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Journal articles on the topic 'Human-in-the-Loop Cyber-Physical System'

Author: Grafiati

Published: 4 September 2021

Last updated: 11 February 2022

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1

Sinche, Soraya, Pablo Hidalgo, José Fernandes, et al. "Analysis of Student Academic Performance Using Human-in-the-Loop Cyber-Physical Systems." Telecom 1, no. 1 (2020): 18–31. http://dx.doi.org/10.3390/telecom1010003.

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Is it possible to analyze student academic performance using Human-in-the-Loop Cyber-Physical Systems (HiLCPS) and offering personalized learning methodologies? Taking advantage of the Internet of Things (IoT) and mobile phone sensors, this article presents a system that can be used to adapt pedagogical methodologies and to improve academic performance. Thus, in this domain, the present work shows a system capable of analyzing student behavior and the correlation with their academic performance. Our system is composed of an IoT application named ISABELA and a set of open-source technologies pr

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2

Garcia, Manuel A. Ruiz, Rafael Rojas, Luca Gualtieri, Erwin Rauch, and Dominik Matt. "A human-in-the-loop cyber-physical system for collaborative assembly in smart manufacturing." Procedia CIRP 81 (2019): 600–605. http://dx.doi.org/10.1016/j.procir.2019.03.162.

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3

Ganesan, Anusha, Anand Paul, Ganesan Nagabushnam, and Malik Junaid Jami Gul. "Human-in-the-Loop Predictive Analytics Using Statistical Learning." Journal of Healthcare Engineering 2021 (July 29, 2021): 1–14. http://dx.doi.org/10.1155/2021/9955635.

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The human-in-the-loop cyber-physical system provides numerous solutions for the challenges faced by the doctors or medical practitioners. There is a linear trend of advancement and automation in the medical field for the early diagnosis of several diseases. One of the critical and challenging diseases in the medical field is coma. In the medical research field, currently, the prediction of these diseases is performed only using the data gathered from the devices only; however, the human’s input is much essential to accurately understand their health condition to take appropriate decision on ti

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4

de Mello, Ricardo C., Mario F. Jimenez, Moises R. N. Ribeiro, Rodrigo Laiola Guimarães, and Anselmo Frizera-Neto. "On Human-in-the-Loop CPS in Healthcare: A Cloud-Enabled Mobility Assistance Service." Robotica 37, no. 9 (2019): 1477–93. http://dx.doi.org/10.1017/s0263574719000079.

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SummaryDespite recent advancements on cloud-enabled and human-in-the-loop cyber-physical systems, there is still a lack of understanding of how infrastructure-related quality of service (QoS) issues affect user-perceived quality of experience (QoE). This work presents a pilot experiment over a cloud-enabled mobility assistive device providing a guidance service and investigates the relationship between QoS and QoE in such a system. In our pilot experiment, we employed the CloudWalker, a system linking smart walkers and cloud platforms, to physically interact with users. Different QoS condition

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5

Jeong, Sangsoo, Youngmi Baek, and Sang H. Son. "Component-Based Interactive Framework for Intelligent Transportation Cyber-Physical Systems." Sensors 20, no. 1 (2020): 264. http://dx.doi.org/10.3390/s20010264.

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While emerging technology for self-driving automation in vehicles progresses rapidly, the transition to an era of roads full of fully connected and automated vehicles (CAVs) may take longer than expected. Until then, it is inevitable that CAVs should coexist and interact with drivers of non-autonomous vehicles (NAVs) in urban roads. During this period of transition, it is critical to provide road safety with the mixed vehicular traffic and uncertainty caused by human drivers. To investigate the issues caused by the coexistence and interaction with humans, we propose to build a component-based

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6

Gay, Chris, Barry Horowitz, John Elshaw, Philip Bobko, and Inki Kim. "Operator Suspicion and Decision Responses to Cyber-Attacks on Unmanned Ground Vehicle Systems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (2017): 226–30. http://dx.doi.org/10.1177/1541931213601540.

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Cyber-attacks against cyber-physical systems (CPS), such as unmanned vehicles, are emergent threats with potentially catastrophic impacts, and this issue has drawn considerable interest by military agencies. Abundant body of research has attempted to address the physical security aspects of CPS; however, research addressing the human dimensions of cyber-attack detection and responses from an operator and operational perspective is sparse. This research has provided a novel probe into the human factors affecting operator resilience in responding to cyber-attacks, which are situations characteri

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7

Shintani, Hideyuki, Tomomi Aoyama, and Ichiro Koshijima. "Study on High Resilient Structures for IoT Systems to Detect Accidents." Journal of Disaster Research 12, no. 5 (2017): 1073–80. http://dx.doi.org/10.20965/jdr.2017.p1073.

