• Journal of Nutrition and Health
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• v.53 no.1
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• pp.13-26
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• 2020

Purpose: This study identified the relationship between dietary habits and health-related behaviors depending on the Big Five personality factors (extraversion, openness, agreeableness, conscientiousness, neuroticism). Methods: The NEO-II test was administered to 337 male and female college students in Seongnam City, Gyeonggi Province, and their dietary habits and health-related behaviors were surveyed. Results: The male participants showed higher scores for extraversion, openness, agreeableness, and conscientiousness compared to that of their female counterparts, while the female participants showed higher scores for neuroticism. As for the results of multivariate logistic regression analysis, in the case of men, higher scores for extraversion were related to a lower intake of instant/fast foods and a higher intake of vegetables; higher agreeableness scores were related to a lower intake of fruit; and higher neuroticism scores were related to a heavy intake of high-cholesterol foods. It was found that higher openness scores were associated with a higher intake of burnt fish/meat and a lower intake of animal fat, while higher agreeableness scores were related to a lower intake of burnt fish/meat in women. Also, those subjects with higher openness and agreeableness scores were found to better consider the nutritional balance when having a meal. In the case of the male participants, higher openness scores were related to increased physical activity, while higher neuroticism scores were related to increased smoking and a lack of sleep. As for the women, those with higher extraversion scores smoked more, while those who recorded higher agreeableness scores were involved in more physical activities. Conclusion: Differences were observed in dietary habits and health-related behaviors between men and women depending on personality factors, and the analysis results of some dietary habits according to personality factors were inconsistent with those of the overseas studies. Therefore, to provide customized nutritional counseling when considering each individual's personality factors, more research results from domestic samples should be collected and accumulated.

• Journal of Nutrition and Health
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• v.49 no.5
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• pp.378-394
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• 2016

Purpose: Screening of preschool-age children for nutrition programs to improve dietary intake and behaviors requires cost-effective and easily administered validated assessment tools. The purpose of this study was to develop a parent/caregiver-administered instrument for measuring diet quality and behaviors of preschoolers as a nutrition quotient for preschoolers (NQ-P). Methods: Development of NQ-P was carried out in three steps: item generation, item reduction, and validation. The 24-h dietary record was selected as the gold standard reference tool. The 38 items of the NQ-P checklist were derived from a systematic literature review, expert in-depth interviews, statistical analysis of the fifth Korean National Health and Nutrition Examination Survey data, and national nutrition policies and recommendations. Self-administered questionnaires were delivered to parents who recorded 24-h dietary intakes of 100 responders aged 3~5 yr. Pearson's correlation was used to measure the level of agreement between questionnaires. Item reduction was performed, and 20 items were selected based on survey results, expert reviews, and priorities of national nutrition policy and recommendations. The 412 nationwide subjects sampled through daycare centers completed the 20-item checklist questionnaire. The construct validity of the NQ-P was assessed using confirmatory factor analysis, LISREL. Results: After analyses of exploratory factors, NQ-P items identified three dimensions of diet (balance, moderation, and environment). The three-factor structure accounted for 49.28% of the total variance. Standardized path coefficients were used as weights of the items. The NQ-P and three-factor scores of the subjects were calculated by the obtained weights of the questionnaire items. Conclusion: A food behavior checklist for preschoolers' NQ would be a useful and suitable instrument for evaluating nutrition adequacy and dietary quality of Korean preschoolers.

