• (The) Research of the performance art and culture
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• no.37
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• pp.223-247
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• 2018

A reading aloud performance is an activity in which the actors convey the meaning of the play to the audience through reading the play without memorizing the play. Although this term has been used for a long time, it can be said in the early 2000s that Korea began to pay attention to reading aloud performance in the cultural world. As the theater education is strengthened in the 2015 revision curriculum, interest in this "reading aloud performance" is also growing. In this article, we analyzed the reading aloud performance of the 8th contemporary Japanese drama '2018' in order to utilize the reading aloud performance in the educational field and to utilize it in the lecture of the children education. There are two types of rehearsals for the actors on stage: 'Reading by watching drama', 'Playing by memorizing drama', and 'Mixing two types'. In the end, the key is that there is no set rule for the type of reading aloud performance. It's not trouble to see or not to see the play. It is not necessary to have a stereotype that you should do a proper reading aloud performance in consideration of your situation, but that you should do this. If children understand the concept of read aloud performance in a flexible way, the educational effect will be greater. Based on this analysis, we suggested 'not sticking to the form of reading aloud performance' and 'choosing various types of reading aloud performance' as a criterion for applying to the education field for children. In addition, the sub-criteria required for selecting 'various types of lecture performances' include' selecting a specific scene in the content of the play ',' considering the level or situation of the student ',' not hesitating to make a new type of lecture performance '. I hope that this article will be a stepping stone to revitalize the discussion in the educational world where discussion on the performance of reading aloud is requested, and to solve the problem of lack of educational design due to lack of theory.

• Journal of Climate Change Research
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• v.2 no.3
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• pp.175-189
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• 2011

In this research, we describe the methodology and the quantification about GHG reduction effects, expected by optimization of operation mode according to establishing additional heat storage system of Bundang Combined Cycle Power Plant. As an intermediate form of General Combined Cycle Power Plant and Heat supply only district heating plant, Bundang Combined Cycle Power Plant(and Ilsan, Anyang, Bucheon) is possible to satisfy demand for the electrical load and thermal load capacity at the same time through changes to the operation mode itself. Therefore, through the operating transition of high-efficiency mode that the condenser cooling water is recovered and supplied to district heat and cooling, establishing additional heat storage system have flexible supply ability at the power and heat market. In this research, We calculated using the operating performance for the last three years(2008~2010) and efficiency of each mode-specific values. As a result, GHG reduction effects were calculated as $97.95kg_{-}CO_2/Gcal$ per heat energy 1 Gcal supplied at the heat storage system and we expected emmision reduction effect about $13,500Ton_{-}CO_2/yr$.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.115-126
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• 2021

The purpose of this study is to closely analyze the case of blended-learning in order to provide a diverse and flexible learning environment while maintaining the nature of face-to-face classes, and to identify the learning environment that supports blended-learning in each class step and the educational experience of students. The experience and satisfaction of blended learning were investigated in various ways: course evaluation, LMS activity evaluation, and questionnaire before and after the class. As a result, the blended-learning is better than the traditional face-to-face classes, in providing real-time feedback, opportunities for various interactions, and textual conversations, anytime and anywhere. In addition, as a result of the preliminary survey, as a measure to solve the opinion that concentration was reduced due to problems such as networks and felt uncomfortable in the communication part, the theory and lectures of the design practice class were conducted non-face-to-face. The individual Q&A and feedback were conducted face-to-face and non-face-to-face. As a result of the follow-up survey, it was found that concentration and efficiency could be improved. This opens up possibilities for active use of the online environment in design practice classes.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.389-399
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• 2020

Diverse official policies in community are available for caregivers to take care of the elderly in the US and the UK. This study aims to examine the recent changes in government supports based on The Recognize, Assist, Include Support and Engage (RAISE) in the US, and those by Carer Act 2014 in the UK, to take any good lessons for Korean policy. Caregivers will play a new role to develop innovative treatment for patient-centered care. The UK strengthens to provide various efforts for working carers while assuring economic efficiency in labor market with empirical evidence. The major four ways to support carers were developed agreed with the acknowledge of caregiving value and their human right; financial support, direct services for carers, flexible work time, and advocacy. Korean supports policies for carers in long-term care and social welfare will be more effective in community care system if more evidence based policies are prepared.

• The Korean Journal of Applied Statistics
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• v.34 no.3
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• pp.309-327
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• 2021

Dynamic treatment regimes (DTRs) are decision-making rules designed to provide personalized treatment to individuals in multi-stage randomized trials. Unlike classical methods, in which all individuals are prescribed the same type of treatment, DTRs prescribe patient-tailored treatments which take into account individual characteristics that may change over time. The Q-learning method, one of regression-based algorithms to figure out optimal treatment rules, becomes more popular as it can be easily implemented. However, the performance of the Q-learning algorithm heavily relies on the correct specification of the Q-function for response, especially in observational studies. In this article, we examine a number of double-robust weighted least-squares estimating methods for Q-learning in high-dimensional settings, where treatment models for propensity score and penalization for sparse estimation are also investigated. We further consider flexible ensemble machine learning methods for the treatment model to achieve double-robustness, so that optimal decision rule can be correctly estimated as long as at least one of the outcome model or treatment model is correct. Extensive simulation studies show that the proposed methods work well with practical sample sizes. The practical utility of the proposed methods is proven with real data example.

