• Journal of Korean Home Economics Education Association
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• v.20 no.4
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• pp.173-186
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• 2008

This study aimed to examine the operation of the Home Economics education courses in the graduate schools of education, and to find out how graduate students perceive them. Data were collected with the use of handbooks issued by 11 graduate schools of education located in Seoul, and through telephone conversations with the administrative staff. To determine how graduate students majoring in Home Economics perceive their Home Economics courses, a survey was conducted among the graduate students in 10 graduate schools of education, and a total of 131 accomplished questionnaires were used for data analysis. The results of the study are as follows. First, all 11 graduate schools aimed to retrain their teachers, enhance their professionalism, and produce home economics education experts. The Home Economics Education courses come in two strands; a teacher's course and a major course. Most of the schools require a total of 30 credits. All Schools lack professors. Only 3 graduate schools have a home Economics Department in the College of Education. All graduate schools are offering a teacher's course based on a teacher's certification system. In a major course, Home Economics education has the largest number of subjects, with Clothing and Textiles and Food and Nutrition being given greater emphasis, and Consumer Economics, Home Economics Management, Child Care, and Family and Housing Studies being given less emphasis. Second, they mostly regard the graduate school of education as producer of experts, followed by producers of teachers and teacher re-trainers. Those who were majoring in Home Economics Education in college, and the teachers, are more interested in teacher re-training, while the non-teachers and those who were not majoring in Home Economics Education are more interested in producing teachers. They are less satisfied with the operation of the graduate school of education. But they are generally satisfied with the Home Economics Education course. Graduate students registered the lowest satisfaction with a major course, especially experimental subjects. For a teacher's course, the graduate students who are not teachers exhibited higher satisfaction, whereas the teachers showed lower satisfaction. But teachers registered more satisfaction with the practical use of major subjects in the educational field, thinking that their major was a big help in their work at a school. As for what has to be improved with regard to the Home Economics Education course, many cited the necessity of securing a good faculty and expanding the major subjects.

• Research in Community and Public Health Nursing
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• v.12 no.3
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• pp.680-695
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• 2001

The purpose of this study was to provide basic data for developing nursing intervention for middle-aged women. This study identified health status, family functionality and spousal relationship and analyzed relationship between individual characteristics and family functionality/ spousal relationship. The subjects, of this study were 1.723 women from 45 to 55 years of age, who lived in J city. Data were analyzed using percentages, means, t-tests, ANOVA and Pearson's correlation coefficients with the SPSS statistical program. The results of the study were as follow: 1. The rate of women who perceived themselves to be healthy was 36.6%, those who did not was 30.8%. The most frequent health problem was a disease of the skeletal system (13.2%). 2. The mean score of family functionality was $3.25{\pm}.60$, with cohesion score of $3.58{\pm}.66$ and adaptability score of $2.99{\pm}.63$. 3. The mean score of total spousal relationship was $3.22{\pm}.42$; the relationship with in-laws was 3.78; sexual relationship, 3.74; life style, 3.44; and recreational activity. 3.39. 4. The women who experienced menopause perceived themselves to be unhealthier than those who did not. 5. Healthy women had a high score at total spousal relationship. personality of spouse. life style, recreational activity, and children's influence. 6. The women from 40 to 50 years of age. and women who graduated from middle or high school and had medium economic status showed a high score in family functionality. There was no correlation between family functionality and experience of the menopause. 7. Lower aged women were not good in personality of spouse (p<.05), sexual relationship (p<.05), and relationship with relatives (p<.05), Inexperienced women's menopause was influenced by their children (p<.05), Women who graduated from middle or high school (p<.001) and had medium economic status (p<.05) showed a high score in spousal relationship. 8. The higher the family functionality score. the higher spousal relationship. score (p<.001): love and communication (p<.001), personality of husband (p<.05), and religion (p<.001). relationship with relatives (p<.05), but the lower the score of recreational activity (p<.05), and share of role (p<.001) in the spousal relationship. 9. In the family functionality, the higher the cohesion score. the higher was the adaptability score (p<.001). l) The higher the cohesion score, the higher were love and communication, personality of husband. life style. sexual relationship. and children's influence, but the lower were share of role in spousal relationship(p<.001). 2) The higher the adaptability score, the higher were love and communication, religion, but the lower were the personality of husband, life style. sexual relationship, recreational activity, relationship with relatives, share of role(p<.001), and children's influence in spousal relationship (p<.05). 10. Variables within the spousal relationship have relationships with other variables. 1) The higher the love and communication score. the higher personality of husband religion, life style, communication. relationship with relatives, and children s influence (p<.001). 2) The higher personality of husband life style sexual relationship. recreational activity, relationship with relatives, share of role, and children's influence (p<.001). 3) The higher the religion score, the lower the recreational activity score (p<.05). 4) The higher the life style, the higher were the sexual relationship, recreational activity. relationship with relatives. share of role, and children's influence (p<.001). 5) The higher the sexual relationship score. the higher were recreational activity. relationship with relatives, share of role. and children's influence (p<.001). 6) The higher the recreational activity, the relationship with relatives, share of role. and children's influence (p<.001). 7) The higher the relationship with relatives, the higher were the share of role. the higher children's influence (p<.001). In conclusion. the spousal relationship was not good in unhealthy women, and the family functionality was related with the age of women and educational level. Also the spousal relationship was related with the age of women, personality of husband, sexual relationship. relationship with relatives by marriage and influence of sons and daughters. Menopause was related with spousal relationship, not related with family functionality. And the family functionality not related with perceived health status. but was correlated with spousal relationship. Therefore, the health management program for middle-aged woman should take place before menopause and must be based on promoting the family functionality and spousal relationship as well as physical health.

