Journal articles: 'Cyber-physical-social system'

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Murdoch, Olga, Michael J. O'Grady, and Gregory M. P. O'Hare. "A Cyber Sensor Model for Cyber-Physical-Social Systems." International Journal of Agricultural and Environmental Information Systems 12, no. 1 (January 2021): 80–94. http://dx.doi.org/10.4018/ijaeis.20210101.oa6.

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Engineering sustainable cyber-physical-social systems demand a transdisciplinary approach. Within an arbitrary domain, many systems, including those of the physical and cyber categories, may already be in-situ; however, heterogeneity permeates such systems, for example, differing protocols, data formats, among others. Heterogeneity is not a deliberate feature of an arbitrary system; rather, it is the cumulative result of pragmatic decisions that were made during design and is driven by many different factors, some of which may not be technological. Nonetheless, heterogeneity represents a critical obstacle for system designers as they seek to harness and integrate diverse system elements to deliver innovative services. This obstacle is acutely manifested in cyber-physical-social systems when collecting and fusing data for evidence-based decision-making; social and human-derived data exacerbate the problem. This paper proposes a programming model for fusing information sources in cyber-physical-social systems. The efficacy of the model is validated via a usability analysis.

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Scalco, Aleksandra, and Erika Palmer. "Social Systems Engineering for Achieving Cyber Physical‐Social System Multi‐Concern Assurance." INCOSE International Symposium 32, S2 (July 2022): 30–41. http://dx.doi.org/10.1002/iis2.12893.

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Ding, Kai, and Pingyu Jiang. "Incorporating social sensors, cyber-physical system nodes, and smart products for personalized production in a social manufacturing environment." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 232, no. 13 (June 25, 2017): 2323–38. http://dx.doi.org/10.1177/0954405417716728.

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As manufacturing industry heads toward the socialization and mass individualization, customer requirements have become personalized and dynamic. Socialized manufacturing resources spring up in different finer-grained market segments to provide various manufacturing services for customers. To facilitate the mass business collaboration, these resources and customers need to be cyber-physical-social interconnected. This article proposes a cyber-physical-social system for the personalized product production in a social manufacturing environment, which incorporates social sensors in the human end, cyber-physical system nodes in the machine end, and smart products in the product end for social interaction and distributed production control. The three-layer framework of cyber-physical-social system and three-stage interaction scenarios are discussed. The multi-role distributed production control mechanism is studied to enhance the agility, responsiveness, flexibility, and coordination capability of the cyber-physical-social system–enabled personalized product production system. Cyber-physical-social system leverages the global cyber-physical-social convergence and the local regional autonomy for the personalized product production. It is expected that this article will contribute to the research areas of industry 4.0-based manufacturing mode innovation and intelligent production process control.

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Liu, Chao, and Pingyu Jiang. "Social factory as a production node of social manufacturing." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233, no. 14 (April 3, 2019): 5144–60. http://dx.doi.org/10.1177/0954406219840680.

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Social factory is served as the production node of social manufacturing communities/network to make manufacturing factories shift to the internet-based ones. The social factory aims to deal with fast-changing production requirements, sharing and competing of product orders, flexible resource configuration, ubiquitous interconnections, and real-time production monitoring and control. To achieve these visions, an extended cyber-physical system-enabled social factory model is proposed by integrating current cyber-physical system with machining equipment, social sensors, and smart workpieces. Within the proposed social factory model, the system framework and runtime logic are presented, and some core concepts such as extended cyber-physical system node, social sensor, and smart workpiece are clarified. Based on that, the social factory model is implemented by developing diverse extended cyber-physical system nodes and then connecting them with humans to form a collaborative production network where humans can access and control the machines anywhere and anytime. To validate the proposed social factory framework, a flexible production line in our lab is regarded as an extended cyber-physical system-enabled social factory to demonstrate the decentralized production interaction and cooperation.

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Zeng, Jing, Laurence T. Yang, Man Lin, Zili Shao, and Dakai Zhu. "System-Level Design Optimization for Security-Critical Cyber-Physical-Social Systems." ACM Transactions on Embedded Computing Systems 16, no. 2 (April 14, 2017): 1–21. http://dx.doi.org/10.1145/2925991.

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Zeng, Jing, Laurence T. Yang, and Jianhua Ma. "A System-Level Modeling and Design for Cyber-Physical-Social Systems." ACM Transactions on Embedded Computing Systems 15, no. 2 (June 7, 2016): 1–26. http://dx.doi.org/10.1145/2834119.

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Hussain, Nazmul, Hai H. Wang, Christopher D. Buckingham, and Xiaoyuan Zhang. "Software Agent-Centric Semantic Social Network for Cyber-Physical Interaction and Collaboration." International Journal of Software Engineering and Knowledge Engineering 30, no. 06 (June 2020): 859–93. http://dx.doi.org/10.1142/s0218194020400100.

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Considerable research has recently focused on integrating cyber-physical systems in a social context. However, several challenges remain concerning appropriate methodologies, frameworks and techniques for supporting socio-cyber-physical collaboration. Existing systems do not recognize how cyber-physical resources can be socially connected so that they interact in collaborative decision-making like humans. Furthermore, the lack of semantic representations for heterogeneous cyber-social-collaborative networks limits integration, interoperability and knowledge discovery from their underlying data sources. Semantic Web ontology models can help to overcome this limitation by semantically describing and interconnecting cyber-physical objects and human participants in a social space. This research addresses the establishment of both cyber-physical and human relationships and their interactions within a social-collaborative network. We discuss how nonhuman resources can be represented as socially connected nodes and utilized by software agents. A software agent-centric Semantic Social-Collaborative Network (SSCN) is then presented that provides functionality to represent and manage cyber-physical resources in a social network. It is supported by an extended ontology model for semantically describing human and nonhuman resources and their social interactions. A software agent has been implemented to perform some actions on behalf of the nonhuman resources to achieve cyber-physical collaboration. It is demonstrated within a real-world decision support system, GRiST (www.egrist.org), used by mental-health services in the UK.

