• Journal of Digital Convergence
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• v.18 no.5
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• pp.505-512
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• 2020

This study is done to provide basic data on the effective operation of the new policies by examining the satisfaction level of the elderly with dementia visiting dementia care centers located in 25 autonomous districts of S city. Self-administered questionnaires were distributed to 217 elderly with dementia who visited the above dementia care center from July 1 to September 30, 2019. The satisfaction tool is a chart score scale that displays negative-positive expressions at both ends of a straight line. The result shows that satisfaction level is significantly higher in the group with trust in the visiting institutions than in the group with distrust (t=9.74, p<.001), higher in cognitive impairment group than in dementia group (t=0.13, p=.034), and higher in mild depression group than in more severe depression group (t=2.31, p=.022). Satisfaction ratios analyzed by logistic regression shows significant differences in factors like gender, age, education, and walking pattern. In conclusion, it is important to run health support programs that consider user characteristics to improve the satisfaction of newly introduced dementia care centers.

• Journal of the military operations research society of Korea
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• v.34 no.2
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• pp.79-101
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• 2008

This study is for improvement of repair part demand forecasting method of Republic of Korea Air Force aircraft. Recently, demand prediction methods are Weighted moving average, Linear moving average, Trend analysis, Simple exponential smoothing, Linear exponential smoothing. But these use fixed weight and moving average range. Also, NORS(Not Operationally Ready upply) is increasing. Recommended method of Box-Jenkins' ARIMA can solve problems of these method and improve estimate accuracy. To compare recent prediction method and ARIMA that use mean squared error(MSE) is reacted sensitively in change of error. ARIMA has high accuracy than existing forecasting method. If apply this method of study in other several Items, can prove demand forecast Capability.

• Fire Science and Engineering
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• v.30 no.3
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• pp.124-132
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• 2016

Medical oversight (MO) means the advice and direction provided by a physician to rescue workers who provide medical care or carry patients at the scene of an emergency. The purpose of this study was to investigate the utilization of MO and related factors among some 119 rescue workers in Gwangju. A self-reported questionnaire was completed by 153 rescue workers in these 119 safety centers. The data were analyzed by SAS version 9.3. Overall 82.4% of the subjects utilized MO during the past month. In the multiple logistic regression analysis, the married subjects (OR = 3.87, 95% CI = 1.22~12.27), level 1 emergency medical technicians (OR = 2.87, 95% CI = 1.02~8.09), and subjects who treated cardiovascular emergency patients (OR = 9.19, 95% CI = 1.87~45.08) had significantly higher odds ratios for the utilization of MO. The experience of MO accounted for 82%. The development of strategies and education plans taking these results into consideration will help to improve the utilization of MO.

• Journal of Korean Society for Geospatial Information Science
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• v.20 no.3
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• pp.19-27
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• 2012

Wind is an important variable for various scientific communities such as meteorology, climatology, and renewable energy. In this study, numerical simulations using WRF mesoscale model were performed to produce temporal and spatial wind information over the Republic of Korea during 2006. Although the spatial features and monthly variations of the near-surface wind speed were well simulated in the model, the simulated results overestimated the observed values as a whole. To correct these simulated wind speeds, a regression-based statistical algorithm with different constants and coefficients by land cover type was developed using the satellite-derived LST and NDWI. The corrected wind speeds for the algorithm validation showed strong correlation and close agreement with the observed values for each land cover type, with nearly zero mean bias and less than 0.4 m/s RMSE. Therefore, the proposed algorithm using remotely sensed surface observations may be useful for correcting simulated near-surface wind speeds and producing more accurate wind information over the Republic of Korea.

• The Journal of the Korea Contents Association
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• v.12 no.9
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• pp.234-243
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• 2012

The purpose of this study was to estimate the prevalence of musculoskeletal symptoms and work-related factors of these symptoms in dental hygienists. The self-administered questionnaire was surveyed and collected from August 1-12 of 2011 targeting 210 dental hygienists Seoul, Gyeonggi, Daegu, Pohang. Except 5 people whose responses are not clear and who suffered accident, the analysis was made on 205 people. Data analysis was performed using the chi square test and multiple logistic regression analysis using the SPSS WIN(ver 18.0) program, RULA and, REBA. The overall Experience rate of musculoskeletal symptoms was 95.6% (196/205). The specific Experience rate of musculoskeletal symptoms for different regions of the body were as follows:The highest was shown 82.4% in Neck-shoulders(R), 78% in Neck, 69.8% in shoulders(R), 66.3%in Wrist(R). Therefore, Improvements of working environments in dental clinics are needed to prevent musculoskeletal disease development in dental hygienists.

