• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.2
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• pp.144-159
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• 2006

Hydrological models are tools intended to realistically represent the basin's complex system in which hydrological characteristics result from a number of physical, vegetative, climatic, and anthropomorphic factors. Spatially distributed hydrological models were first developed in the 1960s, Remote sensing(RS) data and Geographical Information System(GIS) play a rapidly increasing role in the field of hydrology and water resources development. Although very few remotely sensed data can applied in hydrology, such information is of great. One of the greatest advantage of using RS data for hydrological modeling and monitoring is its ability to generate information in spatial and temporal domain, which is very crucial for successful model analysis, prediction and validation. In this paper, SLURP model is selected as semi-distributed hydrological model and MODIS Leaf Area Index(LAI), Normalized Difference Vegetation Index(NDVI) as Remote sensing input data to hydrological modeling of Kyung An-chen basin. The outlet of the Kyung An stage site was simulated, We evaluated two RS data, based on ability of SLURP model to simulate daily streamflows, and How the two RS data influence the sensitivity of simulated Evapotranspiration.

• Journal of The Korean Association For Science Education
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• v.37 no.2
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• pp.253-262
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• 2017

This study aims at investigating the perceptions of science teachers about the role of visual representations in the teaching of electromagnetism, and finding out how science teachers use visual representations in their teaching of electromagnetism and the difficulties they experience in dealing with those representations. A total of 121 science teachers responded to the online survey. The results showed that most of the teachers agreed to the significance of using visual representations in the classroom but regarded their role as means of simply delivering science knowledge rather than constructing or generating knowledge. For the three visual representations widely used in teaching of electromagnetism in secondary schools (electrostatic induction on electroscope, magnetic field around current carrying wire, structure and principle of electric motor), the teachers preferred teacher-centered use of visual representations rather than student-centered and teacher's construction of representations were the most frequent among four types of use; interpretation, construction, application, and evaluation. The difficulties of teaching with these three visual representations were categorized into several factors; teachers, students, the characteristics of the representations, and lack of resources and classroom environment. Teachers' limited perceptions about the role of visual representations were associated with the ways of using visual representations in their teaching. Implications for the effective use of visual representations for science learning and teaching were discussed.

• Journal of the Korea Convergence Society
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• v.8 no.10
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• pp.155-166
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• 2017

This study aimed to investigate the nursing needs of hospitalized children's mothers and the quality of care in a pediatric unit. A secondary data analysis was conducted using mixed methods design. The qualitative data from 8 mothers of hospitalized children gathered through an in-depth interview were analyzed to investigate nursing needs. The quantitative data from 194 hospitalized children's mothers were analyzed to examine the quality of care in the pediatric unit using IBM SPSS 24.0. The results of qualitative research were categorized into 4 themes: dignity and respect, explanation, participation and collaboration, and nursing practice. The importance of quality of care, performance, and quality index were $8.76{\pm}1.19$ (0~10), $.30{\pm}.19$ (0~1), and $7.52{\pm}1.62$ (0~10), respectively. The quality of care scores differed according to the stage of development of the children (F=2.75, p=.044), and the score of the quality index of nursing skill varied according to the age of the mother (t=-2.08, p=.039). The results of this study are expected to contribute to the development of strategies to improve the quality of nursing care for children.

• The Journal of Korean Medicine
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• v.35 no.1
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• pp.157-170
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• 2014

Objectives: The purpose of this study was to develop a standard instrument of diagnosis and assessment for spleen qi deficiency pattern. Methods: Reports published in Korea and China related to spleen qi deficiency pattern were selected. Assessments of selected references were performed to select major symptoms of spleen qi deficiency pattern. Korean translation and review by a Korean linguist were performed to create a draft of [Standard instrument of diagnosis and assessment for spleen qi deficiency (for subject)]. The final [Standard instrument of diagnosis and assessment for spleen qi deficiency (for subject)] was completed after assessment on inclusion or exclusion, on importance of items and on validity of translation by an expert committee, consisting of professors from the National College of Korean Medicine. Results & Conclusions: 1. 14 major symptoms were selected by frequency from 45 references which were related to standard identification of spleen qi deficiency pattern, translated into Korean and reviewed by a Korean linguist. 2. 11 symptoms were selected after assessment on inclusion yes or no by the expert group. Items were listed in order of importance: tiredness of extremities (肢体倦怠), sallow complexion (面色萎黃), reduced appetite (食欲减退), abdominal distension after eating (腹胀食後尤甚), inability to eat (納少), pale tongue and white fur (舌淡苔白), lethargy (神疲), emaciation (消瘦), loose stool (大便溏薄), shortness of breath and reluctance to speak (少氣懶言), and weak pulse (脈緩弱). 3. Final [Standard instrument of diagnosis and assessment for spleen qi deficiency (for subject)] was completed after assessment of translation validity, reflection of individual opinions by the expert committee, and application of weighted value computed from assessment on importance of items.

• The Journal of the Korea Contents Association
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• v.14 no.10
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• pp.850-861
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• 2014

The purpose of this review was to evaluate the effects of simulation-based education on clinical competence and confidence in nursing students and summarize the available evidence on the simulation-based intervention. A systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA Statement was conducted. Studies published between 2005 and 2014 were reviewed using the following databases: RISS, KISS, and Google Scholar. The keywords used were nursing and either simulation or simulator. Selected studies were assessed for methodological quality using Quality Assessment Tool for Quantitative Studies. Seventeen studies were identified, including a total of 1,912 nursing students. All the 16 studies found simulation as a valid strategy on clinical competence and confidence in nursing education. This review provides updated evidence for simulation-based learning in nursing education. Further studies are needed to increase generalizability using randomized controlled trials, enough sample size, and longitudinal study design. In addition, valid measurements are needed to assess the main outcomes.

