• 제목/요약/키워드: Fingerprinting technique

검색결과 81건 처리시간 0.028초

Fingerprinting of Rice Genomes Using PCR with Arbitrary Primers

  • Park, Kyong-Hee
    • Preventive Nutrition and Food Science
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    • 제3권2호
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    • pp.198-202
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    • 1998
  • The arbitrary primed polymerase chain reaction (AP-PCR) has been used to detect the genetic alternations in the related species. Simple and reproducible fingerprints of complex genomes can be generated using single arbitrary chosen primers and the PCR. The technique was applied to the Oryza species and characterized the relationship among three cultivars of rice species based on theresult of genomic DNA fingerprints. The results indicated that the polymorphism revealed in rice strains and the differences in the PCR product pattern could be represented for each strainis. There was many variationsin the PCR product pattern between cv. Dongin(japonica type)and cv.Hyangdo (indica type), and our chosen AP-primers can ge as markers for strain identification and verfication.

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Comparative AFLP Profiles among Strains of Korean Races of Xanthomonas oryzae pv. oryzae.

  • Kang, Mi-Hyung;Lee, Du-Ku;Noh, Tae-Hwan;Shim, Hyeong-Kwon;Na, Seung-Yong;Kim, Jae-Duk
    • Plant Resources
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    • 제7권1호
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    • pp.65-68
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    • 2004
  • We used an amplified fragment length polymorphism (AFLP) analysis, a novel PCR-based technique, to differentiate Xanthomonas oryzae pv. oryzae (Xoo) of Korean races. The 6 strains of Xoo K1, K2, K3 races were tested with 81 AFLP primer combinations to identify the best selective primers. The primer combinations were selected according to their reproducibility, number of polymorphic bands and polymorphism detected among Xoo strains. 18 strains of Xoo K1, K2 and K3 races were analyzed with the selected combinations of primer set. Some primer combinations (Eco R I +1 / Mse I+1) could differentiate Xoo of Korean races that were not distinguished by other fingerprinting analysis. Thus AFLP fingerprinting permitted very fine discrimination among different races.

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Improved LTE Fingerprint Positioning Through Clustering-based Repeater Detection and Outlier Removal

  • Kwon, Jae Uk;Chae, Myeong Seok;Cho, Seong Yun
    • Journal of Positioning, Navigation, and Timing
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    • 제11권4호
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    • pp.369-379
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    • 2022
  • In weighted k-nearest neighbor (WkNN)-based Fingerprinting positioning step, a process of comparing the requested positioning signal with signal information for each reference point stored in the fingerprint DB is performed. At this time, the higher the number of matched base station identifiers, the higher the possibility that the terminal exists in the corresponding location, and in fact, an additional weight is added to the location in proportion to the number of matching base stations. On the other hand, if the matching number of base stations is small, the selected candidate reference point has high dependence on the similarity value of the signal. But one problem arises here. The positioning signal can be compared with the repeater signal in the signal information stored on the DB, and the corresponding reference point can be selected as a candidate location. The selected reference point is likely to be an outlier, and if a certain weight is applied to the corresponding location, the error of the estimated location information increases. In order to solve this problem, this paper proposes a WkNN technique including an outlier removal function. To this end, it is first determined whether the repeater signal is included in the DB information of the matched base station. If the reference point for the repeater signal is selected as the candidate position, the reference position corresponding to the outlier is removed based on the clustering technique. The performance of the proposed technique is verified through data acquired in Seocho 1 and 2 dongs in Seoul.

