• The KIPS Transactions:PartB
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• v.14B no.4
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• pp.281-286
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• 2007

This paper proposes an intelligent context awareness middleware(ICAM) for Ubiquitous Computing Environment. In this paper we have researched about the context awareness middleware. The ICAM model is based on ontology that efficiently manages analyses and learns about various context information and can provide intelligent services that satisfy the human requirements. Therefore, various intelligent services will improve user's life environment. We also describe the current implementation of the ICAM for service adaptation based on fuzzy inference that help applications to adapt their ubiquitous computing environments according to rapidly changing. For this, after defining the requirements specifications of ICAM, we have researched the inferred processes for the higher level of context awareness. The Fuzzy Theory has been used in process of inferences, and showed constructing the model through the service process. Also, the proposed fuzzy inferences has been applied to smart Jacky, and after inferring the fuzzy values according to the change of temperature, showed the adaptability of Smart Jacky according to the change of surroundings like temperature as showing the optimal value of status.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.8
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• pp.1698-1706
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• 1997

In this paper, we envisioned a multimedia object recognition system processing and combinig information from all available sources, such as 2-D, 3-D, color and sound data. Out of the overall system, we proposed 3-D information extraction and object recognition methods. Firstly, surfaces are classified by z-gradient from the range data, surface features are extracted using the intersection of normal vectors. Also feature relationship such as intersection angle and distance is established between the surfaces. Secondly, recognition is accomplished by matching process which is improtant step in the image understanding systems. Matching process is very improtant procedures because of more general and more efficient method is needed in the field of multimedia sytem. Therefore, we focused the proposal of matching process and in this article, first of all, we deal with the matching process of the 3-D object. Similarity measures are calculated.

• Journal of Korea Water Resources Association
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• v.44 no.11
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• pp.903-913
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• 2011

In this paper important factors in determining improvement priorities for water pipes were categorized into the effects of a pipe failure to entire pipe network and the characteristics of individual pipe. Subsequently, mathematical models that can quantify these factors were developed using the Fuzzy techniques. The effects of a pipe failure to entire pipe network and the characteristics of individual pipe that were estimated byFuzzy techniques were coined as Fuzzy Importance Index and Fuzzy Characteristic Index, respectively. The Fuzzy Characteristic Index was further categorized into Fuzzy Deterioration Index and Fuzzy Difficulty Index. Considerations were given to applying weights to specific factors in the developed model depending on the circumstances of model applications. To provide an example of the methodology an example pipe network, Net3, of the EPANET program was used. The Fuzzy Importance Index (FII) and Fuzzy Deterioration Index (FDI) were calculated for the Net3 network by considering the hydraulic effects of a pipe failure on the entire pipe network and the pipe deterioration as one of the individual pipe characteristics. Subsequently, the improvement priorities of the pipes in the Net3 pipe network were established based on the FII and FDI.

• Journal of the Korean Institute of Intelligent Systems
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• v.6 no.3
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• pp.25-36
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• 1996

Conventional radial-basis-function networks and fuzzy systems have serious problems in dealing with the non1inea:r approximations on high-dimensional spaces due to the explosive increase of the number of hidden nodes or fuzzy IF-THEN rules. In order to avoid such problems, this paper proposes a tree-structured intelligent system in which semi-local basis functions form its basic elements, and develops a training algorithm for the proposed system based on the modified genetic algorithm and LMS rule. Theoretical analysis is performed on the approximation capability of the proposed system, together with experimental studies which demonstrate the effectiveness of the developed methodology.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.3
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• pp.57-66
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• 2011

The purpose of this study is to research into a method of selecting the subject parcel with a change in the category of land given surveying the land alteration state focusing on the present state of road in the government-owned and public land by using the fuzzy membership function and GIS spatial analysis. It selected the old town center of Incheon Jung-gu, and the new downtown & the forest land of Gyeyang-gu as the research subject region, and carried out GIS spatial analysis on a serial cadastral map, urban planning road layer of Korea Land Information System, practical width of road layer of Road Name Address Management System & cadastral data base, and then calculated the suitable index for the subject parcel with a change in the category of land by using the fuzzy membership function with having the critical value as the area ratio of each parcel on a serial cadastral map that was incorporated into road layer or practical width of road layer. It finally selected the parcel, which is different in land category from the real land usage, as the final subject parcel for altering land category, by using the screen of visualizing the suitable index and the aerial ortho photograph. As a result of the final selection, the fuzzy GIS spatial analysis method, which was suggested in this study, is judged to be efficient in the selection period and the methodology compared to the existing manual method. It could be confirmed to be more suitable method for downtown than forest land and for the new downtown than the old town center.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.11a
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• pp.328-332
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• 2007

