• 제목/요약/키워드: resources identification

검색결과 1,182건 처리시간 0.03초

방재 자원의 효과적 분류 및 식별에 관한 연구 (A Study of the Classification and Identification of the Disaster Protection Resources)

  • 이창열;김태환;박길주
    • 한국재난정보학회 논문집
    • /
    • 제9권1호
    • /
    • pp.65-77
    • /
    • 2013
  • 많은 기관에서 방재 자원을 관리하고 운영하고 있으나 이들 자원에 대한 통일된 분류 및 식별 체계가 존재하지 않고 있어서 시스템 간의 호환성에 대한 근본적인 문제를 발생시키고 있다. 미국은 NIMS에서 방재자원에 대한 표준 체계를 제시하고 있으며, 이러한 표준 체계에 따라 IRIS, webEOC 등에서 자원을 관리하고 있다. 방재자원에 대한 분류와 식별은 궁극적으로 재난 발생 시 신속히 필요한 자원 리스트를 확인하고, 해당 자원을 정확히 찾을 수 있는 체계를 제공하는 것을 목적으로 한다. 본 연구에서는 국제적 표준과 현장 요구사항을 반영한 방재자원에 대한 분류 및 식별 기준 체계를 제시하였다.

Identification of Meat Species Using PCR-RFLP Marker of Cytochrome b Gene

  • Shin, Sung-Chul;Chung, Ku-Young;Chung, Eui-Ryong
    • 한국축산식품학회지
    • /
    • 제26권3호
    • /
    • pp.375-379
    • /
    • 2006
  • Food labeling regulations require that the meat species in various meat products are accurately declared to the consumer. Substitution or adulteration of costly meat with a cheaper one is one of the most common problems in the meat industry. In this study, PCR-restriction fragment length polymorphism(RFLP) method of the mitochondrial cytochrome b(mt cyt b) gene has been applied for identification of the origin of six mammalian meat species(beef, port horse, goat, mutton and deer) and three poultry meat species(chicken, turkey and duck) as raw materials for meat products. PCR was used to amplify a variable region of mt cyt b gene. Meat species differentiation was determined by digestion of the amplified products with a 359 bp fragment using HaeIII and HinfI restriction enzymes, which generated species-specific RFLP patterns. This PCR-RFLP DNA marker of mt cyt b gene could be very useful for the accurate and reliable identification and discrimination of animal meat species in routine analysis.

Individual Identification and Breed Allocation with Microsatellite Markers: An Evaluation in Indian Horses

  • Behl, Rahul;Behl, Jyotsna;Gupta, Neelam;Gupta, S.C.;Ahlawat, S.P.S.
    • Asian-Australasian Journal of Animal Sciences
    • /
    • 제20권1호
    • /
    • pp.25-30
    • /
    • 2007
  • The capability of microsatellite markers for individual identification and their potential for breed assignment of individuals was evaluated in two Indian horse breeds. The strength of these individual assignment methods was also evaluated by increasing the number of loci in increments of five. The probability of identity of two random horses from the two breeds at all twenty five studied loci was as low as $1.08{\times}10^{-32}$ showing their suitability to distinguish between individual horses and their products. In the phylogenetic approach for individual assignment using Nei's genetic distances, 10.81% of horses associated with breed other than the major cluster of the source breed horses when all twenty five microsatellite loci were implemented. Similar results were obtained when the maximum likelihood approach for individual assignment was used. Based on these results it is proposed that, although microsatellite markers may prove very useful for individual identification, their utility for breed assignment of horses needs further evaluation.

Rapid Identification of Staphylococcus Species Isolated from Food Samples by Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry

  • Kim, Eiseul;Kim, Hyun-Joong;Yang, Seung-Min;Kim, Chang-Gyeom;Choo, Dong-Won;Kim, Hae-Yeong
    • Journal of Microbiology and Biotechnology
    • /
    • 제29권4호
    • /
    • pp.548-557
    • /
    • 2019
  • Staphylococcus species have a ubiquitous habitat in a wide range of foods, thus the ability to identify staphylococci at the species level is critical in the food industry. In this study, we performed rapid identification of Staphylococcus species using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight mass spectrometry (MALDI-TOF MS). MALDI-TOF MS was evaluated for the identification of Staphylococcus reference strains (n = 19) and isolates (n = 96) from various foods with consideration for the impact of sample preparation methods and incubation period. Additionally, the spectra of isolated Staphylococcus strains were analyzed using principal component analysis (PCA) and a main spectra profile (MSP)-based dendrogram. MALDI-TOF MS accurately identified Staphylococcus reference strains and isolated strains: the highest performance was by the EX method (83.3~89.5% accuracy) at species level identification (EDT, 70.3~78.9% accuracy; DT, less than 46.3~63.2% accuracy) of 24-h cultured colonies. Identification results at the genus level were 100% accurate at EDT, EX sample preparation and 24-h incubation time. On the other hand, the DT method showed relatively low identification accuracy in all extraction methods and incubation times. The analyzed spectra and MSP-based dendrogram showed that the isolated Staphylococcus strains were characterized at the species level. The performance analysis of MALDI-TOF MS shows the method has the potential ability to discriminate between Staphylococcus species from foods in Korea. This study provides valuable information that MALDI-TOF MS can be applied to monitor microbial populations and pathogenic bacteria in the food industry thereby contributing to food safety.

