The purpose of this study is to identify the factors affecting the Christian characters of Korean church members. In addition, this study also examined the virtues and measurement index of Christian characters, general factors of church members and relationship between 9 virtues of Christian characters of church members and related influences. In this study, a questionnaire survey was conducted with one to one interview through the assistance of church officials. The results based on the survey showed no significant differences in Christian characters according to the personal factors and church factors. However, it was identified that the church satisfaction among the church factors affected the Christian character. In order to improve the negative image of Korean church through this study, this study tries to show the relationship with Christian characters and the importance of Christian characters in the church and to suggest the necessity of education. This study seeks to review the correlation that the faith of Korean Christians, their status and title within the church, length of year they've had faith and their satisfaction with church life have with their well-rounded character as a Christian, what factors or values affect the personality of Christians in Korean chruches, and what programs or action steps can be taken to provide the most optimal and feasible way to promote a better well-rounded character in Korean Christians.
Despite the importance of science education in an informal environment, the reality is that there is a lack of trend analysis research on 'Informal Science Learning (ISL)' and its effects. Therefore, the purpose of this paper is to find out the educational effects of ISL and how to use it, and to provide guidelines for future ISL research directions. This study classifies specific ISL-related papers published from 2010 to 2019 and compares them with each element of GLO used to measure the effectiveness of informal education. The fit of the analyzed data was checked for each part through SPSS and Chi-Square. In conclusion, it was found that researchers are using 'ISL' to pursue 'Knowledge and Understanding' and 'Attitudes and Values' among the five performance indicators of 'GLO'. On the other hand, 'Skills' and 'Enjoyment, Inspiration and Creativity' appear to have the least expectations, so supplementation is required in these areas in the future. In addition, this study intends to suggest a direction for informal science education-related program development and future research to various education workers.
Coniferous forests in the Baekdudaegan protected area are gradually losing their landscape diversity and uniqueness along with their ecological stability due to changes in vegetation composition and structures caused by various disturbance factors, such as climate change, vegetation succession, and human interference. This study provides basic data for establishing a comprehensive conservation plan for coniferous forests in the Baekdudaegan protected area. We classified the vegetation unit types using the Zurich-Montpellier School of Phytosociology and two-way indicator species analysis methods and analyzed the species diversity and structural characteristics based on the vegetation information of 755 stands collected in the natural resources change survey of the Baekdudaegan mountains (2016 to 2020) by the Korea Forest Service. Therefore, the vegetation of the coniferous forests of theBaekdudaegan protected area was classified into 15 types under the vegetation unit hierarchy of two community groups, four communities, seven sub-communities, and 14 variants. Furthermore, we compared the total coverage among vegetation types, importance values, constancy classes, life-forms, and diversity indices. Additionally, the average total coverage and number of species per 100 m2 of all coniferous forests were 232% and 21 species, respectively, with the species diversity and dominance indices averaging 1.907 and 0.222, respectively.
Kim, Hyun-Seok;Kim, Hyun-Sung;Park, Byoungjae;Lee, Kangsu
Journal of the Computational Structural Engineering Institute of Korea
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v.34
no.5
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pp.263-270
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2021
In this study, a reliability-based design optimization of a 130-m class fixed-type offshore platform, to be installed in the North Sea, was carried out, while considering environmental, material, and manufacturing uncertainties to enhance its structural safety and economic aspects. For the reliability analysis, and reliability-based design optimization of the structural integrity, unity check values (defined as the ratio between working and allowable stress, for axial, bending, and shear stresses), of the members of the offshore platform were considered as constraints. Weight of the supporting jacket structure was minimized to reduce the manufacturing cost of the offshore platform. Statistical characteristics of uncertainties were defined based on observed and measured data references. Reliability analysis and reliability-based design optimization of a jacket-type offshore structure were computationally burdensome due to the large number of members; therefore, we suggested a method for variable screening, based on the importance of their output responses, to reduce the dimension of the problem. Furthermore, a deterministic design optimization was carried out prior to the reliability-based design optimization, to improve overall computational efficiency. Finally, the optimal design obtained was compared with the conventional rule-based offshore platform design in terms of safety and cost.
Journal of The Korean Association of Information Education
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v.25
no.5
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pp.691-704
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2021
The development of AI technology has brought about a big change in our lives. The importance of AI and data education is also growing as AI's influence from life to society to the economy grows. In response, the OECD Education Research Report and various domestic information and curriculum studies deal with data literacy and present it as an essential competency. However, the definition of data literacy and the content and scope of the components vary among researchers. Thus, we analyze the semantic similarity of words through Word2Vec deep learning natural language processing methods along with the definitions of key data literacy studies and analysis of word frequency utilized in components, to present objective and comprehensive definition and components. It was revised and supplemented by expert review, and we defined data literacy as the 'basic ability of knowledge construction and communication to collect, analyze, and use data and process it as information for problem solving'. Furthermore we propose the components of each category of knowledge, skills, values and attitudes. We hope that the definition and components of data literacy derived from this study will serve as a good foundation for the systematization and education research of AI education related to students' future competency.
In this study, AHP analysis was conducted on potential residents who are willing or likely to live in a smart city. The purpose is to identify priorities for strategic objectives. In order to establish a hierarchical structure for the vision, core values, and strategic goals of the smart city business, we researched domestic and overseas smart city-related academic papers and research reports, business plans, and institutional websites. After reviewing professors, researchers, experts, and focus groups, 4 2nd tier and 12 3rd tier properties were finally selected and the hierarchical structure was confirmed. As a result of AHP analysis, it was found that residents place the highest importance on quality of life in smart city projects. As a result of the analysis of the lower-level factors, it was found that safety was the most important. The priorities were analyzed in the order of living convenience, eco-friendliness, and social inequality resolution. It is expected that the results of this analysis will be able to suggest strategies to be established when promoting smart city projects in the future.
