• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.9
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• pp.92-99
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• 2013

As a recent cyber attack has a characteristic that is intellectual, advanced, and complicated attack against precise purpose and specified object, it becomes extremely hard to recognize or respond when accidents happen. Since a scale of damage is very large, a corresponding system about this situation is urgent in national aspect. Existing data center or integration security framework of computer lab is evaluated to be a behind system when it corresponds to cyber attack. Therefore, this study suggests a better sophisticated next generation convergence security framework in order to prevent from attacks based on advanced persistent threat. Suggested next generation convergence security framework is designed to have preemptive responses possibly against APT attack consisting of five hierarchical steps in domain security layer, domain connection layer, action visibility layer, action control layer and convergence correspondence layer. In domain connection layer suggests security instruction and direction in domain of administration, physical and technical security. Domain security layer have consistency of status information among security domain. A visibility layer of Intellectual attack action consists of data gathering, comparison, decision, lifespan cycle. Action visibility layer is a layer to control visibility action. Lastly, convergence correspond layer suggests a corresponding system of before and after APT attack. An introduction of suggested next generation convergence security framework will execute a better improved security control about continuous, intellectual security threat.

• Korean Chemical Engineering Research
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• v.57 no.2
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• pp.267-273
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• 2019

Hierarchically porous $Fe_2O_3$ nanofibers with meso- and macro- pores are designed and synthesized by electrospinning and subsequent heat-treatment. The macro pores are generated by selectively decomposition of polystyrene as a dispersed phase in the as-spun fibers containing $Fe(acac)_3$/polyacrylonitrile continuous phases during heat-treatment. Additionally, meso-pores formed by evaporation of infiltrated water vapor during electrospinning process interconnected the macro-pores and results in the formation of hierarchically porous $Fe_2O_3$ nanofibers. The initial discharge capacity and Coulombic efficiency of the hierarchically porous $Fe_2O_3$ nanofibers at a current density of $1.0A\;g^{-1}$ are $1190mA\;h\;g^{-1}$ and 79.2%. Additionally, the discharge capacity of the nanofibers is $792mA\;h\;g^{-1}$ after 1,000 cycles. The high structural stability and morphological benefits of the hierarchically porous $Fe_2O_3$ nanofibers resulted in superior lithium ion storage performance.

• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.5
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• pp.405-410
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• 2002

In this paper, fuzzy system modeling using new hierarchical structure is suggested for the complex and uncertain system. The proposed modeling technique Is to decompose the fuzzy rule base structure into the above-rule base and the sub-rule base. By applying hierarchical fuzzy rules, they can be used efficiently and logically. Also, hieratical fuzzy rules can improve the accuracy and the transparency of structure in the fuzzy system. The genetic algorithm is applied for optimization of the parameters and the structure of the fuzzy rules. To show the effectiveness of the proposed method, fuzzy modeling of the complex nonlinear system is provided.

• Journal of Information Management
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• v.35 no.3
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• pp.125-138
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• 2004

The purpose of this study is to propose a hierarchical user interfaces for browsing the knowledge structure of a single document. To generate the hierarchical knowledge structure, hierarchical term clustering and cluster representative term selection were performed with a single thesis in information science field, and the result was applied to design the interfaces which browse a single document hierarchically using multidimensional scaling. The interfaces can be applied to develop the user-friendly information retrieval system.

• Journal of KIISE:Computer Systems and Theory
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• v.30 no.10
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• pp.544-555
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• 2003

Since the result data from DNA microarray experiments contain a lot of gene expression information, adequate analysis methods are required. Hierarchical clustering is widely used for analysis of gene expression profiles. In this paper, we study leaf-ordering, which is a post-processing for the dendrograms output by hierarchical clusterings to improve the efficiency of DNA microarray data analysis. At first, we analyze existing leaf-ordering algorithms and then present new approaches for leaf-ordering. And we introduce a software HCLO(Hierarchical Clustering ＆ Leaf-Ordering Tool) that is our implementation of hierarchical clustering, some of existing leaf-ordering algorithms and those presented in this paper.

