• 제목/요약/키워드: Biological information

검색결과 2,606건 처리시간 0.029초

면역 시스템을 이용한 에어콘의 온도 제어 시스템 설계 ((On designing Temperature Control System of the Air-conditioner using immune system))

  • 서재용;조현찬;전홍태
    • 전자공학회논문지SC
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    • 제39권1호
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    • pp.1-6
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    • 2002
  • 본 논문에서는 제한된 센서를 이용한 에어콘의 온도제어용 실내 ·외 온도 추론 시스템을 제안하였다. 제안한 온도추론 시스템은 자연계의 면역 시스템의 네트워크 이론을 이용한 실내온도 추론과정과 실외온도 추론과정으로 구성되어 있으며, 실시간 온도추론이 가능하도록 설계하였다. 면역기법을 이용한 온도 추론 시스템은 과거의 정보를 효과적으로 이용함으로써 주어진 입력 데이터뿐만 아니라 학습되지 않는 데이터에 대해서도 온도 추론능력이 우수하다.

Interpretation of Association Networks among Protein Sequence Motifs

  • Kam, Hye J.;Lee, Junehawk;Lee, Doheon;Lee, Kwang H.
    • Genomics & Informatics
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    • 제1권2호
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    • pp.75-79
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    • 2003
  • Every protein can be characterized by either a distinct motif or a combination of motifs. Nevertheless, little is known about the relationships among (more than two) the motifs. Some of the proteins in the world are share motifs for evolutional or other biological benefits - they can save energy, time and resource for controlling and managing a variety of proteins. In some cases of motifs, the tendency is quite common and they can act the 'hub' motif of a network of the motif associations. The hubs are structurally and functionally important in themselves and also important in disease-related mutations. They will be highly resistant mutation to conserve their functions. But, in case of the a rare mutation, mutations on the position of hub can more easily cause fatal diseases.

가상현실 정신질환 치료시스템을 위한 GSR 신호분석에 관한 연구 (A Study of GSR Signal Processing for Viral Reality System for Treatment of Mental Illness)

  • 유종현;백승화;백승은;김동완
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 하계학술대회 논문집 D
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    • pp.2693-2695
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    • 2004
  • Recently A virtual environment provides patient with stimuli which arouses phobia, and exposing to that environment makes him having ability to over come the fear. ECG and HRV are used in most virtual reality system. GSR is electrical impedance of biological tissues and the changes in impedance accompanying physiological activity. GSR is better than ECG or HRV for explaining mental states in other study. In this study, we will analysis GSR signal when a acrophobia patient and a normal is on high floor.

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새로운 자기공명영상촬영용 Quadrature Breast RF 코일 (A New Quadrature Breast RF Coil for MRI)

  • 김선경;양윤정;이덕래;이윤;안창범;오창현
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1997년도 추계학술대회
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    • pp.291-293
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    • 1997
  • A new quadrature RF coil is designed for Breast MR Imaging. Quadrature RF coils for MRI have been useful to improve the signal-to-noise ratio (SNR) by "$\sqrt{2}$" using two orthogonal RF coils in combination. A modified Breast Quadrature coil is designed. It is a modified type of the high-pass birdcage coil. To reduce the field distortion, by using current feeding, the field pattern is optimized to achieve a quadrature circularly-polarized field pattern. The coil has been implemented for receive-only mode, and tested by phantom imaging. The experimental results show the utility of the proposed RF coil.

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두뇌 자기공명영상에서의 corpus callosum의 자동인식 알고리즘 (Algorithm for automatic recognition of corpus callosum from saggital brain MR images)

  • 허신;이철희
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1998년도 추계학술대회
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    • pp.62-63
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    • 1998
  • In this paper, a new method to find the corpus callosum from sagittal brain MR images is proposed, which uses the statistical characteristics and shape information of corpus callosum. First, we extract regions satisfying the statistical characteristics of the corpus callosum and then find a region matching the shape information. In order to match the shape information, a new directed window region growing algorithm is proposed instead of using conventional contour matching algorithms. Using the proposed algorithm, we adaptively relax the statistical requirement until we find a region matching the shape information. Experiments show very promising results.

