• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.7
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• pp.1544-1550
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• 2010

There have been many researches applying GMDH for modelling nonlinear dynamic systems. However, these methods require a great amount of computation in return of the accuracy. Thus, in this paper, we propose a method to reduce the amount of computation in GMDH by adjusting the adopting criterion of input data in decrement while at least maintaining the accuracy. The simulation result verifies that the proposed method can successfully reduce the amount of computation without the expense of the error rate, if not significantly better.

• Journal of IKEEE
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• v.7 no.2 s.13
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• pp.253-259
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• 2003

In a good 3D engine, objects interactions are similar to those of real-world. Collision is one of the interactions. It includes whether collision took place or not, where collision took placed, and reaction after collision took place. More precise collision detection needs more time. If there exist required precision, detection time can be controlled by choosing appropriate detection model. Therefore, we need a selection mechanism for the collision detection with respect to required precision and detection time. In this paper, a collision detection model with seven different precision levels is examined. And relationship between detection time and precision is analyzed. Consequently, we propose a selection mechanism for collision detection model.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10c
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• pp.460-462
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• 2002

시스템 침입은 정보통신기술의 비약적인 발전에 따른 정보화의 역기능으로, 이론 해결하기 위한 다양한 방법들이 제안되어 왔다. 그러나 최근 침입 패러다임의 변화로 인해 기존 방법으로 해결하지 못하는 공격이 발생했으며, 그중 보안 시스템 우회나 보안 시스템 자체에 대한 공격은 기존 보안 도구를 무력화시킬 수도 있다. 본 논문에서는 이를 해결하기 위한 방법으로 고전적인 결함허용 기법을 응용한 결함허용 기능을 정의하고 이를 이용한 계층적 시스템 모델을 제안한다. 또한, 보안 시스템의 특성에 맞는 결함 허용 기능 선택을 위한 기준으로 비용 기반 선택 모델을 제안한다.

• Journal of KIISE:Software and Applications
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• v.41 no.8
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• pp.598-604
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• 2014

In this paper, we develop stepwise regression data envelopment model to select important variables. We formulate null hypothesis to understand the importance of each variable and use Kruskal-Wallis test for this purpose. If the Kruskal-Wallis test does reject the null hypothesis this will imply there is significant fluctuation in the efficiency score relative to base model. And therefore we have to further check the pair of variables that causes the fluctuation in order to determine its importance using Conover-Inman test. The proposed models helps understand the extent of misclassification decision making units as efficient/inefficient when variables are retained or discarded alongside provides useful managerial prescription to make improvement strategies.

• Applied Chemistry for Engineering
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• v.26 no.2
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• pp.234-238
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• 2015

The separation of nitrogen heterocyclic compound (NHC) contained in a model coal tar fraction was compared by the methanol and formamide extraction. The model coal tar fraction comprising four kinds of NHC (NHCs : quinoline, iso-quinoline, indole, quinaldine) and three kinds of bicyclic aromatic compound (BACs : 1-methylnaphthalene, 2-methylnaphthalene, dimethylnaphthalene), biphenyl and phenyl ether was used as a raw material. The aqueous solution of methanol and formamide were used as solvents. A batch-stirred tank was used as the raw material - a solvent contact unit of this work. Independent of the solvent used, the distribution coefficient of NHCs sharply increased by decreasing the initial volume ratio of water to the solvent and increasing the equilibrium operation temperature, whereas, the selectivity of NHCs in reference to BACs decreased. Decreasing the initial volume ratio of solvent to feed resulted in deteriorating distribution coefficients, but the selectivity of NHCs in reference to BAC was almost the constant. The distribution coefficient of NHCs by the methanol extraction was 3~5 times higher than that of NHCs by the formamide extraction, inversely, the selectivity of NHCs based on BACs by the formamide extraction was 3~7 times higher than that of NHCs by the methanol extraction. Furthermore, two different solvent extraction methods by adding the extraction processing speed to the balance between solvency and selectivity of NHCs were compared.

