Open Access
E3S Web Conf.
Volume 245, 2021
2021 5th International Conference on Advances in Energy, Environment and Chemical Science (AEECS 2021)
Article Number 03018
Number of page(s) 6
Section Chemical Performance Research and Chemical Industry Technology Research and Development
Published online 24 March 2021
  1. Benish R, Smidts C, Aurand A, Gupta GJ, Boring R. A pilot experiment for science-based human reliability analysis validation. In: Proceedings of the probabilistic safety assessment and analysis (PSA 2013). Columbia, SC; 2013. [Google Scholar]
  2. Kirwan B. Human error identification in human reliability assessment. Part 1: overview of approaches. Appl Ergon 1992; 23(5):299–318. [PubMed] [Google Scholar]
  3. James CY, Bley D, Criscione L, Kirwan B, Mosleh A, Madary T, et al. The SACADA database for human reliability and human performance. Reliab Eng Syst Saf 2014; 125:117–33. [Google Scholar]
  4. Groth KM, Mosleh A. A data-informed PIF hierarchy for model-based humanreliability analysis. Reliab Eng Syst Saf 2012; 108:154–74. [Google Scholar]
  5. Cohen, M.X., 2014. Analyzing Neural Time Series Data: Theory and Practice. MIT press. [Google Scholar]
  6. D. Clements-Croome, Creating the productive workplace: Taylor & Francis, 2006. [Google Scholar]
  7. L. Lan, Z. Lian, L. Pan, and Q. Ye, “Neurobehavioral approach for evaluation of office workers’ productivity: The effects of room temperature,” Building and Environment, vol. 44, pp. 1578-1588, 2009. [Google Scholar]
  8. P. Wargocki, “Productivity and health effects of high indoor air quality,” in Encyclopedia of environmental health, ed: Burlington: Elsevier., 2011. [Google Scholar]
  9. Holling CS. Resilience and stability of ecological systems. Annual review of ecology and systematics 1973; 4(1):1–23. [Google Scholar]
  10. Faturechi R, Miller-Hooks E. Travel time resilience of roadway networks under disaster. Transportation research part B: methodological 2014; 70:47–64. [Google Scholar]
  11. Francis R, Bekera B. A metric and frameworks for resilience analysis of engineered and infrastructure systems. Reliability Engineering & System Safety 2014; 121: 90–103. [Google Scholar]
  12. Nan C, Sansavini G. A quantitative method for assessing resilience of interdependent infrastructures. Reliability Engineering & System Safety 2017; 157: 35–53. [Google Scholar]
  13. E. Fleishman and M. Reilly: Handbook of Human Abilities, Consulting Psychologists Press, pp.1-37, (1992). [Google Scholar]
  14. Barriere, M., et al. “Technical Basis and Implementation Guidelines for A Technique for Human Event Analysis (ATHEANA)” NUREG-1624, Rev. 1. U.S. Nuclear Regulatory Commission, Washington, DC, 2005. May 2000 [Google Scholar]
  15. Erasmia Lois, M., et al. ”The Employment of Empirical Data and Bayesian Methods in Human Reliability Analysis: A Feasibility Study” NUREG/CR-6949. U.S. Nuclear Regulatory Commission, Washington, DC, September 2005. [Google Scholar]
  16. Ministry of Housing and Urban-Rural Development of the People’s Republic of China. Design Code for Heating Ventilation and Air Conditioning of Civil Buildings: GB50736. Beijing, China: China Architecture & Building Press; 2012. [Google Scholar]
  17. American Society for Testing and Materials (ASTM). Standard F2668–07: Determining the Physiological Responses of the Wearer to Protective Clothing Ensembles. West Conshohocken, PA: American Society for Testing and Materials (ASTM); 2011. [Google Scholar]
  18. Yamtraipat N, Khedari J, Hirunlabh J. Thermal comfort standards for air conditioned buildings in hot and humid Thailand considering additional factors of acclimatization and education level. Sol Energy. 2005; 78(4):504-517. [Google Scholar]
  19. Jin L, Zhang YF, Zhang ZJ. Human responses to high humidity in elevated temperatures for people in hot-humid climates. Build Environ. 2017; 114:257-266. [Google Scholar]
  20. Delorme, A., Makeig, S. (2004). EEGLAB: an Open Source Toolbox for Analysis of Single-Trial EEG Dynamics. [Google Scholar]

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