• Proceedings of the Korea Concrete Institute Conference
• /
• 2000.04a
• /
• pp.405-410
• /
• 2000

Multi-level (macro-level, meso-level, and micro-level) mechanism of prefinitely strained concrete materials os studied The multi-level analysis explains the additional quasibrittle concrete material ductility that comes from lateral confinement and their multi-level interaction mechanisms. The so-called "upgraded tube-squash test" is used to achieve 50% axial strain and over 70 degree of deviatoric strain of quasibrittle concrete materials under extremely high pressure without producing visible cracks. In the micro-level analysis, the variations of hydration rte, micropores, and hydrate phased are analyzed. In the meso-level analysis, mesocracks (the initial invisible cracks) at the interfaces between aggregates and cement paste matrices are studied. The high confining effect in the specimen on the meso-level cracks is also studied. In the macro-level analysis, the physical behavior of prefinitely strained concrete materials is studied. The co-relationships of the results from the three distinct levels of analyses based in various prestraining (0%, 15%, 35%, and 50%) are studied. For the extremely deformed or strained concrete problems, multi-level analysis will be used to explain the unclear and unstudied mechanism of concrete materials, The multi-level analysis can provide us with valuable insights that can explain the additional ductility and confining effect in concrete. concrete.

• Journal of the military operations research society of Korea
• /
• v.24 no.2
• /
• pp.95-116
• /
• 1998

Many different kinds of wargame models have been developed and used in training and analysis purpose. However, there has been few wargame model which analyze corps or division level operational analysis. Recently KIDA develops corps level operational analysis model based on START(simplified tool for analysis of regional treats) model developed by RAND. This model runs in a PC level with 2MB memory and provides one day combat results within 30 seconds. Only one or three person can operate this model and evaluate multiple corps level operational analysis including chemical effects, $C^3I$ capacity, new weapon system effectiveness and other qualitative effects. We tested this model and evaluated input and output data. We showed that this model can be applied in division level operational analysis also. As an example division level application procedure and sensitivity analysis data was provided. We also find some limitation and problems in the model and suggest application areas and improving methods.

• Journal of Information Technology Services
• /
• v.17 no.1
• /
• pp.79-89
• /
• 2018

Sentiment analysis is a technique of text mining that extracts feelings of the person who wrote the sentence like movie review. The preliminary researches of sentiment analysis identify sentiments by using the dictionary which contains negative and positive words collected in advance. As researches on deep learning are actively carried out, sentiment analysis using deep learning model with morpheme or word unit has been done. However, this model has disadvantages in that the word dictionary varies according to the domain and the number of morphemes or words gets relatively larger than that of phonemes. Therefore, the size of the dictionary becomes large and the complexity of the model increases accordingly. We construct a sentiment analysis model using recurrent neural network by dividing input data into phoneme-level which is smaller than morpheme-level. To verify the performance, we use 30,000 movie reviews from the Korean biggest portal, Naver. Morpheme-level sentiment analysis model is also implemented and compared. As a result, the phoneme-level sentiment analysis model is superior to that of the morpheme-level, and in particular, the phoneme-level model using LSTM performs better than that of using GRU model. It is expected that Korean text processing based on a phoneme-level model can be applied to various text mining and language models.

• Journal of Ocean Engineering and Technology
• /
• v.36 no.4
• /
• pp.232-242
• /
• 2022

This study presents a method for level ice-structure interaction analysis to estimate the fatigue damage of arctic structures by applying plate theory to the behavior of level ice. The boundary element method (BEM), which incurs a lower computational cost than the finite element method (FEM), was introduced to solve the plate bending problem. The BEM formulation was performed by applying the BEM to plate theory. Finally, to check the validity of the proposed method, the BEM results and FEM results obtained using the ABAQUS commercial software were compared. The response results of the BEM analysis agreed well with those of the FEM analysis. Based on the results of the analysis, the BEM approach is considered to be very powerful in level ice-structure interaction analysis for estimating level ice-induced fatigue damage. Further work is being conducted to perform level ice fracture analysis based on the stress field calculated using the boundary element method.

• Korean Journal of Remote Sensing
• /
• v.37 no.1
• /
• pp.97-110
• /
• 2021

Fog can cause large-scale human and economic damages, including traffic systems and agriculture. So, Korea Meteorological Administration is operating about 290 visibility meters to improve the observation level of fog. However, it is still insufficient to detect very localized fog. In this study, high-resolution grid-type visibility data were retrieved from irregularly distributed visibility data across the country. To this end, three objective analysis techniques (Inverse Distance Weighting (IDW), Ordinary Kriging (OK) and Universal Kriging (UK)) were used. To find the best method and parameters, sensitivity test was performed for the effective radius, power parameter and variogram model that affect the level of objective analysis. Also, the effect of data distribution characteristics (level of normality) on the performance level of objective analysis was evaluated. IDW showed a relatively high level of objective analysis in terms of bias, RMSE and correlation, and the performance is inversely proportional to the effective radius and power parameter. However, the two Krigings showed relatively low level of objective analysis, in particular, greatly weakened the variability of the variables, although the level of output was different depending on the variogram model used. As the level of objective analysis is greatly influenced by the distribution characteristics of data, power, and models used, care should be taken when selecting objective analysis techniques and parameters.

