• Journal of The Korean Association of Information Education
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• v.21 no.4
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• pp.463-474
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• 2017

Software integration becomes very important in these days. Since the 4th industrial revolution has begun and influences its heavy effects on our daily life, software education has been introduced in the 2015 national revised curriculum. The purpose of this study is to verify the effects of a mobile web application for the elementary algorithm class based on STEAM on the problem solving process of elementary school students. To do so, in this study we constructed an algorithm learning contents based on STEAM for new software education and developed a mobile web application for flipped learning to improve their problem solving ability. Further, an experimental group and a controlled group are selected respectively from the 5th grade elementary school students. Then, a new flipped learning class using our mobile materials was applied to the experimental group while a traditional lecture class using the activity papers was applied to the controlled group. Finally the paired samples t-tests were carried out. As a result, we found that there was a statistically significant difference in problem solving process between the two groups. Based on our experimental research and the results of statistical analysis, the mobile web application class based on STEAM turned out to be effective in improving the problem solving ability of elementary school students.

• Journal of the Korean Applied Science and Technology
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• v.36 no.4
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• pp.1181-1187
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• 2019

Today's sports, by themselves, express a wide variety of phenomena and reproduce or imply complex social symbols. The definition of sports being transformed in combination with ideology, which has become a central issue in each era, has become more diverse in recent years. Recently, with the 4th Industrial Revolution leading the social phenomenon, sports culture is producing a new phenomenon. In this era, we need the study in the question of how to understand and interpret sports culture is the right approach. The struggle for survival in each discipline was expressed as a reinterpretation of sports culture. This is to answer questions about how sports culture is consumed, spread and reinterpreted. The purpose of this study is to find out the direction and directing point of sports culture. Based on such problem recognition, five types of answers to what sports culture consumes were presented. Based on this, the fairness related to school sports, sports society-club(sports clubs), sports events, sports media, and sports was suggested as a medium for the spread of sports culture. We are accepting and transforming numerous scientific civilizations to improve sports culture and to promote consumers. However, there is a pity not to define such a thing. Efforts at a more fundamental level, such as cultural regulation and fundamental directions, need to be discussed. The framework of reinterpretation of sports culture should be constantly looking for directions and answers about what to do, not just the level of interpretation.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.3
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• pp.99-106
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• 2019

Technology that cannot be excluded from 4th industry is self-driving sector. The self-driving sector can be seen as a key set of technologies in the fourth industry, especially in the DB sector is getting more and more popular as a business. The DB, which was previously produced and managed in two dimensions, is now evolving into three dimensions. Among the data obtained by Mobile Mapping System () to produce the HD MAP necessary for self-driving, Point Cloud, which is LiDAR data, is used as a DB because it contains accurate location information. However, at present, it is not widely used as a base data for 3D modeling in addition to HD MAP production. In this study, MMS Point Cloud was used to extract facilities around the road and to overlay the location to expand the usability of Point Cloud. Building utility poles and communication poles DB from Point Cloud and comparing road name address base and location, it is believed that the accuracy of the location of the facility DB extracted from Point Cloud is also higher than the basic road name address of the road, It is necessary to study the expansion of the facility field sufficiently.

• The Journal of Society for e-Business Studies
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• v.24 no.4
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• pp.31-48
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• 2019

To survive in the trend of the fourth industrial revolution, companies are putting a lot of attention and effort into personalization services using the latest technologies such as big data, artificial intelligence and the Internet of Things, while entrusting third parties to handle personal information on the grounds of work efficiency, expertise and cost reduction. In such an environment, consignors need to check trustees on a more effective and reasonable basis to ensure personal information safety for trustees. This study used AHP techniques to derive the importance and priority of each item of "Personal Information Safety Assurance Measures" for financial companies and trustees, and objectively compared and analyzed differences in perceptions of importance between financial institutions and trustees. Based on this, the company recognizes the difference between self-inspection of financial institutions and inspection of trustees and presents policy grounds and implications for applying differentiated inspection standards that reflect the weights appropriate for the purpose.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.4
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• pp.523-529
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• 2021

In the era of the Fourth Industrial Revolution, technological changes are being applied in various fields. Automation digitization and data management are also in the field of bills. There are more than tens of thousands of forms of bills circulating in society and bill recognition is essential for automation, digitization and data management. Currently in order to manage various bills, OCR technology is used for character recognition. In this time, we can increase the accuracy, when firstly recognize the form of the bill and secondly recognize bills. In this paper, a logo that can be used as an index to classify the form of the bill was recognized as an object. At this time, since the size of the logo is smaller than that of the entire bill, FPN was used for Small Object Detection among deep learning technologies. As a result, it was possible to reduce resource waste and increase the accuracy of OCR recognition through the proposed algorithm.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.4
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• pp.474-480
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• 2020

