• 제목/요약/키워드: Biological information

검색결과 2,603건 처리시간 0.034초

UWB 레이더를 이용한 비접촉 생체신호 검출에 관한 연구 (A Study on the Detecting of Noncontact Biosignal using UWB Radar)

  • 이용규;조중길;김태성
    • 대한안전경영과학회지
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    • 제21권4호
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    • pp.1-6
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    • 2019
  • This study relates to acquiring biological signal without attaching directly to the user using UWB(Ultra Wide Band) radar. The collected information is the respiratory rate, heart rate, and the degree of movement during sleep, and this information is used to measure the sleep state. A breathing measurement algorithm and a sleep state detection algorithm were developed to graph the measured data. Information about the sleep state will be used as a personalized diagnosis by connecting with the medical institution and contribute to the prevention of sleep related diseases. In addition, biological signal will be linked to various sensors in the era of the 4th industrial revolution, leading to smart healthcare, which will make human life more enriching.

Temperature Compensation of Complex Permittivities of Biological Tissues and Organs in Quasi-Millimeter-Wave and Millimeter-Wave Bands

  • Sakai, Taiji;Wake, Kanako;Watanabe, Soichi;Hashimoto, Osamu
    • Journal of electromagnetic engineering and science
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    • 제10권4호
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    • pp.231-236
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    • 2010
  • This study proposes a temperature compensation method of the complex permittivities of biological tissues and organs. The method is based on the temperature dependence of the Debye model of water, which has been thoroughly investigated. This method was applied to measured data at room temperature for whole blood, kidney cortex, bile, liver, and heart muscle. It is shown that our method can compensate for the Cole-Cole model using measured data at 20 $^{\circ}C$, given the Cole-Cole model based on measured data at 35 $^{\circ}C$, with a root-mean-squared deviation of 3~11 % and 2~6 % for the real and imaginary parts of the complex permittivities, respectively, among the measured tissues.

PubMiner: Machine Learning-based Text Mining for Biomedical Information Analysis

  • Eom, Jae-Hong;Zhang, Byoung-Tak
    • Genomics & Informatics
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    • 제2권2호
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    • pp.99-106
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    • 2004
  • In this paper we introduce PubMiner, an intelligent machine learning based text mining system for mining biological information from the literature. PubMiner employs natural language processing techniques and machine learning based data mining techniques for mining useful biological information such as protein­protein interaction from the massive literature. The system recognizes biological terms such as gene, protein, and enzymes and extracts their interactions described in the document through natural language processing. The extracted interactions are further analyzed with a set of features of each entity that were collected from the related public databases to infer more interactions from the original interactions. An inferred interaction from the interaction analysis and native interaction are provided to the user with the link of literature sources. The performance of entity and interaction extraction was tested with selected MEDLINE abstracts. The evaluation of inference proceeded using the protein interaction data of S. cerevisiae (bakers yeast) from MIPS and SGD.

Morphological description and DNA barcode information of seven newly reported nudibranch species from Korea

  • Lee, Yucheol;Nam, Eunjung;Kil, Hyun-Jong;Park, Joong-Ki
    • Journal of Species Research
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    • 제11권2호
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    • pp.102-107
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    • 2022
  • The order Nudibranchia Cuvier, 1817 is among the most colorful gastropod group that lacks an external shell and mantle cavity at their adult stage. They are widely found in the intertidal to subtidal zones of marine habitats worldwide. To date, a total of 58 species are known from Korean waters. In this study, we report seven nudibranch species that are newly reported from Korean waters and provide their color images of external body, morphological description, taxonomic remarks, and mtDNA cox1 barcode sequence information: Dendronotus primorjensis Martynov, Sanamyan & Korshunova, 2015; Doto japonica Odhner, 1936; Trinchesia ornata (Baba, 1937); Antiopella fusca (O'Donoghue, 1924); Cadlina paninae Korshunova, Fletcher, Picton, Lundin, Kashio, N. Sanamyan, K. Sanamyan, Padula, Schrodi & Martynov, 2020; Rostanga bifurcata Rudman & Avern, 1989; and Goniodoridella savignyi Pruvot-Fol, 1933.

생물 정보원에 대한 통합 질의를 지원하는 그래픽 사용자 인터페이스 개발 (Development of an XML Query Interface to Support Integrated Queries for Biological Information Sources)

  • 정채영;조찬제;박홍원;박은경;김현주;배종민
    • 한국멀티미디어학회논문지
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    • 제10권1호
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    • pp.102-116
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    • 2007
  • XML 기반의 미디에이터 시스템은 분산된 이질의 정보원들을 가상적으로 통합하는 방법 중의 하나이다. 이는 각 정보원을 하나의 가상의 XML 데이터베이스로 간주하고 XML 질의어로써 정보원에 접근한다. 본 논문은 사용자가 각 생물 정보원에 대한 XML 뷰를 융통성 있게 정의하고, 또한 정의한 XML 뷰를 기반으로 통합된 XML 질의를 쉽게 생성할 수 있는 사용자 인터페이스에 대한 설계 개념과 개발 결과를 제시한다. 개발된 인터페이스는 통합 스키마에 대하여 XML 뷰나 XML 질의를 손쉽게 생성할 수 있을 뿐 아니라, 하나 이상의 생물 정보원에 대한 질의 결과의 일부를 다른 생물 정보원의 입력 자료로 사용하는 워크플로우 형태의 질의 인터페이스 기능을 제공한다.

