• Journal of the Korean association of regional geographers
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• v.4 no.1
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• pp.57-76
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• 1998

Yanji(延吉) city is the district seat of the Yanbian(延邊) Korean Autonomous District where is located in the Jilin(吉林) Province in China, and also the largest city with a population of three hundred sixty thousand, Since the mid-1980s, the inter-exchange and cooperation between Yanbian District and South Korea has been increased rapidly. That draw many scholars' attention to studying Yanbian District and Korean Chinese as a research theme for area studies. Unfortunately they neglect the study of the commerce and service industry in Yanbian city, which has indicated its rapid growth by the market economic policy of China, and an inter-exchange between Korean Chinese and Korean. The purpose of this study is to provide an information to many Korean potential investors for an investment strategy of the commerce and service industry in Yanji city. In order to do so, this study consists of three major steps. First of all. we analyzed the regional structure and locational characteristics of the commerce and service industry in Yanji City. Secondly, we investigated the characteristics of consumers behavior toward purchasing goods and service facilities. Finally, we supplied the proper businesses and location information for investment to Korean firms according to the results that identified above. In conclusion, we suggest that the proper businesses to invest are department store, retail clothing store, shoes store, cosmetics store, electronics and home appliances store, oversea branch offices of trading companies, Korean-style restaurant, hotel, nightclubs, Korean-style music room(Noraebang), travel agencies, beauty parlors, video rooms, electronic games, and so on. We also suggest that the proper locational areas to invest those businesses are the core area of the commerce and service industry in Yanji, where are Xinxing(新興) 3-zone and Jinxue(進學) 2-zone expressed in the Yanji city figure.

• Journal of Fashion Business
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• v.19 no.2
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• pp.53-68
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• 2015

The Beijing Opera is one of the leading representatives of Chinese culture, which includes literature, music, dance, martial arts, and a type of performance that stems from the Chinese cultural history that is still relevant today. The purpose of this study is to develop fashion-cultural products from the Lian Pu of the Beijing Opera, a Chinese cultural tradition that receives abundant positive feedback from around the world, showing its value in both academic and practical fields. This study was carried out first as a theoretical study of the literature, definition and types of facial make up used in the Opera, as a way of examining the formative aspect. Secondly, an analysis was conducted on the main characters, 'Guan Yu' and 'Zhang Fei' of "The Romance of the Three Kingdoms", 'Li Kiu' and 'Lu Zhishen' of "All Men are Brothers" and 'Monkey King' of "Journey to West", employing the collection belonging to 'Yongqi Zhao' who is an expert on the Chinese Beijing Opera. Thirdly, two concepts were categorized, based on the analytic results of the abovementioned characters, each of which were then further categorized into three sub concepts. In regard to cultural development designs, the results of an analysis on the facial make-up color, form, and texture of the four main characters were utilized to construct the themes, "Modern Chic" and "Traditional Splendor". The simplest form that has been represented in the four figures has been applied to "Modern Chic" to show a modern image in which black, white and light blue has been used alongside the vivid red, which is a Chinese favorite, to highlight the characters. In "Traditional Splendor", which is focused on the stage art of the Opera, we see more artistic traditions and colors, to further appeal to our emotions. Traditional motifs have been applied using traditional Chinese arts, in order to develop strong and brilliant colors. The two styles of cultural products were developed in the form of women's scarves and men's ties; a total of 24 designs were expressed, using Illustrator CS6. In the final step, 4 scarves and 6 ties were produced as a sample, using high quality silk. The development of these cultural fashion products will bring an opportunity to show how Chinese traditional culture can be widely utilized in commercial market design.

