Relevant bibliographies by topics / Cyber-physical-social system

Academic literature on the topic 'Cyber-physical-social system'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "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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Dissertations / Theses on the topic "Cyber-physical-social system"

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Zhou, Yuchao. "Data-driven cyber-physical-social system for knowledge discovery in smart cities." Thesis, University of Surrey, 2018. http://epubs.surrey.ac.uk/845625/.

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Investigation of the state-of-the-art in Cyber-Physical-Social System (CPSS) reveals that significant work has been done in interpreting data from different sources in isolation, performing correlations for numerical observations across one or two domains, or to provide simple textual explanations from social networks content for analysed physical world data. Existing works also work with ideal sets or already cleaned data that does not provide the same real-world insight into working with big data in cities. Thus, there is a need for integrated solutions that address the complete data flow; from data acquisition to processing and knowledge representation. This thesis presents a data-centric framework for CPSS that contains management and processing capabilities for knowledge discovery from mobile sensing data and social networks content, by mainly addressing challenges from mobile sensing scenarios in CPSS, including: 1) interoperability issues caused by the vast amount of heterogeneous data sources; 2) thematic-spatial-temporal information retrieval of opportunistic mobile sensing; 3) incomplete datasets generated from noisy data sources of mobile sensing techniques; 4) different scales/types of data and information, which cannot be correlated directly. The contributions of the thesis include 1) a data retrieval method that addresses the issue of searching for both current and historical sensor measurement values from the heterogeneous data sources; 2) a novel spatio-temporal model for regression analysis that can perform missing data estimation in the incomplete datasets; 3) a knowledge discovery mechanism that merges and correlates physical and social sensing data, enabling links between different scales/types of data: numeric values of sensor observation data and textual content of social networks’ messages. The above contributions were evaluated through experimentation on real smart city datasets and data collected from the Twitter social network to prove their accuracy and reliability, as well as to show the applicability of the proposed approaches to existing smart cities.
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Anantharam, Pramod. "Knowledge-empowered Probabilistic Graphical Models for Physical-Cyber-Social Systems." Wright State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1464417646.

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Alam, Kazi Masudul. "Towards Cloud-based Vehicular Cyber-physical Systems." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/36227.

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We are living in the age of information technology, where we are fully occupied with the revolutionary innovations of the last few decades such as the Internet, mobile devices, wireless communications, social networks, wearables, cloud computing, etc. While these technologies have become integral part of our daily life, we are now anxiously waiting to embrace Internet-of-Things (IoT), intelligent digital assistants, driver-less cars, drone deliveries, virtual reality, and smart city applications. Recently, research community is demonstrating increasing interests about Cyber-Physical Systems (CPS) that resides in the cross-section of embedded systems, network communications, and scalable distributed infrastructures. The main responsibility of a CPS is to collect sensory data about the physical world and to inform the computation module using communication technologies that processes the data, identifies important insights and notifies back using a feedback loop. These notifications can however be control commands to reconfigure the physical world. Such a setup is a useful method to deploy smart city applications. In this dissertation, we keep our focus onto the smart transport objective using vehicular CPS (VCPS) based systems organization. We have compiled this dissertation with our research contributions in this growing field of VCPS. One of our key contributions in this field is an architecture reference model for the cloud-based CPS, C2PS, where we analytically describe the key properties of a CPS: computation, communication and control, while integrating cloud features to it. We have identified various types of computation and interaction modes of this paradigm as well as describe Bayesian network and fuzzy logic based smart connection to select a mode at any time. It is considered that the true adoption of CPS is only possible through the deployment of the IoT systems. Thus, it is important to have IoT as a foundation in the CPS architectures. Our next contribution is to leverage existing Vehicular Adhoc Network (VANET) technologies and map them with the standard IoT-Architecture reference model to design the VCPS, Social Internet-of-Vehicles (SIoV). In this process, we have identified the social structures and system interactions among the subsystems involved in the SIoV. We also present a message structure to facilitate different types of SIoV interactions. The ability of dynamic reconfiguration in a C2PS is very appealing. We capture this feature in the VCPS by designing a model-based reconfiguration scheme for the SIoV, where we measure the data workloads of distinct subsystems involved in various types of SIoV interactions. We further use these models to design dynamic adaptation schemes for the subsystems involved in VCPS interactions. Our final contribution is an application development platform based on C2PS design technique that uses server-client based system communications. In this platform, server side is built using JAVA, client side uses Android, message communication uses JSON and every component has its own MySQL database to store the interactions. We use this platform to emulate and deploy SIoV related applications and scenarios. Such a platform is necessary to continue C2PS related research and developments in the laboratory environment.
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Li, Yu. "Securing Modern Cyberspace Using A Multi-Faceted Approach." Wright State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1559662803668983.

