• Proceedings of the Korea Inteligent Information System Society Conference
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• 2004.11a
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• pp.323-330
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• 2004

As mobile market grows more and more fast, the mobile contents market, especially music contents for mobile phones have recorded remarkable growth. In spite of this rapid growth, mobile web users experience high levels of frustration to search the desired music. New musics are very profitable to the content providers, but the existing collaborative filtering (CF) system can't recommend them. To solve these problems, we propose an extended CF system to reflect the user's real preference by representing the characteristics of users and musics in the feature space. We represent the musics using the music contents based acoustic features in multi-dimensional feature space, and then select a neighborhood with the distance based function. Furthermore, this paper suggests a recommendation for procedure for new music by matching new music with other users' preference. The suggested procedure is explained step by step with an illustration example.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.693-694
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• 2014

This short paper briefly describes the proposed music recommendation method that provides suitable music pieces to a listener depending on both listeners' ratings and content of music pieces. The proposed method consists of two methods. First, listeners' ratings prediction method is a combination the traditional user-based and item-based collaborative filtering methods. Second, genre classification method is a combination of feature extraction and classification procedures. The feature extraction step obtains audio signal information and stores it in data structure, while the second one classifies the music pieces into various genres using decision tree algorithm.

• Journal of Intelligence and Information Systems
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• v.26 no.3
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• pp.171-191
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• 2020

This study focused on digital music, which is the most valuable cultural asset in the modern society and occupies a particularly important position in the flow of the Korean Wave. Digital music was collected based on the "Gaon Chart," a well-established music chart in Korea. Through this, the changes in the ranking of the music that entered the chart for 73 weeks were collected. Afterwards, patterns with similar characteristics were derived through time series cluster analysis. Then, a descriptive analysis was performed on the notable features of each pattern. The research process suggested by this study is as follows. First, in the data collection process, time series data was collected to check the ranking change of digital music. Subsequently, in the data processing stage, the collected data was matched with the rankings over time, and the music title and artist name were processed. Each analysis is then sequentially performed in two stages consisting of exploratory analysis and explanatory analysis. First, the data collection period was limited to the period before 'the music bulk buying phenomenon', a reliability issue related to music ranking in Korea. Specifically, it is 73 weeks starting from December 31, 2017 to January 06, 2018 as the first week, and from May 19, 2019 to May 25, 2019. And the analysis targets were limited to digital music released in Korea. In particular, digital music was collected based on the "Gaon Chart", a well-known music chart in Korea. Unlike private music charts that are being serviced in Korea, Gaon Charts are charts approved by government agencies and have basic reliability. Therefore, it can be considered that it has more public confidence than the ranking information provided by other services. The contents of the collected data are as follows. Data on the period and ranking, the name of the music, the name of the artist, the name of the album, the Gaon index, the production company, and the distribution company were collected for the music that entered the top 100 on the music chart within the collection period. Through data collection, 7,300 music, which were included in the top 100 on the music chart, were identified for a total of 73 weeks. On the other hand, in the case of digital music, since the cases included in the music chart for more than two weeks are frequent, the duplication of music is removed through the pre-processing process. For duplicate music, the number and location of the duplicated music were checked through the duplicate check function, and then deleted to form data for analysis. Through this, a list of 742 unique music for analysis among the 7,300-music data in advance was secured. A total of 742 songs were secured through previous data collection and pre-processing. In addition, a total of 16 patterns were derived through time series cluster analysis on the ranking change. Based on the patterns derived after that, two representative patterns were identified: 'Steady Seller' and 'One-Hit Wonder'. Furthermore, the two patterns were subdivided into five patterns in consideration of the survival period of the music and the music ranking. The important characteristics of each pattern are as follows. First, the artist's superstar effect and bandwagon effect were strong in the one-hit wonder-type pattern. Therefore, when consumers choose a digital music, they are strongly influenced by the superstar effect and the bandwagon effect. Second, through the Steady Seller pattern, we confirmed the music that have been chosen by consumers for a very long time. In addition, we checked the patterns of the most selected music through consumer needs. Contrary to popular belief, the steady seller: mid-term pattern, not the one-hit wonder pattern, received the most choices from consumers. Particularly noteworthy is that the 'Climbing the Chart' phenomenon, which is contrary to the existing pattern, was confirmed through the steady-seller pattern. This study focuses on the change in the ranking of music over time, a field that has been relatively alienated centering on digital music. In addition, a new approach to music research was attempted by subdividing the pattern of ranking change rather than predicting the success and ranking of music.

