• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.11
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• pp.498-508
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• 2017

Purpose: The present study investigated nutrient supplement intake to examine the relationship between the health behaviors of nutrient supplement users and nonusers and nutrient supplement users and other drug users. The results provide baseline data to understand whether nutrient supplements actually perform as expected in view of the fact that healthy people that take nutritional supplements may become healthier, but may also develop nutritional supplement abuse problems. Among 7,006 household heads of 24,614 household members from the Korea Health Panel data in 2008, a total of 6,009 household heads were the respondents of the Korea Health Panel Survey (appendix) in 2009. Method: The subjects of the present study were targeted household heads. The respondents who reported that they had taken (planned to take) life/health promotion-related drugs (01. vitamins/nutritional supplements) for more than three months that were purchased at pharmacies during the past one year at the time of the survey were defined as nutritional supplement users. Those who took other drugs (05. hair-loss treatments, 06. obesity treatments, 10. others) were regarded as other drug users. A chi-squared test was performed to analyze the sociodemographic characteristics of the subjects and differences between groups. Multiple regression analyses were conducted to analyze health behaviors according to nutrient supplement intake. Result: Comparison of (A) nutritional supplement users and nonusers revealed that those who were women, 50 years or older, and spent more than average living expenses were more likely to take nutritional supplements, which was not significant in health behavior variables. Analysis of nutritional supplement users and other drug users (B) revealed that those who were high school graduates or above, had a spouse, were non-smokers, took drugs, ate regular meals, and were not stressed by economic or family conflicts were more likely to take nutritional supplements. Conclusion: The results of the present study indicated that people take nutritional supplements because of their psychological desire to be healthy, not because they are not healthy, have problems, or believe supplements will make them healthier.

• Journal of Korean Society of Environmental Engineers
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• v.30 no.7
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• pp.694-699
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• 2008

Considering the severe regulation associated with sludge treatment such as direct landfill and ocean dumping, there is no doubt in that an advanced study for the proper treatment of sludge is urgently needed in near feature. As one of viable method for sludge treatment, fry-drying of sludge by waste oil has been investigated in this study. The fundamental mechanism of this drying method lies in the phenomenon of rapid moisture escape in the sludge pore toward oil media. This is caused by the severe pressure gradient formed by the rapid oil heating between sludge and oil. As part of research effort of fry-drying using waste oil, a series of basic study has been made experimentally to obtain typical drying curves as function of important parameters such as drying temperature, drying time, oil type and geometrical shape of sludge formed. Based on this study, a number of useful conclusion can be drawn as following. The fry-drying method by oil immersion was found quite effective in the removal efficiency of sludge moisture, in general, the moisture content decreases significantly after 10 minutes and the whole moisture content was less than 5% after 14 minutes regardless of the drying temperature. The increase of oil temperature up to 140$^{\circ}C$ favors significantly for the removal of moisture but there was no visible difference above 140$^{\circ}C$. As expected, the decrease of diameter in sludge was efficient in drying due to the increased surface area per unit volume. Further, the effect of oil property by the change of oil type was noted. To be specific, for the case of engine oil the efficiency was found to be remarkably delayed in moisture evaporation compared with that of vegetable oil due to the increased viscosity of engine oil. It produced a result of increasing the evaporation of moisture largely relatively high in the drying temperature over 140$^{\circ}C$ compared with the drying temperature 120$^{\circ}C$ drying temperature as the drying time passed. Accordingly, the drying temperature is considered desirable as keeping over 140$^{\circ}C$ regardless of a sort of used oil.

• Journal of Korea Technology Innovation Society
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• v.20 no.1
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• pp.127-152
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• 2017

China's utility model as a supplement to the invention patent, has short application duration, fast authorized speed, and has the same exclusive rights with patents, so companies can quickly dominate the market. But the utility model does not need to carry out substantive examination, so has lower stability, high frequency of invalid to accepted, so compare with the invention patent, difficult to be protected. In order to actively encourage the small and medium-sized enterprises to promote their inventions, and protect domestic patents, China established a protection policy of patent evaluation report for the utility model rights, especially the patent evaluation report can be used as evidence in a patent infringement trial, to provide judicial remedies for utility model patentee and the party of patent disputes. Many experts believe that the establishment of patent evaluation report system can improve the stability of the utility model patent right, and when the defendant request for invalidation of the patent right in the defense period, if there is no novelty, creativity lost or no other reason has not led to the stability of patent right given in a patent evaluation report of the utility model patents, the court may not suspend the trial, without having to wait for the Patent Reexamination Board makes the patent invalid declaration decisions, can improve the efficiency of the judicial process, accelerate the patentee's time. However, in practical patent infringement, the patent evaluation report system and invalidation system are in conflict. In this paper, through the analysis of the current China utility model system and compared with the South Korean utility model system, review the role and character of the patent evaluation report system, and through the actual cases of the utility model patent infringement litigation, analysis possible variates from the decision of patent evaluation report, to find out the reason of the patent evaluation report system being in conflict with the invalidation system, and research on the effectiveness for protecting Utility Model with China's Patent Evaluation Report.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.1
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• pp.325-335
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• 2017

