Skip to main content
SpringerLink
Log in

From Mechatronics to the Cloud

  • Chapter
  • First Online:
Reinventing Mechatronics

Abstract

At its conception mechatronics was viewed purely in terms of the ability to integrate the technologies of mechanical and electrical engineering with computer science to transfer functionality, and hence complexity, from the mechanical domain to the software domain. However, as technologies, and in particular computing technologies, have evolved so the nature of mechatronics has changed from being purely associated with essentially stand-alone systems such as robots to providing the smart objects and systems which are the building blocks for Cyber-Physical Systems, and hence for Internet of Things and Cloud-based systems. With the possible advent of a 4th Industrial Revolution structured around these systems level concepts, mechatronics must again adapt its world view, if not its underlying technologies, to meet this new challenge.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 129.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    See for instance www.strava.com (as of October 2018).

  2. 2.

    Adapted from [43].

  3. 3.

    Detected by the on-board sensors!

References

  1. Dorogovtsev, S. N., & Mendes, J. F. (2002). Evolution of networks. Advances in Physics, 51(4), 1079–1187.

    Article  Google Scholar 

  2. Mattern, F., & Floerkemeier, C. (2010). From the Internet of Computers to the Internet of Things. In From active data management to event-based systems and more (pp. 242–259). Berlin: Springer.

    Google Scholar 

  3. Dhamdhere, A., & Dovrolis, C. (2011). Twelve years in the evolution of the internet ecosystem. IEEE/ACM Transactions on Networking, 19(5), 1420–1433.

    Article  Google Scholar 

  4. Foster, I., Zhao, Y., Raicu, I., & Lu, S. (2008). Cloud computing and grid computing 360-degree compared. In IEEE Grid Computing Environments Workshop (GCE’08) (pp. 1–10).

    Google Scholar 

  5. Bradley, D. A., Russell, D., Ferguson, I., Isaacs, J., & White, R. (2015). The Internet of Things—The future or the end of mechatronics. Mechatronics, 27, 57–74.

    Article  Google Scholar 

  6. Lee, E. A., & Seshia, S. A. (2016). Introduction to embedded systems: A cyber-physical systems approach. MIT Press.

    Google Scholar 

  7. Minerva, R., Biru, A., & Rotondi, D. (2015). Towards a definition of the Internet of Things. IEEE Internet Initiative, 1, 1–86.

    Google Scholar 

  8. Rittinghouse, J. W., & Ransome, J. F. (2016). Cloud computing: implementation, management, and security. CRC Press.

    Google Scholar 

  9. Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: from big data to big impact. MIS Quarterly, 1165–1188.

    Google Scholar 

  10. Iorga, M., Feldman, L., Barton, R., Martin, M. J., Goren, N., & Mahmoudi, C. (2017). The NIST definition of fog computing (Draft), NIST Special Publication 800-191.

    Google Scholar 

  11. Datta, S. K., Bonnet, C., & Haerri, J. (2015). Fog computing architecture to enable consumer centric Internet of Things services, IEEE International Symposium on Consumer Electronics (ISCE) (pp. 1–2).

    Google Scholar 

  12. Yi, S., Li, C., & Li, Q. (2015). A survey of fog computing: Concepts, applications and issues. In Proceedings of the 2015 Workshop on Mobile Big Data (pp. 37–42).

    Google Scholar 

  13. Gupta, H., Vahid Dastjerdi, A., Ghosh, S. K., & Buyya, R. (2017). iFogSim: A toolkit for modelling and simulation of resource management techniques in the Internet of Things. Edge and Fog Computing Environments, Software: Practice & Experience, 47(9), 1275–1296.

    Google Scholar 

  14. Munir, A., Kansakar, P., & Khan, S. U. (2017). IFCIoT: Integrated fog cloud IoT architectural paradigm for future internet of things. IEEE Consumer Electronics Magazine, 6(3), 74–82.

    Article  Google Scholar 

  15. World Economic Forum Report Survey Report. (2015). Deep Shift—Technology Tipping Points and Societal Impact @ www3.weforum.org/docs/WEF_GAC15_Technological_Tipping_Points_report_2015.pdf. Accessed December 20, 2017.

  16. Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of things: A survey on enabling technologies, protocols, and applications. IEEE Communications Surveys & Tutorials, 17(4), 2347–2376.

