International Conference Papers


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.

 

Abstract : 

 One of the main points of the Republic of Korea (ROK) military reformations is to reduce the number of personnel with the strengthened arsenal. However, the number of North Korean artillery forces far surpasses the ROK artillery forces, and the threat of mass destruction by these artillery remains in the Korean Peninsula. The aim of this study was to find the alternative field artillery operations and organization. This study presents a counterfire operation multi-agent model using LDEF formalism and its virtual experiments. The virtual experiments compared 1) the damage effectiveness between battalion and battery missions and 2) the effectiveness of command and control structures in the ROK and US artillery. Their results showed that splitting the units with strengthened guns and integrated C2 structure shows better performance in terms of damage effectiveness. We believe that this paper is basic research for the future ROK-US combined division, C2 network, and operations.

 

@inproceedings{Kang:2015:CSC:2888619.2888894,
 author = {Kang, Ahram and Kim, Doyun and Lee, Junseok and Bae, Jang Won and Moon, Il-Chul},
 title = {Comparative Study of Command and Control Structure Between Rok and Us Field Artillery Battalion},
 booktitle = {Proceedings of the 2015 Winter Simulation Conference},
 series = {WSC '15},
 year = {2015},
 isbn = {978-1-4673-9741-4},
 location = {Huntington Beach, California},
 pages = {2400--2411},
 numpages = {12},
 url = {http://dl.acm.org/citation.cfm?id=2888619.2888894},
 acmid = {2888894},
 publisher = {IEEE Press},
 address = {Piscataway, NJ, USA},
} 

 

Source Website : 

 http://dl.acm.org/citation.cfm?id=2888894

No. Subject
31 Muhyun Byun, Hyungho Na, IL-Chul Moon, Time-Efficient Weapon-Target Assignment by Actor-Critic Reinforcement, IEEE Conference on System, Man, and Cybernetics (SMC 2023), Maui, Hawaii, USA, Oct 1-4, 2023 file
30 Tae-Sub Yun, Hanbit Lee, and Il-Chul Moon, Finance and Decreasing Business Dynamics: Using Macroeconomic Agent-Based Simulation, Social Simulation Conference (SSC 2022), Milan, Italy, Sep 14 file
29 Dongjun Kim, Tae-Sub Yun, Il-Chul Moon, Jang Won Bae, Automatic Calibration Framework of Agent-Based Models for Dynamic and Heterogeneous Parameters, International Conference on Autonomous Agent and Multi-Agent Systems (AAMAS 2022), Virtual, May 9 file
28 Mu Hyun Byun, Il-Chul Moon, Categorization of AI-Enabled Command and Control in Ballistic Missile Defense, International Command and Control Research and Technology Symposium (ICCRTS 2021), Oct 18, 2021 file
27 Tae-Sub Yun, Young-Chul Kim, Ki-Sung Jin, and Il-Chul Moon, AGENT-BASED MODELING AND SIMULATION ON RESIDENTIAL POPULATION MOVEMENT PATTERNS: THE CASE OF SEJONG CITY, Proceedings of the 2020 Winter Simulation Conference (WinterSim 2020), Dec 13-16 file
26 Tae-Sub Yun and Il-Chul Moon, Housing Market Agent Based Simulation with Loan-To-Value and Debt-To-Income, International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2019), Torino, Italy, Oct 28-31. file
25 Seongcheol Woo, Juneyeong Yeon, Mingi Ji, Il-Chul Moon, Jinkyoo Park. Deep Reinforcement Learning with Fully Convolutional Neural Network to Solve An Earthwork Scheduling Problem. IEEE Conference on System, Man, and Cybernetics 2018 (SMC 2018) file
24 Jang Won Bae, Bowon Nam, Kee-Eung Kim, Junseok Lee and Il-Chul Moon. Hybrid Modeling and Simulation of Tactical Maneuvers in Computer Generated Force, IEEE Conference on System, Man, and Cybernetics 2017 (SMC 2017), Banff, Canada, Oct 5-8 file
23 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
22 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
21 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
20 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
19 I.C. Moon et al. 2015. EMSSIM: EMERGENCY MEDICAL SERVICE SIMULATOR WITH GEOGRAPHIC AND MEDICAL DETAILS. In Winter Simulation Conference. Huntington Beach, CA. file
» 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
17 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
16 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
15 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
14 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
13 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
12 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