• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.5
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• pp.2553-2558
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• 2014

Military rotorcraft should be designed taking into account the condition of the fuel cell bullet impact. The internal fluid pressure, stress of metal fitting and fuel cell, bullet kinetic energy can be included as the design factor for the fuel cell. The best way to obtain the important design data is to conduct the verification test with actual product. But, the verification test requires huge cost and long-term effort. Moreover, there is high risk to fail because of the sever test condition. Thus, the numerical simulation is required to reduce the risk of trial-and-error together with prediction of the design data. In the present study, the bullet impact simulation based on SPH(smoothed particle hydrodynamics) is conducted with the commercial package, LS-DYNA. As the result of the numerical simulation, the internal pressure of fuel cell is calculated as 350~360MPa and the equivalent stress caused by hydro-ram effect is predicted as 260~350MPa on metal fittings.

• Journal of Korean Society of Transportation
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• v.23 no.2
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• pp.61-74
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• 2005

This study is to investigate the effects of driving anger and traffic congestion on drivers' behaviors. Driving anger is the propensity to become angry while driving, and people differ in the tendency to get angry when encountering frustration and provocation on the road. Individual differences of the propensity contribute to anger on the road and aggressive driving leading traffic vaiolations and accidents. In the experiment three traffic conditions (an open road condition, a bumper-to-bumper traffic condition and a being stuck behind a slower driver condition) were simulated and driving behaviors were collected with RTSA-DS(Road Traffic Safety Authority-Driving Simulator). The results were as follows: Most of high anger drives drove at higher speeds in an open road condition, and in the bumper-to-bumper condition they drove faster and had an higher crash rate, which suggests they did aggressive driving, and risky and unsafe behaviors.

• Journal of Aerospace System Engineering
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• v.15 no.5
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• pp.106-112
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• 2021

In this study, we performed a design and structural analysis of a blade-shaped antenna installation on the rear fuselage of a rotary wing aircraft operated by the military. When the structure is damaged while the aircraft is in operation, it is separated from the aircraft main structure and may collide with the rotor or blades to cause the aircraft to crash. Therefore, structural safety for the modified structure must be secured. The design requirement for the newly installed modified part were established, and the load condition was constructed by applying the load that may occur in the aircraft after the modification. Structure safety for the modified structure was secured by performing structure analysis. To analysis stress and deformation of aircraft structure, we developed finite element model and verified it by using hand calculation method. We confirmed the safety of the modified structure through the final structural integrity analysis.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.49 no.10
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• pp.829-839
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• 2021

Autonomous system for UAVs has a capability to decide an appropriate current action to achieve the goal based on the ultimate mission goal, context of mission, and the current state of the UAV. We propose a decision-making system that has an ability to operate ISR mission autonomously under the realistic limitation such as low altitude operation with high risk of terrain collision, a set of way points without change of visit sequence not allowed, and position uncertainties of the objects for the mission. The proposed decision-making system is loaded to a Hardware-In-the-loop Simulation environment, then tested and verified using three representative scenarios with a realistic mission environment. The flight trajectories of the UAV and selected actions via the proposed decision-making system are presented as the simulation results with discussion.

• International Area Studies Review
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• v.12 no.3
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• pp.89-109
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• 2008

Using hybrid channel affords the benefits of achieving control through the direct channel and achieving flexibility through the indirect channel. However, using a hybrid channel also poses special challenges to a manufacturer, including the problem of managing multiple channel members with disparate goals and priorities. The purpose of this study is to enhance our understanding on the management of hybrid channel. We study marketing channels for fashion apparel to examine governance challenges and solutions of a hybrid channel. We have two objectives to fulfill that purpose. First, we aim to tie two largely separate research streams of salesforce management and marketing channel management together by examining both intrafrim governance and interfirm governance issues under one conceptual framework. Second, we aim to lay a ground work for rigorous further research on this topic by tying two major theoretical approaches of governance together under one conceptual framework. Our predictions were tested with data from the survey of apparel manufacturers and retailers. The analysis results support the predictions moderately.

