• Journal of the Korea Institute of Military Science and Technology
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• v.27 no.1
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• pp.94-106
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• 2024

In this study, we conducted a survival analysis on battalion-level commanders(leaders), focusing on infantry battalion defensive operations using the big data of brigade-level KCTC(Korea Combat Training Center) training results. Unlike previous studies, we utilized the brigade-level KCTC training results data for the first time to conduct a survival analysis, and the research subjects were battalion-level commanders(leaders), which can affect the battle. At this time, the battle results were defined, and through cluster analysis, infantry battalions were divided into excellent, average, and insufficient units, and the difference in the survival rate of the commanders was analyzed through the Kaplan-Meier survival analysis. This provided an opportunity to objectively compare the differences between excellent and insufficient units. Subsequently, factors affecting the survival of commanders were derived using the Cox proportional hazard model, and it was possible to confirm the influencing factors from various angles by also using the survival tree model. Significance and limitations confirmed in the research process were presented as policy suggestions and future research directions.

• Journal of Intelligence and Information Systems
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• v.14 no.3
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• pp.25-39
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• 2008

The objective of this study is to forecast the operational continuous ability using Artificial Neural Networks in battalion defensive operation for the commander decision making support. The forecasting of the combat result is one of the most complex issue in military science. However, it is difficult to formulate a mathematical model to evaluate the combat power of a battalion in defensive operation since there are so many parameters and high temporal and spatial variability among variables. So in this study, we used company combat power level data in Battalion Command in Battle Training as input data and used Feed-Forward Multilayer Perceptrons(MLP) and General Regression Neural Network (GRNN) to evaluate operational continuous ability. The results show 82.62%, 85.48% of forecasting ability in spite of non-linear interactions among variables. We think that GRNN is a suitable technique for real-time commander's decision making and evaluation of the commitment priority of troops in reserve.

• Journal of the Korea Society for Simulation
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• v.19 no.2
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• pp.63-72
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• 2010

In the future warfare, the importance of the counter-fire operation is increasing. The counter-fire operation is divided into offensive counter-fire operation and defensive counter-fire operation. Reviewing the researches done so far, the detection asset of offensive counter-fire operation called UAV(Unmanned Aerial Vehicle) and its operational effectiveness analysis is continually progressing. However, the analysis of the detection asset of defensive counterfire called Target Acquisition Radar(TAR) and its quantitative operational effectiveness are not studied yet. Therefore, in this paper, we studied operational effectiveness of TAR using C2 Theory & MANA Simulation model, and showed clear quantitative analysis results by comparing both cases of using TAR and not using TAR.

• Convergence Security Journal
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• v.23 no.4
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• pp.71-80
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• 2023

Cyberspace has emerged as the fifth domain of warfare, alongside land, sea, air, and space. It has become a crucial focus for offensive and defensive military operations. Governments worldwide have demonstrated their intent to engage in offensive cyber operations within this domain. This paper proposes an innovative offensive cyber kill chain model that integrates the existing defensive strategy, the cyber kill chain model, with the joint air tasking order (ATO) mission execution cycle and joint target processing procedure. By combining physical and cyber operations within a joint framework, this model aims to enhance national cyber operations capabilities at a strategic level. The integration of these elements seeks to address the evolving challenges in cyberspace and contribute to more effective jointness in conducting cyber operations.

• Journal of Korean Society of Water and Wastewater
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• v.26 no.6
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• pp.915-925
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• 2012

On-off control performance of target pumping station was experimented by changing measurement methods for storage level or inflow and operating logic for control system setting. Four scenarios with different measurement methods and operational logic were examined in the Matlab/Simulink environment. Controller's on-off control repetition that was frequent before has been reduced and more effective and stable system operation was found to be possible with the scenarios. Moreover, defensive operation enforced prevention of floods by changing measurement methods enabled economic operation that made an utmost use of storage volumes.

