• Journal of the Korean BIBLIA Society for library and Information Science
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• v.15 no.1
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• pp.23-41
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• 2004

In indexing and organizing Web resources, there have been two basic methods: automatic indexing by extracting key words and library classification schemes or subject directories of search engines. But, both methods have failed to satisfy the user's information needs, due to the lack of standard criteria and the irrationality of its structural system. In this paper I have examined the limits of library classification scheme's structures and the problems related to the nature of Web resources such as specificity and exhaustivity. I have also attempted to explain the logicality of Web resources organization by facet analysis and its strengths and limitations. In so doing, I have proposed three specific methods in using facet analysis: firstly, indexing system by facet analysis; secondly, the alternative transformation of the enumerative classification scheme into facet classification scheme; and finally, the facet model of subject directory of domestic search engine. After examining the three methods, my study concludes that a controlled vocabulary by facet analysis can be employed as a useful method in organizing Web resources.

• Journal of KIISE:Databases
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• v.31 no.1
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• pp.1-12
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• 2004

As network systems are developed rapidly and network architectures are more complex than before, it needs to use PBNM(Policy-Based Network Management) in network system. Generally, architecture of the PBNM consists of two hierarchical layers: management layer and enforcement layer. A security policy server in the management layer should be able to generate new policy, delete, update the existing policy and decide the policy when security policy is requested. And the security policy server should be able to analyze and manage the alert messages received from Policy enforcement system in the enforcement layer for the available information. In this paper, we propose an alert analyzer using data mining. First, in the framework of the policy-based network security management, we design and implement an alert analyzes that analyzes alert data stored in DBMS. The alert analyzer is a helpful system to manage the fault users or hosts. Second, we implement a data mining system for analyzing alert data. The implemented mining system can support alert analyzer and the high level analyzer efficiently for the security policy management. Finally, the proposed system is evaluated with performance parameter, and is able to find out new alert sequences and similar alert patterns.

• Journal of KIISE
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• v.45 no.3
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• pp.294-302
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• 2018

With the emergence of the new service industry due to the development of information and communication technology, cyber space risks such as personal information infringement and industrial confidentiality leakage have diversified, and the security problem has emerged as a critical issue. In this paper, we propose a behavior-based anomaly detection method that is suitable for real-time and large-volume data analysis technology. We show that the proposed detection method is superior to existing signature security countermeasures that are based on large-capacity user log data according to in-company personal information abuse and internal information leakage. As the proposed behavior-based anomaly detection method requires a technique for processing large amounts of data, a real-time search engine is used, called Elasticsearch, which is based on an inverted index. In addition, statistical based frequency analysis and preprocessing were performed for data analysis, and the DBSCAN algorithm, which is a density based clustering method, was applied to classify abnormal data with an example for easy analysis through visualization. Unlike the existing anomaly detection system, the proposed behavior-based anomaly detection technique is promising as it enables anomaly detection analysis without the need to set the threshold value separately, and was proposed from a statistical perspective.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.197-206
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• 2019

The purpose of this study is to identify trends of academic research on senior employment projects. For this aim, research results were collected from keyword searches utilizing academic search engines, and a total of 133 research studies were selected as analysis subjects. Then, we analyzed research trends such as sources, research themes, research methods, and research subjects using the content analysis method,. According to the results, the leading type of senior employment research was quantitative research that confirmed the effects of projects by targeting the elderly participants. On the other hand, there were relatively few cases in which philosophical and ethical reviews were used to understand the labor and social roles of the elderly in connection with senior employment projects. Based on these research trends, this study criticized the situation where not only a variety of main participants but also the elderly taking part in the senior employment project were excluded from the main concern of research and suggested that it was necessary for follow-up studies to emerge from these trends.

