• Title/Summary/Keyword: Pop

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Design and Implementation of Equipment Monitoring System for Data Integration (데이터 통합을 위한 장비모니터링시스템 설계 및 구현)

  • Kwark, Woo-Young;Kim, Woo-Sung;Park, Geun-Duk
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.9
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    • pp.115-126
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    • 2009
  • It is an important matter to manage data gathered from equipment in the manufacturing environment. However, systematic management about these data is sparsely deployed in the practical fields. This paper proposes a middleware monitoring system that efficiently supports acquisition of data from the equipment, efficiently compensates the lost data and flexibly maintains extensibility of the system. Through the result system of this paper, the data gathered from the equipment are easily stored into the database and the system status is able to be monitored in real-time. Furthermore, because the data are stored in the XML format, they are utilized in other systems in straightforward manner, which enhances the interoperability of the system. Especially, it enables ease interface to SAP, implements light-weight system by a simplified business logic and strengthen the extensibility and maintenance ability.

Transformation of the Music Market brought about by Technology (테크놀로지가 가져온 음악 시장의 변혁)

  • kim, Joy
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.3
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    • pp.537-541
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    • 2022
  • As technology advances, various applications linked to the music industry are becoming popular through new media. There have been many changes in the music market. Beyond the existing music market, where music copyright and performance rights were the center of the music business, we are unifying and operating communication channels that connect artists and fans, such as investment products derived from music copyrights. The technology that connects the fandom with additional business digital content has transformed into global platforms such as HYBE Entertainment's and YG Entertainment's Weverse, as well as SM Entertainment's Bubble. In addition, various national support projects to build a 5G MEC (MobileEdge Computing) environment to quickly respond to the rapidly changing 5G industry ecosystem are supporting for the immersive content demonstration, immersive content testing, and technical analysis, we are laying the groundwork to efficiently respond to the ever-expanding metaverse content market. Technology is changing dramatically. Therefore, we would like to study to changes in the music market brought about by technology and suggest strategies for a new era in the music business.

Real Time Monitoring of Smart Baby Bed using Sound Sensor (사운드 센서 이용한 Smart 아기 침대의 실시간 모니터링)

  • Kwon, Mi-Rae;Park, Hwa-Jung;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.230-232
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    • 2021
  • As the ratio of double-income households and parental leave use increase, there is an increasing demand for products that help when raising children alone. In particular, there is a lot of demand for baby beds that help raise children without difficulty even by themselves. Therefore, in this paper, we propose a real-time monitoring of a smart crib using a sound sensor. The proposed bed uses a sound sensor to detect the child's crying and condition, and the measured sensor output value can be checked with a mobile application. When the sound sensor output value is more than a certain value, a voice file such as a lullaby recorded with the voice of the parents is played, and if the sensor output value is less than a certain value, the playing voice file is stopped. If the sensor output value continues to exist after a certain period of time, a pop-up notification is sent to the mobile application. This allows the child to quickly calm down with a sense of stability and comfort through the recorded voices of the parents, and the parents can remotely monitor the child's condition in real time.

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A Case Study on the Distribution of Cultural Contents in the Untact Era Using Big Data (빅데이터를 활용한 언택트 시대의 1인 콘텐츠 유통 사례 분석)

  • Wang, Deok-won;Kim, Jeong-hyeon;Son, Hye-ji;Jeon, Min-jun;Choi, Hun
    • 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.

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Social Capital and Cross-Cultural Effect of Korean Wave (Hallyu): Genre-specific Hallyu, Social Trust, and Network Heterogeneity in Europe (한류의 사회자본 효과와 문화간 커뮤니케이션 영향: 유럽 사회 한류 문화소비와 사회 연계망의 관계를 중심으로)

  • Na, Eunkyung
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.3
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    • pp.367-375
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    • 2022
  • Given the growing changes in media environment and cultural consumption, globally popular contents of Korean Wave(Hallyu) has also been transformed in its forms and genres. Moreover, extant research on Hallyu has focused on any single respective genre, mostly on East-Asian countries, or studied from Korea-centered perspective. This study examined the social capital effect of Korean Wave in users' own counties, especially in non-English European societies. Survey analysis results reveal that both narrative and non-narrative contents in Hallyu had negative impact on social trust and trust toward people of their own country, whereas positive effect on trust toward Koreans. In contrast, K-pop Hallyu showed positive effect on all types of social trust toward their own country and Koreans, as well as on social participation and bridging/bonding social networks.

