• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.639-652
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• 2021

In accordance with the rapidly changing social environment, it is becoming more important to cultivate creative and convergent practical talents with flexible thinking skills and problem-solving skills. Therefore, it is necessary for universities to provide educational experiences that enable students to cooperate and converge multidisciplinaryly to carry out on-the-job projects based on what they have learned at school. Therefore, this study designed, developed, and operated with the aim of cultivating creative talents with integrated problem-solving ability through a multidisciplinary capstone design curriculum based on industry-academia cooperation. To this end, the curriculum was developed together by recruiting participating companies and forming a convergence professor team, and it was operated for 15 weeks for students majoring in cosmetics engineering at D University. After the education was over, learning satisfaction and perceived academic achievement were surveyed, and as a result of the analysis, it was found to be above average with 3.77 points and 3.86 points, respectively. And as a result of the in-depth interview on the participation experience, five themes related to the positive experience and three themes related to the negative experience were derived. This study will be able to provide basic data when operating a multidisciplinary convergence capstone design curriculum based on industry-academia cooperation in the future.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.133-141
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• 2021

Governments of each country are actively implementing fiscal expansion policies to recover the real economy after Corona 19. In Korea, the stock market and housing market are greatly affected as liquidity in the market increases due to the implementation of disaster subsidies and welfare policies. The purpose of this study is to analyze the relationship between stock market and housing market trends and liquidity. Data were collected by the Bank of Korea and Kookmin Bank. The analysis period is from January 2000 to December 2020, and monthly data are used. For empirical analysis, the rate of change from the same month of the previous year was calculated for each variable, and numerical analysis, index analysis, and model analysis were performed. As a result of the analysis, it was found that the stock index showed a positive(+) relationship with the house price, while a negative(-) relationship with M2. Previous studies have suggested that, in general, an increase in liquidity affects the stock market and the housing market, and inflation also rises. In this study, it was found that the stock market and the housing market had an effect on each other. However, it was investigated that liquidity showed an inverse relationship with the stock market and had no relationship with the housing market. Through this, this study estimated that there is a time difference in the relationship between liquidity and the stock market & housing market.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.588-597
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• 2021

In Korea, the standard for calculating the profit of a general insurance, which constitutes the loading in the premium, is not specified, and most of the non-life insurance companies reflect 2~5% of the premium as profit margin. Although the transparency of pricing is required due to the nature of insurance products, there are insufficient standards and empirical studies on the determination of insurance price factors in the domestic insurance industry. In this study, we propose a method of calculating the expected profit margin of general insurance. A way for calculating the expected profit margin of the general insurance is to reflect the shareholder demand on the capital that the insurance company should secure against the risk of loss due to the profit/loss volatility, as a ratio to the insurance premium. Shareholders should be compensated for the risks associated with their insurance operations, and the opportunity cost of these shareholders is to be reflected in premiums. In this study, we calculate the amount of capital that the company should accumulate to prepare insurance risk for each product, and insurance risk is defined as the volatility of insurance operating profit/loss. And insurance risk is calculated using stochastic simulation based on Dynamic Financial Analysis (DFA) methodology. Finally, we calculate the expected profit margins for 25 products and analyzed the difference between those and the profit ratio of domestic general insurance.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.3
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• pp.123-128
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• 2021

For accurate speed and current control in industrial applications, SRM (Switched Reluctance Motor) is very important to synchronize the stator phase excitation and rotor position in the drive due to its nature. In general, position sensors such as encoder and resolver are used to generate rotational force by exciting the stator winding according to the rotor position and to control the motor by using speed and position information. However, for these sensors, 1) the cost of the sensors is quite large in terms of price, so the proportion of the motor system to the total system cost is high. 2) In terms of mechanical, position sensors such as encoders and resolvers are attached to the stator to increase the size and weight. In conclusion, in order to drive the SRM, control based on the rotor position information should be basically performed, and it is important to design the SRM driving system according to the environment in consideration of the application field. Therefore, in this paper, we intend to study the driving and control characteristics of SRM through variable switching duty control by designing a low-cost analog driving device, deviating from the general control system using the conventional encoder and resolver.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.3
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• pp.43-58
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• 2021

This study analyzes the entrepreneurship policies of the previous Korean administrations from the perspective of the Policy Paradigm by Hall(1993). A total of 195 newspaper articles and 202 government documents were examined to identify policy paradigm shifts through an analysis of policy objectives, policy instruments, and changing quality of policy instruments by each administration. The first paradigm was built during the 5th and 6th Republic, where 'Support for Small and Medium Enterprise Establishment Act' was enacted in 1986 to promote and support start-ups in the manufacturing sector. Next is the so-called 'people's government' period where 'Act on Special Measures for the Promotion of Venture Businesses' was enacted to tackle the challenges posed during the 1997 Asian financial crisis. A new policy goal was set to promote and nurture venture companies seeking subsequent means to achieve it. The third paradigm shift took place during President Moon's administration in order to effectively respond to the issues stemming from the fourth industrial revolution and the COVID-19 pandemic. Through the overall revision of the 'Support for Small and Medium Enterprise Establishment Act', the scope of startups were expanded, new industries and technology startups were supported and promoted, and venture investment-related laws were streamlined. In addition, the Small and Medium Business Administration was promoted as the Ministry of SMEs and Startups, enabling them to take initiative in implementing startup policies. Particularly, this study focuses on examining the low survival rate of startup companies and the revitalization of private investment as rising policy issues for recent startups, and suggests the improvement direction due to startup policy paradigm shift.

