• Journal of Christian Education in Korea
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• v.70
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• pp.175-206
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• 2022

In this study, a mixed research method that collects and analyzes qualitative and quantitative data together was used to broaden the understanding of young children's faith. First of all, the contents of interviews with 18 research participants were divided into categories, and the frequency of each category was calculated. From 75 statements made in the interview, the importance of each was evaluated with a 5-point Likert scale. The means and standard deviations of the evaluation score were calculated, and sub-factors were identified through exploratory factor analysis. The frequency of categories mentioned in the qualitative interview was in the following order: faith manifested in difficulties, religious activities, Christian education at home, Christian education in the church, love and faith in God, and the formation of a Christian worldview (identity). The statement on the perception of God, theological concepts, religious activities, and Christian education at home and in the church received high scores. On the other hand, statements on developmentally difficult or abstract content, value judgment or conflict resolution based on the Word, and evangelism showed low scores. The sub-factors extracted through factor analysis were faith education through home and church, awareness of God and religious activities, identity based on the gospel, character based on the gospel, and overcoming a crisis through faith. In conclusion, the results of each of the mixed methods of looking at young children's faith were very similar-relationships with God, religious activities, Christian worldview (identity), Christian education at home and church were highlighted, even though various methods were used. This study is meaningful in that it suggests what and how to teach in early childhood Christian education.

• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.57-71
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• 2013

Over a billion people in the world generate new news minute by minute. People forecasts some news but most news are from unexpected events such as natural disasters, accidents, crimes. People spend much time to watch a huge amount of news delivered from many media because they want to understand what is happening now, to predict what might happen in the near future, and to share and discuss on the news. People make better daily decisions through watching and obtaining useful information from news they saw. However, it is difficult that people choose news suitable to them and obtain useful information from the news because there are so many news media such as portal sites, broadcasters, and most news articles consist of gossipy news and breaking news. User interest changes over time and many people have no interest in outdated news. From this fact, applying users' recent interest to personalized news service is also required in news service. It means that personalized news service should dynamically manage user profiles. In this paper, a content-based news recommendation system is proposed to provide the personalized news service. For a personalized service, user's personal information is requisitely required. Social network service is used to extract user information for personalization service. The proposed system constructs dynamic user profile based on recent user information of Facebook, which is one of social network services. User information contains personal information, recent articles, and Facebook Page information. Facebook Pages are used for businesses, organizations and brands to share their contents and connect with people. Facebook users can add Facebook Page to specify their interest in the Page. The proposed system uses this Page information to create user profile, and to match user preferences to news topics. However, some Pages are not directly matched to news topic because Page deals with individual objects and do not provide topic information suitable to news. Freebase, which is a large collaborative database of well-known people, places, things, is used to match Page to news topic by using hierarchy information of its objects. By using recent Page information and articles of Facebook users, the proposed systems can own dynamic user profile. The generated user profile is used to measure user preferences on news. To generate news profile, news category predefined by news media is used and keywords of news articles are extracted after analysis of news contents including title, category, and scripts. TF-IDF technique, which reflects how important a word is to a document in a corpus, is used to identify keywords of each news article. For user profile and news profile, same format is used to efficiently measure similarity between user preferences and news. The proposed system calculates all similarity values between user profiles and news profiles. Existing methods of similarity calculation in vector space model do not cover synonym, hypernym and hyponym because they only handle given words in vector space model. The proposed system applies WordNet to similarity calculation to overcome the limitation. Top-N news articles, which have high similarity value for a target user, are recommended to the user. To evaluate the proposed news recommendation system, user profiles are generated using Facebook account with participants consent, and we implement a Web crawler to extract news information from PBS, which is non-profit public broadcasting television network in the United States, and construct news profiles. We compare the performance of the proposed method with that of benchmark algorithms. One is a traditional method based on TF-IDF. Another is 6Sub-Vectors method that divides the points to get keywords into six parts. Experimental results demonstrate that the proposed system provide useful news to users by applying user's social network information and WordNet functions, in terms of prediction error of recommended news.