• The Journal of Korean Society for School & Community Health Education
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• v.4
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• pp.97-115
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• 2003

Middle and high school girl students' menstruation characteristics, appearance of menstruation dysmenorrhea, and coping with the menstruation dysmenorrhea were examined in order to give information in instructing girl students about menstruation dysmenorrhea, in delivering health education in the school, and establishing health policy. 970 girl students in middle and high schools in Cheju-do were selected and surveyed using the questionnaire the author developed based on the previous studies. The findings are as follows. First, the age of first menstruation was average $12.9{\pm}1.22$ years. The younger they were, the earlier their first menstruation came. The most common menstrual cycle was such one that continuously irregular from the beginning or that regular and irregular cycle run together. The first irregular menstrual cycle changed regular one within 1 or 2 years. Most of the respondents had normal menstrual cycle of $21{\sim}35$ days and menstruation period of $3{\sim}8$ days. Second, symptom of menstruation dysmenorrhea was orderly; hurt in the underbelly, tired, hurt in the waist, and headache. It was higher with high school students than middle school students. For the most part, time of heavy menstruation dysmenorrhea was the 2nd day after menstruation starts and period of menstruation dysmenorrhea was 2 days. More than the half of the respondents felt that the present menstruation dysmenorrhea was similar with the first one and they felt not comport in daily life due to menstruation dysmenorrhea, and 'hard to live a normal life' was higher with the high school girl students than with the middle school students. Third, how to cope with menstruation dysmenorrhea was enough sleep, relax and rest, taking a hot water shower, listening to music or watching a movie, taking medicine, and doing excercise. Few of the respondents have ever visited a doctor due to menstruation dysmenorrhea, and the reason was mostly irregular menstruation and heavy dysmenorrhea. Forth, when they took medicine due to menstruation dysmenorrhea, they gathered information on the medicine from family members and friends, while extremely low from a pharmacist or a doctor. The most of them have ever took medicine during menstruation once and took standard dose. While excess dosage was higher with high school students than with middle school students. From these findings, a good many girls are experiencing menstruation dysmenorrhea since their first menstruation. To discover early the severely abnormal findings and to treat, more interest from home and school, counseling and sexual education on time, and expert's diagnosis are necessary. Rather than unconditionally taking pain-relievers which can plainly solve the pain, continuous health education at home and in the school should be carried on for the girls to practice proper measures one think effective or an expert recommends.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.16 no.5
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• pp.93-106
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• 2006

With the rapid growth of the wireless Internet communication, a new generation of mobile devices have made possible the broad distribution of mobile digital contents, such as image, music, video, games and applications over the wireless Internet. Mobile devices are rapidly becoming the major means to extend communication channels without copy Protection, usage rule controlling and authentication. As a result, mobile digital contents may be illegally altered, copied and distributed among unauthorized mobile devices. In this paper, we take a look at Open Mobile Alliance (OMA) DRM v2.0 in general, its purpose and function. The OMA is uniquely the focal point for development of an open standard for mobile DRM. Next we introduces features for an active content and illustrates the difference between an active content and an inactive content. Enabling fast rendering of an active content, we propose an OMA-based DRM framework. This framework include the following: 1) Extending DCF Header for supporting an selective encryption, 2) Content encryption key management, 3) Rendering API for an active content. Experimental results show that the proposed framework is able to render an active content fast enough to satisfy Quality of Experience. %is framework has been proposed for a mobile device environment, but it is also applicable to other devices, such as portable media players, set-top boxes, or personal computer.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.10
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• pp.409-418
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• 2022

In this paper, we propose SAAnnot-C3Pap, a semi-automatic annotation method for obtaining ground truth of a player's posture. In order to obtain ground truth about the two-dimensional joint position in the existing music domain, openpose, a two-dimensional posture estimation method, was used or manually labeled. However, automatic annotation methods such as the existing openpose have the disadvantages of showing inaccurate results even though they are fast. Therefore, this paper proposes SAAnnot-C3Pap, a semi-automated annotation method that is a compromise between the two. The proposed approach consists of three main steps: extracting postures using openpose, correcting the parts with errors among the extracted parts using supervisely, and then analyzing the results of openpose and supervisely. Perform the synchronization process. Through the proposed method, it was possible to correct the incorrect 2D joint position detection result that occurred in the openpose, solve the problem of detecting two or more people, and obtain the ground truth in the playing posture. In the experiment, we compare and analyze the results of the semi-automated annotation method openpose and the SAAnnot-C3Pap proposed in this paper. As a result of comparison, the proposed method showed improvement of posture information incorrectly collected through openpose.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.1
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• pp.1-9
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• 2024