• Journal of Korean Biological Nursing Science
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• v.12 no.1
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• pp.48-57
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• 2010

Purpose: The purpose of this study was to examine the effect of music therapy on pain, depression in terminally-ill patients. Methods: The subjects for this study were collected from 44 patients who were admitted in F hospital, located in D city from July 1 to July 31 in 2008. The subjects were divided into two groups: 23 experimental group members and 21 control members. While the control group was not received any additional intervention, the experimental group was received music therapy intervention. Data analysis were performed by the chi-square test, t-test and ANCOVA with SPSS/WIN 12.0 Program. Results: The 1st hypothesis is, "the experimental group who received music therapy would have less pain score than the control group who did not receive music therapy", was rejected (F=2.33, p=.14). The 2nd hypothesis is, "the experimental group who received music therapy would have less depression score than the control group who did not receive music therapy", was supported (F=11.616, p=.001). These results demonstrated that music therapy to terminally patients was an effective method in decreasing depression. Conclusion: Based on the results of this study, Music therapy can be utilized as an effective nursing intervention for the terminally ill.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.1
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• pp.81-87
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• 2013

In this paper, we propose a music search algorithm for automotive infotainment system. The proposed method extracts fingerprints using the high peaks based on log-spectrum of the music signal, and the extracted music fingerprints store in cloud server applying a hash value. In the cloud server, the most similar music is retrieved by comparing the user's query music with the fingerprints stored in hash table of cloud server. To evaluate the performance of the proposed music search algorithm, we measure an accuracy of the retrieved results according to various length of the query music and measure a retrieval time according to the number of stored music database in hash table.

• Journal of Korean Public Health Nursing
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• v.19 no.2
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• pp.294-304
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• 2005

Purpose: The purpose of this study was to review and analyze the trend and issues of nursing research on music therapy. This study was aimed to help direct developing better music therapy programs in the future. Method: We reviewed 57 dissertations and published articles from 1983 to Feb. 2005 that were related to music therapy in nursing. Result: Among the 57 published researches on music therapy, 47 (82.5%) were dissertations and 10 (17.5%) were published articles. Among the 57 researches, 55 (96.5%) were experiential researches and 2 (3.5%) were non-experimental researches. Surgical patients were the most popular subject for researches. The number of subject was a minimum of 7 people and maximum of 143 people. Listening to music 41 (74.5%) was the most popular program for music therapy. Among 55 researches, 33 (60.0%) had a music therapy session of 25-60 minutes and this was the most popular time duration of therapy. Among all the 108 dependent variables, 57 (52.8%) were psychological variables, 40 (37.0%) were physical variables and 11 (10.2%) were social-cognitive variables. Conclusion: There is an urgent need to develop systematic music therapy programs with different nursing interventions, as based on theories and principles while considering the physical, psychological, and social characteristic of the subjects.