• The Journal of the Korean Society for Microbiology
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• v.22 no.1
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• pp.79-93
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• 1987

The result of various researches mainly in search of 194 Shigella strains, isolated by the Health Research Centers(situated in Seoul city, Inchon city, Pusan city, Kyonggi-Do, Kangwon-Do, Chungchongnam and Buk-Do, Kyongsangnam and Buk-Do, Jollanam and Buk-Do, and Jaeju-Do) in addition to those clinical laboratories of all the general hospitals situated down twon Seoul, conducted during the month of Jan. through Dec. 85, through the reisolating-activity program following its transportation into the laboratory, particularly for a complete check on its correctiveness, are as follows: 1. Isolation processes were performed with the 194 strains obtained from each placeduring the period of investigation: 164 Strains(84.5%) of Sh. flexneri, B group; 6 Strains(3.1%) of Sh. boydii, C group; 24 Strains(12.3%) of Sh. sonnei, D group, which means there's quite a lot in B group while Sh. dysenteriae, A group was not isolated at all. 2. The isolation rate of the 164, B group for subserotype was 1b, 84(51.2%) the highest one, 2(1.2%) on 3a the lowest one, 4, on C group; In D group subserotype II showed 14(58.4%) more than subserotype I. 3. The biological data on sexuality regarding the isolation-strain showed traditional particularity. But the subserotype 1b in B group 2(2.4%) showed gas-growth from glucose. In subserotype 1a, the indole-growth was 88.9% on masculine which was considerably a good one. In the test of arginine dihydrolase subserotype I among D group showed 100% masculine rate. The subserotype 6 among B group showed 92.5% masculine. In the dissolution test of manitol, all subserotypes showed 100% maculine except subserotype 1b. In the dissolutioning test of rhamnose, the subserotype I among D group showed 100% masculine which is the unusual one. 4. Interms of the area among 13 districts examined, Kangwon-Do had 41(21.1%) which is the highest one on its ratio. 5. In terms of season on the strain isolation category, 44(22.7%) is the number isolated in April which is the highest one. 6. In terms of ages, the strain isolation ratio was notably high above the ages of 60 which was 34(17.5%). Next one was 29(14.9%) which was under the ages of 4. 7. In terms of sex, female was 113 or 58.2% while male was 74 or 38.2%, which means the female had more than the male. 8. The result of the resisting capability on the usage of 12 antibiotic medication was; 100% on chloramphenicol; 94.3% on tetracycline, 82.0% on streptomycin, 76.3% on carbenicillin, 74.7% on ampicillin, in regular order. The strain source bearing multimedication resisivity against the 5 antibiotic medication is as many as 117 or 60.3%. Of which 43.3% of 1b sub serotype, B group was the best one, and thus the resistivity against the antistrain medication seems the tendency is being changed. The summing up of the above result shows the total specific strains isolated in each branch in Korea is 194, of which the main type is Sh. flexneri 84.5%. The isolating rate is almost evenly spreading, although the Kangwon-Do showed the highest rate on the above data. It also shows female is higher than male on its statistics. The tendency on age category showed both on old and infancy generations high. However, the resistant capability against antibacteria medication or vaccine was still remaining on habitual one, particularly tending towards multimedication or vaccine trend.