In this article, how the records were compiled, stored and managed during the latter half period of the Joseon dynasty is examined. In details, the compilation of and and Euigwe, the establishment of 'history chambers(史庫)' and the Wae-Gyujanggak facility, and the creation of records such as 'Shillok Hyeongji-an', are all investigated. Examination of all these details revealed that in the latter half period of the Joseon dynasty, it was the royal family which actively led the task of meticulously compiling records and also storing & managing those established materials with great integrity and passion. The intention behind creating all these records containing everything the kings said and done over centuries must have been determination to enhance the openness and integrity of politics in general, while also emphasizing the importance of such values inside the government. In order to establish a tradition preserving records not only for a limited time period but also for eternity, 'history chambers' were founded in rocky mountain areas, and additional chambers(Wae-Sago) were created as well, in areas deemed strategically safe in military terms such as the Ganghwa-do island. Officials put in charge by the king himself of historical documenting reported to the history chambers on a regular basis and checked the status of the materials in custody, and the whole checking process was documented into a form called 'Shillok Hyeongji-an'. And for long-term preservation of materials, officials sent by the king regularly took all the materials outside, and conducted a series of 'desiccating procedures', under strong sunlight('Poswae'). Thanks to the efforts of our ancestors who did their best to preserve all the records, and tried everything to manage them with great caution, we can examine and experience all these centuries-old materials, mostly intact. It is imperative that we inherit not only the magnificent culture of creating and preserving records, but also the spirit which compelled our ancestors to do so.
Journal of the Korea Academia-Industrial cooperation Society
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v.19
no.11
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pp.310-318
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2018
Recently, the importance of big data analysis is increasing as a large amount of data is generated by various devices connected to the Internet with the advent of Internet of Things (IoT). Especially, it is necessary to analyze various large-scale IoT streaming sensor data generated in real time and provide various services through new meaningful prediction. This paper proposes a real-time indoor PM10 concentration prediction LSTM model based on streaming data generated from IoT sensor using AWS. We also construct a real-time indoor PM10 concentration prediction service based on the proposed model. Data used in the paper is streaming data collected from the PM10 IoT sensor for 24 hours. This time series data is converted into sequence data consisting of 30 consecutive values from time series data for use as input data of LSTM. The LSTM model is learned through a sliding window process of moving to the immediately adjacent dataset. In order to improve the performance of the model, incremental learning method is applied to the streaming data collected every 24 hours. The linear regression and recurrent neural networks (RNN) models are compared to evaluate the performance of LSTM model. Experimental results show that the proposed LSTM prediction model has 700% improvement over linear regression and 140% improvement over RNN model for its performance level.
BACKGROUND/OBJECTIVES: Youth is the crucial stage between childhood and adulthood during which an individual acquires new behavior and practices including dietary habits, that may be influenced by his peers, social circle, nutrition knowledge level and other factors. The increase in awareness of young adults is of special importance from the perspective of health and prevention of obesity related chronic diseases. To measure the nutrition literacy level of university students using the Turkish version of Adolescent Nutrition Literacy Scale (ANLS). We evaluated their food habits using the Adolescent Food Habit Checklist (AFHC) tool and analysed it, if the eating habits were affected by nutrition literacy level. SUBJECTS/METHODS: A cross-sectional descriptive study was conducted on randomly selected 276 students studying in the Faculty of Health Sciences of Istanbul Aydin University, Turkey. Data was collected by means of ANLS and AFHC tools by face to face interview method. SPSS statistical sofware (IBM SPSS Statistics 19) was used to analyse the obtained data. RESULTS: Participants comprised of 47.1% males and 52.9% females with mean age of $20.0{\pm}1.60years$. Mean body mass index (BMI) was determined as $22.4{\pm}3.76$ ($23.6{\pm}3.63$ males $21.3{\pm}3.57$ females). Functional, interactive and critical nutritional literacy scores for male participants were $22.49{\pm}5.71$, $17.45{\pm}4.84$, and $28.28{\pm}7.13$ respectively (total $64.98{\pm}10.15$). For females the values were $24.66{\pm}5.13$, $20.17{\pm}4.28$, and $32.20{\pm}5.65$ (total $69.72{\pm}8.59$) respectively. For all the three sub-categories of nutrition literacy, the scores acquired by females were significantly higher than males (P < 0.001). In the AFHC tool, the mean score acquired by males were $9.26{\pm}4.18$ whereas for females it was $10.37{\pm}3.40$ significantly higher as compared to males (P = 0.007). CONCLUSION: The food habits of female participants were better than males; in accordance with their nutrition literacy status. It may be concluded that food habits are influenced by nutrition literacy and therefore stress much be given to increase the nutrition awareness among children youth as well as adults.
In this study, we examine the concept of social value which is the main philosophical foundation in government innovation pursued by Moon Jae-In government and analyze the case of government innovation which was promoted by specific local governments. The purpose of this study is to discuss the implications for the government innovation through the case study of local autonomous organizations. The studied local government is an institution that has received excellent evaluation of government innovation for the realization of social value by Ministry of Public Administration and Security. In this study, we conducted in-depth interviews with local governments and youths and examined the success factors of government innovation through active participation in community issues. First of all, institutional support such as ordinances is important for encouraging the participation of community members. It is also important for local governments to lead their own change and listen to their voices from a consumer perspective, not from a supplier perspective. In addition, significant importance of the incentive system that could induce continuous participation in community problems was found. In this way, it is possible to establish a continuous system to approach the problem of local community as consumer perspective, not supplier perspective, and solve the problem together.
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