This paper analyzes the trends in generative AI technology based on patent application documents. To achieve this, we selected 5,433 generative AI-related patents filed in South Korea, the United States, and Europe from 2003 to 2023, and analyzed the data by country, technology category, year, and applicant, presenting it visually to find insights and understand the flow of technology. The analysis shows that patents in the image category account for 36.9%, the largest share, with a continuous increase in filings, while filings in the text/document and music/speech categories have either decreased or remained stable since 2019. Although the company with the highest number of filings is a South Korean company, four out of the top five filers are U.S. companies, and all companies have filed the majority of their patents in the U.S., indicating that generative AI is growing and competing centered around the U.S. market. The findings of this paper are expected to be useful for future research and development in generative AI, as well as for formulating strategies for acquiring intellectual property.

• Information Systems Review
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• v.22 no.3
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• pp.143-156
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• 2020

Price promotion is one of the most frequently marketing strategies with a long history. According to various studies, the effect of price promotion is controversial. Some studies have argued that price promotion has a positive effect, while others have found that it has no effect or rather has a negative effect. This study aims to examine the effect of price promotion in a subscription-based service. First, we check the effect of price promotion on the repurchase of the consumer. And we investigate how this effect varies depending on the characteristics of the consumer. Using the data from one of the music streaming service in South Korea, the effect of consumers' price promotion experience, demographic characteristics, and behavioral characteristics on their repurchase is analyzed through logistic regression analysis. As a result of the study, it is found that consumers' experience of price promotion has a positive effect on repurchase. In addition, the positive effect of price promotion is relatively greater in younger and female consumers. This study has implications in that it not only confirmed the positive effect of price promotion in a subscription-based environment but also empirically confirmed that the characteristics of consumers should be considered when performing price promotion.

• Information Systems Review
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• v.25 no.2
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• pp.205-227
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• 2023

Recently, Virtual Human(VH) has begun to appear in various media, not only on social media, but also in advertisements, music sources, and dramas. Virtual human has become a primary marketing tool for companies, but there also exist concerns when the companies do not disclose the identities of virtual humans. Accordingly, it is necessary to examine users' responses toward content that features virtual humans. This study aimed to examine how the exposure of virtual humans in the content affects users' perceptions. Therefore, the study defined the concept of 'VH Disclosure(VHD)', referring to the exposure of the virtual human's identity, and explored the impact of VH disclosure on attitude toward the ad (Hedonism, Utilitarianism, and Interestingness) and source credibility (Trustworthiness and Expertise). The study conducted an experimental survey with 302 respondents. Regardless of when the ad featured a VH or a human, the results showed that there was no significant difference between users' attitudes and source credibility. The results revealed that it was more effective to disclose the VH in social media feeds than directly reveal the VH's identity in the content. Therefore, this study utilizes a new concept of 'VH Disclosure(VHD)' to enhance the understanding of VH and contributes to establishing marketing strategies optimized for consumers in the creation of virtual human-related content.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.35 no.6
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• pp.109-120
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• 2023

The High-Frequency Radar (HFR) is an equipment designed to measure real-time surface ocean currents in broad maritime areas.It emits radio waves at a specific frequency (HF) towards the sea surface and analyzes the backscattered waves to measure surface current vectors (Crombie, 1955; Barrick, 1972).The Seasonde HF Radar from Codar, utilized in this study, determines the speed and location of radial currents by analyzing the Bragg peak intensity of transmitted and received waves from an omnidirectional antenna and employing the Multiple Signal Classification (MUSIC) algorithm. The generated currents are initially considered ideal patterns without taking into account the characteristics of the observed electromagnetic wave propagation environment. To correct this, Antenna Pattern Measurement (APM) is performed, measuring the strength of signals at various positions received by the antenna and calculating the corrected measured vector to radial currents.The APM principle involves modifying the position and phase information of the currents based on the measured signal strength at each location. Typically, experiments are conducted by installing an antenna on a ship (Kim et al., 2022). However, using a ship introduces various environmental constraints, such as weather conditions and maritime situations. To reduce dependence on maritime conditions and enhance economic efficiency, this study explores the possibility of using unmanned aerial vehicles (drones) for APM. The research conducted APM experiments using a high-frequency radar installed at Dangsa Lighthouse in Dangsa-ri, Wando County, Jeollanam-do. The study compared and analyzed the results of APM experiments using ships and drones, utilizing the calculated radial currents and surface current fields obtained from each experiment.

