• Title/Summary/Keyword: Applied Art

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Enhanced RBF Network by Using Auto- Turning Method of Learning Rate, Momentum and ART2

  • Kim, Kwang-baek;Moon, Jung-wook
    • Proceedings of the KAIS Fall Conference
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    • 2003.11a
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    • pp.84-87
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    • 2003
  • This paper proposes the enhanced REF network, which arbitrates learning rate and momentum dynamically by using the fuzzy system, to arbitrate the connected weight effectively between the middle layer of REF network and the output layer of REF network. ART2 is applied to as the learning structure between the input layer and the middle layer and the proposed auto-turning method of arbitrating the learning rate as the method of arbitrating the connected weight between the middle layer and the output layer. The enhancement of proposed method in terms of learning speed and convergence is verified as a result of comparing it with the conventional delta-bar-delta algorithm and the REF network on the basis of the ART2 to evaluate the efficiency of learning of the proposed method.

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A Study on Formative Characteristics of Digital Images: Focused on NFT Arts (디지털 이미지의 조형적 특성 연구: NFT 예술작품을 중심으로)

  • Kim, Hyesung
    • Journal of Information Technology Applications and Management
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    • v.29 no.2
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    • pp.1-15
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    • 2022
  • Image has more power in the 21st century than ever before. With the advance in technology and media, image is either made or received more easily and promptly using digital technology. Because of that, it has been hard for digital images to gain value as a work of art. But after NFT technology was developed and then applied to digital images, we have come to distinguish the original from the copy of it. People are trying various ways to allow digital images to be acknowledged as art, and changing the nature of digital images that makes new paradigms in the history of art. Through NFT artworks rising as a new style, this paper analyzed and investigated the new properties and changing characteristics of digital images in order to anticipate the characteristics of artworks that the public produces, enjoys, and consumes. This study is grounded on experimental analysis methods, and this author expects that it can contribute to figuring out which kinds of visual culture and artworks digital image is influencing currently from various perspectives.

Application of Finite Element Analysis for Structural Stability Evaluation of Modern and Contemporary Sculptures: 'Eve 58-1' by Man Lin Choi

  • Kwon, Hee Hong;Shin, Jeong Ah;Cho, Nam Chul
    • Journal of Conservation Science
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    • v.38 no.4
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    • pp.277-288
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    • 2022
  • 'Eve 58-1', the subject of this study is a statue made of plaster and its structural stability was evaluated by utilizing the CAE program in order to prevent the risk of damage arising from impact and vibration that are generated during the packaging and transportation process given its material characteristics. CAE is an abbreviation for Computer Applied Engineering for realization by predicting changes at the time of application of virtual physical energy. It is applied by reflecting the physical property conditions and each boundary condition of plaster, and the digital images of the internal and external structure of the work were acquired through 3D scanning and CT analysis for interpretation by executing finite element modeling. When acceleration is applied to the work in the direction of its own weight, the left-right side and the front-rear side, it was possible to confirm a maximum displacement value of 15.24 mm in the head section of the front-rear side direction that has been tilted by approximately 27° from the Y-axis and the largest stress value of 12.46 MPa was at the left ankle section. The corresponding results confirmed that the left ankle section is the most vulnerable area and the section for which precautions need to be exercised and supplemented at the time of transporting the work by means of objective values.

A Car License Plate Recognition Using Colors Information, Morphological Characteristic and Neural Network (컬러 정보 및 형태학적 특징과 신경망을 이용한 차량 번호판 인식)

  • Cho, Jae-Hyun;Yang, Hwang-Kyu
    • The Journal of the Korea institute of electronic communication sciences
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    • v.5 no.3
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    • pp.304-308
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    • 2010
  • In this paper, we propose a new method of recognizing the vehicle license plate using color space, morphological characteristics and ART2 algorithm. Morphological characteristics of old and/or new style vehicle license plate among the candidate regions are applied to remove noise areas using 8-directional contour tracking algorithm, then follow by the extraction of vehicle plate. From the extracted license plate area, plate morphological characteristics of each region are removed. After that, labeling algorithm to extract the individual characters are then combined. The classified individual character and numeric codes are applied to the ART2 algorithm for the learning and recognition. In order to evaluate the performance of our proposed extraction and recognition of vehicle license method, we have run experiments on 100 green plates and white plates. Experimental results shown that the proposed license plate extraction and recognition method was effective.

