• Journal of the Korean Institute of Intelligent Systems
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• v.6 no.4
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• pp.61-70
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• 1996

This paper deals with consciousn~s structure by means of human subjective judgement. Fuzzy structural modeling which is a modeling method for consciousness structure have the large number of pairwise comparigon by human subjective judgement, is difficplt to check the consistency index which denotes the precision for human judgement. To improve these points, we set the structure of consciousness by fuzzy structural modeling method using the concept of pairwise compariqon matrix in AHP. The efficiency of this method is showed by means of the consciousness structure graph to the qyality system construction.

• Proceedings of the Korean Society for Cognitive Science Conference
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• 2000.05a
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• pp.311-321
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• 2000

본 논문에서는 정신분석과 두 종류의 정서이론, 인공지능과 신경회로망 그리고 퍼지 페트리 네트 등을 사용하여 사람의 인지과정을 모방한 인지모형시스템을 개발하였다. 먼저 프로이트의 정신분석을 사용하여 정신의 구조를 그래프로 표현한 후 이것을 '마음의 지도'라 명명하였다. 인지모형시스템을 구현하기 위한 첫 번째 작업으로 동적인 추론을 할 수 있는 지능 모델인 KNBN(Kohonen Network based Belief Network)을 제안하였다. KNBN으로 표현한 마음의 약도 내에서 연결강도 값으로 사용할 상대적 데이터를 만들기 위한 근거로서는 '정서'를 사용하였는데, 플라칙의 진화론에 근거한 정서이론과 오토니의 인지적 정서이론을 결합하여 데이터로 만든후 이 수치를 연결강도로 사용하였다. 이 두 개의 정서이론을 결합하는 알고리즘을 만들기 위해 페트리네트를 변형한 퍼지 페트리네트를 제안하였다. 또한 오토니가 주장하는 정서의 인지구조를 사람들이 그대로 이해하는지 여부를 알기 위해 대학생 100명을 대상으로 설문지를 사용해 정서의 인지구조에 대해 조사하였고 그 결과 값에 근거하여 두 개의 정서이론 결합 알고리즘을 만들었다. 이것으로 정서 발화에 대한 상대적인 수치가 산출되었고, 이것을 KNBN으로 표현한 마음의 약도에 결합하기 위해 0과 1사이의 수치로 정규화 하였다. 이렇게 정규화된 데이터를 이용해 인지 모형 시스템을 개발하였다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1995.10b
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• pp.273-278
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• 1995

In this paper, we propose "a graph structured fuzzy system" which is able to represent the fuzzy system with a graph and optimizes the fuzzy membership functions and fuzzy rule bases using genetic algorithms. It performs the structure identification phase and parameter tuning phase simultancously through the evolutionary process. Additionally, it alleviates some of the drawbacks associated with the current fuzzy construction method with respect to the explosive increase of fuzzy rules which is inevitably encountered whenever the fuzzy systems are applied to problems with the high-dimensional input space.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.6
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• pp.2785-2792
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• 2011

Such problems as delay, congestion, and crosstalk in the proxy system degrade not only QoS (Quality of Service) but responsiveness and reliability of the streaming media service. To solve this problem this paper proposed a FRTP (Fuzzy Relevance-based Transcoding Proxy) mechanism. The proposed FRTP mechanism analyzes fuzzy similarity for partitioned segment versions of media objects to create a FRTG (Fuzzy Relevance-based Transcoding Graph). Created FRTG determines the transcoding for partitioned media object segment versions. Determined transcoding improves DSR (Delay Saving Ratios), CHPR (Cache Hit Precision Ratio), and CHRR (Cache Hit Recall Ratio). The proposed mechanism is simulated to evaluate such performance parameters as DSR, CHPR, and CHRR. Simulation results shows that the proposed mechanism outperforms in DSR, CHPR and CHRR compared with the other existing mechanisms.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.9
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• pp.76-84
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• 2012

Visualizations have played an important role in understanding new insights of users of social network for social network analysis. Most of the previous works of visualization focus on representing user's relationship on social network by a complex multi dimension graph. However, this method is difficult to identify the important of relationship to focus on personal user intuitively. Besides, the user's messages to reflect the interrelation between users is insufficient, since most of visualization methods represent the user relationship using information of interaction between nodes on networks. In order to resolve above problem, this paper proposes a new visualization method to visualize user based hierarchy that uses internal relationship of users by fuzzy relational product and external access information of network.