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Stewart, Alexander. "The Community Defense Approach: A Human Approach to Cybersecurity for Industrial and Manufacturing Systems." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1562059795078067.

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Pimenta, Diogo Manuel Rebelo de Azevedo Seabra. "The Social Impact of the use of Cyber-Physical Systems in Manufacturing." Master's thesis, 2019. https://hdl.handle.net/10216/119480.

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Fournier-Gendron, Hugo. "Sécurité informationnelle des systèmes cyberphysiques et risques à la santé et sécurité : quelle responsabilité pour le fabricant ?" Thèse, 2017. http://hdl.handle.net/1866/21353.

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Books on the topic "Cyber-physical-social system"

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Kagaku Gijutsu Shinkō Kikō. Kenkyū Kaihatsu Senryaku Sentā. Denshi Jōhō Tsūshin Yunitto. CPS (Cyber Physical Systems) kiban gijutsu no kenkyū kaihatsu to sono shakai e no dōnyū ni kansuru teian: Kōreisha no shakai sanka sokushin o jirei to shite = Research and development on fundamental technologies of cyber physical systems and their social implementation : a case study on promoting aged people to social activities. Tōkyō-to Chiyoda-ku: Kagaku Gijutsu Shinkō Kikō Kenkyū Kaihatsu Senryaku Sentā Denshi Jōhō Tsūshin Yunitto, 2013.

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Dimitrova, Maya, and Hiroaki Wagatsuma. Cyber-Physical Systems for Social Applications. IGI Global, 2019.

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Dimitrova, Maya, and Hiroaki Wagatsuma. Cyber-Physical Systems for Social Applications. IGI Global, 2019.

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Cyber-Physical-Social Systems and Constructs in Electric Power Engineering. Institution of Engineering & Technology, 2016.

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Suryanarayanan, Siddharth Suryanarayanan, Robin Roche Roche, and Timothy M. Hansen Hansen, eds. Cyber-Physical-Social Systems and Constructs in Electric Power Engineering. Institution of Engineering and Technology, 2016. http://dx.doi.org/10.1049/pbpo081e.

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Cyber-Physical-Social Systems and Constructs in Electric Power Engineering. Institution of Engineering & Technology, 2016.

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DeNardis, Laura. The Internet in Everything. Yale University Press, 2020. http://dx.doi.org/10.12987/yale/9780300233070.001.0001.

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The Internet has leapt from human-facing display screens into the material objects all around us. In this so-called Internet of Things—connecting everything from cars to cardiac monitors to home appliances—there is no longer a meaningful distinction between physical and virtual worlds. Everything is connected. The social and economic benefits are tremendous, but there is a downside: an outage in cyberspace can result not only in a loss of communication but also potentially a loss of life. Control of this infrastructure has become a proxy for political power, since countries can easily reach across borders to disrupt real-world systems. This book argues that this diffusion of the Internet into the physical world radically escalates governance concerns around privacy, discrimination, human safety, democracy, and national security, and it offers new cyber-policy solutions. The book makes visible the sinews of power already embedded in our technology and explores how hidden technical governance arrangements will become the constitution of our future.
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Book chapters on the topic "Cyber-physical-social system"

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Zhuge, Hai. "Strategic Analysis: Evolution of Information System in Cyber-Physical-Social Space." In Cyber-Physical-Social Intelligence, 215–33. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-7311-4_8.

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Khang, Alex, Vladimir Hahanov, Gardashova Latafat Abbas, and Vugar Abdullayev Hajimahmud. "Cyber-Physical-Social System and İncident Management." In AI-Centric Smart City Ecosystems, 21–35. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003252542-2.

