• 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.11
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• pp.1528-1533
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• 2020

Recently, indoor location recognition technology using Wi-Fi fingerprints has been applied and operated in various industrial fields and public services. Along with the interest in machine learning technology, location recognition technology based on machine learning using wireless signal data around a terminal is rapidly developing. At this time, in the process of collecting radio signal data required for machine learning, the accuracy of location recognition is lowered due to distorted or unsuitable data for learning. In addition, when location recognition is performed based on data collected at a specific location, a problem occurs in location recognition at surrounding locations that are not included in the learning. In this paper, we propose a learning data preprocessing technique to obtain an improved position recognition result through the preprocessing of the collected learning data.

• Journal of The Korean Association of Information Education
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• v.25 no.2
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• pp.265-277
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• 2021

With the development of technology, the concept of digital literacy is expanding from the focus of function and tool utilization to the extent of communication and participation in social and cultural contexts. In particular, learners' digital literacy capabilities are more important and necessary in remote learning environments such as Corona19. In this study, we studied how to improve digital literacy education through analysis and inspection of digital literacy shown in elementary school textbooks. To this end, we analyze it through compliance consisting of 8 fundamental pieces of knowledge, 20 sub technical skills, and 10 keys of competencies that constitute digital literacy. As a result of the study, the contents of digital literacy education in elementary school textbooks were presented centered on functions and tools, and as they were biased in certain areas, they were found to be lacking in systematicity and connectivity. Therefore, it proposed the composition of the curriculum system of digital literacy through the independence of elementary informatics curriculum, the specific composition of curriculum, and the strengthening of pre-service teachers' practical skills.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.1
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• pp.70-75
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• 2022

Accurately measuring location is necessary to provide a variety of services. The data for indoor positioning measures the RSSI values from the WiFi device through an application of a smartphone. The measured data becomes the raw data of machine learning. The feature data is the measured RSSI value, and the label is the name of the space for the measured position. For this purpose, the machine learning technique is to study a technique that predicts the exact location only with the WiFi signal by applying an efficient technique to classification. Ensemble is a technique for obtaining more accurate predictions through various models than one model, including backing and boosting. Among them, Boosting is a technique for adjusting the weight of a model through a modeling result based on sampled data, and there are various algorithms. This study uses Xgboost among the above techniques and evaluates performance with other ensemble techniques.

• Korean Association of Arts Management
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• no.60
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• pp.37-68
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• 2021

The purpose of this study is to understand the attractiveness of the vinyl record industry and derive implications by analyzing the structure of the industry. A few previous studies pay attention to the rapidly increasing demand for vinyl records, especially from a consumer point of view, and unlike the analysis of the consumption and vinyl record industry, this study focuses on the subjects of production and distribution of vinyl records. This paper collects data through in-depth interviews with experts in the vinyl record industry and various secondary data, which is analyzed by Porter(1980/2008)'s Five Forces Model. According to the analysis, the attractiveness of the vinyl record industry is positive in terms of the appropriate competitive strength in the industry and weak bargaining power of buyers, but negative in terms of the strong bargaining power of new entrants and substitutes. The outcome of this research has significance as basic data implying that companies that are trying to enter the vinyl record industry need to make strategic decisions.

• Journal of Korea Entertainment Industry Association
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• v.14 no.4
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• pp.145-153
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• 2020

In the rapidly changing era of the fourth industry, big data is being used in various fields. In recent years, the use of big data has been rapidly applied to overall cultural and artistic contents, and among them, the use of big data is essential as a film genre with a lot of capital. This research method is analyzed as the film , which won the Palme d'Or Prize of the 72nd Cannes Film Festival in 2019 and the works and directors' award at the Academy Awards. The analyzed value predicts the film's performance through opinion mining, which gives the value of the change and sensitivity of each data cycle, and extracts the utilization index and topic keywords of SNS such as Facebook and Twitter to reflect the audience's interest. Identify the factors. As such, if model performance and model development can be predicted through model analysis of film performance using big data, the efficiency of the film production process will be maximized while the risk of production cost and the risk of film failure will be minimized.

• Journal of the International Relations & Interdisciplinary Education
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• v.2 no.1
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• pp.43-55
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• 2022

Through literary research, this study aims to study chinese characters in the Chosun Dynasty from the perspective of international exchange. While sorting out the historical materials, it investigates the implementation organ, educational content and main characteristics of Chinese education in the Chosun Dynasty, its influence on the Korean peninsula at that time and Its enlightenment to today's Chinese international education. The results show that the Chinese language education institutions in the Chosun Dynasty mainly played the role of Chinese language education in the Si service academy and the Sheng Wen Academy. The contents of Chinese language education mainly include the development of oral Chinese teaching materials, the publication of rhymes and other reference books, the compilation of dictionaries and the training of Chinese translators. Through the in-depth study of Chinese rhymes, the Korean Peninsula created its own Korean national character in 1443, getting rid of the will of Chinese characters. The invention of Korean language has greatly encouraged the political, economic and cultural development of the Korean peninsula. In addition, the Chinese language education in the Chosun Dynasty provides a good experience for today's Chinese international education in China.

• The Research Journal of the Costume Culture
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• v.31 no.4
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• pp.411-429
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• 2023

Modernism is an internationally accepted design style. In addition, traditional Korean costume is not the clothing of the past, but its form is also used in modern fashion. Therefore, the purpose of this study is to examine the social and cultural contents of the morphological structure of traditional Korean costume, in order to derive the design characteristics of modernism and examine the global applicability of traditional Korean costume structure. For this study, photographic materials from museums, schematic drawings of relics, and Hanbok production books published by government agencies were analyzed. Further, this study examined traditional Korean costume, especially the modernism characteristics derived from Paul Greenhalgh and previous studies. The results are as follows. First, The traditional Korean costume is a cut based on basic shapes, along with a silhouette appears according to the background of the times. Second, the characteristics of modernism can be divided into universality, functionality, and simplicity. Third, as a result of analyzing the form structure of traditional Korean costume based on the characteristics of modernism, universality is expressed as standardized form, functionality as practical aesthetics, and simplicity as sustainable diversity. Furthermore, Korean costume has a difference in that was greatly influenced by various Eastern ideas and aesthetics of the late Joseon Dynasty. These findings provide a perspective of modern reinterpretation of the uniqueness and universality of traditional Korean costume in line with globalization by utilizing the design characteristics of modernism, an international style.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.5 no.4
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• pp.63-70
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• 2015

There is an increasing trend to alcoholics patients due to social factors of the aftereffect of the recession in Korea. Accordingly, study of the impact on society as well as alcoholism impact on individuals is becoming active. To solve the problem of addiction, we needed an integrated management system because the evils of alcoholism and addiction caused by a variety of social, economic and cultural factors. However, alcoholism research investment is less than the health problems like drugs, gambling, internet and we also did not provide proper treatment services for alcohol addiction. In this study, we will develop a customized smart phone application then the patient can acts for the individual circumstances by providing the aggregated information relates to treatment.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.301-302
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• 2021

After the Korona 19, "social distancing" was implemented, existing "pop culture" or entertainment programs were unable to communicate in both directions and declined. Since then, "Untact content" has shown its potential to grow due to untouch performances such as BTS' "Bangbangcon" and the rapid growth of Netflix, a global OTT (online video service). In addition, most of the global and Untact content is online and digital, which means a huge amount of big data will be poured out. Therefore, analyzing the big data poured out during the distribution of untact content will help us identify consumers' needs, and the growth expectations will also be high. Therefore, we would like to explore the research cases that have been conducted in existing studies regarding the subject of the study and analyze how big data can affect the distribution of content in the Untact era.