• Title/Summary/Keyword: Enhanced ART1

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Collaboration with Stakeholders for Conservation of Contemporary Art

  • Kwon, Hee Hong;Lee, Gi Sun
    • Journal of Conservation Science
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    • v.36 no.1
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    • pp.37-46
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    • 2020
  • It is difficult to predict the kinds of damage to contemporary art because of the diversity of materials and experimental techniques used. This makes it hard to conserve. Furthermore, the artist's intention in contemporary art is emerging as one of the important issues to be handled in conservation treatment. Thus, collaboration with various stakeholders such as the artists themselves, bereaved family members, and foundations have become more important than ever from the viewpoint of planning conservation treatment. The trustworthiness of conservation treatment would be significantly enhanced if conservation treatment reflected the understanding and respect of not only the appearance of the work, but also the social/cultural context inherent in the work. This should be done, in particular, through collaboration with the artists. In this study, various case studies at home and abroad were analyzed as to explore collaboration methods with various stakeholders for objective and trustworthy conservation treatment. Along the way, the study raised the need to establish new conservation ethics for contemporary art. It is expected that the outcomes of the study could be used as basic material to preserve the originality of contemporary artwork and to set the direction for conservation practice.

ART1 Algorithm by Using Enhanced Similarity Test and Dynamical Vigilance Threshold (개선된 유사성 측정 방법과 동적인 경계 변수를 이용한 ART1 알고리즘)

  • 문정욱;김광백
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.6
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    • pp.1318-1324
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    • 2003
  • There are two problems in the conventional ART1 algorithm. One is in similarity testing method of the conventional ART1 between input patterns and stored patterns. The other is that vigilance threshold of conventional ART1 influences the number of clusters and the rate of recognition. In this paper, new similarity testing method and dynamical vigilance threshold method are proposed to solve these problems. The former is similarity test method using the rate of norm of exclusive-NOR between input patterns and stored patterns and the rate of nodes have equivalence value, and the latter method dynamically controls vigilance threshold to similarity using fuzzy operations and the sum operation of Yager. To check the performance of new methods, we used 26 alphabet characters and nosed characters. In experiment results, the proposed methods are better than the conventional methods in ART1, because the proposed methods are less sensitive than the conventional methods for initial vigilance and the recognition rate of the proposed methods is higher than that of the conventional methods.

Hybrid Neural Networks for Pattern Recognition

  • Kim, Kwang-Baek
    • Journal of information and communication convergence engineering
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    • v.9 no.6
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    • pp.637-640
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    • 2011
  • The hybrid neural networks have characteristics such as fast learning times, generality, and simplicity, and are mainly used to classify learning data and to model non-linear systems. The middle layer of a hybrid neural network clusters the learning vectors by grouping homogenous vectors in the same cluster. In the clustering procedure, the homogeneity between learning vectors is represented as the distance between the vectors. Therefore, if the distances between a learning vector and all vectors in a cluster are smaller than a given constant radius, the learning vector is added to the cluster. However, the usage of a constant radius in clustering is the primary source of errors and therefore decreases the recognition success rate. To improve the recognition success rate, we proposed the enhanced hybrid network that organizes the middle layer effectively by using the enhanced ART1 network adjusting the vigilance parameter dynamically according to the similarity between patterns. The results of experiments on a large number of calling card images showed that the proposed algorithm greatly improves the character extraction and recognition compared with conventional recognition algorithms.

An Enhanced Fuzzy ART Algorithm for Effective Image Recognition (효과적인 영상 인식을 위한 개선된 퍼지 ART 알고리즘)

  • Kim, Kwang-Baek;Park, Choong-Shik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.06a
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    • pp.262-267
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    • 2007
  • 퍼지 ART 알고리즘에서 경계 변수는 패턴들을 클러스터링하는데 있어서 반지름 값이 되며 임의의 패턴과 저장된 패턴과의 불일치(mismatch) 허용도를 결정한다. 이 경계 변수가 크면 입력 벡터와 기대 벡터 사이에 약간의 차이가 있어도 새로운 카테고리(category)로 분류하게 된다. 반대로 경계 변수가 작으면 입력 벡터와 기대 벡터 사이에 많은 차이가 있더라도 유사성이 인정되어 입력 벡터들을 대략적으로 분류한다. 따라서 영상 인식에 적용하기 위해서는 경험적으로 경계 변수를 설정해야 단점이 있다. 그리고 연결 가중치를 조정하는 과정에서 학습률의 설정에 따라 저장된 패턴들의 정보들이 손실되는 경우가 발생하여 인식율을 저하시킨다. 본 논문에서는 퍼지 ART 알고리즘의 문제점을 개선하기 위하여 퍼지 논리 접속 연산자를 이용하여 경계 변수를 동적으로 조정하고 저장 패턴들과 학습 패턴간의 실제적인 왜곡 정도를 충분히 고려하여 승자 노드로 선택된 빈도수를 학습률로 설정하여 가중치 조정에 적용한 개선된 퍼지 ART 알고리즘을 제안하였다. 제안된 방법의 성능을 확인하기 위해서 실제 영문 명함에서 추출한 영문자들을 대상으로 실험한 결과, 기존의 ART1과 ART2 알고리즘이나 퍼지 ART 알고리즘보다 클러스터의 수가 적게 생성되었고 인식 성능도 기존의 방법들보다 우수한 성능이 있음을 확인하였다.

