• Sleep Medicine and Psychophysiology
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• v.13 no.2
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• pp.45-51
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• 2006

Obstructive sleep apnea (OSA) syndrome disrupts normal sleep. However, there were few studies to evaluate the asymmetric distribution, the one of the important factors of normal sleep in OSA subjects. We hypothesized that asymmetry would be broken in OSA patients. 49 male subjects with the complaint of heavy snoring were studied with polysomnography. We divided them into two groups based on the apnea-hypopnea index (AHI) fifteen: 13 simple snoring group (SSN, average AHI $5.9{\pm}4.4$) and 32 OSA group (average AHI $47.3{\pm}23.9$). We compared split sleep variables between the first half and the second half of sleep within each group with paired t-test for the evaluation of asymmetry. Changes of sleep architecture of OSA were higher stage 1 sleep% (S1), total arousal index (TAI), AHI, and mean heart rate (HR) and lower stage 2 sleep% (S2), REM sleep%, and mean arterial O2 saturation (SaO2) than SSN subjects. SWS and wake time after sleep onset (WASO) were not different between two groups. In split-night analysis, OSA subjects showed higher S2, slow wave sleep% (SWS), spontaneous arousal index (SAI), and mean HR in the first half, and higher REM sleep% and mean SaO2 in the second half. Those were same pattern as in SSN subjects. Mean apnea duration and longest apnea duration were higher in the second half only in the OSA. No differences of AHI, ODI, WASO, and S1 were found between the first and the second half of sleep in both groups. TAI was higher in the first half only in the SSN. SWS and WASO seemed to be influenced sensitively by simple snoring as well as OSA. Unlike our hypothesis, asymmetric distributions of major sleep architecture variables were preserved in OSA group. Losing asymmetry of TAI might be related to pathophysiology of OSA. We need more studies that include large number of subjects in the future.

• Journal of Korean Society of Forest Science
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• v.85 no.1
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• pp.1-14
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• 1996

The object of this study was to examine the effects of air pollution on forest vegetation structure in the vinicity of Sasang industrial complex in Korea. Forest vegetation structure was investigated at 19 sample plots surrounding industrial complex and at one site away from industrial complex as a control. The results obtained were as follows; 1. For analysis of vegetation structure, upperstory of forests was mostly consisted of Pinus thunbergii, and partly of Alnus firma and Robinia pseudoacacia. In midstory, major components were Pinus thunbergii, Robinia pseudoacacia, Rhus trichocarpa, Rhus chinensis and Styrax japonica, In lower story, Pinus thunbergii was a minor component, while Robinia pseudoacacia, Quercus serrata, Rhus trichocarpa. and Rhododendron yedoense var. poukhanense which were known to be resistant to air pollution were found in large number. Especially, importance percentage of Robinia pseudoacacia was high, while that of Rhododendron mucronulatum was low in surrounding industrial complex. 2. For woody plants, number of species, species diversity and similarity index in industrial complex, were not significantly different from those in control plot. 3. For herbs, Oplismenus undulatifolius appeared in large number in most plots. The $SDR_3$ of Miscanthus sinensis, Calamagrostis arundinacea, Paederia scandens, Spodiopogon cotulifer and Carex humilis were high, but that of Aster scaber, Saussurea seoulensis, Solidago virgaaurea var. asiatica and Prunella vulgaris var. lilacina were low in the vicinity of industrial complex. 4. Number of herb species decreased to below 10 species at surrounding industrial complex as compared to 20 species in the control plot. In addition species diversity, and similarity index in the industrial complex were lower than those in control plot. It may be concluded that Pinus thunbergii forests in industrial complex consists of tree species resistant to air pollution, and that composition of woody vegetation in industrial complex was not much different from control plot, while composition of herbs was already quite different between the two plots. Forest vegetation structure, therefore, may change with time due to air pollution in the industrial complex.

