• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2003.12a
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• pp.121-127
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• 2003

본 논문에서는 Internet Service Provider(이하 ISP)의 네트워크에 위험이 발생할 경우 위험의 출현으로 인한 ISP의 자산손실을 추정하는 방법을 제안한다. ISP의 네트워크를 구성하는 자산들의 가치를 서비스 측면에서 분석하고, 개별 자산이 생산하는 서비스 가치를 근사할 수 있는 방법론을 제시함으로써 네트워크의 장애로 인한 손실액을 추정 가능함을 보인다. 또한, 네트워크의 부하 분산, 우회 경로 및 백업 시스템 등 서비스 연속성을 확보를 위한 잉여 설계가 있을 경우, 자산가치 특성함수를 사용한 손실액 추정모델을 제안한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.3
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• pp.416-420
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• 2002

Traditional queueing analyses are very useful for designing a network's capacity and predicting there performances, however most of the predicted results from the queueing analyses are quite different from the realistic measured performance. And recent empirical studies on LAN, WAN and VBR traffic characteristics have indicated that the models used in the traditional Poisson assumption can't properly predict the real traffic properties due to under estimation of the long range dependence of network traffic and self-similarity In this parer self-similar characteristics over statistical approaches and real time network traffic measurements are estimated It is also shown that the self- similar traffic reflects network traffic characteristics by comparing source model.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.05a
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• pp.104-107
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• 2002

Traditional queueing analyses are very useful for designing a network's capacity and predicting there performances, however most of the predicted results from the queueing analyses are quite different from the realistic measured performance. And recent empirical studies on LAN, WAN and VBR traffic characteristics have indicated that the models used in the traditional Poisson assumption can't properly predict the real traffic properties due to under estimation of the long range dependence of network traffic and self-similarity. In this paper self-similar characteristics over statistical approaches and real time network traffic measurements are estimated. It is also shown that the self-similar traffic reflects network traffic characteristics by comparing source model.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.4
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• pp.530-536
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• 2008

Localization is one of the fundamental problems in wireless sensor networks (WSNs) that forms the basis for many location-aware applications. Localization in WSNs is to determine the position of node based on the known positions of several nodes. Most of previous localization method use triangulation or multilateration based on the angle of arrival (AOA) or distance measurements. In this paper, we propose an enhanced centroid localization method based on edge weights of adjacent nodes using fuzzy modeling and genetic algorithm when node connectivities are known. The simulation results shows that our proposed centroid method is more accurate than the simple centroid method using connectivity only.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.563-565
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• 2003

기업 업무의 절차와 규모가 복잡해지고 증가함에 따라 한 사람이 기업의 모든 업무 프로세스를 모델링하고 관리하는 것이 어려워지고 있다. 기존의 Workflow 모델링 방식은 프로세스 정의를 한 명(또는 소수)의 디자이너가 맡아 왔다. 그러나 스윔레인 같은 롤 기반의 프로세스 모델링은 각 롤에 해당하는 디자이너 그룹이 프로세스를 정의하기 때문에 모델링 작업을 단순화 시킬 수 있다. 본 논문에서는 워크플로우 모델링 방식과 다른 역할 기반의 스윔레인 모델링을 바탕으로 그룹웨어기술을 접목 시켜 기업의 업무 프로세스를 보다 효율적으로 정의할 수 있는 실시간 협업 지원 협동 스윔레인 워크플로우 모델링 시스템 아키텍처를 제시한다. 이벤트 방식의 화면 처리는 네트워크 트래픽 및 오버 헤드를 감소 시킬 수 있다. 또한 분리된 어플리케이션이 비동기적으로 신뢰성 있게 통신할 수 있도록 메시징 시스템을 도입하고, 협업간 투명성(Transparency)을 보장하는 가상 협업 서버 구조를 살펴 볼 것이다. 이러한 것들은 향후 분산환경으로의 발판을 이를 수 있다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.17 no.5
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• pp.73-86
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• 2007

Numerous types of models have been developed in recent years in response to the cyber threat posed by worms in order to analyze their propagation and predict their spread. Some of the most important ones involve mathematical modeling techniques such as Epidemic, AAWP (Analytical Active Worm Propagation Modeling) and LAAWP (Local AAWP). However, most models have several inherent limitations. For instance, they target worms that employ random scanning in the entire nv4 network and fail to consider the effects of countermeasures, making it difficult to analyze the extent of damage done by them and the effects of countermeasures in a specific network. This paper extends the equations and parameters of AAWP and LAAWP and suggests ALAAWP (Advanced LAAWP), a new worm simulation technique that rectifies the drawbacks of existing models.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.3
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• pp.285-290
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• 2006

In this paper we propose a novel personalized paper search system using the relevance among user's queried keywords and user's behaviors on a searched paper list. The proposed system builds user's individual relevance network from analyzing the appearance frequencies of keywords in the searched papers. The relevance network is personalized by providing weights to the appearance frequencies of keywords according to users' behaviors on the searched list, such as 'downloading,' 'opening,' and 'no-action.' In the experimental section, we demonstrate our method using 100 users' search information in the University of Suwon.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.7
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• pp.817-822
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• 2005

Recently tile study that exploits visual information for tile services of robot in indoor environments is active. Conventional image processing approaches are based on the pre-defined geometric models, so their performances are likely to decrease when they are applied to the uncertain and dynamic environments. For this, diverse researches to manage the uncertainty based on the knowledge for improving image recognition performance have been doing. In this paper we propose a Bayesian network modeling method for predicting the existence of target objects when they are occluded by other ones for improving the object detection performance of the service robots. The proposed method makes object relationship, so that it allows to predict the target object through observed ones. For this, we define the design method for small size Bayesian networks (primitive Bayesian netqork), and allow to integrate them following to the situations. The experiments are performed for verifying the performance of constructed model, and they shows $82.8\%$ of accuracy in 5 places.

• Proceedings of the KIPE Conference
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• 2016.07a
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• pp.379-380
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• 2016

본 논문에서는 Z-소스 네트워크 기반의 배터리 시뮬레이터의 전압 제어기 설계를 위한 소신호 모델링을 수행하고 보드선도를 이용한 안정도 분석을 통한 전압 제어기 설계 방법을 제안하였다. 이를 통하여 인덕턴스와 커패시턴스에 따라 변하게 되는 시스템의 주파수 응답 특성을 고려하여 Z-소스 네트워크 기반의 배터리 시뮬레이터가 안정적으로 동작하도록 하는 전압 제어기의 제어 이득값을 선정하였다. 제안한 방법은 MATLAB을 이용한 안정도 분석을 통하여 검증되었다.

• Journal of Internet Computing and Services
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• v.4 no.2
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• pp.39-45
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• 2003

Throughput response characteristics depending on the network bandwidth allocation is needed to be modeled to devise adaptive control mechanism to support QoS of the local network. In this study, we propose a dynamic system model that reveals the response characteristics of network. The adaptive traffic feedback control is applied to this model. And we simulate this system for optimization of adaptive control mechanism.