• Title/Summary/Keyword: a fuzzy theory

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Intelligence E- Learning System (지능형 E-러닝 시스템)

  • Hong, You-Sik;Kim, Cheon-Shik;Yoon, Eun-Jun;Jung, Chang-Duk
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.1
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    • pp.137-144
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    • 2010
  • Cyber lectures have been popular with students as they are more accessible. In this thesis we also created a personal identification confirmation system with RFID as it is quite difficult to confirm who is taking a lecture. In the process of developing the confirmation system, an algorithm enabling real-time identification confirmation, as well as interactive virtual questioning system, was also developed. After the computer simulation test we proved the duplex on-line lecturing system is more effective than the current one-way cyber lecturing system which does not take into consideration students with less/no degree of understanding.

Intelligent information filtering using rough sets

  • Ratanapakdee, Tithiwat;Pinngern, Ouen
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.1302-1306
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    • 2004
  • This paper proposes a model for information filtering (IF) on the Web. The user information need is described into two levels in this model: profiles on category level, and Boolean queries on document level. To efficiently estimate the relevance between the user information need and documents by fuzzy, the user information need is treated as a rough set on the space of documents. The rough set decision theory is used to classify the new documents according to the user information need. In return for this, the new documents are divided into three parts: positive region, boundary region, and negative region. We modified user profile by the user's relevance feedback and discerning words in the documents. In experimental we compared the results of three methods, firstly is to search documents that are not passed the filtering system. Second, search documents that passed the filtering system. Lastly, search documents after modified user profile. The result from using these techniques can obtain higher precision.

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Integrated Storage Function Model with Fuzzy Control for Flood Forecasting (II) - Theory and Proposal of Model - (홍수예보를 위한 통합저류함수모형의 퍼지제어 (II) - 이론의 모형의 수립 -)

  • Lee, Jeong-Gyu;Kim, Han-Seop
    • Journal of Korea Water Resources Association
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    • v.33 no.6
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    • pp.701-709
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    • 2000
  • Integrated storage function model (ISFM) is applied to some rainfall-runoff events of the selected basins in Korea to show validity of the proposed model. Comparing the numerical results of the model with the field measurements, the simulated hydrographs and peak flood discharges for the most part showed good agreements, except the occurrence time of the peak discharges which showed a bit discrepancy, and they showed it was very hard to have a sufficient lead-time to forecast the flood when the upstream inflow of the channel reach was more dominant than the inflow from the residual watershed of the channel.hannel.

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Development of Arousal Level Estimation Algorithm by Membership Function and Dempster-Shafer′s Rule of Combination in Evidence (소속함수와 Dempster-Shafer 증거합 법칙을 이용한 긴장도 평가 알고리즘 개발)

  • 정순철
    • Science of Emotion and Sensibility
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    • v.5 no.1
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    • pp.17-24
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    • 2002
  • This research was the first step to develop Expert System for Evaluation of Human Sensibility, where human sensibility can be inferred from objective physiological signals. The study aim was to develop an algorithm in which human arousal level can be judged using measured physiological signals. Fuzzy theory was applied for mathematical handling of the ambiguity related to evaluation of human sensibility, and the degree of belonging to a certain sensibility dimension was quantified by membership function through which the sensibility evaluation was able to be done. Determining membership function was achieved using results from a physiological signal database of arousal/relaxation that was generated from imagination. To induce one final result (arousal level) based on measuring the results of more than 2 physiological signals and the membership function of each physiological signal, Dempster-Shafer's Rule of Combination in Evidence was applied, through which the final arousal level was inferred.

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Development of an Automatic Expert System for Human Sensibility Evaluation based on Physiological Signal (생리신호를 기반으로 한 자동 감성 평가 전문가 시스템의 개발)

  • Jeong, Sun-Cheol;Lee, Bong-Su;Min, Byeong-Chan
    • Journal of the Ergonomics Society of Korea
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    • v.23 no.1
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    • pp.1-12
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    • 2004
  • The purpose of this study was to develop an automatic expert system for the evaluation of human sensibility, where human sensibility can be inferred from objective physiological signals. The study aim was also to develop an algorithm in which human arousal and pleasant level can be judged by using measured physiological signals. Fuzzy theory was applied for mathematical handling of the ambiguity related to evaluation of human sensibility. and the degree of belonging to a certain sensibility dimension was quantified by membership function through which the sensibility evaluation was able to be done. Determining membership function was achieved using results from a physiological signal database of arousal/relaxation and pleasant/unpleasant that was generated from imagination. To induce one final result (arousal and pleasant level) based on measuring the results of more than 2 physiological signals and the membership function of each physiological signal. Dempster-Shafer's rule of combination in evidence was applied, through which the final arousal and pleasant level was inferred.

Bandwidth Reservation scheme Using Mobile Tracking (이동체 추적을 이용한 대역폭 예약 기법)

  • 정혜명
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.10A
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    • pp.1512-1520
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    • 2000
  • The wireless communication network is evolving toward IMT-2000 for providing various multimedia services. In order to accomplish this ultimate goal the effective schemes are required which can dynamically utilize the limited wireless resources based on different traffic characteristics of various services. This paper proposes a novel bandwidth allocation and call admission control scheme to transmit multimedia traffic based on the bandwidth reservation procedure using direction estimation in the IMT-2000 This scheme estimates the position of mobiles based on the mliticriteria decision making in which uncertain parameters such as RSS(Received Signal Strength), the distance between mobile and base station the moving direction and the previous location are participated in the decision process using aggregation function in fuzzy set theory. Its effectiveness is investigated by simulation.

