• Journal of Korean Academy of Nursing
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• v.42 no.4
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• pp.496-507
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• 2012

Purpose: This study was based on social-role theory, and purposes were to investigate (1) how depression and health determinants vary with married and employed women, and (2) what factors contribute to depression according to family cycle. Methods: A stratified convenience sample of 765 married and employed women was recruited during May to August 2010. Study variables of depression, socio-demographic threatening factors, psycho-stimulating factors, and social-role related factors were measured via a structured questionnaire. Results: Prevalence rate for depression was 18.6%, with highest rate (25.4%) from elementary laborers. Greater levels of depression were related to women's occupation, higher life stress, and poorer health; lower social support and vulnerable personality; higher levels of social-role related stress. From multivariate analysis, women with preadolescents were the most vulnerable to depression affected by occupation, life stress, personality, and parenting stress. These factors (except for occupational class) combined with economic status, social support, and housework unfairness were significant for depression in women with adolescents. Conclusion: Depression among married and employed women differs by psycho-stimulating and social role relevant factors in addition to occupational class and family life cycle. Female elementary laborers and women with children need to have the highest prioritization for community mental health programs.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.1
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• pp.12-22
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• 2018

In order to improve the vulnerability of current cities due to climate change, the disaster vulnerability analysis manual for various disasters is provided. Depending on the spatial units, the disaster vulnerability levels, and the conditions of the climatic factors, the results of the disaster vulnerability analysis will have a significant impact. In this study, relative assessments are conducted by adding the eup, myeon and dong unit in addition to census output area unit to analyze the impact on the spatial unit, and relative changes are analyzed according to the classification stages by expanding the natural classification, which is standardized at level four stage, to level two, four and six stage. The maximum rainfalls(10min, 60min, 24hr) are added for the two limited rainfall characteristics to determine the relativity of disaster vulnerable districts by index. The relative assessment results of heavy rainfall vulnerability index showed that the area ratio of disaster areas by spatial unit was different and the correlation analysis showed that the space analysis between the eup, myeon and dong unit in addition to census output area unit was not consistent. And it can be seen that the proportion of disaster vulnerable districts is relatively different a lot due to indexes of rainfall characteristics, spatial unit analysis and disaster vulnerability level stage. Based on the above results, it can be seen that the ratios of disaster vulnerable districts differ relatively significantly due to the level of the disaster vulnerability class, and the indexes of rainfall characteristics. This suggests that the impact of the disaster vulnerable districts depending on indexes is relatively large, and more detailed indexes should be selected when setting up the disaster vulnerabilities analysis index.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.11
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• pp.455-464
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• 2022

There are two unique characteristics of the datasets from a manufacturing process. They are the severe class imbalance and lots of Out-of-Distribution samples. Some good strategies such as the oversampling over the minority class, and the down-sampling over the majority class, are well known to handle the class imbalance. In addition, SMOTE has been chosen to address the issue recently. But, Out-of-Distribution samples have been studied just with neural networks. It seems to be hardly shown that Out-of-Distribution detection is applied to the predictive model using conventional machine learning algorithms such as SVM, Random Forest and KNN. It is known that conventional machine learning algorithms are much better than neural networks in prediction performance, because neural networks are vulnerable to over-fitting and requires much bigger dataset than conventional machine learning algorithms does. So, we suggests a new approach to utilize Out-of-Distribution detection based on SVM algorithm. In addition to that, bagging technique will be adopted to improve the precision of the model.

• Korean Journal of Agricultural Science
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• v.49 no.4
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• pp.1015-1031
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• 2022

The objectives of this study were to classify the types of elderly households and to compare the characteristics of their dietary lifestyle. Panel data surveyed by Korea Rural Economic Institute (KREI) for Food Purchase Attitudes over three years (2019 - 2021) were utilized for the analysis. Through a factor analysis, five common factors were extracted out of 19 basic variables related to dietary style, which indicate two kinds of consumer competency index (safe diet, traditional diet) and three kinds of purchase frequency (healthy food, meat & fish, fresh seafood). Applying the cluster analysis method, by using socioeconomic variables along the five common factors, elderly households aged 60 or older were grouped into four types. As a result, Type 1 elderly households accounted for 50.8%, Type 2 for 16.2%, Type 3 for 27.8%, and Type 4 for 5.2% out of all 870 elderly households. Type 1 is characterized as a low-income vulnerable class with a poor diet, Type 2 as a middle-income class with a healthy food-oriented diet, whereas Type 3 was classified as a middle-income class with a meat-oriented diet, and Type 4 as a high-income class with diverse dietary culture. It is necessary to expand the agri-food voucher pilot project to the entire country and also increase the monthly subsidy for the Type 1 elderly households. Implementing community kitchen projects for elderly single-person households, promoting senior internships by providing incentives to companies that employ retirees, the provision of education by local governments on a safe and balanced diet for Types 2 and 3, and the promotion of an elderly-friendly social environment are also recommended.

• Journal of Computing Science and Engineering
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• v.5 no.4
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• pp.305-313
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• 2011

Due to the expansion of high-speed Internet access, the need for secure and reliable networks has become more critical. The sophistication of network attacks, as well as their severity, has also increased recently. As such, more and more organizations are becoming vulnerable to attack. The aim of this research is to classify network attacks using neural networks (NN), which leads to a higher detection rate and a lower false alarm rate in a shorter time. This paper focuses on two classification types: a single class (normal, or attack), and a multi class (normal, DoS, PRB, R2L, U2R), where the category of attack is also detected by the NN. Extensive analysis is conducted in order to assess the translation of symbolic data, partitioning of the training data and the complexity of the architecture. This paper investigates two engines; the first engine is the back-propagation neural network intrusion detection system (BPNNIDS) and the second engine is the radial basis function neural network intrusion detection system (BPNNIDS). The two engines proposed in this paper are tested against traditional and other machine learning algorithms using a common dataset: the DARPA 98 KDD99 benchmark dataset from International Knowledge Discovery and Data Mining Tools. BPNNIDS shows a superior response compared to the other techniques reported in literature especially in terms of response time, detection rate and false positive rate.