• Journal of Broadcast Engineering
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• v.6 no.3
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• pp.225-233
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• 2001

Real-time video communication applications over Internet should be able to support such functionality as scalability because of the unpredictable and varying channel bandwidth between server and client. To accommodatethe wide variety of channel bitrates, a new scalable coding tool, namely the Fine Granular Scalability (FGS) coding tool has been reduce the adopted In the MPEG-4 video standard. This paper presentsa new FGS algorithm with matching Pursuit that can reduce the computational complexity of ordinal matching pursuit-based algorithm. The Proposed coding algorithm can make trade-off between Picture Quality and computationalcomplexity. Our simulation result shows that the proposed algorithm can reduce the computational cumplexity up to 1/5 compared to the conventional FGS method while retaining a similar picture quality.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.04a
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• pp.479-482
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• 2001

인터넷에서 이질적인 QoS(Quality of Service)를 보장하기 위한 현재까지의 연구는 크게 망 차원에서의 자원 예약방법과 계층적 멀티캐스트를 이용한 적응 방법으로 구분된다. 첫번째 방법의 경우 RSVP(resource ReSerVation Protocol) 시그널링을 사용하므로 정량적인 QoS 보장은 가능하나 각 라우터에서 각 세션 플로우 상태 정보를 유지해야 하는 확장성 문제점이 있다. 두번째 방법의 경우 계층적 인코딩을 사용하여 응용 플로우를 여러 계층의 서브스트림으로 분리하고 각각을 멀티캐스트 채널을 통하여 전송한다. 그러나 이 메커니즘은 라우터가 각 계층간의 중요도를 인식할 수 없을 뿐만 아니라 멀티 캐스트 그룹 관리와 주소 할당 문제에 있어서 복잡성을 가진다. 본 논문에서는 제안된 메커니즘들의 문제점을 해결하고자 계층적 인코딩에 의해 생성된 스트림들간의 차별화를 통해 라우터에서 대역폭이 부족한 수신자에게는 기본적인 품질의 스트림만을 제공하는 반면에 대역폭이 충분한 수신자에게는 최상의 품질을 제공할 수 있는 이질적 QoS 방안을 제안한다.

• Journal of Convergence for Information Technology
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• v.10 no.7
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• pp.108-115
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• 2020

The purpose of this study is to identify the double mediating the effects of social support and self-esteem in the relationship between the subjective social class and the suicide thoughts of middle aged men and women. The subjective social class was analyzed in a parallel double-mediated model to check the mediating effect of self-esteem and social support on the idea of suicide. Social support and self-respect, which are mediating variables of subjective social class on suicide idea, both were a statistically significant. Putting the results of this study together, it is essential to establish a living-based social support system for middle-aged adults. This will contribute to improving self-esteem among middle-aged adults.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.166-168
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• 2003

문서 분할 기법은 문서 내에 존재하는 다양한 주제들을 자동적으로 추출하는 기법이다. 이 분야의 연구는 크게 사전적 관계에 근거한 기법과 통계적 데이터에 근거한 기법으로 나누어져 연구되어 왔다. 사전적 관계에 의한 기법은 단어들의 사전적 의미와 관계에 근거한 기법이고 통계적 데이터에 의한 기법은 주로 단어들의 분포를 이용한 기법이다. 여기에는 몇가지 문제점이 있는데 사전적 관계에 근거한 경우에는 분산된 주제들을 통합하여 추출하기 어렵고. 통계적 데이터에 근거한 기법은 정확한 주제의 개수를 찾기 어렵다는 점이다. 본 논문에서는 계층적 개념 트리를 이용하여 보다 정확한 개수의 주제들을 찾아낼 수 있는 문서 분할 기법에 대해 소개 하고자 한다.

• Korean Journal of Cognitive Science
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• v.2 no.1
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• pp.193-204
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• 1990

This paper discusses a reasoning model of information retrieval with a hierarchical thesaurus.The model computes the conceptual distance between a query and an object,both are indexed with weighted terms from a hierarchical thesaurus. The proposed model allows Boolean operators for user queries and edge weights for a hierarchical thesaurus. Experimental results have shown that the proposed model simulates, with surprising accuracy, people in the assessment of conceptual closeness between queries objects.