    Article  Google Scholar 

  17. Botta, A., De Donato, W., Persico, V., & Pescapé, A. (2016). Integration of cloud computing and internet of things: A survey. Future Generation Computer Systems, 56, 684–700.

    Article  Google Scholar 

  18. Weyrich, M., & Ebert, C. (2016). Reference architectures for the Internet of Things. IEEE Software, 33(1), 112–116.

    Article  Google Scholar 

  19. Yang, Z., Yue, Y., Yang, Y., Peng, Y., Wang, X., & Liu, W. (2011). Study and application on the architecture and key technologies for IoT. IEEE International Conference on Multimedia Technology (pp. 747–751).

    Google Scholar 

  20. Wu, D., Rosen, D. W., Wang, L., & Schaefer, D. (2014). Cloud-based manufacturing: Old wine in new bottles? Procedia CIRP, 17, 94–99.

    Article  Google Scholar 

  21. Wang, P., Gao, R. X., & Fan, Z. (2015). Cloud computing for cloud manufacturing: Benefits and limitations. ASME Journal of Manufacturing Science and Engineering, 137(4), 040901.

    Article  Google Scholar 

  22. Facts & Data on Small Business and Entrepreneurship @ sbecouncil.org/about-us/facts-and-data/. Accessed October 4, 2018.

    Google Scholar 

  23. Schaar, P. (2010). Privacy by design. Identity in the Information Society, 3(2), 267–274.

    Article  Google Scholar 

  24. Cavoukian, A., Taylor, S., & Abrams, M. E. (2010). Privacy by design: Essential for organizational accountability and strong business practices. Identity in the Information Society, 3(2), 405–413.

    Article  Google Scholar 

  25. Radomirovic, S. (2010). Towards a model for security and privacy in the Internet of Things. In Proceedings of the 1st International Workshop on Security of the Internet of Things, Tokyo.

    Google Scholar 

  26. Weber, R. H. (2010). Internet of Things—New security and privacy challenges. Computer Law & Security Review, 26, 23–30.

    Article  MathSciNet  Google Scholar 

  27. British Standards Institute. (2017). PAS 185:2017 Smart Cities—Specification for establishing and implementing a security-minded approach, BSI.

    Google Scholar 

  28. Roman, R., Zhou, Jianying, & Lopez, J. (2013). On the features and challenges of security and privacy in distributed internet of things. Computer Networks, 57, 2266–2279.

    Article  Google Scholar 

  29. Suo, H., Wan, J., Zou, C., & Liu, J. (2012). Security in the Internet of Things: A Review. In Proceedings of the International Conference on Computer Science and Electronics Engineering, (ICCSEE) (pp. 648–651).

    Google Scholar 

  30. Jing, Q., Vasilakos, A. V., Wan, J., Lu, J., & Qiu, D. (2014). Security of the Internet of Things: Perspectives and challenges. Wireless Networks, 20, 2481–2501.

    Article  Google Scholar 

  31. O’Neill, C. (2017). Weapons of math destruction, Penguin.

    Google Scholar 

  32. Kambatla, K., Kollias, G., Kumar, V., & Grama, A. (2014). Trends in big data analytics. Journal of Parallel & Distributed Computing, 74(7), 2561–2573.

    Article  Google Scholar 

  33. Chen, H., Chiang, R. H. L., & Storey, V. C. (2012). Business intelligence & analytics: From big data to big impact. MIS Quarterly, 36(4), 1165–1188.

    Article  Google Scholar 

  34. Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: Promise and potential. Health Information Science and Systems (Online), 2(1), 3.

    Article  Google Scholar 

  35. Lazer, D., Kennedy, R., King, G., & Vespignani, A. (2014). The parable of Google Flu: Traps in big data analysis. Science, 343, 1203–1205.

    Article  Google Scholar 

  36. Panniello, U., Tuzhilin, A., & Gorgoglione, M. (2012). Comparing context aware recommender systems in terms of accuracy and diversity. User Modelling & User-Adapted Interaction, 24(1), 35–65.

    Google Scholar 

  37. Kroll, J. A., Barocas, S., Felten, E. W., Reidenberg, J. R., Robinson, D. G., & Yu, H. (2016). Accountable algorithms. U P. Law. Review, 165, 633–705.

    Google Scholar 

  38. Kim, P. T. (2017). Auditing algorithms for discrimination. U. Pa Law Review Online, 166(1), 189–203.

    Google Scholar 

  39. Danks, D., & London, A. J. (2017). Algorithmic bias in autonomous systems. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (pp. 4691–4697).