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Exploration on the Development and Characteristics of Composites Painting in the Contemporary Art Ecology

  • Wang Jing Jing
    • International Journal of Advanced Culture Technology
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    • v.11 no.1
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    • pp.232-240
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    • 2023
  • The ecological expression of art in modern society takes the harmonious developmental relationship between man and nature as an element and combines it with the various manifestations of painting as an expression of ecological artistic development. The necessary relationship for the harmonious development of nature is accurately articulated, and the ecological changes in people are expressed in integrated materials that inspire human reflection. In the pursuit of material pleasures, mankind is neglectful and indifferent to the environment. The development of composite painting in art and ecology is a process that more reveres the harmony between man and nature as well as satisfying the creative value of the work. After systematic evaluation and research, people have engaged in various structural forms of composite art painting development in the long history of art development, focusing on the integration of environmental and ecological culture. In the process of nature education going through development, the comprehensive practical development of nature education is enhanced and efforts are made to feel new ecological art ideas and new ways of valuing environmental protection. In this paper, an observational study of eco-art will be carried out, starting from the theory of hierarchical division and analyzing the contradictory relationship between man and nature. Recognize nature, understand it and feel it through eco-art painting. The analysis of the contradictory relationship between man and nature is combined with the identification of various types of information that give value to the environmental protection public, and the combination of ecological painting and nature art to achieve an upgrade of the environmental protection idea of the value of painting. In the development of artistic ecological comprehensive painting, it is necessary to put forward technical requirements and standards that meet the development of modern industry according to the characteristics and methods of ecological painting. The author of this paper discusses the necessity and social value of artistic ecological painting creation from the artist's point of view, expounds the practical achievements of ecological painting from the perspective of the history and present situation of the development of ecological aesthetics at home and abroad, and gives the concept and creative method of contemporary art comprehensive material painting in combination with his own actual situation.

The Case Study of Contents Development for Online Museum Art Appreciation based on Smart Media (스마트 미디어 기반의 온라인 미술관 예술 감상 프로그램 콘텐츠 개발 사례 연구)

  • Yang, Yeon Kyoung
    • Journal of Information Technology Services
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    • v.16 no.1
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    • pp.139-162
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    • 2017
  • Museums contain a significant meaning as a place that reflects empirical knowledge that have been accumulated socially and scientifically in overall life of the public and provides the opportunity to enjoy prestigious culture, while serving as the extended place of education. The first objective of this study is to increase the accessibility of general public through the development of online museum programs as service contents and to present the ultimate direction the development of in art appreciation contents that can effectively expand the infrastructure of culture and art. Second, the effectiveness of online art appreciation programs by registered private museums, which continuously develop smart media-based online museum contents and systemization of archive as the distribution rate of smart devices is increased due to generalization of digital environments, was analyzed by each case to examine the objective distinctions strategies. Third, in terms of museum visitors and smart contents users, this study examines the expected effects of popular distribution by seeking various ways that can enhance the desired exhibit appreciation and autonomous utilization of educational programs, while not being restricted by the physical accessibility and limitation of space at the museums. The subjects of this study included cases of BoroomSan Museum, Savina Museum of Contemporary Art, Imageroot, Sangwon Museum of Art, Hello Museum, etc. and the online smarts contents art appreciation educational programs by registered private museums were analyzed. Results expected to achieve from such processes are as follows. First, the possibility to expand cultural participation in museum exhibition appreciation and museum education infrastructure became widen. Second, the educational program resources can be utilized as the culture and art asset that strengthens the museums' responsibilities in their social role. Third, museum archive can be constructed in more systematic way, and the efficiency of museum archive system can be enhanced to maintain the museum collection database in a consistent format. Fourth, the museum's smart contents users' continued access to museum's online contents may induce the exhibition effect of the site and voluntary participation in education, and can also expect an economic synergy effect as the users become potential visitors that may actually visit the museum in the future.

