving problems arising during the development of the Industry 4.0 concept.

scholarly journals Smart Measuring Instruments for Cyber-Physical Systems

2016 ◽  
Vol 1 (1) ◽  
pp. 7-15
Author(s):  
Mykola Mykyychuk ◽  
◽  
Svyatoslav Yatsyshyn ◽  
Bohdan Stadnyk ◽  
Yaroslav Lutsyk
Keyword(s):  
Cyber Physical Systems ◽  
Measuring Instruments ◽  
Physical Systems

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.

Security of Cyber-Physical Systems: A Generalized Algorithm for Intrusion Detection and Determining Security Robustness of Cyber Physical Systems using Logical Truth Tables

2013 ◽  
Vol 9 ◽  
Author(s):  
Curtis G. Northcutt
Keyword(s):  
Intrusion Detection ◽  
Cyber Security ◽  
Logical Truth ◽  
Cyber Physical Systems ◽  
Security Model ◽  
Security Measures ◽  
Physical Systems ◽  
Multiple Signal ◽  
Security Attack ◽  
Truth Tables

The recent proliferation of embedded cyber components in modern physical systems [1] has generated a variety of new security risks which threaten not only cyberspace, but our physical environment as well. Whereas earlier security threats resided primarily in cyberspace, the increasing marriage of digital technology with mechanical systems in cyber-physical systems (CPS), suggests the need for more advanced generalized CPS security measures. To address this problem, in this paper we consider the first step toward an improved security model: detecting the security attack. Using logical truth tables, we have developed a generalized algorithm for intrusion detection in CPS for systems which can be defined over discrete set of valued states. Additionally, a robustness algorithm is given which determines the level of security of a discrete-valued CPS against varying combinations of multiple signal alterations. These algorithms, when coupled with encryption keys which disallow multiple signal alteration, provide for a generalized security methodology for both cyber-security and cyber-physical systems.

Sign in / Sign up

Export Citation Format

Share Document