• Journal of Korean Society of Rural Planning
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• v.23 no.1
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• pp.97-112
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• 2017

Stability of labor market in rural areas was analyzed in this paper with categories of industrial group, employment scale, surviving period, and founder group. The stability of each classified labor market was compared with each other to figure out the stable business class and the unstable class in rural areas. The results of rural areas were compared with those of urban areas. The stability was analyzed with average and coefficient of variation (C.V.) of annual total employees' change rates. It was revealed that labor market of 'primary industry', including agriculture, is unstable. Especially, labor market of 'mid-size' and 'primary industry' businesses founded as 'incorporated company' in rural areas is vulnerable. While labor market of 'large-size' is proved to be unstable, it is confirmed that 'small-size' or 'mid-size', and 'over-ten-year survived' businesses have positive contribution to the stable labor market in rural and urban areas. The results show that the stability of labor market is different in each category of business and in each region of rural or urban area. It is expected that the results can be utilized for the regional development policies, of labor and industry part.

• Korean Journal of Social Welfare
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• v.62 no.1
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• pp.291-316
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• 2010

This study aimed to look for the possibility of dissolving social exclusion about the social vulnerable classes through the culture welfare programs. For this purpose, we analyzed interview records focused on the culture welfare practitioners applying the Modified Grounded Theory Approach worked out by Kinosita. The results showed that the culture welfare programs functionated of dissolving social exclusion about the social weaks by enhancing latent faculties and the sense of self-respect of them through providing various opportunities of culture fruition. It was appeared that the culture welfare programs promoted creative competence and the sense of self-respect, and strengthened the sense of solidarity of the participants by using the approaching strategies of offering various opportunities of creational experience, atypical operating programs centered on the process, establishing of the participants' subjecthood, and communal activities. That is, it was proved that actually the social weaks experienced the change of life with feeling emotional satisfaction, promoting family and human relationship, establishing positive identity, empowerment, participating communal activities, and so on, through the culture welfare programs. From these results we can know that if we provide the programs mixing the culture welfare programs with social welfare services which traditionally reinforced social exclusion about the social vulnerable classes by stigma, the social exclusion about them can be dissolved.

• 한국노년학
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• v.37 no.2
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• pp.349-368
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• 2017

The purpose of this study is to empirically structure the patterns of baby boomer retirees'consumption and their effects on depression in later life. Using the 5th wave of Korea Retirement and Income Study(KReIS) in 2013, of baby boomers born in 1955 to 1963, we analyzed those who were completely retired(n=420). The Latent Profile Analysis(LPA) classified the empirical patterns of consumption and then a multiple regression analyzed the effect of consumption patterns on depression among these baby boomer retirees. The LPA results showed that the consumption patterns consist of five groups: (1) Basic life-oriented class(26.9%), (2) Balanced consumption class(29.3%), (3) Social life-oriented class(18.3%), (4) Leisure-oriented class(18.5%), and (5) Education-oriented class(7.0%). Baby boomer retirees' depression was associated with their consumption patterns. Specifically, the basic life-oriented class showed significantly lower depression than the education-oriented class. Other correlates such as higher education, having no spouse, lower subjective health, greater limitations in physical functions, having a diagnosed disability, having fewer children, higher dissatisfaction with leisure activities, and lower self-perceived economic status were associated with higher levels of depression in this study. These findings suggest meaningful implications for gerontological policy and practice for baby boomer retirees in Korea. In light of vulnerable retirement preparation, social services specialized for baby boomers should consider financial education for revamping consumption scale beyond asset management and long-term case management of pre and post retirement cases.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.285-294
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• 2021

This study analyzes the factors that determine the attitude toward the electronic wristband(smartband) to check the position of self-quarantine subjects due to COVID-19. Furthermore, I analyze the interaction of class and age among the factors that determine attitudes toward the electronic wristband. In this study, the attitude toward self-quarantine electronic wristband is analyzed as a binary logit model, focusing on class and age. As a result of the analysis, the middle class significantly agreed with the self-quarantine electronic wristband compared to the lower class, and the older the person, the more in favor. On the other hand, the interaction between the class and the age shows that the age weakens the positive effect on the attitude of the self-quarantine electronic wristband in the middle and upper middle classes. The implication of this study is that it is necessary to push for mandatory electronic wristband in areas with high proportion of high-aged people with positive attitude toward self-quarantine electronic wristband and in the same age group, the approval rate is low, so it is necessary to promote mandatory electronic wristband in areas where the vulnerable class is dense.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.6
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• pp.2946-2959
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• 2018

Choi et al's work [1] in 2015 demonstrated that the resident registration numbers (RRNs) of individuals could be conveniently estimated through their personal information that is ordinarily disclosed in social network services. As a follow-up to the study, we introduce the status of the RRN system in Korea in terms of its use in the online environment, particularly focusing on their secure use. We demonstrate that it is still vulnerable against a straightforward attack. We establish that we can determine the RRNs of the current president Moon Jae-In and the world-class singer PSY.