• Journal of the Korean Society of Marine Environment & Safety
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• v.20 no.1
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• pp.113-119
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• 2014

Recently, R.O.K. Navy is increasing re-usability of design data and application of M&S(Modeling and Simulation) through the establishment of collaborative product development environment focused on Naval Ship Product Model(NSPM). As a result, the reliability of the result of design is getting better, and furthermore, a study to improve quality of construction through simulation of production/operation is in progress. Accordingly, the database construction of design data and the DB(Database) quality become important, but there was not research related to those or it was just initial state. This paper conducted research about system of the quality verification process of shape elements which compose NSPM based on the quality verification guideline of NSPM as the result of the precedent study. The hull surface was limited as verification object. The study to verify two things that application of basic drawing by the cad model of hull surface, and whether there is error in the geometric quality of cad model was progressed. To achieve this goal, the verification criteria and algorithm were defined and the prototype system which is based on was developed.

• Journal of Service Research and Studies
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• v.7 no.4
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• pp.51-68
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• 2017

Financial technology (FinTech) is an emerging financial service sector include innovations in financial literacy and investment, retail banking, education, and crypto-currencies like bitcoin. One of the crucial branch of financial technology-third-party payment (TPP) is undergoing rapid growth, with online/mobile systems replacing offline financial systems. System quality and user attitudes are key perceptions driving third-party payment usage, the importance of these perceptions, however, may be different with countries as users' thinking varies from country to country. Thus, the purpose of this study is to elaborate how factors differ from China to Korea by drawing on the unified theory of acceptance and use of technology (UTAUT2). Additionally, this study also aims to propose a multi-attribute evaluation of the third-party online payment system based on analytic hierarchy process (AHP), fuzzy sets and technique for order performance by similarity to ideal solution (TOPSIS), to examine the relative importance of the perceptions influencing new technology adoption intention. The results showed that the price value has the most significant influence on Chinese perceptions, while the perceived credibility has the most significant effect on Korean perceptions. Sub-criteria also performs different results to Chinese and Korean third-party online payment system.

• Journal of Korea Water Resources Association
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• v.41 no.12
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• pp.1187-1198
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• 2008

Many reservoirs in Korea and their downstream environments are under increased pressure for water utilization and ecosystem management from longer discharge of turbid flood runoff compared to a natural river system. Turbidity($C_T$) is an indirect measurement of water 'cloudiness' and has been widely used as an important indicator of water quality and environmental "health". However, $C_T$ modeling studies have been rare due to lack of experimental data that are necessary for model validation. The objective of this study is to validate a coupled three-dimensional(3D) hydrodynamic and particle dynamics model (ELCOM-CAEDYM) for the simulation of turbid density flows in stratified Daecheong Reservoir using extensive field data. Three different groups of suspended solids (SS) classified by the particle size were used as model state variables, and their site-specific SS-$C_T$ relationships were used for the conversion between field measurements ($C_T$) and state variables (SS). The simulation results were validated by comparing vertical profiles of temperature and turbidity measured at monitoring stations of Haenam(R3) and Dam(R4) in 2004. The model showed good performance in reproducing the reservoir thermal structure and propagation of stream density flow, and the magnitude and distribution of turbidity in the reservoir were consistent with the field data. The 3D model and turbidity modeling framework suggested in this study can be used as a supportive tool for the best management of turbidity flow in other reservoirs that have similar turbidity problems.

• Journal of Korea Water Resources Association
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• v.53 no.6
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• pp.437-450
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• 2020

This study presents a probabilistic distributed hydrological model for Ephemeral catchment, where zero flow often occurs due to the influence of distinct climate characteristics in South Korea. The gridded hydrological model is developed by combining the Sacramento Soil Moisture Accounting Model (SAC-SMA) runoff model with a routing model. In addition, an error model is employed to represent a probabilistic hydrologic model. To be specific, the hydrologic model is coupled with a censoring error model to properly represent the features of ephemeral catchments. The performance of the censoring error model is evaluated by comparing it with the Gaussian error model, which has been utilized in a probabilistic model. We first address the necessity to consider ephemeral catchments through a review of the extensive research conducted over the recent decade. Then, the Yongdam Dam catchment is selected for our study area to confirm the usefulness of the hydrologic model developed in this study. Our results indicate that the use of the censored error model provides more reliable results, although the two models considered in this study perform reliable results. In addition, the Gaussian model delivers many negative flow values, suggesting that it occasionally offers unrealistic estimations in hydrologic modeling. In an in-depth analysis, we find that the efficiency of the censored error model may increase as the frequency of zero flow increases. Finally, we discuss the importance of utilizing the censored error model when the hydrologic model is applied for ephemeral catchments in South Korea.

• Environmental and Resource Economics Review
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• v.26 no.3
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• pp.359-398
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• 2017

Uncertainty is central to energy and climate policy. A growing number of literature show that almost all components of energy and climate models are, to some extent, uncertain and that the effect of uncertainty on the model outputs, in turn policy recommendations, is significantly large. Most existing energy and climate-economy models developed and used in Korea, however, do not take uncertainty into account explicitly. Rather, many models conduct a deterministic analysis or do a simple (limited) sensitivity analysis. In order to help social planners to make more robust decisions (across various plausible situations) on energy and climate change issues, an uncertainty analysis should be conducted. As a first step, this paper reviews the theory of decision making under uncertainty and the method for addressing uncertainty of existing probabilistic energy and climate-economy models. In addition, the paper proposes a strategy to apply an uncertainty analysis to energy and climate-economy models used in Korea. Applying the uncertainty analysis techniques, this paper revises the FUND model and investigates the impacts of climate change in Korea.

• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.224-231
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• 2020

This study was conducted to develop a group counseling program to solve the problem of maladjustment of military personnel and to verify the effectiveness of the program. The 12 session CBT and ACT program for military soldiers experiencing emotional and behavioral problems was developed and the effectiveness was verified by conducting a program once a week for soldiers in the army units based in South Chungcheong Province. Adult Self Report scale(ASR) was implemented for pre-post test and analysis, and descriptive statistical analysis, cross-analysis, paired sample t-test, and independent sample t-test were performed to analyze the results. The results indicated are as follows: First, the preliminary homogeneity test between groups showed that the two groups had homogeneous demographic characteristics and the characteristics of the variables. Second, as a result of the pre-post test verification, both CBT and ACT groups showed significant changes in problem behavior totals, internalizations, and externalizations. Third, there was no difference between the pre-post-examination of the CBT group and the ACT group. This study is meaningful in that it was involved in the maladjustment problem within the military unit, and compared the effectiveness between the two theories, and proposed the study of control groups and further studies on more diverse and diverse subjects that were not implemented under the circumstances of the unit.

• Spatial Information Research
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• v.17 no.4
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• pp.431-443
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• 2009

Recently, turbidity problem is one of the hot issues in dam and reservoir management works. Main reason to bring about high density turbid water is sediment yield by rainfall intensity energy. Because existing researches didn't consider diverse types of crops, it was difficult to calculate more accurate soil erosion and sediment yield. This study was evaluated the reduction efficiency of soil erosion and sediment yield using ginseng layer extracted from IKONOS satellite image, and the area and the ratio of ginseng area represented $0.290km^2$ and 0.94%. The reduction efficiency of soil erosion considering ginseng area represented low value in 0.9% using GIS-based RUSLE model, because the area of ginseng was small compared to areas of other agricultural lands. To reflect future land use change, this study was calculated the reduction efficiency of soil erosion and sediment yield by considering many scenarios as kinds of crops of paddy, dry field, orchard, and other agricultural areas convert to the ginseng district. As result of analysis of them according to scenarios, scenario (1) in which dry field was converted to ginseng area and scenario (2) in which fully agricultural lands were converted to ginseng area showed high reduction efficiency as 31.3% and 34.8% respectively, compared to existing research which didn't consider ginseng area. Methodology suggested in this study will be very efficient tools to help reservoir management related to high density turbid water.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.21 no.3
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• pp.311-318
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• 2014

Purpose: The purpose of this research was to assess the methodological quality of non-randomized studies published in the Journal of Korean Fundamentals of Nursing. Methods: A search of non-randomized studies assessing intervention effects was conducted among all articles published in the Journal of Korean Fundamentals of Nursing between 2011 and 2013. Articles were assessed for quality using the Methodological Index for Non Randomized Studies (MINORS). For each index item, the frequency and percentage of articles meeting the criteria were calculated, along with mean scores by research method, publication year, and research topic. Results: A total of 22 studies were included. The mean score for studies without control groups was 11.75 (range 0-16), and for those with control groups, 19.27 (range 0-24). Results show that improvement is needed on several items: "endpoints appropriate to the aim of the study," "unbiased assessment of the study endpoint," "follow-up period appropriate to the aim of the study," "loss to follow up less than 5%," and "contemporary groups." Conclusion: Although the quality of articles published in the Journal of Korean Fundamentals of Nursing has consistently increased, more emphasis should be placed on using rigorous research methods.

• Journal of Environmental Policy
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• v.6 no.3
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• pp.33-56
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• 2007

Use of chemicals has greatly increased along with development of human civilization. Concerns about potential effects of chemicals on human health and environment have also grown accordingly. Due to the enormous number of chemicals being used, however, it is neither practical nor feasible to regulate all the chemicals. Therefore, it is necessary to identify chemicals that deserve more immediate attention, based on the effects on receptors to be protected. This study was initiated by the need for developing management policies for Shihwa-Banwol Techno Valley and its vicinities of korea, where complaints and concerns on environmental contamination have been raised for long time. This study to identifies major chemicals that deserve most immediate attention in environmental health management in this area. For this purpose, the study employed CHEMS-1(Chemical Hazard Evaluation for Management Strategies), and used chemical data from Toxics Release Inventory(TRI) and environmental contamination data from the environmental pollution monitoring network. Top priority pollutants identified in Shihwa-Banwol Techno Valley area were metals and volatile organic compounds, such as dichloromethane, trichloroethylene, diazinon, tetrachloroethylene, chromium compounds, tin compounds, chloroacetic acid, ethyl acetate, and zinc compounds, in an order of decreasing importance. An evaluation of physicochemical properties of the priority chemicals and the environmental pollution monitoring network database in Shihwa-Banwol Techno Valley suggested that the media that are of potential concern would be the atmosphere and aquatic environment.

• Resources Recycling
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• v.26 no.2
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• pp.46-55
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• 2017

In this study, the design methodology of Radial Basis Function Neural Networks is developed with the aid of Laser Induced Breakdown Spectroscopy and also applied to the practical plastics sorting system. To identify black plastics such as ABS, PP, and PS, RBFNNs classifier as a kind of intelligent algorithms is designed. The dimensionality of the obtained input variables are reduced by using PCA and divided into several groups by using K-means clustering which is a kind of clustering techniques. The entire data is split into training data and test data according to the ratio of 4:1. The 5-fold cross validation method is used to evaluate the performance as well as reliability of the proposed classifier. In case of input variables and clusters equal to 5 respectively, the classification performance of the proposed classifier is obtained as 96.78%. Also, the proposed classifier showed superiority in the viewpoint of classification performance where compared to other classifiers.