This study examined the effects of mothers' smartphone usage habits on young children's aggression and emotional intelligence. For this purpose, a total of 275 questionnaires from mothers in Jeonbuk Province with 3~5 year old young children, who had experiences in using smartphones, were analyzed, and the results are as follows. First, an analysis of the general trend of mother's smartphone usage habits showed that young children's aggression and emotional intelligence according to the general trend of mother's smartphone usage habits had a generally low rate and 'the tolerance and flow' had a high score among its sub-factors. The general trend of young children's aggression also showed a generally low rate, and 'status acquired aggression' had a high score among its sub-factors. The general trend of young children's emotional intelligence showed a moderate level, and a high score was observed in 'mother relation' among its sub-factors. Second, an analysis of the relationship between mother's smartphone usage habits, and young children's aggression and emotional intelligence showed that mother's smartphone usage habits had a positive correlation with the young children's aggression while it did not correlate with the young children's emotional intelligence. On the other hand, a negative correlation was observed between the virtual world orientation among the sub-factors of smartphone usage habits and the self-emotion awareness and expression among the sub-factors of emotional intelligence. Third, an analysis of the effects of mother's smartphone usage habits on children's aggression showed that all of mother's smartphone usage habits and its sub-factors had a negative effect on children's aggression. Fourth, an analysis of the effects of mother's smartphone usage habits on young children's emotional intelligence showed that none of mother's smartphone usage habits or its sub-factors had a significant effect.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.7
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• pp.301-310
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• 2016

This is a nonequivalent control group non-synchronized experiment research to verify the effect of moxibustion therapy on efficient management of daily living disabilities and sleep patterns in elderly women with chronic low back pain. Total 12 sessions of moxibustion therapy were applied to elderly women(30 subjects in an experimental group and 30 subjects in a control group) in G City once a week for 12 weeks from March 15th to May $31^{st}$ 2015. Then the follow-up study was conducted 2 weeks after the post survey. For moxibustion, was applied to Shen-shu, Ashi point, Ta chang shu, Yang kuan and Yosu. 5 sheets of moxibustion were applied to 7 acupuncture points of Mugeukboyang moxibustion; Zu san li & Chu chi, Chung wan, Chung chi & Shui tao, Fei shu, Kao hung and Tien shu, Wijung respectively and experimental treatment was conducted. For assessing the degree of back pain, Visual Analog Scale(VAS) developed by Scott & Huskisson(1979) was used and for measuring the degree of daily living disability, Oswestry Disability Index, which was developed by Fairbank et al(1980) and translated and revised by Yim, Hyeon-sul et al.(1998), was used. For measuring sleep patterns, the sleep pattern measurement tool developed by Oh, Jin-su, Song, Mi-soon and Kim, Sin-mi(1998) was used. For data analysis, SPSS/WIN 18.0 was employed and Chi-square test, t-test and repeated measures ANOVA were performed. There were significant differences in pain score(F=2510.32, p<.001), daily living disability score(F=1937.82, p<.001) and sleep pattern score((F=15.54, p<.001) of elderly women that were provided with moxibustion therapy, compared to the control group. Therefore, it was found that moxibustion therapy made a positive contribution to reduction in pain and daily living disabilities and improvement in sleep quality. Based on this study finding, there is a need to apply moxibustion therapy to elderly people with chronic low back pain as a nursing intervention in future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.6
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• pp.2607-2616
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• 2012