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XML 기반의 생물정보학시스템 (XML-BASED BIOINFORMATIC SYSTEMS)

  • 신종환;정무영
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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    • pp.301-305
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    • 2002
  • Bioinformatics can beexplained as the science of developing algorithms, applicatiou tools, and computer databases and so on, for the purpose of supporting and enhancing biological research. Bioinformatic information systems (BIS) typically handle large data sets and the amount of the data goes up exponentially. Another impediment to easy extraction and retrieval of genomic data in BIS is the need to access different sites for similar information. Recently. there has been some attempts to integrate bioinformatics data in the World Wide Web (WWW) among the bioinformatics community by the internet computing technology. However, the work to integrate bioinformatics data on a universal platform has some problems because of the lack of standard, terminologies, semantics, and ontologies about bioinformatics. In this paper, an XML-based BIS architecture is proposed as an integrated BIS framework. The XML and related technologies allow the creation of meaningful information tags to exchange data between various databases as a standard format, and to create more simple interfaces. This integrated BIS framework has bioinformatic architectural components which is used in the Corporate Information Factory (CIF) method.

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Classifying Biomedical Literature Providing Protein Function Evidence

  • Lim, Joon-Ho;Lee, Kyu-Chul
    • ETRI Journal
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    • 제37권4호
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    • pp.813-823
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    • 2015
  • Because protein is a primary element responsible for biological or biochemical roles in living bodies, protein function is the core and basis information for biomedical studies. However, recent advances in bio technologies have created an explosive increase in the amount of published literature; therefore, biomedical researchers have a hard time finding needed protein function information. In this paper, a classification system for biomedical literature providing protein function evidence is proposed. Note that, despite our best efforts, we have been unable to find previous studies on the proposed issue. To classify papers based on protein function evidence, we should consider whether the main claim of a paper is to assert a protein function. We, therefore, propose two novel features - protein and assertion. Our experimental results show a classification performance with 71.89% precision, 90.0% recall, and a 79.94% F-measure. In addition, to verify the usefulness of the proposed classification system, two case study applications are investigated - information retrieval for protein function and automatic summarization for protein function text. It is shown that the proposed classification system can be successfully applied to these applications.

뇌의 기능영상에 있어서 자화율효과와 혈류효과 연구 (Susceptibility Effects v.s Flow Effects in Functional MRI)

  • 박종배;정순철;박세혁;노용만;조장희
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1993년도 추계학술대회
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    • pp.23-26
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    • 1993
  • In MR functional imaging, it is shown that the signal change during photic activation is composed of two terms, i.e. the inflow effect and the susceptibility effect. Relatively the inflow effect affects the data obtained by CGE on the condition of short $T_E$(15ms) and large $\alpha$(90degree). The susceptibility effect, however, mainly contributes to the data on the condition of large $T_E$(35ms) and small $\alpha$(30degree). In this apper, we will discriminate the susceptibility effect for the intermingled data affected both flow effect and susceptibility effect. Finally susceptibility only functional imaging is proposed by using TRFGE.

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MushBase: A Mushroom Information Database Application

  • Le, Yang-Quy;Lee, Hyun-Sook;Ro, Hyeon-Su
    • Mycobiology
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    • 제35권3호
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    • pp.154-156
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    • 2007
  • A database application, namely MushBase, has been built based on Microsoft Access in order to store and manage different kinds of data about mushroom biological information of species, strains and their physiological characteristics such as geometries and growth condition(s). In addition, it is also designed to store another group of information that is experimental data about mushroom classification by Random Amplification of Polymorphic DNA (RAPD). These two groups of information are stored and managed in the way so that it is convenient to retrieve each group of data and to cross-refer between them as well.

MEGAS : 메타지노믹 데이터 분석 시스템 (MEGAS : MEtaGenomic data Analysis System)

  • 박솔빈;김동욱;백두권
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2013년도 춘계학술발표대회
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    • pp.722-725
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    • 2013
  • 최근 시퀀싱 기술의 발전으로 생물 데이터는 폭발적으로 증가되고 있으며 이로 인하여 우리는 지놈 시대를 지나 특정 환경 내에 존재하는 생물체들의 총체적인 지놈을 다루는 메타지놈 시대에 살고 있다. 그러나 메타지노믹 데이터의 증가속도에 비해 이를 효율적으로 분석, 검토, 판별할 수 있는 파이프라인 형태의 프로그램은 전무한 실정이다. 또한, 기존 프로그램은 대부분의 관련연구자들이 다루기 힘든 리눅스 환경의 커맨드 라인 방식이며 대용량 데이터를 처리할 수 없는 제한과 처리 속도의 한계성을 가지고 있다. 이러한 문제점들을 해결하고자 윈도우 환경의 직관적인 그래픽 사용자 인터페이스로 유기적인 데이터 분석이 가능한 메타지노믹 데이터 분석 파이프라인을 설계하고 구현하였다.