• Journal of IKEEE
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• v.5 no.2 s.9
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• pp.190-200
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• 2001

This paper is addressed to welding defect feature vector selection and implementation method of welding defect classifier using fuzzy techniques. We compare IAV, zero-crossing number as time domain analysis, power spectrum coefficient as frequency domain, histogram as both domain for welding defect feature selection. We choose histogram as feature vector by graph analysis and find out that maximum frequent occurrence number and section of corresponding signal scale in relative histogram show obvious difference between normal welding and voiding with penetration depth defect. We implement a fuzzy welding defect classifier using these feature vector, test it to verify its effectiveness for 695 welding data frame which consist of 4000 sampled data. As result of test, correct classification rate is 92.96%. Lab experimental results show a effectiveness of fuzzy welding defect classifier using relative histogram for practical Laser welding monitoring system in industry.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.2
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• pp.147-157
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• 2017

In recent years, Super-pixels have become very popular for use in computer vision applications. Super-pixel algorithm transforms pixels into perceptually feasible regions to reduce stiff features of grid pixel. In particular, super-pixels are useful to depth estimation, skeleton works, body labeling, and feature localization, etc. But, it is not easy to generate a good super-pixel partition for doing these tasks. Especially, super-pixels do not satisfy more meaningful features in view of the gestalt aspects such as non-sum, continuation, closure, perceptual constancy. In this paper, we suggest an advanced algorithm which combines simple linear iterative clustering with fuzzy clustering concepts. Simple linear iterative clustering technique has high adherence to image boundaries, speed, memory efficient than conventional methods. But, it does not suggest good compact and regular property to the super-pixel shapes in context of gestalt aspects. Fuzzy similarity measures provide a reasonable graph in view of bounded size and few neighbors. Thus, more compact and regular pixels are obtained, and can extract locally relevant features. Simulation shows that fuzzy similarity based super-pixel building represents natural features as the manner in which humans decompose images.

• Korean Journal of Remote Sensing
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• v.21 no.2
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• pp.99-111
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• 2005

A fuzzy logic based data integration was applied for geothermal potential mapping in Jeju Island. Several data sets, such as geological map, the density of drainage system, the distribution density of cinder cones, density of lineaments, aerial survey map for total magnetic intensity and total gamma ray, were collected as thematic map for the integration. Fuzzy membership function for all thematic maps were compared to the locations of the spa, which were used as ground-truth control points. The older geology, the lower density of drainage, cinder cones and lineaments, and the lower intensity of magnetic and gamma ray were showed the higher fuzzy membership function values, respectively. After integrating all thematic maps, the results of gamma operator with the gamma value of 0.75 was the highest success rate, and new geothermal potential zone is prospected in western north part of Jeju Island.

• Economic and Environmental Geology
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• v.50 no.3
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• pp.195-214
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• 2017

Statistical landslide susceptibility analysis, which is widely used among various landslide susceptibility analysis approaches, predicts the unstable area by analyzing statistical relationship between landslide occurrence locations and landslide controlling factors. However, uncertainties are involved in the procedures of the susceptibility analysis and therefore, fuzzy approach has been used to deal properly with uncertainties. The fuzzy approach used fuzzy set theory and fuzzy membership function to quantify uncertainties involved in landslide controlling factors. Various fuzzy approaches were suggested in the procedure of the membership value determination and fuzzy operation in the previous researches. However, few studies were carried out to compare the analysis results obtained from various approaches for membership function determination and fuzzy operation. Therefore, in this study, the authors selected Jinbu area, which a large number of landslides were occurred at in 2006, to apply two most commonly used methods, the frequency ratio and the cosine amplitude method to derive membership values for each controlling factor. In addition, the integration of different thematic layers to produce landslide susceptibility map was performed by several fuzzy operators such as AND, OR, algebraic product, algebraic sum and Gamma operator. The results of the landslide susceptibility analysis using two different methods for the determination of fuzzy membership values and various fuzzy operators were compared on the basis of ROC graph to check the feasibility of the fuzzy based landslide susceptibility analysis.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.11a
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• pp.343-348
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• 2004

Since the destruction of World Trade Center the attention of the united States and the wider international community has focussed upon the need to strengthen security and prevent terrorism. This paper suggests an analysis prior to risk factor and structure for anti-terrorism in the korean maritime society. For this, in this paper, maritime terror risk factor was extracted by type and case of terror using brainstorming method. Also, risk factor is structured by FSM method and analyzed for ranking of each risk factor by AHP. At the result, the evaluation of risk factor is especially over maximum factor for related external impact.