• Journal of the Korean Institute of Intelligent Systems
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• 제27권1호
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• pp.35-41
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• 2017

This paper presents the development of a monitoring and control system for a vehicle cluster using a model-based design technique. For MBD(model-based design), MATLAB GUI(Graphic User Interface), M programs, simulink, state flow, and tool boxes are used to monitor a number of data such as warning, interrupts, and etc. connected to a real vehicle cluster. As a monitoring tool, a PC(Personal Computer) station interworks with the real vehicle cluster through the interface commands of tool boxes. Thus, unlike existing text-based designs, the MBD based vehicle cluster system provides very easy algorithm updates and addition, since it offers a number of blocks and state flow programs for each functional actions. Furthermore, the proposed MBD technique reduces the required time and cost for the development and modification of a vehicle cluster, because of verification and validation of the cluster algorithm on the monitor through a PC.

• Journal of the Korea Academia-Industrial cooperation Society
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• 제11권10호
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• pp.3950-3957
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• 2010

Wireless sensor network is composed of sensor node with limited sources, and to maintain and repair is vexatious once made up. Accordingly it is important matter to maximize the network lifetime by minimizing the energy consumption in wireless sensor network, and utilizing the limited sources efficiently. In this paper, I propose a technique arranging the cluster number with efficiency in clustering method to optimize the energy consumption. The energy usage needed for wireless transmission varies in distance(threshold). This technique reduces the energy consumption considering the threshold when arranging the cluster number. I verify that the clustering method organized through the valid processes outperform the LEACH(Low-Energy Adaptive Clustering Hierarchy) in total energy consumption.

• Convergence Security Journal
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• 제11권6호
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• pp.25-30
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• 2011

MANET has a weak construction in security more because it is consisted of only moving nodes and doesn't have central management system. The DDoS attack is a serious attack among these attacks which threaten wireless network. The DDoS attack has various object and trick and become intelligent. In this paper, we propose the technique to raise DDoS detection rate by classifying abnormal traffic pattern. Cluster head performs sentinel agent after nodes which compose MANET are made into cluster. The decision tree is applied to detect abnormal traffic pattern after the sentinel agent collects all traffics and it judges traffic pattern and detects attack also. We confirm high attack detection rate of proposed detection technique in this study through experimentation.

• Journal of the Korea Academia-Industrial cooperation Society
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• 제13권1호
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• pp.382-389
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• 2012

The fabricated report attack will not only cause false alarms that waste real-world response efforts such as sending response teams to the event location, but also drains the finite amount of energy in a wireless sensor network. In this paper, we propose a probabilistic filtering method for sensor network security (PFSS) to deal with filtering for the fabricated report. On the basis of filtering scheme, PFSS combines cluster-based organization and probabilistic verification node assignment using distance of from cluster head to base station for energy efficiency and hot spot problem. Through both analysis and simulation, we demonstrate that PFSS could achieve efficient protection against fabricated report attack while maintaining a sufficiently high filtering power.

• Proceedings of the Korea Information Processing Society Conference
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• 한국정보처리학회 2016년도 추계학술발표대회
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• pp.529-532
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• 2016

본 논문은 기존의 TextRank 알고리즘에 상호정보량 척도를 결합하여 군집 기반에서 키워드 추출하는 ClusterTextRank 기법을 제안한다. 제안 기법은 k-means 군집화 알고리즘을 이용하여 문서들을 여러 군집으로 나누고, 각 군집에 포함된 단어들을 최소신장트리 그래프로 표현한 후 이에 근거한 군집 정보량을 고려하여 키워드를 추출한다. 제안 기법의 성능을 평가하기 위해 여행 관련 블로그 데이터를 이용하였으며, 제안 기법이 기존 TextRank 알고리즘보다 키워드 추출의 정확도가 약 13% 가량 개선됨을 보인다.

