• New & Renewable Energy
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• v.19 no.4
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• pp.98-107
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• 2023

A study was conducted to analyze data from 1981 to 2020 for understanding the impact of climate on solar energy generation. A significant increase of 104.6 kWhm^-2 was observed in the annual cumulative solar radiation over this period. Notably, the distribution of solar radiation shifted, with the solar radiation in Busan rising from the seventh place in 1981 to the second place in 2020 in South Korea. This study also examined the correlation between long-term temperature trends and solar radiation. Areas with the highest solar radiation in 2020, such as Busan, Gwangju, Daegu, and Jinju, exhibited strong positive correlations, suggesting that increased solar radiation contributed to higher temperatures. Conversely, regions like Seosan and Mokpo showed lower temperature increases due to factors such as reduced cloud cover. To evaluate the impact on solar energy production, simulations were conducted using climate data from both years. The results revealed that relying solely on historical data for solar energy predictions could lead to overestimations in some areas, including Seosan or Jinju, and underestimations in others such as Busan. Hence, considering long-term climate variability is vital for accurate solar energy forecasting and ensuring the economic feasibility of solar projects.

• Journal of Korean society of Dental Hygiene
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• v.16 no.3
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• pp.373-381
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• 2016

Objectives: The purpose of the study is to investigate the awareness toward use and service contents of long term care for the elderly. Methods: A self-reported questionnaire was completed by 296 adults from August 13 to October 20, 2014. The questionnaire consisted of general characteristics of the subjects, awareness toward long term care insurance for the elderly, awareness toward long term oral health care services, use of long term care service and use intention for the long term care insurance. Data were analyzed by SPSS 18.0 program. Results: Those who were aware of the long term care insurance accounted for 55.4 percent. Approximately 50 percent of the respondents recognized long term care service items, home visit care, home visit bathing, and home visit nursing. Most of the respondents had information of long term care services by way of mass media and direct contact. Only 13.4 percent of the respondents were aware of the oral health service in the long term care insurance. The subjects were aware of denture cleaning, oral cleaning and oral health education out of oral health service in order; and oral health services that needed to be offered were denture cleaning, oral health education and professional toothbrushing. They reported that dental hygienists were the most important manpower that offered the efficient oral health care services. They answered that professional manpower and financial support are required for oral health services. The positive thinking to long term care insurance accounted for 89.2 percent and 91.3 percent had use intention for oral health services. Conclusions: Many elderly people have mastication or dysphagic problems due to systemic diseases. Therefore, it is necessary to announce the long term care insurance and long term care services for the elderly people.

• The Journal of Industrial Distribution & Business
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• v.9 no.10
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• pp.83-89
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• 2018

Purpose - The purpose of this study examines when the optimism impact on financial asset price forecasting and the boundary condition of optimism in the financial asset price forecasting. People generally tend to optimistically forecast their future. Optimism is a nature of human beings and optimistic forecasting observed in daily life. But is it always observed in financial asset price forecasting? In this study, two factors were focused on considering whether the optimism that people have applied to predicting future performance of financial investment products (e.g., mutual fund). First, this study examined whether the degree of optimism varied depending on the direction of the prior price trend. Second, this study examined whether the degree of optimism varied according to the forecast period by dividing the future forecasted by people into three time horizon based on forecast period. Research design, data, and methodology - 2 (prior price trend: rising-up trend vs falling-down trend) × 3 (forecast time horizon: short term vs medium term vs long term) experimental design was used. Prior price trend was used between subject and forecast time horizon was used within subject design. 169 undergraduate students participated in the experiment. χ² analysis was used. In this study, prior price trend divided into two types: rising-up trend versus falling-down trend. Forecast time horizon divided into three types: short term (after one month), medium term (after one year), and long term (after five years). Results - Optimistic price forecasting and boundary condition was found. Participants who were exposed to falling-down trend did not make optimistic predictions in the short term, but over time they tended to be more optimistic about the future in the medium term and long term. However, participants who were exposed to rising-up trend were over-optimistic in the short term, but over time, less optimistic in the medium and long term. Optimistic price forecasting was found when participants forecasted in the long term. Exposure to prior price trends (rising-up trend vs falling-down trend) was a boundary condition of optimistic price forecasting. Conclusions - The results indicated that individuals were more likely to be impacted by prior price tends in the short term time horizon, while being optimistic in the long term time horizon.