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Zeng, Jing, Laurence T. Yang, Man Lin, Huansheng Ning, and Jianhua Ma. "A survey: Cyber-physical-social systems and their system-level design methodology." Future Generation Computer Systems 105 (April 2020): 1028–42. http://dx.doi.org/10.1016/j.future.2016.06.034.

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Yilma, Bereket Abera, Yannick Naudet, and Hervé Panetto. "Towards a Personalisation Framework for Cyber-Physical-Social System (CPSS)." IFAC-PapersOnLine 54, no. 1 (2021): 243–48. http://dx.doi.org/10.1016/j.ifacol.2021.08.028.

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Yin, Dao, Xinguo Ming, and Xianyu Zhang. "Understanding Data-Driven Cyber-Physical-Social System (D-CPSS) Using a 7C Framework in Social Manufacturing Context." Sensors 20, no. 18 (September 17, 2020): 5319. http://dx.doi.org/10.3390/s20185319.

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The trend towards socialization, personalization and servitization in smart manufacturing has attracted the attention of researchers, practitioners and governments. Social manufacturing is a novel manufacturing paradigm responding to this trend. However, the current cyber–physical system (CPS) merges only cyber and physical space; social space is missing. A cyber–physical–social system (CPSS)-based smart manufacturing is in demand, which incorporates cyber space, physical space and social space. With the development of the Internet of Things and social networks, a large volume of data is generated. A data-driven view is necessary to link tri-space. However, there is a lack of systematical investigation on the integration of CPSS and the data-driven view in the context of social manufacturing. This article proposes a seven-layered framework for a data-driven CPSS (D-CPSS) along the data–information–knowledge–wisdom (DIKW) pyramid under a social manufacturing environment. The evolution, components, general model and framework of D-CPSS are illustrated. An illustrative example is provided to explain the proposed framework. Detailed discussion and future perspectives on implementation are also presented.

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Chen, Liudong, Ying Li, Yubing Chen, Nian Liu, Chenchen Li, and Hongyu Zhang. "Emergency resources scheduling in distribution system: From cyber-physical-social system perspective." Electric Power Systems Research 210 (September 2022): 108114. http://dx.doi.org/10.1016/j.epsr.2022.108114.

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Zhu, Peidong, Peng Xun, Yifan Hu, and Yinqiao Xiong. "Social Collective Attack Model and Procedures for Large-Scale Cyber-Physical Systems." Sensors 21, no. 3 (February 2, 2021): 991. http://dx.doi.org/10.3390/s21030991.

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A large-scale Cyber-Physical System (CPS) such as a smart grid usually provides service to a vast number of users as a public utility. Security is one of the most vital aspects in such critical infrastructures. The existing CPS security usually considers the attack from the information domain to the physical domain, such as injecting false data to damage sensing. Social Collective Attack on CPS (SCAC) is proposed as a new kind of attack that intrudes into the social domain and manipulates the collective behavior of social users to disrupt the physical subsystem. To provide a systematic description framework for such threats, we extend MITRE ATT&CK, the most used cyber adversary behavior modeling framework, to cover social, cyber, and physical domains. We discuss how the disinformation may be constructed and eventually leads to physical system malfunction through the social-cyber-physical interfaces, and we analyze how the adversaries launch disinformation attacks to better manipulate collective behavior. Finally, simulation analysis of SCAC in a smart grid is provided to demonstrate the possibility of such an attack.

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Chen, Liang, and Kangting Zhao. "An Approach for Chart Description Generation in Cyber–Physical–Social System." Symmetry 13, no. 9 (August 24, 2021): 1552. http://dx.doi.org/10.3390/sym13091552.

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There is an increasing use of charts generated by the social interaction environment in manufacturing enterprise applications. To transform these massive amounts of unstructured chart data into decision support knowledge for demand-capability matching in manufacturing enterprises, we propose a manufacturing enterprise chart description generation (MECDG) method, which is a two-phase automated solution: (1) extracting chart data based on optical character recognition and deep learning method; (2) generating chart description according to user input based on natural language generation method and matching the description with extracted chart data. We verified and compared the processing at each phase of the method, and at the same time applied the method to the interactive platform of the manufacturing enterprise. The ultimate goal of this paper is to promote the knowledge extraction and scientific analysis of chart data in the context of manufacturing enterprises, so as to improve the analysis and decision-making capabilities of enterprises.

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Tang, Huaiyu, Jian Chen, Yuchen Zhou, and Liwei Chen. "A novel resource management scheme for virtualized cyber–physical–social system." Physical Communication 50 (February 2022): 101513. http://dx.doi.org/10.1016/j.phycom.2021.101513.

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Amin, Farhan, and Gyu Sang Choi. "Hotspots Analysis Using Cyber-Physical-Social System for a Smart City." IEEE Access 8 (2020): 122197–209. http://dx.doi.org/10.1109/access.2020.3003030.

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Li, Zongcheng. "Super-metauniverse with cyber life as center in integrating cyber nature and cyber society sky-earth computing (III) beyond cloud computing." ITM Web of Conferences 45 (2022): 01067. http://dx.doi.org/10.1051/itmconf/20224501067.