• Journal of Haehwa Medicine
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• v.9 no.2
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• pp.277-292
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• 2001

1. The obesity is the aggregation of symptoms accompanied with the metabolic disorder and the increase of fatty layer accumulation by the enlargement or increase of fatty cells, which is the condition that has 20% overweight than the standard. 2. The final metabolic of fat depends on the defensive energy. The shape of fatty layer is changed by the point where is the defensive energy is replenish or not. So Goin, Bein and Yuckin is made a discriminated and there is different between Besudaeso and Herlgidaso. 3. In case of liver overacting spleen by seven emotions, we can use reinforcing the spleen and don't use depressing energy. 4. Damp, weakness of Qi(氣), weakness of spleen came from seven emotion, and social stress can occur obesity. Obesity is reason of C.V.A, dizziness, dementia, schizophrenia, etc. 5. The obesity which can occurs various adult diseases came from eating disorder and various stresses at the standpoint of western medical. This is cured by diet, kinesiatrics, operation, pharmacotherapy, etc.

• Nuclear Engineering and Technology
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• v.49 no.3
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• pp.632-637
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• 2017

Even though the potential for an accident in nuclear power plants is very low, multiple emergency plans are necessary because the impact of such an accident to the public is enormous. One of these emergency plans involves a robotic system for investigating accidents under conditions of high radiation and contaminated air. To develop a robot suitable for operation in a nuclear power plant, we focused on eliminating the three major obstacles that challenge robots in such conditions: the disconnection of radio communication, falling on uneven floors, and loss of localization. To solve the radio problem, a Wi-Fi extender was used in radio shadow areas. To reinforce the walking, we developed two- and four-leg convertible walking, a floor adaptive foot, a roly-poly defensive falling design, and automatic standing recovery after falling methods were developed. To allow the robot to determine its location in the containment building, a bar code landmark reading method was chosen. When a severe accident occurs, this robot will be useful for accident condition monitoring. We also anticipate the robot can serve as a workman aid in a high radiation area during normal operations.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2006.04a
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• pp.307-314
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• 2006

Missile system. which requires high speed/high maneuverability is getting more important as a defensive weapon system. Integrated design environment which includes all related resources during the missile development process, is a very useful development tool, Therefor the design framework can perform the operation analysis and utilize design information for the efficient missile design. For this purpose, various analysis computer codes under heterogeneous platforms and operating systems, the database, the optimization module, and Ideas a commercial CAD are integrated using distributed. middleware. and the complicated GUI design has been made for the specific missile system design. Under the various constraint, maximize missile range and loadfactor with missile design computer framework.

• Proceedings of KOSOMES biannual meeting
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• 2017.04a
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• pp.166-166
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• 2017

Nowadays, container transport services play a substantial role in global cargo transportation by serving as an intermodal between the exporter and importer. Container shipping has become increasingly important over the past few decades due to its obvious advantages. However, Vietnam's container market has shown severely ongoing competition among numerous domestic and foreign shipping lines resulting in serious consequences occurring such as the freight rates substantially decreasing within the last ten years. In fact, Vietnam's sea lanes have become more defensive to cover the losses of shipping companies. Selection of criteria for competitive evaluation of container transport companies is necessary to help recognize the problems within the enterprise especially relating to its position in the market and from here, business management are able to put strategic plans in place and reasonable policy in order to be able to survive and grow.

• The Journal of Korea Robotics Society
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• v.17 no.1
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• pp.86-92
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• 2022

Utilization of small robots in psychology and biology provides a new breakthrough in understanding the neurobiological mechanisms of various animal behavior. The expansion of robot use in animal research is partly due to increased availability of economically plausible mobile robots and also due to the current shift in animal research toward more ecologically valid experiments. Ground-breaking experimental findings are expected when the behavioral variables are manipulated in more natural situations. In addition, the results from laboratory could be generalized more easily with added ecological validity. The current paper attempts to review a wide range of applications of animal robots used to study animal behavior and to highlight major advantages and limitations. In particular, this review focuses more on the psychological impact of animal robots than engineering details about their structure and operation. Finally, this review will provide some practical considerations when employing robots in animal experiments.