• PNF and Movement
• /
• v.16 no.3
• /
• pp.365-376
• /
• 2018

Purpose: This study investigates research trends in the Proprioceptive Neuromuscular Facilitation (PNF) and Movement journal. Methods: This study analyzes the frequency of keywords and their coincidences with medical subject headings (MeSH) over 15 years in 315 papers from volume 1, issue 1 to volume 15, issue 3 of a journal published by the Korean Proprioceptive Neuromuscular Facilitation Association. The research types and levels are also analyzed, and the journals are classified by subject, diagnosis, application of PNF, and technique used when PNF is applied. All of the variables are classified in five-year units and their trends are examined. Results: A total of 315 papers were published in 40 issues, and 1190 keywords were used over 15 years. The most frequently used keyword was "PNF." For the keywords that coincided with the MeSH, there were 235 (19.74%) complete coincidence words, 167 (14.03%) incomplete coincidence words, and 788 (66.21%) complete incoincidence words. Thus, the number of complete incoincidence words was the largest. For research types, there were 196 (61.90%) experimental studies, which was the most studied research type. For research levels, there were 155 (49.21%) Level 3 studies (non-randomized trial), which was the research level with the largest number of papers. Normal people were the most common subjects (121 cases, 38.41%), and the number of papers that did not use PNF was 187 (59.37%), which was larger than those that used PNF. The most frequently used combination technique was isotonics when PNF was used. Conclusion: Basic data on PNF-related research was obtained by analyzing papers published over the past 15 years. This information can be used to suggest future directions for PNF research.

• Journal of The Korean Society of Integrative Medicine
• /
• v.11 no.4
• /
• pp.189-198
• /
• 2023

Purpose: This study aims to investigate the preferences of hot spring users regarding the utilization of Asan's hot springs after the COVID-19 pandemic. Methods: A survey was conducted on 340 hot spring users visiting hot spring resorts in the Onyang, Dogo, and Asan hot spring districts. The survey was conducted twice from November 5th to November 7th, 2021, and from May 25th to 26th, 2022. The survey included general questions, such as the frequency of hot spring usage, the purpose of visits, and the intention for future visits. Specific questions were related to Asan hot springs, focusing on the reasons for choosing Asan, its perceived advantages, and improvement suggestions. Results: The survey revealed that the average number of visits to hot springs was less than five in the past five years, and the main reason for visiting was to recover from fatigue. A percentage of respondents said they would use hot springs more often when the COVID-19 pandemic ends. When asked about their reasons for visiting Asan hot springs, responses varied by age. However, across all groups, the majority considered "good water" as an advantage of Asan hot springs, while improvements to "hot spring facilities" was the highest response among all age groups. Thus, despite the decline in the number of customers due to COVID-19, the overall perception of hot springs remains positive. This suggests a promising future for the hot spring industry, with the potential for a return to pre-pandemic usage levels. Conclusion: These results provide valuable foundational data for informing policy development aimed at revitalizing the hot spring industry in the post-COVID-19 era.

• Journal of Family Resource Management and Policy Review
• /
• v.13 no.4
• /
• pp.141-169
• /
• 2009

This study investigated the effect of the money resource on the resource use behaviors of undergraduate students. The aim of the study was the examination of the relationship between undergraduate income and clothes-purchasing behavior. A total of 415 undergraduates residing in Gwangju City and Chonnam Province were interviewed by means of a questionnaire. SPSS 12.0 software was used for statistical analysis. Cronbach's $\alpha$, t-test, one-way ANOVA, Duncan's multiple range analysis and chi-square analysis were all conducted to acquire the results. The main results of this study are as follows. First, the average undergraduate income average was relatively high. Second, the motive for clothing purchases by undergraduates was to buy clothes similar to those which they already had. The undergraduates acquired their purchasing information from past experiences of buying clothes and considered design, quality and color when choosing their clothing. They purchased their clothes at retail stores and on average bought clothes about once a month. Although theaverage monthly expenditure on clothes was over 100,000 won, in general, the undergraduates spent between 50,000 and 100,000 won a month. They mainly paid cash when they purchased their clothes. Third, by analyzing the income, clothes-purchasing behavior, and clothes purchasing frequency of undergraduates, significant statistical differences in average monthly clothes expenditure and payment methods were detected. The results of the study can be used to understand the patterns of undergraduate money resource usage behaviors and can be utilized as an educational resource at home and within educational institutions.