• Journal of Korean Society of Forest Science
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• v.98 no.1
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• pp.94-105
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• 2009

Black locust (Robinia pseudoacacia) stand is representative lowland exotic plantation with low ecological quality and arrested succession in South Korea. To facilitate succession and restore natural vegetation, small canopy gaps (${\sim}57m^2$), which can modify minimally structural variables and reduce restoration related disturbances on stand, was established in the black locust stand, and oak (Quercus serrata) seedlings were introduced in the gap. Two types of varying levels were introduced for gap creation; cutting (C) and girdling (G) on canopies. Understory removal (CU and GU) treatment was applied as subtypes of structural modification. Growth (diameter, height and leaf area) of target species and responses (species composition, diversity and coverage) of understory community were monitored during study years (2007~2008). Canopy openness was different significantly among treatments but not for light availability. Based on the result of logistic regression, growth of height and leaf area of seedlings were significant variables on seedling survival. Height and leaf area of seedlings were increased during study years, although radial growth was reduced. During study years, there were no significant differences in species composition and diversity, and total coverage increased about 20%. Increase of resources by gap creation and understory removal likely affect growth of target species. Small gap creation was effective to reduce understory responses in composition and diverstiy. Synthesized, growth of target species and responses of understory community to small canopy gap creation exhibited, in short term, possibility of utilization in alternative forest restoration and management option. Long-term monitoring is necessary to certificate effect of artificial gap creation on forest restoration.

• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.73-91
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• 2013

