Profile

New User

New to Graphy Publications? Create an account to get started today.

Registered Users

Have an account? Sign in now.

How to Cite | Author Information | Publication History | Funding Information
International Journal of Mechanical Systems Engineering Volume 3 (2017), Article ID 3:IJMSE-123, 4 pages
http://dx.doi.org/10.15344/2455-7412/2017/123
Review Article
Estimation of Occupancy in a Naturally Ventilated Room using Bayesian Method Based on CO2 Concentration

Haolia Rahman and Hwataik Han*

Mechanical Engineering, Kookmin University, 77 Jeongneung-ro, Seongbuk-gu, Seoul, 136-702, Korea
Prof. Hwataik Han, Mechanical Engineering, Kookmin University, 77 Jeongneung-ro, Seongbuk-gu, Seoul, 136-702, Korea, Tel: 821072114687; E-mail: hhan@kookmin.ac.kr
17 October 2017; 25 November 2017; 27 November 2017
Rahman H, Han H (2017) Estimation of Occupancy in a Naturally Ventilated Room using Bayesian Method Based on CO2 Concentration. Int J Mech Syst Eng 3: 123. https://doi.org/10.15344/2455-7412/2017/123
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2016R1D1A1B01009625).
© 2017 Rahman et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

References

  1. Dodier RH, Henze GP, Tiller DK, Guo X (2006) Building occupancy detection through sensor belief networks. Energy Buildings 38: 1033-1043. View
  2. Kuutti J, Saarikko P, Sepponen RE (2014) Real time building zone occupancy detection and activity visualization utilizing a visitor counting sensor network, in Proc. 11th Int. Conf. Remote Eng. Virtual Instrum. (REV), pp. 219-224. View
  3. Nyarko K, Brown WC (2013) Cloud based passive building occupancy characterization for attack and disaster response, in Proc. IEEE Int. Conf. Technol. Homeland Secur. (HST), pp. 748-753. View
  4. Mumma SA (2004) Transient occupancy ventilation by monitoring CO2. IAQ Applications, pp. 21-23, View
  5. Han H, Jang KJ, Han C, Lee J (2013) Occupancy estimation based on CO2 concentration using dynamic neural network model, AIVC, Athen, Greece. View
  6. Cui S, Cohen M, Stabat P, Marchio D (2015) CO2 tracer gas concentration decay method for measuring air change rate. Building and Environment 84:162-169. View
Best viewed in Mozilla Firefox, Google Chrome, Safari, Above IE 9.0 version
Privacy Policy | Copyright & Permissions
Copyright © 2013-2024 Graphy Publications, All Rights Reserved.