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According to the analysis and design of this series of articles, with cyber life as the center, using big data platform, IOT, AI technology, and the super-metauniverse system engineering that we advocate to develop and implement, we integrate cyber natural system and cyber social system, and establish a super-metauniverse system (SMS) for the hyper cyber-world. cyber life system is a life system supported by IT and network technology, including cyber physiological system (CPS-2) and cyber psychological system (CPS-3); Cyber natural system is a natural system supported by IT and network technology, including cyber physical system (CPS-1); Cyber social system is a social system supported by IT and network technology, including cyber eventlogic system (CES). Therefore, it is necessary between the real ecosphere and the information ecosphere to organize and manage not only thousands of computers, mobile communication tools and robots thousands of computers, mobile communication tools and robots, but also thousands of people who use computers, mobile communication tools and robots, through the Internet of things, artificial intelligence technology, the bottom layer of big data computing platform, and the super-metauniverse system engineering proposed in this series of articles.

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Bao, Xuecai, Hao Liang, and Longzhe Han. "Transmission Optimization of Social and Physical Sensor Nodes via Collaborative Beamforming in Cyber-Physical-Social Systems." Sensors 18, no. 12 (December 6, 2018): 4300. http://dx.doi.org/10.3390/s18124300.

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The recently emerging cyber-physical-social system (CPSS) can enable efficient interactions between the social world and cyber-physical system (CPS). The wireless sensor network (WSN) with physical and social sensor nodes plays an important role in CPSS. The integration of the social sensors and physical sensors in CPSS provides an advantage for smart services in different application areas. However, the dynamics of social mobility for social sensors pose new challenges for implementing the coordination of transmission. Furthermore, the integration of social and physical sensors also faces the challenges in term of improving energy efficiency and increasing transmission range. To solve these problems, we integrate the model of social dynamics with collaborative beamforming (CB) technique to formulate the transmission optimization problem as a dynamic game. A novel transmission scheme based on reinforcement learning is proposed to solve the formulated problem. The corresponding implementation of the proposed transmission scheme in CPSS is presented by the design of message exchange processes. The extensive simulation results demonstrate that the proposed transmission scheme presents lower interference to noise ratio (INR) and better signal to noise ratio (SNR) performance in comparison with the existing schemes. The results also indicate that the proposed method has effective adaptation to the dynamic mobility of social sensor nodes in CPSS.

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Han, Jianpei, Nian Liu, and Chenghong Gu. "Optimization of transactive energy systems with demand response: A cyber‐physical‐social system perspective." Energy Conversion and Economics 3, no. 3 (June 2022): 142–55. http://dx.doi.org/10.1049/enc2.12058.

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Song, Meng, Yunfeng Cai, Ciwei Gao, Tao Chen, Yunting Yao, and Hao Ming. "Transactive energy in power distribution systems: Paving the path towards cyber-physical-social system." International Journal of Electrical Power & Energy Systems 142 (November 2022): 108289. http://dx.doi.org/10.1016/j.ijepes.2022.108289.

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Yilma, Bereket Abera, Hervé Panetto, and Yannick Naudet. "Systemic formalisation of Cyber-Physical-Social System (CPSS): A systematic literature review." Computers in Industry 129 (August 2021): 103458. http://dx.doi.org/10.1016/j.compind.2021.103458.

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Zhu, Yueqin, Yongjie Tan, Ruixin Li, and Xiong Luo. "Cyber-physical-social-thinking modeling and computing for geological information service system." International Journal of Distributed Sensor Networks 12, no. 11 (November 2016): 155014771666666. http://dx.doi.org/10.1177/1550147716666666.

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Mirkouei, Amin. "A Cyber-Physical Analyzer System for Precision Agriculture." Environmental Science Current Research 3, no. 1 (April 3, 2020): 1–8. http://dx.doi.org/10.24966/escr-5020/100016.

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This study discusses the deficiencies in transforming current farming to the next generation and precision agriculture, which applies the concept of Industry 4.0 to promote agriculture production sustainability through the use of advanced cyber systems and intelligent mechanical inventions. Precision agriculture’s goal is to increase the intelligence in the production of the crop, using real-time sensing, control and optimization for enhancing soil-crop health, as well as advanced cyber-enabled tools for automation and efficiency. Integrated analysis of agricultural and soil ecosystems is in nascent stages, but growing steadily with improvements in sensing technologies, interoperability standards and data-influenced decision making. This study aims to develop an adaptive Sensor-Drone-Satellite (SeDS) system for promoting farming operations and sustainability via balancing often-conflicting objectives (e.g. cost environmental and social). This integrated analyzer system is a conceptual test bed built on a cyber-physical interface

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Babkin, A. V., E. V. Shkarupeta, and V. A. Plotnikov. "Intersectoral development potential management under industry 5.0: Theory, tools and practical applications." Economic Revival of Russia, no. 2 (72) (2022): 50–65. http://dx.doi.org/10.37930/1990-9780-2022-2-72-50-65.

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The main provisions, proposed tools and practical recommendations for managing the intersectoral potential for industrial development under Industry 5.0 are outlined in the article. The research methodology includes a systematic approach to the formation and management of the cyber-physical-social system with an emphasis on the cross-industry nature, the interdisciplinarity of the foundation and the transdisciplinarity of Industry 5.0; value, cyber-socio-techno-cognitive, human-centric and socio-centric approaches; platform interest. Choice evolution of industries and their objects (physical systems of Industry 1.0 - 3.0, cyber-physical system of Industry 4.0, cyber-physical-social system of Industry 5.0). The article provides a description of various factors, further analysis of which allows us to state that Industry 4.0 is not the basis for achieving higher development goals expected by 2030. The capabilities of the main characteristics, goals and opportunities of Industry 4.0 and Industry 5.0 are compared. It is concluded that Industry 5.0 does not equally represent the next industrial revolution, how many attendants join Industry 4.0 technologies strengthening cooperation between humans and robots. Technologies, possible tools and practical applications of Industry 5.0 are systematized. Priority measures aimed at preparing for Industry 5.0 implementation in a natural ecosystem, scientific and technological development based on proactive import substitution are proposed.