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VRIO Model Based Enterprise Capability Assessment Framework for Plant Project (VRIO 모델 기반의 기업역량평가 프레임워크 제시에 관한 연구 - 플랜트 사업을 중심으로 -)

  • Min, Byeong Su;Min, Jang Hee;Jang, Woosik;Han, Seung-Heon;Kang, Sin Young
    • Korean Journal of Construction Engineering and Management
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    • v.17 no.3
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    • pp.61-70
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    • 2016
  • Construction enterprises have performed various projects such as buildings, infrastructure and plant projects in the international market. Among these, the plant project's amount of orders accounted for about 68.9% of all. However, because of the enterprises won a contract with a low-budget for plant project in the last 10 years, the profit has dropped dramatically. And it is forecasted that there are extreme competition for bid award of plant projects because of the current falling oil prices and raising interest rates. In this circumstance, the comprehending of enterprises strength and weakness must be a priority to get a sustainable competitive advantage. Therefore this research suggests the enterprises's capability assessment framework and it is in order to diagnose the korean construction enterprises capabilities. The framework is based on the VRIO model that is on the basis of resource based theory. First, the capability assessment indices and their importance and priority that based on the life-cycle of plant project is deducted by literature review and survey. Second, the 5 point likert score applied VRIO survey is conducted to diagnose the enterprises and quantified the survey result using the fuzzy theory. Lastly, the competitvie implication and capability assessment are deducted.

Decision Making of Improvement Priority by Deterioration Risk Assessment of Water Supply Infrastructures (물공급시설의 노후 위험도 평가를 통한 개선 우선순위 결정)

  • Chae, Soo-Kwon;Lee, Dae-Jong;Kim, Ju-Hwan
    • Journal of Environmental Impact Assessment
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    • v.18 no.6
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    • pp.367-376
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    • 2009
  • This paper proposes an application methodology of AHP(Analytic Hierarchy Process) based decision making theory for improvement priority by assessment of various risk factors affecting on deterioration of water supply systems, as major social infrastructure. AHP method is organized with three level of hierarchy which is introduced for multi-criteria decision making in this study. In the first level, assessment outputs are calculated by AHP for each affecting factor. In the second level, criteria are estimated by using assessment results with respect to structural and environmental factors. Consequently, ranking decision is performed in the third level. In order to present the effectiveness, a proposed method is compared with FCP(Fuzzy Composite Programming) for decision making. Since the results of the proposed method show better performance with consistent results, it can be applied as an efficient information for the determination for improvement priority of the study infrastructure.

Building of an Navigation Guiding System Using Fuzzy Theory (퍼지이론을 이용한 항해안내시스템의 구축)

  • Park Gyei-Kark;Hong Tae-Ho;Seo Ki-Yeol
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.3
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    • pp.369-374
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    • 2005
  • Currently, ECDIS and GPS plotters are much used as equipment providing operators with route information, but they do not have any function of automatic route creation and route explanation, so available for only experienced operators. Especially, the present situation is that no study is made of the automatic route creation and route explanation using ENC for ECDIS, substitution system of paper chart. ENC is the electronic navigation chart that is produced using S-52, 5-57 standard format required by IHO. In this paper, an Navigation Guiding System(NGS) is proposed to generate an optimal route where ENC and GPS data is fusioned including the wind direction and speed of an anemometer. The proposed system was testified by a simulation, and its effectiveness was verified.

A Study on The Automatic Map Building and Reliable Navigation of Combining Fuzzy Logic and Inference Theory (추론 이론과 퍼지 이론 결합에 의한 자율 이동 로봇의 지도 구축 및 안전한 네비게이션에 관한 연구)

  • Kim, Young-Chul;Cho, Sung-Bae;Oh, Sang-Rok;You, Bum-Jae
    • Proceedings of the KIEE Conference
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    • 2001.07d
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    • pp.2744-2746
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    • 2001
  • 이 논문에서는 이동 로봇을 위하여 퍼지이론과 Dempster-Shafer 이론을 이용한 불확실한 환경에서의 센서기반 네비게이션 방법을 제안한다. 제안된 제어기는 장애물 회피 동작과 목적지 찾기 동작을 위한 2개의 행동 모듈로 구성되어 있다. 2개의 행동 모듈은 각각 퍼지 이론으로 학습되었고, 적절한 행동 선택 방법으로 선택되게끔 하였다. 견고한 퍼지 제어기를 가진 로봇이 실험 환경내에서 안전하게 움직이기 위하여 자동으로 지도를 구축(Map Building) 하도록 하였다. 이 실험에서 구성된 맵은 평면상의 격자를 중심으로 작성되었고 로봇의 센서에서 읽어들인 센서 값은 D-S 추론 이론을 이용하여 기존의 맵과 혼합되어진다. 즉, 로봇이 움직일때 마다 실험 환경내에서 새로운 정보를 읽어 들이고, 그 정보로 인하여 기존의 지도가 새로운 지도로 갱신되는 것이다. 이러한 작업을 거치면서 로봇은 장애물과 충돌없이 배회하는 것 뿐 아니라 설정된 목적지까지도 쉽게 찾아갈 수가 있다. 실험에 대한 안정성과 확신을 검증 받기 위하여 실제 로봇에 적용하기보다는 먼저 이동 로봇의 시뮬레이션으로 실험 해 보고자 한다.

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