• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.05a
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• pp.169-185
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• 2005

신경계의 뉴런 구조는 흥분 뉴런과 억제 뉴런으로 구성되며 각각의 흥분 뉴런과 억제 뉴런은 주동근 뉴런(agonistic neuron)에 의해 활성화되며 길항근 뉴런(antagonist neuron)에 의해 비활성화 된다. 본 논문에서는 인간 신경계의 생리학적 뉴런 구조를 분석하여 퍼지 논리를 이용한 생리학적 퍼지 신경망을 제안한다. 제안된 구조는 주동근 뉴런에 의해 흥분 뉴런이 될 수 있는 뉴런들을 선택하여 흥분시켜 출력층으로 전달하고 나머지 뉴런들을 억제시켜 출력층에 전달시키지 않는다. 신경계를 기반으로 한 제안된 생리학적 퍼지 신경망의 학습구조는 입력층, 학습 데이터의 특징을 분류하는 중간층, 그리고 출력층으로 구성된다. 제안된 퍼지 신경망의 학습 및 인식 성능을 평가하기 위해 정확성이 요구되는 의학의 한 분야인 기관지 편평암 영상인식과 영상 인식의 주요 응용 분야인 차량 번호판 인식에 적용하여 기존의 신경망과 성능을 비교 분석하였다. 실험 결과에서는 제안된 생리학적 퍼지 신경망이 기존의 신경망보다 학습 시간과 수렴성이 개선되었을 뿐만 아니라, 인식에 있어서도 우수한 성능이 있음을 확인하였다.

• Journal of Intelligence and Information Systems
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• v.11 no.2
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• pp.81-103
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• 2005

The Neuron structure in a nervous system consists of inhibitory neurons and excitory neurons. Both neurons are activated by agonistic neurons and inactivated by antagonist neurons. In this paper, we proposed a physiological fuzzy neural network by analyzing the physiological neuron structure in the nervous system. The proposed structure selectively activates the neurons which go through a state of excitement caused by agonistic neurons and also transmit the signal of these neurons to the output layers. The proposed physiological fuzzy neural networks based on the nervous system consists of a input player, and the hidden layer which classifies features of learning data, and output layer. The proposed fuzzy neural network is applied to recognize bronchial squamous cell carcinoma images and car plate images. The result of the experiments shows that the learning time, the convergence, and the recognition rate of the proposed physiological fuzzy neural networks outperform the conventional neural networks.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.5
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• pp.406-412
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• 2001

In this paper, a new fuzzy single layer learning algorithm is proposed, which shows improved learning time and convergence property than that of the conventional fuzzy single layer perceptron algorithms. First, we investigate the structure of physiological neurons of the nervous system and propose new neuron structures based on fuzzy logic. And by using the proposed fuzzy neuron structures, the model and learning algorithm of Physiological Fuzzy Single Layer Perceptron(P-FSLP) are proposed. For the evaluation of performance of the P-FSLP algorithm, we applied the conventional fuzzy single layer perceptron algorithms and the P-FSLP algorithm to three experiments including Exclusive OR problem, the 3-bit parity bit problem and the recognition of car licence plates, which is an application of image recognition, and evaluated the performance of the algorithms. The experimentation results showed that the proposed P-FSLP algorithm reduces the possibility of local minima more than the conventional fuzzy single layer perceptrons do, and enhances the time and convergence for learning. Furthermore, we found that the P-FSLP algorithm has the great capability for image recognition applications.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.05b
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• pp.536-540
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• 2003

최근에 개인의 경험을 통해 얻어지는 외부의 물리적 자극에 대한 복합적인 감성을 측성 및 분석하여 공학적으로 처리함으로서 인간이 보다 편리하고 안락한 생활을 영위하도록 하는 연구가 활발히 진행되고 있다. 본 논문에서는 색채 심리를 바탕으로 한 감성을 인식할 수 있는 생리학적 퍼지 신경망은 제안하였다. 본 논문에서 제안한 생리학적 퍼지 뉴런 구조를 기반으로 하여 입력층, 퍼지 귀속 시넵스(Fuzzy Membership Synapse) 및 출력층으로 구성되며 지도 학습(supervised learning)으로 동작된다. 제안된 생리학적 퍼지 신경망을 단일 색상 정보에 따른 감성 인식에 적용한 결과, 단일 색상 정보에 따른 감성 인식에 있어서 효율적임을 확인 할 수 있었다.

• The Journal of the Convergence on Culture Technology
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• v.1 no.1
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• pp.37-64
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• 2015

This technical research paper attempts to examine literature therapeutic significance of Sijo. This research analyzes how the therapeutic mechanisms of literature or sentence can be physiologically applied to human nerve system. To study such interactions between therapeutic mechanisms of literature and human physiological mechanisms, diverse on- and offline Sijo activities, such as a Facebook group "Sijoya Nolja", were studied, as well as various publications in literature and medicine. For the three years this research was being conducted, 27 out of 488 Sijo poets debuted through Sinchunmunye, and many have gone professional through various contests. 19 of them became members of Sijo Poet Associations of Korea, with globalization of Sijo in mind. Their aggressive activity proves that the quality of live was elevated through literature therapy. The therapeutic effects are especially dramatic for older authors, and authors with traumatic experience. Through this research, Sijo turned out to be a form of literature with the quickest effect on elevating quality of life. To solve problems such as depression, emotional isolation, and other mental conditions, literature therapy through Sijo should be implemented, and therapeutic approach of literature should be more professionalized.