• Journal of Korean Society of Environmental Engineers
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• v.28 no.8
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• pp.866-871
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• 2006

The nutrient recovery in phosphate crystallization process was investigated by using laboratory scale uptlow reactors, adopting sequencing batch type configuration. The industrial waste lime was used as potential cation source with magnesium salt($MgCl_2$) as control. The research was focused on its successful application in a novel integrated sludge treatment process, which is comprised of a high performance fermenter followed by a crystallization reactor. In the struvite precipitation test using synthetic wastewater first, which has the similar characteristics with the real fermentation effluent, the considerable nutrient removal(about 60%) in both ammonia and phosphate was observed within $0.5{\sim}1$ hr of retention time. The results also revealed that a minor amount(<5%) of ammonia stripping naturally occurred due to the alkaline(pH 9) characteristic in feed substrate. Stripping of $CO_2$ by air did not increase the struvite precipitation rate but it led to increased ammonia removal. In the second experiment using the fermentation effluent, the optimal dosage of magnesium salt for struvite precipitation was 0.86 g Mg $g^{-1}$ P, similar to the mass ratio of the struvite. The optimal dosage of waste lime was 0.3 g $L^{-1}$, resulting in 80% of $NH_4-N$ and 41% of $PO_4-P$ removal, at about 3 hrs of retention time. In the microscopic analysis, amorphous crystals were mainly observed in the settled solids with waste lime but prism-like crystals were observed with magnesium salt. Based on mass balance analysis for an integrated sludge treatment process(fermenter followed by crystallization reactor) for full-scale application(treatment capacity Q=158,880 $m^3\;d^{-1}$), nutrient recycle loading from the crystallization reactor effluent to the main liquid stream would be significantly reduced(0.13 g N and 0.19 g P per $m^3$ of wastewater, respectively). The results of the experiment reveal therefore that the reuse of waste lime, already an industrial waste, in a nutrient recovery system has various advantages such as higher economical benefits and sustainable treatment of the industrial waste.

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.23-45
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• 2020

Big data is creating in a wide variety of fields such as medical care, manufacturing, logistics, sales site, SNS, and the dataset characteristics are also diverse. In order to secure the competitiveness of companies, it is necessary to improve decision-making capacity using a classification algorithm. However, most of them do not have sufficient knowledge on what kind of classification algorithm is appropriate for a specific problem area. In other words, determining which classification algorithm is appropriate depending on the characteristics of the dataset was has been a task that required expertise and effort. This is because the relationship between the characteristics of datasets (called meta-features) and the performance of classification algorithms has not been fully understood. Moreover, there has been little research on meta-features reflecting the characteristics of multi-class. Therefore, the purpose of this study is to empirically analyze whether meta-features of multi-class datasets have a significant effect on the performance of classification algorithms. In this study, meta-features of multi-class datasets were identified into two factors, (the data structure and the data complexity,) and seven representative meta-features were selected. Among those, we included the Herfindahl-Hirschman Index (HHI), originally a market concentration measurement index, in the meta-features to replace IR(Imbalanced Ratio). Also, we developed a new index called Reverse ReLU Silhouette Score into the meta-feature set. Among the UCI Machine Learning Repository data, six representative datasets (Balance Scale, PageBlocks, Car Evaluation, User Knowledge-Modeling, Wine Quality(red), Contraceptive Method Choice) were selected. The class of each dataset was classified by using the classification algorithms (KNN, Logistic Regression, Nave Bayes, Random Forest, and SVM) selected in the study. For each dataset, we applied 10-fold cross validation method. 10% to 100% oversampling method is applied for each fold and meta-features of the dataset is measured. The meta-features selected are HHI, Number of Classes, Number of Features, Entropy, Reverse ReLU Silhouette Score, Nonlinearity of Linear Classifier, Hub Score. F1-score was selected as the dependent variable. As a result, the results of this study showed that the six meta-features including Reverse ReLU Silhouette Score and HHI proposed in this study have a significant effect on the classification performance. (1) The meta-features HHI proposed in this study was significant in the classification performance. (2) The number of variables has a significant effect on the classification performance, unlike the number of classes, but it has a positive effect. (3) The number of classes has a negative effect on the performance of classification. (4) Entropy has a significant effect on the performance of classification. (5) The Reverse ReLU Silhouette Score also significantly affects the classification performance at a significant level of 0.01. (6) The nonlinearity of linear classifiers has a significant negative effect on classification performance. In addition, the results of the analysis by the classification algorithms were also consistent. In the regression analysis by classification algorithm, Naïve Bayes algorithm does not have a significant effect on the number of variables unlike other classification algorithms. This study has two theoretical contributions: (1) two new meta-features (HHI, Reverse ReLU Silhouette score) was proved to be significant. (2) The effects of data characteristics on the performance of classification were investigated using meta-features. The practical contribution points (1) can be utilized in the development of classification algorithm recommendation system according to the characteristics of datasets. (2) Many data scientists are often testing by adjusting the parameters of the algorithm to find the optimal algorithm for the situation because the characteristics of the data are different. In this process, excessive waste of resources occurs due to hardware, cost, time, and manpower. This study is expected to be useful for machine learning, data mining researchers, practitioners, and machine learning-based system developers. The composition of this study consists of introduction, related research, research model, experiment, conclusion and discussion.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.30 no.4 s.48
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• pp.571-582
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• 2004

