AI-enhanced fire detection and suppression system for autonomous ships

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참고문헌 (48)

1. Aliff, M., "Development of fire fighting robot (QROB)", Int. J. Adv. Comput. Sci. Appl, 10 (2019)[DOI]
2. Alqourabah, H., "A smart fire detection system using iot technology with automatic water sprinkler", Int. J. Electr, 11 (2021)[DOI]
3. Aneziris, O., "A systematic literature review on LNG safety at ports", Saf. Sci, 124, pp.104595~ (2020)[DOI]
4. Baalisampang, T., "Modelling an integrated impact of fire, explosion and combustion products during transitional events caused by an accidental release of LNG", Process Saf. Environ. Prot, 128, pp.259~272 (2019)[DOI]
5. Bellas, R., "Assessment of the fire dynamics simulator for modeling fire suppression in engine rooms of ships with low-pressure water mist", Fire Technol, 56, pp.1315~1352 (2020)[DOI]
6. Chen, T., "An automatic fire searching and suppression system for large spaces", Fire Saf. J, 39, pp.297~307 (2004)[DOI]
7. Chen, X., "An automatic jet fire extinguishing device based on video", International Conference on Mechatronics, Electronic, Industrial and Control. Engineering (MEIC-15) (2015), Atlantis Press
8. Chollet, F., "Xception: deep learning with depthwise separable convolutions", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.1800~1807 (2017)
9. Chowdhury, B. S., "Autonomous sprinkler system with internet of things", Int. J. Appl. Eng. Res, 12, pp.5430~5432 (2017)
10. De Santis, A., "A unified fuzzy logic approach to trajectory planning and inverse kinematics for a fire fighting robot operating in tunnels", Intell. Serv. Robot, 1, pp.41~49 (2008)[DOI]
11. de Vos, J., "Assessment of the required subdivision index for autonomous ships based on equivalent safety", Assessment, 17, pp.18~ (2019)
12. Enright, J. M., "Cyp27c1 red-shifts the spectral sensitivity of photoreceptors by converting vitamin A1 into A2", Curr. Biol, 25, pp.3048~3057 (2015)[DOI]
13. Ferreira, L. M., "Autonomous system for wildfire and forest fire early detection and control", Inventions, 5 (2020)[DOI]
14. Garrido-Jurado, S., "Automatic generation and detection of highly reliable fiducial markers under occlusion", Pattern Recognit, 47, pp.2280~2292 (2014)[DOI]
15. Gollner, M. J., "Detection and suppression of fires : a cornerstone of fire protection engineering", Fire Technol, 52, pp.1193~1196 (2016)[DOI]
16. Gong, F., "A real-time fire detection method from video with multifeature fusion", Comp. Intell. Neurosci, 2019, pp.1~17 (2019)[DOI]
17. Huang, L., "Fire detection in video surveillances using convolutional neural networks and wavelet transform", Eng. Appl. Artif. Intell, 110, pp.104737~ (2022)[DOI]
18. Hwang, I. -K., "Wave height measurement scheme using wave detector based on convolutional neural network and PPM calculator with ocean wave images", Int. J. Nav. Archit. Ocean Eng, 15, pp.100542~ (2023)[DOI]
19. Jayashree, S., "Real-time fire detection, alerting and suppression system using live video surveillance", Imp J. Interdiscip. Res (IJIR), 2, pp.595~600 (2016)
20. Kim, D., "CNN-based fire detection method on autonomous ships using composite channels composed of RGB and IR data", Int. J. Nav. Archit. Ocean Eng, 14 (2022)[DOI]
21. Kim, J. -H., "Firefighting robot stereo infrared vision and radar sensor fusion for imaging through smoke", Fire Technol, 51, pp.823~845 (2015)[DOI]
22. Kim, T. -e., "Safety challenges related to autonomous ships in mixed navigational environments", WMU J. Marit. Aff, 21, pp.141~159 (2022)[DOI]
23. Latif, A., "Fire detection and spatial localization approach for autonomous suppression systems based on artificial intelligence", Fire Technol, 59, pp.2621~2644 (2023)[DOI]
