• Journal of Music and Human Behavior
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• v.5 no.1
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• pp.67-90
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• 2008

This case used MI techniques that give an imagery experience to depressed client's mental resource, and that makes in to verbalism. Also those images are supportive level therapy examples that apply to positive variation. MI is simple word of 'Music and Imagery' with one of psychology cure called GIM(Guided Imagery and Music). It makes client can through to the inner world and search, confront, discern and solve with suitable music. Supportive Level MI is only used from safety level music. Introduction of private session can associate specification feeling, subject, word or image. And those images are guide to positive experience. The First session step of MI program is a prelude that makes concrete goal like first interview. The Second step is a transition that can concretely express about client's story. The third step is induction and music listening. And it helps to associate imagery more easily by used tension relaxation. Also it can search and associate about various imagery from the music. The last step is process that process drawing imagery, talking about personal imagery experience in common with therapist that bring the power by expansion the positive experience. Client A case targets rapport forming(empathy, understanding and support), searching positive recourse(child hood, family), client's emotion and positive support. Music must be used simple tone, repetition melody, steady rhythm and organized by harmony music of what therapist and client's preference. The client used defense mechanism and couldn't control emotion by depression in 1 & 2 sessions. But the result was client A could experience about support and understanding after 3 sessions. After session 4 the client had stable, changed to positive emotion from the negative emotion and found her spontaneous. Therefore, at the session 6, the client recognized that she will have step of positive time at the future. About client B, she established rapport forming(empathy, understanding and support) and searching issues and positive recognition(child hood, family), expression and insight(present, future). The music was comfortable, organizational at the session 1 & 2, but after session 3, its development was getting bigger and the main melody changed variation with high and low of tune. Also it used the classic and romantic music. The client avoids bad personal relations to religious relationship. But at the session 1 & 2, client had supportive experience and empathy because of her favorite, supportive music. After session 3, client B recognized and face to face the present issue. But she had avoidance and face to face of ambivalence. The client B had a experience about emotion change according depression and face to face client's issues After session 4. At the session 5 & 6, client tried to have will power of healthy life and fairly attitude, train mental power and solution attitude in the future. On this wise, MI program had actuality and clients' issues solution more than GIM program. MI can solute the issue by client's based issue without approach to unconsciousness like GIM. Especially it can use variety music and listening time is shorter than GIM and structuralize. Also can express client's emotion very well. So it can use corrective and complement MI program to children, adolescent and adult.

• Smart Media Journal
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• v.11 no.10
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• pp.65-75
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• 2022

Deep learning is used as a creative tool that could overcome the limitations of existing analysis models and generate various types of results such as text, image, and music. In this paper, we propose a method necessary to preprocess audio data using the Niko's MIDI Pack sound source file as a data set and to generate music using Bi-LSTM. Based on the generated root note, the hidden layers are composed of multi-layers to create a new note suitable for the musical composition, and an attention mechanism is applied to the output gate of the decoder to apply the weight of the factors that affect the data input from the encoder. Setting variables such as loss function and optimization method are applied as parameters for improving the LSTM model. The proposed model is a multi-channel Bi-LSTM with attention that applies notes pitch generated from separating treble clef and bass clef, length of notes, rests, length of rests, and chords to improve the efficiency and prediction of MIDI deep learning process. The results of the learning generate a sound that matches the development of music scale distinct from noise, and we are aiming to contribute to generating a harmonistic stable music.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.30 no.4
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• pp.275-281
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• 2019

A synthetic aperture radar(SAR) satellite is more effective than an optical satellite for target analysis because an SAR satellite can provide two-dimensional electromagnetic scattering distribution of a target during all-weather and day-and-night operations. To conduct target analysis while considering the earth observation interval of an SAR satellite, observing a specific area as wide as possible would be advantageous. However, wider the observation area, worse is the resolution of the associated SAR satellite image. Although conventional methods for improving the resolution of radar images can be employed for addressing this issue, few studies have been conducted for improving the resolution of SAR satellite images and analyzing the performance. Hence, in this study, the applicability of conventional methods to SAR satellite images is investigated. SAR target detection was first applied to Korea Multipurpose Satellite-5(KOMPSAT-5) SAR images provided by Korea Aerospace Research Institute for extracting target responses. Extrapolation, RELAX, and MUSIC algorithms were subsequently applied to the target responses for improving the resolution, and the corresponding performance was thereby analyzed.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.2
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• pp.223-234
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• 2008

This Study is designed to identify the appropriate fields of culture and art supporting activities in fashion business and to propose an effective culture and art strategy on establishment of positive fashion brand attitude. Subjects of this study were 242 young male and female consumers interested in fashion and culture marketing activities. Data were analyzed by using SPSS 12.0 with Independent-Sample T-Test, ANOVA, Duncan test. Also, we suggested the FBFit(Fashion Brand-Mecenat Fit) model by using Prefmap3. The results are as follows: First, it was revealed that culture art marketing activities such as a film, a popular music, a musical of the art and culture fields were important for maintaining the positive fashion brand image. Second, the consumer with recognition of culture and art supporting activities had a positive attitude on culture and art marketing of fashion brand. Third, FBFit model was revealed that there was a significant difference an appropriate culture and art fields for each fashion brand image. Therefore, each fashion brand has to select appropriate fields of culture and art marketing activities by considering their fashion brand image with a long term perspective.

