• Journal of Korean Society for Atmospheric Environment
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• v.21 no.1
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• pp.1-14
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• 2005

In this study, a Long Path Differential Optical Absorption Spectroscopy system (K-JIST LP-DOAS) has been used to simultaneously measure atmospheric monoaromatic hydrocarbons and other trace compounds. The validity of the K-JIST LP-DOAS for measuring atmospheric monoaromatic hydrocarbons was tested during a field campaign between 12 February and 14 March 2003 at an urban site in Seoul, Korea through inter-comparative measurements against a collocated on-line Gas Chromatography (GC) system. The concentrations of benzene, toluene, p-xylene, and m-xylene were measured with the K-JIST LP-DOAS system in the UV region (239～302 nm) over a 740 m beam path. For the other trace compounds, a longer spectral range (299～362 nm) was used. In order to remove the interference of atmospheric abundant species (such as oxygen, sulfur dioxide and ozone), two oxygen optical density spectra obtained at two pathlengths, 697 and 1133m, and reference spectra of sulfur dioxide and ozone were incorporated in the fitting procedure. The mean concentrations measured by our LP-DOAS during the measurement period were 0.77 ($\pm$0.38) ppbv for benzene, 3.68 ($\pm$1.90) ppbv for toluene, 0.41 ($\pm$0.19) ppbv for p-xylene, 0.54 ($\pm$0.24) ppbv for m-xylene. The concentration data of benzene, toluene, p-xylene and m-xylene obtained by our LP-DOAS were found to be in relatively good correlations with those of the online GC system. Pearson's coefficients in the observed concentrations between LP-DOAS and on-line GC were 0.84 for benzene, 0.83 for toluene and 0.65 for m,p-xylene. This study suggests that the LP-DOAS system can be used to provide reliable information on both the mixing ratios and temporal distribution characteristics of monoaromatic hydrocarbons in the urban air.

• Journal of Information Technology and Architecture
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• v.9 no.1
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• pp.57-66
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• 2012

Recently, with a rapidly growing of the mobile content market, a variety of mobile-based applications are being launched. But mobile devices, compared to the average computer, take a lot of effort and time to get the final contents you want to use due to the restrictions such as screen size and input methods. To solve this inconvenience, a recommender system is required, which provides customized information that users prefer by filtering and forecasting the information.In this study, an tailored multi-information recommendation system utilizing a Personalized information recommendation system on smartphone is proposed. Filtering of information is to predict and recommend the information the individual would prefer to by using the user-based collaborative filtering. At this time, the degree of similarity used for the user-based collaborative filtering process is Euclidean distance method using the Pearson's correlation coefficient as weight value.As a real applying case to evaluate the performance of the recommender system, the scenarios showing the usefulness of recommendation service for the actual restaurant is shown. Through the comparison experiment the augmented reality based multi-recommendation services to the existing single recommendation service, the usefulness of the recommendation services in this study is verified.

• Journal of the Korea Convergence Society
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• v.11 no.8
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• pp.351-360
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• 2020

This study is mixed design to measure the effects of case-based learning and the Cornell notes-taking system in human anatomy course, the basic course in nursing, on self-directed learning ability, critical thinking dispositon, and teamwork of nursing students. Among those who completed anatomy course, 34 underachieving students were targeted and surveyed before and after classes, and interviewed on case-based learning and Cornell notes-taking system. For quantitative analysis, SPSS/WIN 21.0 was used for frequency analysis, paired t-test, and Pearson's correlation coefficients. For qualitative research, content analysis was performed. The results showed significant increases in self-directed learning ability(t=-9.69, p<.001), critical thinking dispositon(t=-7.75, p<.001), and teamwork (t=-12.43, p<.001) in underachieving nursing students. In addition, there was a significant correlation between self-directed learning ability, critical thinking dispositon, and teamwork. In conclusion, case-based and Cornell notes learning methods were effective in helping underachieving students enrolled in human anatomy course. There is a need for continuous research on the use of case-based and Cornell notes in other courses.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.12
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• pp.594-602
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• 2016

