• Journal of Industrial Convergence
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• v.21 no.1
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• pp.147-157
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• 2023

In this study, we approached from the perspective of AI convergence education in elementary, middle and high schools to understand AI convergence education. We examined what capabilities AI convergence education ultimately seeks to pursue, and analyzed various examples of AI convergence education in three dimensions: core curriculum, convergence model, AI learning elements and learning activities. In addition, factors to be considered in order for AI convergence education to be actively carried out include the cultivation of AI convergence education capabilities of teachers, the development and dissemination of AI teaching and learning methods and teaching and learning models, and evaluation methods for AI convergence education.

• Education of Primary School Mathematics
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• v.18 no.2
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• pp.107-122
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• 2015

This research aims to suggest a math-based convergence instructional model. The convergence instructional model with emphasis on problem solving ability was developed based on each subject and the STEAM model. Then, the appropriateness and limit of the classroom model were investigated, through examining the aspects of its realization in each stage of the class instruction model while enacting a four part lesson on 6th graders. As a result, each stage of the classroom instruction model influenced in helping the students discover various problem solving skills, critically examine the process of the solving, and attain positive perspectives on the classroom instruction. However, appropriate intervention of the teacher was needed to lead the students to further synthesize the explored issues in mathematics and to expand the scope of their emotional experience. This paper closes with suggestions in implementing math based convergence lessons.

• Journal of the Korea Convergence Society
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• v.6 no.2
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• pp.37-42
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• 2015

Nowadays, as the environmental pollution becomes severe on the earth, the water resource which can be used practically is dried up because of the natural disaster. And so, this is the time to be necessary to have the method for saving the water resource. This study investigates the distributions of velocity and temperature by the flow analysis inside the faucet models for bathroom. Model 3 has the most uniform distribution of temperature after mixing among all models. As model 3 has the smallest velocity distribution and the biggest space to mix by comparing the other models, it is seen to have the most influence on the discharged velocity of water and save the water. As the space of various configuration inside faucet model for bathroom is made by using the result of this study, it is thought to utilize at the development of this model in which more mixing becomes and the water can be saved. And it is possible to be grafted onto the convergence technique at design and show the esthetic sense.

• Journal of The Korean Society of Agricultural Engineers
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• v.64 no.6
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• pp.35-41
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• 2022

Heavy snow damage can be prevented in advance with an appropriate security system. To develop the security system, we developed a model that predicts snow depth after a few hours when the snow depth is observed, and utilized it to calculate a failure probability with various types of greenhouses and observed snow depth data. We compared the Markov chain model and Bayesian long short-term memory models with varying input data. Markov chain model showed the worst performance, and the models that used only past snow depth data outperformed the models that used other weather data with snow depth (temperature, humidity, wind speed). Also, the models that utilized 1-hour past data outperformed the models that utilized 3-hour data and 6-hour data. Finally, the Bayesian LSTM model that uses 1-hour snow depth data was selected to predict snow depth. We compared the selected model and the shifting method, which uses present data as future data without prediction, and the model outperformed the shifting method when predicting data after 11-24 hours.

• The Journal of Korean Medical History
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• v.30 no.2
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• pp.13-31
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• 2017

This study investigates research trends on the Convergence of Chinese and Western Medicine (中西醫匯通, CCWM), by first defining the concepts and the scope of this emerging field, identifying different types of convergence, and suggesting methods to evaluate the process. The author investigates the relationship of CCWM to the Self-Strengthening Movement and the doctrine of Zhongtixiyong (中體西用). Lessons that Korean Medicine (KM) can learn from this approachto help establish relationship between Korean and Western Medicine, are investigated. Proponents of CCWM suggest different types of convergence such as Zhongzhongcanxi (衷中參西), Zhongxizhezhong (中西折衷), and ZhongyiKexuehua (中醫科學化), to accommodate the change in the power dynamics between Chinese and Western medicines. The rigid dual medical system in Korea significantly hinders the potential for convergence. The current system is based on the relativistic model in which the scope of practice for the KM doctor and the Western Medicine doctor are mutually exclusive. Philosophically, the convergence of East-West medicine can be supported by pluralism and monism, while relativism sees it as impossible. A conservative pluralistic model might consider Bogu (補救) of Eastern Medicine, while a more progressive pluralistic model might build a New Medicine which combines the knowledge and techniques of Eastern and Western medicines. An example of monistic model is CAM (Complementary and Alternative Medicine), which aims to scientifically verify the efficacy and safety of the Eastern therapeutic practices and integrate them into Western medicine. This article proposes that as communication and fusion between medical disciplines are essential virtues of contemporary scholarly development, a change that enables the convergence of East-West medicine is needed.