• Proceedings of the Korea Contents Association Conference
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• 2003.11a
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• pp.493-496
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• 2003

An animation is synthesis art. It is very important to synchronize between background music and picture's image. In this animation, B.G.M. is not selected by picture's story to be an abstract images' animation produced with feelings of artist by B.G.M. It is necessary to study ＆ produce various experimental animation to educate in the original work & to develop the Korean animation industry at dept. of animation of University

• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.53-54
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• 2015

Optical music recognition (OMR) systems have been developed in recent years. However, chord symbols that play a role in a music sheet have been still disregarded. Therefore, we aimed to develop a proper approach to recognize these chord symbols. First, we divide the image of chord symbol into small segments in horizontal by a method based on vertical projection. Then, the optimal combination of these segments is found by using a lexicon-driven word scoring technique and a nearest neighbor classifier. The word that corresponds to the optimal combination is the result of recognition. The experiment gives an impressive result with accuracy 97.32%.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2005.11a
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• pp.682-685
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• 2005

In this research, how the evaluation of the spacial image influenced by the environmental friendly elements included in the visual information, and how the selection of the sound changed depending on the characteristics of spatial image by the 40 subjects were carried out. Vast tracts of green land and the waterfront were highly preferred and impressive than the other spaces. The green music, signal with water sound and bird chirping sound were highly scored. In the frequency characteristics of the factors, the first factor was artificial sound(high at the low frequency band), the second was natural sound(uniform at all frequency band) and the third was water sound(high at the middle and high frequency band over 500Hz). This shows that the proposal of the sound which has the frequency characteristics fit to the spacial image should be selected for the soundscape of the target space.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.152-164
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• 2022

This thesis explores the relationship between Dominic Cooke's film (2017) and classical music. To analyze the relationship, researchers applied precedent research to the study. The relationship between the final scene of the movie King's Speech (2010) and the volume and instrumental changes of the Beethoven Symphony is analyzed by David Bashwiner, and Soohwan Ahn analyzed semantic association between the hotel conversation scene in a and Debussy's Arabesque. In addition, the study of application of Schumann's Träumerei to films was used as a methodology to find out how extra-musical information build meaningful sonority. Mozart's K.593, Haydn's Op.77 No.1, and Schubert's D.810 were used in the movie . This study analyzed the functions of Mozart, Haydn, and Schubert's music in . In order to express the relationship between the characters and their inner intentions, this film utilized the relationship between instruments, musical information and non-musical information of the pieces. Through this study, it is analyzed that the information of classical music functions and the core information of the plot of the movie combine together to improve the understanding of narrative.

• Journal of Naturopathy
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• v.10 no.1
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• pp.1-9
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• 2021

Purpose: This study has proved the intervention effects of the proposed logotherapy-based music imagery (LBMI) program on the self-worth of the personal assistants for the disabled. The program, in the image activities and at the stage of postlude after listening to music, unites logodrama of logotherapy, paradoxical intention and dereflected techniques. The intervention effects of the LBMI program were tested for the 28 personal assistants for the disabled who found themselves without the value and meaning of life and were randomly equally divided into the experimental and control groups. This intervention was carried out for the six different terms, each of which was alloted 60 minutes. To evaluate the intervention effects, the self-worth scale were examined before and after the intervention for both experimental and control group. The result shows that the self-worth improved significantly in the experimental group(p < 0.001), whereas it remained unchanged in the control group(p > 0.459). This finding proves that the proposed LBMI program ameliorates the self-worth of the personal assistants for the disabled.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.1149-1154
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• 2006

증강현실 (AR: Augmented Reality)은 카메라를 통하여 현실의 공간에 가상의 물체를 삽입하는 기술로 사용자에게 컴퓨터상에서 정보를 보강해 줌으로서 사용자가 카메라로 보이는 환경에 대한 추가적인 정보를 취득 할 수 있게 해주는 분야이다. 가상환경(Virtual Reality) 및 혼합영상(Mixed Reality)을 이용해 보다 사실감 있는 가상의 영상을 일상 생활에 접목하려는 기술들이 부각되며 활발한 연구가 이루어 지고 있는데 이러한 시도는 일상생활의 다양한 분야에 적용이 되고 있다. 본 논문에서는 카메라로 취득된 화면상에 사용자의 움직임, 즉 사용자가 대상되는 마커를 삽입하고 컨트롤할 수 있는 음악플레이어를 구현한다. 사용자가 키보드나 마우스 등의 입력장치가 아닌 카메라에서 보여지는 마커의 움직임으로 원하는 음악을 플레이 할 수 있는 방법을 제안하고자 한다. 실시간으로 입력되는 카메라상의 프레임에서 대상되는 마커의 움직임을 찾고 그 대상물체 위에 정보를 증강시켜주고, 그 음악을 화면상에 사용자의 마커 움직임을 통해서 제어하는 방법이다.