• 한국사회정책
• /
• v.25 no.1
• /
• pp.161-194
• /
• 2018

The purpose of this study is to investigate the factors that interrupt the use of social security of elderly North Korean refugees. As a result of qualitative content analysis using interview data, it is found that the elderly North Korean defectors have a lower access to the social security system. The main reason for hindering the use of social security system is low awareness due to limited information channels, psychological distance to South Korean society and residents. Moreover, this psychological distance is a factor that reduces the geographical accessibility of elderly North Korean defectors by preferring to use services in specific institutions for North Korean, while South Korean elderly people can use the service elsewhere. In addition, there are many cases in which the elderly in North Korean defectors do not receive sufficient social security due to low income. On the other hand, social security systems with high accessibility of older North Korean refugees are characterized by the fact that they are provided by experts who have formed sufficient rapport with North Korean refugees. Therefore, it seems possible to improve the accessibility of elderly defectors' friendly system by professional workers with cultural competence. In addition, a multidimensional approach is needed to fully cope with the complex desires of elderly North Korean defectors and a mechanism should be set up to reflect their opinion in system operation.

• Korean Public Health Research
• /
• v.44 no.4
• /
• pp.99-109
• /
• 2018

Objective : Health literacy (HL) is, defined as "the degree to which individuals have the capacity to obtain, process, and understand basic health information and services needed to make appropriate health decisions." Being old is one of the main risk factors with limited health literacy. This study aims to adapt Chew's health literacy scale into the Korean language and validate the scale for the use of the elderly. Methods : Data were drawn from the '2016 Seoul Survey on Elderly Health and Functional Assessment, which includes a total of 725 people aged 60 to 79. The sample was randomly divided into two groups for reliability and validity tests of the modified Chew's scale of 8 items. The Korean version of the questionnaire was developed by group translation, expert reviews, and forward-backward translation. Exploratory and confirmatory factor analyses were conducted to assess and validate the factor structure of the scale. Results : Results suggest the two-factor structure ("Understanding" and "Applying" of HL) with 8 items. Exploratory factor analyses of the first sample (n=400) revealed that the internal reliability of the scale was high (Cronbach's ${\alpha}=.904$). Principal axis factoring extracted two factors ("Understanding" and "Applying" of HL) and explained 78.3% of total variance (KMO=.872, Bartlett's ${\chi}^2=2431.3$, df=28, p<.001). Confirmatory factor analysis of the second sample (n=325) was performed and the two-factor model was supported (GFI=.960, CFI=.979, TLI=.969, RMSEA=0.075). Conclusions : This study provides evidence for adequate criterion and validity of the health literacy scale for the community dwelling elderly in Korea.

• Korean Journal of Breeding Science
• /
• v.43 no.2
• /
• pp.115-119
• /
• 2011

Soybean proteins are widely used for human and animal feeds worldwide. The use of soybean protein has been expanded in the food industry due to their excellent nutritional benefits. But, antinutritional and allergenic factors are present in the raw mature soybean. P34 protein, referred as Gly m Bd 30K, has been identified as a predominant immunodominant allergen. The objective of this research is to identify the genetic mode of P34 protein for the improvement of soybean cultivar with a very low level of P34 protein. Two $F_2$ populations were developed from the cross of "Pungsannamulkong" ${\times}$ PI567476 and "Gaechuck2ho" ${\times}$ PI567476 (very low level of P34 protein). Relative amount of P34 protein was observed by Western blot analysis. The observed data for the progeny of "Pungsannamulkong" and PI567476 were 133 seeds with normal content of P34 protein and 35 seeds with very low level of P34 protein (${\chi}^2=1.157$, P=0.20-0.30). For the progeny of "Gaechuck#1" and PI567476, the observed data were 177 seeds with normal content of P34 protein and 73 seeds with very low level of P34 protein (${\chi}^2=2.353$, P=0.10-0.20). From pooled data, observed data were 310 seeds with normal content of P34 protein and 108 seeds with very low level of P34 protein (${\chi}^2=0.156$, P=0.50-0.70). The segregation ratio (3:1) and the Chi-square value obtained from the two populations suggested that P34 protein in mature soybean seed is controlled by a single major gene. Single gene inheritance of P34 protein was confirmed in 32 $F_2$ derived lines in $F_3$ seeds, which were germinated from the low level of P34 protein obtained from the cross of "Pungsannamulkong" and PI567476. These results may provide valuable information to breed for new soybean line with low level of P34 protein and identification of molecular markers linked to P34 locus.