• Journal of the Korea Society of Computer and Information
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• v.26 no.10
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• pp.109-116
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• 2021

In this paper, we propose the educational model for a convergence minor by fusing culinary arts with robot technology to develop coding ability for the students in the culinary arts major which is not originally related to software field. It is meaningful that the educational model follows the trend along the development of the fourth industrial revolution technology and has the function to make the students who are not in software major grow as software experts. However there are difficulties in designing the convergence minor because the culinary arts major is distant to the robot technology in the view of technology. To overcome this difficulty the convergence minor is designed to attract the interest for the students in culinary arts major by construct educational subjects systematically such as cooking, dessert making, barista working, autonomous serving and so on based on robots. Also the practices in which various robots are utilized are included in the convergence minor to develop actual coding ability. By comparison to the other models of convergence minors, the proposed model shows enhanced educational effects in 20% than the others.

• Advanced Industrial SCIence
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• v.3 no.1
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• pp.1-16
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• 2024

The purpose of this study is to develop a machine learning-based AI convergence class model and class design principles that can foster data literacy in high school students, and to develop detailed guidelines accordingly. We developed a machine learning-based teaching model, design principles, and detailed guidelines through research on prior literature, and applied them to 15 students at a specialized high school in Seoul. As a result of the study, students' data literacy improved statistically significantly (p<.001), so we confirmed that the model of this study has a positive effect on improving learners' data literacy, and it is expected that it will lead to related research in the future.

• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.233-237
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• 2020

In this study, the thermal analysis on the brake disc of electric kickboard was analyzed. The different heat is transmitted depending on the pad contact surface of brake disc. The trend that the temperature decreases at the part away from the contact surface was almost constant. And model A showed a slightly lower temperature distribution than model B. Model A has a maximum equivalent stress of 7% higher than model B. By being applied with the higher heat transfer above the contact surface, it is thought that model B has a greater strength than model A if the design takes into account the corner of the brake disc. If this study result is utilized to the design of electric kickboard, the design of brake disc with better strength is considered to be established. The durability of brake against the heat can be evaluated by applying this study result to the brake disc of electric kickboard. And it is seen that the result can be the design of brake with strength and the aesthetic convergence.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.295-300
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• 2015

In vocabulary recognition using an HMM model which models the prior distribution for the observation of a discrete probability distribution indicates the advantages of low computational complexity, but relatively low recognition rate. The Bayesian techniques to improve vocabulary recognition model, it is proposed using a convergence of two methods to improve recognition noise-canceling recognition. In this paper, using a convergence of the prior probability method and techniques of Bayesian posterior probability based on HMM remove noise and improves the recognition rate. The result of applying the proposed method, the recognition rate of 97.9% in vocabulary recognition, respectively.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.593-604
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• 2020

This study analyzes human development convergence and the impact of funds transfer to the regions using σ and β-convergence analysis method. Observations were made in all Indonesia's provinces in the period 2010-2019. The coefficient of variation calculation shows a dispersion in the inequality of human development, which means that convergence occurred. This is also documented by the clustering analysis results developed in the study. The results are in line with the hypothesis of neoclassical theory, which shows the tendency for provinces with lower human development levels to grow relatively faster. The dynamic panel data approach with the GMM model shows that a model built with explanatory variables for transfer of funds to regions may lead to the process of convergence of human development - 2.21% per year or 31 years to cover the half-life of convergence. This is a consequence of the Special Allocation Fund and the Village Fund, which positively impact the convergence process, and the General Allocation Fund and the Revenue Sharing Fund with negative signs slowing the convergence process. This evidence opens opportunities to review the justification of the weighting component in determining the amount of funds transferred to the region to accelerate the convergence process of human development.