• 제목/요약/키워드: Fingerprinting analysis

검색결과 196건 처리시간 0.021초

DNA 지문을 이용한 가금의 유전분석과 개량 (DNA Fingerprinting in Poultry Breeding and Genetic Analysis)

  • 여정수
    • 한국가금학회지
    • /
    • 제22권2호
    • /
    • pp.97-104
    • /
    • 1995
  • Recently, DNA fingerprinting has been utilized as the most powerful tool for genetic analysis and improvement of poultry. This technique enables us to solve several problems of poultry breeding ; traits of low heritability, difficulty in keeping the performance records, measuring in late of life, and sex limited traits. Application of DNA fingerprinting is chiefly focused to individual and population identification, evolution force, quantitative trait marker, introgression of new gene, and prediction of heterosis. Thus, research work on DNA fingerprinting will he accelerated to analyze genetic components exactly and improve the performance of poultry.

  • PDF

도심지역 LTE 측위를 위한 Fingerprinting 기법의 W-KNN Correlation 기술에 따른 성능 분석 (Performance Analysis of Fingerprinting Method for LTE Positioning according to W-KNN Correlation Techniques in Urban Area)

  • 권재욱;조성윤
    • 한국전자통신학회논문지
    • /
    • 제16권6호
    • /
    • pp.1059-1068
    • /
    • 2021
  • 도심지역에서 GPS(Global Positioning System)/GNSS(Global Navigation Satellite System) 신호는 건물과 같은 구조물에 의해 차단되거나 왜곡되어 위치추정에 한계가 존재한다. 이 문제를 보완하기 위해 본 논문에서는 LTE 신호의 RSRP(Reference Signal Received Power) 정보를 사용한 Fingerprinting 기법으로 측위를 수행하고자 한다. Fingerprinting의 측위 단계에서 많이 사용되는 W-KNN(Weighted - K Nearest Neighbors) 기법은 Correlation 시 사용되는 유사도 거리 계산 방법과 가중치 적용 방법 등에 따라 다른 측위 성능의 결과를 생성한다. 본 논문에서는 Correlation 시 사용되는 기법들에 따른 Fingerprinting 측위 성능을 실 데이터 기반으로 비교 분석하고자 한다.

Amplified Fragment Length Polymorphism Fingerprinting as a Tool to Study the Genetic Diversity of Staphylococcus aureus Isolated from Food Sources

  • Kim, Young-Sam;Kim, Jong-Bae
    • 대한의생명과학회지
    • /
    • 제8권1호
    • /
    • pp.39-46
    • /
    • 2002
  • Amplified fragment length polymorphism (AFLP) is a recently developed PCR-based high resolution fingerprinting method that is able to generate complex banding patterns which can be used to delineate intraspecific genetic relationships among bacteria. In this study, we have modified and evaluated a PCR-based technique, amplified fragment length polymorphism (AFLP) analysis, for use in fingerprinting strains of Staphylococcus aureus. Single-enzyme amplified fragment length polymorphism (SE-AFLP) analysis was used to perform strain identification of Staphylococus aureus. By careful selection of AFLP primers, it was possible to obtain reproducible and sensitive identification to strain level. AFLP fingerprinting of 5 reference strains of Staphylococcus aureus and 65 strains of Staphylococcus aureus that were isolated from food sources of different area and diverse genomic types of Staphylococcus aureus were recognized. As a result of this study, we found that the AFLP patterns of Staphylococcus aureus isolated from Seoul, Taejeon and Gwang-Ju indicated the close relation with genetic similarity. The main purpose of this study was to find an alternative and reliable fingerprinting method to study the overall genetic diversity, using Staphylococcus aureus species as an example, and observed if the method can be successfully applied to all staphylococcal species.