Anti-inflammatory Activities of Lupane-triterpenoids In Vitro and Their Phytochemical Fingerprinting from Leaves of Acanthopanax gracilistylus

  • Li, Xiao Jun;Dai, Ling;Li, Zhi;Zhang, Xiao Dan;Liu, Xiang Qian;Zou, Qin Peng;Xie, Xia
    • Natural Product Sciences
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    • 제21권2호
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    • pp.104-110
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    • 2015
  • The activities on the inhibition of NO on LPS-induced RAW 264.7 macrophages were investigated in this work. A simple and sensitive method has been developed and validated for fingerprinting analysis of leaves of Acanthopanax gracilistylus W.W. Smith (AGS). The cytotoxicity and inhibition of NO on LPS-induced RAW 264.7 cells of the extract and triterpenoids were determined. Optimal conditions of HPLC analysis were established as follows. The separation was performed with an ODS-C18 column at $30^{\circ}C$, the detected wavelength was 210 nm, the flow rate was 1 mL/min, and the mobile phase consisted of acetonitrile (0.05% phosphoric acid)-0.05% phosphoric acid solution with gradient elution. Our results showed that impressic acid and acankoreaogenin was more effective on the inhibition of NO than the methanol extract and other compounds. There were seventeen peaks coexisted with similarities above 0.95 and nine lupane-triterpenoids including acankoreaogenin and impressic acid detected and identified. The result of anti-inflammatory activities provides a potential explanation for the use of AGS leaves as a herbal medicine in the treatment of inflammatory diseases. Our results also show that acankoreanogenin and impressic acid may be potentially useful in developing new anti-inflammatory agents. In addition, the fingerprint chromatography clearly illustrated and confirmed the material basis for the anti-inflammatory activities of this plant.

그래프 기반 Wi-Fi 신호 지도 구축 및 갱신 기법 (Graph-based Wi-Fi Radio Map Construction and Update Method)

  • 유수빈;최원익
    • 정보과학회 논문지
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    • 제44권6호
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    • pp.643-648
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    • 2017
  • Wi-Fi 기반 실내 측위 기법 중 핑거프린팅 측위는 높은 정밀도로 가장 보편적인 기술 중 하나이다. 그러나 초기 신호 지도 구축과 이 후 갱신 과정은 수동으로 이루어져 많은 노동력과 시간 비용을 발생시키는 단점이 있다. 본 논문에서는 그래프를 기반으로 각 정점에서 초기 신호 지도를 구축 하는 것을 제안한다. 그리고 사용자로부터 획득한 신호 세기 데이터를 각 간선에 참조 위치를 생성하여 자동으로 매핑하여 신호 지도를 갱신하는 방법을 제안한다. 제안하는 방식은 초기 신호 지도를 그래프의 정점에서만 신호를 수집하여 구축하고 갱신은 자동으로 수행하므로 기존 핑거프린팅 무선 측위 기법의 단점인 노동력과 시간 비용을 크게 감소시킬 수 있다. 실험 결과, 실제 위치에서의 데이터와의 비교를 통해 신호 지도 갱신 기법을 검증할 수 있었고 자동으로 신호 지도를 갱신하는 작업으로 약 3.2m, 3.5m의 정밀도를 갖는 신호 지도를 구축할 수 있었다.

Efficient Kernel Based 3-D Source Localization via Tensor Completion

  • Lu, Shan;Zhang, Jun;Ma, Xianmin;Kan, Changju
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권1호
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    • pp.206-221
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    • 2019
  • Source localization in three-dimensional (3-D) wireless sensor networks (WSNs) is becoming a major research focus. Due to the complicated air-ground environments in 3-D positioning, many of the traditional localization methods, such as received signal strength (RSS) may have relatively poor accuracy performance. Benefit from prior learning mechanisms, fingerprinting-based localization methods are less sensitive to complex conditions and can provide relatively accurate localization performance. However, fingerprinting-based methods require training data at each grid point for constructing the fingerprint database, the overhead of which is very high, particularly for 3-D localization. Also, some of measured data may be unavailable due to the interference of a complicated environment. In this paper, we propose an efficient kernel based 3-D localization algorithm via tensor completion. We first exploit the spatial correlation of the RSS data and demonstrate the low rank property of the RSS data matrix. Based on this, a new training scheme is proposed that uses tensor completion to recover the missing data of the fingerprint database. Finally, we propose a kernel based learning technique in the matching phase to improve the sensitivity and accuracy in the final source position estimation. Simulation results show that our new method can effectively eliminate the impairment caused by incomplete sensing data to improve the localization performance.