Generational Fandom Culture Shift in K-Pop Idol Fandom and Social Media Use (팬덤의 소셜 미디어 이용 양태에 따른 아이돌 세대별 팬덤 문화의 변화)

  • Han, Mihwa;Na, Eunkyung
    • The Journal of the Korea Contents Association
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    • v.22 no.2
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    • pp.605-616
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    • 2022
  • Given that the current Idol fandom has been enormously affected by the development of digital technology such as the Internet, mobile or social media, this study explored how generational fandom culture has been shifted depending on the fandom's use of differential online platforms and services, i.e., online community vs. social network services. The survey results indicate that 3rd generation fandom showed significantly greater intimacy, greater attachment/worship, greater similarity toward Idol stars as well as greater fandom loyalty and greater fandom identity than 1st and 2nd generation fandom. Similarly, compared to online community centered fandom, social network centered fandom showed greater intimacy, greater attachment/worship, greater similarity as well as greater fandom loyalty and identity than community-centered fandom.

중국인 학습자를 위한 문화교육으로서 한·중 소설 비교읽기 -4.19와 문화대혁명을 중심으로-

  • Jeon, Yeong-Ui;Eom, Yeong-Uk
    • 중국학논총
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    • no.62
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    • pp.85-100
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    • 2019
  • The article purpose is 'Reading Chinese translation text as a Korean integrated education for Chinese students'. Although number of foreign students has increased rapidly to the economic growth of Korea, the influence of Korean Wave, and the popularity of Korean popular culture like K-pop at domestic universities but the problems of their curriculum have been found in many places. Korean literary education through novel text has an important place in Korean studies, but literary education is often excluded in Korean language education as a foreign language education. Chinese students already have background knowledge of Korean translation novels through Chinese novels. They can get the learning effect as the Korean language study. Second, they can compared with Korean national violence and Chinese national violence through 'Red Revolution' and understand about Korean-Chinese understanding of the times, social and cultural phenomena, Third, they are able to study the theory of literature itself. also It was the educational purpose pursued by the humanities. Chinese students develop their Korean language skills by studying the Brothers which are translated into Korean, and we can see the similarities and differences of national violence by comparing Korea's '4.19' with China's 'Cultural Revolution' After comparing people, background, dynamics of the space where they are located, we can raise awareness of the historical and social problems of both countries. It is possible to study subjects' memories of space, change of local meaning, the formation of urban space or individual space in the text in the specific space where national violence occurs. In this way, the method of learning Korean integrated education through Brothers of the Chinese translation novels makes an opportunity to look at national violence in the Korean-Chinese space of the 1960s and 1970s. It has a subjective perspective from subordination to the nationality of the modern nation-state. This is an educational effect that can be obtained through reading a Chinese translation novel as a Korean language integrated education.

Are Business Cycles in the Fashion Industry Affected by the News? -An ARIMAX Time Series Correlation Analysis between the KOSPI Index for Textile & Wearing Apparel and Media Agendas- (패션산업의 경기변동은 뉴스의 영향을 받는가? -섬유의복 KOSPI와 미디어 의제의 ARIMAX 시계열 상관관계 분석-)