• The Transactions of the Korean Institute of Power Electronics
• /
• v.20 no.4
• /
• pp.337-343
• /
• 2015

The multi-level inverters are highly efficient for high-power and medium-voltage AC driving applications, such as high-speed railway systems and renewable energy resources, because such inverters generate lower total harmonic distortion (THD) and electromagnetic interface (EMI). Lower switching stress occurs on switching devices compared with conventional two-level inverters. Depending on the multi-level inverter topology, the required components and number of switching devices are different, influencing the overall efficiency. Comparative studies of multi-level inverters based on loss analysis and output characteristic are necessary to apply multi-level inverters in high-power AC conversion systems. This paper proposes a theoretical loss analysis method based on piecewise linearization of characteristic curves of power semiconductor devices as well as loss analysis and output performance comparison of five-level neutral-point clamped, flying capacitor inverters, and high-level cascaded H-bridge multi-level inverters.

• Journal of the Korea Society of Computer and Information
• /
• v.23 no.6
• /
• pp.81-89
• /
• 2018

In this paper, we propose to investigate the existing EPL education related studies and to collect the total effect size for the improvement of high-level thinking through meta-analysis and to confirm the effect size according to various variables. So, we have objectively identified and generalized the practical effects of EPL education on the various elements of high-level thinking and high-level thinking. The results of the meta-analysis showed that 1) EPL is a teaching-learning tool that greatly improves students' high-level thinking. 2) Education based EPL has greatly contributed to the enhancement of creative thinking and logical thinking among high-level thinking. 3) Kodu, App Inventor, Scratch, and Dolittle was confirmed that the effect on the improvement of high-level thinking was great.

• Journal of the East Asian Society of Dietary Life
• /
• v.21 no.3
• /
• pp.451-462
• /
• 2011

The purpose of this study was to examine the level of concern and the level of knowledge of endocrine disruptors, and the level of dietary behaviors to decrease exposure to endocrine disruptors, to determine the factors affecting the level of knowledge and behaviors, and to assess the causal relationship between them. The data were collected from 579 adults in Seoul, Incheon, Daejeon, Daegu, Busan and Gwangju provinces. Frequencies, t tests, analysis of variance, Cronbach's alpha, Pearson's correlation coefficient analysis, multiple regression analyses, and path analysis were carried out by SPSS for Win V.18.0. The results of this study were as follows: The level of concern about endocrine disruptors was higher than the medium level. The respondents were most concerned about a container of cup ramen among products related to foods. The levels of both knowledge and behaviors in order to decrease exposure to endocrine disruptors in dietary life were not high. The factors affecting the level of knowledge of endocrine disruptors were educational level, attendance in education for endocrine disruptors, and concern about endocrine disruptors. On the other hand, sex, age, concern about endocrine disruptors, and the level of knowledge of endocrine disruptors affected the level of behaviors to decrease exposure toward endocrine disruptors. The results of the path analysis showed that educational level and education of endocrine disruptors had an indirect influence on the level of behaviors in order to decrease exposure to endocrine disruptors in dietary life. The concern about endocrine disruptors had both a direct and an indirect effect on the level of behaviors to decrease exposure to endocrine disruptors in dietary life. In addition, sex, age and the level of knowledge of endocrine disruptors directly affected the level of behaviors to decrease exposure to endocrine disruptors in dietary life.

• Nuclear Engineering and Technology
• /
• v.42 no.4
• /
• pp.460-467
• /
• 2010

In this study, the parameters of the feedwater control system (FWCS) of the OPR1000 type nuclear power plant (NPP) are optimized by response surface methodology (RSM) in order to acquire better level control performance from the FWCS. The objective of the optimization is to minimize the steam generator (SG) water level deviation from the reference level during transients. The objective functions for this optimization are relationships between the SG level deviation and the parameters of the FWCS. However, in this case of FWCS parameter optimization, the objective functions are not available in the form of analytic equations and the responses (the SG level at plant transients) to inputs (FWCS parameters) can be evaluated by computer simulations only. Classical optimization methods cannot be used because the objective function value cannot be calculated directely. Therefore, the simulation optimization methodology is used and the RSM is adopted as the simulation optimization algorithm. Objective functions are evaluated with several typical transients in NPPs using a system simulation computer code that has been utilized for the system performance analysis of actual NPPs. The results show that the optimized parameters have better SG level control performance. The degree of the SG level deviation from the reference level during transients is minimized and consequently the control performance of the FWCS is remarkably improved.

• Asia pacific journal of information systems
• /
• v.11 no.3
• /
• pp.105-126
• /
• 2001

The objective of research is to find out exogenous variables that influence the usage and performance EDI in the Korea firms. Specifically the goals of this research are; (1) to examine relationships between exogenous variables, such as management, technology, inter-firm relationship characteristics, and EDI performance, and (2) to measure EDI volume, EDI diversity, EDI depth among Korea firms. The questionnaire consists of two versions; One for the EDI system managers and the other for the EDI users. The analysis of this study is designed as cross level to examine the causal relationship among variables in different analysis level. The reliability and validity of data was tested by explanatory factor analysis, Cronbach's alpha coefficient, confirmatory factor analysis, and correlation analysis. Also, the structural equation model(SEM) analysis was performed to test the usefulness of the model. The analysis results revealed that education level, IS growth, trust, support, power are major influential variables on the usage level and performance of EDI. Especially, persuasive power turned out to be more important than coercive power, and technical financial support from organizations was also found to be a significant variables.