• Journal of Korean Home Economics Education Association
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• v.19 no.4
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• pp.91-117
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• 2007

This study was to compare the contents and practical problems addressed, the process of teaching-learning method, and evaluation method of Korean Home Economics curriculum and of the Oregon and Ohio's Practical Problem Focused Family & Consumer Sciences Curricula. The results are as follows. First, contents of Korean curriculum are organized by major sub-concepts of Home Economics academic discipline whereas curricular of both Oregon and Ohio states are organized by practical problems. Oregon uses the practical problems which integrate multi-subjects and Ohio uses ones which are good for the contents of the module by integrating concerns or interests which are lower or detailed level (related interests). Since it differentiates interest and module and used them based on the basic concept of Family and Consumer Science, Ohio's approach could be easier for Korean teachers and students to adopt. Second, the teaching-learning process in Korean home economics classroom is mostly teacher-centered which hinders students to develop higher order thinking skills. It is recommended to use student-centered learning activities. State of Oregon and Ohio's teaching-learning process brings up the ability of problem-solving by letting students clearly analyze practical problems proposed, solve problems by themselves through group discussions and various activities, and apply what they learn to other problems. Third, Korean evaluation system is heavily rely on summative evaluation such as written tests. It is highly recommended to facilitate various performance assessment tools. Since state of Oregon and Ohio both use practical problems, they evaluate students mainly based on their activity rather than written tests. The tools for evaluation include project documents, reports of learning activity, self-evaluation, evaluation of discussion activity, peer evaluation in a group for each students for their performance, assessment about module, and written tests as well.

• Journal of Korean Home Economics Education Association
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• v.19 no.4
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• pp.153-173
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• 2007

The purpose of this study is to investigate the middle school students' allowance managing behaviors and consumer education by the educational subject in order to explore a desirable direction of consumer education for allowance management. Questionnaire survey was conducted with 468 middle school students in Gyeongnam. The major findings are as follows: First, as for recognition of consumer education, the consumer education from home was the highest, and then the from school and mass media followed in that order. Second, the average score of the students' allowance managing behavior was low. The fulfillment ability was relatively high compared to planning and evaluative ability. Third, as for overall allowance managing behaviors, the more promoted a students' level of consumer education from school and mass media, the more cultivated his/her allowance managing behaviors. As for allowance managing behaviors in accordance with sub-factors, students' planning and fulfillment abilities were more cultivated, the more promoted his/her level of consumer education from school and mass media. Students' evaluative ability was more cultivated, the more promoted his/her level of consumer education from school and mass media. Fourth, there were differences in educational contents the students wanted in accordance with the educational subjects of consumer education. The consumer education can be more practical when it is connected with home, school, and mass media, development of an educational program with such connection is necessary.

• Journal of Korean Home Economics Education Association
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• v.31 no.4
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• pp.1-18
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• 2019

The purpose of this study was to analyze the research trend in home economics education using network text analysis method. The 586 research articles published in the Journal of Home Economics Education Association between July, 2003 and December 2018 were examined using Neckinger 4, a social network analysis software. The frequency and centrality measures(degree centrality, closeness centrality, and betweenness centrality) were calculated for the words appeared throughout the whole period, and the centrality analysis and LAD(Latent Dirichlet Allocation) were conducted for the four sub-periods. The results are as follows: first, the most frequently appeared words are parents, culture, unit, health, career, consumption, practicality, etc. The words such as parents and management scored high in degree centrality; parents and male students in closeness centrality; and male students and units in betweenness centrality. Second, when divided into four periods, the words such as education, family, purpose, class, middle school, and school appeared most frequently across the periods; but some words such as 'purpose' (in period 3 and 4), or 'process' (in period 4) were salient only in certain periods. Third, the words with high centrality were consistent regardless of the types of centrality within each period. Fourth, the topic analysis using LAD showed that curriculum, textbook, family healthiness, teaching-learning, evaluation, dietary life, appearance management, and consumption were the topics consistently appeared across all periods. The topics have become diversified and deepened. New topics such as teacher training and safety appeared in later periods, possibly due to the curriculum and national policy changes, and housing as a less represented topic is suggested as an area that needs further research attention. This study has implication in that it allows researchers to identify the major research interests and the trends in research by researchers in home economic education.