With the advent of the Fourth Industrial Revolution, many new technologies are being utilized. In particular, video signals are used in various fields. However, when transmitting and receiving video signals, salt and pepper noise and additive white Gaussian noise (AWGN) occur for multiple reasons. Failure to remove such noise when performing image processing can cause problems. Generally, filters such as CWMF, MF, and AMF remove noise. However, these filters perform somewhat poorly in the high-density noise domain and cause smoothing, resulting in slightly lower retention of the edge components. In this paper, we propose an algorithm by effectively eliminating salt and pepper noise using a modified weight filter using standard deviation. In order to prove the noise reduction performance of the proposed algorithm, we compared it with the existing algorithm using PSNR and magnified images.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.6
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• pp.223-234
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• 2021

Recent advances in the 4th Industrial Revolution have accelerated the change of the shopping behavior from offline to online. Search queries show customers' information needs most intensively in online shopping. However, there are not many search query research in the field of search, and most of the prior research in the field of search query research has been studied on a limited topic and data-based basis based on researchers' qualitative judgment. To this end, this study defines the type of search query with data-based quantitative methodology by applying machine learning to search research query field to define the 15 topics of search query by conducting topic modeling based on search query and clicked document information. Furthermore, we present a new classification system of new search query types representing searching behavior characteristics by extracting key variables through principal component analysis and analyzing. The results of this study are expected to contribute to the establishment of effective search services and the development of search systems.

• Journal of Cadastre & Land InformatiX
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• v.51 no.1
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• pp.111-124
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• 2021

Recently, Interest in the restoration and 3D reconstruction of cultural properties due to the fire of Notre Dame Cathedral on April 15, 2019 has been focused once again after the 2008 Sungnyemun fire incident in South Korea. In particular, research to restore and reconstruct the actual measurement of cultural properties using LiDAR(Light Detection and ranging) and conventional surveying, which were previously used, using various 3D reconstruction technologies, is being actively conducted. This study acquires data using unmanned aerial imagery of UAV(Unmanned Aerial Vehicle), which has recently established itself as a core technology in the era of the 4th industrial revolution, and the existing CRP(Closed Range Photogrammetry) and terrestrial LiDAR scanning for the Recumbent Buddha of Unju Temple. Then, the 3D reconstruction was performed with three fusion models based on SfM(Structure-from-Motion), and the reproducibility and accuracy of the models were compared and analyzed. In addition, using the best fusion model among the three models, the relationship with the Polar Star(Polaris) was confirmed based on the real world coordinates of the Recumbent Buddha, which contains the astronomical history of Buddhism in the early 11th century Goryeo Dynasty. Through this study, not only the simple external 3D reconstruction of cultural properties, but also the method of reconstructing the historical evidence according to the type and shape of the cultural properties was sought by confirming the historical evidence of the cultural properties in terms of spatial information.

• Journal of Korea Entertainment Industry Association
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• v.15 no.2
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• pp.21-34
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• 2021

One of the important issues in finance literature is how the capital structure influences firm performance. This paper aims to investigate this relationship by focusing specifically on the entertainment industry. Taking into account the growing importance of research and development (R&D) activities in the industrial revolution 4.0 era, an additional goal of this paper is to examine how the R&D intensity moderates the relationship between the capital structure and firm performance, particularly in the entertainment industry. We find that the relationship between the capital structure measured by debt ratio and the firm performance in the entertainment industry shows distinctive features from those obtained from entire industries. While the negative influence of the increase of debt ratio is strong and consistent with various proxies when using a sample with entire industries, we cannot find this distinctive influence among entertainment enterprises. The moderating effect of R&D investments on the negative influence of debt ratio on the firm value, observed in the sample with entire industries, is not found in the sample composed of entertainment companies. These findings suggest that the influence of the debt level on firm performance and the role of R&D investments in this relationship in the entertainment industry are perceived and evaluated differently by financial market participants.

• Journal of Appropriate Technology
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• v.6 no.2
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• pp.126-135
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• 2020

Recently, with the development of the 4th Industrial Revolution era and the popularization of technologies the maker movement is spreading worldwide in various ways for education, entrepreneurship, and solving social problems. This paper introduces a case of establishing and operating a maker space in Tanzania, East Africa, one of the developing countries. iTEC Tech-shop was established in the first half of 2018 at the Nelson Mandela African Institution of Science and Technology (NM-AIST) in Arusha, Tanzania by Innovative Technology and Energy Center (iTEC), and has been operating for nearly two years. With the allocation of empty warehouse space from NM-AIST, physical facilities were established through the purchase and installation of equipment and hand tools. Based on the advice from Idea Factory of Seoul National University and Fab-Lab Seoul, iTEC Tech-shop operational system were established. Through a total of 7 technical workshops, iTEC Tech-shop provided training courses for about 180 local personnel. In addition, the smart Techshop test-bed project was promoted in order to improve the operation level along with securing sustainability of the Techshop. The case of the iTEC Tech-shop could be a useful case for institutions or organizations promoting the maker movement to developing countries.