International Conference Papers


I.C. Moon et al. 2015. EMSSIM: EMERGENCY MEDICAL SERVICE SIMULATOR WITH GEOGRAPHIC AND MEDICAL DETAILS. In Winter Simulation Conference. Huntington Beach, CA.

 

Abstract : 

 This paper introduces EMSSim that is an agent-based simulation of emergency medical services during disasters. We developed EMSSim to encompass the disaster victims' pass-ways from their rescues to their definitive care. This modeling scope resulted that our model delivers the detailed geographical and medical modeling which are often modeled separately. This is an effort to fill the gap between the pre-hospital delivery and the in-hospital care over the disaster period. We specified the model with a variant of the dynamic DEVS formalism so that the complex models could be better understood and utilized by others. Also, we suggest a modeling approach to create a profile with mathematical modeling on the victims' survival rates, which would enable our models to simulate the effectiveness of the treatments by the responders. Finally, we provide a case study of virtual experiments that analyzes the sensitivity of rescue performances by varying the disaster response resources.

 

@inproceedings{Moon:2015:EEM:2888619.2888761,
 author = {Moon, Il-Chul and Bae, Jang Won and Lee, Junseok and Kim, Doyun and Lee, Hyunrok and Lee, Taesik and Cha, Won-Chul and Kim, Ju-Hyun and Kim, Gi Woon},
 title = {EMSSIM: Emergency Medical Service Simulator with Geographic and Medical Details},
 booktitle = {Proceedings of the 2015 Winter Simulation Conference},
 series = {WSC '15},
 year = {2015},
 isbn = {978-1-4673-9741-4},
 location = {Huntington Beach, California},
 pages = {1272--1284},
 numpages = {13},
 url = {http://dl.acm.org/citation.cfm?id=2888619.2888761},
 acmid = {2888761},
 publisher = {IEEE Press},
 address = {Piscataway, NJ, USA},
} 

 

Source Website :  

 http://dl.acm.org/citation.cfm?id=2888761

No. Subject
37 T. Lee et al., "Characterizing emergency responses in localities with different social infrastructures using EMSSim," 2016 Winter Simulation Conference (WSC), Washington, DC, USA, 2016, pp. 1926-1937. file
36 Chi-Jung Jung and Il-Chul Moon. Intelligent Behavior Modeling on Information Delivery of Time-Sensitive Targets, 2016 International Simulation Muti-Conference, AsiaSim / SCS AutumnSim, Beijing, China. file
35 Doyun Kim, Do-hyeong Kim, and Il-Chul Moon. Inverse Modeling of Combat Behavior with Virtual-Constructive Simulation Training, 2016 International Simulation Muti-Conference, AsiaSim / SCS AutumnSim, Beijing, China. file
34 ​K.W. Song and S.H. Kim and J.H. Tak and H.L. Choi and I.C. Moon, 2016, Data-Driven Ballistic Coefficient Learning for Future State Prediction of High-Speed Vehicles, 19th International Conference on Information Fusion (FUSION), Heidelberg, Germany file
33 Lee, W.S., Lee, Y.M., Kim, H.Y., and Moon, I.-C., 2016. Bayesian Nonparametric Collaborative Topic Poisson Factorization for Electronic Health Records-Based Phenotyping. In International Joint Conference on Artificial Intelligence (IJCAI 2016). New file
32 Yun, W.-S., S.-G. Ko, I.-C. Moon, and T.-E. Lee. 2015. “Effectiveness of Command and Control Time in Combat Outcome.” In Asia Simulation Conference. Jeju Island, Korea. file
31 Shin, S.-J., J.Y. Oh, S.R. Park, M.K. Kim, and I.-C. Moon. 2015. “Hierarchical Prescription Pattern Analysis with Symptom Labels.” In Workshop on Biological Data Mining and Its Applications in Healthcare, International Conference on Data Mining. file
30 Park, S.R., W.S. Lee, and I.-C. Moon. 2015. “Supervised Dynamic Topic Models for Associative Topic Extraction with A Numerical Time Series.” In Workshop on Topic Models: Post-Processing and Applications, ACM Conference on Information and file
» I.C. Moon et al. 2015. EMSSIM: EMERGENCY MEDICAL SERVICE SIMULATOR WITH GEOGRAPHIC AND MEDICAL DETAILS. In Winter Simulation Conference. Huntington Beach, CA. file
28 A.R. Kang, D.Y. Kim, J.S. Lee, J.W. Bae, and I.C. Moon. 2015. COMPARATIVE STUDY OF COMMAND AND CONTROL STRUCTURE BETWEEN ROK AND US FIELD ARTILLERY BATTALION. In Winter Simulation Conference. Huntington Beach, CA. file
27 Song, K. -W., Kim, D. -H., Shin, S. -J., and Moon, I. -C., 2014. Identifying the Evolution of Disasters and Responses with Network-Text Analysis, IEEE International Conference on SMC, San Diego, USA, Oct. 5-8, 2014 file
26 Park, S.R., Choi, D.S., Jung, D., Kim, M. and Moon, I. -C., 2014. Disease-Medicine Topic Models for Prescription Record Mining, IEEE International Conference on SMC, San Diego, USA, Oct. 5-8, 2014 file
25 Lee, W.S., Yi, G., Jung, D., Kim, M. and Moon, I. -C., 2014. Network Analysis Approach to Study Hospitals’ Prescription Patterns focused on the Impact of New Healthcare Policy, IEEE International Conference on SMC, San Diego, USA, Oct. 5-8, 2014 file
24 Lee, W.S., Park, S.R. and Moon, I.-C., 2014. Modeling Multiple Fields of Collective Emotions with Brownian Agent-Based Model. In AAMAS. Paris, France. file
23 Lee, S.H., Bae, J.W., Lee, J.S., Hong, J.H. and Moon, I.-C., 2014. Simulation Experiment of Routing Strategy for Evacuees and Disaster Responders. In Spring Simulation Multiconference. Tampa, FL., Apr. 13-16, 2014 file
22 Yun, W.-S., Moon, I.-C. and Lee, T.-E., 2013. Entity Level Combat Modeling with Functions of Unit Level Combat. In Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC) 2013. Orlando, FL. file
21 Moon, I.-C. and Hong, J.H., 2013. Theoretic Interplay Between Abstraction, Resolution, and Fidelity in Model Information. In Proceedings of the 2013 Winter Simulation Conference. Washington D. C.: IEEE, pp. 1283–1291. file
20 Lee, S.H., Shin, J.S., Lee, G.H. and Moon, I.-C., 2013. Impact of Relocation to City Commerce: Micro-Level Estimation with Agent-Based Model. In 2013 Spring Simulation Multiconference. San Diego, CA, USA, pp. 77–84. file
19 Bae, J.W., Lee, G. and Moon, I.-C., 2012. Formal Specification Supporting Incremental and Flexible Agent-Based Modeling. In 2012 Winter Simulation Conference. Berlin, Germany. file
18 Lee, G., Oh, N. and Moon, I.-C., 2012. Modeling and simulating network-centric operations of organizations for crisis management. In 2012 Spring Simulation Multiconference. Orlando, FL, pp. 114–122. file