• 한국연소학회:학술대회논문집
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• 2003.05a
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• pp.51-55
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• 2003

In this research, authors tried to measure the shape of the nozzle throat of KL-3 engines, which is the main engine of KSR-III rocket, to find the increase of nozzle area caused by the thermal ablation. For the purpose, we invented an image-based method instead of the 3D pointer, which is actually inaccessible to such large scale engines. As a result, our equipment showed satisfactory accuracy and performance. Analysing the results of experiments, we find that the pattern of ablation is determined by the spray pattern and that the process of thermal ablation phenomena can be categorized in three regimes - the first regime that the shape of nozzle throat is maintained and ablation is negligible, the second regime that saw-tooth form is developed and ablation is accelerated, and the third regime that the saw-tooth form is already established and the growth of ablation rate is reduced. Also, we find that the ratio of area increase after 60 seconds combustion is +5.82% and conclude that this figure is acceptable and satisfactory.

• The Journal of Korean Association of Computer Education
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• v.9 no.3
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• pp.121-128
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• 2006

This study suggested the new e-learning systems based on agent to provide an adaptable learning. In Semantic Web environment, to develop an ontology and an intelligent agent is essential for an adaptable e-learning systems. Especially, to develop a reasoning engine using analysis of learning content and learners' information can offer an effective e-learning system. Therefore, we developed an applying model to an adaptable e-learning systems and the various ontologies for Semantic Web environment. Moreover, we analyzed and developed ontologies within the framework of learning domain, a learner and interface. Further, we implemented an intelligent e-learning for applying an agent's reasoning. Through this system proposed, we suggested the new e-learning systems model for Semantic Web environment.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.4
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• pp.941-951
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• 2016

Limitation of fossil energy from one side and the efficiency of the electrical engine from another side motivate the industrials to encourage people for utilizing electric vehicles (EVs). To decrease the cost of EVs, the size of battery should be reduced which causes an inconvenient frequent recharging. Wireless charging is a solution for charging of electric vehicles on the move, but frequent charging causes to disclose users' location information. In this paper, we first propose an infrastructure for wireless charging of electric vehicles, and then we explain security issues that can be stated in this condition.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.737-740
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• 2006

With the development of internet diffusion, digital contents industries has been growing with various forms such as game, animation, e-learning etc.. Considering that digital contents industry is the part of national growth engine, it is very important to make decision over technology development direction based on commercialization premises. This paper tries to give practical help over industries and academia through details industry analysis and assessment. The part of assessment tools which was originated from Standford Research Institute has been applied to compare and analyze the details industries.

• Proceedings of the Materials Research Society of Korea Conference
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• 2009.11a
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• pp.51-51
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• 2009

Ni 기 초내열합금은 원자력 발전설비의 열교환기용 재료를 비롯한 발전용 가스터빈, 제트엔진, 화학공장용 튜브 및 파이프재료 등 우수한 고온 기계적 특성 및 고온 내식성을 요구하는 각종 부품재에 광범위하게 이용되고 있다. Al 확산침투처리는 Ni기 초내열합금에 Al 혼합분말을 이용하여 금속간합화물을 코팅함으로써 고온산화특성 향상에 효과적인 방법이다. 본 연구에서는 Al 확산침투처리를 통하여 Inconel 617 표면에 Aluminide 코팅층을 형성함으로써 고온 내산화특성을 향상시키고자 하였다. Al 확산침투처리는 Al :$Al_2O_3$ : $NH_4Cl$ = 15g : 83g : 2g(wt.%)의 비율의 혼합분말을 사용하여 $900^{\circ}C$에서 1 시간 동안 Ar 분위기에서 수행되었다. Al 확산침투처리 후 $950^{\circ}C$에서 1000 시간 동안 air 분위기에서 열화시험을 수행하였다. Al 확산침투처리 후 고온열화를 통해 고온산화특성을 평가였으며, 고온 열화에 의해 형성된 코팅층의 석출물과 계면상의 상분석을 수행하였다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.32 no.3
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• pp.88-94
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• 2004

The KSR-III rocket is a liquid propellant sounding rocket and thrust vector control actuators and cold gas thrusters are used to control pitch and yaw, roll attitude respectively during thrusting phase. In this paper, the structure of designed attitude controller and gain scheduling, results of stability analysis for KSR-III rocket are presented. The attitude controller is implemented with flight software in the domestically developed INS and successfully performed its function in the flight test. The flight data are coincident with simulation results.