• Journal of Music and Human Behavior
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• v.5 no.2
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• pp.93-102
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• 2008

In Jungian theory the developmental stages of human life are symbolized as a circle that represents the wholeness, and the open ended process towards the wholeness is called Individuation. In the belief that every human being has his or her own "Music Child" that represents one of the creative, genuine, healthy cores of the self, we are all musical beings, and each individual has his or her own relationship to music. Musical individuation therefore refers an open-ended process towards the wholeness in music. Being a Nordoff-Robbins Music Therapist, who values the therapeutic essence of innate creativity and uses improvisational music to maximize it, helped me realize that not only the client but also the therapist has to reach his or her own musical self, Music Child, in order to facilitate any change or growth through music. This realization led me to start a journey towards my own musical individuation. Hence, this essay is a very personal document illustrating my ongoing journey towards musical individuation that will allow me to become more whole and genuine in music.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.670-677
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• 2007

본 연구는 기존의 미디어 연구 내에서 시각미디어에 비해 상대적으로 그 중요성이 간과되어 왔던 음악미디어에 대한 계보적 접근을 통해서 MP3의 사회문화적 의미를 고찰해보는 시론적 성격을 가진 연구다. 이러한 분석을 위해서 고립주의적인 미디어 연구와는 달리 미디어 사이의 상호관계적인 맥락에서 미디어를 파악하는 미디어 재매개 이론을 이론적 기반으로 해 MP3에 대한 분석을 시도한다. 이러한 연구의 결과로 본 연구에서는 음악미디어의 재매개 과정을 소리의 비매개성과 인터페이스의 하이퍼매개성이라는 이중 논리로 분석했다. 또한 음악미디어 재매개의 관행으로 이동성과 사사화라는 측면에서 MP3가 기존 음악미디어들이 가지고 있던 '이동성과 사사화'에 '밀도의 심화'를 가져왔다고 밝혔다. MP3의 시공간성은 음악미디어의 청각적 시공간성과 모바일 기기들이 가지는 모바일 시간성의 융합을 통한 '모바일 음악 시공간성'으로 개념화 했으며, MP3의 사회적 물질적 차원의 재매개를 통한 듣기 체계의 변화는 저작권 문제와 음악가들의 지위의 변화의 차원에서 고찰되었다.

• Proceedings of the KAIS Fall Conference
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• 2011.05b
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• pp.864-867
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• 2011

본 논문에서는 드럼연주에 있어서 라이드 심벌 비트(ride cymbal beat)를 중심으로 현대 재즈리듬과 폴리리듬과의 연관성에 관하여 생각해 보고자 한다. 현대는 아주 다양한 장르의 음악들이 서로서로 영향을 주고받고 있기 때문에 다양한 음악을 수용하는 특징을 가지고 있는 재즈에서의 리듬은 어느 한 가지로 단순히 정의할 수 없다. 그러나 재즈의 전통적인 측면에서 볼 때 그 변화를 이야기 할 수 있는 리듬은 보편적인 재즈리듬이라 일컬어지는 스윙리듬(swing rhythm)이다. 이러한 스윙리듬은 현대의 폴리리듬을 이전보다 더 정교하게 연주하는 연주인들의 영향으로 말미암아 재즈의 역사 속에서 변화해 온 것과 다르게 좀 더 음표의 정의에 맞게 연주되는 경향이 생겼다. 이것은 어떤 면에서 전통적인 재즈리듬의 느낌, 혹은 개개인의 개성이 다소 사라지고 좀 더 기계화, 정형화되었다는 것을 의미한다.

• The Journal of the Korea Contents Association
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• v.22 no.6
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• pp.283-294
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• 2022

In this era of globalization, people's knowledge and cultural aesthetics are strongly influenced by the cultures of different countries, and diversified art forms have broken the traditional art framework, so how to stick to the essence of the country's traditional culture and make it inherited has became an important issue that cannot be ignored in the development of music today. Tan Dun, as one of the representative figures of Chinese contemporary music, has brought important inspirations to the development of Chinese music. With bold and free conceptions, innovative personality, unique Chinese tradition and international perspective. With a spirit of breaking down the barriers between tradition and modernity, East and West, and a concept of integrating multiple cultures into one, he has become a unique figure in the world of music. As researchers in composition, not only do we take on the responsibility of passing on Chinese culture, but we also need to explore the future development direction of Chinese music. Therefore, this paper takes Tan Dun's four traditional musical elements of organic music, Buddhist culture, witchcraft beliefs, folk songs and opera in his works and examines how Tan Dun perfectly blends traditional Chinese music culture with contemporary music language. And explore how the domestic traditional culture co-exists with modernity in today's diverse world.