Advertising market has been facing new challenges due to dramatic change in advertising channels and the advent of innovative media such as mobile devices. Recent research related to mobile devices is mainly focused on the fact that mobile devices could identify users'physical location in real-time, and this sheds light on how location-based technology is utilized to achieve competitive advantage in advertising market. With the introduction of smartphone, the functionality of smartphone has become much more diverse and context awareness is one of the areas that require further study. This work analyses the influence of context awareness value resulted from the transformation of advertising channel in mobile communication market, and our research result reflects recent trend in advertising market environment which is not considered in previous studies. Many constructs has intensively been studied in the context of advertising channel in traditional marketing environment, and entertainment, irritation and information are considered to be the most widely accepted variables that has positive relationship with advertising value. Also, in smartphone advertisement, four main dimensions of context awareness value are recognized: identification, activity, timing and location. In this study, we assume that these four constructs has positive relationship with context awareness value. Finally, we propose that advertising value and context awareness value positively influence smartphone advertising attitude. Partial Least Squares (PLS) structural model is used in our theoretical research model to test proposed hypotheses. A well designed survey is conducted for college students in Korea, and reliability, convergent validity and discriminant validity of constructs and measurement indicators are carefully evaluated and the results show that reliability and validity are confirmed according to predefined statistical criteria. Goodness-of-fit of our research model is also supported. In summary, the results collectively suggest good measurement properties for the proposed research model. The research outcomes are as follows. First, information has positive impact on advertising value while entertainment and irritation have no significant impact. Information, entertainment and irritation together account for 38.8% of advertising value. Second, along with the change in advertising market due to the advent of smartphone, activity, timing and location have positive impact on context awareness value while identification has no significant impact. In addition, identification, activity, location and time together account for 46.3% of context awareness value. Third, advertising value and context awareness value both positively influence smartphone advertising attitude, and these two constructs explain 31.7% of the variability of smartphone advertising attitude. The theoretical implication of our research is as follows. First, the influence of entertainment and irritation is reduced which are known to be crucial factors according to previous studies related to advertising value, while the influence of information is increased. It indicates that smartphone users are not likely interested in entertaining effect of smartphone advertisement, and are insensitive to the inconvenience due to smartphone advertisement. Second, in today' ubiquitous computing environment, it is effective to provide differentiated advertising service by utilizing smartphone users'context awareness values such as identification, activity, timing and location in order to achieve competitive business advantage in advertising market. For practical implications, enterprises should provide valuable and useful information that might attract smartphone users by adopting differentiation strategy as smartphone users are sensitive to the information provided via smartphone. Also enterprises not only provide useful information but also recognize and utilize smarphone users' unique characteristics and behaviors by increasing context awareness values. In summary, our result implies that smartphone advertisement should be optimized by considering the needed information of smartphone users in order to maximize advertisement effect.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.139-153
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• 2017

Corporate bankruptcy can cause great losses not only to stakeholders but also to many related sectors in society. Through the economic crises, bankruptcy have increased and bankruptcy prediction models have become more and more important. Therefore, corporate bankruptcy has been regarded as one of the major topics of research in business management. Also, many studies in the industry are in progress and important. Previous studies attempted to utilize various methodologies to improve the bankruptcy prediction accuracy and to resolve the overfitting problem, such as Multivariate Discriminant Analysis (MDA), Generalized Linear Model (GLM). These methods are based on statistics. Recently, researchers have used machine learning methodologies such as Support Vector Machine (SVM), Artificial Neural Network (ANN). Furthermore, fuzzy theory and genetic algorithms were used. Because of this change, many of bankruptcy models are developed. Also, performance has been improved. In general, the company's financial and accounting information will change over time. Likewise, the market situation also changes, so there are many difficulties in predicting bankruptcy only with information at a certain point in time. However, even though traditional research has problems that don't take into account the time effect, dynamic model has not been studied much. When we ignore the time effect, we get the biased results. So the static model may not be suitable for predicting bankruptcy. Thus, using the dynamic model, there is a possibility that bankruptcy prediction model is improved. In this paper, we propose RNN (Recurrent Neural Network) which is one of the deep learning methodologies. The RNN learns time series data and the performance is known to be good. Prior to experiment, we selected non-financial firms listed on the KOSPI, KOSDAQ and KONEX markets from 2010 to 2016 for the estimation of the bankruptcy prediction model and the comparison of forecasting performance. In order to prevent a mistake of predicting bankruptcy by using the financial information already reflected in the deterioration of the financial condition of the company, the financial information was collected with a lag of two years, and the default period was defined from January to December of the year. Then we defined the bankruptcy. The bankruptcy we defined is the abolition of the listing due to sluggish earnings. We confirmed abolition of the list at KIND that is corporate stock information website. Then we selected variables at previous papers. The first set of variables are Z-score variables. These variables have become traditional variables in predicting bankruptcy. The second set of variables are dynamic variable set. Finally we selected 240 normal companies and 226 bankrupt companies at the first variable set. Likewise, we selected 229 normal companies and 226 bankrupt companies at the second variable set. We created a model that reflects dynamic changes in time-series financial data and by comparing the suggested model with the analysis of existing bankruptcy predictive models, we found that the suggested model could help to improve the accuracy of bankruptcy predictions. We used financial data in KIS Value (Financial database) and selected Multivariate Discriminant Analysis (MDA), Generalized Linear Model called logistic regression (GLM), Support Vector Machine (SVM), Artificial Neural Network (ANN) model as benchmark. The result of the experiment proved that RNN's performance was better than comparative model. The accuracy of RNN was high in both sets of variables and the Area Under the Curve (AUC) value was also high. Also when we saw the hit-ratio table, the ratio of RNNs that predicted a poor company to be bankrupt was higher than that of other comparative models. However the limitation of this paper is that an overfitting problem occurs during RNN learning. But we expect to be able to solve the overfitting problem by selecting more learning data and appropriate variables. From these result, it is expected that this research will contribute to the development of a bankruptcy prediction by proposing a new dynamic model.