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In order to operate the Internet of Things (IoT) or Cyber Physical Systems (CPS) in the real world, the system needs to be structured to have people in the real world incorporated as a part of its process: Human-in-the-Loop CPS (HITLCPS). With people in the real world incorporated as a part of its process, the system must have a secure structure to be able to continue operating normally. With sensors, actuators and other devices connected in a network, it becomes vulnerable to cyberattacks; hence, its framework must be resilient and secure in order to ensure its safety in the face of any distu

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8

Tan, Qingmeng, Yifei Tong, Shaofeng Wu, and Dongbo Li. "Anthropocentric Approach for Smart Assembly: Integration and Collaboration." Journal of Robotics 2019 (February 3, 2019): 1–8. http://dx.doi.org/10.1155/2019/3146782.

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Recently, anthropocentric or human-centric approaches renewed its importance in smart manufacturing especially for assembly applications where human dexterity and informal knowledge are dispensable at present and in the near future. This paper analyzes the integration, design, and collaboration issues regarding anthropocentric researches in the past few years mainly in assembly domain. First of all, towards closed-loop system integration, the researches on integrating human in the cyber-physical system are elaborated and summarized. Then, human-centric designs (HCD) especially in shop-floor as

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9

El-Haouzi, Hind Bril, Etienne Valette, Bettina-Johanna Krings, and António Brandão Moniz. "Social Dimensions in CPS & IoT Based Automated Production Systems." Societies 11, no. 3 (2021): 98. http://dx.doi.org/10.3390/soc11030098.

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Since the 1970s, the application of microprocessor in industrial machinery and the development of computer systems have transformed the manufacturing landscape. The rapid integration and automation of production systems have outpaced the development of suitable human design criteria, creating a deepening gap between humans and systems in which human was seen as an important source of errors and disruptions. Today, the situation seems different: the scientific and public debate about the concept of Industry 4.0 has raised awareness about the central role humans have to play in manufacturing sys

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10

Ruppert, Tamas, and Janos Abonyi. "Software Sensor for Activity-Time Monitoring and Fault Detection in Production Lines." Sensors 18, no. 7 (2018): 2346. http://dx.doi.org/10.3390/s18072346.

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Industry 4.0-based human-in-the-loop cyber-physical production systems are transforming the industrial workforce to accommodate the ever-increasing variability of production. Real-time operator support and performance monitoring require accurate information on the activities of operators. The problem with tracing hundreds of activity times is critical due to the enormous variability and complexity of products. To handle this problem a software-sensor-based activity-time and performance measurement system is proposed. To ensure a real-time connection between operator performance and varying pro

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11

Sowe, Sulayman K., Eric Simmon, Koji Zettsu, Frederic de Vaulx, and Irena Bojanova. "Cyber-Physical-Human Systems: Putting People in the Loop." IT Professional 18, no. 1 (2016): 10–13. http://dx.doi.org/10.1109/mitp.2016.14.

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12

Gil, Miriam, Manoli Albert, Joan Fons, and Vicente Pelechano. "Designing human-in-the-loop autonomous Cyber-Physical Systems." International Journal of Human-Computer Studies 130 (October 2019): 21–39. http://dx.doi.org/10.1016/j.ijhcs.2019.04.006.

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13

Zhou, Peng, Decheng Zuo, Kun Hou, et al. "A Comprehensive Technological Survey on the Dependable Self-Management CPS: From Self-Adaptive Architecture to Self-Management Strategies." Sensors 19, no. 5 (2019): 1033. http://dx.doi.org/10.3390/s19051033.

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Cyber Physical Systems (CPS) has been a popular research area in the last decade. The dependability of CPS is still a critical issue, and few surveys have been published in this domain. CPS is a dynamic complex system, which involves various multidisciplinary technologies. To avoid human errors and to simplify management, self-management CPS (SCPS) is a wise choice. To achieve dependable self-management, systematic solutions are necessary to verify the design and to guarantee the safety of self-adaptation decisions, as well as to maintain the health of SCPS. This survey first recalls the conce

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14

Schirner, Gunar, Deniz Erdogmus, Kaushik Chowdhury, and Taskin Padir. "The Future of Human-in-the-Loop Cyber-Physical Systems." Computer 46, no. 1 (2013): 36–45. http://dx.doi.org/10.1109/mc.2013.31.

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15

Gil, Miriam, Manoli Albert, Joan Fons, and Vicente Pelechano. "Engineering human-in-the-loop interactions in cyber-physical systems." Information and Software Technology 126 (October 2020): 106349. http://dx.doi.org/10.1016/j.infsof.2020.106349.