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Yeboah-Ofori, Abel, Cameron Swart, Francisca Afua Opoku-Boateng, and Shareeful Islam. "Cyber resilience in supply chain system security using machine learning for threat predictions." Continuity & Resilience Review 4, no. 1 (February 9, 2022): 1–36. http://dx.doi.org/10.1108/crr-10-2021-0034.

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PurposeCyber resilience in cyber supply chain (CSC) systems security has become inevitable as attacks, risks and vulnerabilities increase in real-time critical infrastructure systems with little time for system failures. Cyber resilience approaches ensure the ability of a supply chain system to prepare, absorb, recover and adapt to adverse effects in the complex CPS environment. However, threats within the CSC context can pose a severe disruption to the overall business continuity. The paper aims to use machine learning (ML) techniques to predict threats on cyber supply chain systems, improve cyber resilience that focuses on critical assets and reduce the attack surface.Design/methodology/approachThe approach follows two main cyber resilience design principles that focus on common critical assets and reduce the attack surface for this purpose. ML techniques are applied to various classification algorithms to learn a dataset for performance accuracies and threats predictions based on the CSC resilience design principles. The critical assets include Cyber Digital, Cyber Physical and physical elements. We consider Logistic Regression, Decision Tree, Naïve Bayes and Random Forest classification algorithms in a Majority Voting to predicate the results. Finally, we mapped the threats with known attacks for inferences to improve resilience on the critical assets.FindingsThe paper contributes to CSC system resilience based on the understanding and prediction of the threats. The result shows a 70% performance accuracy for the threat prediction with cyber resilience design principles that focus on critical assets and controls and reduce the threat.Research limitations/implicationsTherefore, there is a need to understand and predicate the threat so that appropriate control actions can ensure system resilience. However, due to the invincibility and dynamic nature of cyber attacks, there are limited controls and attributions. This poses serious implications for cyber supply chain systems and its cascading impacts.Practical implicationsML techniques are used on a dataset to analyse and predict the threats based on the CSC resilience design principles.Social implicationsThere are no social implications rather it has serious implications for organizations and third-party vendors.Originality/valueThe originality of the paper lies in the fact that cyber resilience design principles that focus on common critical assets are used including Cyber Digital, Cyber Physical and physical elements to determine the attack surface. ML techniques are applied to various classification algorithms to learn a dataset for performance accuracies and threats predictions based on the CSC resilience design principles to reduce the attack surface for this purpose.

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Mirza, Irfan Baig, Dimitrios Georgakopoulos, and Ali Yavari. "Cyber-Physical-Social Awareness Platform for Comprehensive Situation Awareness." Sensors 23, no. 2 (January 10, 2023): 822. http://dx.doi.org/10.3390/s23020822.

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Cyber-physical-social computing system integrates the interactions between cyber, physical, and social spaces by fusing information from these spaces. The result of this fusion can be used to drive many applications in areas such as intelligent transportation, smart cities, and healthcare. Situation Awareness was initially used in military services to provide knowledge of what is happening in a combat zone but has been used in many other areas such as disaster mitigation. Various applications have been developed to provide situation awareness using either IoT sensors or social media information spaces and, more recently, using both IoT sensors and social media information spaces. The information from these spaces is heterogeneous and, at their intersection, is sparse. In this paper, we propose a highly scalable, novel Cyber-physical-social Awareness (CPSA) platform that provides situation awareness by using and intersecting information from both IoT sensors and social media. By combining and fusing information from both social media and IoT sensors, the CPSA platform provides more comprehensive and accurate situation awareness than any other existing solutions that rely only on data from social media and IoT sensors. The CPSA platform achieves that by semantically describing and integrating the information extracted from sensors and social media spaces and intersects this information for enriching situation awareness. The CPSA platform uses user-provided situation models to refine and intersect cyber, physical, and social information. The CPSA platform analyses social media and IoT data using pretrained machine learning models deployed in the cloud, and provides coordination between information sources and fault tolerance. The paper describes the implementation and evaluation of the CPSA platform. The evaluation of the CPSA platform is measured in terms of capabilities such as the ability to semantically describe and integrate heterogenous information, fault tolerance, and time constraints such as processing time and throughput when performing real-world experiments. The evaluation shows that the CPSA platform can reliably process and intersect with large volumes of IoT sensor and social media data to provide enhanced situation awareness.

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Zhang, Zhaoyang, Honggang Wang, Chonggang Wang, and Hua Fang. "Interference Mitigation for Cyber-Physical Wireless Body Area Network System Using Social Networks." IEEE Transactions on Emerging Topics in Computing 1, no. 1 (June 2013): 121–32. http://dx.doi.org/10.1109/tetc.2013.2274430.

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Xue, Yusheng, and Xinghuo Yu. "Beyond smart grid—cyber–physical–social system in energy future [point of view]." Proceedings of the IEEE 105, no. 12 (December 2017): 2290–92. http://dx.doi.org/10.1109/jproc.2017.2768698.

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Tan, Liang, Na Shi, Caixia Yang, and Keping Yu. "A Blockchain-Based Access Control Framework for Cyber-Physical-Social System Big Data." IEEE Access 8 (2020): 77215–26. http://dx.doi.org/10.1109/access.2020.2988951.

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Oliveira, João, Gonçalo Carvalho, Bruno Cabral, and Jorge Bernardino. "Failure Mode and Effect Analysis for Cyber-Physical Systems." Future Internet 12, no. 11 (November 20, 2020): 205. http://dx.doi.org/10.3390/fi12110205.

