• Environmental and Resource Economics Review
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• v.30 no.2
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• pp.237-268
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• 2021

As variable renewable sources rapidly increase due to the Energy Transition plan, integration cost of renewable sources to the power system is rising sharply. The increase in variable renewable energy reduces the capacity factor of existing traditional power capacity, and this undermines the efficiency of the overall power supply, and demand resources are drawing attention as a solution. In this study, we analyzed how much electric vehicle demand resouces, which has great potential among other demand resources, can reduce power supply costs if it is used as a flexible resource for renewable generation. As a methodology, a stochastic form of power system optimization model that can effectively reflect the volatile characteristics of renewable generation is used to analyze the cost induced by renewable energy and the benefits offered by electric vehicle demand resources. The result shows that virtual power plant-based direct control method has higher benefits than the time-of-use tariff, and the higher the proportion of renewable energy is in the power system, the higher the benefits of electric vehicle demand resources are. The net benefit after considering commission fee for aggregators and battery wear-and-tear costs was estimated as 67% to 85% of monthly average fuel cost under virtual power plant with V2G capability, and this shows that a sufficient incentive for market participation can be offered when a rate system is applied in which these net benefits of demand resources are effectively distributed to consumers.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.779-790
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• 2021

Film literacy comprises the process of producing a new creation through understanding the elements that make up a film, the content of a film, and a critical and creative thinking process. Film literacy is employed in fields such as composition, science, social studies, and geography, and, additionally, it is used to cultivate humanities literacy and critical thinking skills. Yet despite the large proportion of the film script in the movie, it is not easy to find literacy education cases that use film English as a teaching method. Film English is a practical and authentic material, and is suitable as an English learning material in an EFL context like Korea. However, the approach of using films to teach and learn differs according to the content and genre of a film. Thus, the teacher may have a difficult time organizing and preparing for class. This study suggests six class activities that can be commonly applied to English classes using films based on the areas of critical, cultural, and creative (3Cs) activities. Four hundred and five college students taking Movie English classes participated in the present study and frequency analysis was conducted to find out their preferences through a questionnaire survey. The results from conducting class activities in university liberal arts classes suggest that the most preferred activities of students are related to cultural, critical, and creative, in that order. Creative activities that are far beyond English instruction utilizing various digital tools or providing additional reading materials can be a burden on learners.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.3
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• pp.183-191
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• 2021

Non-intrusive load monitoring is a technology that can be used for predicting and classifying the type of appliances through real-time monitoring of user power consumption, and it has recently got interested as a means of energy-saving. In this paper, we propose a system for classifying appliances from user consumption data by combining GAF(Gramian angular field) technique that can be used for converting one-dimensional data to the two-dimensional matrix with convolutional neural networks. We use REDD(residential energy disaggregation dataset) that is the public appliances power data and confirm the classification accuracy of the GASF(Gramian angular summation field) and GADF(Gramian angular difference field). Simulation results show that both models showed 94% accuracy on appliances with binary-state(on/off) and that GASF showed 93.5% accuracy that is 3% higher than GADF on appliances with multi-state. In later studies, we plan to increase the dataset and optimize the model to improve accuracy and speed.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.1
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• pp.295-314
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• 2021

The purpose of this study is to find out the factors that affect the 'public librarian servant's' Collective Self-Esteem (CSE) in Korean relation-oriented collectivism. The research was organized into a research model by setting up a hypothesis on the impact relationship the between the group Collective self-esteem, the work environment factors and cognition of Superior institution of the Public librarian servant. The relevant data collection was conducted for public librarian servant working in public libraries nationwide through the method of survey. From April 3, 2020 to May 14, 2020, it was conducted for Public Librarian Servant in public libraries nationwide with Civil Service System, Office of Education, Ministry of Culture·Sports and Tourism based on responses for 301 Public Librarian Servant from 559 institution. According to the analysis, the cognition of the superior institution of Public Librarian Servant influences the cognition of Collective Self-Esteem among the sub-factors of Collective - Self - Esteem of Collective Self-Esteem. This study is meaningful in that 'Public Librarian Servant' who was treated as an individual entity in the study of Library and Information Science study, as being has relationship with various groups and is dealt with multi-dimensionally in Korean relation-oriented collectivism culture. Research suggests that when Public Librarian Servant exist as one of the subordinate organizations to vast Civil service system, it suggest that Public Librarian Servants should find out a balance for improve their relatively low social values.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.4
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• pp.125-132
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• 2021

As the layers of artificial neural network deepens, and the dimension of data used as an input increases, there is a problem of high arithmetic operation requiring a lot of arithmetic operation at a high speed in the learning and recognition of the neural network (NN). Thus, this study proposes a data dimensionality reduction method to reduce the dimension of the input data in the NN. The proposed Line-segment Feature Analysis (LFA) algorithm applies a gradient-based edge detection algorithm using median filters to analyze the line-segment features of the objects existing in an image. Concerning the extracted edge image, the eigenvalues corresponding to eight kinds of line-segment are calculated, using 3×3 or 5×5-sized detection filters consisting of the coefficient values, including [0, 1, 2, 4, 8, 16, 32, 64, and 128]. Two one-dimensional 256-sized data are produced, accumulating the same response values from the eigenvalue calculated with each detection filter, and the two data elements are added up. Two LFA256 data are merged to produce 512-sized LAF512 data. For the performance evaluation of the proposed LFA algorithm to reduce the data dimension for the recognition of handwritten numbers, as a result of a comparative experiment, using the PCA technique and AlexNet model, LFA256 and LFA512 showed a recognition performance respectively of 98.7% and 99%.

