• International Journal of Costume and Fashion
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• v.13 no.2
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• pp.15-29
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• 2013

Today's technology enables consumers to trade millions of dollars, conduct online banking, access entertainment, and do countless other activities at the click of a button. Online social networks (OSN) have become a cultural phenomenon that allows for individualistic consumerism. Consumers are increasingly utilizing OSN to share ideas, build communities, and contact fellow consumers who are similar to themselves. The relevance of online communities to the music is immense especially because musicians are now using social media to build global audiences. Not only is information about music and performance disseminated online, but musical commodities are sold and traded online. Online music communities allow consumers to elect and create new identities online through the purchase of subcultural commodities. Given the growing economic importance of online music communities it is important to get a holistic view of subcultural communities online. This study utilized content analysis of online music community websites using the Netnography methodology as developed by Kozinet for data collection to analyze consumers' purchasing and consumption behavior of subcultural commodities online as related to the formation of subcultural identities. Findings showed that subcultural items are predominantly purchased online, especially digital music, and there is a need for more custom craft items. The authors presented a new conceptual taxonomy of online subcultural consumer classifications based on online behavior patterns.

• Journal of the Korean Society of Costume
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• v.63 no.4
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• pp.44-55
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• 2013

The main objectives of this study were to empirically examine the relationship between the preference of fashion styles of male college students and their individual taste in other areas including music styles and recreation types. Life style and values were also examined for their relationship with the fashion style preferences. Survey questionnaires were distributed to male college students in Seoul, Incheon and Gyeonggi-do during May and June of 2011, and a total of 256 responses were used in the final analysis. The results showed that there were three segments according to the fashion styles - 'modern-dandy', 'resistance style', 'no-individuality' groups - and there were significant differences between groups in terms of their preferred music styles and choice of recreational activities. Modern-dandy group preferred R&B, dance music and ballad, while resistance style group preferred hiphop, dance and reggae music. No-individuality group did not show any preference for a particular type of music. Both modern-dandy and resistance style groups liked sports, while resistance style group showed the lowest preference for hobby and culture. There were also significant differences in lifestyles and values according to the fashion styles of the three groups.

• Korean Journal of Digital Imaging in Medicine
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• v.11 no.2
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• pp.59-62
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• 2009

The purpose of this study is to know about solution of insecurity sense for solving the tediousness and inducing comfortableness in long time MRI examination. Studies were examined with total of 117 patients that the intention expression of self is possible for a month without dividing man and woman in november 2006. Examination methods were filled in questionnaire after testing using Siemens Impact 1.0T. The musical art were selected through intranet search and record sale inquiry using CD player and speaker. That kind of a music were selected with Korean classical music's 10 chapter, pop song 10's chapter, classic's 10 chapter and Korean popular song's 10 chapter. With analytical method, patients of under 40 year-old, or older and patients using ear-pad and head-phone were classified into groups. As analysis result with question item of questionnaire, most of the patients were showed a favor(36.72%) in playing a music, specially, examination of about 15.38% which uses the headphone prefer a music as older generation of over 40 year-old. In conclusion, with installing of the professional musical program in MRI test rooms, if listening to the music with selection by oneself before testing by season, age, time through development of appropriate musical program will be able to expect the more effect.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.18 no.12
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• pp.1352-1358
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• 2007

This paper address the statistical charateristics of MUSIC algorithm which is suggested as satellite direction finding algorithm. If the MUSIC algorithm is adopted as a satellite direction detection method in mobile TT&C system, then the statistical performance of the MUSIC algorithm will be closely related with the overall performance of the system. So statistical characteristics of the parameter in the respect of SNR and data length are addressed and then analyse the final effects to the satellite direction finding.

• The Journal of the Korea Contents Association
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• v.18 no.6
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• pp.617-627
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• 2018

Baroque music was the birth and growth era of modern music, but it was not composed for movies. Baroque music, however, is a feature that is inserted into the movies in many different forms, leading to the overall mood and narrative, and the ability to express the characters' feeling and inner word. Therefore, in this study, five Baroque music works, including the main theme song 'Vivaldi Cantata RV.684' in the movie , are produced, and analyzed through tonal, tempo, dynamics, musical notes, tones, rhythms, musical instrument, and genre. Through analysis, we will study what epic functions and roles Baroque music plays in movies.