• Journal of The Geomorphological Association of Korea
• /
• v.27 no.2
• /
• pp.65-80
• /
• 2020

This paper deals with risk assessment of life in a landslide-prone area by a GIS-based modeling method. Landslide susceptibility maps can provide a probability of landslide prone areas to mitigate or proper control this problems and to take any development plan and disaster management. A landslide inventory map of the study area was prepared based on past historical information and aerial photography analysis. A total of 550 landslides have been counted at the whole study area. The extracted landslides were randomly selected and divided into two different groups, 50% of the landslides were used for model calibration and the other were used for validation purpose. Eleven causative factors (continuous and thematic) such as slope, aspect, curvature, topographic wetness index, elevation, forest type, forest crown density, geology, land-use, soil drainage, and soil texture were used in hazard analysis. The correlation between landslides and these factors, pixels were divided into several classes and frequency ratio was also extracted. Eventually, a landslide susceptibility map was constructed using a logistic regression model based on entire events. Moreover, the landslide susceptibility map was plotted with a receiver operating characteristic (ROC) curve and calculated the area under the curve (AUC) and tried to extract a success rate curve. Based on the results, logistic regression produced an 85.18% accuracy, so we believed that the model was reliable and acceptable for the landslide susceptibility analysis on the study area. In addition, for risk assessment, vulnerability scale were added for social thematic data layer. The study area predictive landslide affected pixels 2,000 and 5,000 were also calculated for making a probability table. In final calculation, the 2,000 predictive landslide affected pixels were assumed to run. The total population causalities were estimated as 7.75 person that was relatively close to the actual number published in Korean Annual Disaster Report, 2006.

• Journal of The Geomorphological Association of Korea
• /
• v.26 no.3
• /
• pp.53-67
• /
• 2019

The purpose of this study is to identify the quality of landslide susceptibility in a landslide-prone area (Jinbu-myeon, Gangwon-do, South Korea) by spatial prediction modeling approach and compare the results obtained. For this goal, a landslide inventory map was prepared mainly based on past historical information and aerial photographs analysis (Daum Map, 2008), as well as some field observation. Altogether, 550 landslides were counted at the whole study area. Among them, 182 landslides are debris flow and each group of landslides was constructed in the inventory map separately. Then, the landslide inventory was randomly selected through Excel; 50% landslide was used for model analysis and the remaining 50% was used for validation purpose. Total 12 contributing factors, such as slope, aspect, curvature, topographic wetness index (TWI), elevation, forest type, forest timber diameter, forest crown density, geology, landuse, soil depth, and soil drainage were used in the analysis. Moreover, to find out the co-relation between landslide causative factors and incidents landslide, pixels were divided into several classes and frequency ratio for individual class was extracted. Eventually, six landslide susceptibility maps were constructed using the Bayesian Predictive Discriminant (BPD), Empirical Likelihood Ratio (ELR), and Linear Regression Method (LRM) models based on different category dada. Finally, in the cross validation process, landslide susceptibility map was plotted with a receiver operating characteristic (ROC) curve and calculated the area under the curve (AUC) and tried to extract success rate curve. The result showed that Bayesian, likelihood and linear models were of 85.52%, 85.23%, and 83.49% accuracy respectively for total data. Subsequently, in the category of debris flow landslide, results are little better compare with total data and its contained 86.33%, 85.53% and 84.17% accuracy. It means all three models were reasonable methods for landslide susceptibility analysis. The models have proved to produce reliable predictions for regional spatial planning or land-use planning.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.25 no.6
• /
• pp.121-130
• /
• 2021

Recently, the need for new approaches and recognition of safety and maintenance has been raised for small vulnerable facilities in Korea due to the acceleration of aging facilities, various safety accidents, and increased frequency of use. In particular, small vulnerable facilities(SVF), including most social welfare facilities, are facilities used by many of the vulnerable groups, and safety management is very important. Therefore, this study investigated various statuses based on safety inspection results (31,114 cases) conducted over the past 13 years (2008-2020) for small vulnerable facilities in Korea, and evaluated the characteristics of each field and safety and maintenance performance level. This aims to present policy directions for strengthening safety management of facilities for the vulnerable by using basic data such as improvement of safety standards and maintenance strategies for small vulnerable facilities in Korea in the future.