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Cyber-Physical Systems (CPS) are a prominent component of the modern digital transformation, which combines the dynamics of the physical processes with those of software and networks. Critical infrastructures have built-in CPS, and assessing its risk is crucial to avoid significant losses, both economic and social. As CPS are increasingly attached to the world’s main industries, these systems’ criticality depends not only on software efficiency and availability but also on cyber-security awareness. Given this, and because Failure Mode and Effect Analysis (FMEA) is one of the most effective methods to assess critical infrastructures’ risk, in this paper, we show how this method performs in the analysis of CPS threats, also exposing the main drawbacks concerning CPS risk assessment. We first propose a risk prevention analysis to the Communications-Based Train Control (CBTC) system, which involves exploiting cyber vulnerabilities, and we introduce a novel approach to the failure modes’ Risk Priority Number (RPN) estimation. We also propose how to adapt the FMEA method to the requirement of CPS risk evaluation. We applied the proposed procedure to the CBTC system use case since it is a CPS with a substantial cyber component and network data transfer.

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Jiang, Jielin, Xing Zhang, and Shengjun Li. "A Task Offloading Method with Edge for 5G-Envisioned Cyber-Physical-Social Systems." Security and Communication Networks 2020 (August 7, 2020): 1–9. http://dx.doi.org/10.1155/2020/8867094.

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Recently, Cyber-Physical-Social Systems (CPSS) have been introduced as a new information physics system, which enables personnel organizations to control physical entities in a reliable, real-time, secure, and collaborative manner through cyberspace. Moreover, with the maturity of edge computing technology, the data generated by physical entities in CPSS are usually sent to edge computing nodes for effective processing. Nevertheless, it remains a challenge to ensure that edge nodes maintain load balance while minimizing the completion time in the event of the edge node outage. Given these problems, a Unique Task Offloading Method (UTOM) for CPSS is designed in this paper. Technically, the system model is constructed firstly and then a multi-objective problem is defined. Afterward, Improving the Strength Pareto Evolutionary Algorithm (SPEA2) is utilized to generate the feasible solutions of the above problem, whose aims are optimizing the propagation time and achieving load balance. Furthermore, the normalization method has been leveraged to produce standard data and select the global optimal solution. Finally, several necessary experiments of UTOM are introduced in detail.

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Ashari, Ilham Firman. "Implementation of Cyber-Physical-Social System Based on Service Oriented Architecture in Smart Tourism." Journal of Applied Informatics and Computing 4, no. 1 (June 23, 2020): 66–73. http://dx.doi.org/10.30871/jaic.v4i1.2077.

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One of the biggest attractions in the tourism industry in Bandung is nature tourism. There is still such a constraint related to get information about nature tourism in Bandung because new attractions in Bandung always appear every year. This is felt particularly for foreign tourists outside of Bandung. Tourists are still confused to find new and popular tourist attractions, which are places that are worth visiting or not. By implementing Cyber-Physical-Social System (CPSS) with a new approach that is emphasized on social aspect in smart tourism based on Service Oriented Architecture (SOA) as methodology can influence other travelers to visit tourist attractions in Bandung. The main results are tourists will get information such as location, route, images, rating, captions of tourist attractions, and the most important thing is to be able to exchange information with others. Smart tourism is more flexible because it is web based and does not depend on the operating system used, does not require database storage, does not take up storage space, and is free. Tourists can access smart tourism anytime and anywhere.

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Ito, Takayuki, Takanobu Otsuka, Satoshi Kawase, Akihisa Sengoku, Shun Shiramatsu, Takanori Ito, Eizo Hideshima, et al. "Experimental results on large-scale cyber-physical hybrid discussion support." International Journal of Crowd Science 1, no. 1 (March 6, 2017): 26–38. http://dx.doi.org/10.1108/ijcs-01-2017-0003.

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Purpose This paper aims to present a preliminary experimental result on a large-scale experiment on a cyber-physical hybrid discussion support environment in a panel discussion session in an international conference. Design/methodology/approach In this paper, the authors propose a hybrid (cyber-physical) environment in which people can discuss online and also offline simultaneously. The authors conducted a large-scale experiment in a panel discussion session in an international conference where participants can discuss by using their online discussion support system and by physical communications as usual. Findings The authors analyzed the obtained date from the following three viewpoints: participants’ cyber-physical attention, keywords cyber-physical linkage and cyber-physical discussion flow. These three viewpoints indicate that the methodology of the authors can be effective to support hybrid large-scale discussions. Originality/value Online large-scale discussion has been focused as a new methodology that enable people to discuss, argue and make consensus in terms of political issues, social complex problems (like climate change), city planning and so on. In several cases, the authors found that online discussions are very effective to gather people opinions and discussions so far. Moreover, this paper proposes a hybrid (cyber-physical) environment in which people can discuss online and also offline simultaneously.

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Konstantopoulos, George C., Antonio T. Alexandridis, and Panos C. Papageorgiou. "Towards the Integration of Modern Power Systems into a Cyber–Physical Framework." Energies 13, no. 9 (May 1, 2020): 2169. http://dx.doi.org/10.3390/en13092169.