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16

Jirgl, M., Z. Bradac, and P. Fiedler. "Human-in-the-Loop Issue in Context of the Cyber-Physical Systems." IFAC-PapersOnLine 51, no. 6 (2018): 225–30. http://dx.doi.org/10.1016/j.ifacol.2018.07.158.

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17

Emmanouilidis, Christos, Petros Pistofidis, Luka Bertoncelj, et al. "Enabling the human in the loop: Linked data and knowledge in industrial cyber-physical systems." Annual Reviews in Control 47 (2019): 249–65. http://dx.doi.org/10.1016/j.arcontrol.2019.03.004.

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18

Jirgl, M., Z. Bradac, and P. Fiedler. "Adaptive Human Control Model and its Usability in Modeling of Human-in-the-loop Cyber Physical Systems." IFAC-PapersOnLine 52, no. 27 (2019): 415–20. http://dx.doi.org/10.1016/j.ifacol.2019.12.697.

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19

Madni, Azad M., Michael Sievers, and Carla Conaway Madni. "Adaptive Cyber-Physical-Human Systems: Exploiting Cognitive Modeling and Machine Learning in the Control Loop." INSIGHT 21, no. 3 (2018): 87–93. http://dx.doi.org/10.1002/inst.12216.

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20

Madni, Azad M., Michael Sievers, and Carla Conaway Madni. "ADAPTIVE CYBER-PHYSICAL-HUMAN SYSTEMS: Exploiting Cognitive Modeling and Machine Learning in the Control Loop." INCOSE International Symposium 28, no. 1 (2018): 1067–77. http://dx.doi.org/10.1002/j.2334-5837.2018.00534.x.

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21

Ma, Meng, Weilan Lin, Disheng Pan, et al. "Data and Decision Intelligence for Human-in-the-Loop Cyber-Physical Systems: Reference Model, Recent Progresses and Challenges." Journal of Signal Processing Systems 90, no. 8-9 (2017): 1167–78. http://dx.doi.org/10.1007/s11265-017-1304-0.

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22

Pongsakornsathien, Nichakorn, Yixiang Lim, Alessandro Gardi, et al. "Sensor Networks for Aerospace Human-Machine Systems." Sensors 19, no. 16 (2019): 3465. http://dx.doi.org/10.3390/s19163465.

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Intelligent automation and trusted autonomy are being introduced in aerospace cyber-physical systems to support diverse tasks including data processing, decision-making, information sharing and mission execution. Due to the increasing level of integration/collaboration between humans and automation in these tasks, the operational performance of closed-loop human-machine systems can be enhanced when the machine monitors the operator’s cognitive states and adapts to them in order to maximise the effectiveness of the Human-Machine Interfaces and Interactions (HMI2). Technological developments hav

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23

Sreeram, Maitreya, and Shimon Y. Nof. "Human-in-the-loop: Role in Cyber Physical Agricultural Systems." INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL 16, no. 2 (2021). http://dx.doi.org/10.15837/ijccc.2021.2.4166.

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With increasing automation, the ‘human’ element in industrial systems is gradually being reduced, often for the sake of standardization. Complete automation, however, might not be optimal in complex, uncertain environments due to the dynamic and unstructured nature of interactions. Leveraging human perception and cognition can prove fruitful in making automated systems robust and sustainable. “Human-in-the-loop” (HITL) systems are systems which incorporate meaningful human interactions into the workflow. Agricultural Robotic Systems (ARS), developed for the timely detection and prevention of d

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24

Schirner, Gunar, D. Erdogmus, Kaushik Chowdhury, and Taskin Padir. "The Future of Human-in-the-Loop Cyber-Physical Systems." Computer, 2012, 1. http://dx.doi.org/10.1109/mc.2012.428.

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25

Zheng, Zhigao, Shahid Mumtaz, Mohammad R. Khosravi, and Varun G. Menon. "Linked Data Processing for Human-in-the-Loop in Cyber-Physical Systems." IEEE Transactions on Computational Social Systems, 2021, 1–11. http://dx.doi.org/10.1109/tcss.2020.3029569.

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26

Munster, Anna. "Love Machines." M/C Journal 2, no. 6 (1999). http://dx.doi.org/10.5204/mcj.1780.

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A new device, sure to inspire technological bedazzlement, has been installed in Hong Kong shopping malls. Called simply The Love Machine, it functions like a photo booth, dispensing on-the-spot portraits1. But rather than one subject, it requires a couple, in fact the couple, in order to do its work of digital reproduction. For the output of this imaging machine is none other than a picture of the combined features of the two sitters, 'morphed' together by computer software to produce a technological child. Its Japanese manufacturers, while obviously cashing in on the novelty value, neverthele

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