• Title/Summary/Keyword: quantitative models

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Ion Exchange Modeling in ETA and NH$_3$ Aqueous Solutions (ETA 및 암모니아 수용액에서 이온교환 모델링)

  • 안현경;김상대;이인형
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.4 no.3
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    • pp.307-311
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    • 2003
  • The test did for the determine the optimized ratio of cation to anion in mixed ion exchange demineralizers. Binary, ternary, quaternary, and quinary cation and anion adsorption was performed to develop a comprehensive experimental data set from small-volume batch tests to obtain the selectivity coefficients of many cations and anions. The quantitative run time might be estimated by such ion exchange models as semi-empirical mass action and surface complexation models. The demineralizer can be used longer by increasing the ratios of cation to anion exchange resins in the bed.

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Quantitative Approaches for Agricultural and Rural Policy Evaluation (농업.농촌정책평가를 위한 정량적 분석모형 연구)

  • Lee, Seong-Woo;Yun, Seong-Do
    • Journal of Korean Society of Rural Planning
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    • v.14 no.4
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    • pp.97-108
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    • 2008
  • The present study construct a new technique that can evaluate diverse rural policies, which have been applied to the rural development programs at the village level. The method incorporates spatial econometrics models with a decomposition method that has little been utilized before. We applies the technique to evaluate the rural development programs that have been carried out by the Korea Forest Service and. Korea Rural Development Agency. The technique proved to be quite useful in that the technique efficiently separate the direct effect caused by the government policy from the effect explained by the endowment effect such as regional or area characteristics, and residual effect that cannot be identified by the models. The present study concludes with suggesting more quantitative methods need to be developed to evaluate diverse government policy programs, which enables us to discern correct policy effects.

Quantitative Structure Activity Relationship between Diazabicyclo-[4.2.0]octanes Derivatives and Nicotinic Acetylcholine Receptor Agonists

  • Kim, Eun-Ae;Jung, Kyoung-Chul;Sohn, Uy-Dong;Im, Chae-Uk
    • The Korean Journal of Physiology and Pharmacology
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    • v.13 no.1
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    • pp.55-59
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    • 2009
  • Three dimensional quantitative structure activity relationship between diazabicyclo[4.2.0]octanes and nicotinic acetylcholine receptor($h{\alpha}4{\beta}2$ and $h{\alpha}3{\beta}4$) agonists was studied using comparative molecular field analysis(CoMFA) and comparative molecular similarity indices analysis(CoMSIA). From 11 CoMFA and CoMSIA models, CoMSIA with steric and electrostatic fields gave the best predictive models($q^2=0.926$ and 0.945, ${r^2}_{ncv}=0.983$ and 0.988). This study can be used to develop potent $h{\alpha}4{\beta}2$ receptor agonists with low activity on $h{\alpha}3{\beta}4$ subtype.

Wooden framed structures with semi-rigid connections: Quantitative approach focused on design needs

  • Santana, C.L.O.;Mascia, N.T.
    • Structural Engineering and Mechanics
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    • v.31 no.3
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    • pp.315-331
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    • 2009
  • Mechanical connections are recognized as extremely important elements in the aspect of strength and structural safety. However, classical structural model does not consider the connection stiffness properties, and are based on models with pinned or rigid joints only. In fact, mechanical connections are deformable and behave not linearly, affecting the whole structure and inducing nonlinear behavior as well. The quantification of this effect, however, depends on the description of the working of the connectors and the wood response under embedment. The theoretical modeling of wood structures with semi-rigid connections involves not only the structural analysis, but also the modeling of both single and grouped moment resisting connectors and the study of the wood properties under embedment. The proposal of this paper is to approach these aspects, and to quantitatively study the influence of the moment resistant connection in wooden framed structures. Comparisons between rigid and semi-rigid connections and between linear and nonlinear analysis lead to quantitative results.

