• The Journal of the Korea Contents Association
• /
• v.3 no.2
• /
• pp.19-23
• /
• 2003

Neurons in the mammalian visual cortex can be dassified into the two main categories of simple cells and complex cells based on their response properties. Here, we find the complex features corresponding to the response of complex cells by applying the unsupervised independent component analysis network to input images. This result will be helpful to elucidate the information processing mechanism of neurons in primary visual cortex.

• Proceedings of the Korean Information Science Society Conference
• /
• 2003.10b
• /
• pp.595-597
• /
• 2003

오프라인 필기체 숫자 인식에서 다양한 변형을 잘 흡수 할 수 있는 효율적인 특징을 찾는 것은 중요한 일이며, 본 논문에서는 이를 위해 다양한 단일특징들을 구현 하였으며, 단일 특징만으로는 만족 할 만한 성능을 기대하기 어렵기 때문에 다양한 단일 특징을 복합특징으로 구성하였다. 또한 오프라인 필기체 숫자인식에서 좋은 성능을 발휘하는 것으로 알려진 신경회로망으로 학습을 하였으며, 인식의 성능을 개선시키기 위해 효과적인 특징을 조합하여 하나의 단일 신경회로망들을 구성하고 그것을 다시 복합신경회로망으로 구성하여 성능을 실험 함으로서 성능의 향상을 볼 수 있었고, 신경회로망에 더하여 성능을 개선시키기 위해 신경회로망을 보완 할 수 있는 다수결 투표 방법을 사용하였다. 본 논문에서는 신경회로망의 인식 결과를 비교 분석하여 최적의 특징을 찾아 낸 결과를 2차 다수결 투표를 사용하여 인식하는 방법을 제안한다. 제안된 방식의 성능을 검증하기 위해서 Concorida 대학교의 CENPARIMI 숫자 데이터 베이스를 가지고 인식을 수행 하였으며. 그 결과 97.40%의 정인식률과 0.75%의 오인식률 그리고 1.85%의 거부률을 보였다.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.14 no.12
• /
• pp.2761-2768
• /
• 2010

In this paper, we studied the use of the foreground and background features and SVM classifier to improve the accuracy of offline handwritten numeral recognition. The foreground features are two directional features: directional gradient feature by Kirsch operators and directional stroke feature by projection runlength, and the background feature is concavity feature which is extracted from the convex hull of the numeral, where concavity feature functions as complement to the directional features. During classification of the numeral, these three features are combined to obtain good discrimination power. The efficiency of our feature sets was tested by recognition experiments on the handwritten numeral database CENPARMI, where we used SVM with RBF kernel as a classifier. The experimental results showed that each combination of two or three features gave a better performance than a single feature. This means that each single feature works with a different discriminating power and cooperates with other features to enhance the recognition accuracy. By using the composite feature of the three features, we achieved a recognition rate of 98.90%.

• Journal of Korea Entertainment Industry Association
• /
• v.14 no.8
• /
• pp.163-174
• /
• 2020

The purpose of this study is to derive the characteristics of the creative process of convergence performing arts. Therefore, the PADAF-Play and Dance Art Festival, a representative convergence performing arts festival in Korea that has been held steadily every year since the first event in 2011, was selected as the subject of the study. Through PADAF, a representative convergence performing arts festival in Korea, qualitative case studies were selected through process-oriented discovery to study the characteristics of the creative process of convergence performing arts, which is a key feature of performing arts in the 21st century. For realistic and empirical research, the 8th and 9th PADAF participated in the entire process from the initial stage of preparation to the closing ceremony and conducted several in-depth interviews with PADAF officials and participating artists. Looking at the characteristics of the convergence performance art creation process through PADAF, creators overcame difficulties that they had not thought of in different ways in the process of meeting different heterogeneous genres, but through understanding other genres, experiential values through convergence, sharing as collaborators, and various ways of communication. The characteristics of the convergence performing arts creation process, which is focused on PADAF, are "Rhizom thinking" by French philosopher Gilles Deleuze(1925-1995), "Collective intelligence," and "Experimental Value for Experimental Creation" by creators. Through this derivation, we will help the changing performing arts scene based on the basic human desire to understand convergence performance art a little more and communicate through the extended expression of convergence.

