• 전자공학회논문지B
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• 제32B권3호
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• pp.57-65
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• 1995

This paper presents a new classified vector quantization (VQ) technique using a neural network model in the transform domain. Prior to designing a codebook, the proposed approach extracts class features from a set of images using self-organizing feature map (SOFM) that has the pattern recognition characteristics and the same as VQ objective. Since we extract the class features from the training images unlike previous approaches, the reconstructed image quality is improved. Moreover, exploiting the adaptivity of the neural network model makes our approach be easily applied to designing a new vector quantizer when the processed image characteristics are changed. After the generalized BFOS algorithm allocates the given bits to each class, codebooks of each class are also generated using SOFM for the maximal reconstructed image quality. In experimental results using monochromatic images, we obtained a good visual quality in the reconstructed image. Also, PSNR is comparable to that of other classified VQ technique and is higher than that of JPEG baseline system.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2007년도 학술발표회 논문집
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• pp.1427-1431
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• 2007

In this study, the new methodology which combines Kohonen self-organizing map(KSOM) neural networks model and the conventional neural networks models such as feedforward neural networks model and generalized neural networks model is introduced to forecast flood stage in Nakdong river, Republic of Korea. It is possible to train without output data in KSOM neural networks model. KSOM neural networks model is used to classify the input data before it combines with the conventional neural networks model. Four types of models such as SOM-FFNNM-BP, SOM-GRNNM-GA, FFNNM-BP, and GRNNM-GA are used to train and test performances respectively. From the statistical analysis for training and testing performances, SOM-GRNNM-GA shows the best results compared with the other models such as SOM-FFNNM-BP, FFNNM-BP, and GRNNM-GA and FFNNM-BP shows vice-versa. From this study, we can suggest the new methodology to forecast flood stage and construct flood warning system in river basin.

• 전자공학회논문지B
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• 제29B권9호
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• pp.76-87
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• 1992

A novel self-organizing fuzzy plus PD control algorithm is proposed, where the proposed controller consists of a typical fuzzy reasoning part and self organizing part in which both on-line and off-line algorithms are employed to modify the Look-Up Table(LUT) for the fuzzy control rules and to decide how much fuzzy rules are to be modifid after evaluating the control performance, respectively. And the fuzzy controller is replaced by a PD controller in a prespecified region nearby the set point for good settling actions, where gain parameters are determined by fuzzy rules based on the magnitude of error velocity at the instant when the output penetrates into the prespecified region. To show the effectiveness of the proposed controller, extensive computer simulation results as well as experimental results are illustrated for an inverted pendulum system.

• 한국실내디자인학회논문집
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• 제23권1호
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• pp.114-121
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• 2014

Rikyu-Konomi and Enshu-Konomi accomplished the base of Japanese Dado as well as has set Japanese representative traditional culture. These are the products of the spiritual culture completed by the ideas of Sen Rikyu and Kobori Enshu, that are Wabi spirit and Kirei sabi spirit combined with the tea. This study is about the interpretation of Japanese traditional space designs related to Rikyu-Konomi and Enshu-Konomi as Japanese Traditional spiritual archetype. The process of this study is illustrated as follows: At first, it mentions the concept of Konomi as self-organizing system, and esthetic characteristics of Rikyu-Konomi and Enshu-Konomi. Secondly, it clarifies internal meanings and spacial characters of Konomi in the Japanese traditional space through the exploring Taian tea house as the example of Rikyu-Konomi, and Bosen tearoom and Katsurarikyu as the examples of Enshu-Konomi. Thirdly, it ascertains Rikyu-Konomi and Enshu-Konomi represented in the contemporary architectural spaces. It analyses the relation between modern traditional space designs and traditional archetypal vocabularies, and examines those spaces from an esthetic point of view for modern implication of Rikyu-Konomi and Enshu-Konomi. In conclusion, it clarifies the contemporary significance of Rikyu-Konomi and Enshu-Konomi in terms of japan traditional space design.