• The Journal of the Korea Contents Association
• /
• v.13 no.8
• /
• pp.348-359
• /
• 2013

The core of contents monetization is the consumer's willingness to pay. In the past, the terrestrial contents can be used through the frequency for free. As the terrestrial contents use via online services has been increased, the importance of willingness to pay for the broadcasting contents is getting bigger. To find critical factors which can influence on the willingness to pay for the terrestrial contents, independent factors are categorized into three. The independent factors are users' awareness for copyright protection, contents characteristics, and platform characteristics. The results show that attitude for paying, subjective norms for copyright protection, rapid providing of contents, quality of service, social critical point, and expected service value are found out as significant factors. This result implies that it is necessary to enhance platform competitiveness to survive in convergence environment and customer relationships should be reinforced to maintain them as loyal customers.

• Journal of Broadcast Engineering
• /
• v.25 no.4
• /
• pp.569-575
• /
• 2020

The serial arc is one of factors causing electrical fires. Over past decades, various researches have been carried out to detect arc occurrences. Even though frequency analysis, wavelet, and statistical features have been used, additional steps such as transformation and feature extraction are required. On the contrary, deep learning models directly use the raw data without any feature extraction processes. Therefore, the usage of time-domain data is preferred, but the performance is not satisfactory. To solve this problem, subsequent 1-D signals are transformed into 2-D data that can feed into a convolutional neural network (CNN). Experiments validated that CNN model outperforms deep neural network (DNN) by the classification accuracy of 8.6%. In addition, data augmentation is utilized, resulting in the accuracy improvement by 14%.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.3
• /
• pp.544-552
• /
• 2019

The purpose of this study was to find concrete measures to improve the subjective health level, happiness and quality of life of the elderly according to economic level and to propose social and policy alternatives accordingly. As a research method, 63,929 elderly people aged 65 or older were surveyed using the Community Health Survey (Indicator Bank) _v09, and the frequency of health use by economic level, subjective health level, euphoria and quality of life Analysis and Chi square analysis and independent t-test. Multi variate logistic regression analysis was performed with subjective health level as a dependent variable and multiple linear regression analysis was performed to determine the factors affecting euphoria and quality of life. The results of the study are as follows. In the case of recipients, medical use was lower than that of non-recipients, lower education level, female age of 75 years or older, and less stress, In case of present or past recipients, the result of non - receipt increased as the subjective health level was worse, and the non - recipient had higher euphoria and quality of life. As a result, there is a need for alternatives to increase opportunities for medical use among the recipients, with particular attention being paid to women and elderly people over 75 years old. It is expected to be used as a basic data to effectively improve the health promotion, happiness and quality of life of the elderly people of low income group.

• Journal of Environmental Health Sciences
• /
• v.27 no.2
• /
• pp.127-137
• /
• 2001

Polychlorinated biphenyls(PCBs) are halogenated aromatic compounds with the empirical formula $C_{12}$ $H_{10-n}$C $l_{n}$(n=1~10), and are a mixture of possible 209 different chlorinated congeners. PCBs were widely used as dielectric fluids for capacitors and transformers, plasticizers, lubricant inks and paint addirives. Once released into the environment, PCBs persist for years because they are so resistant to degradation. In addition to their persistence in the environment, PCBs in ecological food chains undergo biomagnification because of their high degree of lipophilicity. In 1970s, the worldwide production of PCBs was ceased and the import of PCBs was prohibited since 1983 in Korea. In spite of these actions, many PCBs seems to be still in use. The environmental load of PCBs will continue to be recycled through air, land, water, and the biosphere for decades to come. This study was conducted to measure the concentrations of PCBs in the serum samples of 112 women by GC/MSD and GC/ECD. The main results of this study were as follows. 1. PCBs were detected in all samples. The mean $\pm$SD levels of PCBs in the serum were 3.613$\pm$0.759 ppb, and median were 3.828 ppb. 2. The correlation coefficients of the concentrations of 13 PCB congeners were from minimum, 0.7913 to maximum, 0.9985, and all was significant(p=0.0001). The correlation coefficient between the concentrations of PCBs and p,p'-DDE was 0.9641(p=0.0001). 3. There was a positive association between age and PCBs' concentrations (simple linear regression ; $R^2$=0.86, $\beta$=0.08023, p<0.001). 4. There was a positive association between total lipids in the serum and PCBs' concentrations (simple linear regression ; $R^2$=0.7058, $\beta$=0.00486, p<0.001). 5. For possible predictors of PCBs and p,p' -DDE levels in the serum, age adjusted model (Y=$\beta$$_{0}$+$\beta$$_1$age+ $B_2$X) was applied. For BMI, major residential area, wether to eat caught fish by angling, where to eat caught fish by angling(by parents in the past), fish consumption, meat consumption, meat consumption, and dairy consumption, there was no association. For total conception frequency and lactation frequency and lactation period, there was negative association.ion.