• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.3
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• pp.544-558
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• 1997

Black street style has made unique fashion in popular music such as Jazz, Soul, Rhythm Il Blues. Reggae, and Rap, and it is counterculture and subculture against white. Furthermore, the black street style has played a starring role in the development of white culture as well as black culture, which emerged in direct opposition to the dominant cultures practised by a fraction of fellow countrymen within the black diaspora. The objectives of this study are to examine the social chronology of the black street style and the contemporary fashion, and the influences of the black street style on white culture. The seeds of black's style were sown in the late forties, developing throughout the fifties with the arrival of black immigrants from the west Indies and its examples were zooties, hip cats 8l hipsters, modernists. Rude boy & two-tone was anti·fashion style in sixties and then rastafarians continued in seventies costume is used to convey an essential symbolic class and ethnic message. The latest black's street fashion is hip-hop dress, which is pluralistic and electric, and funk is also erratic. During its ten-year reign as an international style, it has undergone numerous shifts because it is decline of racism B-boy & flygirls toraggamuffins & bhangra style to acid Jazz. These have played a crucial part in influencing the gigh fashion and avant-grade fashion designers' work. Today's street fashion has characteristics of postmodern culture without a racism in global village. Moreover, pop music stars take an effect on the street style continuously. With the opening of a new century, the study of the street style will overcast popular fashion and suggest the direction of fashion design.

• Journal of Internet of Things and Convergence
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• v.2 no.2
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• pp.1-6
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• 2016

Recently, various types of wearable computers have been studied. In this paper, we analyze the characteristics of head motion information for the operation of the motion classifier produced motion headset that the user can use while listening to music. The prototype receives music from smart phone over bluetooth communications, and transmits the motion information measured by the acceleration sensor to the smart phone. And the smartphone classifies the motion of the head through a motion classifier. we implemented a prototype for our experiment. The user's head motion "up", "down", "left" and "right" were classified using a Bayesian classifier. As a result, in case of the movement of the head "up" and "down", there are a large changes in the x, z-axis values. In future we have a plan to perform a user study to find suitable variables for creating motion classifier.

• (The) Research of the performance art and culture
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• no.32
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• pp.333-370
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• 2016

This study examines self-reflexive scenes of Changgeuk [창극; Korean classical opera] Seopyenje [서편제]. This show deals with Pansori [판소리; a kind of Korean folk play] and its singers. The uniqueness of this show is that although it is a new creative work of Changgeuk, the traditional Pansori music is used intactly. These characteristics are related to some self-reflexive scenes in the show: the narcissistic reference of Pansori makes to seem that this show inherits a artistry of Pansori; a play within a play and a role-play reinforce a reality on the action and characters of outer play; an intertextuality, bringing the narrative and music of Pansori Simcheong-ga [심청가] in this show, it makes audiences spontaneously discover a connection between the cited original text and the hypertext. Namely, the self-reflexivity of Changgeuk Seopyenje doesn't destroy an illusion, but rather it presents a kind of conservative self-reflexivity which uncovers a part of tricks for the illusion in order to create new illusion.

• Knowledge Management Research
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• v.20 no.2
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• pp.25-42
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• 2019

AI speakers which are wireless speakers with smart features have released from many manufacturers and adopted by many customers. Though smart features including voice recognition, controlling connected devices and providing information are embedded in many mobile phones, AI speakers are sitting in home and has a role of the central en-tertainment and information provider. Many surveys have investigated the important factors to adopt AI speakers and influ-encing factors on satisfaction. Though most surveys on AI speakers are cross sectional, we can track customer attitude toward AI speakers longitudinally by analyzing customer reviews on AI speakers. However, there is not much research on the change of customer attitude toward AI speaker. Therefore, in this study, we try to grasp how the attitude of AI speaker changes with time by applying text mining-based analysis. We collected the customer reviews on Amazon Echo which has the highest share of AI speakers in the global market from Amazon.com. Since Amazon Echo already have two generations, we can analyze the characteristics of reviews and compare the attitude ac-cording to the adoption time. We identified all sub topics of customer reviews and specified the topics for smart features. And we analyzed how the share of topics varied with time and analyzed diverse meta data for comparisons. The proportions of the topics for general satisfaction and satisfaction on music were increasing while the proportions of the topics for music quality, speakers and wireless speakers were decreasing over time. Though the proportions of topics for smart fea-tures were similar according to time, the share of the topics in positive reviews and importance metrics were reduced in the 2nd generation of Amazon Echo. Even though smart features were mentioned similarly in the reviews, the influential effect on satisfac-tion were reduced over time and especially in the 2nd generation of Amazon Echo.

• Trans-
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• v.13
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• pp.117-140
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• 2022

Recently, artificial intelligence technology is being used throughout the industry. Currently, Currently, AI art generators are used in the NFT industry, and works using them have been exhibited and sold. AI art generators in the art field include Gated Photos, Google Deep Dream, Sketch-RNN, and Auto Draw. AI art generators in the music field are Beat Blender, Google Doodle Bach, AIVA, Duet, and Neural Synth. The characteristics of AI art generators are as follows. First, AI art generator in the art field are being used to create new works based on existing work data. Second, it is possible to quickly and quickly derive creative results to provide ideas to creators, or to implement various creative materials. In the future, AI art generators are expected to have a great influence on content planning and production such as visual art, music composition, literature, and movie.