A Study on the Application of Combined Interpolation and Terrain Classification in Digital Terrain Model (수치지형모형에 있어 지형의 분석과 조합보관법의 적용에 관한 연구)

  • Yeu, Bock-Mo;Park, Woon-Yong;Kwon, Hyon;Mun, Du-Yeoul
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.8 no.2
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    • pp.53-61
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    • 1990
  • In this study, terrain classification was done by using the quantitative classification parameter and suitable interpolation method was applied to improve the accuracy of digital terrain models and to increase its practical applications. A study area was classified into three groups using the quantitative classification parameters and an interpolation equation suitable for each group was used for economical application of the interpolation method. The accuracy of digital terrain models was improved in case of large grid intervals by applying combined interpolation method suitable for each terrain group.

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Probabilistic Risk Assessment Techniques for the Risk Analysis of Construction Projects (건설공사의 위험도분석을 위한 확률적 위험도 평가)

  • 조효남;임종권;박영빈
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1997.04a
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    • pp.27-34
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    • 1997
  • In this paper, systematic and comprehensive approaches are suggested for the application of quantitative PRA techniques especially for those risk events that cannot be easily evaluated quantitatively In addition, dominant risk events are identified based on their occurrence frequency assessed by both actual survey of construction site conditions and the statistical data related with the probable accidents. Practical FTA(Fault Tree Analysis) and ETA(Event Tree Analysis) models are used for the assessment of the identified risks. When the risk events are lack of statistical data, appropriate Bayesian models incorporating engineering judgement and test results are also introduced in this paper. Moreover, a fuzzy probability technique is used for the quantitative risk assessment of those risk components which are difficult to evaluate quantitatively.

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A Study on the Application of Interpolation and Terrain Classification for Accuracy Improvement of Digital Elevation Model (수지표고지형의 정확도 향상을 위한 지형의 분류와 보간법의 상용에 관한 연구)

  • 문두열
    • Journal of Ocean Engineering and Technology
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    • v.8 no.2
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    • pp.64-79
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    • 1994
  • In this study, terrain classification, which was done by using the quantitative classification parameters and suitable interpolation method was applied to improve the accuracy of digital elevation models, and to increase its practical use of aerial photogrammetry. A terrain area was classified into three groups using the quantitative classification parameters to the ratio of horizontal, inclined area, magnitude of harmonic vectors, deviation of vector, the number of breakline and proposed the suitable interpolation. Also, the accuracy of digital elevation models was improved in case of large grid intervals by applying combined interpolation suitable for each terrain group. As a result of this study, I have an algorithm to perform the classification of the topography in the area of interest objectively and decided optimal data interpolation scheme for given topography.

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Windborne debris and damage risk models: a review

  • Holmes, J.D.
    • Wind and Structures
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    • v.13 no.2
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    • pp.95-108
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    • 2010
  • This review paper discusses research from the last few years relating to windborne debris risk models and the essential elements of engineering damage prediction models. Generic types of windborne debris are discussed. The results of studies of debris trajectories that are relevant to damage models are described - in particular the horizontal component of debris velocity as a function of distance travelled. The merits of impact momentum versus impact kinetic energy as a relevant parameter for predicting damage are considered, and how published data from generic cannon Impact tests can be used in risk models. The quantitative variation of debris impact damage with wind speed is also discussed. Finally the main elements of previously-proposed debris damage models are described.

A Case Study on Qualitative Efficiency of National R&D Projects: Focused on Agricultural Research Area (국가연구개발사업의 질적 효율성 분석에 관한 사례연구: 농림축산 분야를 중심으로)

  • Kim, Kyungsoo;Cho, Namwook
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.14 no.3
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    • pp.115-125
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    • 2018
  • In order to examine the ways to improve the efficiency of R&D investment, this paper presents analysis on both quantitative and qualitative efficiency of R&D projects. As Korea's R&D investment has significantly increased in recent years, the efficiency of R&D investment has attracted attention. In this paper, a Data Envelopment Analysis(DEA) method is used to construct models for quantitative efficiency and qualitative efficiency analysis. Based on a cases of agricultural R&D projects of Korea, the efficiency of national R&D projects were analyzed and their quantitative and qualitative efficiencies are compared. As a result, statistically significant difference between quantitative and qualitative efficiency was found. Also, characteristics of Decision Making Units(DMUs) which can influence both quantitative and qualitative efficiency were identified. In particular, the stage of a R&D project has significant impact on R&D efficiency. This study suggests that in order to enhance R&D efficiency both quantitative and qualitative nature of outputs should be considered when measuring R&D efficiency.