Cervus elaphus 종의 sequencing과 BLAST search에 의한 감별 (Identification of Cervus elaphus Species by Sequencing Analysis and BLAST Search)

  • 서정철;김민정;이찬;임강현
    • 대한본초학회지
    • /
    • 제21권2호
    • /
    • pp.129-133
    • /
    • 2006
  • Objectives : Cervus elaphus species are some of the most medicinally important genera in the Oriental medicine. This study was performed to determine if Cenvus elaphus species could be identified by sequencing analysis and to verify Basic Local Alignment Search Tool (BLAST) search, which was used to assess genetic identification. Methods : The DNAs of Cervus elaphus species were extracted, amplified by PCR, and sequenced. The DNAs of Cervus species were identified by BLAST search in website. Results : By BLAST search one of Cervus elaphus species was identified as Cervus elaphussibericus but the other was identified as Cervus elaphus nelsoni. This work showed that identification can efficiently be performed by BLAST search. Conclusion : These results suggest that sequencing following BLAST search might be able to provide the identification of Cervus elaphus species.

  • PDF

Development of a Rapid and Accurate Identification Method for Citrobacter Species Isolated from Pork Products Using a Matrix-Assisted Laser-Desorption Ionization Time-of-Flight Mass Spectrometry (MALDITOF MS)

  • Kwak, Hye-Lim;Han, Sun-Kyung;Park, Sunghoon;Park, Si Hong;Shim, Jae-Yong;Oh, Mihwa;Ricke, Steven C.;Kim, Hae-Yeong
    • Journal of Microbiology and Biotechnology
    • /
    • 제25권9호
    • /
    • pp.1537-1541
    • /
    • 2015
  • Previous detection methods for Citrobacter are considered time consuming and laborious. In this study, we have developed a rapid and accurate detection method for Citrobacter species in pork products, using matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry (MS). A total of 35 Citrobacter strains were isolated from 30 pork products and identified by both MALDI-TOF MS and 16S rRNA gene sequencing approaches. All isolates were identified to the species level by the MALDI-TOF MS, while 16S rRNA gene sequencing results could not discriminate them clearly. These results confirmed that MALDITOF MS is a more accurate and rapid detection method for the identification of Citrobacter species.

2차원 바코드와 UCC/EAN-128을 이용한 생물자원 자동인식시스템 (An Automatic Identification System of Biological Resources based on 2D Barcode and UCC/EAN-128)

  • 주민석;류근호;김준우;김흥태;한복기
    • 정보처리학회논문지D
    • /
    • 제15D권6호
    • /
    • pp.861-872
    • /
    • 2008
  • 컴퓨팅 환경이 발전함에 따라 다양한 물리적 객체와 디지털 정보를 연동하는 자동인식 연구가 활발히 진행 중이다. 이러한 자동인식시스템은 다양한 산업분야에서 활용되고 있음에도 불구하고 보건의료와 관련한 자동인식 기술의 접목은 아직까지 다른 산업기술 전반에 미치지 못하고 있는 실정이다. 이에 따라 의료장비, 혈액, 인체조직 등 보건의료 용품의 자동인식에 관한 여러 연구가 진행 중이다. 이 논문은 인간 유전체 연구의 필수 연구재료인 생물자원을 대상으로 자동인식 기술의 적용 방안을 제안한다. 먼저, 자동인식기술 도입을 위해 사용 환경상의 고려사항을 정의하고, 조사과정 또는 실험을 통하여 적합한 형태의 태그 인터페이스로서 바코드를 선택하였다. 바코드 심볼로지는 2차원 바코드 심볼로지인 Data Matrix를 사용하고, 데이터 스키마는 국제적 범용성 추구를 위하여 UCC/EAN-128 기반으로 설계하였다. 제안된 기술들이 실제 환경에 적용되는지를 보이기 위한 어플리케이션을 개발하고, 이에 대한 실험 및 평가를 다음의 방법으로 수행하였다. 생물자원이 실제 보존되는 영하 $196^{\circ}C$, 영하 $75^{\circ}C$의 초저온 보존환경에서 바코드 인식실험을 한 결과 1.6초 내외의 평균 인식시간을 보이며, 데이터 스키마는 생물자원 활용 분야의 요구사항을 만족하는 것으로 평가되었다. 따라서 제안한 방법으로 생물자원의 정보처리 과정에서 정확성과 데이터 입력의 신속성이 제공될 수 있다.

