• Journal of Digital Contents Society
• /
• v.18 no.6
• /
• pp.1025-1032
• /
• 2017

Recently the domestic popular song market has been growing mainly in digital sound sources. As a result of analyzing the top 100 music charts from 2012 to 2016 through digital sound sources and musical scores, the average annual BPM has fallen by 11.26 over five years. Every year, The style of music has diversified every year, and the proportion of Hip-hop has doubled from 8.5% in 2012 to 17.8% in 2015. Dance music and ballads have a high preference rate, but the relationship is inversely proportional. Singer composition was inversely proportional to the ratio of female solo to male group. Especially, the relationship between BPM and the Major/Minor key is that 81.42% for slow tempo songs is Major key and 53.85% for fast tempo songs is minor key. In the case of TV drama OST, the solo singer 's music was preferred, the music style was 80% pop and 20% ballad.

• The Journal of the Korea Contents Association
• /
• v.14 no.12
• /
• pp.924-934
• /
• 2014

In the last 10 years the digital music contents market has grown rapidly. However digital music contents product and services are not managed with product planning and price policy considered customer attitude and digital music contents values. This study is to define the value properties of digital music contents services based on streaming and download as genre, price, sound quality, and usage appliance, and suggest the strategic market price and service composition of digital music contents service by customer attitudes about the value properties. The research used the conjoint analysis methodology based on the hedonic price model and collected 405 questionaries by users of Korean digital music contents services to the analysis. Hence 'sound quality' in download platform, and 'appliance' in streaming platform were the elements to evaluate the customer attitude. The results present the music contents productions and companies have to provide the differentiated services and price by the value properties of user preference in the market.

• Journal of Korea Multimedia Society
• /
• v.11 no.10
• /
• pp.1338-1346
• /
• 2008

In this paper, we propose a new P2P-based music recommendation system. In comparison with previous system in client-server environment, the proposed system shows higher quality of music recommendation through real-time sharing of music preference information between peers. A collaborative filtering is implemented as a recommendation algorithm. As a user preference profile, we use the inherit KID music genre index contained in all legitimate music file instead of music feature vectors as in previous research so that the proposed system can mitigate the performance degradation and high computational load caused by feature inaccuracy and feature extraction. The performance of the proposed system is evaluated in various ways with real 16-weeks transaction data provided by Korean music portal, 5 company and it shows comparative quality of recommendation with only small amount of computational load.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.16 no.1
• /
• pp.89-94
• /
• 2021

In this paper, we presented the results of analysis with data obtained through EEG measurements to confirm the effect of musical stimulus when performing mathematical tasks. While the subject was solving a mathematical task, favorite and unfavorite music classified according to the subject's preference were presented as musical stimulus and the tasks were divided into memorization task and procedure task. The data measured in the EEG experiments was divided into theta waves, SMR waves and mid-beta waves which are the frequency bands related to concentration to compare the relative power spectrum values. In our results, in the case of comparing no music with favorite music and no music with unfavorite music, a significant difference was observed in the several channels, and the average difference was shown in the channels F3 and F4 of the frontal lobe. In that channels, the power was found to be greater when the music was presented than the case where there was no music. Depending on the subject's preference, it was confirmed that favorite music showed greater brain activity than unfavorite music.

• Korean Journal of Adult Nursing
• /
• v.28 no.5
• /
• pp.525-535
• /
• 2016

Purpose: This study was conducted to examine the effects of music therapy on anxiety, sedation, and stress responses of patients during surgery with spinal anesthesia. Methods: A quasi-experimental design with a non-equivalent control group pre-post test was used. There were 55 adults over 19 years of age scheduled for a lower leg surgery with spinal anesthesia: 27 in the treatment group and 28 in the comparison group. Each subject in the treatment group identified their music preference which was used during the period of surgery which usually lasted, 61 minutes. Data were analyzed using chi-square, Fisher's exact test, independent t-test and repeated measured ANOVA. Results: There were significant reported differences in levels of anxiety, sedation, and stress responses which were measured by plasma cortisol levels, heart rate, and respiratory rate. The findings of all the variables were effectively decreased among those in the treatment group than the comparison group. Conclusion: The preference based music therapy may be useful as a non-pharmacological intervention.

• The Journal of the Korea Contents Association
• /
• v.10 no.8
• /
• pp.130-137
• /
• 2010

An advancement and wide use of portable multimedia devices make it easy to spread digital sound source, enabling users to use portable multimedia devices and search and enjoy digital sound sources and related contents. In opposition the off-line musical service market with CD stagnates gradually and in the crisis where the off-line musical service market vanishes away. In this paper, we propose the mobile music album information retrieval system which combines the barcode and a cellular phone musical service. To get digital sound sources and related information from music albums, the proposed retrieval system uses one-dimensional barcodes attached to music albums and obtains information on related albums from the sound source servers. Also, to reflect user preferences in search results, the system uses search frequency by music album, and searches albums in music genres selected by users in the order of the recent preference. The proposed mobile music album retrieval system is implemented on the basis of WIPI, and is now providing pilot services.