Recognition of Car License Plates Using Difference Operator and ART2 Algorithm (차 연산과 ART2 알고리즘을 이용한 차량 번호판 통합 인식)

  • Kim, Kwang-Baek;Kim, Seong-Hoon;Woo, Young-Woon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.11
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    • pp.2277-2282
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    • 2009
  • In this paper, we proposed a new recognition method can be used in application systems using morphological features, difference operators and ART2 algorithm. At first, edges are extracted from an acquired car image by a camera using difference operators and the image of extracted edges is binarized by a block binarization method. In order to extract license plate area, noise areas are eliminated by applying morphological features of new and existing types of license plate to the 8-directional edge tracking algorithm in the binarized image. After the extraction of license plate area, mean binarization and mini-max binarization methods are applied to the extracted license plate area in order to eliminated noises by morphological features of individual elements in the license plate area, and then each character is extracted and combined by Labeling algorithm. The extracted and combined characters(letter and number symbols) are recognized after the learning by ART2 algorithm. In order to evaluate the extraction and recognition performances of the proposed method, 200 vehicle license plate images (100 for green type and 100 for white type) are used for experiment, and the experimental results show the proposed method is effective.

A Study on Image Recognition using Enhanced ART1 Algorithm (개선된 ART1 알고리즘을 이용한 이미지 인식에 관한 연구)

  • 천두억;윤성호;김광백
    • Journal of the Korea Society of Computer and Information
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    • v.3 no.3
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    • pp.17-22
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    • 1998
  • As time goes on, that becomes an issue still more for truth from error of a seal in electronic settlement , or in important document in the field of image recognition. But on the other hand image treatment method of a seal have has the weakness until now. It makes indistinct distinction of part that light and darkness is changed sharply as the edge of things. So it has difficult that edge detection is extracted. In this paper, I investigated the pixel in a specific area by using enhanced smothing method and searched a value of frquent occurrence. The value of pixel is substituted and edge detection is extracted. After then it could be classified rightly according as viligence test is dynamically changed. I applied conventional of Yager's generated intersection operator among fuzzy logic operator in ART1 learning Algorithm. Application of suggested ART1 learning algorithm, it results in improved image recognition rate than a case of using the conventional ART1 algorithm

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The Expression of Materiality and Formlessness in Fine Art and Fashion (순수미술과 패션 속의 물질성의 표현과 무정형성 경향)

  • Yun, Su-Jeong;Kim, Min-Ja
    • Journal of the Korean Society of Costume
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    • v.57 no.6 s.115
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    • pp.122-134
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    • 2007
  • Fine art and fashion have influences on each other since both of them are the part of a culture. The similar patterns of fine art and fashion can be found either in the same period or in the different time. To find out this fact in the forms or content, this study researched into the fine art and fashion of 1960s and into recent year's fashion to see the revivals. In 1960s, fine art and fashion laid emphasis on the materiality of material itself, therefore both fine art and fashion have the tendency of formlessness and disorder in form. It ran be said that the socio-cultural background of this phenomenon in 1960s was mainly caused by the young generation called Hippies. They became a large influential social group that has a huge impact on overall culture in 1960s. As a result, this study firstly found that the fine art and fashion had common formative features and content in 1960s. Secondly, fashion since 1990 repeats the similar features in form like the Post-minimal tendency in fine art in 1960s. The similar features can be described as: artworks have the tendency of the formlessness and disorder in appearances; various materials were newly used to form a work, which had never been used in traditional artworks; new methods such as hanging, layering and knotting were applied to show the maximum expression of the materiality. However, unlike the fashion of 1960s, the Post-minimal tendency in fashion since 1990s doesn't symbolized freedom or peace, or opposition to the war anymore. Instead, only the formative elements were revived and reproduced and the formless tendency became one of the recent fashion trends.

