• Journal of Korean Society of Coastal and Ocean Engineers
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• v.34 no.4
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• pp.109-118
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• 2022

The data of the missing section among the vertex surface sea temperature observation data was imputed using the Bidirectional Recurrent Neural Network(BiRNN). Among artificial intelligence techniques, Recurrent Neural Networks (RNNs), which are commonly used for time series data, only estimate in the direction of time flow or in the reverse direction to the missing estimation position, so the estimation performance is poor in the long-term missing section. On the other hand, in this study, estimation performance can be improved even for long-term missing data by estimating in both directions before and after the missing section. Also, by using all available data around the observation point (sea surface temperature, temperature, wind field, atmospheric pressure, humidity), the imputation performance was further improved by estimating the imputation data from these correlations together. For performance verification, a statistical model, Multivariate Imputation by Chained Equations (MICE), a machine learning-based Random Forest model, and an RNN model using Long Short-Term Memory (LSTM) were compared. For imputation of long-term missing for 7 days, the average accuracy of the BiRNN/statistical models is 70.8%/61.2%, respectively, and the average error is 0.28 degrees/0.44 degrees, respectively, so the BiRNN model performs better than other models. By applying a temporal decay factor representing the missing pattern, it is judged that the BiRNN technique has better imputation performance than the existing method as the missing section becomes longer.

• Journal of the Korean Applied Science and Technology
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• v.38 no.6
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• pp.1393-1404
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• 2021

The current study was conducted to understand the status of infection management through a survey on the status of awareness and performance of infection management and to improve efficient infection management and education programs of workers in long-term care institutions. The subjects of the study were 134 workers at 35 long-term care institutions in the C region, and data were collected from July 12 to 30, 2021. They agree to participate in research self reported structured questionnaire by SPSS program ver. 22.0. As a result of the study, the subject's awareness of infection management appeared to be a difference in accordance with occupation (F=3.181, p=.032) and education experience (F=6.372, p=.013). Also, factors influencing the subject's performance of infection management were occupation (F=3.972, p=.010) and education experience (F=4.403, p=.038). The relationship between awareness of infection management and performance resilience fined out a significantly positive correlation (r=.919, p<.001). As a result, for patient safety in long-term care institutions in the COVID-19 pandemic situation, it is very important for workers not only to recognize the importance of infection management but also to directly perform infection management activities. To this end, regardless of the size of the institution, it is necessary to prepare a systematic and continuous curriculum by occupation and educational topic, and to legally strengthen the evaluation system to improve the quality of the infection management system.

• The Journal of Information Technology
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• v.9 no.3
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• pp.77-89
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• 2006

The event study analyzes returns around event date at a time. Event study provides estimation periods and cumulative returns. Stock split announcements are generally associated with positive abnormal returns. It is important to investigate the responses of stocks to new information contained in the announcements of stock splits. So It is important to study the long term performance in the case of Stock Split. This Study forced to two approach method in evaluating the performance, the event time portfolio approach and calendar time portfolio approach. The event time portfolio approach exists the CAR model, BHAR model and WR model. And the calendar time portfolio approach has the 3 factor model, 4 factor model, CTAR model, and RATS model.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.6
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• pp.1079-1090
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• 2001

This paper suggest the importance of relationship marketing of the apparel store, and proved the relationship between the relationship marketing factors and the relationship quality and performance. In this research, department store is focused, Credence service, contact guest service, and communication service are defined as relationship marketing factors. Satisfaction and trust are defined as relationship quality. And long-term oriented relationship, repeat purchase. and positive word-of-mouth are set to performance. The questionnaire survey was carried out 238 20's & 30's women in the capital region during nov, 2000. SAS package program was used to analyze the gathered data. The investigation of this research reveals some results. First, relationship marketing factor has effects on relationship quality. Second, it is proved that relationship quality has effects on performance. In conclusion, it is proved that relationship marketing of apparel store is very important marketing strategy that make concrete relationship with consumer and give satisfaction and trust to consumer, and then can make partnership with consumer for long-term consideration.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.527-530
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• 2017

LTE-R(Long Term Evolution-Railway) based on LTE technology is expected to use core communication technology for high speed railway as one of standards for railway communications. In this paper, transmission performance of video traffic as an application is analyzed on LTE-R networks. Performance is evaluated with compter simulation based NS(Network Simulator)-2, open video traffic is used, RTP(Real Time Protocol) is used for transmission protocol. Results and methods of this paper can be used for research and developmemt of LTE-R networks.

• Journal of information and communication convergence engineering
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• v.19 no.4
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• pp.241-247
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• 2021

Particulate matter has emerged as a serious global problem, necessitating highly reliable information on the matter. Therefore, various algorithms have been used in studies to predict particulate matter. In this study, we compared the prediction performance of neural network models that have been actively studied for particulate matter prediction. Among the neural network algorithms, a deep neural network (DNN), a recurrent neural network, and long short-term memory were used to design the optimal prediction model using a hyper-parameter search. In the comparative analysis of the prediction performance of each model, the DNN model showed a lower root mean square error (RMSE) than the other algorithms in the performance comparison using the RMSE and the level of accuracy as metrics for evaluation. The stability of the recurrent neural network was slightly lower than that of the other algorithms, although the accuracy was higher.

