• Communications of Mathematical Education
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• v.37 no.4
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• pp.717-736
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• 2023

The purpose of this study is to develop a statistical program using data and artificial intelligence prediction models and apply it to one class in the sixth grade of elementary school to see if it is effective in improving students' statistical literacy. Based on the analysis of problems in today's elementary school statistical education, a total of 15 sessions of the program was developed to encourage elementary students to experience the entire process of statistical problem solving and to make correct predictions by incorporating data, the core in the era of the Fourth Industrial Revolution into AI education. The biggest features of this program are the recognition of the importance of data, which are the key elements of artificial intelligence education, and the collection and analysis activities that take into account context using real-life data provided by public data platforms. In addition, since it consists of activities to predict the future based on data by using engineering tools such as entry and easy statistics, and creating an artificial intelligence prediction model, it is composed of a program focused on the ability to develop communication skills, information processing capabilities, and critical thinking skills. As a result of applying this program, not only did the program positively affect the statistical literacy of elementary school students, but we also observed students' interest, critical inquiry, and mathematical communication in the entire process of statistical problem solving.

• Journal of Venture Innovation
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• v.6 no.3
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• pp.165-184
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• 2023

Since municipal welfare institutions operate for different purposes from general companies or public enterprises, ESG practice items and model construction should be conducted through various and comprehensive social welfare studies. Since there are not many studies available in domestic welfare institutions yet and there are no suitable ESG management utilization indicators, the Cheonan Welfare Foundation's strategy and management strategy system were established to spread the model to other welfare institutions and become a leading foundation through education and training. The foundation and front-line welfare institutions selected issues identification and key issues through the foundation's empirical analysis and criticality analysis, focusing on understanding ESG management and ways to establish a practice model that positively affects institutional image and business performance. Based on this, the promotion system was examined by establishing a performance management plan after deriving appropriate strategies and establishing a strategic system for social welfare institutions. Environmental and social responsibility, transparent management, safety management system establishment, emergency and prevention, user (customer) satisfaction system establishment, anti-corruption prevention and integrity ethics monitoring and evaluation, responsible supply chains, and community contribution programs. This study attempted to specifically present efforts to settle ESG management through the consideration of the Cheonan Welfare Foundation. Therefore, it is considered to be useful data for developing ESG management by referring to the systematic development process of the Cheonan City Restoration Foundation to develop ESG measurement indicators.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.589-594
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• 2023

K-POP plays a key role in the Korean Wave and is becoming more popular over time. In K-POP, K-POP dance plays an important role in increasing public interest and support and reflects the taste of the audience according to the rapidly changing times. In addition, it has a variety of unique choreography forms, such as point choreography and dance that is perfectly in sync associated with the lyrics of the song, so it has sufficient possibility to raise its status independently. In order to examine the fact that K-POP dance is not an element included in K-POP, this researcher tried to investigate the case of interest in -K-POP dance in various ways and to clarify the meaning of the existence of K-POP dance once again. K-POP dance is gaining international interest and support through the mass media through various examples, raising the awareness of choreographers. In addition, created the integration of various races and ages. It also continues to help the country's economic growth while expanding to education. It also serves as a cultural notification in that it promotes Korean culture and manners along with -K-POP dance. However, this researcher emphasizes that for the continuous growth and independence of K-POP dance in the future, a program to cultivate systematic educators are needed, and the efforts of K-POP dance educators and choreographers are needed accordingly.

• Knowledge Management Research
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• v.24 no.4
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• pp.131-152
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• 2023

One of the key domains within a smart tourism city, smart mobility, encompasses advanced transportation means and services rooted in Information and Communication Technology (ICT). This includes shared bicycles, scooters, car-sharing services, smart transportation infrastructure, and more, aiming to surpass limitations of conventional transport and improve the movement of people and goods. It also serves tourists as an affordable and convenient mode of transport between attractions while also enhancing the overall travel experience. This study has defined 'smart tourism mobility' as a form of mobility grounded in ICT, exhibiting exceptional connectivity, serving public interest, and serving as a mode of transport for both residents and tourists in a smart tourism city. The research aimed to outline the scope of smart tourism mobility-related industries through expert Delphi surveys and estimate their economic effects within a smart tourism city. Specifically, this study updated 2015 input-output table and made 2020 regional input-output table of Seoul adopting RAS method and location quotient method. The results showed that the about 2.8 billion KRW investment of Seoul in smart tourism mobility may create more than 4.1 billion KRW in production inducement effect which is expected to create more than 1.6 billion KRW of income-inducing effect, 3.6 billion KRW of value-added-inducing effect, and 54 employment across all industries in Seoul in 2022.