• Journal of Industrial Convergence
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• v.19 no.4
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• pp.29-35
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• 2021

Fintech, a new form of financial industry that converges IT, is developing rapidly in developed countries such as the US and China. The U.S. and China lowered barriers to entry through deregulation to develop and expand the fintech industry, and, for example, encouraged startup companies to incorporate various ideas through negative regulations that are more relaxed or do not apply regulations for a certain period of time. The U.S. and China did not apply existing financial regulations to the fintech industry, providing an environment where fintech startups could grow more easily. Currently, in Korea, fintech technologies such as 'Samsung Pay', 'Toss' and 'Kakao Pay' have been developed and are being activated, and also their scale is expanding. Although various systems are being reorganized and regulated for the development of Fintech, Fintech's growth rate is slow due to unfriendly and unopened regulations in the financial sector and various markets. This paper examines the status of fintech, focusing on advanced fintech and Korea, and examines fintech-related regulations that hinder the development of the fintech industry. We propose a more flexible way of easing excessive regulation in the financial sector, such as post-regulation.

• Journal of the Korean Regional Science Association
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• v.38 no.2
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• pp.59-72
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• 2022

In line with increasing interest of climate change and pedestrian rights, the city of Seoul has been implementing car-free pedestrian street policies. The government and the private sector agreed to introduce carfree streets, expecting to increase the urban vibrancy and attract customers in the streets. However, studies that empirically analyze the effects of the policy are insufficient, and there are no studies that reevaluate the car-free pedestrian street policy after the COVID-19 outbreak. Therefore, this study evaluates the car-free pedestrian street policy at the commercial street, the Jongno 52-gil, using the synthetic control method. As a result of the analysis, it was found that the car-free pedestrian street policy was valid for enhancing urban vibrancy. Also, it was found that proper time interval is required to assess the policy since the peak increase of policy was observed in 3 months after the policy implementation. However, less than a year, the increase of the de facto population density on the Jongno 52-gil was revealed to be insignificant. In addition, the Jongno 52-gil was more vulnerable in the decrease of the de facto population density in the COVID-19 period than the synthetic control region. The results of this study suggest that long-term population inflow measures and flexible counterplan to contagious diseases are necessary in the car-free pedestrian street policy.

• Journal of Environmental Impact Assessment
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• v.32 no.4
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• pp.230-241
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• 2023

At a time when it is urgent to establish a management system for landscape quality assessment of offshore wind farms in Korea, we analyzed foreign cases to draw implications for improving the landscape quality assessment of offshore wind farms in Korea and to explore the direction of efficient landscape assessment. The main contents derived from the analysis of overseas cases and systems are as follows. First, offshore wind farms are large-scale projects, and it is necessary to consider the landscape from the pre-planning stage, as in overseas cases. Second, the evaluation items for marine landscape quality should be expanded and systematized. Third, a flexible evaluation system that can consider new landscape impacts is required. In order to identify the landscape impacts of offshore wind farm projects, we refer to the landscape assessment items and procedures derived from overseas cases, but reflect them appropriately to the domestic maritime conditions, and specifically introduce a plan to minimize the landscape impacts that may occur during offshore wind farm projects to contribute to the sustainable use of offshore wind power.

• Communications of Mathematical Education
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• v.36 no.1
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• pp.1-21
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• 2022

The purpose of this study is to analyze the current situation of EduTech, which is proposed as a way to build a flexible learning environment regardless of time and place according to the use of digital technology in mathematics subjects. The process of designing classes to use the EduTech platform, which is still in the development introduction stage, in public education is still difficult, and research to observe its effects and characteristics is also in its early stages. However, in the stage of preparing for future education, it is a meaningful process to grasp the current situation and point out the direction in preparation for the future in which EduTech will be actively applied to education. Accordingly, the current situation and utilization trends of EduTech at home and abroad were confirmed, and the functions and roles of EduTech platforms used in mathematics were analyzed. As a result of the analysis, the EduTech platform was pursuing learners' self-directed learning by constructing its functions so that they could be useful for individual learning of learners in hierarchical mathematics education. In addition, we have confirmed that the platform is evolving to be useful for teachers' work reduction, suitable activities, and evaluations learning management. Therefore, it is necessary to implement instructional design and individual customized learning support measures for students that can efficiently utilize these platforms in the future.

• Advanced Industrial SCIence
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• v.2 no.2
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• pp.9-15
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• 2023

Since silicone rubber heaters are flexible, they can be directly attached or installed in objects to be heated even in flat, curved or three-dimensional shapes. Since the current heating method heats the entire object to be heated and raises it to a required temperature, ignoring areas or positions where heat is not required, partial intensive heating cannot be performed. When using multi-heating zones, rather than heating the entire object to be heated, only the parts that need heat are intensively heated according to the process, so it is possible to heat quickly by local location by applying different amounts of heat with a small amount of electric capacity to each place that needs heat, and heat energy can reduce. In this study, the temperature and heating time of the partially concentrated region in the multi-heating region structure are measured so that a uniform temperature or temperature difference occurs in the region requiring thermal fusion. In order to determine the optimal power density range and reduce capacitance, the safety of a silicon rubber heater manufactured with a multi-heating zone structure is investigated. If the silicon rubber heater is manufactured in a multi-heating method, the multi-intensive heating technology can be ideally applied to all heating processes.