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Knowledge Base Associated with Autism Construction Using CRFs Learning

  • Yang, Ronggen;Gong, Lejun
    • Journal of Information Processing Systems
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    • 제15권6호
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    • pp.1326-1334
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    • 2019
  • Knowledge base means a library stored in computer system providing useful information or appropriate solutions to specific area. Knowledge base associated with autism is the complex multidimensional information set related to the disease autism for its pathogenic factor and therapy. This paper focuses on the knowledge of biological molecular information extracted from massive biomedical texts with the aid of widespread used machine learning methods. Six classes of biological molecular information (such as protein, DNA, RNA, cell line, cell component, and cell type) are concerned and the probability statistics method, conditional random fields (CRFs), is utilized to discover these knowledges in this work. The knowledge base can help biologists to etiological analysis and pharmacists to drug development, which can at least answer four questions in question-answering (QA) system, i.e., which proteins are most related to the disease autism, which DNAs play important role to the development of autism, which cell types have the correlation to autism and which cell components participate the process to autism. The work can be visited by the address http://134.175.110.97/bioinfo/index.jsp.

웨어러블 기반 사용자 위험상황 식별 시스템 (Wearable Based User Danger Situation Discerning System)

  • 유동균;황종선;김한길;김한경;정회경
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2016년도 추계학술대회
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    • pp.792-793
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    • 2016
  • 최근 의료시스템과 정보통신기술을 융합하여 언제 어디서나 제약을 받지 않고 사용자의 생체정보를 측정하는 웨어러블에 대한 연구가 진행되고 있다. 그러나 기존의 웨어러블 기기는 측정된 생체정보를 모니터링 할뿐 사용자가 위급한상황이 발생할 경우에 대한 대처는 미흡한 실정이다. 본 논문에서는 이러한 문제점을 해결하기 위해 생체정보를 측정하는 센서들과 알고리즘을 활용하여 사용자의 상태를 식별하는 시스템을 제안한다. 이를 통해 사용자가 낙상이나 넘어짐 같은 위험상황이 발생할 경우 지정된 보호자에게 긴급 알림 메시지를 전송하여 위험상황을 신속하게 대처할 수 있을 것으로 사료된다.

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조류를 이용한 수계모니터링 시스템에서 뉴럴 네트워크에 의한 실시간 독성물질 판단 (On-line Identification of The Toxicological Substance in The Water System using Neural Network Technique)

  • 정종혁;정하규;권원태
    • 한국물환경학회지
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    • 제24권1호
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    • pp.1-6
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    • 2008
  • Biological and chemical sensors are the two most frequently used sensors to monitor the water resource. Chemical sensor is very accurate to pick up the types and to measure the concentration of the chemical substance. Drawback is that it works for just one type of chemical substance. Therefore a lot of expensive monitoring system needs to be installed to determine the safeness of the water, which costs too much expense. Biological sensor, on the contrary, can judge the degree of pollution of the water with just one monitoring system. However, it is not easy to figure out the type of contaminant with a biological sensor. In this study, an endeavor is made to identify the toxicant in the water using the shape of the chlorophyll fluorescence induction curve (FIC) from a biological monitoring system. Wem-tox values are calculated from the amount of flourescence of contaminated and reference water. Curve fitting is executed to find the representative curve of the raw data of Wem-tox values. Then the curves are digitalized at the same interval to train the neural network model. Taguchi method is used to optimize the neural network model parameters. The optimized model shows a good capacity to figure out the toxicant from FIC.

특허정보에 의한 제올라이트 분리막 연구동향 고찰 (Analysis of Zeolite Membrane Using Patent Information)

  • 임은정;김성현;김상곤;현동훈;박선희
    • 청정기술
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    • 제18권3호
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    • pp.307-311
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    • 2012
  • 특허권은 강력한 자산이다. 삼성과 애플의 특허 소송이 대표적인 사례이다. 따라서 각국에서 지식재산권이 강화되고 특허가 강조되고 있다. 특허분석의 기본은 특허정보를 활용하는 것이다. 특허정보는 새로운 기술을 제공하고 국제코드인 국제특허분류에 의해 구분되어 있다는 것이다. 논문에서는 국제특허분류코드를 이용하여 제올라이트 기술 분석에 대한 국내외 특허를 분석하였다. 1992년부터 2011년까지의 한국, 미국, 일본, 중국 및 유럽에서 출원된 특허에 대하여 출원국별, 출원인별, 연도별, 세부기술 분야로 분류하여 비교함으로써 기술개발 현황을 분석하였다.

The Interaction of Polysaccharides Isolated from Auricularia Polytricha with Human Serum Albumin

  • Wang, Wei;Zhang, Guoguang;Zou, Jinmei
    • Journal of Applied Biological Chemistry
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    • 제57권1호
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    • pp.33-40
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    • 2014
  • Polysaccharides have attracted great attention for their wide range of applications in biological and medical fields. In this paper, the interaction of polysaccharides with human serum albumin (HSA) was systematically investigated by fluorescence (FL) spectroscopy and circular dichroism (CD) spectra under different conditions. The Stern-Volmer quenching constants ($K_a$) at different ionic strength and pH were calculated, and information of the structural features of HSA was discussed. FL and CD results indicate that both hydrophobic and electrostatic interactions play important roles during the binding process. The quenching of the fluorescence resulting the binding of polysaccharides and HSA is static.