• Journal of Korean Home Economics Education Association
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• v.31 no.4
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• pp.41-62
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• 2019

The purpose of this study was to examine how the contents and pedagogical styles of Food and Nutrition in the middle school home economics textbooks could promote constructivist learning. For this, Food and Nutrition contents of 12 current textbooks were analyzed, based upon the learning factors derived from both a practical problem-focused curriculum from the constructivist perspective, and the current home economics curriculum from the objectivist perspective. Pedagogical styles of the texts and exercises were classified into four types- neutral informative, injunctive, persuasive, and participative, out of which 'persuasive' and 'participative', in particular reflect the constructivist perspective. The major findings were as follows: First, the analysis results of Food and Nutrition contents showed that of 14 learning factors, 13 of the textbooks corresponded well to the current curriculum(92.9%). On the other hand, Out of the 26 learning factors, 18 of the textbooks corresponded to the practical problem-focused curriculum(72.4%). Classified into each stage of the practical problem solving processes, only learning factors related with 'the concepts of the valued ends' were fully covered. However, the other learning factors related with the concepts of 'the practical problem', 'the context', 'the action' and 'the consequence', that is the factors particularly related with 'the concepts of the context', were not properly addressed. Besides, learning factors were not addressed from diverse viewpoints, especially from the social perspective. Second, the analysis of pedagogical style related to Food and Nutrition illustrated that the neutral informative(59.9%) in texts, and the participative in exercises(60.4%), were most common. However, persuasive and participative were insufficient in texts(22.1%). Furthermore even though the exercises, are more likely to be described from the constructivist perspective, nearly none of the exercises was considered from the social perspective. In conclusion, this study showed that Food and Nutrition in Korean home economics textbooks need to reflect constructivist learning better.

• Journal of Korean Home Economics Education Association
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• v.31 no.3
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• pp.179-192
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• 2019

This study was performed to analyze the contents of food intake in middle school Home Economics textbook and the trends of food intake of middle school students in Korea to figure out the education direction of food intake. The contents of food intake were analyzed in major three kinds of middle school Home Economics textbook according to 2015 curriculum and the trends of food and nutrient intake were analyzed in 2,543 subjects aged 13 to 15 years using 2007~2015 Korea National Health and Nutrition Examination survey by logistic regression analysis or Pearson correlation coefficient. As a result, contents of food intake of textbook included food source of nutrient, food group name, necessity of eating diverse foods, recommended daily eating frequency of food group and menu planning according to meal composition guideline, however food intake trends were not included. Consumption of grains and grain products was increased until 2007 to 2010 year and was decreased after 2011 year(p=0.0012). Sugars and sweets, beverages and alcohols, and fish and shellfish consumption were increased during 2007~2015 year(p<0.0001). Carbohydrate, fat, vitamin A, thiamin and iron intakes were increased(p=0.0052), and energy ratio by carbohydrate was decreased(p=0.0009) and energy ratio by fat was increased(p<0.0001) during 2007~2015 year. Mean ratios of nutrient intake compared to the dietary reference intakes for Koreans were very low in dietary fiber(19-27%) and calcium(46-56%), but was higher in sodium(221-289%)(p<0.0001) regardless of year. There was a significant positive correlation between most food group intakes except sugars and sweets, bean and bean products, nuts and seeds, seaweeds, and beverages and alcohols and energy, protein, dietary fiber, vitamin A, riboflavin, calcium and iron intakes(p=0.0375). In the above, during the period from 2007 to 2015 year, intakes of sugars and sweets, beverages and alcohols, and fish and shellfish were increased, and intakes of dietary fiber and calcium were low and energy ratio by fat was increased, thus these trends are concerned to threaten nutritional balance and health of subjects. Therefore, Home Economics textbook of middle school needs to include food intake trends of adolescents with basic concepts to help them maintain balanced diet in the rapid change of food intake patterns for maintaining optimal nutrition and health.