• Journal of the Korean Home Economics Association
• /
• v.12 no.34
• /
• pp.663-677
• /
• 1974

The social and psychological approaches to clothing researches by Fluge,l, Hurlock and Barr in the early 1930's have since been developed greatly. It has now been generally agreed that clothing is the symbol of one's personality and social status, for clothing is regarded as the second skin and a manifestation of one's emotional states as well. Based on this consensus, this study was intended to observe the possible relationship between one's clothing design preference-in line, color and texture- and interest. For this survey, 200 college woman students from four universities were selected at random, and an interest-test standardized by prof. Jung Bum Mo and a questionaire made of 20 items on the clothing prferences were given. The results as commputerized and analyzed are as follows : 1. Line Preference a) Structural line : It is quite obvious that those like straight line are interested in fine arts, and curved line in physics. b) Out-line : Among tubular, bell and bustle of the silhouette, those like the bustle have shown particular interest in music, and the tubular in politics and business. c) Style : There is a salient tendency that those like a dressy style are much interested in music, and casual style in physics and physical exercise. 2. Color Preference a) Favorite color : Those like red, orange and yellow show a high interest in artistic activities and physical exercise, and black, grey and white in politics. b) Variety and combination of color ; These have shown no relationship to the interest. 3. Texture Preference a) The touch : Those like the texture with the feeling the crisp and rough are interested in fine arts, and of soft and smooth in the field of social service. b) Fabric surface : Those like naturalistic pattern, i.e. print of flowers, show much interest in music and literature, and plain fabrics in physical exercise.

• Journal of Music and Human Behavior
• /
• v.9 no.1
• /
• pp.1-19
• /
• 2012

The purpose of this research was to investigate the musical activities and musical preference according to coping strategy of university students. The survey was conducted to 200 students and the data of 168 was analysed. The results of the research are as follows. First, the number of problem-solving coping was the highest, and the number of emotional-alleviate coping was the lowest. And coping strategy between male and female student showed a significant difference. Second, music listening was the most preferred activity. There was a significant difference in the most preferred activity between male and female students, also between active and inactive coping strategy. However, the most doing activity between music major students and non-music major students showed a significant difference. In addition, there was a significant differences in the purpose of playing instruments between male and female students and among academic year. Third, Korean-pop was the most preferred genre. Result showed a significant difference in preferred musical elements between male and female students. There were genre, melody, loudness, and theme of lyric. Meanwhile, preferred musical elements between active and inactive coping strategy showed a statistical differences. There were rhythm, timbre, and medium of listening. Finally, there were statistical differences in the preferred harmony and familiarity between music major students and non-music major students.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.19 no.4
• /
• pp.504-510
• /
• 2009

Recently, personalized-adaptive services became the center of interest in the world. However the services about music are not widely diffused out. That is because the analyzing of music information is more difficult than analyzing of text information. In this paper, we propose a music recommendation system which provides personalized services. The system keeps a user's listening list and analyzes it to select pieces of music similar to the user's preference. For analysis, the system extracts properties from the sound wave of music and the time when the user listens to music. Based on the properties, a piece of music is mapped into a point in the property space and the time is converted into the weight of the point. At this time, if we select and analyze the group which is selected by user frequently, we can understand user's taste. However, it is not easy to predict how many groups are formed. To solve this problem, we apply the K-means clustering algorithm to the weighted points. We modified the K-means algorithm so that the number of clusters is dynamically changed. This manner limits a diameter so that we can apply this algorithm effectively when we know the range of data. By this algorithm we can find the center of each group and recommend the similar music with the group. We also consider the time when music is released. When recommending, the system selects pieces of music which is close to and released contemporarily with the user's preference. We perform experiments with one hundred pieces of music. The result shows that our proposed algorithm is effective.

• The KIPS Transactions:PartD
• /
• v.19D no.3
• /
• pp.211-220
• /
• 2012

Recently K-Pop gained worldwide sensational popularity, no longer limited to the domestic pop music scene. One of the main causes can be that K-Pop mostly are "Hook Song" which has the "hook effect": a certain melody or/and rhythm is repeated up to 70 times in one song so that it hooks the ear of the listener. Also, visual effects by K-Pop dance group are supposed to contribute to gaining the popularity. In this paper, we propose a method which traces the changes of preference for Korean pop music according to the passing of time and investigates the causes using acoustic signal analysis. For this, experiments in acoustic signal analysis are performed on Korean pop music of from popular female singers in 1960s to those as of this date. Experimental results by applying acoustic signal processing techniques show that the periods discrimination is possible based on scientific evidences. Also, quantitative, objective and numerical data based on acoustic signal processing techniques are extracted compared with the pre-existing methods such as subjective and statistical data.