This study was carried out to suggest hospital referral system improvements based on health insurance subscriber perceptions of the delivery of healthcare. Health insurance subscriber outpatients (n = 207) referred from a stage 1 medical institution to the S university hospital located in Seoul responded to the study survey. The study's item reliability is reliable as the Cronbach's alpha coefficient was greater than 0.7. This study results showed that 5.9% of patients were referred from a higher stage hospital to a same stage hospital. The main factor attracting patients to S university hospital were physician reputation and confidence. The highest factor ($4.40{\pm}.92$) was xxxx. In addition, survey respondents reported that the concentration of patients in extra-large hospitals in Seoul ($4.24{\pm}.97$) was an important issue, and the issue with the highest priority for improvement ($4.05{\pm}1.02$). A positive correlation was detected between the recognition and improvement of delivery of healthcare (p < 0.01). Based on the results, we suggest that improvements in the delivery of healthcare should focus on patients rather than suppliers of national health insurance or other insurers. Keywords: delivery of healthcare, health services accessibility, national health insurance, tertiary care centers, hospital referral.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.322-332
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• 2019

This is a descriptive research study that aims to identify the effects of professionalism, job satisfaction, and resilience on the retention intention of home visiting nurses from the long-term care insurance system of Korea. Data were collected from self-administered surveys completed by 141 home visiting nurses of registered visiting-nursing institutions in the long-term care insurance database (April 1-May 31, 2019). Analyses were independent t-tests, one-way analysis of variance (ANOVA), the Scheffé test, Pearson's correlation analysis using SPSS/WIN 22.0, and multiple hierarchical regression analyses. Results showed that the mean professionalism score was 3.51/5, 3.27/5 for job satisfaction, 3.79/5 for resilience, and 4.04/5 for retention intention. A positive correlation existed between retention intention and professionalism (r = .272), job satisfaction (r = .201), and resilience (r = .530). The final regression model showed that resilience (β = .455, p < .001) and job satisfaction (β = .175, p = .016) significantly affect retention intention. The variables' model explanation power was 32.0% (F = 11.968, p < .001). The results show the need for strategies to improve resilience, followed by strategies to improve job satisfaction to increase the retention intentions of these home visiting nurses.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.73-81
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• 2020

This study compared nursing service satisfaction and revisit intention of comprehensive nursing care unit and general care unit patients and confirmed the impact of nursing service satisfaction on revisit intention. We used data from 201 survey questionnaires collected from four general hospitals located in B-metropolitan area. Data were collected from Jun 1 to 30, 2019. The data were analyzed using x²-test, t-test, ANOVA, Scheffé test, Pearson's Correlation Coefficient, and Stepwise multiple regression. The results show that nursing service satisfaction was significantly higher in patients admitted to the comprehensive nursing care unit than in the general care unit. There was a significant correlation in increased nursing service satisfaction being associated with increased revisit intention. Among subcategories of nursing service satisfaction, Empathy and Tangibles were cited by 56% of the comprehensive nursing care unit and 40% of the general care unit. As a result of this study, it is necessary to prepare a nursing system that can continuously monitor nursing service satisfaction in order to increase hospital revisit intention and expand the implementation of a comprehensive nursing care unit system.

• The Journal of the Korea Contents Association
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• v.11 no.3
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• pp.281-292
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• 2011

In this study, for examining an effect of lower limbs' muscle activity on balance capability when applying sprinter pattern among the PNF, the experiment was conducted as followed. Under the object of 24 people diagnosed by hemiplegia, they were divided into control group and experimental group and the experiment was conducted on the experimental group, three times per a week for six weeks. Experimental group received Sprinter pattern of combined PNF upper extremity and lower extremity pattern. For the lower limbs' muscle activity, effective values of Vastus medialis laterails, medial lateral hamstrings, lateral gastrocnemius' action potential were analyzed. The balance ability tests was conducted with FICSIT-4, FSST and MTD-Balance system. For the significance test of control group and experimental group for measuring time by exercise application method, two-way repeated measure ANOVA was conducted and for the significance test among the groups by each measuring time, independent t-test was conducted. Also, for examining the correlation among the measuring item, pearson correlation was used for the analysis. As the result, the application of sprinter pattern increased muscle activity of lower limbs in paretic side and improve static and dynamic balance ability effectively. Therefore, it will be necessary to develop new intervention by combining active application of the therapeutic intervention program for lower limbs' effective muscle mobilizing in paretic side with various exercising patterns.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.9
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• pp.6061-6070
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• 2015