• Journal of the Korean Institute of Landscape Architecture
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• v.40 no.2
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• pp.1-14
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• 2012

The purpose of this study is to derive a desirable riverfront construction plan to me for the activities of citizens through the evaluation and analysis of the urban riverfront space from the perspective of universal design. Therefore, previous studies were examined in order to induce evaluation tools that bhve been grafted from the universal design concept; in addition, a field survey was conducted in Shincheon, Daegu, which was selected as the study target, in order to induce problems and improvement directions from the perspective of universal design. The major results can be summarized as follows. (1) In the 'fairness' aspect, all the items such as installation of integrated functional signage, showing pictures, symbols, foreign language signs, and restroom entrances signage were determined to be 'All Unsuitable' for all sections; and therefore, it is necessary to improve the fairness of usage for everybody. (2) In the 'Functionality(Usability)' aspect, all items such as installation of bicycle paths beside access roads, installation of integrated functional signs, and night light signs were determined to be 'All Unsuitable' for all sections; therefore, it is necessary to improve the functionalities of these facilities. (3) In the 'Convenience' aspect, all items such as the installation of bicycle parking areas, continuous rest facilities, and back and ann support(handles) at resting facilities were determined to be 'All Unsuitable' for many sections; therefore, it is necessary to improve these facilities for the convenience of usage. (4) In the 'Information(Recognizability)' aspect, all items such as showing pictures, symbols, foreign languages and installation of night light signs, and restroom entrances signage were determined to be 'All Unsuitable' for all sections; therefore, it is necessary to improve the recognizability to minimize misunderstandings and confusion. (5) In the 'Safety' aspect, all items such as the installation of safe pedestrian paths in parking areas, using anti-slip and shock absorption materials on restroom floors, and the continuous installation of pedestrian paths that are separate from bicycle paths were determined to be 'All Unsuitable' for all sections; therefore, it is necessary to improve the safety to prevent accidents. (6) In the 'Amenity' aspect, access roads, parking areas, hygiene facilities, convenience facilities, and waterside facilities for many sections were determined to be 'All Unsuitable'; therefore, it is necessary to conduct more concentrated hygiene management. (7) In the 'Accessibility(Mobility)' aspect, all items such as the installation of safe pedestrian paths in parking areas, and continuous pedestrian paths that are separate from bicycle paths were determined to be 'All Unsuitable' for all sections; therefore, it is necessary to improve the accessibility to provide safety and convenience. (8) In the 'Durability' aspect, access roads, parking areas, rest facilities, convenience facilities, fitness facilities, and waterside facilities were determined to be 'All Unsuitable' for many sections, therefore, it is necessary to improve sunken or damaged areas by inspecting facilities by section.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.17 no.1
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• pp.123-134
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• 2014