• Journal of Korean Biological Nursing Science
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• v.15 no.2
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• pp.65-73
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• 2013

Purpose: The purpose of this study was to review the literature on music intervention for neurological patients in Korea and to explore the effect of music intervention on functional rehabilitation of neurological patients. Methods: This systematic review examined literature from 2005 to 2010. The existing literature was searched in the electronic databases of RISS and KISS using the following keywords: music, rhythmic movement, stroke, brain injury, dementia, Parkinson, spinal cord injury. Seventy-seven studies were founded through the database. After The exclusion of duplicates, case studies, literature review, and irrelevant studies, nine studies were included for analysis. Results: They included nine quasi-experimental studies. The medical diagnoses of the study participants were stroke, dementia, brain injury, and spinal cord injury. Among nine studies, only two studies were conducted in the nursing area. Eight studies used comprehensive music programs composed of health education, gait training, vocal training, or relaxation therapy, and these comprehensive programs were effective in the areas of physical and psychosocial treatment. Seventeen sessions were provided on average throughout intervention, and the average duration of each session was 49.4 minutes. Conclusion: Comprehensive music intervention can be implemented in nursing care for patients with neurological problem.

• Journal of Biomedical Engineering Research
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• v.19 no.5
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• pp.539-546
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• 1998

The purpose of this study is to estimate human emotion quantitatively under colors and music stimuli and to examine the for correlation between color and music sensibility. Physiological signals(electroencephalogram, electrocardiogram, Galvanic skin conductivity and respiration rate) were measured to compare color with music sensibilities. The personality of the subject were investigated using factor analysis and semantic differential method of 20 items(7 interval scaled). The results showed that red, yellow and violets color provoked active and exciting senses mainly as dance, rock and blues music. While blue, cyan and pink colors ware involved in tranquil and resting emotions deeply as classic and ballade music.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.44-54
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• 2023

This paper provides a comprehensive analysis of the implications of the metaverse on the music industry, focusing on copyright issues and potential solutions. It delves into the concept and characteristics of metaverse platforms, describing them as environments that immerse users in a variety of virtual experiences. A significant portion of the paper is dedicated to exploring music use and copyright infringement in the metaverse. It examines how users incorporate existing music into their content, often leading to legal challenges due to copyright infringement. The paper discusses the role of online service providers (OSPs) in this context and the legal implications of their actions. The paper also addresses the 'safe harbor' provisions for OSPs and examines the balance between protecting rights holders and limiting OSP liability. It highlights the challenges and limitations of copyright enforcement in the metaverse, especially given the unique nature of content on platforms such as Roblox. Finally, the article proposes solutions to simplify music licensing in the metaverse, suggesting a shift from property rules to liability rules and the establishment of Collective Management Organizations (CMOs) to streamline the licensing process and better protect copyright holders' interests.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.2217-2220
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• 2003

It is known that an EEG is characterized by the unique and personal characteristics of an individual. Little research has been done to take into account these personal characteristics when analyzing EEG signals. Often the EEG has frequency components which can describe most of the significant characteristics. These combinations are often unique like individual human beings and yet they have an underlying basic characteristics as well. We think that these combinations are the personal characteristics frequency components of the EEG. In this seminar, the EEG analysis method by using the Genetic Algorithms (GA), Factor Analysis (FA), and the Neural Networks (NN) is proposed. The GA is used for selecting the personal characteristic frequency components. The FA is used for extracting the characteristics data of the EEG. The NN is used for estimating the characteristics data of the EEG. Finally, in order to show the effectiveness of the proposed method, classifying the EEG pattern is carried out via computer simulations. The EEG pattern is evaluated under 4 conditions: listening to Rock music, Schmaltzy Japanese ballad music, Healing music, and Classical music. The results, when personal characteristics frequency components are NOT used, gave over 80 % accuracy versus a 95 % accuracy when personal characteristics frequency components are used. This result of our experiment shows the effectiveness of the proposed method.

• Journal of Information Technology Applications and Management
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• v.30 no.5
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• pp.1-19
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• 2023

This study examines Korean users' attitudes and emotions toward Melon and Spotify, which lead the music streaming market. We used Text Mining, Semantic Network Analysis, TF-IDF, Centrality, CONCOR, and Word2Vec analysis. As a result of the study, MelOn was used in a user's daily life. Based on Melon's advantages of providing various contents, the advantage is judged to have considerable competitiveness beyond the limits of the streaming app. However, the MelOn users had negative emotions such as anger, repulsion, and pressure. On the contrary, in the case of Spotify, users were highly interested in the music content. In particular, interest in foreign music was high, and users were also interested in stock investment. In addition, positive emotions such as interest and pleasure were higher than MelOn users, which could be interpreted as providing attractive services to Korean users. While previous studies have mainly focused on technical or personal factors, this study focuses on consumer reactions (online reviews) according to corporate strategies, and this point is the differentiation from others.