• Journal of The Korean Society of Integrative Medicine
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• v.10 no.2
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• pp.135-143
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• 2022

Purpose : This study was to compare and analyze major factors related to smartphone addiction according to the gender of health-related college students. Methods : 720 people who voluntarily participated and agreed to fill out the questionnaire were randomly sampled. Smartphone addiction was measured using the Smartphone Addiction Scale Short Version (SAS-SV), sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI), anxiety symptoms were measured using the self-assessment anxiety scale (SAS), and depression symptoms were measured using the self-assessment depression scale (SDS). In addition, the age of each individual and the main function of smartphone use were also investigated. Results : The prevalence of smartphone addiction was higher among female students than male students (p<.05), while male students mainly played games and female students mainly used multimedia (video/music) viewing and social networking services (p<.05). In addition, male students showed a high association with smartphone addiction in the group where games were the main function of smartphone use, the group with low sleep quality, and the group with anxiety symptoms (p<.05), but for female students, multimedia (video/music) Or, the group in which social networking service is the main function of smartphone use, the group with low sleep quality, and the group with symptoms of anxiety and depression showed a high correlation with smartphone addiction (p<.05). Conclusion : It is expected that the results of this study will be used as basic data for providing customized solutions considering the characteristics of smartphone addicts.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.359-365
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• 2022

This study was to provide teaching and learning strategies to develop a creative sight-singing and ear-training program that aims to design student-centered education. Therefore, the characteristics of the sight-singing and ear-training as well as teaching and learning methods were analyzed through the literature review, and the following meaningful strategies were derived. First, a student-centered teaching environment was promoted by diversifying the teaching environment through small group activities and establishing a sustainable learning environment using MyEarTraining and Musescore applications. Second, teaching and learning strategies were proposed to improve sight-singing and ear-training skills by applying for various teaching and learning methods and cultivating the qualities of a pre-service teacher. This study is expected to be used as meaningful fundamental data in developing specific teaching and learning processes for a creative sight-singing and ear-training program.

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.219-227
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• 2019

In this paper, we proactively looked at the structure and characteristics of each instrument in order to compare and analyze the sound colors of the western violin, chinese erhu and korean haegeum, which are representative bow string instruments. Also, many performers have simply been unable to fully explain how the violin is rich in pitch and the haegeum has a unique tone. Also, many performers thinks that violin sounds rich just because it has many overtones and have been unable to fully explain how haegeum makes unique tone. While previous research data show that most instruments are studied and published by analyzing their own frequencies or related cases of acoustic studies, this study provides a visual look how the harmonics composition, which determines musical instruments' timbres, consists of and suggests data specifically by analyzing each sound pressure of integer multiple overtones so that the structure of instruments' unique timbre can be understood. Based on this, we hope that it will be of considerable help to the development of virtual musical instruments of korean traditional instruments, which are relatively small compared to western virtual instruments, by reproducing instrument sounds through the synthesizers in the future.

• Journal of Information Technology Services
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• v.23 no.3
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• pp.103-118
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• 2024

Due to the advancement of virtual reality technology, virtual idols are widely used in industrial and cultural content industries. However, it is difficult to utilize virtual idols' social perceptions because they are not properly understood. Therefore, this paper collected and analyzed YouTube comments to identify differences about social perception through comparative analysis between virtual idols and general idols. The dataset was constructed by crawling comments from music videos with more than 10 million views of virtual idols and more than 10,000 comments. Keyword frequency and TF-IDF values were derived from the collected dataset, and the connection centrality CONCOR cluster was analyzed with a semantic network using the UCINET program. As a result of the analysis, it was found that virtual idols frequently used keywords such as "person," "quality," "character," "reality," "animation," while reactions and perceptions were derived from general idols. Based on the results of this analysis, it was found that while general idols are mainly evaluated with their appearance and cultural factors, social perceptions of virtual idols' values are mixed with evaluations of cultural factors such as "song," "voice," and "choreography," focusing on technical factors such as "people," "quality," "character," and "animation." However, keywords such as "song," "voice," "choreography," and "music" are included in the top 30 like regular idols and appear in the same cluster, suggesting that virtual idols are gradually shifting away from minority tastes to mainstream culture. This study aims to provide academic and practical implications for the future expansion of the industry and cultural content industry of virtual idols by grasping the social perception of virtual idols.

• Journal of Music and Human Behavior
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• v.13 no.1
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• pp.1-18
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• 2016

This study examined the correlation between the rhythm reproduction performance and cognitive function of school-aged children. A total of 59 third grade elementary students participated in this study. An iPad-based rhythm reproduction task, the Digit Span Test (DST), the Children's Color Trails Test (CCTT), and a self-paced tapping task via a MIDI keyboard were conducted for each participant. The results demonstrated that scores at each stage of the iPad-based rhythm reproduction test showed different patterns of correlation with cognitive function test scores. This result suggests that accuracy of a simple rhythm task is correlated to speed of self-paced tapping (second). Also cognitive function may affect rhythm grouping ability. Results of this analysis for each of 20 rhythm items showed that there was a common rhythm characteristics that correlated with executive function, working memory or self-paced tapping speed. These results indicate that rhythm ability is related to, and predictive of, the level of cognitive functioning in elementary school students and can be used as an useful parameter when examining cognitive function of school-aged children in multifaceted dimensions.