This study was designed to figure out patient safety culture of medical institutions and try to utilize the study results as basic data for analyzing doctor's awareness of patient safety culture. To this end, questionnaire survey was conducted from August 1st to September 5th, 2011, targeting doctors working at senior general hospitals located in G city, and 194 questionnaires were utilized for final analysis. The research results are as follows. First, there was a difference in awareness of deployment of staffs depending on gender, age, term of service in the hospital, contact with patients and working hours per week in relationship between subjects, wards and hospital safety culture, and organizational learning and teamwork in the ward turned out to be significant in accordance with working hours per week, and all sub-areas of the ward safety culture by departments. Second, feedback about the malpractice, communication, report on malpractice frequency and overall safety awareness were found to be significant by departments in relationship of subjects, medical incident reporting system, patient safety evaluation and overall level of consciousness, and the overall safety awareness showed significant results according to contact with patients and working hours per week. Third, there was a positive corelation in sub-areas of the ward and hospital safety culture awareness, overall recognition and patient safety evaluation, and a positive corelation with medical incident reporting system was found in all areas except for attitude of managers/immediate supervisors and that of hospital executives. Fourth, sub-areas of patient safety culture which has a effect on patient safety showed significant results in organizational learning, openness of communication, overall safety awareness, systematic cooperation between departments, feedback/communication and non-punitive response. In conclusion, to increase the level of the ward and hospital patient safety culture of doctors and implement medical incident reporting system faithfully, it is necessary to activate teamwork through organizational learning in the ward based on the adequate staffing and working hours, promote open communication between departments and provide feedback on medical malpractice, thereby establishing a cooperative system by departments and active support of hospital executives for patient safet.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.5
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• pp.1082-1090
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• 2009

Peak expiratory flow rate(PEF) is a very important diagnostic parameter obtained from the forced vital capacity(FVC) test. The expiratory flow rate increases during the short initial time period and may cause measurement error in PEF particularly due to non-ideal dynamic characteristic of the transducer. The present study evaluated the initial rise slope($S_r$) on the flow rate signal to compensate the transducer output data. The 26 standard signals recommended by the American Thoracic Society(ATS) were generated and flown through the velocity-type respiratory air flow transducer with simultaneously acquiring the transducer output signal. Most PEF and the corresponding output($N_{PEF}$) were well fitted into a quadratic equation with a high enough correlation coefficient of 0.9997. But only two(ATS#2 and 26) signals resulted significant deviation of $N_{PEF}$ with relative errors>10%. The relationship between the relative error in $N_{PEF}$ and $S_r$ was found to be linear, based on which $N_{PEF}$ data were compensated. As a result, the 99% confidence interval of PEF error was turned out to be approximately 2.5%, which was less than a quarter of the upper limit of 10% recommended by ATS. Therefore, the present compensation technique was proved to be very accurate, complying the international standards of ATS, which would be useful to calibrate respiratory air flow transducers.

• Journal of the Korean Applied Science and Technology
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• v.36 no.4
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• pp.1472-1484
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• 2019

This study aimed to verify the effects of nutritional status, K-ADL, K-IADL, and social network on the life satisfaction of the elderly in home. Total 213 research subjects participated in this study, and their average age was 71.38±5.59. As the methods of analysis, using the SPSS 21.0, this study examined the differences between variables in accordance with the general characteristics, and then verified the correlations between independent variables of nutritional status, K-ADL, K-IADL, social network(family networks, friends networks), and life satisfaction. In order to verify the factors having effects on the life satisfaction of the elderly in home, the stepwise multiple regression analysis was conducted. In the results of this study, in the general characteristics, the life satisfaction showed statistically significant differences in accordance with education(F=5.280, p=.002), economic condition(F=22.407, p<.001), monthly income(F=3.181, p=.015), and subjective health status(F=14.933, p<.001). In the results of verifying the correlation between independent variables, the life satisfaction showed positive correlations with family networks(r=268, p<.001) and friends networks(r=.286, p<.001) while the nutritional status(r=-.222, p=.001), K-IADL(r=-.235, p=.001), and interdependent social support(r=-.283, p<.001) showed negative correlations. The predictive factors on the life satisfaction of the elderly in home included the economic condition(β=.358, p<.001), subjective health status(β=.245, p<.001), interdependent social support(β=-.158, p=.009), and K-IADL(β=-.153, p=.012), and the explanatory power was 30.1%. The regression model was statistically significant(F=23.778, p<.001). Based on such results of this study, it would be necessary to develop programs that could maintain and improve the health of the elderly, and also provide financial support to the elderly suffering from economic hardship, in order to improve the life satisfaction of the elderly in home. Moreover, there should be the concrete measures for vitalizing the community-connected activities for interdependent social support.