• Journal of the Korea Convergence Society
• /
• v.10 no.3
• /
• pp.319-334
• /
• 2019

This study was conducted to identify the caregiver's educational needs for health care of children with intellectual disability in Mongolia. Data were collected from 150 family caregivers of children with disability in Mongolia between September 30 and October 31, 2017. The questionnaire included a scale for health care education needs in the form of 10 categories, 35 items, 5-point Likert's type. The mean score of educational needs of the primary caregiver were $4.05{\pm}0.65$. The category of information and knowledge acquisition showed the highest score ($4.48{\pm}0.57$). There were statistically significant differences in educational needs of the caregiver according to monthly income (F=7.07, p<.001), presence of a secondary caregiver (t=-2.70, p=.008), other disabled children status (t=2.02, p=.046), occupation status of disabled child's mother (F=3.87, p=.023), and multiple handicaps of caring child (t=-2.60, p=.010). The findings on caregiver's educational needs in this study can help inform planning of caregiving support services for children with intellectual disability in Mongolia.

• Journal of Digital Convergence
• /
• v.17 no.3
• /
• pp.235-251
• /
• 2019

The purpose of this study was to investigate the single-person household's demand for a wearable healthcare system that provides the ischemic heart disease and cardiopulmonary alarm to be developed. In this study, in-depth interviews were conducted with six unmarried individuals in their thirties who were in the workplace and the results were interpreted by Giorgi's phenomenological analysis method. The study results indicated that although the wearable healthcare system was implemented with high-technology functions that serve the intended purpose, it is necessary to comprehensively consider factors such as aesthetics, comfort, and ease of washing. In this study, we found that the variables influencing the interviewees' intent to accept healthcare services are complex and cannot be attributed to one factor alone; this study has also shown a variety of interpersonal correlations. In addition, although health-care research focusing on the elderly has been conducted in the past, it is suggested that younger generations such as those in their thirties can also be studied as health care service adopters.

• Journal of Convergence for Information Technology
• /
• v.8 no.6
• /
• pp.265-271
• /
• 2018

Recently, rights advocacy in disabled welfare centers is one of the most important estimation and also transition of paradigm. However it is difficult to define rights advocacy specifically, so each disabled welfare center goes to conceptualize rights advocacy based on practical experiences. Study of practical recognition of the advocacy rights of social workers in disabled welfare centers provides greater foundation to establishing specific concept and direction of rights advocacy. Method of this research is analysis of metaphors, figuring out concepts and perception of social workers through survey. Analysis of metaphors is a method of analyzing a person's perception in specific context and situation by providing a concrete explanation of new thing, that is, basis of metaphor and analyzing it later. As a result of this research, it is shown that ideological type(necessary thing) and practical type(being together) are the perceptions about rights advocacy of social workers, and rights advocacy is recognized as 'practical concept' which plan and provide direct service at fields. According to these results, policy and environment should be constructed to provide advocacy services at welfare fields, reflecting these perceptions of social workers. Also this should be reflected on practical fields for them to learn appropriately and practice rights advocacy.

• Journal of the Korea Organic Resources Recycling Association
• /
• v.27 no.3
• /
• pp.41-48
• /
• 2019

Mixed expeller cake has been one of soil management to improve crop productivity and soil fertility. But, there was a little information on optimum mixed expeller cake application for chinese cabbage. So, in this study, we were evaluated the preplant optimum application rate of mixed expeller cake(MEC) in chinese cabbage cultivation at field. Treatments consist of control, inorganic fertilizer($N-P_2O_5-K_2O$ : $320-78-198kg\;ha^{-1}$), MEC(50, 100, 150% on preplant application standard $110kg\;ha^{-1}$ as N, topdressing : $210kg\;ha^{-1}$ as N). In results, growth characteristics was not significantly different. But, yield was increased when application rate was increased. And MEC 150% treatment showed similar yield as inorganic treatment. There was no significant difference in soil pH, OM, $Av.P_2O_5$, $NH_4-N$ and Ex.K. But, soil EC and $NO_3-N$ were increased when MEC level increased. As a results, MEC 150% can be proposed as preplant optimum application rate of MEC from this study. But abuse of MEC and long-term using caused about salt accumulation in soil.