• Science of Emotion and Sensibility
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• v.19 no.2
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• pp.79-88
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• 2016

Modern society is living in material affluence after the Industrial Revolution. Meanwhile, consumer needs, in conformity with product diversification, are also being diversified. Modern consumers, unlike those of the past, are trending towards individual consumption that satisfies emotion and values instead of simple goal-oriented consumption. A model case is that of Starbucks. Starbucks has grown into the global coffee franchise it is today through emotional marketing that sells an atmosphere that is unique to Starbucks, consisting of store decorations, store music, employee service, and charming coffee aromas that are identical in every store anywhere in the world. Because this method is marketing that stimulates human emotion, it is assigned to and appeals to human senses and sensitivity. In other words, the charm of emotion marketing is that it draws out consumer emotion, produces positive reactions towards products, and leads to consumption. The utilization of emotions for products or service differentiates brand image and is becoming a key method in reinforcing brand royalty. In particular, more importance is being placed on customer service to strongly impress consumers. Intangible service is becoming the best way to impress customers.

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.77-110
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• 2017

Recently, the diversification and individualization of consumption patterns through the web and mobile devices based on the Internet have been rapid. As this happens, the efficient operation of the offline store, which is a traditional distribution channel, has become more important. In order to raise both the sales and profits of stores, stores need to supply and sell the most attractive products to consumers in a timely manner. However, there is a lack of research on which SKUs, out of many products, can increase sales probability and reduce inventory costs. In particular, if a company sells products through multiple in-store stores across multiple locations, it would be helpful to increase sales and profitability of stores if SKUs appealing to customers are recommended. In this study, the recommender system (recommender system such as collaborative filtering and hybrid filtering), which has been used for personalization recommendation, is suggested by SKU recommendation method of a store unit of a distribution company that handles a homogeneous brand through a plurality of sales stores by country and region. We calculated the similarity of each store by using the purchase data of each store's handling items, filtering the collaboration according to the sales history of each store by each SKU, and finally recommending the individual SKU to the store. In addition, the store is classified into four clusters through PCA (Principal Component Analysis) and cluster analysis (Clustering) using the store profile data. The recommendation system is implemented by the hybrid filtering method that applies the collaborative filtering in each cluster and measured the performance of both methods based on actual sales data. Most of the existing recommendation systems have been studied by recommending items such as movies and music to the users. In practice, industrial applications have also become popular. In the meantime, there has been little research on recommending SKUs for each store by applying these recommendation systems, which have been mainly dealt with in the field of personalization services, to the store units of distributors handling similar brands. If the recommendation method of the existing recommendation methodology was 'the individual field', this study expanded the scope of the store beyond the individual domain through a plurality of sales stores by country and region and dealt with the store unit of the distribution company handling the same brand SKU while suggesting a recommendation method. In addition, if the existing recommendation system is limited to online, it is recommended to apply the data mining technique to develop an algorithm suitable for expanding to the store area rather than expanding the utilization range offline and analyzing based on the existing individual. The significance of the results of this study is that the personalization recommendation algorithm is applied to a plurality of sales outlets handling the same brand. A meaningful result is derived and a concrete methodology that can be constructed and used as a system for actual companies is proposed. It is also meaningful that this is the first attempt to expand the research area of the academic field related to the existing recommendation system, which was focused on the personalization domain, to a sales store of a company handling the same brand. From 05 to 03 in 2014, the number of stores' sales volume of the top 100 SKUs are limited to 52 SKUs by collaborative filtering and the hybrid filtering method SKU recommended. We compared the performance of the two recommendation methods by totaling the sales results. The reason for comparing the two recommendation methods is that the recommendation method of this study is defined as the reference model in which offline collaborative filtering is applied to demonstrate higher performance than the existing recommendation method. The results of this model are compared with the Hybrid filtering method, which is a model that reflects the characteristics of the offline store view. The proposed method showed a higher performance than the existing recommendation method. The proposed method was proved by using actual sales data of large Korean apparel companies. In this study, we propose a method to extend the recommendation system of the individual level to the group level and to efficiently approach it. In addition to the theoretical framework, which is of great value.