Enhanced Self-Generation Supervised Learning Alrorithm Using ARTI and Delta-Bar-Delta Method (ART1과 Delta-Bar-Delta 방법을 이용한 개선된 자가 생성 지도 학습 알고리즘)

  • 백인호;김태경;김광백
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09b
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    • pp.71-75
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    • 2003
  • 오류 역전파 학습 알고리즘을 이용하여 영상 인식에 적용 할 경우에는 은닉층의 노드 수를 경험적으로 설정하므로, 학습시간과 지역최소화 및 정체현상이 발생한다. 그리고 ARTI 알고리즘은 입력 패턴과 저장 패턴간의 측정 방법인 유사성 검증 방법과 경계 변수의 설정에 따라 인식률이 좌우된다. 경계 변수의 값이 크면 입력 패턴과 저장 패턴사이에 약간의 차이만 있어도 새로운 카테고리(Category)로 분류하고, 반대로 경계 변수의 값이 적으면 입력 패턴과 저장 패턴 사이에 많은 차이가 있더라도 유사성이 인정되어 입력 패턴들을 대략적으로 분류한다. 따라서 ART1 알고리즘을 영상 인식에 적용하기 위해서는 경계 변수를 경험적으로 설정하므로 인식률에 부정적인 영향을 갖는 문제점이 있다. 따라서 본 논문에서는 개선된 ART1 알고리즘과 지도 학습 방법을 결합하여 신경망의 은닉층 노드를 동적으로 변화시키는 자가 생성지도 학습 알고리즘을 제안한다. 제안된 신경망에서 입력층과 은닉층의 학습 구조에는 ART1 알고리즘을 개선하여 적용하고, 은닉층과 출력층의 학습 구조에는 은닉층에서 승자로 선택된 노드와 출력층 노드와 연결된 가중치만을 조정하고 Delta-Bar-Delta 알고리즘을 적용한다. 제안된 방법의 학습 성능을 분석하기 위하여 학생증 영상에서 추출한 학번 패턴 분류에 적용한 결과, 기존의 신경망 학습 알고리즘보다 학습 성능이 개선됨을 확인하였다.

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The Identifier Recognition from Shipping Container Image by Using Contour Tracking and Enhanced Neural Networks (윤곽선 추적과 개선된 신경망을 이용한 운송 컨테이너 영상의 식별자 인식)

  • 이혜현;김광백
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2002.05a
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    • pp.235-239
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    • 2002
  • 운송 컨테이너의 식별자를 추출하고 인식하는 것은 컨테이너 식별자들의 크기나 위치가 정형화되어 있지 않고 외부의 잡음으로 인하여 식별자의 형태가 훼손되어 있기 때문에 어렵다 된 논문에서는 이러한 특성을 고려하여 컨테이너 영상에 대해 Canny 마스크를 이용하여 에지를 검출하고, 검출된 에지 정보를 이용하여 수직 블록과 수평 블록을 추출하여 컨테이너의 식별자 영역을 추출한다. 추출된 컨테이너의 식별자 영역에서 히스토그램 방법과 윤곽선 추적 알고리즘을 이용하여 개별 식별자를 추출한다. 컨테이너의 개별 식별자 인식은 ART1을 개선하여 지도 학습 방법과 결합한 개선된 신경망을 제안하여 적용한다. 실험 결과에서는 제안된 컨테이너 식별자 추출 린 인식 방법이 다양한 컨테이너 영상에 대해 효율적인 것을 보인다.

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Enhanced Fuzzy Multi-Layer Perceptron

  • Kim, Kwang-Baek;Park, Choong-Sik;Abhjit Pandya
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2004.05a
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    • pp.1-5
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    • 2004
  • In this paper, we propose a novel approach for evolving the architecture of a multi-layer neural network. Our method uses combined ART1 algorithm and Max-Min neural network to self-generate nodes in the hidden layer. We have applied the. proposed method to the problem of recognizing ID number in student identity cards. Experimental results with a real database show that the proposed method has better performance than a conventional neural network.

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Public Art as Building Local Community : The Case of "The Rose of Sharon Blooms" in Daejeon (지역공동체를 만들기 위한 공공미술 연구 : 대전시 <무궁화 꽃이 피었습니다> 사례를 중심으로)

  • Kwon, Doowan;Chang, Woongjo
    • 지역과문화
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    • v.7 no.4
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    • pp.1-20
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    • 2020
  • The purpose of this study is to find methods for building the community in poor residential environments. We analyze the public art project, "The Rose of Sharon Blooms," in Daejeon. To understand the project we interviewed artists, curators, local residents, and visitors, about three aspects of public art: visuality, speciality, and communication with citizens. These stakeholder interviews yielded valuable knowledge and insights: First, artworks created from the residents' recycled junk effectively harmonizes and unifies the citizens and their environment. Second, managing a gallery in the neighborhood symbolically values and explicates the public art project and thus enhanced the local identity. Third, public workshops in the neighborhood provide a venue for local citizens to communicate with visitors about the public arts, which eventually led to the welcoming atmosphere of the community. However, we found relatively little awareness of the need for partnership aspects among our interviewees, which suggests the importance of ongoing cooperation with other arts institutions and researchers to build vital cultural linkages and introduce varied art forms.