Identification of methods to optimize the growth of a plant community, including the capacity of the soil to further sequester carbon, is important in urban design and planning. In this study, to construct and manage an urban park to mitigate carbon emissions, soil organic carbon of varying biomass, different park construction times, and a range of vegetation types were analyzed by measuring aboveground and belowground carbon in Seoseoul Lake Park and Yangjae Citizen's Forest. The urban parks were constructed during different periods; Seoseoul Lake Park was constructed in 2009, whereas Yangjae Citizen's Forest was constructed in 1986. To identify the differences in soil organic carbon in various plant communities and soil types, above and belowground carbon were measured based on biomass, as well as the physical and chemical features of the soil. Allometric equations were used to measure biomass. Soil total organic carbon (TOC) and chemical properties such as pH, cation exchange capacity (CEC), total nitrogen (TN), and soil microbes were analyzed. The analysis results show that the biomass of the Yangjae Citizen's Forest was higher than that of the Seoseoul Lake Park, indicating that older park has higher biomass. On the other hand, TOC was lower in the Yangjae Citizen's Forest than in the Seoseoul Lake Park; air pollution and acid rain probably changed the acidity of the soil in the Yangjae Citizen's Forest. Furthermore, TOC was higher in mono-layered plantation area compared to that in multi-layered plantation area. Improving the soil texture would, in the long term, result in better vegetation growth. To improve the soil texture of an urban park, park management, including pH control by using lime fertilization, soil compaction control, and leaving litter for soil nutrition is necessary.

• Journal of Korean Society of Environmental Engineers
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• v.32 no.10
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• pp.942-948
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• 2010

To predict the potential reduction of $CH_4$ by recovering several types of wastes as of reusable energy sources like RDF, the $CH_4$ emission for each type of waste from Landfill Site 3 of SUDOKWON Landfill was estimated for the period of 2017 to 2024. Without any recovering effort on types of wastes being disposed of at the Landfill, there are producing a total of $526{\times}10^6\;Nm^3$ of $CH_4$; municipal waste of $337{\times}10^6\;Nm^3$, construction waste of $178{\times}10^6\;Nm^3$, and facility waste of $11{\times}10^6\;Nm^3$. It composed of 41.5% to that observed from 2002 to 2009. With properly retrieved by MT(Mechanical Treatment), it released a total of $158{\times}10^6\;Nm^3$ $CH_4$; $127{\times}10^6\;Nm^3$, $28{\times}10^6\;Nm^3$, and $4{\times}10^6\;Nm^3$, respectively. Additionally, when biologically degradable residues can be fully treated by MBT (Mechanical & Biological Treatment) system, the total amount of $CH_4$ emitted from the site will be lowered down as low as $115{\times}10^6\;Nm^3$, which is comparably lower showing only 21.8% to that for without any energy recovery practice. Futhermore, it is far less showing 9.1% to that obtained from 2002 to 2009. It can be decided that predictable amount of $CH_4$ emission reduced could be successfully accomplished and enhanced through ways of energy recovery efforts such as further scale adjustment of LFG treatment capacity in association with currently implemented practices in the landfill site.

• The Korean Journal of Pesticide Science
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• v.7 no.3
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• pp.228-237
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• 2003