Recently the well-being, which is regarded as the new cultural code, has brought a new change in the cosmetic industry. The application of the functional products is getting mere and lots of functional cosmetics are now diversifying from the skin-care into the make-up as well as the herbal products. So the future in the market of functional cosmetic products is prospected to be positive. Therefore, cosmetic companies need an approach bases on the concept of the well-being. So to speak, they need to understand the needs of customers accurately from the customers point of view. Also it is a crucial issue that how the unique characteristics of functional cosmetic products as well as the development of products base on the concept of well-being make in balance. In this study, we attempt to inspect the advanced domestic market of the functional products due to the well-being trend and try to propose an option of making an advance it through the customers survey (for example, their need and their satisfaction on the functional products, etc) on the functional cosmetic products. For this purpose, it has been surveyed on adult female customers aged 19 to 60 located in Seoul and Gyeonggi province. 379 questionnaires among 510 were used in the final analysis. Collected data was analyzed using the statistical package for the social science (SPSS) program that can give the information about the general characteristics of the subjects like the frequency and percentage. And we used Cronbach's u reliability test, $x^2\;(chi-square)$ frequency analysis, t-test, and one-wat ANOVA to investigate the customers need, their degree of the satisfaction on the functional products of their own, factors of their perception on the quality on them. We think that the results of our study can act not only as the fundamental data on the customers need, their usage pattern, and their degree of the satisfaction, but also as the important tips of planning the marketing strategies.

• Journal of Chest Surgery
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• v.35 no.9
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• pp.653-658
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• 2002

The cause and clinical course of the postoperative ARDS is, as of yet, not very well understood. The current study is a review of our experience on patients with ARDS after thoracotomy. Material and Method: Between Jan. 1996 to Aug. 2001, a retrospective analysis was conducted on 32 post-thoracotomy ARDS patients among 4018 patients receiving thoracotomy inclusive of thoracoscopic surgery. Result: The incidence of ARDS after pneumonectomy cases was 5.3%(13/245), 1.3% after lobectomy(9/ 710), and 4.4% after esophageal surgery(10/226). Of the 32 ARDS patients, 31 had malignant disease. The remaining 1 patient had aspergillosis. In the majority, the cause of ARDS was unknown. The average onset was on the 7.4th postoperative day. In 10 cases, the initial lesion was in the right lower lung field(31.2%), in the left lower lung field in 9(28.1%), and in both lower lung fields in 12(37.5%) cases. In all, the initial lesion was in the lower lung fields in 96.9% of the cases(31/32). There was a significant relationship between the development of ARDS and intraoperative I/O balance. The overall mortality rate was 65.6%(21/32). In the earlier period of the study(1996-Jun, 1998) the mortality rate was 100%, but in the latter period(July, 1998-Aug, 2001) it was significantly reduced to 47.6%: Conclusion: The current data showed a higher incidence of postoperative ARDS in patients with malignant disease and in those receiving extensive lymph node dissection with either lobectomy or pneumonectomy, and also in patients receiving esophageal surgery. In addition, introperative fluid overload was also associated with an increased incidence of ARDS. Treatment outcome could be improved with prone positioning and NO gas inhalation.