• Korean Journal of Environment and Ecology
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• v.38 no.1
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• pp.79-89
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• 2024

The purpose of this study was to evaluate the area adjustment criteria and methods of the feasibility study of national park plans by applying them to Hallyeohaesang National Park. As a result of the ecological-based assessment used to identify the adjustment target areas, the ecological-based assessment Grades I and II that can be considered for inclusion were analyzed as 10.0% and 40.4%, respectively. Grade V, which can be considered for release, was 9.9%. As a result of the inclusion and release suitability assessment, the area subject to inclusion was 35.150 km² (3.669 km² on land and 31.481 km² at sea), and the area subject to release was 0.071 km² on land. When local governments and residents request the release of a park area for public interest or convenience, the release can be considered as long as the total area does not change, which is called a mutual exchange. The release area determined by mutual exchange was 10.386 km². It was 146 times the area determined by the suitability assessment for release. Matching the areas released by the mutual exchange with the ecological-based assessment, 70.6% (7.321 km²) was in Grades I and II, which can never be released. As a result, it was determined that the area adjustment of the feasibility study of Hallyeohaesang National Park was based on a very limited application of the results of the ecological-based assessment or the release suitability assessment. Also, mutual exchange was the key to area adjustment of the feasibility studies of national parks.

• Convergence Security Journal
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• v.24 no.1
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• pp.51-57
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• 2024

Although industrial control systems (ICSs) recently keep evolving with the introduction of Industrial IoT converging information technology (IT) and operational technology (OT), it also leads to a variety of threats and vulnerabilities, which was not experienced in the past ICS with no connection to the external network. Since various control command messages are sent to field devices of the ICS for the purpose of monitoring and controlling the operational processes, it is required to guarantee the message integrity as well as control center authentication. In case of the conventional message integrity codes and signature schemes based on symmetric keys and public keys, respectively, they are not suitable considering the asymmetry between the control center and field devices. Especially, compromised node attacks can be mounted against the symmetric-key-based schemes. In this paper, we propose message authentication scheme based on double hash chains constructed from cryptographic hash function without introducing other primitives, and then propose extension scheme using Merkle tree for multiple uses of the double hash chains. It is shown that the proposed scheme is much more efficient in computational complexity than other conventional schemes.

• Information Systems Review
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• v.19 no.2
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• pp.185-209
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• 2017

In modern society, crime records have been digitized. Digital information is difficult to distinguish from original information, but the former is easy to modulate. This situation explains the increasing importance of digital forensics. However, digital forensic has several inefficiencies because of the rapid development of technology, unclear jurisdiction, and tool errors. This study surveyed digital forensic specialists and derived the priority of domestic digital forensic issues by redefining 17 issues in digital forensics from Brungs-Jamieson study in Australia. The present study was divided into four groups, namely, police, government and public corporations, private companies, and legal groups. The study could compare and analyze comparative analysis of existing studies in Australia and the US. This study can also examine differences in the results of each group in Korea. Thus, the key issues in Korea were derived as "Requirements to 'Fire Up' Original." The differences of the three groups in terms of legal issues were then identified. This finding enables us to understand differences in priorities and importance between groups and countries.