• Journal of Intelligence and Information Systems
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• v.23 no.2
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• pp.19-38
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• 2017

Collaborative filtering (CF) algorithm has been popularly used for implementing recommender systems. Until now, there have been many prior studies to improve the accuracy of CF. Among them, some recent studies adopt 'hybrid recommendation approach', which enhances the performance of conventional CF by using additional information. In this research, we propose a new hybrid recommender system which fuses CF and the results from the social network analysis on trust and distrust relationship networks among users to enhance prediction accuracy. The proposed algorithm of our study is based on memory-based CF. But, when calculating the similarity between users in CF, our proposed algorithm considers not only the correlation of the users' numeric rating patterns, but also the users' in-degree centrality values derived from trust and distrust relationship networks. In specific, it is designed to amplify the similarity between a target user and his or her neighbor when the neighbor has higher in-degree centrality in the trust relationship network. Also, it attenuates the similarity between a target user and his or her neighbor when the neighbor has higher in-degree centrality in the distrust relationship network. Our proposed algorithm considers four (4) types of user relationships - direct trust, indirect trust, direct distrust, and indirect distrust - in total. And, it uses four adjusting coefficients, which adjusts the level of amplification / attenuation for in-degree centrality values derived from direct / indirect trust and distrust relationship networks. To determine optimal adjusting coefficients, genetic algorithms (GA) has been adopted. Under this background, we named our proposed algorithm as SNACF-GA (Social Network Analysis - based CF using GA). To validate the performance of the SNACF-GA, we used a real-world data set which is called 'Extended Epinions dataset' provided by 'trustlet.org'. It is the data set contains user responses (rating scores and reviews) after purchasing specific items (e.g. car, movie, music, book) as well as trust / distrust relationship information indicating whom to trust or distrust between users. The experimental system was basically developed using Microsoft Visual Basic for Applications (VBA), but we also used UCINET 6 for calculating the in-degree centrality of trust / distrust relationship networks. In addition, we used Palisade Software's Evolver, which is a commercial software implements genetic algorithm. To examine the effectiveness of our proposed system more precisely, we adopted two comparison models. The first comparison model is conventional CF. It only uses users' explicit numeric ratings when calculating the similarities between users. That is, it does not consider trust / distrust relationship between users at all. The second comparison model is SNACF (Social Network Analysis - based CF). SNACF differs from the proposed algorithm SNACF-GA in that it considers only direct trust / distrust relationships. It also does not use GA optimization. The performances of the proposed algorithm and comparison models were evaluated by using average MAE (mean absolute error). Experimental result showed that the optimal adjusting coefficients for direct trust, indirect trust, direct distrust, indirect distrust were 0, 1.4287, 1.5, 0.4615 each. This implies that distrust relationships between users are more important than trust ones in recommender systems. From the perspective of recommendation accuracy, SNACF-GA (Avg. MAE = 0.111943), the proposed algorithm which reflects both direct and indirect trust / distrust relationships information, was found to greatly outperform a conventional CF (Avg. MAE = 0.112638). Also, the algorithm showed better recommendation accuracy than the SNACF (Avg. MAE = 0.112209). To confirm whether these differences are statistically significant or not, we applied paired samples t-test. The results from the paired samples t-test presented that the difference between SNACF-GA and conventional CF was statistical significant at the 1% significance level, and the difference between SNACF-GA and SNACF was statistical significant at the 5%. Our study found that the trust/distrust relationship can be important information for improving performance of recommendation algorithms. Especially, distrust relationship information was found to have a greater impact on the performance improvement of CF. This implies that we need to have more attention on distrust (negative) relationships rather than trust (positive) ones when tracking and managing social relationships between users.