• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.373-379
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• 2023

Creative teaching methods can be beneficial in enhancing creativity and self-directed learning abilities in the classroom. However, there may be some specific learning tasks where applying creative teaching methods can be difficult. This is because students may not have completed the necessary prerequisite learning before performing the learning task, leading to low reliability of task results or meaninglessness. This study aims to propose teaching methods that enhance creativity and self-directed learning ability when performing learning tasks that may not have sufficient prior learning. To achieve this, we present a case of applying creative teaching methods to a learning task called "national threats". As a research procedure, we provide a suitable teaching method model and detailed procedures for the given learning task, and apply them in actual classes. The results showed that applying the presented teaching methods for the learning task produced meaningful academic achievements. This study can be valuable not only for enhancing creativity in education but also for interdisciplinary research in fields such as education and national security.

• Journal of Korea Entertainment Industry Association
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• v.8 no.2
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• pp.283-297
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• 2014

The future of human life is expected to be innovative by increasing social, economic, political and personal, including all areas of life across the multi-disciplinary skills. Particularly, in the field of robotics and next-generation games with robots, by multidisciplinary contributions and interaction, convergence between technology is expected to accelerate more and more. The purpose of this study is that by new interface model beyond the technical limitations of the "human-robot interface technology," until now and time and spatial constraints and through fusion of various modalities which existing human-robot interface technologies can't have, the research of more reliable and easy free "human-robot interface technology". This is the research of robot game system which develop and utilizing real time synchronization engine linking between biped humanoid robot and the behavior of the position value of mobile device screen's 3D content (contents), robot (virtual robots), the wireless protocol for sending and receiving (Protocol) mutual information and development of a teaching program of "Direct Teaching & Play" by the study for effective teaching.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.6
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• pp.947-960
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• 2023

In Korea, traditional paper promissory notes are currently undergoing a transformation, being gradually replaced by electronic notes. This transformation is being steered under the Korea Financial Telecommunications Institute, a trusted authority. However, existing electronic systems have security vulnerabilities, including the risk of hacking and internal errors within the institute. To this end, we have defined a novel anonymous electronic promissory note system based on blockchain. We have constructed a concrete protocol and conducted security analysis of our protocol. Note that, in our protocol, every note information is committed so that the note remains undisclosed until the point of payment. Once the note information becomes public on the blockchain, it enables the detection of illicit activities, such as money laundering and tax evasion. Furthermore, our protocol incorporates a feature of split endorsement, which is a crucial functionality permitted by the Korean electronic note system. Consequently, our proposed protocol is suitable for practical applications in financial transactions.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.6
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• pp.1133-1142
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• 2023

A rapid increase in power capacity in a power system can seriously reduce system reliability by causing the fault capacity to exceed the breaking capacity of circuit breaker. Fault current limiter is a practical and effective way to improve reliability by limiting fault capacity to the breaking capacity level. In this study, in order to help develop an application methodology when applying fault current limiters to power systems, first the topology and operating principles of each type of fault current limiters was reviewed, and the main advantages and disadvantages was compared. Next, to verify the effect of applying fault current limiter to the power system, the power system in which the fault current limiter was introduced was modeled. Finally, after simulating a three-phase short-circuit fault using EMTP-RV, the effect of application was verified by comparing the fault current before and after application of the fault current limiter and confirming that the fault current was reduced by the fault current limiter.

• Journal of the Korea institute for structural maintenance and inspection
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• v.28 no.3
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• pp.59-65
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• 2024

In this study, in order to improve the mechanical properties and durability of asphalt mixtures, a modifier (CSM, Cationized Silicate Modifier) was applied to asphalt to derive optimal mixing ratio conditions. Design of asphalt mixture using modified asphalt binder was conducted, and moisture resistance and dynamic stability were evaluated for optimal mixing conditions. The evaluation results showed that it exceeded the standards stipulated in the relevant guidelines, and as a result of conducting a water permeability test on the optimal mixing condition, it was confirmed that impermeable performance was secured. As a result of examining the noise reduction performance through field test, a noise reduction performance of about 10 dB was secured compared to before paving. It will be necessary to secure reliability through continuous noise generation evaluation in the future.

