International Journal Papers

Agent Modeling Jung, C.J., W.-S. Yun, I.-C. Moon, and T.-E. Lee. 2015. “Modelling and Simulation of a River-Crossing Operation via Discrete Event Simulation with Engineering Details.” Defence Science Journal 65 (2): 135–43.

2014.11.29 15:25

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Jung, C.J., W.-S. Yun, I.-C. Moon, and T.-E. Lee. 2015. “Modelling and Simulation of a River-Crossing Operation via Discrete Event Simulation with Engineering Details.” Defence Science Journal 65 (2): 135–43.

 

 

Abstract :

 From a military standpoint, a river is an area that should be avoided in a potential engagement because of lack of cover and the necessity of dividing the unit while crossing. Thus, a key point of a river-crossing operation is speed. Many efforts have been made to enable faster river crossing by improvement of tactics, techniques, and procedures (TTP). However, improvements in TTP are evaluated by modelling and simulation much less frequently than are the toe-to-toe engagements between two opposing forces, and to our knowledge, this is the first simulation model of brigade-level river crossing with engineering details. This study presents a simulation model of the river-crossing operation, applies real world parameters, and evaluates which tactics are preferable in a particular operational environments. This analysis has led to new operational methods of river crossing that have been suggested by experienced subject-matter experts. For instance, the current Republic of Korea Army Field Manual dictates to rotate river-crossing rafts in all situations, but our experiment suggests that no rotation is preferable when the width of river is less than 400 m based on the statistical analyses, which includes the regression-based meta-modelling and the ANOVA, of our simulation model that embodies the engineering details of river-crossing equipment.

 

Subject: Rivers; Computer simulation; Armed forces; Military strategy

Identifier / keyword: River crossing operation, discrete event simulation, improvement of doctrine, raft

Title: Modelling and Simulation of a River-Crossing Operation via Discrete Event Simulation with Engineering Details

Publication title: Defence Science Journal

Volume: 65

Issue: 2

Pages: 135-143

Publication year: 2015

Publication date: Mar 2015

Year: 2015

Section: Computers & Systems Studies

Publisher: Defence Scientific Information & Documentation Centre

Place of publication: New Delhi

Country of publication: United States

Publication subject: Military, Technology: Comprehensive Works, Sciences: Comprehensive Works

ISSN: 0011748X

Source type: Scholarly Journals

Language of publication: English

Document type: Feature

Document feature: References

ProQuest document ID: 1687057548

Document URL: http://search.proquest.com/docview/1687057548?accountid=27828

Copyright: Copyright Defence Scientific Information & Documentation Centre Mar 2015

Last updated: 2015-09-29

Database: ProQuest Central Basic

 

 

Source Website : 

 http://search.proquest.com/docview/1687057548?pq-origsite=gscholar#

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12 Bae, J. W., Kim, J. H., Moon, I.-C., & Kim, T. G. (2016). Accelerated Simulation of Hierarchical Military Operations with Tabulation Technique. Journal of Simulation, 10(1), 36–49. file
11 Park, S.R., W.S. Lee, and I.-C. Moon. 2015. “Associative Topic Models with Numerical Time Series.” Information Processing and Management 51 (5): 737–755. file
» Jung, C.J., W.-S. Yun, I.-C. Moon, and T.-E. Lee. 2015. “Modelling and Simulation of a River-Crossing Operation via Discrete Event Simulation with Engineering Details.” Defence Science Journal 65 (2): 135–43. file
9 Yun, W.-S., I.-C. Moon, and T.-E. Lee. 2015. “Agent-Based Simulation of Time to Decide: Military Commands and Time Delays.” Journal of Artificial Societies and Social Simulation 18 (4). file
8 Park, S.R., Lee, W.S. and Moon, I.-C., 2015. Efficient Extraction of Domain Specific Sentiment Lexicon with Active Learning. Pattern Recognition Letters, 56(4), pp.38–44. file
7 Lee, S.H., Hong, J.H., Bae, J.W. and Moon, I.-C., 2015. Impact of Population Relocation to City Commerce: Micro-Level Estimation with Validated Agent-Based Model. Journal of Artificial Societies and Social Simulation, 18(2). file
6 Lee, G., J. W. Bae, N. Oh, J. H. Hong, and I.-C. Moon. 2015. “Simulation Experiment of Disaster Response Organizational Structures With Alternative Optimization Techniques.” Social Science Computer Review 33 (3): 343–71. file
5 Bae, J.W., Lee, S.H., Hong, J.. and Moon, I.-C., 2014. Simulation-Based Analyses on Massive Evacuation from Metropolis during Bombardment. SIMULATION: Transactions of The Society for Modeling and Simulation International, 90(11), pp.1244–1267. file
4 Kim, J., T. G. Kim, and I. C. Moon. 2012. “New Insight into Doctrine via Simulation Interoperation of Heterogeneous Levels of Models in Battle Experimentation.” SIMULATION: Transactions of The Society for Modeling and Simulation International 88 (6): file
3 Yiming Yang, Shinjae Yoo, Frank Lin, and Il-Chul Moon, Personalized Email Prioritization Based on Content and Social Network Analysis, IEEE Intelligent Systems, Special Issue on Social Learning, Vol. 25, Issue 4, pp 12-18, Jul/Aug 2010 file
2 Il-Chul Moon and Kathleen M. Carley, Modeling and Simulation of Terrorist Networks in Social and Geospatial dimensions, IEEE Intelligent Systems, Special Issue on Social Computing, Vol. 22, pp 40-49, Sep/Oct. 2007 file
1 Il-Chul Moon, Mike Schneider, and Kathleen M. Carley, Evolution of Player Skill in the America’s Army Game, SIMULATION: Transactions of The Society for Modeling and Simulation International, Vol.82, Issue 11, pp 703-717, Nov. 2006 file
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