24. Lavrov, A., "Application of lidar in ultraviolet, visible and infrared ranges for early forest fire detection", Appl. Phys. B, 76, pp.87~95 (2003)[DOI]
25. Lee, E. -J., "Application of reinforcement learning to fire suppression system of an autonomous ship in irregular waves", Int. J. Nav. Archit. Ocean Eng, 12, pp.910~917 (2020)[DOI]
26. Li, S., "A thermal imaging flame-detection model for firefighting robot based on YOLOv4-F model", Fire, 5, pp.172~ (2022)[DOI]
27. McNeil, J. G., "Autonomous fire suppression system for use in high and low visibility environments by visual servoing", Fire Technol, 52, pp.1343~1368 (2016)[DOI]
28. McNeil, J. G., "Robotic fire suppression through autonomous feedback control", Fire Technol, 53, pp.1171~1199 (2017)[DOI]
29. Miyashita, T., "Modeling and analysis of water discharge trajectory with large capacity monitor", Fire Saf. J, 63, pp.1~8 (2014)[DOI]
30. Mowrer, F. W., "Lag times associated with fire detection and suppression", Fire Technol, 26, pp.244~265 (1990)[DOI]
31. Suppression of Shipboard Fires in Large Volume Spaces Using Monitors- Final Report, "Navy, U.", ~ (2015)
32. Park, D. -K., "Development of damage control training scenarios of naval ships based on simplified vulnerability analysis results", Int. J. Nav. Archit. Ocean Eng, 8, pp.386~397 (2016)[DOI]
33. Park, J. -H., "Multi-vessel target tracking with camera fusion for unmanned surface vehicles", Int. J. Nav. Archit. Ocean Eng, 16, pp.100608~ (2024)[DOI]
34. Park, J. -O., "Fire suppression test using the automatic monitor system for double-deck tunnel", Fire Sci. Eng, 31, pp.40~46 (2017)[DOI]
35. Prasojo, I., "Design of ultrasonic sensor and ultraviolet sensor implemented on a fire fighter robot using AT89S52", J. Robot, 1, pp.55~58 (2020)[DOI]
36. Puisa, R., "Towards an explanation of why onboard fires happen : the case of an engine room fire on the cruise ship"Le Boreal"", Appl. Ocean Res, 88, pp.223~232 (2019)[DOI]
37. Sarvari, A., "A new tunnel fire detection and suppression system based on camera image processing and water mist jet fans", Heliyon, 5, pp.e01879~ (2019)[DOI]
38. Selvaraju, R. R., "Grad-CAM : visual explanations from deep networks via gradient-based localization", Int. J. Comput. Vis, 128, pp.336~359 (2020)[DOI]
39. Singh, T., "Gas Sensors", ~ (2017)
40. Son, E. -Y., "Corrosion area detection and depth prediction using machine learning", Int. J. Nav. Archit. Ocean Eng, 16, pp.100617~ (2024)[DOI]
41. Sugawa, O., "Burning behavior in a poorly ventilated compartment fire-ghosting fire", Fire Sci. Technol, 9, pp.2_5~2_14 (1989)[DOI]
42. Szegedy, C., "Rethinking the inception architecture for computer vision", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.2818~2826 (2016)
43. Thomas, P. H., "Flashover and instabilities in fire behavior", Combust. Flame, 38, pp.159~171 (1980)[DOI]
44. Xie, Y., "Reliable LiDAR-based ship detection and tracking for Autonomous Surface Vehicles in busy maritime environments", Ocean Eng, 312, pp.119288~ (2024)[DOI]
45. Yao, Z., "LiDAR-based simultaneous multi-object tracking and static mapping in nearshore scenario", Ocean Eng, 272, pp.113939~ (2023)[DOI]
46. Yuan, F., "An integrated fire detection and suppression system based on widely available video surveillance", Mach. Vis. Appl, 21, pp.941~948 (2010)[DOI]
47. Zhang, J., "Performance of overall heat transfer coefficient and exploring heat transfer through the ceiling vent of compartment fire in ship structures with A60 constructions", Ships Offshore Struct, 10, pp.328~334 (2015)[DOI]
48. Zhu, J, "Intelligent fire monitor for fire robot based on infrared image feedback control", Fire Technol, 56, pp.2089~2109 (2020)[DOI]

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