• The KIPS Transactions:PartC
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• v.10C no.6
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• pp.727-738
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• 2003

Much research efforts are being exerted for the study of intrusion detection system(IDS). However little work has been for the communication medels and performance eveluation of the IDS. Here we present a communication framework for doing hybrid intrusion detection in which agents are used for local intrusion detections with a centralized data anaysis componenta for a global intrusion detection at multiple domains environment. We also assume the combination of host-based and network-based intrusion detection systems in the oberall framework. From the local domain, a set of information such as alert, and / or log data are reported to the upper level. At the root of the hierarchy, there is a global manager where data coalescing is performed. The global manager delivers a security policy to its lower levels as the result of aggregation and correlation of intrusion detection alerts. In this paper, we model the communication mechanisms for the hybrid IDS and develop a simular using OPNET modeller for the performance evaluation of transmission capabillities for the delivery of data and policy. We present and compare simulation results based on several scenarios focuding on communication delay.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.4
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• pp.750-760
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• 1994

In this paper we proposed a multiplexing scheme of real time and non-real traffics in which a congestion control is embedded. Real time traffics are assumed to be nonqueuable and have preemptive priority over non-real time traffics in seizing the common output link, whereas the non-real time traffics wait in the common buffer if the output link is not available for transmission. Real time traffics are encoded according to the bandwidth reduction strategy, paticularly when congestion occurs among non-real time traffics. This scheme provides us an efficient way for utilizing the costly bandwidth resources, by accommodation as many real time traffics as possible with gauranteeing its mimimum bandwidth requirements, and also resloving the congestion encountered among non-real time traffics. We describe the system as a Markov queueing system, provide the analysis by exploiting the matrix geometric method, and present the performance for various performance measures of interest. Some numerical results are also provided.

• Journal of KIISE
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• v.42 no.5
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• pp.621-628
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• 2015

The rapid growth of network technology makes the high-tech weapon. Thus, in the modern war, the ability to immediately use of the high-tech weapon is important. To realize this ability, continuous trainning is necessary but, this trainning spends many money. To improve the budget efficiency, Modeling and Simulation(M&S) are used. However, they seriously decrease the reality. Recently, the system which can support the combination of Live with Virtual simulation is on the rise. The typical example is L-V-C Environment and many kind of middleware which can support the L-V-C Envrionment are already proposed. Previous middleware can support the interoperability between different simulations but, it cannot completely interoperate three(Live, Virtual, Constructive) simulation environments. In this paper, to solve this problem, we propose the scheme which is combination between different middlewares. And we conduct the API mapping between HLA and DDS which are typical middleware and verify the scheme.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.1
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• pp.321-327
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• 2013

This paper aimed to find out the differences of DDK performances of 37 normally developing children in the range of 4-6 years. DDK tasks included with the Consonant-Vowel(CV) syllables and with the Vowel-Vowel(VV) syllables. For DDK rate, all spoken AMR and SMR in one second were measured by Multi-Speech, and analyzed with Motor Speech Profile for DDK regularity. Error frequency and type in DDK performance were transcribed and auditorily judged by two professional speech pathologists. The findings in this study were follow as: First, DDK rate became faster as the age of children were increased. But there were no statistical differences between the groups for age. Second, there was no significant differences the CV and VV syllables of DDK tasks. Third, the frequency of articulatory error in DDK performance was significantly higher in the age of 4 than other two groups.

• Journal of the Korea institute for structural maintenance and inspection
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• v.16 no.1
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• pp.35-43
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• 2012

In general, load carrying capacity, one of the load & resistance capacities in bridges, has more margins than the load carrying capacity evaluated with theoretical methods, unless there are severe damages, defects or material deterioration phenomena that can have a great impact on the behavior of bridges. However, errors have been already included in the current processes of loading tests and structural analysis for measuring load carrying capacity, thus devaluing the reliability of response adjustment factor. Therefore, this study found out the problems of existing electric resistance strain and displacement sensors in sensor suite to solve the problems with sensors and the errors in the appropriateness of structural analysis model, thereby leading to the changes into an optical fiber smart sensor with excellent performance. Besides, the study attempted to ensure the accuracy of response adjustment factor by selecting the optimal models through the interpretation of various structural analysis models.