• Journal of Intelligence and Information Systems
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• v.16 no.4
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• pp.67-84
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• 2010

In terms of business, forecasting is a work of what is expected to happen in the future to make managerial decisions and plans. Therefore, the accurate forecasting is very important for major managerial decision making and is the basis for making various strategies of business. But it is very difficult to make an unbiased and consistent estimate because of uncertainty and complexity in the future business environment. That is why we should use scientific forecasting model to support business decision making, and make an effort to minimize the model's forecasting error which is difference between observation and estimator. Nevertheless, minimizing the error is not an easy task. Case-based reasoning is a problem solving method that utilizes the past similar case to solve the current problem. To build the successful case-based reasoning models, retrieving the case not only the most similar case but also the most relevant case is very important. To retrieve the similar and relevant case from past cases, the measurement of similarities between cases is an important key factor. Especially, if the cases contain symbolic data, it is more difficult to measure the distances. The purpose of this study is to improve the forecasting accuracy of case-based reasoning approach using fuzzy relation and composition. Especially, two methods are adopted to measure the similarity between cases containing symbolic data. One is to deduct the similarity matrix following binary logic(the judgment of sameness between two symbolic data), the other is to deduct the similarity matrix following fuzzy relation and composition. This study is conducted in the following order; data gathering and preprocessing, model building and analysis, validation analysis, conclusion. First, in the progress of data gathering and preprocessing we collect data set including categorical dependent variables. Also, the data set gathered is cross-section data and independent variables of the data set include several qualitative variables expressed symbolic data. The research data consists of many financial ratios and the corresponding bond ratings of Korean companies. The ratings we employ in this study cover all bonds rated by one of the bond rating agencies in Korea. Our total sample includes 1,816 companies whose commercial papers have been rated in the period 1997~2000. Credit grades are defined as outputs and classified into 5 rating categories(A1, A2, A3, B, C) according to credit levels. Second, in the progress of model building and analysis we deduct the similarity matrix following binary logic and fuzzy composition to measure the similarity between cases containing symbolic data. In this process, the used types of fuzzy composition are max-min, max-product, max-average. And then, the analysis is carried out by case-based reasoning approach with the deducted similarity matrix. Third, in the progress of validation analysis we verify the validation of model through McNemar test based on hit ratio. Finally, we draw a conclusion from the study. As a result, the similarity measuring method using fuzzy relation and composition shows good forecasting performance compared to the similarity measuring method using binary logic for similarity measurement between two symbolic data. But the results of the analysis are not statistically significant in forecasting performance among the types of fuzzy composition. The contributions of this study are as follows. We propose another methodology that fuzzy relation and fuzzy composition could be applied for the similarity measurement between two symbolic data. That is the most important factor to build case-based reasoning model.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.149-162
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• 2014

