• The KIPS Transactions:PartD
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• v.19D no.1
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• pp.95-104
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• 2012

The main purpose of this paper is to propose the direction of financial IT development in macro-perspective. And it also shows a theoretical basis on the financial IT system that will be progressed with regard to an empirical model on the basis of the transformation process of the domestic financial IT environment for the future. In the process, this research produces and analyzes the meaningful patterns that have a significant influence on the financial IT development for 40 years, and attempts to backtrack the life-cycle of the core-banking model. This paper can be summarized as follows: Firstly, I analyzed the life-cycle of financial IT system in Korea per 10years. Secondly. The life-cycle of core-banking model is analyzed by 11years on the average and the one of the long term model by 33years. Thirdly, from the earlier days, the models of a long-term survival core-banking have been designed and developed through the objective analysis and bench-marketing. Lastly, the financial IT field should be developed into the integrated industry, and systematization of core-banking model studies and more professionals need to be extended. This research has contributed to provide the new frameworks through the analysis of the core-banking model that has not studied obviously for a long time. The paper involves two related sections, the first section deals with the significance of backtracking in core-banking model and also focuses on the key components from the perspective of financial IT management strategies. Based on the process, the second section figures out the life-cycles of actual core-banking model.

• Journal of Advanced Marine Engineering and Technology
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• v.34 no.5
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• pp.645-652
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• 2010

The aim of this investigation was study on the non-evaporation diesel spray characteristics injected through a common-rail diesel injector under various ambient pressure. The diesel spray was investigated with observation of macroscopic characteristics such as spray tip penetration and spray cone angle by the shadowgraph and the image processing method. The numerical study was conducted using a computational fluid dynamics code, AVL-FIRE. The breakup models used were WAVE model and standard $k-{\varepsilon}$ turbulence model was applied. The numerical study used input data which spray cone angle and fuel injection rate was achieved by Zeuch's method. Comparison with experimental result such as spray tip penetration was good agreement. Distribution of droplet diameter were conducted on four planes where the axial distances were 5, 15, 39 and 49mm respectively downstream from the orifice exit.

• Journal of Korea Society of Industrial Information Systems
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• v.19 no.1
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• pp.53-60
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• 2014

IEEE 802.15.4 is one of the most widely adopted physical layer standards in the area of LR-WPAN(Low-Rate Wireless Personal Area Network). Numerous previous researches have contributed to deep insights on energy efficiency, transmission throughput, and reliability that IEEE 802.15.4 delivers to the LR-WPAN. As a research that is orthogonal and complementary to previous researches, we explore the implementation and practical performance evaluation of IEEE 802.15.4 MAC software. We implement the MAC software from the perspective of the networking stack, exploring the issues raised when the MAC software serves as a functional component in a complete networking stack consisting of MAC, network as well as well as application support layers. The performance is evaluated on a realistic experimental software environment integrated with operating system, networking stack, and applications.

• Convergence Security Journal
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• v.8 no.4
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• pp.173-181
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• 2008

Recently, Worm epidemic models have been developed in response to the cyber threats posed by worms in order to analyze their propagation and predict their spread. Some of the most important ones involve mathematical model techniques such as Epidemic(SI), KM (Kermack-MeKendrick), Two-Factor and AAWP(Analytical Active Worm Propagation). However, most models have several inherent limitations. For instance, they target worms that employ random scanning in the network such as CodeRed worm and it was able to be applied to the specified threats. Therefore, we propose the probabilistic of worm propagation based on the Markov Chain, which can be applied to cyber threats such as Mass SQL Injection worm. Using the proposed method in this paper, we can predict the occurrence probability and occurrence frequency for each threats in the entire system.

• Journal of Korea Port Economic Association
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• v.33 no.2
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• pp.83-96
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• 2017

As a way to address global warming, among the renewable energy sources, there have been heavy investments worldwide for the development of offshore wind farms. However, such development has a drawback: investment costs are higher than those for onshore wind farms due to required operations such as offshore transportation and installation. In particular, delays in installation due to adverse maritime weather conditions are factors that affect the economics of offshore wind farms' operation. Therefore, in this study, we analyze the optimal schedule of the construction of an offshore wind farm from a macro perspective by considering the weather conditions in Korea. For this purpose, we develop a mathematical model and apply it to a 2.5 GW offshore wind farm project on the southwestern coast of the country. We use data from the Korea Meteorological Agency for maritime weather conditions and attempt to reflect the actual input data based on precedent cases overseas. The results show that it takes 6 months to install 35 offshore wind turbines. More specifically, it is pointed out that it is possible to minimize costs by not working in winter.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.2
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• pp.113-120
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• 2024