• Fire Science and Engineering
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• v.33 no.1
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• pp.113-120
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• 2019

The disaster and safety R&D budget has continued to increase since 2008, but the fire safety R&D budget is a small part. Therefore, successful outcomes that could lead to the economic growth of the fire safety industry have not been achieved. This paper suggests a fire safety R&D budget expansion, reinforcement of R&D capacity, and performance growing plan by analyzing the factors that affect the performance of a fire safety R&D project. Empirical analysis was performed through one-way ANOVA and regression analysis using the statistical program, SPSS statistics 21.0. As a result, this study suggests that the continuous expansion of R&D funds and the securing of excellent trained research manpower will be necessary to obtain qualitatively superior patents and papers.

• Explosives and Blasting
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• v.38 no.4
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• pp.37-45
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• 2020

Todo was an uninhabited island located in the sea of Pusan Newport. It was a small island with the height of 32 m above sea level, and its area including the submerged part was approximately 24,400 ㎡. Unfortunately, the island was located exactly in the middle of the narrow entrance way to the North and South Container Wharfs of Pusan Newport so that a number of ships had to turn quickly to avoid collision with the island, which frequently caused collisions with other ships or cranes. To avoid such a danger and make the water way wider and deeper, the Ministry of Oceans and Fisheries decided to remove the island. This was believed to make even super-large vessels operate safely in the sea of Pusan Newport so that the competitiveness of the port could be highly enhanced. This paper describes in detail the whole process of the removing work, which was the first case of successful underwater blasting operation using bulk emulsion explosives and non-electric detonators to remove a whole island in South Korea.

• Journal of the Institute of Convergence Signal Processing
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• v.21 no.1
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• pp.38-48
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• 2020

In order to inspect the existing or newly constructed ship's hull, a professional diver directly inspects the ship's bottom of the water. However, since it is a work done by people, there are many dangers such as human casualties and crashes. To solve this problem, it is necessary to develop underwater drones for ship inspection for visual inspection. The technology applied to underwater drones, the use and manufacturing process of each component, and the method of manufacture such as firmware development were described, and the difference was compared by measuring the drone's own driving ability and driving ability using crawler under water, and the location tracking device test confirmed the error from the actual location. It is estimated that the use of underwater drones produced through this research will prevent human casualties and achieve economic effects and stability.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.10
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• pp.353-362
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• 2022

The Russian-Ukraine war is accompanied by a military armed conflict and cyberattacks are in progress. As Russia designated Korea as an unfriendly country, there is an urgent need to prepare countermeasures as the risk of cyberattacks on Korea has also increased. Accordingly, impact of 19 cyberattack cases were analyzed by their type, and characteristics and implications were derived by examining them from five perspectives, including resource mobilization and technological progress. Through this, a total of seven measures were suggested as countermeasures for the Korean government, including strengthening multilateral cooperation with value-sharing countries, securing cyberattack capabilities and strengthening defense systems, and preparing plans to connect with foreign security companies. The results of this study can be used to establish the Korean government's cybersecurity policy.

• Journal of the Korea Society of Computer and Information
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• v.27 no.8
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• pp.61-68
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• 2022

In this paper, we propose a system to predict the GPS trajectory of a pedestrian based on a deep learning model. Pedestrian trajectory prediction is a study that can prevent pedestrian danger and collision situations through notifications, and has an impact on business such as various marketing. In addition, it can be used not only for pedestrians but also for path prediction of unmanned transportation, which is receiving a lot of spotlight. Among various trajectory prediction methods, this paper is a study of trajectory prediction using GPS data. It is a deep learning model-based study that predicts the next route by learning the GPS trajectory of pedestrians, which is time series data. In this paper, we presented a data set construction method that allows the deep learning model to learn the GPS route of pedestrians, and proposes a trajectory prediction deep learning model that does not have large restrictions on the prediction range. The parameters suitable for the trajectory prediction deep learning model of this study are presented, and the model's test performance are presented.