• The Journal of Korean Society for School & Community Health Education
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• v.25 no.1
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• pp.1-15
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• 2024

Objectives: This study aims to examine the general characteristics and physical activity characteristics of young and middle-aged individuals with hypertension, with the goal of identifying key influencing factors and providing public health policy recommendations. Methods: Participants in this study used data from the 2021 Community Health Survey. The study participants include 5,511 individuals diagnosed with hypertension in the young and middle-aged group (aged 19 to 49). The collected data were analyzed using SPSS 26.0. Results: Model 1 is the influencing factors of young and middle-aged hypertensive patients according to general characteristics. The explanatory power is R²= .065. The influencing factors are as follows. Economic activity (𝛽= -.219, p<.001), breakfast per week (𝛽= .117, p<.001), gender (𝛽= .090, p<.001), subjective health status (𝛽= .073, p<.001), and education level (𝛽= .069, p<.001). Model 2 is the influencing factors of young and middle-aged hypertensive patients, including physical activity characteristics. The explanatory power is R²= .076. The influencing factors are as follows. Strength exercises (𝛽= -4.791, p<.001), the walking activity (𝛽= -2.694, p<.01), and the high-intensity physical activity (𝛽= -2.629, p<.01). Conclusion: The active management of young and middle-aged hypertension is essential to prevent progression to serious disease. To prevent hypertension in young and middle-aged people, health education is needed to develop and utilize health promotion programs that take into account general characteristics and physical activity characteristics.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.26 no.6
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• pp.67-84
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• 2023

In some areas of the Republic of Korea, the designation and management of conservation areas do not adequately reflect regional characteristics and often impose behavioral regulations without considering the local context. One prominent example is the Busan EDC area. As a result, conflicts may arise, including large-scale civil complaints, regarding the conservation and utilization of these areas. Therefore, for the efficient designation and management of protected areas, it is necessary to consider various ecosystem factors, changes in land use, and regional characteristics. In this study, we specifically focused on the Busan EDC area and applied machine learning techniques to analyze the habitat of regional species. Additionally, we employed Explainable Artificial Intelligence techniques to interpret the results of our analysis. To analyze the regional characteristics of the waterfront area in the Busan EDC district and the habitat of migratory birds, we used bird observations as dependent variables, distinguishing between presence and absence. The independent variables were constructed using land cover, elevation, slope, bridges, and river depth data. We utilized the XGBoost (eXtreme Gradient Boosting) model, known for its excellent performance in various fields, to predict the habitat probabilities of 11 bird species. Furthermore, we employed the SHapley Additive exPlanations technique, one of the representative methodologies of XAI, to analyze the relative importance and impact of the variables used in the model. The analysis results showed that in the EDC business district, as one moves closer to the river from the waterfront, the likelihood of bird habitat increases based on the overlapping habitat probabilities of the analyzed bird species. By synthesizing the major variables influencing the habitat of each species, key variables such as rivers, rice fields, fields, pastures, inland wetlands, tidal flats, orchards, cultivated lands, cliffs & rocks, elevation, lakes, and deciduous forests were identified as areas that can serve as habitats, shelters, resting places, and feeding grounds for birds. On the other hand, artificial structures such as bridges, railways, and other public facilities were found to have a negative impact on bird habitat. The development of a management plan for conservation areas based on the objective analysis presented in this study is expected to be extensively utilized in the future. It will provide diverse evidential materials for establishing effective conservation area management strategies.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.23-31
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• 2024

The purpose of this study is to present the direction of teacher training to the future society by analyzing the key directions for teacher training announced by the Teacher Education and Training Department of the Ministry of Education for the past three years (2021, 2022, and 2023). The research results are as follows. First, there has been no change in the background for teacher training over the past three years. The background for the promotion of teacher training over the past three years is to increase teacher expertise, respond to the future environment, improve the quality of teacher training, and secure momentum for educational policy. The details of the background for the promotion have also remained unchanged over the past three years. Second, the teacher training vision for the past three years is innovation in the teacher training system. To this end, the vision is to lead changes in the future educational environment in 2021, to lead future public education in 2022, and to provide customized educational support for individual students in 2023. In terms of training goals, in 2021, the goal is to continuously develop professionalism appropriate for the life stage of teachers and enhance teacher core competencies suitable for the future educational environment, and in 2022, to strengthen teacher capabilities appropriate for the future education system and secure social trust through enhancing teacher training. In 2023, the focus is on changing classroom teaching through strengthening teacher capabilities suitable for the future education system and improving teacher training. There are three main directions for teacher training over the past three years. First, customized training support, second, strengthening the future training system, and third, improving teacher training. These three are all similar over the past three years. In conclusion, there has been no significant change in the direction of teacher training over the past three years.