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The cyber–physical system (CPS) architecture provides a novel framework for analyzing and expanding research and innovation results that are essential in managing, controlling and operating complex, large scale, industrial systems under a holistic insight. Power systems constitute such characteristically large industrial structures. The main challenge in deploying a power system as a CPS lies on how to combine and incorporate multi-disciplinary, core, and advanced technologies into the specific for this case, social, environmental, economic and engineering aspects. In order to substantially contribute towards this target, in this paper, a specific CPS scheme that clearly describes how a dedicated cyber layer is deployed to manage and interact with comprehensive multiple physical layers, like those found in a large-scale modern power system architecture, is proposed. In particular, the measurement, communication, computation, control mechanisms, and tools installed at different hierarchical frames that are required to consider and modulate the social/environmental necessities, as well as the electricity market management, the regulation of the electric grid, and the power injection/absorption of the controlled main devices and distributed energy resources, are all incorporated in a common CPS framework. Furthermore, a methodology for investigating and analyzing the dynamics of different levels of the CPS architecture (including physical devices, electricity and communication networks to market, and environmental and social mechanisms) is provided together with the necessary modelling tools and assumptions made in order to close the loop between the physical and the cyber layers. An example of a real-world industrial micro-grid that describes the main aspects of the proposed CPS-based design for modern electricity grids is also presented at the end of the paper to further explain and visualize the proposed framework.

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Levshun, Dmitry, Diana Gaifulina, Andrey Chechulin, and Igor Kotenko. "Problematic Issues of Information Security of Cyber-Physical Systems." Informatics and Automation 19, no. 5 (October 13, 2020): 1050–88. http://dx.doi.org/10.15622/ia.2020.19.5.6.

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This paper is an analysis and systematization of modern research in the field of cyber-physical system information security. The problematic issues of information security of such systems are considered: «what is being attacked?», «who is attacking?», «why is someone attacking?», «how is someone attacking?» and «how to protect the system?». As an answer to the first question, the paper proposes a definition and classification of cyber-physical systems according to such criteria as complexity, connectivity, criticality and social aspect. As an answer to the second and the third questions, the paper describes a classification of attacker according to such criteria as type of access, method of access, intentions, knowledge and resources. As an answer to the fourth question, the paper contains a classification of attack actions according to such criteria as subject and object, method of influence, prerequisites and consequences. As an answer to the fifth question, the paper proposes a classification of protection methods and security tools according to such criteria as principle of operation, object of protection and task to be solved. The scientific significance of the paper is systematization of a current state of the art in the subject area. The practical value of the paper is providing information about security issues that are specific to cyber-physical systems, which will allow one to develop, manage and use such systems in a more secure way.

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Rajamäki, Jyri, and Rauno Pirinen. "Design science research towards resilient cyber-physical eHealth systems." Finnish Journal of eHealth and eWelfare 9, no. 2-3 (May 21, 2017): 203. http://dx.doi.org/10.23996/fjhw.61000.

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Most eHealth systems are cyber-physical systems (CPSs) making safety-critical decisions based on information from other systems not known during development. In this design science research, a conceptual resilience governance framework for eHealth CPSs is built utilizing 1) cybersecurity initiatives, standards and frameworks, 2) science of design for software-intensive systems and 3) empowering cyber trust and resilience. According to our study, a resilient CPS consists of two sub-systems: the proper resilient system and the situational awareness system. In a system of CPSs, three networks are composed: platform, software and social network. The resilient platform network is the basis on which information sharing between stakeholders could be created via software layers. However, the trust inside social networks quantifies the pieces of information that will be shared - and with whom. From citizens’ point of view, eHealth is wholeness in which requirements of information security hold true. Present procedures emphasize confidentiality at the expense of integrity and availability, and regulations/instructions are used as an excuse not to change even vital information. The mental-picture of cybersecurity should turn from “threat, crime, attack” to “trust” and “resilience”. Creating confidence in safe digital future is truly needed in the integration of the digital and physical world’s leading to a new digital revolution. The precondition for the exchange of information “trust” must be systematically built at every CPS’ level. In health sector, increasingly interconnected social, technical and economic networks create large complex CPSs, and risk assessment of many individual components becomes cost and time prohibitive. When no-one can control all aspects of CPSs, protection-based risk management is not enough to help prepare for and prevent consequences of foreseeable events, but resilience must be built into systems to help them quickly recover and adapt when adverse events do occur.

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Moro, Thiago Carreta, Fabio Roberto Chavarette, Roberto Outa, Igor Feliciano Merizio, and Estevão Fuzaro Almeida. "Detection, Location and Quantification of Structural Faults in a Two-Story Building Using the Artificial Immunological System." Journal of Advances in Applied & Computational Mathematics 9 (May 24, 2022): 49–61. http://dx.doi.org/10.15377/2409-5761.2022.09.4.

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Large buildings and skyscrapers are vulnerable to environmental, temporal, and anthropological stresses, generating wear and tear that can lead to this social and economic impediment's collapse. The technological improvements of the fourth industrial revolution have resulted in changes in the connection between physical space and man, known as the cyber physic model, which necessitates monitoring systems to protect the structural branch and so correct this structural vulnerability. Thus, the structural health monitoring system is the exact measure of the evolution required by the cyber physic model in construction and the protection of the monumental buildings, ensuring not only their economic development but also the safety of society. Therefore, this research work presents the innovative proposal of the cyber-physical structural health monitoring system aimed at buildings and skyscrapers, based on and differentiated by intelligent computing techniques, using the negative selection algorithm to perform the analysis and monitoring of structural integrity, overcoming the existing traditional work. The cyber-physical structural health monitoring system will be applied to experimental data obtained from the shear building model that represents these imposing skyscrapers. An artificial immune system will be developed and used in the decision-making process based on the acquisition and processing of the obtained signals to perform the identification, localization, and quantification of possible structural damage. Observing the results, this work proved to be efficient, robust, and economically feasible, having high performance and overcoming the shortcomings of traditional techniques. It represents the perfect measure of cyber physics in the monitoring of large buildings and skyscrapers.

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Ahmad, Md Onais, Mohd Abdul Ahad, M. Afshar Alam, Farheen Siddiqui, and Gabriella Casalino. "Cyber-Physical Systems and Smart Cities in India: Opportunities, Issues, and Challenges." Sensors 21, no. 22 (November 19, 2021): 7714. http://dx.doi.org/10.3390/s21227714.