• The KIPS Transactions:PartC
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• v.9C no.5
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• pp.783-788
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• 2002

Adaptive Cyclic Packet Dropping algorithm (ACPD), and Non-adaptive Cyclic Packet Dropping algorithm (NCPD) are applying stricter drop precedence than that of RIO algorithm. Especially, the ACPD algorithm drops adaptively packets for the congestion control, as predicting traffic pattern between each cycle. Therefore the ACPD algorithm makes up for the drawback of RIO algorithm and minimizes the wastes of the bandwidth being capable of predicting in the NCPD algorithm. And we executed a simulation and analyzed the throughput and packet drop rate based on Sending Priority changing dynamically depending on network traffic. In this algorithm, applying strict drop precedence policy, we get better performance on priority levels. The results show that the proposed algorithms may provide more efficient and stricter drop precedence policy as compared to RIO independent of traffic load. The ACPD algorithm can provide better performance on priority levels and keep stricter drop policy than RIO and the NCPD algorithm.

• Journal of the Earthquake Engineering Society of Korea
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• v.2 no.1
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• pp.79-93
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• 1998

The eigenvalue problem is presented for the building with added viscoelastic dampers by using component mode method. The Lagrange multiplier formulation is used to derive the eigenvalue problem which is expressed with the natural frequencies of the building, the mode components at which the dampers are added, and the viscoelastic property of the damper. The derived eigenvalue problem has a nonstandard form for determining the eigenvalues. Therefore, the problem is examined by the graphical depiction to give new insight into the eigenvalues for the building with added viscoelastic dampers. Using the present approach the exact eigenvalues can be found and also upper and lower bounds of the eigenvalues can be obtained.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.135-135
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• 2018

한강의 잠수교는 평상시에는 사람과 차의 통행이 가능하나 예측수위가 5.5m일 경우, 보행자통제, 6.2m일 경우, 차량통제를 실시한다. 잠수교는 국토교통부의 홍수예보 지점은 아니지만 그 특수성으로 인해 정확한 홍수위 예측을 통해 선행시간을 확보할 필요가 있다. 일반적으로 하천 홍수위 예측을 위해서는 강우-유출 모형과 하도추적을 위한 수리모형을 결합한 모델링이 요구되나 잠수교는 하류부 조위로 인한 배수 및 상류부 팔당댐 방류량의 영향을 받아 물리적 수리 수문모형의 구축이 상당히 제약적이다. 이에 본 연구에서는 딥러닝 오픈 라이브러리인 Tensorflow 기반의 LSTM 심층신경망(Deep Neural Network) 모형을 구축하여 잠수교의 수위예측을 수행한다. LSTM 모형의 학습과 검증을 위해 2011년부터 2017년까지의 10분단위의 잠수교 수위자료, 팔당댐의 방류량과 월곶관측소의 조위자료를 수집한 후, 2011년부터 2016년까지의 자료는 신경망 학습, 2017년 자료를 이용하여 학습된 모형을 검증하였다. 민감도 분석을 통해 LSTM 모형의 최적 매개변수를 추정하고, 이를 기반으로 선행시간(lead time) 1시간, 3시간, 6시간, 9시간, 12시간, 24시간에 대한 잠수교 수위를 예측하였다. LSTM을 이용한 1~6시간 선행시간에 대한 수위예측의 경우, 모형평가 지수 NSE(Nash-Sutcliffe Efficiency)가 1시간(0.99), 3시간(0.97), 6시간(0.93)과 같이 정확도가 매우 우수한 것으로 분석되었으며, 9시간, 12시간, 24시간의 경우, 각각 0.85, 0.82, 0.74로 선행시간이 길어질수록 심층신경망의 예측능력이 저하되는 것으로 나타났다. 하천수위 또는 유량과 같은 수문시계열 분석이 목적일 경우, 종속변수에 영향을 미칠 수 있는 가용한 모든 독립변수를 데이터화하여 선행 정보를 장기적으로 기억하고, 이를 예측에 반영하는 LSTM 심층신경망 모형은 수리 수문모형 구축이 제약적인 경우, 홍수예보를 위한 활용이 가능할 것으로 판단된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.239-239
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• 2019

