• Title/Summary/Keyword: Biological information

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

  • Seo, Jae-Yong;Jo, Hyeon-Chan;Jeon, Hong-Tae
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.39 no.1
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    • pp.1-6
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    • 2002
  • In this paper, we propose temperature inference system for indoor and outdoor temperature of the Air-Conditioner with limited sensors. The proposed system based on the network theory of biological immune system consists of indoor and outdoor temperature inference process. It is designed that on-line temperature inference is possible. This system is admirable for unlearned data as well as given input data by making efficient use of previous information.

Interpretation of Association Networks among Protein Sequence Motifs

  • Kam, Hye J.;Lee, Junehawk;Lee, Doheon;Lee, Kwang H.
    • Genomics & Informatics
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    • v.1 no.2
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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.

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

  • Ryu, Jong-Hyun;Beack, Seung-Hwa;Paek, Seung-Eun;Kim, Dong-Wan
    • Proceedings of the KIEE Conference
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    • 2004.07d
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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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A New Quadrature Breast RF Coil for MRI (새로운 자기공명영상촬영용 Quadrature Breast RF 코일)

  • Kim, S.K.;Yang, Y.J.;Lee, D.R.;Yi, Y.;Ahn, C.B.;Oh, C.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1997 no.11
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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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Algorithm for automatic recognition of corpus callosum from saggital brain MR images (두뇌 자기공명영상에서의 corpus callosum의 자동인식 알고리즘)

  • Huh, S.;Lee, C.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1998 no.11
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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-BASED BIOINFORMATIC SYSTEMS (XML 기반의 생물정보학시스템)

  • Sin Jong Hyeon;Jeong Mu Yeong
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2002.05a
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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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    • v.37 no.4
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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.

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

  • Park, J.B.;Chung, S.C.;Park, S.H.;Ro, Y.M.;Cho, Z.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1993 no.11
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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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    • v.35 no.3
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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 : MEtaGenomic data Analysis System (MEGAS : 메타지노믹 데이터 분석 시스템)

  • Park, Sol-Been;Kim, Dong-Wook;Baik, Doo-Kwon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.05a
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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.