Atrial fibrillation (AF) is the most common form of sustained arrhythmia in elderly patients. However, AF is often detected during health screening, or accidentally during testing for other diseases; some patients lack clinical symptoms. Nevertheless, AF increases the incidence of ischemic stroke and other thrombotic events, and compromises cardiovascular prognosis in terms of heart failure, dementia, and hospitalization. Therefore, initial AF management should be performed at the point of primary care, not only in specialized medical centers. We wish to propose a five-step management protocol for AF. We review the evidence supporting integrated management by primary care physicians new to AF, and by specialized physicians who often diagnose and manage AF. Further, we also outline a structured goal-based follow-up protocol; this is an important part of integrated management. (Korean J Med 2018;93:336-343)
Purpose: The purpose of this study is to design an experimental simulation model for evaluating the UGV(Unmanned Ground Vehicle) effectiveness in a small unit combat scenario.
Methods:We design and build a simulation model to evaluate the combat effectiveness of UGV in a small unit combat scenario. In order to build a simulation model, we used AnyLogic software tool which has functional advantages to describe agent-based simulation model. As for the combat scenario, we applied the typical engagement of mechanized unit equal or lower than battalion level. Analysis process follows the three phases. 1) Design an agent based conceptual medel in a small unit combat scenario. 2) Build a simulation medel using AnyLogic tool. 3) Analyze the simulation results and evaluate the UGV effectiveness.Results: The UGV effectiveness was measured and presented as a numeric values. Those numeric values were represented as a MOE(Measure of Effectiveness) which was the blue survival ratio.
Conclusion:We developed an agent based simulation model which can provide a pattern of change how UGV effectiveness varied depending upon the number of UGV in a small unit combat scenario. We also found that the UGV effectiveness grows in the given scenario as the number of UGV increases.
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