Intelligent space as a fire detection system

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn 3, Issue , 2006, Pages 2240-2244

  Podržj, Primož ^a   Hashimoto, Hideki ^b  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

^b INSTITUTE OF INDUSTRIAL SCIENCE   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SOFTWARE; FIRE DETECTORS; MOBILE ROBOTS; OPTIMIZATION;

FIRE DETECTION SYSTEMS; INTELLIGENT SPACES;

INTELLIGENT SYSTEMS;

EID: 34548128890     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2006.385194     Document Type: Conference Paper

References (33)

1. Faouzi Derbel. Modeling fire detector signals by means of system identification techniques. IEEE Transactions on Instrumentation and Measurement, 50(6): 1815-1821, December 2001.
2. Yang Lizhong, Zhou Xiaodong, Deng Zhihua, Fan Weicheng, and Wang Qing'an. Fire situation and fire characteristic analysis based on fire statistics of china. Fire Safety Journal, 37(8):785-802, November 2002.
3. E. Hess. Alarmstatistik - ungewollte und erfolgreiche Alarmmeldungen von Brandmeldeanlagen - eine 10-jährige Studie. Fachtagung Brandmeldeanlagen, 1998.
4. J. N. Smithies, P. E. Burry, and M. J. Spearpoint. Background signals from fire detectors: Measurement, analysis, application. Fire Safety Journal, 17(6):445-459, 1991.
5. Report on the statistical survey of false alarms. Central Fire Brigades Advisory Councils, Home Office, London, 1988.
6. P. E. Burry. False alarms. BRE Information Sheet, Building Research Establishement, Watford, Herts, UK, 1986.
7. J. R. Hall. The latest statistics on us home smoke detectors. Fire J., 83(1):39-41, 1989.
8. A. Keller, M. Rüegg, M. Forster, M. Loepfe, R. Pleisch, P. Nebiker, and H. Burtscher. Open photoacoustic sensor as smoke detector. Sensors and Actuators B: Chemical, 104(1-3): 1-7, January 2005.
9. C. L. Smith. Smoke detector operatibility survey, report on findings. Technical Report, Consumer Product Safety Commission, 1994.
10. Yash Gupta and Avinash Dharmadhikari. Analysis of false alarms given by automatic fire detection systems. Reliability Engineering, 13(3): 163-174, 1985.
11. Frederick W. Mowrer and Michael G. Pecht. Exploratory research on nonthermal damage to electronics from fires and fire-suppression agents. In Annual Reliability and Maintainability Symposium 1995 Proceedings, pages 1-6, Washington, DC, USA, Januar 16-19 1995.
12. A. M. Hasofer and I. Thomas. Analysis of fatalities and injuries in building fire statistics. Fire Safety Journal, 41(1):2-14, February 2006.
13. Joo-Ho Lee and Hideki Hashimoto. Intelligent space, its past and future. In The 25th Annual Conference of the IEEE Industrial Electronics Society, volume 1, pages 126-131, San Jose, California, USA, 29 Nov.-3 Dec. 1999.
14. Guido Appenzeller, Joo-Ho Lee, and Hideki Hashimoto. Building topological maps by looking at people: An example of cooperation between intelligent spaces and robots, In Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 1997), volume 3, pages 1326-1333, Grenoble, France, 7-11 Sept. 1997.
15. Joo-Ho Lee and Hideki Hashimoto. Controlling mobile robots in distributed intelligent sensor network. IEEE Transactions on Industrial Electronics, 50(5):890-902, October 2003.
16. Joo-Ho Lee and Hideki Hashimoto. Intelligent space. In Proceedings of the 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000), volume 2, pages 1358-1363, Takamatsu, Japan, 31 Oct.-5 Nov. 2000.
17. Joo-Ho Lee, Kazuyuki Morioka, Noriaki Ando, and Hideki Hashimoto. Cooperation of distributed intelligent sensors in intelligent environment. IEEE/ASME Transactions on Mechatronics, 9(3):535-543, September 2004.
18. Kazuyuki Morioka, Joo-Ho Lee, and Hideki Hashimoto. Human-following mobile robot in a distributed intelligent sensor network. IEEE Transactions on Industrial Electronics, 51(1):229-237, February 2004.
19. Kazuyuki Morioka and Hideki Hashimoto. Appearance based object identification for distributed vision sensors in intelligent space. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2004), volume 1, pages 199-204, Sendai, Japan, 28 Sept.-2 Oct. 2004.
20. Kazuyuki Morioka and Hideki Hashimoto. Color appearance based object identification in intelligent space. In The 8th IEEE International Workshop on Advanced Motion Control (AMC '04), pages 505-510, Kawasaki, Japan, 25-28 March 2004.
21. Faouzi Derbel. Performance improvement of fire detectors by means of gas sensors and neural networks. Fire Safety Journal, 39(5):383-398, July 2004.
22. Hiromitsu Ishii, Takashi OnoYukio Yamauchi, and Shigeru Ohtani. An algorithm for improving the reliability of detection with processing of multiple sensors'signal. Fire Safety Journal, 17(6):469-484, 1991.
23. Rainer Siebel. Composite detection algorithm using signal trend information of two different sensors. Fire Safety Journal, 17(6):519534, 1991.
24. Luis A. Cestari, Clarence Worrell, and James A. Milke. Advanced fire detection algorithms using data from the home smoke detector project. Fire Safety Journal, 40(1): 1-28, February 2005.
25. M. J. Spearpoint and J. N. Smithies. Experimental analysis of the performance of a multi-sensor two-stage fire detection and water discharge algorithm. Fire Safety Journal, 29(2-3): 141-157, September-October 1997.
26. H. C. Müller and A. Fischer. Robust fire detection algorithm for temperature and optical smoke density using fuzzy logic. In The IEEE 29th Annual International Carnahan Conference on Security Technology, pages 197-204, Sanderstead, Surrey, England, October 18-20 1995.
27. Bancha Charumporn, Michifumi Yoshioka, Toru Fujinaka, and Sigeru Omatu. Early stage fire detection using reliable metal oxide gas sensors and artificial neural networks. In Proceedings of the International Joint Conference on Neural Networks, volume 4, pages 3185-3188, Portland, Oregon, USA, July 20-24 2003.
28. James R. Qualey III. Fire test comparisons of smoke detector response times. Fire Technology, 36(2):89-108, May 2000.
29. Thou-Ho (Chao-Ho) Chen, Ping-Hsueh Wu, and Yung-Chuen Chiou. An early fire-detection method based on image processing. In International Conference on Image Processing (ICIP), volume 3, pages 1707-1710, Singapore, October 24-27 2004.
30. Thou-Ho (Chao-Ho) Chen, Ping-Hsueh Wu, and Yung-Chuen Chiou. An intelligent real-time fire-detection method based on video processing. In Proceedings of the 37th Annual IEEE International Carnahan Conference on Security Technology, pages 104-111, Taipei, Taiwan, October 14-16 2003.
31. Glenn Healey, David Slater, Ted Lin, Ben Drda, and A. Donald Goedke. A system for real-time fire detection. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 605-606, 15-17 June 1993.
32. B. Uǧur Töreyin, Yiǧithan Dedeoǧlu, Uǧur Güdükbay, and A. Enis Çetin. Computer vision based method for real-time fire and flame detection. Pattern Recognition Letters, 27(1):49-58, January 2006.
33. Tao Chen, Hongyong Yuan, Guofeng Su, and Weicheng Fan. An automatic fire searching and suppression system for large spaces. Fire Safety Journal, 39(4):297-307, June 2004.