• KIPS Transactions on Computer and Communication Systems
• /
• v.8 no.6
• /
• pp.127-138
• /
• 2019

The data response speed is a critical issue of cloud services because it directly related to the user experience. As such, the in-memory database is widely adopted in many cloud-based applications for achieving fast data response. However, the current implementation of the in-memory database is mostly based on the linked list-based hash table which cannot guarantee the constant data response time. Thus, cuckoo hashing was introduced as an alternative solution, however, there is a disadvantage that only half of the allocated memory can be used for storing data. Subsequently, bucketized cuckoo hashing (BCH) improved the performance of cuckoo hashing in terms of memory efficiency but still cannot overcome the limitation that the insert overhead. In this paper, we propose a data management solution called Wall Cuckoo which aims to improve not only the insert performance but also lookup performance of BCH. The key idea of Wall Cuckoo is that separates the data among a bucket according to the different hash function be used. By doing so, the searching range among the bucket is narrowed down, thereby the amount of slot accesses required for the data lookup can be reduced. At the same time, the insert performance will be improved because the insert is following up the operation of the lookup. According to analysis, the expected value of slot access required for our Wall Cuckoo is less than that of BCH. We conducted experiments to show that Wall Cuckoo outperforms the BCH and Sorting Cuckoo in terms of the amount of slot access in lookup and insert operations and in different load factor (i.e., 10%-95%).

• Journal of Internet Computing and Services
• /
• v.20 no.4
• /
• pp.81-90
• /
• 2019

Since 2015, the government has been striving to strengthen the software capabilities required for future talent through software-oriented university in Korea. In the university selected as a software-oriented university, basic software education is given to all departments such as humanities, social science, engineering, natural science, arts and the sports within the university in order to foster convergent human resources with different knowledge and software literacy. In this paper, we analyze the contents of basic software education for twenty universities selected as software-oriented universities. As a result of analysis, most of the basic software education which is carried out to the students of the non-majors students was aimed at improvement of problem solving ability centered on computational thinking for future society and improvement of convergence ability based on computer science. It uses block-based educational programming language and text-based advanced programming language to adjust the difficulty of programming contents and contents reflecting characteristics of each major. Problem-based learning, project-based learning, and discussion method were used as the teaching and learning methods for problem solving. In the future, this paper will help to establish the systematic direction for basic software education of non-majors students.

• Journal of Internet Computing and Services
• /
• v.20 no.4
• /
• pp.91-102
• /
• 2019

In autonomous driving systems, the ability to classify pedestrians in images captured by cameras is very important for pedestrian safety. In the past, after extracting features of pedestrians with HOG(Histogram of Oriented Gradients) or SIFT(Scale-Invariant Feature Transform), people classified them using SVM(Support Vector Machine). However, extracting pedestrian characteristics in such a handcrafted manner has many limitations. Therefore, this paper proposes a method to classify pedestrians reliably and effectively using CNN's(Convolutional Neural Network) deep features and transfer learning. We have experimented with both the fixed feature extractor and the fine-tuning methods, which are two representative transfer learning techniques. Particularly, in the fine-tuning method, we have added a new scheme, called M-Fine(Modified Fine-tuning), which divideslayers into transferred parts and non-transferred parts in three different sizes, and adjusts weights only for layers belonging to non-transferred parts. Experiments on INRIA Person data set with five CNN models(VGGNet, DenseNet, Inception V3, Xception, and MobileNet) showed that CNN's deep features perform better than handcrafted features such as HOG and SIFT, and that the accuracy of Xception (threshold = 0.5) isthe highest at 99.61%. MobileNet, which achieved similar performance to Xception and learned 80% fewer parameters, was the best in terms of efficiency. Among the three transfer learning schemes tested above, the performance of the fine-tuning method was the best. The performance of the M-Fine method was comparable to or slightly lower than that of the fine-tuningmethod, but higher than that of the fixed feature extractor method.