• Applied Chemistry for Engineering
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• v.25 no.2
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• pp.142-146
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• 2014

The separation of nitrogen heterocyclic compound (NHC) contained in a model coal tar fraction of nine components system was investigated by distribution equilibrium. The model coal tar fraction comprising NHC group (NHCs; indole (In), quinoline (Q), iso-quinoline (iQ), quinaldine(Qu)), bicyclic aromatic compound group (BACs; 1-methylnaphthalene (1MN), 2-methylnaphthalene (2MN), dimethylnaphthalene (DMN)), biphenyl (Bp) and phenyl ether (Pe) and the aqueous methanol were used as the raw materials and the solvent of this work, respectively. A batch-stirred tank was used as the liquid-liquid contact unit of this work. The distribution coefficient of NHCs increased by increasing the equilibrium operation temperature, whereas the selectivity of NHCs with respect to BACs decreased. Decreasing the initial volume ratio of water to the solvent resulted in deteriorating the selectivity of NHCs in reference to BACs, but improving the distribution coefficients of NHCs. At a fixed experimental condition, the sequence of the distribution coefficient and the selectivity with reference to BACs for each groups was increased in order of NHCs > Bp > BACs > Pe and NHCs > Bp> Pe, respectively. Also, the sequence of the distribution coefficient for entire compounds was in order of In > iQ = Q > Qu > Bp > 1MN = 2MN > Pe > DMN. The maximum yield of NHCs and the selectivity of NHCs based on BACs obtained by methanol extraction were 94 and 23%, respectively. Furthermore, the recovery process for NHCs from coal tar was studied by using the experimental results from this work.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.6
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• pp.145-152
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• 2010

Bayesian information criterion is used to do clustering for time series data. To acquire more stable clusters, multiple seeds are chosen first for the algorithm. Once clusters being set up, most similar time series data in the cluster to the one under consideration are to be chosen for prediction test. These chosen time series data are used to extract valid Markov rules by which we test the prediction accuracy. We confirmed that clustering with multiple seeds led to better prediction performance.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.3D
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• pp.381-389
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• 2009

Korean government is investing 1.8 billion won on infrastructure and investment on PPP projects constitutes 16.3%. This phenomenon is to promote private investment as well as lessening government burdens of public budgeting. However, the only criterion to be considered is government financial status in selecting public or private highway investment projects. So systematic decision support model is required in choosing public or private highway investment projects. So, this paper suggests a systematic decision support model for deciding public or private highway investment at the early stage of project planning. Furthermore, this paper identifies key decision variables with respect to economic, politic, project management criterions based on the related literatures and feedbacks from experts. This paper analyzed 30 cases of government investment and PPP projects and got the survey result from highway specialists. As a result, this paper presents an interval with respect to economic criteria using mean and standard deviation and a logistic regression equation which can predict the possibility of PPP project. Through this study, decision maker of central or local government can decide public or PPP highway project more systematically and reasonably.

• Journal of Convergence for Information Technology
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• v.8 no.5
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• pp.101-106
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• 2018

Software are being studied to register and manage assets. And Methods for evaluating software systems have been based on subjective evaluation criteria. We propose an evaluation model for evaluating complex assets obtained from the complexity measurement of the preceding asset management system. We used scales to measure and provide logical complexity to measure the complexity of our architectural assets. And we used a method to evaluate whether it expresses attribute value of architecture asset. We have also built an evaluation model criterion for evaluating the usability of the asset data based on the ISO/IEC 25010 quality model characteristics of the SQuaRE Series. When the designers design the asset as a composite asset, the optional evaluation of the negative property that weights are assigned according to the characteristics of each asset is applied to secure the flexibility of the evaluation model.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.14 no.1
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• pp.65-76
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• 2001

본 연구의 목적은 평판의 모서리 둔각이 135도까지를 갖는 재료적 비선형 경사평판을 해석하기 위해 C°-계층적 평판요소를 개발하는 것이다. 기하학적 변환을 통해 경사진 경계조건은 직각좌표계의 좌표변환을 이용하여 해결할 수 있다. 여기서, 경사경계는 경사진 변 전체 또는 경사교량의 교좌위치와 관련된 몇 개의 선택지점만을 고려할 수 있게 하였다. 이 목적을 위해 경사교량의 교좌장치의 이동방향을 설명할 수 있도록 1차 전단변형을 갖는 Reissner/Mindlin 평판이론에 기초를 둔 5-자유도 경사평판요소가 정식화되었다. 한편, 평판의 극한내하력을 추정하기 위해 von-Mises 항복기준에 기초를 둔 소성유동법칙을 갖는 증분소성이론이 채택되었다. 또한, ADINA 소프트웨어에 의한 h-version 모델과 제안된 p-version 모델을 사용하여 경사각, 경계조건과 하중의 변화에 따른 영향을 조사하였다. 해석결과는 이론값과 문헌에 보고된 수치해석값과 비교되었다. 자유도 수에 따른 정확도를 비교기준으로 한다면, 본 연구에서 제안된 해석모델은 지금까지 개발된 가장 효율적 도구의 하나라고 할 수 있다.