• Journal of The Korean Association of Information Education
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• v.24 no.5
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• pp.483-494
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• 2020

With the advent of the 4th Industrial Revolution, interest in AI education is increasing. In order to cultivate talented people with AI competencies who will lead the future, AI education must be conducted in a sound manner at the school site. Although AI education is being conducted at home and abroad, it was determined that the role of the AI education platform is important to implement better AI education, so this study investigated the perception of experts on the AI education platform. A perception survey was conducted based on five criteria: teaching and learning management, educational contents, accessibility, performance of AI education platform, and level suitability of elementary school students. As a results, the number of 103 educational experts selected 'Entry' as the most proper platform among the eight platforms - 'Machine learning for Kids', 'Teachable Machine', 'AI Oceans(code.org)', 'Entry', 'Genie Block', 'Elice', 'mBlock' and etc. Analysis shows that this is because 'Entry' provides quality educational content, has convenient accessibility, is easy to manage teaching and learning, as well as an AI education platform suitable for the level of elementary school. In order to apply various AI education platforms to the school field, it is necessary to train teachers in AI-related training to train them as AI education experts, and to continuously provide opportunities to experience AI education platforms. In this study, there are limitations to what is called 'a population perception survey'. because only 103 people were surveyed, and most of the experts are working in a specific area(Gyeonggi-do). In the future, it is judged that research targeting experts at the national level should be conducted to supplement these limitations.

• Journal of Korean Tunnelling and Underground Space Association
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• v.23 no.1
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• pp.13-24
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• 2021

Tunnel boring machine (TBM) is widely used for tunnel excavation in hard rock and soft ground. In the perspective of TBM-based tunneling, one of the main challenges is to drive the machine optimally according to varying geological conditions, which could significantly lead to saving highly expensive costs by reducing the total operation time. Generally, drilling investigations are conducted to survey the geological ground before the TBM tunneling. However, it is difficult to provide the precise ground information over the whole tunnel path to operators because it acquires insufficient samples around the path sparsely and irregularly. To overcome this issue, in this study, we proposed a geological type classification system using the TBM operating data recorded in a 5 s sampling rate. We first categorized the various geological conditions (here, we limit to granite) as three geological types (i.e., rock, soil, and mixed type). Then, we applied the preprocessing methods including outlier rejection, normalization, and extracting input features, etc. We adopted a deep neural network (DNN), which has 6 hidden layers, to classify the geological types based on TBM operating data. We evaluated the classification system using the 10-fold cross-validation. Average classification accuracy presents the 75.4% (here, the total number of data were 388,639 samples). Our experimental results still need to improve accuracy but show that geology information classification technique based on TBM operating data could be utilized in the real environment to complement the sparse ground information.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.4
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• pp.457-464
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• 2021

Cargo securing safety, which is one factor for the safe operation of car ferry ships, has been applied since 2015 and evaluated by comparing the hull motion and securing load capacity generated by waves. To ensure the safe operation of the 3700 ton class car ferry, it is important to analyze the hull acceleration motion based on the sea wave information of the navigation area to determine the cargo securing load that can prevent the movement of cargo. In this study, the meteorological information of three wave buoys installed in Busan and Jeju area was analyzed for the past 5 years. In addition, the hull acceleration was measured in actual sea conditions and compared to that of numerical simulations. Under the condition of a significant wave height of 2.5 m from Feb to Mar, except typhoon seasons, the lateral acceleration was observed to be 1.5 m/s² in real ship measuring and 1.8 m/s² in numerical calculation. It was analyzed to be less than 40% under general weather conditions compared to the high wave warning using an approximate formula for estimating the hull motion by wave height. The cargo securing safety proposed in this study will be widely used based on the actual measuring acceleration with the sea wave height.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.92-98
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• 2021

Modern society needs constantly the rationality and the efficiency, and this flow of the time has become the paradigm of the whole society. This paradigm has a large influence on the architectural design and industry. Modern technology represented by the development of digital instrument and Information Technology through internet has created and developed two big trend, Parametric Design and BIM(Building information Modeling) in the architectural design and industry. These technologies, though created for different reasons, have a lot of influence on the architectural design and industry for a common purpose such as efficiency and rationality across the boundaries. In this context, this research will be embodied through the example about how parametric design should be made in the beginning of pre-design phase for BIM application. This research aims to consider the design process of Walt Diseny Consert Hall, the work of Frank O. Ghery, a deconstructivism architect, and to embody the shape of National Nederlanden Building in Prague, the Czech Republic, using parametric design tool in pre-design phase. This research later aims to be used as the basic data that can be applied to the entire architectural industry from a planning and a detailed design to a construction for the ultimate BIM application beyond the range of parametric design in pre-design phase. Later, the plan using the parametric design algorithm and BIM application in construction document phase will be conducted.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.300-308
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• 2021

The epidemic of COVID19 caused a big change in design collaboration, which has been conducting using face-to-face interaction. Designers actively used video conferencing and online document tools in situations where face-to-face meetings were difficult, and this gave them an opportunity to experience that non-face-to-face collaboration can be more effective in a specific design process. In this regard, this study attempted to find out which activities during the design process are more compelling in face-to-face collaboration or non-face-to-face collaboration. To do this, three user experience design projects conducted after the COVID19 epidemic were analyzed through a retrospective interview method. As a result, during four design stages, 'Discover, Define, Develop, Deliver', face-to-face collaboration is necessary for the areas that require creative problem solving through active interaction. In contrast, non-face-to-face collaboration is preferred and more effective when designers need their own space and proceed their design work. In addition, the aspects of design tools supporting non-face-to-face collaboration were also illustrated. Findings discovered through this study are expected to contribute to research on the design process later.