The population sparseness index(PSI) is being utilized to describe the functioning of internal layers in artificial neural networks from the perspective of neurons, shedding light on the black-box nature of the network's internal operations. There is research indicating a positive correlation between the PSI and performance in each layer of convolutional neural network models for image classification. In this study, we observed the internal operations of a convolutional neural network when adversarial examples were applied. The results of the experiments revealed a similar pattern of positive correlation for adversarial examples, which were modified to maintain 5% accuracy compared to applying benign data. Thus, while there may be differences in each adversarial attack, the observed PSI for adversarial examples demonstrated consistent positive correlations with benign data across layers.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.1361-1364
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• 2009

최근 몇 년동안 지속가능하고 효과적인 수자원 관리는 전체적인 접근방법이 요구되고 있으며, 사회와 경제발전과 생태계 보호 및 토지이용과 수자원 이용의 적절한 관리와 연결된 개념이 필요하다. 이러한 관점에서 유역을 간단한 고정된 지역적인 문제라고 생각하는 것보다 전체로서의 유역 기능을 개선하는데 노력이 필요하다. 또한 사회와 경제발전으로 인해 도시화, 여가 관광지역 및 사회기반시설의 확장 그리고 자연환경의 변화가 발행하고 있다. 효과적인 토지이용 배분과 자연지역의 보호도 중요하지만 잠재적인 홍수피해 저감도 중요한 문제이다. 토지이용의 변화는 많은 이해관계자들로부터 유발되는 문제이기 때문에 거시적인 관점에서 고려되어야 한다. 본 논문은 다양한 관계자와 자연환경과의 연결과 상호작용 유형을 이해하고 다양한 정책선택과 자연환경 상태가 토지이용 변화에 미치는 영향을 이해하고자 한다. 인간의 활동으로 인해 발생하는 토지이용의 변화를 모의하기 위해서 행위자기반모형(Agent based Model, ABM)으로 접근하고자 한다. ABM은 유역관리의 이해당사자간의 정책과정을 도출하고 다양한 유역관리 대안을 평가하기 위해서 홍수위험, 자연개발 및 비용과 같은 유역관리의 영향을 설명하는 통합된 유역모델이다. 여기서 토지이용은 경제적, 지형학적 상황, 공간계획 및 홍수방어정책에 좌우되며, 토지의 속성과 규칙을 통해 토지이용이 선택되게 된다. 본 모형을 통해 공간적으로 분포된 행위자의 운영을 기반으로 종합적인 토지이용 패턴을 분석하였다, 이를 통해 토지이용 결정에 영향을 주는 인자를 추정하여 통합홍수관리 목적에 맞는 관리 대책의 결정 및 설계를 가능토록 하였다.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2009.11a
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• pp.409-412
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• 2009

A 75ton thrust turbopump system for liquid rocket engine was analyzed thermally and mechanically. A 2D axisymmetric model of the turbopump assembly was created. In the analysis operation cycle including chill-down, operation and post operation steps were considered. Appropriate heat transfer conditions for each step were modeled and applied. Transient temperature distribution was calculated, consequent mechanical analysis was conducted to predict stress and deformation. Effects of external heat insulators and heat dissipation at the bearings were considered in the heat transfer analysis.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.6
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• pp.464-468
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• 2009

In this paper we propose an image-based approach, which is different from the traditional flow cytometric method to detect shape of apoptosis cells. This method can overcome the defects of cytometry and give precise recognition of apoptosis cells. In this work K-means clustering was used to do the rough segmentation and an active contour model, called 'snake' was used to do the precise edge detection. And then some features were extracted including physical feature, shape descriptor and texture features of the apoptosis cells. Finally a Mahalanobis distance classifier classifies the segmentation images as apoptosis and non-apoptosis cell.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.39 no.8
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• pp.711-718
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• 2011

The thermoelastic behavior of the porous carbon/phenolic composites is studied using the thermomechanical response model of chemically decomposing composites. The model includes thermal dependence of the porous composites, porosity in the pyrolysis process, pore pressure due to decomposing gases, and shrinkage. The poroelastic coefficients are calculated based on representative volume element model and finite element analysis. The internal stress distribution caused by pores and pore pressure, and the overall deformation are verified. The effects of the poroelastic coefficients on the thermoelastic behavior are examined through numerical experiments.