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Liu, Chao, and Pingyu Jiang. "RFID, Social Sensors and Extended Cyber-Physical System." In Springer Series in Advanced Manufacturing, 117–46. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72986-2_6.

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Nisiotis, Louis, Lyuba Alboul, and Martin Beer. "Virtual Museums as a New Type of Cyber-Physical-Social System." In Lecture Notes in Computer Science, 256–63. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25999-0_22.

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Raisa, Jasiya Fairiz, Sobhana Jahan, and M. Shamim Kaiser. "A Cyber-Physical Fusion System for Stress Detection Using Multimodal and Social Media Data." In Lecture Notes in Networks and Systems, 615–27. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2445-3_43.

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Berisha-Gawlowski, Angelina, Carina Caruso, and Christian Harteis. "The Concept of a Digital Twin and Its Potential for Learning Organizations." In Digital Transformation of Learning Organizations, 95–114. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-55878-9_6.

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AbstractThe digital transformation of organizations in the industrial sector is primarily driven by the opportunity to increase productivity while simultaneously reducing costs through integration into a cyber-physical system. One way to fully tap the potential of a cyber-physical system is the concept of the digital twin, i.e., the real-time digital representation of machines and resources involved – including human resources. The vision of representing humans by digital twins primarily aims at increasing economic benefits. The digital twin of a human, however, cannot be designed in a similar way to that of a machine. The human digital twin shall rather enable humans to act within the cyber-physical system. It therefore offers humans a power of control and the opportunity to provide feedback. The concept of the digital twin is still in its infancy and raises many questions in particular from an educational perspective. The contribution aims at answering the following questions and refers to the example of team learning: Which and how much data should and may the digital twin contain in order to support humans in their learning? To what extent will humans be able to control and design their own learning? How may skills, experiences, and social interactions of humans be represented in the digital twin; their growth and further development, respectively? With cyber-physical systems transcending corporate, national, and legal boundaries, what learning culture will be the frame of reference for the involved organizations?
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Yilma, Bereket Abera, Hervé Panetto, and Yannick Naudet. "A Meta-Model of Cyber-Physical-Social System: The CPSS Paradigm to Support Human-Machine Collaboration in Industry 4.0." In Collaborative Networks and Digital Transformation, 11–20. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28464-0_2.

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Lukszo, Zofia, and Samira Farahani. "A Comprehensive Engineering Approach to Shaping the Future Energy System." In Shaping an Inclusive Energy Transition, 245–58. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74586-8_11.

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AbstractThe urgency to significantly reduce the impacts of climate change is felt around the globe. By signing the Paris agreement in 2016, 195 governments have agreed on a long-term goal of keeping the increase in global average temperature below 2 °C above preindustrial levels and on aiming to limit the increase to 1.5 °C. To reach these goals, major technological, organizational, and social changes in different sectors and their services are needed. To understand and steer the transition from the current energy system towards a carbon-free energy system, we propose a comprehensive engineering framework that integrates different aspects, such as technical, economic, cyber-physical, social, institutional and political, that are needed in the design of such a complex system. We explain the importance of combining different disciplines to provide comprehensive models and tools in order to support and achieve a sustainable, affordable, reliable and inclusive energy transition.
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Reine, Regina, Filbert H. Juwono, Zee Ang Sim, and W. K. Wong. "Cyber-Physical-Social Systems: An Overview." In Smart Connected World, 25–45. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76387-9_2.

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Kovilpillai, J. Judeson Antony, and S. Jayanthy. "Parameter Analysis in a Cyber-Physical System." In Pervasive Computing and Social Networking, 361–71. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-5640-8_29.

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Conference papers on the topic "Cyber-physical-social system"

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Li, Qing, Zhixiong Fang, and Mengjin Qu. "Cyber-Physical-Social System (CPSS) Architecture Framework and Methodology." In 16th IFAC/IFIP International Workshop on Enterprise Integration, Interoperability and Networking. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0011559600003329.

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Ramadhan, Hilman, Dita Oktaria, and I. Gusti Bagus Baskara Nugraha. "Road traffic signal control using cyber physical social system." In 2017 International Conference on Information Technology Systems and Innovation (ICITSI). IEEE, 2017. http://dx.doi.org/10.1109/icitsi.2017.8267947.