• Journal of Internet Computing and Services
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• v.25 no.2
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• pp.29-38
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• 2024

After Transcatheter Aortic Valve Replacement (TAVR), comprehensive management of complications, including the need for Permanent Pacemaker Implantation (PPI), is crucial, increasing the demand for accurate prediction models. Departing from traditional image-based methods, this study developed an optimal PPI prediction model based on ECG data using the XGBoost algorithm. Focusing on ECG signals like DeltaPR and DeltaQRS as key indicators, the model effectively identifies the correlation between conduction disorders and PPI needs, achieving superior performance with an AUC of 0.91. Validated using data from two hospitals, it demonstrated a high similarity rate of 95.28% in predicting PPI from ECG characteristics. This confirms the model's effective applicability across diverse hospital data, establishing a significant advancement in the development of reliable and practical PPI prediction models with reduced dependence on human intervention and costly medical imaging.

• Journal of the Korea Society of Computer and Information
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• v.29 no.7
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• pp.181-190
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• 2024

This study investigated the degree of influence of satisfaction with lab classes related to the culinary arts major on academic stress and class participation in the major. This survey was conducted on 228 first-year students majoring in culinary arts at six junior colleges in the Gwangju, Jeonnam and Jeonbuk regions in the second semester of 2023. For data processing, SPSS Ver. 25.0 was used. We conducted general characteristics, reliability analysis, exploratory factor analysis, correlation analysis, multiple regression analysis on the survey data. As a result of this study, first, it was found that there was a correlation between the sub-components of satisfaction with cooking-related lab classes and academic stress and class participation. Second, the influence of satisfaction with cooking lab classes on major academic stress was found to be significant. Third, satisfaction with cooking lab classes had a significant influence on class participation in major classes. In conclusion, satisfaction with lab classes in cooking-related majors at local community colleges was found to have an effect on academic stress and class participation. In the future, we look forward to follow-up research on how culinary practice experience before entering college affects satisfaction with practical training classes, academic stress, and career and employment preparation.

• Journal of Information Technology Services
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• v.23 no.1
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• pp.97-121
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• 2024

As data usage grows in importance, ensuring individual control over personal information becomes critical. The emergence of the 'MyData' concept addresses this, particularly in financial services. Although the institutional and technological framework for financial MyData services is in place, there's a need to establish consumer understanding and perception of its usefulness and safety for successful activation. This study focuses on investigating the impact of trust on the intention to use the new mobile banking service, financial MyData. This study has three objectives. Firstly, to analyze whether trust in financial MyData services and trust in financial MyData service providers affect the intention to use financial MyData services. Secondly, to analyze the process of forming trust in financial MyData services based on the phenomenon of transferring trust in service providers to trust in services. Thirdly, to identify the process by which trust transfer occurs between service providers and financial MyData services. Ultimately, the goal of this study is to promote the intention to use financial MyData services based on the concept of trust and to activate these services. In summary, this study emphasizes the significance of trust in financial MyData services, exploring its impact on user intention and the transfer of trust from providers to services. By promoting consumer trust, the research aims to contribute to the activation of financial MyData services.

• The Mathematical Education
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• v.63 no.2
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• pp.209-231
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• 2024

The education sector is undergoing significant changes due to the Fourth Industrial Revolution and the advancement of artificial intelligence. Particularly, the importance of education based on artificial intelligence is being emphasized. Accordingly, the purpose of this study is to develop a statistics education program using deep learning prediction in high school mathematics and to examine the impact of such statistically problem-solvingcentered statistics education programs on high school students' statistical literacy and computational thinking. To achieve this goal, a statistics education program using deep learning prediction applicable to high school mathematics was developed. The analysis revealed that students' understanding of context improved through experiencing how data was generated and collected. Additionally, they enhanced their comprehension of data variability while exploring and analyzing various datasets. Moreover, they demonstrated the ability to critically analyze data during the process of validating its reliability. In order to analyze the impact of the statistics education program on high school students' computational thinking, a paired sample t-test was conducted, confirming a statistically significant difference in computational thinking between before and after classes (t=-11.657, p<0.001).

• Journal of the Korean Society of Radiology
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• v.85 no.2
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• pp.456-462
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• 2024

Primary aldosteronism is a group of disorders in which the autonomous secretion of aldosterone is associated with hypertension and hypokalemia. It is crucial to determine the laterality of aldosterone hypersecretion because treatment options differ accordingly. Adrenal venous sampling (AVS) is considered the most reliable method for assessing the laterality of primary aldosteronism. This procedure is often technically challenging because of the small size and varied locations of the adrenal veins. A better understanding of anatomical variations and careful review of imaging studies would improve sampling success. This report presents three cases of anatomical variations encountered during AVS.