• The Journal of Internal Korean Medicine
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• v.37 no.1
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• pp.77-89
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• 2016

Objectives: The aim of this study was to develop a standard instrument of pattern identification and evaluation for chemotherapy-induced peripheral neuropathy (CIPN).Methods: The advisory committee for this study was organized by 12 professors of traditional Korean medicine from the Korean Association of Traditional Oncology. The items and structure of the instrument were designed based on a review of previous publications. We revised the instrument in consultation with the advisory committee and received additional advice via email.Results: We divided the symptoms and signs of CIPN into four pattern identifications: wind arthralgia (風痺), cold arthralgia (寒痺), dampness arthralgia (濕痺), and arthralgia of the deficiency type (虛痺). We obtained the mean weights to reflect the standard deviations from each symptom of the four pattern identifications, which were scored on a 5-point scale by the advisor committee. After we obtained the answers to discrimination between variable symptoms (變症) and ordinary symptoms (素症) from the 12 experts, we gained the final weight from the combination of the ratio of pattern identification to the number of total answers of the advisory committee and the mean weight.Conclusions: The Instrument on Pattern Identification and Evaluation for CIPN was developed through a discussion between 12 experts. There was a limitation that the validity and reliability of this instrument have not been proven. However, the significance of this study was that it is the first Instrument on Pattern Identification and Evaluation aimed at assessing CIPN in traditional Korean medicine.

• The Journal of Society for e-Business Studies
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• v.25 no.1
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• pp.83-107
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• 2020

Selecting business charts based on the nature of the data and the purpose of the visualization is useful in business analysis. However, current visualization tools lack the ability to help choose the right business chart for the context. Also, soliciting expert help about visualization methods for every analysis is inefficient. Therefore, the purpose of this study is to propose an accessible method to improve business chart productivity by creating rules for selecting business charts from online published documents. To this end, Korean, English, and Chinese unstructured data describing business charts were collected from the Internet, and the relationships between the contexts and the business charts were calculated using TF-IDF. We also used a Galois lattice to create rules for business chart selection. In order to evaluate the adequacy of the rules generated by the proposed method, experiments were conducted on experimental and control groups. The results confirmed that meaningful rules were extracted by the proposed method. To the best of our knowledge, this is the first study to recommend customizing business charts through open unstructured data analysis and to propose a method that enables efficient selection of business charts for office workers without expert assistance. This method should be useful for staff training by recommending business charts based on the document that he/she is working on.

• Journal of the Earthquake Engineering Society of Korea
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• v.5 no.3
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• pp.65-71
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• 2001

The nuclear power plant(NPP) should be shut down for inspection and tests prior to a return to power if the earthquake exceeds the operating basis earthquake(OBE). The OBE at the plant is considered to have been exceeded if the computed cumulative absolute velocity(CAV) from the earthquake record is greater than 0.16g-sec. However, the CAV criterion should be determined considering the seismic and structural characteristics of the plant. An experimental study using shaking table is conducted in this study to evaluate intensity of CAV criterion. Appropriate level of CAV is evaluated based on the test results using the developed seismic damage indicator(SDI) model. The model consists of stacked acrylic cylinders and is developed to behave consistently for each directional seismic load. The result of the experimental study in dicates that the CAV criterion of 0.16g-sec is conservative enough to be applied to Korean NPPs since the CAV value of the seismic input motion of the Korean standard NPPs ranges from 0.3 to 0.5 g-sec. The developed SDI is expected to be useful not only in easily determining OBE exceedance but also in evaluating earthquake damage quantitatively to provide guidelines for better post-shutdown inspection and test.

• Geophysics and Geophysical Exploration
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• v.7 no.2
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• pp.109-116
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• 2004

Petroleum reservoir characterization is a process for quantitatively describing various reservoir properties in spatial variability using all the available field data. Porosity and permeability are the two fundamental reservoir properties which relate to the amount of fluid contained in a reservoir and its ability to flow. These properties have a significant impact on petroleum fields operations and reservoir management. In un-cored intervals and well of heterogeneous formation, porosity and permeability estimation from conventional well logs has a difficult and complex problem to solve by conventional statistical methods. This paper suggests an intelligent technique using fuzzy logic and neural network to determine reservoir properties from well logs. Fuzzy curve analysis based on fuzzy logics is used for selecting the best related well logs with core porosity and permeability data. Neural network is used as a nonlinear regression method to develop transformation between the selected well logs and core analysis data. The intelligent technique is demonstrated with an application to the well data in offshore Korea. The results show that this technique can make more accurate and reliable properties estimation compared with previously used methods. The intelligent technique can be utilized a powerful tool for reservoir characterization from well logs in oil and natural gas development projects.

• Journal of the Korean Society for Nondestructive Testing
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• v.21 no.5
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• pp.510-517
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• 2001

This paper describes an initial study for the application of eddy current pattern recognition approaches to more realistic flaw characterization in steam generator tubes. For this purpose, finite-element model-based theoretical eddy current testing (ECT) signals are simulated from 5 types of OD flaws with the variation in flaw size parameters and testing frequency. In addition, three kinds of software are developed for the convenience in the application of steps in pattern recognition approaches such as feature extraction feature selection and classification by probabilistic neural networks (PNNs). The cross point of the ECT signals simulated from flaws with non-symmetric cross-sections shows the deviation from the origin of the impedance plane. New features taking advantages of this phenomenon are added to complete the feature set with a total of 18 features. Then, classification with PNNs are performed based on this feature set. The PNN classifiers show high performance for the identification of symmetry in the cross-section of a flaw. However, they show very limited success in the interrogation of the sharpness of flaw tips.