Identification of Korean Native Pork Using Breed-Specific DNA Marker of KIT Gene

  • Chung, Eui-Ryong;Chung, Ku-Young
    • 한국축산식품학회지
    • /
    • 제30권3호
    • /
    • pp.403-409
    • /
    • 2010
  • Accurate methods for the identification of closely related species or breeds in raw and processed meats must be developed in order to protect both consumers and producers from mislabeling and fraud. This paper describes the development of DNA markers for the discrimination and improvement of Korean native pig (KNP) meat. The KIT gene is related to pig coat color and is often used as a candidate marker. A 538 bp fragment comprising intron 19 of the pig KIT gene was amplified by PCR using specific primers, after which the PCR amplicons of a number of meat samples from KNP and three major improved breeds (Landrace, Duroc and Yorkshire) were sequenced in order to find a nucleotide region suitable for PCR-RFLP analysis. Sequence data showed the presence of two nucleotide substitutions, g.276G>A and g.295A>C, between KNP and the improved pig breeds. Digestion of KIT amplicons with AccII enzyme generated characteristic PCR-RFLP profiles that allowed discrimination between meats from KNP and improved pig. KNP showed three visible DNA bands of 264/249, 199, and 75 bp, whereas DNA bands of 249, 199, and 90 bp were detected in the three improved pig breeds. Therefore, the 75 bp DNA fragment was specific only to KNP, whereas the 90 bp DNA fragment was specific to the improved breeds. The breed-specific DNA markers reported here that target the KIT gene could be useful for the identification of KNP meat from improved pig meats, thus contributing to the prevention of falsified breed labeling.

Genetic Distance Methods for the Identification of Cervus Species

  • Seo Jung-Chul;Kim Min-Jung;Lee Chan;Lee Jeong-Soo;Choi Kang-Duk;Leem Kang-Hyun
    • 대한한의학회지
    • /
    • 제27권2호
    • /
    • pp.225-231
    • /
    • 2006
  • Objectives : This study was performed to determine if unknown species of antler samples could be identified by genetic distance methods. Methods : The DNAs of 4 antler samples were extracted, amplified by PCR, and sequenced. The DNAs of antlers were identified by genetic distance. Genetic distance method was made using MEGA software (Molecular Evolutionary Genetics Analysis, 3.1). Results : By genetic distance methods, all 4 antler samples were closest to Cervus elaphus nelsoni among Cervus species. Conclusion : These results suggest that genetic distance methods might be used as a tool for the identification of Cervus species.

  • PDF

Automatic Acquisition of Lexical-Functional Grammar Resources from a Japanese Dependency Corpus

  • Oya, Masanori;Genabith, Josef Van
    • 한국언어정보학회:학술대회논문집
    • /
    • 한국언어정보학회 2007년도 정기학술대회
    • /
    • pp.375-384
    • /
    • 2007
  • This paper describes a method for automatic acquisition of wide-coverage treebank-based deep linguistic resources for Japanese, as part of a project on treebank-based induction of multilingual resources in the framework of Lexical-Functional Grammar (LFG). We automatically annotate LFG f-structure functional equations (i.e. labelled dependencies) to the Kyoto Text Corpus version 4.0 (KTC4) (Kurohashi and Nagao 1997) and the output of of Kurohashi-Nagao Parser (KNP) (Kurohashi and Nagao 1998), a dependency parser for Japanese. The original KTC4 and KNP provide unlabelled dependencies. Our method also includes zero pronoun identification. The performance of the f-structure annotation algorithm with zero-pronoun identification for KTC4 is evaluated against a manually-corrected Gold Standard of 500 sentences randomly chosen from KTC4 and results in a pred-only dependency f-score of 94.72%. The parsing experiments on KNP output yield a pred-only dependency f-score of 82.08%.

  • PDF