• Journal of the Korean Institute of Landscape Architecture
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• v.36 no.2
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• pp.80-98
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• 2008

In the past, the purpose of urban landscape planning was to beautify cities. Now, that is changing as cities with their own characteristic identities and images are focusing on the making of livable cities. The subject of international competition is turning from a country objective to that of individual cities. To increase the attraction of the urban image will, therefore, be the most important and urgent policy in all cities. A city without global competitiveness will be demoted to a sub-city. This study intends to suggest strategic ways to improve the urban image suitable for Korean cities by the analysis and classification of the advanced cases in other countries. This study can be summarized as follows: 1. The image of cities is promoted by diverse strategies such as establishing landmarks, making meaningful places, hosting festivals and sports events, and making cultural policies. These strategies can be classified by three factors: the landscape and ecological factor, the historical and cultural factor, and the administrative and economic factor. 2. Korean cities are making efforts to promote their images through a variety of ways. Mega cities in Korea are steadily carrying out projects to use the administrative and economic factor such as expanding the infrastructure, supporting enterprises, advertising and marketing with accumulated capital. However, local small cities mainly depend on festivals and simple events or programs that are of interest but which lack characteristic identity. 3. Cities of advanced western countries are upgrading their images by finding and applying strategic methods to reflect characteristic identity and to keep in step with the changes of the times. On the other hand, cities in Japan try to promote urban image with traditional native festivals and with the making of livable places based on resident participation. The central government in Korea needs to establish a master plan considering the regional balance to improve the image of each city. Local governments should carry out these diverse strategic methods. The task after benchmarking advanced cities with beautiful landscapes will be to find an 'All-Korean Style' and apply it to cities with characteristic image.

• Journal of Korean Home Economics Education Association
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• v.32 no.3
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• pp.111-133
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• 2020

The purpose of this study is to analyze the contents of global citizenship education in the 2015 revision of Home Economics textbook and examine the relevance of global citizenship education in the subject of Home Economics. To this end, the contents of global citizenship education included in the 2015 revision of middle school Home Economics textbook were extracted and analyzed from the viewpoint of the UNESCO Topics and Learning Objectives (TLO), according to the procedure of the concurrent triangulation design. When the frequencies of inclusion of the 9 topics of TLOs were counted, about 54.6% of global citizenship education(GCED) content covered in the 2015 revision of Home Economics textbooks in total was related to the socio-emotional aspects. In particular, TLO 4 (Different levels of identity) showed the highest ratio, followed by TLO 5(Different communities people belong to and how these are connected) and TLO 1 (Local, national and global systems and structures). As a result of categorizing global citizenship education learning topics extracted from Home Economics textbooks of middle school by Home Economics sub-topic area, the child and family(94) area showed the greatest relevance to all learning topics. Food and nutrition(13), clothing(13), housing(15), and consumption (14) showed similar distributions of learning subjects. Child and family area is related to global citizenship education in the topics of adolescent development and its characteristics, family relations, sexual and domestic violences prevention, change in family structures and healthy families, aging society and work-family balance, and life planning and career exploration. The food and nutrition area is related to global citizenship education in the topics of nutrition and eating behavior, and adolescents' food selection and safe cooking. The topic of clothing management and recycling of clothing area, housing culture, residential space utilization, and residential life and safety of housing area, consumer life in adolescence of consumption area were related to the learning subject of global citizenship education. As such, high relations between GCED learning topics and Home Economics learning content elements were found. It is expected that the data of this study will be used as basic data for program development, class improvement, and textbook development with global citizenship education as a content element in Home Economics education.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.4
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• pp.233-244
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• 2018