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A large section of the population around the globe is migrating towards urban settlements. Nations are working toward smart city projects to provide a better wellbeing for the inhabitants. Cyber-physical systems are at the core of the smart city setups. They are used in almost every system component within a smart city ecosystem. This paper attempts to discuss the key components and issues involved in transforming conventional cities into smart cities with a special focus on cyber-physical systems in the Indian context. The paper primarily focuses on the infrastructural facilities and technical knowhow to smartly convert classical cities that were built haphazardly due to overpopulation and ill planning into smart cities. It further discusses cyber-physical systems as a core component of smart city setups, highlighting the related security issues. The opportunities for businesses, governments, inhabitants, and other stakeholders in a smart city ecosystem in the Indian context are also discussed. Finally, it highlights the issues and challenges concerning technical, financial, and other social and infrastructural bottlenecks in the way of realizing smart city concepts along with future research directions.

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Gao, Zhijun, Zhenyu Liu, and Jingmin An. "Cyber-Physical-Social Model for Service Recommendation in the Internet of Things." Mathematical Problems in Engineering 2022 (May 10, 2022): 1–13. http://dx.doi.org/10.1155/2022/9523984.

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The services in the Internet of Things (IoT) are the key components to realize the value of IoT. The entity-oriented services are discovered from data. However, a large number of heterogeneous data and entities in IoT increase the difficulty of service development. For this, we propose a cyber-physical-social model to recommend services in IoT. The model consists of four layers: in the physical layer, the individual behavior pattern is defined. The system layer is responsible for handling interaction data to solve the heterogeneous data problem. The cyber layer is the agent layer, where we use the defined agents to establish service logic, shielding the entity heterogeneous problem. In the social layer, we explore the behavior similarity between individual users, achieving entity interaction in different scenes. In experiments, we obtain the data from 5 scenes, and the data is used for 6 experiments. In terms of accuracy and response time, our model has outstanding advantages compared with the previous methods.

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Puliafito, Antonio, Giuseppe Tricomi, Anastasios Zafeiropoulos, and Symeon Papavassiliou. "Smart Cities of the Future as Cyber Physical Systems: Challenges and Enabling Technologies." Sensors 21, no. 10 (May 12, 2021): 3349. http://dx.doi.org/10.3390/s21103349.

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A smart city represents an improvement of today’s cities, both functionally and structurally, that strategically utilizes several smart factors, capitalizing on Information and Communications Technology (ICT) to increase the city’s sustainable growth and strengthen the city’s functions, while ensuring the citizens’ enhanced quality of life and health. Cities can be viewed as a microcosm of interconnected “objects” with which citizens interact daily, which represents an extremely interesting example of a cyber physical system (CPS), where the continuous monitoring of a city’s status occurs through sensors and processors applied within the real-world infrastructure. Each object in a city can be both the collector and distributor of information regarding mobility, energy consumption, air pollution as well as potentially offering cultural and tourist information. As a consequence, the cyber and real worlds are strongly linked and interdependent in a smart city. New services can be deployed when needed, and evaluation mechanisms can be set up to assess the health and success of a smart city. In particular, the objectives of creating ICT-enabled smart city environments target (but are not limited to) improved city services; optimized decision-making; the creation of smart urban infrastructures; the orchestration of cyber and physical resources; addressing challenging urban issues, such as environmental pollution, transportation management, energy usage and public health; the optimization of the use and benefits of next generation (5G and beyond) communication; the capitalization of social networks and their analysis; support for tactile internet applications; and the inspiration of urban citizens to improve their quality of life. However, the large scale deployment of cyber-physical-social systems faces a series of challenges and issues (e.g., energy efficiency requirements, architecture, protocol stack design, implementation, and security), which requires more smart sensing and computing methods as well as advanced networking and communications technologies to provide more pervasive cyber-physical-social services. In this paper, we discuss the challenges, the state-of-the-art, and the solutions to a set of currently unresolved key questions related to CPSs and smart cities.

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Hu, Jinqiu, Shaohua Dong, Laibin Zhang, Yiyue Chen, and Kangkai Xu. "Cyber–physical–social hazard analysis for LNG port terminal system based on interdependent network theory." Safety Science 137 (May 2021): 105180. http://dx.doi.org/10.1016/j.ssci.2021.105180.

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Yang, Xinxin, Bin Cai, and Yusheng Xue. "Review on Optimization of Nuclear Power Development: A Cyber-Physical-Social System in Energy Perspective." Journal of Modern Power Systems and Clean Energy 10, no. 3 (2022): 547–61. http://dx.doi.org/10.35833/mpce.2021.000272.

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Zhang, Xiaoshun, Tao Yu, Zhao Xu, and Zhun Fan. "A cyber-physical-social system with parallel learning for distributed energy management of a microgrid." Energy 165 (December 2018): 205–21. http://dx.doi.org/10.1016/j.energy.2018.09.069.

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Leng, Jiewu, Pingyu Jiang, Chao Liu, and Chuang Wang. "Contextual self-organizing of manufacturing process for mass individualization: a cyber-physical-social system approach." Enterprise Information Systems 14, no. 8 (May 2, 2018): 1124–49. http://dx.doi.org/10.1080/17517575.2018.1470259.

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Zavyalova, Yulia V., Dmitry G. Korzun, Alexander Yu Meigal, and Alexander V. Borodin. "Towards the Development of Smart Spaces-Based Socio-Cyber-Medicine Systems." International Journal of Embedded and Real-Time Communication Systems 8, no. 1 (January 2017): 45–63. http://dx.doi.org/10.4018/ijertcs.2017010104.