  • Hyojung Kim;Minjung Park
    • Journal of the Korean Society of Clothing and Textiles
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    • v.47 no.5
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    • pp.779-803
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    • 2023
  • The growth of digital news media and the stock price index has resulted in economic fluctuations in the fashion industry. This study examines the impact of fashion industry news and macroeconomic changes on the Textile & Wearing Apparel KOSPI over the past five years. An auto-regressive integrated moving average exogenous time series model was conducted using the fashion industry stock market index, the news topic index, and macro-economic indicators. The results indicated the topics of "Cosmetic business expansion" and "Digital innovation" impacted the Textile & Wearing Apparel KOSPI after one week, and the topics of "Pop-up store," "Entry into the Chinese fashion market," and "Fashion week and trade show" affected it after two weeks. Moreover, the topics of "Cosmetic business expansion" and "Entry into the Chinese fashion market" were statistically significant in the macroeconomic environment. Regarding the effect relation of Textile & Wearing Apparel KOSPI, "Cosmetic business expansion," "Entry into the Chinese fashion market," and consumer price fluctuation showed negative effects, while the private consumption change rate, producer price fluctuation, and unemployment change rate had positive effects. This study analyzes the impact of media framing on fashion industry business cycles and provides practical insights into managing stock market risk for fashion companies.

A Review of Randomized Controlled Trials of Catgut Embedding Therapy for Urinary Incontinence (요실금의 매선 치료에 대한 무작위 대조군 연구의 문헌고찰)

  • Hyun-Joo Lee;Hee-Yoon Lee;Jang-Kyung Park;Young-Jin Yoon
    • The Journal of Korean Obstetrics and Gynecology
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    • v.37 no.2
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    • pp.58-74
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    • 2024
  • Objectives: This study aims to evaluate the efficacy of urinary incontinence treatment using catgut embedding therapy. Methods: Using electronic databases including Pubmed, EMBASE, and CAJ, we looked for randomized controlled trials that treated urinary incontinence with catgut embedding that were published between January 2000 and December 2023. The chosen clinical studies' interventions and outcomes were examined. Results: Ultimately, eight randomized controlled trials met the inclusion and exclusion criteria. Treatment group was treated with catgut embedding alone in 3 studies, and with Biofeedback Electrical Stimulation Therapy (Biofeedback EST), Kegel exercises, Herbal Medicine and Acupuncture Injection in 5 studies. Control group was treated with Biofeedback EST, Kegel exercises, Herbal Medicine, Vitamin B, Electroacupuncture (EA), Denitine Tolterodine Tartrat with Bladder Drill, Tension-free Vaginal Tape Obturator (TVT-O) and Acupoint Injection Therapy. Outcome measures are total efficacy rate, Urine pad test, Urinary frequency, Maximum bladder capacity, VRP, POP-Q, etc. 關元 (CV4) was the most frequently used acupoint in catgut embedding therapy. In all of 8 studies, treatment group was more effective for urinary incontinence than the control group. Conclusions: According to this study, catgut embedding may be useful in enhancing the therapeutic outcome for urine incontinence, either by itself or in conjunction with standard medical treatment.

Generating Data and Applying Machine Learning Methods for Music Genre Classification (음악 장르 분류를 위한 데이터 생성 및 머신러닝 적용 방안)

  • Bit-Chan Eom;Dong-Hwi Cho;Choon-Sung Nam
    • Journal of Internet Computing and Services
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    • v.25 no.4
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    • pp.57-64
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    • 2024
  • This paper aims to enhance the accuracy of music genre classification for music tracks where genre information is not provided, by utilizing machine learning to classify a large amount of music data. The paper proposes collecting and preprocessing data instead of using the commonly employed GTZAN dataset in previous research for genre classification in music. To create a dataset with superior classification performance compared to the GTZAN dataset, we extract specific segments with the highest energy level of the onset. We utilize 57 features as the main characteristics of the music data used for training, including Mel Frequency Cepstral Coefficients (MFCC). We achieved a training accuracy of 85% and a testing accuracy of 71% using the Support Vector Machine (SVM) model to classify into Classical, Jazz, Country, Disco, Soul, Rock, Metal, and Hiphop genres based on preprocessed data.