The purpose of this study was to improve awareness of network marketing business in South Korea, which takes a quite negative view of network marketing, to raise awareness of "starting up a business" as independent business owners, to assist them in building their own subjecthood in network business and entrepreneurial identity, and ultimately to give some suggestions on how to improve their self-directed entrepreneurial competency and the quality of their business management. To make an empirical analysis of 121 independent business owners of Korean native network marketing, the personal and background variables of the entrepreneurs were selected as independent variables, and entrepreneurship was selected as a mediator variable. The selected dependent variables were financial and non-financial business performances. A multiple regression analysis was conducted by inputting the variables. The findings of the study were as follows: It produced an effect of more financial performance when the innovation of the independent business owners of network marketing was better, and this innovation was possible to have only when they improved in entrepreneurial efficacy and locus of control. In contrast, only authenticity had an effect on boosting non-financial business performance among the factors of entrepreneurship. To have authenticity, it's necessary to strengthen achievement needs and awareness of locus of control among the personal characteristics of the independent business owners of network marketing. Among the factors of entrepreneurship, there was better authenticity when their personal networks were broader among their background characteristics. In addition, self-efficacy that was one of personal characteristics made a direct contribution to the enhancement of non-financial performance. As a result, independent business owners of network marketing are required to hold a strong belief in their own business, to be active in business activities and to have a high efficacy as spontaneous principal agents, and they also are required to have more adventurous, planned, active and propulsive achievement needs that enable them to attain the goals of their business and keep moving forward. Besides, they should foster their locus-of-control competency that is to control, endure and be responsible for a variety of phenomena or incidents that they face, and there will be better financial performance or non-financial performance only when they demonstrate their self-belief and confidence and when they have faith in and conviction about themselves. For independent business owners of network marketing, a consumer-centered thinking that entails authenticity and trustworthiness and touches the hearts of customers is a more effective marketing strategy than an egocentric thinking as sellers when they approach customers. And they are expected to make progress in terms of the quality of business management when their business attachment or enthusiasm is great enough to match their own efficacy with entrepreneurial identity or strike a balance between them.

• Korean Journal of Remote Sensing
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• v.33 no.5_3
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• pp.855-866
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• 2017

Several research cases using remote sensing methods to analyze changes of storage and dynamics of groundwater aquifer were reviewed in this paper. The status of groundwater storage, in an area with regional scale, could be qualitatively inferred from geological feature, surface water altimetry and topography, distribution of vegetation, and difference between precipitation and evapotranspiration. These qualitative indicators could be measured by geological lineament analysis, airborne magnetic survey, DEM analysis, LAI and NDVI calculation, and surface energy balance modeling. It is certain that GRACE and InSAR have received remarkable attentions as direct utilization from satellite data for quantification of groundwater storage and dynamics. GRACE, composed of twin satellites having acceleration sensors, could detect global or regional microgravity changes and transform them into mass changes of water on surface and inside of the Earth. Numerous studies in terms of groundwater storage using GRACE sensor data were performed with several merits such that (1) there is no requirement of sensor data, (2) auxiliary data for quantification of groundwater can be entirely obtained from another satellite sensors, and (3) algorithms for processing measured data have continuously progressed from designated data management center. The limitations of GRACE for groundwater storage measurement could be defined as follows: (1) In an area with small scale, mass change quantification of groundwater might be inaccurate due to detection limit of the acceleration sensor, and (2) the results would be overestimated in case of combination between sensor and field survey data. InSAR can quantify the dynamic characteristics of aquifer by measuring vertical micro displacement, using linear proportional relation between groundwater head and vertical surface movement. However, InSAR data might now constrain their application to arid or semi-arid area whose land cover appear to be simple, and are hard to apply to the area with the anticipation of loss of coherence with surface. Development of GRACE and InSAR sensor data preprocessing algorithms optimized to topography, geology, and natural conditions of Korea should be prioritized to regionally quantify the mass change and dynamics of the groundwater resources of Korea.