• Title, Summary, Keyword: FCMA

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The study on representation, Digital coding and Clustering of odor information (후각정보 표현, 부호화 및 클러스터링에 관한 연구)

  • Kim, Jeong-Do;Jung, Suk-Woo;Kim, Dong-Jin
    • Proceedings of the KIEE Conference
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    • pp.598-601
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    • 2004
  • In this paper, we suggest method that change odors to digital data. For this, we selected emotional adjective of odors as olfactory receptor This emotional adjective(expressional receptor) is about 40. Each odors are expressed by adjective equivalent to oneself. Expressed odors as emotional receptor is encoded as proposed method for transmission, and after transmission, It should be decoded for expression again. The applied decoding method is fuzzy c-means clustering algorithm(FCMA). But, because odor data is expressed to 40 dimensions, FCMA uses a lot of computing times and memories. To solve this problem, after we reduce dimension through principal component analysis(PCA), we use FCMA algorithm.

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Development of Portable Electronic Tongue using Fuzzy clustering algorithm (Fuzzy Clustering 알고리즘을 이용한 휴대용 전자 혀 개발)

  • Kim, Joeng-Do;Ham, Yu-Kyung;Jung, Woo-Suk;Jung, Young-Chang
    • Proceedings of the KIEE Conference
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    • pp.602-604
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    • 2004
  • A portable electronic tongue(E-Tongue) system using an array of ion-selective electrode(ISE) and personal digital assistants(PDA) for recognizing and analyzing food and drink have been designed. By the employment of PDA, the complex algorithm such as fuzzy c-means algorithm(FCMA) could be used in E-Tongue, FCMA could iteratively solve the cluster centers of pre-determined standard patterns. And the membership between the standard patterns and unknown pattern could be analyzed easily by the present E-Tongue combined with PDA.

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Design of a Portable Electronic Tongue System using Fuzzy C-Means Algorithm (Fuzzy C-Means Algorithm을 이용한 휴대용 전자혀 시스템 설계)

  • Kim, Jeong-Do;Kim, Dong-Jin;Ham, Yu-Kyung;Jung, Young-Chang;Yoon, Chul-Oh
    • Journal of Sensor Science and Technology
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    • v.13 no.6
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    • pp.446-453
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    • 2004
  • A portable electronic tongue (E-Tongue) system using an array of ion-selective electrode (ISE) and personal digital assistants (PDA) for recognizing and analyzing food and drink have been designed. By the employment of PDA, the complex algorithm such as fuzzy c-means algorithm (FCMA) could be used in E-Tongue, PUMA could iteratively solve the cluster centers of pre-determined standard patterns. And the membership between the standard patterns and unknown pattern could be analyzed easily by the present E-Tongue combined with PDA.

Radiation Characteristics of Broadband Folded Cross Monopole Antennas (광대역 폴디드 십자형 모노폴 안테나의 복사 특성)

  • Park, Yong-Uk;Choi, Hak-Keun
    • Proceedings of the Korea Electromagnetic Engineering Society Conference
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    • pp.307-312
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    • 2005
  • In this paper, the broadband FCMA(Folded Cross Monopole Antenna), which is the cross monopole antenna with the folded element, is presented. To investigate the broadband characteristics of FCMA the VSWR, the gain, and the radiation pattern are calculated in frequency between 1.75 GHz and 2.655 GHz. From the calculated result, it is shown that the presented folded cross monopole antenna has a excellent band characteristics than the existing cross monopole antenna. The presented antenna is conformed as a broadband antenna which can be used for the indoor antenna of PCS, WCDMA, Wibro, and satellite DMB band.

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Face Recognition System using Eigenface on Embedded System (임베디드 시스템에서 Eigenface를 이용한 얼굴인식 시스템 설계)

  • Lee Soo-Il;Kwon Ki-Hyeon;Byun Hyung-Gi;Kim Duk-Eun;Choi Hyung-Jin
    • Proceedings of the Korea Information Processing Society Conference
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    • pp.557-560
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    • 2006
  • 최근 들어 정보통신 분야의 기술이 급격히 발전함에 따라 컴퓨터 사용의 증가와 임베디드 시스템 및 사회 각 분야에서 보안에 대한 의식이 점점 높아져 가고 있다. 각 분야에서 신체 정보를 이용한 연구들이 활발히 이루어지고 있는데 본 논문에서는 USB 캠을 이용한 실시간 얼굴 인식 방법에 대해서 제안한다. 카메라를 이용하여 얼굴을 인식하는 방법은 현재까지 여러 가지 방법들이 제시되어 왔지만 일반 pc에서 쓰는 USB 캠을 사용하여 제약 조건 없고 안정적인 인식 방법은 아직까지 나와 있지 않다. 얼굴영역을 주성분 변수로 변환하여 영상의 명암, 얼굴위치, 얼굴의 영역을 추출할 수 있는 기존의 시스템들이 많이 연구되어 왔는데 본 논문에서 제안된 방법에서는 일상생활에서 흔히 쓰는 USB 캠을 사용하여 기존의 CCTV와 같은 고가의 하드웨어를 대체하며 보다 효율적인 성능을 위하여 얼굴을 식별하기 위해 LVQ, FCMA, RBF 알고리즘을 적용한 시스템을 설계한다.

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