    Google Scholar 

  40. Goodman, B. W., Flaxman, S. (2016). EU regulations on algorithmic decision-making and a “right to explanation”. In ICML Workshop Human Interpretability in Machine Learning, New York (pp. 26–30).

    Google Scholar 

  41. Landau, S. (2015). Control use of Data to Protect Privacy. Science - Special Issue The End of Privacy, 347(6221), 504–506.

    Article  Google Scholar 

  42. Watt, S., Milne, C., Bradley, D., Russell, D., Hehenberger, P., & Azorin-Lopez, J. (2016). Privacy matters-issues within mechatronics. IFAC-PapersOnLine, 49(21), 423–430.

    Article  Google Scholar 

  43. Spangler, T. (2017). Self-driving cars programmed to decide who dies in a crash, USA Today @ eu.usatoday.com/story/money/cars/2017/11/23/self-driving-cars-programmed-decide-who-dies-crash/891493001/. Accessed October 4, 2018.

    Google Scholar 

  44. Goodall, N. J. (2016). Can you program ethics into a self-driving car? IEEE Spectrum, 53(6), 28–58.

    Article  Google Scholar 

  45. Sparrow, R., & Howard, M. (2017). When human beings are like drunk robots: Driverless vehicles, ethics, and the future of transport. Transportation Research Pt C: Emerging Technologies, 80, 206–215.

    Article  Google Scholar 

  46. Bonnefon, J. F., Shariff, A., & Rahwan, I. (2016). The social dilemma of autonomous vehicles. Science, 352(6293), 1573–1576.

    Article  Google Scholar 

  47. Rogers, C., & Duranti, L. (2017). Ethics in the Cloud. Journal of Contemporary Archival Studies, 4(2), 1–11.

    Google Scholar 

  48. de Bruin, B., & Floridi, L. (2017). The ethics of cloud computing. Science and Engineering Ethics, 23(1), 21–39.

    Article  Google Scholar 

  49. World Economic Forum White Paper. (2017). Shaping the Future Implications of Digital Media for Society - Valuing Personal Data and Rebuilding Trust @ www3.wefrum.org/docs/WEF_End_User_Perspective_on_Digital_Media_Survey_Summary_2017.pdf. Accessed December 20, 2017.

  50. Xu, X. (2012). From cloud computing to cloud manufacturing. Robotics & Computer Integrated Manufacturing, 28(1), 75–86.

    Article  Google Scholar 

  51. Tiefenbeck, V., Tasic, V., Schob, S., & Staake, T. (2013). Mechatronics to drive environmental sustainability: Measuring, visualizing and transforming consumer patterns on a large scale. In IEEE Industrial Electronics Society 39th Annual Conference (IECON 2013) (pp. 4768–4773).

    Google Scholar 

  52. Edwards, B. (2014). Rough guide to sustainability: A design primer, RIBA Publishing.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Abertay University, Dundee, UK

    David Bradley

  2. Penn State Great Valley, Malvern, USA

    David Russell

  3. University of Applied Sciences Upper Austria, Wels, Austria

    Peter Hehenberger

  4. University of Alicante, Alicante, Spain

    Jorge Azorin-Lopez

  5. University of St Andrews, St Andrews, UK

    Steve Watt & Christopher Milne

Authors
  1. David Bradley
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. David Russell
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Peter Hehenberger
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jorge Azorin-Lopez
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Steve Watt
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Christopher Milne
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to David Bradley .

Editor information

Editors and Affiliations

  1. Design, Manufacture and Engineering Management, University of Strathclyde, Glasgow, UK

    Xiu-Tian Yan

  2. Dundee, UK

    David Bradley

  3. Malvern, PA, USA

    David Russell

  4. Department of Automation Engineering, School of Engineering Science, University of Skövde, Skövde, Sweden

    Philip Moore

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Bradley, D., Russell, D., Hehenberger, P., Azorin-Lopez, J., Watt, S., Milne, C. (2020). From Mechatronics to the Cloud. In: Yan, XT., Bradley, D., Russell, D., Moore, P. (eds) Reinventing Mechatronics. Springer, Cham. https://doi.org/10.1007/978-3-030-29131-0_3

Download citation

Publish with us

Policies and ethics

Search

Navigation