• Journal of the Korean Applied Science and Technology
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• v.36 no.4
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• pp.1096-1107
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• 2019

This study on the physicochemical property of physiological activity substance in mung bean (Phaseolus aureus L.) was performed for the use as an functional food materialization. The proximate composition in the vacuum freeze dried mung bean was carbohydrate 57.20±0.29%, crude protein 26.40±0.69%, moisture 9.90±0.16%, crude ash 3.54±0.43%, and crude fat 2.96±0.26%, respectively. The vitamin content of mung bean was vitamin B₅ 0.62±0.013 mg/100 g, vitamin E 0.17±0.001 mg/100 g, vitamin B₁ 0.13±0.016 mg/100 g, and β-carotene 87.37±0.754 ㎍ RE/100 g, respectively. The mineral content of mung bean was potassium (K) 12,428.55±147.55 mg kg^-1, magnesium (Mg) 2,053.32±14.13 mg kg^-1, calcium (Ca) 1,966.40±14.53 mg kg^-1, sodium (Na) 1,063.99±7.75 mg kg^-1, iron (Fe) 63.77±0.98 mg kg^-1, and manganese (Mn) 14.67±0.22 mg kg^-1. The compositions of fatty acid were saturated fatty acid 29.23±0.03%, monoenes 20.30±0.04%, and polyenes 50.46±0.06%. Protein bound amino acid content of mung bean was 21.75±0.24 g%. And major amino acids were glutamic acid 3.93±0.03 g%, aspartic acid 2.68±0.03 g%, respectively. The composition of free amino acid of mung bean was 336.77±8.66 mg%, and major free amino acids were arginine, glutamic acid, asparagine, and aspartic acid. As a results of these experiment, Mung bean could be used a natural resouce and functional biohealth food substance.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.21-44
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• 2018

In recent years, the rapid development of internet technology and the popularization of smart devices have resulted in massive amounts of text data. Those text data were produced and distributed through various media platforms such as World Wide Web, Internet news feeds, microblog, and social media. However, this enormous amount of easily obtained information is lack of organization. Therefore, this problem has raised the interest of many researchers in order to manage this huge amount of information. Further, this problem also required professionals that are capable of classifying relevant information and hence text classification is introduced. Text classification is a challenging task in modern data analysis, which it needs to assign a text document into one or more predefined categories or classes. In text classification field, there are different kinds of techniques available such as K-Nearest Neighbor, Naïve Bayes Algorithm, Support Vector Machine, Decision Tree, and Artificial Neural Network. However, while dealing with huge amount of text data, model performance and accuracy becomes a challenge. According to the type of words used in the corpus and type of features created for classification, the performance of a text classification model can be varied. Most of the attempts are been made based on proposing a new algorithm or modifying an existing algorithm. This kind of research can be said already reached their certain limitations for further improvements. In this study, aside from proposing a new algorithm or modifying the algorithm, we focus on searching a way to modify the use of data. It is widely known that classifier performance is influenced by the quality of training data upon which this classifier is built. The real world datasets in most of the time contain noise, or in other words noisy data, these can actually affect the decision made by the classifiers built from these data. In this study, we consider that the data from different domains, which is heterogeneous data might have the characteristics of noise which can be utilized in the classification process. In order to build the classifier, machine learning algorithm is performed based on the assumption that the characteristics of training data and target data are the same or very similar to each other. However, in the case of unstructured data such as text, the features are determined according to the vocabularies included in the document. If the viewpoints of the learning data and target data are different, the features may be appearing different between these two data. In this study, we attempt to improve the classification accuracy by strengthening the robustness of the document classifier through artificially injecting the noise into the process of constructing the document classifier. With data coming from various kind of sources, these data are likely formatted differently. These cause difficulties for traditional machine learning algorithms because they are not developed to recognize different type of data representation at one time and to put them together in same generalization. Therefore, in order to utilize heterogeneous data in the learning process of document classifier, we apply semi-supervised learning in our study. However, unlabeled data might have the possibility to degrade the performance of the document classifier. Therefore, we further proposed a method called Rule Selection-Based Ensemble Semi-Supervised Learning Algorithm (RSESLA) to select only the documents that contributing to the accuracy improvement of the classifier. RSESLA creates multiple views by manipulating the features using different types of classification models and different types of heterogeneous data. The most confident classification rules will be selected and applied for the final decision making. In this paper, three different types of real-world data sources were used, which are news, twitter and blogs.