본연구에서는 센서의 융합을 통하여 환경을 인식하며, 주변환경에 대한 지식을 갱신, 학습할수 있는 방법론을 연구하며, 동적인 장애물의 감지및 움직임 예측에 기반한 지능적 회피 알고리즘과 AHP를 이용한 Navigation Strategy수정과 이동 로봇 스스로 최적의 결과를 낼수 있게 개선 시키는 알고리즘을 구현한다. 그와 더불어 AHP를 이용하여 Navigation Performance를 최대로 높일 수 있는 방향을로 진화시키는 알고리즘을 구현한다. 또한 부여된 임무수행을 위한 목표물 추적을 위한 비전 시스템에서의 대상체 추출및 인식 알고리즘을 개발하며 인간뇌의 환경인식 체계와 유사한 방식의 Map building기법을 연구한다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10b
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• pp.310-312
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• 2001

본 연구에서는 정보시스템의 지능형 인터페이스를 위하여 사용자의 개인성을 학습하는 방법론으로서 신경망 이론의 활용가능성을 고찰한다. 입력형식의 유연성, 입력의 왜곡 및 소실가능성 등 시스템의 실용성과 연관하여 나타나는 자료의 특성을 수용하기 위하여, 학습과정에서 신호표현의 다양화와 부분 패턴의 의한 분류 기능 등을 개선한 신경망모델을 제안한다. 이를 위하여 퍼지 양방향 연상기억장치와 구간연산으로 일반화된 다층 신경망모델을 결합하여 혼합형 분류모형을 제시하고 그 유용성을 고찰한다. 실험은 전공분야 선택을 위한 개인의 적성분석시스템을 대상으로 구현하였다.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.06a
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• pp.465-474
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• 2001

미래의 시스템은 보다 동적이고 복잡한 환경에서 작동될 것으로 예측된다. 이러한 환경에서는 학습, 적응, 진화, 퍼지, 추론, 계획, 보안, 자기 조직화, 감성 등 소위 지능적 능력들이 필수적으로 요청된다. 본 논문에서는 생명체 패러다임 SAL(System As a Life)을 제안한다. SAL은 생명체 고유의 창발적 속성에 기반을 둔 시스템 설계 방법론으로 객체 패러다임을 확장한 구조를 갖는다. SAL 기반으로 시스템을 설계할 경우 상기의 지능적 능력들이 자연스럽게 구현될 수 있다.

• Journal of KIISE:Software and Applications
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• v.32 no.1
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• pp.1-9
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• 2005

In this paper we propose a modified fuzzy min-max neural network model for pattern classification and discuss the usefulness of the model. We define a new hypercube membership function which has a weight factor to each of the feature within a hyperbox. The weight factor makes it possible to consider the degree of relevance of each feature to a class during the classification process. Based on the proposed model, a knowledge extraction method is presented. In this method, a list of relevant features for a given class is extracted from the trained network using the hyperbox membership functions and connection weights. Ft)r this purpose we define a Relevance Factor that represents a degree of relevance of a feature to the given class and a similarity measure between fuzzy membership functions of the hyperboxes. Experimental results for the proposed methods and discussions are presented for the evaluation of the effectiveness and feasibility of the proposed methods.

• Journal of Intelligence and Information Systems
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• v.10 no.2
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• pp.91-109
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• 2004

This study investigates the effectiveness of a hybrid approach using fuzzy sets that describe approximate phenomena of the real world. Compared to the other existing techniques, the approach handles inexact knowledge in common linguistic terms as human reasoning does it. Integration of fuzzy sets with case-based reasoning (CBR) is important in that it helps to develop a successful system far dealing with vague and incomplete knowledge which statistically uses membership value of fuzzy sets in CBR. The preliminary results show that the accuracy of the integrated fuzzy-CBR approach proposed for this study is higher that of conventional techniques. Our proposed approach is applied to corporate bond rating of Korean companies.