• Proceedings of the Korea Contents Association Conference
• /
• 2003.05a
• /
• pp.351-355
• /
• 2003

Neurons in the mammalian visual cortex can be classified into the two main categories of simple cells and complex cells based on their response properties. Here, we find the complex features corresponding to the response of complex cells by applying the unsupervised independent component analysis network to input images. This result will be helpful to elucidate the information processing mechanism of neurons in primary visual cortex.

• Journal of the Korea Society of Computer and Information
• /
• v.5 no.2
• /
• pp.22-29
• /
• 2000

The purpose of this paper is to propose a method to maximize a content-based image retrieval efficiency in multiple images. To perform an image retrieval job efficiently, it is necessary to minimize the number of candidate-images. Furthermore, a miximum efficiency of image retrieval could not be expected if an image retrieval job in the multiple images is done on the basis of patterns of single image distinctive features. In this method, a multiple SOFM neural network system is adopted to select automatically distinctive feature patterns which have a maximum efficiency of image retrieval in the multiple images. In this method. an image retrieval efficiency is improved 3% than individual features and the number of candidate-images is reduced by the multiple SOFM neural network system.

• Journal of the Speleological Society of Korea
• /
• no.49
• /
• pp.31-43
• /
• 1997

현대인들은 다양한 관광과 여가의 개념을 갖고 있기 때문에, 주말이면 각 고속도로의 톨게이트는 상ㆍ 하행선이 번갈아 복잡해지는 현실에 처해 있다. 또한 관광의 개념도 바뀌어져 새로운 복합적 관광자원을 관광의 대상으로 삼고 있다. 따라서 이런 복합적인 기능을 가진 관광자원인 동굴의 가치를 살펴보는 것이 본 연구의 목적이다. 연구 결과 동굴은 자연 관광자원과 인문 관광자원으로서의 특징을 모두 갖춘 복합적 경관을 갖고 있기 때문에 ‘복합 관광자원’ 으로서의 구분할 수 있다. 이런 동굴의 특징은 예술성(지하 경관의 신비성), 종교성(원시종교의 유적성), 유용성(동굴 탐험장ㆍ 핵 폐기물 처리장), 학문성(지구과학ㆍ동굴학ㆍ관광학)으로 요약할 수 있다.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.9 no.5
• /
• pp.517-525
• /
• 1999

In this paper, we propose efficient total recognition system of handwritten and printed numerals for reducing the classification time. The proposed system consists of two-step neuroclassifier : Printed numerals classifier and handwritten numerals classifier. In the proposed scheme, the printed numerals classifier classifies the printed numerals rapidly with single MLP neural network by low-order feature vector and rejects handwritten numerals. The handwritten numerals classifier classifies the handwritten numerals which is rejected in printed numerals classifier with modularized cluster neural network by complex feature vector. In order to verify the performance of the proposed method,handwritten numerals database of NIST and printed numerals database which include various fonts are used in the experiments. In case of using the proposed classifier, the overall classification time was reduced by 49.1% - 65.5% in comparison of the existent handwritten classifier.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.5 no.1
• /
• pp.14-22
• /
• 2001

Off-line handwritten numeral recognition is a very difficult task and hard to achieve high recognition results using a single feature and a single classifier, since handwritten numerals contain many pattern variations which mostly depend upon individual writing styles. In this paper, we propose handwritten numeral recognition system using hybrid features and combined classifier. To improve recognition rate, we select mutually helpful features -directional features, crossing point feature and mesh features- and make throe new hybrid feature sets by using these features. These hybrid feature sets hold the local and global characteristics of input numeral images. And we implement combined classifier by combining three neural network classifiers to achieve high recognition rate, where fuzzy integral is used for multiple network fusion. In order to verify the performance of the proposed recognition system, experiments with the unconstrained handwritten numeral database of Concordia University, Canada were performed. As a result, our method has produced 97.85% of the recognition rate.

• Composites Research
• /
• v.15 no.6
• /
• pp.59-65
• /
• 2002