상수도시설 중 배수관망시설은 해당 지역의 영향을 민감하게 받는 시설이므로 설계시 해당시설의 특성을 충분히 고려해야 한다. 배수시설은 설치된 해당지역에 따라 그 특성이 매우 다르기 때문에, 설계지표 또한 해당 도시마다 다르게 설정될 수 있다. 도시의 규모가 크거나, 그 특성이 해당 구역에 따라 다른 경우에는 같은 도시의 경우라도 대상구역에 따라 다른 지표를 사용하는 경우도 있다. 따라서 이런 상수도관망의 설계 및 관리를 위해서는 장기간 현장여건에 맞는 관측자료를 통한 정밀한 수리분석이 요구되며 국내의 경우 일반적으로 Hazen-Williams 공식을 사용하고, 이때 관내면의 마찰손실계수 C는 유속계수라 한다. 이러한 유속계수는 상수관로의 물리적 특성을 나타내며 관로 내의 흐름해석, 펌프 및 관로의 설계, 최적 운영 방안, 통수능력 및 관 노후도 평가 등에 사용되거나 영향을 미치는 중요한 요소라 평가되고 있다. 또한 다수의 현장 관측 자료를 확보하여도 분기 구간과 펌프 및 밸브 등으로 인한 손실 등의 오차가 발생하므로 유속계수 산정 시 발생되는 많은 오차들을 줄여 보다 신뢰성 있는 유속계수를 산정해야 하고, 현장 관측 자료를 이용하여 유속계수를 산정하기 어려운 구간에 대해서는 관망해석 모델링을 통하여 결정하고 있다. 본 연구에서는 전주권 광역상수도의 계통 특성에 맞는 관로의 유속계수를 결정하기 위해 관리주체에서 기존에 설치한 수압계와 유량계 및 관망도를 이용하여 기초자료를 수집하고 Hazen-Williams 공식을 이용하여 유속계수를 산정하였다. 계산된 상수관로 유속계수는 전주시의 10개 계통에서 최소 107.06, 최대 145.02, 평균 127로 계산되었으며, 유속계수에 영향을 미치는 물리적 요소들의 관계를 파악하고자 상관성 분석 실행하였다. 그 결과 관경과 경과년수의 상관계수 R은 0.011 관경과 유속계수의 상관계수는 -0.009로 두변수간의 상관성이 거의 없고, 경과년수와 유속계수의 상관계수는 -0.776로 음의 상관성을 갖는 것으로 분석되었다. 이와 같이 제시한 유속계수는 해당 지역의 참고자료나 기준으로서 활용할 수 있을 것으로 판단되며 비 대상 지역에서도 현장자료가 부족한 곳의 유속계수를 산정할 경우 보다 신뢰성 있게 유속계수를 산정할 수 있는 방법을 제시하고자 한다.

• Journal of the Korea Society for Simulation
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• v.26 no.3
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• pp.23-34
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• 2017

This paper is to study the simulation model of depot maintenance system that analyzes logistics supportability such as component availability and cost of target equipment. A depot maintenance system could repair or maintain multiple components simultaneously. The key performance indicators of this system are component availability, repair cycle time, and maintenance cost. The simulation model is based on the engine maintenance process of army aviation depot. This study combines the NOLH(Nearly Orthogonal Latin Hypercube) experimental design method, to composes 33 scenarios, with a multiple regression analysis to find out major factors that influence on key performance indicators. This study is significant in providing a cost-effectiveness analysis on depot maintenance system that is capable of maintaining multiple components at the same time.