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Gharib, Mohamad, Paolo Lollini, and Andrea Bondavalli. "Towards an approach for analyzing trust in Cyber-Physical-Social Systems." In 2017 12th System of Systems Engineering Conference (SoSE). IEEE, 2017. http://dx.doi.org/10.1109/sysose.2017.7994947.

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Chen, Kang, and Haiying Shen. "A social-based cyber-physical system for distributed message transmission." In SPIE Defense + Security, edited by Ivan Kadar. SPIE, 2014. http://dx.doi.org/10.1117/12.2050163.

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Wang, Eric Ke, Yunming Ye, Xiaofei Xu, S. M. Yiu, L. C. K. Hui, and K. P. Chow. "Security Issues and Challenges for Cyber Physical System." In Int'l Conference on Cyber, Physical and Social Computing (CPSCom). IEEE, 2010. http://dx.doi.org/10.1109/greencom-cpscom.2010.36.

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Zhang, Xi, Haifeng Wang, Youmin Hu, Xin Zhang, Fang Zhao, and Chenhui Wan. "Applying model-based system architecture process method for a human-robot digital twin system." In 2021 International Conference on Cyber-Physical Social Intelligence (ICCSI). IEEE, 2021. http://dx.doi.org/10.1109/iccsi53130.2021.9736210.

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Zhang, Xiaodan, Bin Duan, and Tao Li. "Cyber-Physical-Social Systems for Wind Power Operation and maintenance." In 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2019. http://dx.doi.org/10.1109/ei247390.2019.9061828.

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Yang, Xiaoou, Ahreum Lim, Aliki Nicolaides, and Beshoy Morkos. "Towards the Understanding of Nudging Strategies in Cyber-Physical-Social System In Manufacturing Environments." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-90863.

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Abstract The involvement of artificial intelligence in manufacturing settings has revolutionized the relationship between humans, computers, and workforce environments. The prior cyber-physical systems are developing rapidly due to advances in technology. However, human consideration has not advanced at the same rate. Only highlighting technology advancement is not sufficient, given the high interconnectivity between human-technology in Industry 4.0. Integrating the human factor in design and implementation of cyber-physical technology leads to the holistic development of cyber-physical-social systems (CPSS). Nonetheless, little is known regarding workers’ behavior and ethics that mainly pertain to the human factors of CPSSs. Also, little effort is given to seek a methodologically rigorous way to investigate human factors in CPSS. To fill the gap, this paper proposes a research framework that aims to explore the interaction between humans and AI agents in manufacturing setting. Incorporating human considerations properly can enhanced the development of an integrated cyber-physical-social system. The goal of the research methodology presented here is to fundamentally understand a common dimension in CPSS. The objective of the proposed study is to determine how nudging impacts user response on a manufacturing line, both in terms of manufacturing performance and human response. To do so, we introduced the concept of nudging, which can come in the form of audio, visual, and haptic, refers to signals sent by a cyber-physical device to humans to illicit a performance related response. The design of an experiment is discussed in this paper. Quantitative data (assembly time, quality, and assembly errors) and qualitative data (recorded video, pre-experiment questionnaire, and post-experiment interviews) will be used for analysis to determine if and how the types of nudging are observed in cyber-physical-social environments that we see today can impact human response. The results of this research methodology will help inform engineers how cyber physical systems should be implemented in manufacturing environments while considering the impact it has on the human.
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Somasundaram, Subbu, Pawan Khandavilli, and Srinivas Sampalli. "An Intelligent RFID System for Consumer Businesses." In Int'l Conference on Cyber, Physical and Social Computing (CPSCom). IEEE, 2010. http://dx.doi.org/10.1109/greencom-cpscom.2010.134.

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Zhang, Yanming, Chao Sun, Nenggan Zheng, Shaomin Zhang, Jiyan Lin, Weidong Chen, and Xiaoxiang Zheng. "An Automatic Control System for Ratbot Navigation." In Int'l Conference on Cyber, Physical and Social Computing (CPSCom). IEEE, 2010. http://dx.doi.org/10.1109/greencom-cpscom.2010.168.

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