The purpose of this study was to examine relations on the autonomy, nursing performance based on the awareness and satisfaction of electronic medical record system for nurses. This Study was a descriptive survey design using convenience sampling. There were 194 general hospital nurses, who agreed to participate in this study, taken a structured questionnaire during august 2013. SPSS 20.0 version was used for descriptive analysis, frequency, percentage, mean, standard deviation, independent t-test, one-way ANOVA and Pearson correlation coefficiency. The major findings of this study were as follows. The mean score on the awareness of EMR was 3.68, the mean score on the satisfaction was 3.47 and nursing autonomy mean score was 3.25, nursing performance mean score was 3.55. There were significant differences in the awareness according to working field and computer certificate. There were significant differences in satisfaction depending on whether they held computer certificates Head nurses and the above scored significantly higher in nursing performance compared to nurses at the lower position. Also, higher awareness was significantly related to higher satisfaction. Higher satisfaction was significantly related to higher nursing autonomy and performance. The findings of this study imply that nurses need to raise their EMR awareness and satisfaction and make best used of their qualification with their computer certificate.

• Korean Journal of Remote Sensing
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• v.36 no.6_3
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• pp.1733-1741
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• 2020

This study analyzed the effect of meteorological factors on the concentration of PM10 (particulate matter 10) in the atmosphere and the variation of rainwater quality using multivariate statistical analysis. The concentration of PM10 in the atmosphere was continuously measured during eleven precipitation events with a custom-built PM sensor node. A total of 183 rainwater samples were analyzed for pH, EC (electrical conductivity), and water-soluble cations (Na+, Mg2+, K+, Ca2+, NH4+) and anions (Cl-, NO3-, SO42-). The data has been analyzed using two multivariate statistical techniques (principal component analysis, PCA, and Pearson correlation analysis) to identify relationships among PM10 concentrations in the atmosphere, meteorological factors, and rainwater quality factors. When the rainfall intensity was relatively strong (> 5 mm/h, rainfall type 1), the PM10 concentration in the atmosphere showed a negative correlation (r = -0.55, p < 0.05) with cumulative rainfall. The PM10 concentration increased the concentration of water-soluble ions (r = 0.25) and EC (r = 0.4), and decreased the pH (r = -0.7) of rainwater samples. However, for rainfall type 2 (< 5 mm/h), there was no negative correlation between the PM10 concentration in the atmosphere and cumulative rainfall and no statistically significant correlation between the PM10 concentration in the atmosphere and rainwater quality.

• Korean Journal of Remote Sensing
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• v.37 no.3
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• pp.463-473
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• 2021

Recently, United States Geological Survey (USGS) distributed Landsat 8 Collection 2 Level 2 Science Product (L2SP). This paper aims to derive land surface temperature from L2SP and to validate it. Validation is made by comparing the land surface temperature with the one calculated from Landsat 8 Collection 1 Level 1 Terrain Precision (L1TP) and the one from Automated Synoptic Observing System (ASOS). L2SP is calculated from Landsat 8 Collection 2 Level 1 data and it provides land surface temperature to users without processing surface reflectance data. Landsat 8 data from 2018 to 2020 is collected and ground sensor data from eight sites of ASOS are used to evaluate L2SP land surface temperature data. To compare ground sensor data with remotely sensed data, 3×3 grid area data near ASOS station is used. As a result of analysis with ASOS data, L2SP and L1TP land surface temperature shows Pearson correlation coefficient of 0.971 and 0.964, respectively. RMSE (Root Mean Square Error) of two results with ASOS data is 4.029℃, 5.247℃ respectively. This result suggests that L2SP data is more adequate to acquire land surface temperature than L1TP. If seasonal difference and geometric features such as slope are considered, the result would improve.