• 전자공학회논문지B
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• 제31B권1호
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• pp.34-40
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• 1994

The design and implementation of a fuzzy self-organizing controller for an environmental temperature chamber is discussed. The chamber is a non-linear, time-variant system with delay-time and dead-time. And the parameter tuning is required in PI control when the performance degraded. However the proposed fuzzy-SOC monitors the performance of the process. modifies the data base, and performs the delay-time compensation based on the idealized process model. A series of experiments was performed for the conventional PI and the fuzzy-SOC. These experimental results show the usefulness of the fuzzy-SOC.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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• pp.408-411
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• 1993

In this paper, we propose the Fuzzy Neural Controller with a Self-Organizing Map based on the fuzzy relation neuron. The fuzzy ndes expressing the input-output relation of the system are obtained by using the fuzzy relation neuron and updated automatically by means of the generalized delta rule. Also, the proposed method has a capability to express the knowledge acquired from the input-output data in form of fuzzy inferences rules. The learning algorithm of this fuzzy relation neuron is described. The effectiveness of the proposed fuzzy neural controller is illustrated by applying it to a number of test data sets.

• 한국통신학회논문지
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• 제37B권9호
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• pp.741-749
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• 2012

항해 중인 선박과 육상기지국간에 VHF 대역을 통해 다중-홉 데이터 통신을 수행하기 위해 애드-혹 자율 구성 TDMA (Ad Hoc Self-Organizing TDMA: ASO-TDMA) 방식이 제안된 바 있으며, 이를 통해 해로를 따라 넓은 영역에 걸쳐 항해 중인 선박들이 분산적으로 무선 자원을 공유하면서 다중-홉 애드-혹 네트워크를 구성할 수 있다. 본 논문에서는 마코프 체인 모델을 기반으로 ASO-TDMA 방식 매체접근제어 프로토콜의 평균 수율 성능을 분석한다. 또한, 모의실험을 통해 수학적 분석 결과를 검증하고, 각 홉 영역에서 부프레임의 크기와 선박의 수에 따라 수율을 최대화하기 위한 최적의 전송률이 존재함을 보인다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2010년도 추계학술대회 논문집
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• pp.305-306
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• 2010

• 컴퓨터교육학회논문지
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• 제9권5호
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• pp.77-84
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• 2006

본 논문에서는 HVS(Human Visual System)와 신경회로망 중 SOM(Self-Organizing Map)을 이용하여 DWT 영역에서 영상에 적응적인 워터마킹 알고리즘을 제안한다. HVS는 brightness sensitivity와 texture sensitivity의 두가지 특성으로 설명될 수 있다. SOM은 영상의 지역적인 특징들을 얻는데 사용된다. 따라서 HVS와 SOM을 이용하여 삽입되는 워터마크의 최적의 강도와 길이를 결정한다. 실험을 통해 제안한 방법이 최적의 워터마크 강도와 길이를 제공하며 비가시성 테스트에서 우수함과 다양한 공격에 강인함을 알 수 있다.

• 한국통신학회논문지
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• 제39B권5호
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• pp.260-270
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• 2014

본 논문은 VHF 대역을 사용하는 다중-홉 해양통신망에서 실시간 서비스를 제공하기 위해 제안된 DSTS(Dynamic Space-Time Subframe)기반 프레임 구조에서 다수의 MAC PDU로 구성된 데이터를 ASO-TDMA 전송 방식을 사용했을 때 발생되는 지연시간의 분포를 수학적으로 분석하고, 그 성능을 시뮬레이션을 통해 확인한다. 또한, 기존 전송방식에서 발생되는 지연시간을 단축시키는 동시에 시스템의 수율을 최대화하기 위한 연속적인 자원 할당 방식과 적응적 전송 확률 제어 방식을 제안하고, 기존 방식과 수율 성능을 비교한다. 이를 통해 본 논문에서 제안하는 방식은 DSTS 프레임 구조에서 다수의 MAC PDU에 대해서도 실시간 전송이 가능하고, 또한 수율 성능을 극대화할 수 있음을 보인다.