• Proceedings of the Korea Water Resources Association Conference
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• 한국수자원학회 2005년도 학술발표회 논문집
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• pp.558-561
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• 2005

강우자료의 빈도해석을 위해서 널리 사용되고 있는 지점빈도해석기법은, 우리나라와 같이 구축된 강우자료의 자료년수가 충분하지 못한 경우에 신뢰도가 떨어지는 결과를 가져올 수 있다. 이런 단점을 극복하기 위해서, 최근에는 수문학적인 성질이 서로 비슷한 지점을 하나의 지역으로 설정해서 빈도해석을 실시하는, 지역빈도해석기법이 널리 사용되고 있다. 본 논문에서는 지역빈도해석에 사용되는 군집해석(cluster analysis)에 관한 연구로서, 다목적 유전자알고리즘을 이용해서 군의 개수와 군집도간의 상호관계를 밝혀내고 이를 지역빈도해석에 적용해서 군집해석의 효율성 및 적용성을 높이고자 한 연구이다.

• Proceedings of the Korea Multimedia Society Conference
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• 한국멀티미디어학회 2002년도 추계학술발표논문집
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• pp.597-600
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• 2002

고 가용성 솔루션으로 IBM에서 내놓은 것이 HACMP이다. 이 HACMP는 두대 이상의 SYSTEM을 하나의 "cluster"로 묶어서, 각 시스템이 감시하고 있다가 한 대에 장애가 발생하면, 다른 시스템이 장애가 발생한 System의 자원을 "takeover"하는 것이다. 이 논문에서 제시하고자 하는 내용은 HACMP를 구축하는데, 쓰이는 기법 중 Mode 3의 특징들과 쓰임을 명확히 알 수 있도록 하였다. 그리고 지금현재 Mode 3 구축 기법을 이용해 HACMP를 사용중인 회사의 구축 후 장애 사례를 시스템, 네트워크 아답터, 네트워크 전체장애 별로 구분하여 나타내고 있다.체장애 별로 구분하여 나타내고 있다.

• Proceedings of the KAIS Fall Conference
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• 한국산학기술학회 2012년도 춘계학술논문집 1부
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• pp.205-208
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• 2012

2차 세계대전 이후 현대음악은 기존의 12음 기법을 유지하면서 이전과는 다른 음소재(音素材)나 작법(作法)이 출현하게 되었다. 이중 온음 이내의 좁은 음정간격에서 다수의 음이 나는 톤 클러스터(Tone Cluster)는 현대음악에서 작곡기법으로 사용되고 있다. 이러한 클러스터 보이싱은 재즈음악과 대중음악에서도 종종 사용되고 있으며 본 연구를 통해 다양한 클러스터 보이싱을 만들어 보고 적용시켜 보았다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• 제45권6호
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• pp.77-86
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• 2008

Traditional cluster-based routing method is a representative method for increasing the energy efficiencies. In these cluster-based routing methods, the selected cluster head collect/aggregate the information and send the aggregated information to the base station. But they have to solve the unnecessary energy dissipation of frequent information exchange between the cluster head and whole member nodes in cluster. In this paper, we minimize the frequency of the information exchange for reducing the unnecessary transmit/receive frequencies as calculate the overlapped area or number of overlapped member nodes between the selected cluster head and previous cluster head in the setup phase. And besides, we consider the direction of super cluster head for optimal cluster formation. So, we propose the modified cluster selection scheme that optimizes the energy dissipation in the setup phase and reuses the saved energy in the steady phase efficiently that prolongs the whole wireless sensor network lifetime by uniformly selecting the cluster head.

• Journal of Advanced Navigation Technology
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• 제14권4호
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• pp.495-503
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• 2010

The clustering is an important mechanism thai provides information for mobile nodes efficiently and improves the processing capacity for routing and the allocation of bandwidth. This paper proposes a clustering scheme based on the fuzzy relevance degree to solve problems such as node distribution found in the dynamic property due to mobility and flat structure and to enhance the routing performance. The proposed scheme uses the fuzzy relevance degree, ${\alpha}$, to select the cluster head for clustering in FSV (Fuzzy State Viewing) structure. The fuzzy relevance ${\alpha}$ plays the role in CH selection that processes the clustering in FSV. The proposed clustering scheme is used to solve problems found in existing 1-hop and 2-hop clustering schemes. NS-2 simulator is used to verify the performance of the proposed scheme by simulation. In the simulation the proposed scheme is compared with schemes such as Lowest-ID, MOBIC, and SCA. The simulation result showed that the proposed scheme has better performance than the other existing compared schemes.