• Journal of Society of Preventive Korean Medicine
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• v.22 no.2
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• pp.41-53
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• 2018

Objectives : It was to classify and its affecting factors to the patients of Korean medicine hospital with short term and long term hospitalization. Methods : I focused on long-term hospitalized patients. I was conducted on 344 hospitalized patients among the original data of usage and consumption of Korean medical report in 2014. Among those patients, I have classified them into long term inpatients(131 patients) and short term inpatients(213 patients) based on 16 days of hospitalization. Also multiple regression analysis was conducted to investigate the characteristics of the hospitalization, treatment satisfaction and dissatisfaction, the characteristics of long term hospitalization according to the sociodemographic of the subjects, the top 21 diseases and the distribution of human bodies, side effects and kinds of Korean medicine. Results : There was a statistically significant difference between the short term and long term hospitalized patients due to age, occupation, marital status, all 21 diseases and institutional fees, experience of Korean medical treatment due to traffic accidents. There was no significant difference in gender, education level, residence, income level, type of medical insurance, whether private insurance, type of medical treatment for Korean medicine, medical expenses for car accidents, reason for dissatisfaction with treatment. The number of long term patients at Korean medicine hospitals increased by a statistically significant by age in model 1 where confounding factors were differently controlled. In model 2, the number of long term patients at Korean medicine hospitals increased by a statistically significant by age, among those who earned 5,000,000 Korean won or more, and among those with nerve diseases. The number of long term patients at Korean medicine hospitals decreased by a statistically significant amount among the unemployed and others in model 2. In model 3, the number of long term patients at Korean medicine hospitals increased by a statistically significant by age, among those who earned 5,000,000 Korean won or more, and among those with nerve diseases, while the number decreased by a statistically significant amount among the married. Conclusions : These results suggest that the factors affecting the short term and long term hospitalization of patients with Korean medicine hospital are different from each other. Especially it was significant by age, over 5,000,000won Income per month, nerve disease, but decrease significant married.

• Proceedings of the Korea Concrete Institute Conference
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• 1999.04a
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• pp.813-818
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• 1999

The construction of large scale civil and building structures which form the base of social economy has been grown greatly. As the increasing of aged and deteriorated structures, it is necessary to evaluate the safety of those structures. The deterioration, safety evaluation, repair and rehabilitation are important problems in the construction area that every country faces. This paper presents the general information on how to conduct a data analysis of long-term monitoring system and evaluate the characteristics of surveying methods.

• Journal of Korea Trade
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• v.25 no.2
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• pp.46-57
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• 2021

Purpose - In terms of human resource management, many Korean enterprises in China have experienced problems such as frequent resignations of Chinese employees and labor disputes. This can be mainly attributed to the fact that Chinese employees are not consistent with Korean vertical management methods, which is closely related to the national culture theory proposed by Hofstede, specifically the dimension of power distance and long- versus short-term orientation (LTO). Therefore, this research aims to investigate cultural differences between Korea and China from these two dimensions, and the impact on the human resource management of Korean-invested enterprises in China. Design/methodology - This research first utilizes the latest data (Wave 7) of the World Values Survey (WVS) to verify the difference in power distance and long- versus short-term orientation between Korean and Chinese cultures using responses from Korea and China, and then uses case analysis to analyze the impact of this cultural difference on the human resource management of Korean enterprises in China. Findings - Our main findings can be summarized as follows. Korea and China have significant differences in power distance and long- versus short-term orientation. In terms of power distance, Korean respondents show higher power distance compared to Chinese respondents. In the dimension of long- versus short-term orientation, it was found that Chinese respondents showed a shorter-term orientation, whereas Korean respondents showed a longer-term orientation. Originality/value - Previous studies put focus on the power distance and individualism-collectivism dimensions to explain cultural differences between Korea and China, and generated contradictory results. This research further confirms the cultural differences between Korea and China from the dimensions of power distance and long-versus short-term orientation using secondary data. The comparative studies from this perspective have long been underexplored and lack empirical confirmation.