• Journal of the Society of Naval Architects of Korea
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• v.29 no.1
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• pp.1-13
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• 1992

The objective of this study is to develop knowledge-based system for the preliminary design and midship section design of bulk carrier and to enhance the applicability of knowledge engineering in the field of Naval Architecture. First, expert system shell called E.1 is developed in C language. E.1 supports backward-chaining, automatic iteration procedure and reiterative inference mechanism for efficient application of knowledge-based system in structural design. Knowledge representation in E.1 includes IF-THEN rules, 'facts'and 'tables'. Second, knowledge bases for the principal particulars and midship section design are developed by experimental formula, design standard and experiential knowlege. Third, hybrid system combined this knowledge-based system with the optimization program of midship section is developed. Finally, the simplified design method utilizing the regression analysis of the optimum results of stiffened plate is developed for facilitating the design process. Using this knowledge-based system, the design process and results for Bulk carrier and stiffened plates are discussed. It is concluded that knowledge-based system is efficient for preliminary design and midship section design of the ship. It is expected that the performance of the CAD system would be enhanced if the better knowledge-base is accumulated in the E.1 tool.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.369-380
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• 2017

Purpose: This study was conducted to examine how nurse practice environment and organizational justice affected job embeddedness in the Small and Medium Sized Hospital Nurses. Methods: The data were collected from 233 nurses by means of self-reported questionnaires on August 23th to September 8th, 2017. Results: The model explained 49.7% of the total variance in job embeddedness scores. Hierarchical regression analysis showed that hospital nurses that had higher perceived nurse practice environment, higher organizational justice, and were older were more likely to have higher job embeddedness scores. Conclusion: To enhance nurses' job embeddedness, hospital and nurse leaders should improve nurse practice environment, particularly in relation to staffing and resource adequacy and collegial nurse-physician relations. Additionally, the nurse leaders can facilitate nurses' job embeddedness by creating and maintaining an organizational culture of fairness and justice.

• Journal of Convergence for Information Technology
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• v.9 no.12
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• pp.88-97
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• 2019

This study was conducted to identify factors affecting patient safety management (PSM) of nursing student's who have experienced clinical practice. The study subjects were 232 nursing students in five universities in five cities. Data were collected between June 17 and July 30, 2019 using by completing structured self report questionnaires. Data were analyzed using T-test, ANOV A, Pearson's correlation coefficient, and multiple regression using SPSS/WIN 22.0. In correlation ana lysis, significant positive correlations were found between PSM practice, PSM importance awareness (r= .42, p<.001), PSM knowledge(r= .29, p<.001), and PSM attitude(r= .35, p<.001). In multiple regressi on analysis, PSM importance awareness(β=.19, p<.001) was factor predicting PSM practice of nursing students, which explained 36.2% of the variance in the model. Thus, we emphasize that continuing PSM education at the university is required to improve PSM competency.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.329-338
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• 2019

The purpose of this study was conducted to determine the influence of perceptions of the campus environment and health perception on stress of nursing students. Data were collected from three nursing colleges from December 01 to December 30, 2016, and data were collected by 223 students using the SPSS/WIN 21.0 program. Result of this study, the general characteristics of differences in stress were age, experience of clinical practice, gender, type of housing, personality and eating habits type, and experience in using the school health center. Stress showed negative correlation between perceptions of the campus environment and health perception. Factors influencing stress were eating habits, gender, perceptions of the campus environment and health perception, and their explanatory power on stress was 23.1%. Therefore, to reduce the stress of nursing college students, various programs should be developed and operated to improve the perceptions of the campus environment and increase the perception of health.

• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.405-415
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• 2019

The purpose of this study was to identify the relationships between perceived stress, ego-resilience, and premenstrual syndrome(PMS) and investigate the factors affecting PMS in female college students. The study participants were 215 female college students in Gyeunggi province. Data were collected from October 10 to November 10, 2017, using self-report questionnaires. Collected data were analyzed using descriptive statistics, Pearson correlation coefficients, and multiple regression analysis. PMS was positively correlated with the perceived stress and negatively correlated with ego-resilience. Eating habits, interference with daily life by menstruation, perceived stress accounted for 44.4% of variance in PMS. Based on these results, it is necessary to develop a management program that integrates psychological factors and lifestyle improvement including dietary habits, as well as efforts to manage menstrual symptoms in order to alleviate the premenstrual syndrome of female college students.