• Title/Summary/Keyword: Biological information

Search Result 2,603, Processing Time 0.032 seconds

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

  • Lee, Yonggyu;Cho, Joonggil;Kim, Taesung
    • Journal of the Korea Safety Management & Science
    • /
    • v.21 no.4
    • /
    • pp.1-6
    • /
    • 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
    • /
    • v.10 no.4
    • /
    • pp.231-236
    • /
    • 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
    • /
    • v.2 no.2
    • /
    • pp.99-106
    • /
    • 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
    • /
    • v.11 no.2
    • /
    • pp.102-107
    • /
    • 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.

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

  • Jung, Chai-Young;Cho, Chan-Je;Park, Hong-Won;Park, Eun-Kyung;Kim, Hvun-Ju;Bae, Jong-Min
    • Journal of Korea Multimedia Society
    • /
    • v.10 no.1
    • /
    • pp.102-116
    • /
    • 2007
  • An XML-based mediator system is the one of the methods to virtually integrate distributed heterogeneous information sources. It considers each information source as the virtual XML database and accesses the information source by XML query language. In this paper, we present a design concept and a development result of the graphic user interface that generates XML views for each biological information sources with flexibility and XML queries on the views. In addison to the easy generation of XML views and queries for the integrated schema, the system supports the form of the workflow, in which the part of the query result against biological information sources is used as input data of an another source.

  • PDF

Knowledge Base Associated with Autism Construction Using CRFs Learning

  • Yang, Ronggen;Gong, Lejun
    • Journal of Information Processing Systems
    • /
    • v.15 no.6
    • /
    • pp.1326-1334
    • /
    • 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.

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

  • Yu, Dong-Gyun;Hwang, Jong-Sun;Kim, Han-Kil;Kim, Han-Kyung;Jung, Hoe-Kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2016.10a
    • /
    • pp.792-793
    • /
    • 2016
  • Recent studies on a fusion of health care system and the information and communication technology of wearable is being developed Anytime and anywhere without being constrained to measure the biological information of the user. However existing wearable monitors the measured biological information. If the user is hard to deal with for the event of dangerous situations. In this paper, it proposes a system that identifies the status of a user to correct the problem it utilizes sensors and algorithms to measure the biological information. This enables the user will be able to respond quickly to dangerous situations. In the event of a dangerous situation, such as falling or stumbling sends an emergency alert to a designated guardian.

  • PDF

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

  • Jung, Jonghyuk;Jung, Hakyu;Kwon, Wontae
    • Journal of Korean Society on Water Environment
    • /
    • v.24 no.1
    • /
    • pp.1-6
    • /
    • 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.

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

  • Im, Eun-Jung;Kim, Sung-Hyun;Kim, Sang-Gon;Hyeon, Dong-Hun;Park, Sun-Hee
    • Clean Technology
    • /
    • v.18 no.3
    • /
    • pp.307-311
    • /
    • 2012
  • Patents is a strong asset. Samsung and Apple's patent lawsuit is a prime example. So many countries reinforce the intellectual property and they lay the emphasis on the patent. Utilizing the patent information efficiently is basic to the patent analysis. Patent information will provide for new science and technology information sources, international code is classified according to the international patent system IPC, being easily accessible. In this paper, analysis of foreign and domestic patents for zeolite technologies analysis using IPC. The current of technology development in such countries as Korea, USA, Japan, China and EU was analyzed by classifying the patents for 1992 through 2011 according to registration country, assignee, calendar year and technology area.

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

  • Wang, Wei;Zhang, Guoguang;Zou, Jinmei
    • Journal of Applied Biological Chemistry
    • /
    • v.57 no.1
    • /
    • pp.33-40
    • /
    • 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.