  • PDF

Measurements and Analysis of Fingerprinting Structures for WLAN Localization Systems

  • Al KhanbashI, Nuha;Al Sindi, Nayef;Ali, Nazar;Al-Araji, Saleh
    • ETRI Journal
    • /
    • 제38권4호
    • /
    • pp.634-644
    • /
    • 2016
  • Channel-based radio-frequency fingerprinting such as a channel impulse response (CIR), channel transfer function (CTF), and frequency coherence function (FCF) have been recently proposed to improve the accuracy at the physical layer; however, their empirical performance, advantages, and limitations have not been well reported. This paper provides a comprehensive empirical performance evaluation of RF location fingerprinting, focusing on a comparison of received-signal strength, CIR-, CTF-, and FCF-based fingerprinting using the weighted k-nearest neighbor pattern recognition technique. Frequency domain channel measurements in the IEEE 802.11 band taken on a university campus were used to evaluate the accuracy of the fingerprinting types and their robustness to human-induced motion perturbations of the channel. The localization performance was analyzed, and the results are described using the spatial and temporal radio propagation characteristics. In particular, we introduce the coherence region to explain the spatial properties and investigate the impact of the Doppler spread in time-varying channels on the time coherence of RF fingerprint structures.

Diversity and Genotypic Structure of ECOR Collection Determined by Repetitive Extragenic Palindromic PCR Genome Fingerprinting

  • HWANG KEUM-OK;JANG HYO-MI;CHO JAE-CHANG
    • Journal of Microbiology and Biotechnology
    • /
    • 제15권3호
    • /
    • pp.672-677
    • /
    • 2005
  • The standard reference collection of strains for E. coli, the ECOR collection, was analyzed by a genome-based typing method. Seventy-one ECOR strains were subjected to repetitive extragenic palindromic PCR genome fingerprinting with BOX primers (BOX-PCR). Using a similarity value of 0.8 or more after cluster analysis of BOX-PCR fingerprinting patterns to define the same genotypes, we identified 28 genotypes in the ECOR collection. Shannon's entropy-based diversity index was 3.07, and the incident-based coverage estimator indicated potentially 420 genotypes among E. coli populations. Chi-square test of goodness-of-fit showed statistically significant association between the genotypes defined by BOX-PCR fingerprinting and the groups previously defined by multi-locus enzyme electrophoresis. This study suggests that the diversification of E. coli strains in natural populations is actively ongoing, and rep-PCR fingerprinting is a convenient and reliable method to type E. coli strains for the purposes ranging from ecology to quarantine.ine.

Improved Algorithms for the Identification of Yeast Proteins and Significant Transcription Factor and Motif Analysis

  • Lee Seung-Won;Hong Seong-Eui;Lee Kyoo-Yeol;Choi Do-Il;Chung Hae-Young;Hur Cheol-Goo
    • Genomics & Informatics
    • /
    • 제4권2호
    • /
    • pp.87-93
    • /
    • 2006
  • With the rapid development of MS technologiesy, the demands for a more sophisticated MS interpretation algorithm haves grown as well. We have developed a new protein fingerprinting method using a binomial distribution, (fBIND). With the fBIND, we improved the performance accuracy of protein fingerprinting up to the maximum 49% (more than MOWSE) and 2% than(at a previous binomial distribution approach studied by of Wool et al.) as compared to the established algorithms. Moreover, we also suggest a the statistical approach to define the significance of transcription factors and motifs in the identified proteins based on the Gene Ontology (GO). Abbreviations: fBIND, fingerprinting using binomial distribution; GO, Gene Ontology; MS, Mass Spectrometry; PMF, peptide mass fingerprinting; nr, nonredundant; SGD, Saccharomyces Genome Database

효율적인 fingerprinting map 구축을 위한 RSSI 특성 분석 (Analysis of RSSI Character for Efficient Fingerprinting Map Design)

  • 한병훈;전민호;오창헌
    • 한국정보통신학회:학술대회논문집
    • /
    • 한국정보통신학회 2014년도 춘계학술대회
    • /
    • pp.861-863
    • /
    • 2014
  • 실내 위치 기반 서비스를 위한 대표적인 위치 추정 시스템으로 fingerprinting 기법이 존재하지만 fingerprinting map을 구축하는 시간이 오래 걸리는 문제가 있으며, 이러한 문제를 해결하기 위해 유사한 공간에서 WAP(wireless access point)의 수신신호가 항상 유사하다는 것을 증명해야한다. 본 논문에서는 WAP의 수신신호 데이터를 이용한 fingerprinting map을 구성할 수 있는 방안을 제안한다. 이를 위해 같은 공간에서 WAP의 위치를 변경하며 그에 따른 거리 대 RSSI 변화 추이를 확인하였으며, 유사한 공간의 다른 지점에서 수집한 RSSI가 유사하게 변화는 것을 확인하였다.