• Fashion & Textile Research Journal
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• v.16 no.1
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• pp.55-65
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• 2014

This study analyzes music visualization characteristics in modern fashion based on Wassily Kandinsky's music visualization theory. Alexander McQueen's 2014 Spring Ready-to-wear Collection (as inspired by Mondrian's paintings) was selected as the research subject. First, an analysis of Mondrian's paintings based on Wassily Kandinsky's theory shows that music visualization characteristics can be categorized into spatiality, mobility, and duality. Second, McQueen applied Mondrian's paintings to the overall design, structured the model's shape in the painting, or created patterns using colors and lines that introduced them in clothes; symbolic forms were also introduced as part of or a decorative factor of the clothes. Third, spatiality refers to the creation of a feeling of space through emptiness or fill using lines, colors, and shape. Musical atmosphere such as dissonance were expressed in clothing through the application of color contrast, lines and silhouette dynamics, and symbolic format and patterns by Mondrian. Fourth, mobility generally refers to motion caused by a certain stimulus. Mondrian expressed vibration, internal resonance, sound level in music that emphasized color irregularity, primary color contrast, and rough brush touches as well as free and organic patterns. McQueen expressed this with primary color contrast using different materials, rough touch based on texture, and pattern repetition through transformation. Fifth, duality generally refers to the artistic effect caused by overlap. Mondrian created a resemblance of dissonance and music through line and color as expressed through the duality of clothing design components based on the artistic sense of the designer.

• Journal of Music and Human Behavior
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• v.17 no.2
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• pp.83-100
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• 2020

The purpose of this study was to develop and validate the music program based on social-emotional learning (SEL) to facilitate social inclusion between children with and without disabilities studying together in inclusive classes. For program development, the literature on social inclusion programs and SEL programs were analyzed. Program components were extracted from the literature review and based on the review activities were also selected. The participants were fifth- and sixth-grade elementary school students, including children with intellectual disabilities, and the program was implemented over 12 sessions during the students' creative experiential activity class. The validity of the program was evaluated by teachers and the specified program contents were modified and finalized reflecting the professionals' recommendations. This study supports that SEL-based music program can be effectively applied to inclusive education. The developed music program is also expected to improve the social and emotional capacity of children in inclusive classrooms and to increase the social inclusion between children with and without disabilities.

• The Research Journal of the Costume Culture
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• v.23 no.5
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• pp.793-806
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• 2015

This study is to explore the effect of music characteristics (i.e., likeliness and familiarity of music) on the relationship between mood and attitude toward the product in the online shopping mall selling hand-made shoes. A total of 319 consumers participated in experiments with online shopping mall stimuli with a variety of background music. In results, consumer mood positively affected attitude toward the hand-made shoe products in the online shopping mall under background music. A moderating effect of music likeliness was found in the relationship between mood and product attitude, indicating that mood more strongly affected product attitude under more liked music than under less liked music. When consumers are listening to more liked music and are in good mood, they may build their attitudes toward products independently from their mood, whereas they may build positive attitude under good mood versus negative attitudes under bad mood if they are listening to less liked music. A moderating effect of music familiarity was not found in the relationship between mood and product attitude. Based on results, it was confirmed that the S-O-R model could be applied to explain the effect of background music on consumer responses in online shopping malls. Marketers may be able to select and adjust the likeliness and familiarity of background music to better serve consumers in diverse shopping conditions, referring to the study findings.

• Journal of Music and Human Behavior
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• v.19 no.2
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• pp.1-26
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• 2022

This review was conducted to identify the research trends in music intervention studies with elderly patients with dementia. Korean- and English-written studies on music intervention for this population were searched and analyzed. Seventeen studies were included in the final analysis. The results showed that behavioral and psychological symptoms were the main dependent variables. In terms of the type of music intervention employed, interventions requiring the patient's active participation in producing music were more common than interventions that required the patient to only listen to music. The majority of studies provided live music, selected music that was familiar to and preferred by the patient, and utilized rhythm-based performance activities. In the studies using active music production as the intervention, the participants were asked to express the emotions evoked by group instrument playing or singing along with music, which doesn't reflect the functional limitations (e.g., cognitive impairment) of elderly patients with moderate to severe dementia. The results of this review point to the need in the field to develop music intervention programs for the elderly with moderate to severe dementia that meaningfully engage these patients in music-related behaviors that target their specific symptomology.