Course guidance is a mentoring process which is performed before students register for coming classes. The course guidance plays a very important role to students in checking degree audits of students and mentoring classes which will be taken in coming semester. Also, it is intimately involved with a graduation assessment or a completion of ABEEK certification. Currently, course guidance is manually performed by some advisers at most of universities in Korea because they have no electronic systems for the course guidance. By the lack of the systems, the advisers should analyze each degree audit of students and curriculum information of their own departments. This process often causes the human error during the course guidance process due to the complexity of the process. The electronic system thus is essential to avoid the human error for the course guidance. If the relation data model-based system is applied to the mentoring process, then the problems in manual way can be solved. However, the relational data model-based systems have some limitations. Curriculums of a department and certification systems can be changed depending on a new policy of a university or surrounding environments. If the curriculums and the systems are changed, a scheme of the existing system should be changed in accordance with the variations. It is also not sufficient to provide semantic search due to the difficulty of extracting semantic relationships between subjects. In this paper, we model a course mentoring ontology based on the analysis of a curriculum of computer science department, a structure of degree audit, and ABEEK certification. Ontology-based course guidance system is also proposed to overcome the limitation of the existing methods and to provide the effectiveness of course mentoring process for both of advisors and students. In the proposed system, all data of the system consists of ontology instances. To create ontology instances, ontology population module is developed by using JENA framework which is for building semantic web and linked data applications. In the ontology population module, the mapping rules to connect parts of degree audit to certain parts of course mentoring ontology are designed. All ontology instances are generated based on degree audits of students who participate in course mentoring test. The generated instances are saved to JENA TDB as a triple repository after an inference process using JENA inference engine. A user interface for course guidance is implemented by using Java and JENA framework. Once a advisor or a student input student's information such as student name and student number at an information request form in user interface, the proposed system provides mentoring results based on a degree audit of current student and rules to check scores for each part of a curriculum such as special cultural subject, major subject, and MSC subject containing math and basic science. Recall and precision are used to evaluate the performance of the proposed system. The recall is used to check that the proposed system retrieves all relevant subjects. The precision is used to check whether the retrieved subjects are relevant to the mentoring results. An officer of computer science department attends the verification on the results derived from the proposed system. Experimental results using real data of the participating students show that the proposed course guidance system based on course mentoring ontology provides correct course mentoring results to students at all times. Advisors can also reduce their time cost to analyze a degree audit of corresponding student and to calculate each score for the each part. As a result, the proposed system based on ontology techniques solves the difficulty of mentoring methods in manual way and the proposed system derive correct mentoring results as human conduct.

• Journal of the Korean Institute of Landscape Architecture
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• v.39 no.2
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• pp.113-126
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• 2011

This study was carried out to improve planting and use of landscape plants in Gangwon-do. The designated plants by schools and cities in Gangwon-do were surveyed and then compared with the planted trees on streets, public parks, schools, etc. in 2009. There were 45 tree species and 43 flower species designated as school trees and school flowers at 632 schools in Gangwon-do. The majority of school tree species were Juniperus chinensis, Pinus densiflora, Abies holophylla, Ginkgo biloba, Pinus koraiensis, Taxus cuspidata, Zelkova serrata, and Pinus thunbergii. The ratio of native species to exotic was 35:10. The majority of school flower species Rosa centifolia, Forsythia koreana, Zinnia elegans, Rhododendron mucronulatum, Chrysanthemum morifolium, and Rosa rugosa. The ratio of native species to the exotic was 22:21. There were 12 flower species and 7 tree species designated as city trees and city flowers in 18 cities and guns. The high frequency flower species were Rhododendron schlippenbachii, Forsythia koreana, Magnolia sieboldii, and Prunus armeniaca var. ansu. The high frequency tree species were Ginkgo biloba, Pinus koraiensis, and Taxus cuspidata. There were 87 woody landscape tree species planted, and a total of 619,835 landscape plants were planted in Youngseo region (western part of Gangwon-do) in 2009. The ratio of native species to exotic species was 56:31. The majority of landscape trees planted were Pinus densiflora, Prunus yedoensis, Prunus sargentii, Comus officinalis, Pyrus pyrifolia, Rhododendron yedoense var. poukhanense, Pinus koraiensis, Taxus cuspidata, Hibiscus syriacus, Forsythia koreana, Zellkova serrata, Acer triflorum, Rhododendron obutusum, and Ligustrum obtusifolium A in 2009. The ratio of native species to the exotic was 64:36. There were 77 woody landscape tree species planted, and a total of 914,668 landscape plants were planted in Youngdong region (eastern part of Gangwon-do) in 2009. The ratio of native species to exotic was 52:25. The major landscape trees planted were Pinus thunbergii, Rhododendron lateritium, Rhododendron schlippenenbachii, Hibiscus syriacus, Prunus yedoensis, Pinus densiflora, Syringa dilatata, Rhododendron yedoense var. poukhanense, Rosa rugosa, Prunus sargentii, Rosa centifolia, Juniperus chinensis, Euonymus japonica, Forsythia koreana, Chionanthus retusus, Acer palmatum, and Chaenomeles sinensis. The results indicate that landscape plants need to be diverse in species in each region of Gangwon-do. Selection of suitable plants for each region and the use of native species need to be emphasized.