  • PDF

옥내 측위를 위한 지문 방식 알고리즘들의 성능 분석 (Performance Analysis of Fingerprinting algorithms for Indoor Positioning)

  • 임재걸
    • 전자공학회논문지CI
    • /
    • 제43권6호
    • /
    • pp.1-9
    • /
    • 2006
  • 무선네트워크 기반 옥내측위는 측위를 위한 특수 장비를 필요로 하지 않고, 지문 방식은 무선네트워크 기반 측위를 위한 기술 중에서 가장 정확도가 높기 때문에 무선네트워크 지문 방식이 가장 적당한 옥내측위 방법이다. 지문 방식은 준비 단계와 실시간 측위 단계로 구성되는데, 준비 단계는 그렇지 않지만 실시간 측위 단계는 실행 시간이 매우 중요한 요소인 작업이다. 왜냐하면, 실시간 측위 단계의 실행 시간이 너무 길면, 실행 도중에 사용자가 너무 많이 이동하여 정확한 측위가 불가능하게 되기 때문이다. 그럼에도 불구하고 무선네트워크 기반 지문 방식의 실시간 측위 단계의 효율성을 개선하는 연구는 아직 수행된 바가 없다. 이 논문은 무선네트워크 기반 지문 방식을 위한 판단나무 방법을 제안하며, 기존의 K-NN 방법 그리고 베이지안 방법과 본 논문이 제안하는 판단나무 방법을 정확도와 실행 시간 측면에서 비교 분석한다.

Application of Wavelet-Based RF Fingerprinting to Enhance Wireless Network Security

  • Klein, Randall W.;Temple, Michael A.;Mendenhall, Michael J.
    • Journal of Communications and Networks
    • /
    • 제11권6호
    • /
    • pp.544-555
    • /
    • 2009
  • This work continues a trend of developments aimed at exploiting the physical layer of the open systems interconnection (OSI) model to enhance wireless network security. The goal is to augment activity occurring across other OSI layers and provide improved safeguards against unauthorized access. Relative to intrusion detection and anti-spoofing, this paper provides details for a proof-of-concept investigation involving "air monitor" applications where physical equipment constraints are not overly restrictive. In this case, RF fingerprinting is emerging as a viable security measure for providing device-specific identification (manufacturer, model, and/or serial number). RF fingerprint features can be extracted from various regions of collected bursts, the detection of which has been extensively researched. Given reliable burst detection, the near-term challenge is to find robust fingerprint features to improve device distinguishability. This is addressed here using wavelet domain (WD) RF fingerprinting based on dual-tree complex wavelet transform (DT-$\mathbb{C}WT$) features extracted from the non-transient preamble response of OFDM-based 802.11a signals. Intra-manufacturer classification performance is evaluated using four like-model Cisco devices with dissimilar serial numbers. WD fingerprinting effectiveness is demonstrated using Fisher-based multiple discriminant analysis (MDA) with maximum likelihood (ML) classification. The effects of varying channel SNR, burst detection error and dissimilar SNRs for MDA/ML training and classification are considered. Relative to time domain (TD) RF fingerprinting, WD fingerprinting with DT-$\mathbb{C}WT$ features emerged as the superior alternative for all scenarios at SNRs below 20 dB while achieving performance gains of up to 8 dB at 80% classification accuracy.

海上 流出油 識別法에 關한 硏究 (Comparative Identification of Oil Spills by Gas Chromatography Fingerprinting)

  • 김영희
    • 한국해양학회지
    • /
    • 제21권2호
    • /
    • pp.118-123
    • /
    • 1986
  • 流出油는 GC分析에 의한 油指紋法(Oil Fingerprinting Method)으로 流出原因油와 比較分析하여 識別한다. 一般的으로는 GC에 의하여 飽和炭化水素, 黃化合物을 分離分析한다. 그러나, 기름의 成分은 複雜하고 流出된 상태에 따라 成分組成이 변하므로 어느 한 成分의 分析에 의한 識別보다는 여러성분에 대한 多角的인 分析에 의한 識別方法이 要求된다. 本 硏究에서는 原油, 重油中에 含有되 어 있는 多環芳香族 炭化水素를 分離分析하였다. 이들은 比較的 安定하기 때문에 時 化의 영향을 적게 받는다. GC에 의한 多環芳香族 炭化水素 分析은 産油地 判別 및 油種을 識別할 수 있는 油脂紋法의 한 方法이다.

  • PDF