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The concept of Cyber-Medicine System (CMS) is applied to research and development of medical information systems where the Internet is used to integrate medical devices and healthcare services into the system and to connect patients and medical professionals. In this paper, the authors generalize the concept to Socio-CMS, where the social world is added to the fusion of physical and cyber worlds. The social world affects the end-user activity and provides opportunities for collaborative work. A semantic layer is introduced to integrate all system and domain objects from the three digitalized worlds into a smart space: multi-source data, ongoing processes, situation attributes, reasoning rules, and human activity. All objects are dynamically related, leading to such a knowledge-rich structure as a semantic network. Data mining and analytics apply semantic algorithms for this network, including the Big Data case. The derived knowledge feeds construction of advanced healthcare services for supporting medical professionals and for assisting patients.

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Choi, Jong M., Hoon Ko, Marek R. Ogiela, and Goreti Marreiros. "Advance in Safe and Useful Social Network Services with Context-Sensitive Data in Cyber-Physical System." International Journal of Distributed Sensor Networks 10, no. 6 (January 2014): 589276. http://dx.doi.org/10.1155/2014/589276.

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Dehghani, Moslem, Mohammad Ghiasi, Taher Niknam, Abdollah Kavousi-Fard, Mokhtar Shasadeghi, Noradin Ghadimi, and Farhad Taghizadeh-Hesary. "Blockchain-Based Securing of Data Exchange in a Power Transmission System Considering Congestion Management and Social Welfare." Sustainability 13, no. 1 (December 23, 2020): 90. http://dx.doi.org/10.3390/su13010090.

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Using blockchain technology as one of the new methods to enhance the cyber and physical security of power systems has grown in importance over the past few years. Blockchain can also be used to improve social welfare and provide sustainable energy for consumers. In this article, the effect of distributed generation (DG) resources on the transmission power lines and consequently fixing its conjunction and reaching the optimal goals and policies of this issue to exploit these resources is investigated. In order to evaluate the system security level, a false data injection attack (FDIA) is launched on the information exchanged between independent system operation (ISO) and under-operating agents. The results are analyzed based on the cyber-attack, wherein the loss of network stability as well as economic losses to the operator would be the outcomes. It is demonstrated that cyber-attacks can cause the operation of distributed production resources to not be carried out correctly and the network conjunction will fall to a large extent; with the elimination of social welfare, the main goals and policies of an independent system operator as an upstream entity are not fulfilled. Besides, the contracts between independent system operators with distributed production resources are not properly closed. In order to stop malicious attacks, a secured policy architecture based on blockchain is developed to keep the security of the data exchanged between ISO and under-operating agents. The obtained results of the simulation confirm the effectiveness of using blockchain to enhance the social welfare for power system users. Besides, it is demonstrated that ISO can modify its polices and use the potential and benefits of distributed generation units to increase social welfare and reduce line density by concluding contracts in accordance with the production values given.

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Islam, Syed Osama Bin, and Waqas Akbar Lughmani. "A Connective Framework for Social Collaborative Robotic System." Machines 10, no. 11 (November 17, 2022): 1086. http://dx.doi.org/10.3390/machines10111086.

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Social intelligence in robotics appeared quite recently in the field of artificial intelligence (AI) and robotics. It is becoming increasingly evident that social and interaction skills are essentially required in any application where robots need to interact with humans. While the workspaces have transformed into fully shared spaces for performing collaborative tasks, human–robot collaboration (HRC) poses many challenges to the nature of interactions and social behavior among the collaborators. The complex dynamic environment coupled with uncertainty, anomaly, and threats raises questions about the safety and security of the cyber-physical production system (CPPS) in which HRC is involved. Interactions in the social sphere include both physical and psychological safety issues. In this work, we proposed a connective framework that can quickly respond to changing physical and psychological safety state of a CPPS. The first layer executes the production plan and monitors the changes through sensors. The second layer evaluates the situations in terms of their severity as anxiety by applying a quantification method that obtains support from a knowledge base. The third layer responds to the situations through the optimal allocation of resources. The fourth layer decides on the actions to mitigate the anxiety through the allocated resources suggested by the optimization layer. Experimental validation of the proposed method was performed on industrial case studies involving HRC. The results demonstrated that the proposed method improves the decision-making of a CPPS experiencing complex situations, ensures physical safety, and effectively enhances the productivity of the human–robot team by leveraging psychological comfort.

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Gong, Kai, Jianlin Yang, Xu Wang, Chuanwen Jiang, Zhan Xiong, Ming Zhang, Mingxing Guo, Ran Lv, Su Wang, and Shenxi Zhang. "Comprehensive review of modeling, structure, and integration techniques of smart buildings in the cyber-physical-social system." Frontiers in Energy 16, no. 1 (January 1, 2022): 74–94. http://dx.doi.org/10.1007/s11708-021-0792-6.

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Porkodi, V., A. Robert Singh, Abdul Rahaman Wahab Sait, K. Shankar, Eunmok Yang, Changho Seo, and Gyanendra Prasad Joshi. "Resource Provisioning for Cyber–Physical–Social System in Cloud-Fog-Edge Computing Using Optimal Flower Pollination Algorithm." IEEE Access 8 (2020): 105311–19. http://dx.doi.org/10.1109/access.2020.2999734.

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Xu, Linli, Jing Han, Tian Wang, and Lianfa Bai. "An Efficient CNN to Realize Speckle Correlation Imaging Based on Cloud-Edge for Cyber-Physical-Social-System." IEEE Access 8 (2020): 54154–63. http://dx.doi.org/10.1109/access.2020.2979786.

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Journal articles on the topic 'Cyber-physical-social system'

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