Walking/Non-walking and Indoor/Outdoor Cognitive-based PDR/GPS/WiFi Integrated Pedestrian Navigation for Smartphones

  • Eui Yeon Cho;Jae Uk Kwon;Seong Yun Cho;JaeJun Yoo;Seonghun Seo
    • Journal of Positioning, Navigation, and Timing
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    • 제12권4호
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    • pp.399-408
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    • 2023
  • In this paper, we propose a solution that enables continuous indoor/outdoor positioning of smartphone users through the integration of Pedestrian Dead Reckoning (PDR) and GPS/WiFi signals. Considering that accurate step detection affects the accuracy of PDR, we propose a Deep Neural Network (DNN)-based technology to distinguish between walking and non-walking signals such as walking in place. Furthermore, in order to integrate PDR with GPS and WiFi signals, a technique is used to select a proper measurement by distinguishing between indoor/outdoor environments based on GPS Dilution of Precision (DOP) information. In addition, we propose a technology to adaptively change the measurement error covariance matrix by detecting measurement outliers that mainly occur in the indoor/outdoor transition section through a residual-based χ2 test. It is verified through experiments on a testbed that these technologies significantly improve the performance of PDR and PDR/GPS/WiFi fingerprinting-based integrated pedestrian navigation.

PCR-DGGE 방법을 이용한 북한강 수계 호수의 플랑크톤 군집 분석 (Plankton community analysis in the lake of North-Han river system using PCR-DGGE method)

  • 김윤정;김민경;이상돈
    • 한국습지학회지
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    • 제14권3호
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    • pp.419-428
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    • 2012
  • 식물플랑크톤의 동정은 숙련된 전문가에게도 어려운 과제이다. 별 특징없는 외형과 다양한 크기와 종은 형태학적으로 구분하기에 어려움이 있다. 본 연구에서는 미생물 군집의 다양성을 분석하는데 효과적인 fingerprinting 기법인 PCR-DGGE 방법을 사용하여 이런 형태학적 동정의 제한점을 보완하고자 하는데 목적이 있다. 5곳의 호수 샘플로부터 2008년 8월 총 46개의 band를 찾을 수 있었고, 2008년 11월 총 26개 band를 찾을 수 있었다. 이 fingerprint 결과는 각각 다른 샘플링 장소를 비교하는데 용이하였다. 본 연구에서 PCR-DGGE 방법은 북한강 호수들의 플랑크톤 군집의 다양성을 파악하는데 사용되었고, 이 DGGE 기법이 플랑크톤의 동정기법으로써의 가능성을 검토해보았다.

Design and Implementation of Indoor Positioning & Shortest Path Navigation System Using GPS and Beacons in Narrow Buildings

  • Sang-Hyeon, Park;Huhnkuk, Lim
    • 한국컴퓨터정보학회논문지
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    • 제28권3호
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    • pp.11-16
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    • 2023
  • 실내 측위를 위한 기법으로 Fingerprinting, 삼변 측량을 이용한 실내 위치 측위 방법, Wi-Fi / Bluetooth 등 장비로 얻은 정보를 활용하여 사용자의 실내 위치를 특정 하는 것이 일반적이고 대표적인 방법이다. 하지만 이러한 방법들은 실내 공간이 다수의 장비(AP, Beacon)를 설치할 수 있을 만큼의 장소가 마련되어야 한다. 본 논문에서는 폭이 좁은 건물 등 기존 방식을 적용할 수 없는 건물 구조에서 GPS 신호와 비콘 으로부터 전달된 신호를 동시에 이용하여 건물 내 사용자의 위치를 표현할 수 있는 기법을 제안한다. 또한 최단 경로 탐색을 위해 가장 대표적이고 효율적인 최단 경로 탐색 알고리즘 중의 하나인 다익스트라 알고리즘(Dijkstra Algorithm)를 적용하여 최단 경로 탐색 시스템을 설계 구현했다. 제안된 기법은 향후 건물 구조 특성을 고려한 사용자 실내 위치 측정 방법 중 하나로 고려될 수 있을 것이다.