• Journal of the Korean Chemical Society
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• v.59 no.2
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• pp.164-178
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• 2015

The purpose of this study was to design a teaching and learning method conductive to the development of creative thinking skills and investigate its effects. It has been developed integrated mind map with feature of visualizing the divergent thinking to the aspects of Science (S), Technology (T) & Engineering (E), Arts (A), Mathematics (M). Integrated mind map can be divided into four types of STEAM type, STEA type, STEM type, STE type depending on the category of key words in the first branch. And Integrated mind map can be divided into three levels of guided, intermediate, open depending on the teacher's guide degree. And also integrated mind map activities were carried out in the form of group, class share as well as individual. This study was implemented during a semester and students in experiment group experienced individual-integrated mind map activity 10 times, group-integrated mind map activity 10 times, class share-integrated mind map activity 3 times. The results indicated that the experimental group presented statistically meaningful improvement in creative thinking skills (p<.05). And there was a statistically meaningful improvement in fluency, flexibility, originality as a sub-category of creative thinking skills(p <.05). Also creative thinking skills are not affected by the level of cognitive, academic performance, gender (p<.05). In conclusion, it was found that 'integrated mind map activity' improved student's creative thinking skills. There was no interaction effect about creative thinking skills between the teaching strategy and cognitive level, achivement, gender of those students.

• Journal of Animal Science and Technology
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• v.45 no.6
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• pp.997-1006
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• 2003

This study was conducted to investigate the national methane emission from livestock enteric fermentation. For methane emission estimation, livestock were mainly categorized to cattle, swine, poultry, sheep, goats and horses, and cattle were further sub-categorized to calves, fattening cattle, breeding cows in Hanwoo and calves, fattening cattle and lactating cows in dairy cattle. Tier 2 methane emission factors were deduced based on the characteristics of animal performances, live weight, slaughter weight, daily weight gain, and feed digestibility in each category. Tier 2 emission factors of Hanwoo range from 39 to 49 kg/head/year and it is similar to that of Tier 1(47kg/head/year). Tier 2 emission factor of dairy cattle was 107 kg/head/year and it is slightly lower than that of Tier 1(118kg/head/year). Total methane emission from livestock enteric fermentation by Tier 2 method was estimated to be 126.8 tones in 2001. The methane emissions by Hanwoo, dairy cattle, swine, goats, horses and sheep were 61.70, 47.76, 13.08, 2.25, 0.17 and 0.01 tones, respectively. By the use of Tier 2 method instead of Tier 1, the accuracy and reliability of methane emission estimates from livestock enteric fermentation in Korea is considered to be improved.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.4D
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• pp.613-622
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• 2011

The aim of this study is to provide fundamental references for the establishment of environmental policies by using and evaluating EPI (Environmental Performance Index). Data of EPI for this study come from the 2010 World Economic Forum. By using these variables, we have comparison analysis of EPI of 163 countries. Next, the object of similarity analysis using MDS is the OECD countries and shown on PREMAP, drawing the position of each nation in environmental category and environmental policy index. The result of this study shows that there are differences in environmental policy index according to each nation's income and furthermore, similarity analysis makes it possible to locate environmental policy index of each nation in an awareness, which would help to set directions of policies concerning environment through the comparison with other advanced countries. But it could be more worth investigating time-series analysis for the change of environment-related variables because EPI has been just four times published since its first announcement in 2002. Despite, such limits would be overcome through continuous data collected over time.

• Journal of the HCI Society of Korea
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• v.12 no.2
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• pp.31-40
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• 2017

This a qualitative research about the virtual personal assistant, voice recognition device SKT 'NUGU' which was launched on September 1, 2016. For the study, an in-depth interview was committed with the 9 research participants who had used this device for more than a month. For the result of the interview, 362 concepts were discovered and through open coding, axis coding, selective coding the concepts got categorized in 16 sub-categories and 10 top categories. After recognizing 362 concepts from the interview sources, I proposed a paradigm model from the open coding. And from the selective coding, the main category of the study has been narrowed down to understand the 'Usage Patterns by Each Type'. As a result of the typification, it was confirmed that the usage pattern can be described in two different types of the dependent and inquiry type. From the result of the research, it provided the basic data about the user experience of virtual assistant which can be utilized when suggesting virtual personal assistant in the near future.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.2
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• pp.27-38
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• 2018

