John Easton
Publications
- 2021
- Published
Blockchain application in remote condition monitoring
John Easton, 19 Mar 2021, 2020 IEEE International Conference on Big Data (Big Data). (IEEE International Conference on Big Data).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2020
- Published
DEVELOPING A GENERALISED ASSESSMENT FRAMEWORK FOR RAILWAY INTERVENTIONS
John Easton & Clive Roberts, 22 Sep 2020, Computers in Railways XVII: Proceedings of the 17th International Conference on Railway Engineering Design and Operation (COMPRAIL 2020). Passerini, G., Mera, J. M. & Takagi, R. (eds.). WIT Press, p. 127-138 (WIT Transactions on the Built Environment; vol. 199).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Blockchain technology as a mechanism for digital railway ticketing
Joseph Preece & John Easton, 24 Feb 2020, 2019 IEEE International Conference on Big Data (Big Data). IEEE Xplore, p. 3599-3606Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2019
- Accepted/In press
A data model for heat-related rail buckling: implications for operations, maintenance and long-term adaptation
David Jaroszweski, Qian Fu & John Easton, 1 Aug 2019, (Accepted/In press) Proceedings of the 12th World Congress on Railway Research. 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Towards encrypting industrial data on public distributed networks
Joseph Preece & John Easton, 24 Jan 2019, 2018 IEEE International Conference on Big Data (Big Data). IEEE Press / Wiley, p. 4540-4544 5 p. 8622246Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2018
- Published
Use of ontology for data integration in a degraded mode signalling system
Chris Morris & John Easton, 5 Nov 2018, Computers in Railways XVI. Passerini, G., M. Mera, J., Tomii, N. & Tzieropoulos, P. (eds.). WIT Press, p. 215-223 9 p. (WIT Transactions on The Built Environment; vol. 181).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Prediction of weather-related incidents on the rail network: prototype data model for wind-related delays in Great Britain
Qian Fu & John Easton, Sep 2018, In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. 4, 3, 12 p., 04018027.Research output: Contribution to journal › Article › peer-review
- Published
A prototype model for understanding heat-related rail incidents: a case study on the Anglia area in Great Britain
Qian Fu, David Jaroszweski & John Easton, 25 Jun 2018, Proceedings of the 8th International Conference on Railway Engineering (ICRE 2018). Institution of Engineering and Technology, 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Understanding data quality: ensuring data quality by design in the rail industry
Qian Fu & John Easton, 15 Jan 2018, Proceedings of the 2017 IEEE International Conference on Big Data (BIGDATA). IEEE Xplore, p. 3792-3799Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
A data model for prediction of weather-related rail incidents: a case-study example of wind-related incidents on the rail network in Great Britain
Qian Fu & John Easton, 5 Jan 2018. 12 p.Research output: Contribution to conference (unpublished) › Paper › peer-review