• Journal of Korean Academy of Nursing Administration
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• v.20 no.1
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• pp.95-105
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• 2014

Purpose: The purpose of this study was to examine trends in number of nursing staff and skill mix. Methods: Nursing staff and skill mix were measured using the number of nursing staff including nurse aids and registered nurses per bed. Descriptive and panel data regression analyses were conducted using data on long-term care hospitals which included yearly series data from 2006 to 2010 for 119 hospitals. Results: The number of nursing staff per bed increased significantly but percentage of registered nurses decreased significantly from 2007 to 2010. The regression model explained this variation as much as 34.9% and 43.8%. Conclusion: The results showed that in long-term care hospitals there were more nurse aids employed instead of registered nurses after the implemention of differentiated inpatient nursing fees. Thus clarifying the job descriptions for nurses and nurse aids is needed and appropriate hospital incentive policies should be implemented.

• Journal of Korean Academy of Nursing
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• v.39 no.3
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• pp.409-421
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• 2009

Purpose: In this research multi-level analysis was done to identify factors related to quality of services. Patient characteristics and organizational factors were considered. Methods: The data were collected from the Health Insurance Review and Assessment Service(HIRA) data base. The sample was selected from 17,234 patients who had been admitted between January 2007 and May 2008 to one of 253 long-term care hospitals located in Seoul, six other metropolitan cities or nine provinces The data were analyzed with SAS 9.1 using multi-level analysis. Results: The results indicated that individual level variables related to quality of service were age, cognitive ability, patient classification, and initial quality scores. The organizational level variables related to quality of service were ownership, number of beds, and turnover rate. The explanatory power of variables related to organizational level variances in quality of service was 23.72%. Conclusion: The results of this study indicate that differences in the quality of services were related to organizational factors. It is necessary to consider not only individual factors but also higher-level organizational factors such as nurse' welfare and facility standards if quality of service in long term care hospitals is to be improved.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.249-251
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• 2021

In this paper, we introduce the deep-learning system using Tensorflow for recognizing situations that can occur fall situations when the elderly are moving or standing. Fall detection uses the LSTM (long short-term memory) learned using Tensorflow to determine whether it is a fall or not by data measured from wearable accelerator sensor. Learning is carried out for each of the 7 behavioral patterns consisting of 4 types of activity of daily living (ADL) and 3 types of fall. The learning was conducted using the 3-axis acceleration sensor data. As a result of the test, it was found to be compliant except for the GDSVM(Gravity Differential SVM), and it is expected that better results can be expected if the data is mixed and learned.

• Korea Trade Review
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• v.46 no.6
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• pp.191-209
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• 2021

In this paper, various time series analysis models and machine learning models are presented for long-term prediction of export growth rate, and the prediction performance is compared and reviewed by RMSE and MAE. Export growth rate is one of the major economic indicators to evaluate the economic status. And It is also used to predict economic forecast. The export growth rate may have a negative (-) value as well as a positive (+) value. Therefore, Instead of using the ReLU function, which is often used for time series prediction of deep learning models, the PReLU function, which can have a negative (-) value as an output value, was used as the activation function of deep learning models. The time series prediction performance of each model for three types of data was compared and reviewed. The forecast data of long-term prediction of export growth rate was deduced by three forecast methods such as a fixed forecast method, a recursive forecast method and a rolling forecast method. As a result of the forecast, the traditional time series analysis model, ARDL, showed excellent performance, but as the time period of learning data increases, the performance of machine learning models including LSTM was relatively improved.