Since the Korean economic development path has been unique compared to other counties, it is necessary to build an incubation ecosystem matching with unique economic environment in Korea. In order to revive the dynamism of the economy, establishment of the incubator ecosystem should be a policy priority so that ventures with innovative ideas and challenging minds can grow into a global stage. The purpose of this study is to derive the policy implications for establishing ecosystem and infrastructure by comparing to other OECD countries such as US, Israel, Finland, and Japan that can offer meaningful policy implications to Korea. For this purpose, the most appropriate model for explaining the incubation ecosystem in Korea was designed. PCII Model (People, Capital, Incubating, Infra) has 4 elements. It provides a framework for incubation of entrepreneurship, funding for start-up, incubation course, establishment of business foundation infrastructure. The comparative analysis was conducted with 12 sub-items under 4 elements and qualitative and quantitative evaluations were performed for each category. As a result of the comparative analysis, Korea's incubation policy seems to be still in the initial stage in terms of establishment of ecosystem compared to other countries. Therefore, a systematic approach based on the ecosystem model is needed other than the short-term incubation policy.

• Journal of Environmental Science International
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• v.24 no.1
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• pp.81-96
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• 2015

The characteristics of atmospheric dispersion of radioactive material (i.e. $^{137}Cs$) related to local wind patterns around the Kori nuclear power plant (KNPP) were studied using WRF/HYSPLIT model. The cluster analysis using observed winds from 28 weather stations during a year (2012) was performed in order to obtain representative local wind patterns. The cluster analysis identified eight local wind patterns (P1, P2, P3, P4-1, P4-2, P4-3, P4-4, P4-5) over the KNPP region. P1, P2 and P3 accounted for 14.5%, 27.0% and 14.5%, respectively. Both P1 and P2 are related to westerly/northwesterly synoptic flows in winter and P3 includes the Changma or typhoons days. The simulations of P1, P2 and P3 with high wind velocities and constant wind directions show that $^{137}Cs$ emitted from the KNPP during 0900~1400 LST (Local Standard Time) are dispersed to the east sea, southeast sea and southwestern inland, respectively. On the other hands, 5 sub-category of P4 have various local wind distributions under weak synoptic forcing and accounted for less than 10% of all. While the simulated $^{137}Cs$ for P4-2 is dispersed to southwest inland due to northeasterly flows, $^{137}Cs$ dispersed northward for the other patterns. The simulated average 137Cs concentrations of each local wind pattern are $564.1{\sim}1076.3Bqm^{-3}$. The highest average concentration appeared P4-4 due to dispersion in a narrow zone and weak wind environment. On the other hands, the lowest average concentration appeared P1 and P2 due to rapid dispersion to the sea. The simulated $^{137}Cs$ concentrations and dispersion locations of each local wind pattern are different according to the local wind conditions.

• The Journal of the Korea Contents Association
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• v.15 no.8
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• pp.588-597
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• 2015

This study is to distribute 5-year-old nuri curriculum science education contents in child picture books, and to investigate the categorical difference of science education contents between domestic and foreign picture books and among genres. The subjects were 219 picture books for children from 4 to 7, listed in which is published by Children's Book Study Group in 2012 and 2013. The research tool was from the article of 5-year-old nuri curriculum nature study, to analyze the contents of young children science education in the child picture books. Content analysis categories was set to two upper-categories and seven sub-categories. Research data were calculated in the analysis of the frequency and percentage of each item's category by the method of analysis conformity. In conclusion, first, in the analyzed result of the upper categories of young children science education contents in 219 picture books, the frequency appeared in order of 'Curious to maintain and expand', 'Learn living things and the natural environment', 'To explore the investigation technique', 'To enjoy the investigation technique', 'Utilize simple tools and machines', 'To search objects and materials', 'Learn natural phenomena'. Second, in the compared result between the domestic and foreign picture books and among genres, "scientific inquiry" is appeared more than "fostering an attitude of exploration".