An Effect of a Group Art Treatment Program on Isolated Children's Self-Concept and Adaptation to the School Life in Elementary School (집단미술치료프로그램이 초등학교 고립아동의 자아개념 및 학교생활적응에 미치는 효과)

  • Park, Bae-Hyang
    • The Korean Journal of Elementary Counseling
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    • v.4 no.1
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    • pp.85-98
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    • 2005
  • This study aimed at examining an effect of a group art treatment program on isolated children's self-concept and adaptation to the school life in an elementary school. To achieve this goal, the two hypotheses were made. Hypothesis 1. Children in the experimental group that participated in the group art treatment program will show more improvement in self-concept than those in the control group. Hypothesis 2. Children in the experimental group that participated in the group art treatment program will show more improvement in the ability to adapt themselves to the school life than those in the control group. To test the hypotheses, the socio-emotional isolation test developed by Heo Seung-hi (1993) was carried out with 120 third-graders at K elementary school in Busan; then, 24 isolated children (12 boys and 12 girls) at the upper 25 percent level were randomly sampled and assigned to each of experimental and control groups. The five-stage art treatment program as a reconstruction of the prior study to meet the goal of this study was provided to children in the experimental group at the researcher's classroom after school for 13 sessions, two sessions per week. The self-concept test manufactured by Song In-seop (1996), the school life adaptation test developed by Lee Yeong-seon (1997), and the experimental group's school life drawing (KSD) were used to test an effect of the program. For data analysis, two methods, a quantitative analysis of two tests and a qualitative analysis of KSD, were used. The findings were as follows: After implementing the art treatment program with the experimental group, there was significant improvement in all areas. This study concluded that if a group art treatment program is applied to elementary school practice, it will help isolated children improve their self-concept and ability to adapt themselves to the school life.

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The Identifier Recognition from Shipping Container Image by Using Contour Tracking and Self-Generation Supervised Learning Algorithm Based on Enhanced ART1 (윤곽선 추적과 개선된 ART1 기반 자가 생성 지도 학습 알고리즘을 이용한 운송 컨테이너 영상의 식별자 인식)

  • 김광백
    • Journal of Intelligence and Information Systems
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    • v.9 no.3
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    • pp.65-79
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    • 2003
  • In general, the extraction and recognition of identifier is very hard work, because the scale or location of identifier is not fixed-form. And, because the provided image is contained by camera, it has some noises. In this paper, we propose methods for automatic detecting edge using canny edge mask. After detecting edges, we extract regions of identifier by detected edge information's. In regions of identifier, we extract each identifier using contour tracking algorithm. The self-generation supervised learning algorithm is proposed for recognizing them, which has the algorithm of combining the enhanced ART1 and the supervised teaming method. The proposed method has applied to the container images. The extraction rate of identifier obtained by using contour tracking algorithm showed better results than that from the histogram method. Furthermore, the recognition rate of the self-generation supervised teaming method based on enhanced ART1 was improved much more than that of the self-generation supervised learning method based conventional ART1.

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The Effects of Emotional Labor and Job Exhaustion of Art Psychology Counselors on Life Satisfaction (예술 심리 상담사의 감정 노동 및 직무 소진이 삶의 만족에 미치는 영향)

  • Lee, EunSook;Ko, JeongHoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.4
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    • pp.206-211
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    • 2021
  • The purpose of this study is to understand the relationship between emotional labor, job burnout, and life satisfaction for art psychology counselors. The subjects were 225 art psychology counselors in ◯◯ City. As for the methods used, frequency analysis, reliability analysis, and correlation analysis were applied using SPSS 22.0, and multiple regression analysis was applied to causal relationships between variables. As a result of examining the effect on life satisfaction of emotional labor by art psychology counselors, surface behavior had a significant negative effect, while inner behavior also had a negative effect. Emotional exhaustion and a self-achievement decrease, which are sub-factors of job burnout for art psychology counselors, had a negative (-) effect on life satisfaction. This means that the lower the surface behavior of emotional labor by an art psychology counselor, the higher the inner behavior, and the lower the emotional exhaustion of job burnout and the lower the factor of self-achievement, the higher the life satisfaction. This study is considered to be basic data for the preparation of measures to reduce psychological burnout in art psychology counselors and can improve resilience in adaptation to the teaching profession.