Temporary control schedules were tested at sweet persimmon orchards to development new control programs to meet the quarantine repuirements of America in 2001 and 2002. The 'MRL-type control orchards' were sprayed with chemicals which were possibly adaptable to the pome trees in America. A control schedule consisted of those chemicals registered for persimmon in Korea was incorporated in the 'domestic-type control orchards'. The efficacy of these two control type against insect pests was compared with that of a conventional control schedule. In 2001, MRL orchard and domestic orchard were sprayed 7 and 6 times, and two conventional orchards were 6 and 9 times, respectively. In 2002, acaricide was added once to the MRL orchards at late September to reduce the density of mites on harvested fruits. However no insecticide to plant bug control could be applied to the MRL orchards, because no insecticide against bugs was registered for pome trees in America. This resulted in 7 times of applications in MRL and domestic orchards. The conventional orchard was sprayed 9 times. Only the occurrence of the peach pyralid moth, Dichocrocis puntiferalis (PPM) out of 4 quarantine inset species was observed. The PPM was observed during growing season in MRL, domestic, and conventional orchards. However no fruits damaged by PPM larvae were observed after mid October and after harvest. In 2002 only 1 fruit out of 1,350 fruits inspected in June was damaged by the larvae of PPM at MRL orchards. A fungus-feeding mites and collembolan were under calyx of vested fruits. In 2001 they were found on 45.3% of harvested fruits at MRL orchard. However the percentage of fruits with mites in 2002 was greatly reduced to 3.5% at MRL orchard, presumably because of a added application of acaricide at late September. However percentage of fruits damage by hemipteran bugs at harvesting time was quite high 11.3 % at MRL orchards, because no application of insecticide against plant bugs.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.29-45
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• 2015

Response modeling is a well-known research issue for those who have tried to get more superior performance in the capability of predicting the customers' response for the marketing promotion. The response model for customers would reduce the marketing cost by identifying prospective customers from very large customer database and predicting the purchasing intention of the selected customers while the promotion which is derived from an undifferentiated marketing strategy results in unnecessary cost. In addition, the big data environment has accelerated developing the response model with data mining techniques such as CBR, neural networks and support vector machines. And CBR is one of the most major tools in business because it is known as simple and robust to apply to the response model. However, CBR is an attractive data mining technique for data mining applications in business even though it hasn't shown high performance compared to other machine learning techniques. Thus many studies have tried to improve CBR and utilized in business data mining with the enhanced algorithms or the support of other techniques such as genetic algorithm, decision tree and AHP (Analytic Process Hierarchy). Ahn and Kim(2008) utilized logit, neural networks, CBR to predict that which customers would purchase the items promoted by marketing department and tried to optimized the number of k for k-nearest neighbor with genetic algorithm for the purpose of improving the performance of the integrated model. Hong and Park(2009) noted that the integrated approach with CBR for logit, neural networks, and Support Vector Machine (SVM) showed more improved prediction ability for response of customers to marketing promotion than each data mining models such as logit, neural networks, and SVM. This paper presented an approach to predict customers' response of marketing promotion with Case Based Reasoning. The proposed model was developed by applying different weights to each feature. We deployed logit model with a database including the promotion and the purchasing data of bath soap. After that, the coefficients were used to give different weights of CBR. We analyzed the performance of proposed weighted CBR based model compared to neural networks and pure CBR based model empirically and found that the proposed weighted CBR based model showed more superior performance than pure CBR model. Imbalanced data is a common problem to build data mining model to classify a class with real data such as bankruptcy prediction, intrusion detection, fraud detection, churn management, and response modeling. Imbalanced data means that the number of instance in one class is remarkably small or large compared to the number of instance in other classes. The classification model such as response modeling has a lot of trouble to recognize the pattern from data through learning because the model tends to ignore a small number of classes while classifying a large number of classes correctly. To resolve the problem caused from imbalanced data distribution, sampling method is one of the most representative approach. The sampling method could be categorized to under sampling and over sampling. However, CBR is not sensitive to data distribution because it doesn't learn from data unlike machine learning algorithm. In this study, we investigated the robustness of our proposed model while changing the ratio of response customers and nonresponse customers to the promotion program because the response customers for the suggested promotion is always a small part of nonresponse customers in the real world. We simulated the proposed model 100 times to validate the robustness with different ratio of response customers to response customers under the imbalanced data distribution. Finally, we found that our proposed CBR based model showed superior performance than compared models under the imbalanced data sets. Our study is expected to improve the performance of response model for the promotion program with CBR under imbalanced data distribution in the real world.