• Journal of Life Science
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• v.31 no.8
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• pp.761-770
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• 2021

In this study, the optimal medium composition for enhancing protease production was established by the Bacillus strain isolated from Makgeolli, a traditional fermented food, using the response surface methodology. B. amyloliquefaciens SRCM115785 was selected as the protease producer by productivity analysis and identified by 16S rRNA gene sequencing. Plackett-Burman design (PBD) was introduced to analyze the effect of each component on protease production among the 11 selected medium components. As a result, glucose, yeast extract, and beef extract were finally selected as factors for enhancing protease production. Central composite design (CCD) analysis was designed as a method to determine the optimal concentration of each component for protease production and the concentration of each medium composition for maximum protease production was predicted to glucose 6.75 g/l, yeast extract 12.42 g/l and beef extract 17.48 g/l. The suitability of the experimental model was proved using ANOVA analysis and as a result of quantitative analysis to prove this, the amount of increase was 230.47% compared to the LB medium used as a control. Through this study, the optimization of medium composition for enhancing protease production was established, and based on this, it is expected that it can be efficient use of protease as an industrial enzyme.

• Journal of Technology Innovation
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• v.29 no.1
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• pp.1-38
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• 2021

In this paper, an exploratory analysis study was conducted on establishing a strategy to utilize living labs to enhance the innovation of the energy sector. Through the previous research literature, it was possible to confirm the concept, essential components, innovation characteristics of living labs, and types of innovation issues in the energy sector as the theoretical background. Based on this, the case studies of energy living lab (8 overseas, 1 domestic) were analyzed focusing on the possibility of utilizing living lab as an approach to innovation issues in the energy sector, establishing a customized strategy for essential components of living lab and enhancing innovation. It was confirmed that the establishment of a customized strategy for the essential components of the living lab could be a driving force in enhancing innovation, and the Living Lab is effectively used as an approach method for innovation issues(demand management, supply technology, enhance R&D acceptance and promote commercialization, technology policies) in the energy sector. As a result of the case studies, the driving force of each living lab was derived from the viewpoint of contributing to innovation, and strategies for using the living labs for each energy innovation problem were established. This study is an exploratory and descriptive analytical study of the utilization strategy and value of the living lab model as an approach to innovation issues in the energy field, which can provide a living lab strategy framework that has not been tried in the past and enables living lab activation and network formation. It can also be considered to have academic, practical, and policy implications in that it can also contribute.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.765-775
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• 2021

The purpose of this study is to investigate factors that affect the suicidal ideation of the people with mental disabilities. To this end, the independent variables were analyzed by categorizing them into individual psychological factors, social factors, and demographic characteristics. The analysis data include 969 people with mental disabilities who participated in the 2017 Ministry of Health and Welfare's Research, 'Survey on the Current Status of Mental Disabilities in Community'. The analysis method was frequency analysis, descriptive statistics, and hierarchical multiple regression analysis with SPSS 23.0. As a result of the study, in terms of individual psychological factors, the higher the depression and the lower the mental health confidence, the more suicidal ideation increase. In terms of social factors, the more unregistered disabled groups, the more exposure to violence and discrimination, and the more they live in large cities, the higher their ideation of suicidal. The regression model explained 26.9% of suicidal ideation. The practical and policy implications for the prevention of suicide of the people with mental disabilities based on these results are as follows: First, social factors should be evaluated and considered together, rather than focusing only on individual psychological factors, in seeking policies and intervention programs that reduce suicidal ideation in the people with mental disabilities. Second, in seeking suicide prevention policies for the people with mental disabilities, Protection & Advocacy services should be provided to reduce violence and discrimination experiences. Third, in order to reduce the suicidal ideation of the people with mental disabilities, the mental disability registration system should be reorganized, and policy alternatives should be devised so that those experiencing mental distress can be included into the system.

• Journal of Industrial Convergence
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• v.19 no.4
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• pp.95-102
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• 2021

This study aims to verify the effect of mother's career-related behavior on the intention of multicultural youths to school dropout intention and the mediating effect of academic adaptation. To this end, 1,121 middle school seniors were sampled in the 7th (2017) data of the Multicultural Youth Panel Survey, and the influence relationship of the model presented as a three-step method of analysis of the mediated effects of Baron & Kenny and the Sobel test were conducted. First, the analysis showed that mother's support, a subfactor of mother's career-related behavior, had a negative effect on dropout intention, and that mother's interference had a positive effect. Second, academi adaptation has been shown to have a negative effect on dropout intention. Third, mother's support, a subfactor of mother's career-related behavior, showed a positive influence on academi adaptation, and mother's interference showed a negative effect. Fourth, academi adaptation has been shown to be mediated in the relationship between career-related behavior and dropout intention. Based on the above results, practical implications were presented.

• Land and Housing Review
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• v.13 no.1
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• pp.11-22
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• 2022

This paper estimates the demand of newly married couples for public rental housing in Chungnam. This research attempts to overcome data limitations by linking survey data with administrative data for analysis. First, the results of a binary logit model that analyzes newly married couples' intention to move into public rental housing, based on the Chungnam Social Survey 2019, reveal that residential location, educational level, housing type, and tenure type have a statistically significant effect. By combining the estimated coefficients with another dataset, the statistics of newly married couples for administration purposes acquired from Statistics Korea, this research estimates the demand for public rental housing among the newly married couples in Chungnam. The estimation results show that the total demand for public rental housing in Chungnam is 11,424 units among 43,705 newly married couples. The total demand of 21,685 newly married couples who occupy rental housing is estimated to be 9,436 units. The policy for providing public rental housing to newly married couples in Chungnam aims to increase their fertility rates. Hence, further research should be followed up to evaluate the effect of the supply of public rental housing on fertility rates. Also, a research method should be developed to control for possible endogeneity between the demand for public rental housing and childbirths.