• Korean Journal of Community Nutrition
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• v.20 no.3
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• pp.220-235
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• 2015

Objectives: The purpose of this study was to investigate how clinical nutrition services is provided at a long term care hospital in Korea and to investigate job satisfaction levels of the clinical dietitians. Methods: Survey questionnaire was sent to dietitians working at a long term care hospital in Korea. The participating hospitals (n=240) were randomly selected from 1,180 long- term care hospitals using a stratified sampling method. A total of 134 long term care hospital s and 223 dietitians completed the survey of clinical nutrition service s and job satisfaction questionnaires The job satisfaction questionnaire included 27 job satisfaction questions on task, stability vision, working conditions, and relationship areas. Results: The average nutritional screening rate was 17.9% and the rate of computerized nutritional screening system was 9.7% in the participating hospitals. Nutritional intervention rate was only 3.2% of all patients. KOIHA (Korea Institute for Healthcare Accreditation) accreditated hospitals showed only 50% performance rate of nutrition service evaluation area. This shows that after achieving KOIHA accredition, many hospitals do not emphasize the performance of nutritional services. The job satisfaction scores in all four areas ranged from 2/5 to 3/5, implying generally low job satisfaction level in hospital dietitians. Linear regression analysis results showed that the "hospital adequacy grade" type was a significant predictor of job satisfaction level for two areas (working conditions & relationship). Conclusions: There is a need to provide proper standardized clinical nutrition services as a primary treatment and we observed large variations in the quality of nutritional service s in long term care hospitals. Therefore, government and local hospitals have to work on implementing nutritional programs and policies for improved service and care.

• Wind and Structures
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• v.27 no.6
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• pp.357-368
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• 2018

For a long cable-stayed bridge, stay cables are its most important load-carrying components. In this paper, long-term monitoring of super-long stay cables of Sutong Bridge is introduced. A comprehensive data analysis procedure is presented, in which time domain and frequency domain based analyses are carried out. In time domain, the vibration data of several long stay cables are firstly analyzed and the standard deviation of the acceleration of stay cables, and its variation with time are obtained, as well as the relationship between in-plane vibration and out-plane vibration. Meanwhile, some vibrations such as wind and rain induced vibration are detected. Through frequency domain analysis, the basic frequencies of the stay cables are identified. Furthermore, the axial forces and their statistical parameters are acquired. To investigate the vibration deflection, an FFT-based decomposition method is used to get the modal deflection. In the end, the relationship between the vibration amplitude of stay cables and the wind speed is investigated based on correlation analysis. Through the adopted procedure, some structural parameters of the stay cables have been derived, which can be used for evaluating the component performance and corresponding management of stay cables.

• 한국노년학
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• v.30 no.1
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• pp.81-91
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• 2010

The purpose of this study was to test a validity and reliability of Cognitive Performance Scale(CPS), a cognitive measure generated from 5 items(comatose status, decision making, short-term memory, making self understood, and eating). Method: 393 patients in 2 hospitals for the elderly with dementia were measured with CPS by two nurses independently. The inter-rater agreement was tested by comparing two scores. The CPS score was compared with GDS, which was measured by doctors and nurses, and MMSE score which was drawn from the claim data of Health Insurance Review & Assessment Service. Result: The correlation coefficient between CPS and GDS was 0.742(p<0.0001), CPS and MMSE was -0.794(p<0.0001). The Cronbach's coefficient alpha of CPS was 0.742, Kappa value was 0.772~1.000. The CPS showed high validity and reliability in long term care hospitals of Korea.

• Korean Journal of Occupational Health Nursing
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• v.25 no.2
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• pp.118-129
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• 2016

Purpose: This study aims to examine the levels of the perception and work performance of patient safety based on the healthcare accreditation criteria among long-term care hospital nurses. Methods: A cross-sectional study was performed using questionnaires. Out of 205 criteria, 39 items relevant to patient safety were selectively adapted for this study. Data were analyzed with descriptive statistics, t-test, ANOVA, and Pearson correlation coefficient. Results: The mean scores of perception and work performance were 4.36 and 4.24 out of 5, respectively, and the difference between them was significantly different (t=5.78, p<.001). The two variables were both significantly higher among those nurses who were older, married, head nurses, had many nursing experiences, and aware of Healthcare Accreditation than the other nurses. Positive correlations were observed between perception and work performance in all three sub-systems. The relations between these two in the patient care system was the most highly correlated (r=.894, p<.001). The lowest scores of perception and work performances were fire-related criteria (i.e., reporting). Conclusion: Overall, subject's perception proves to be higher than their work performance. It is necessary to develop some viable environment and training programs to enhance their work performance up to the level of their perception of patient safety.