• The Korean Journal of Mycology
• /
• v.27 no.6 s.93
• /
• pp.394-398
• /
• 1999

Taxonomic and genetic analysis of Phytophthora species belonging to six different morphological groups (GI, GII, GIII, GIV, GV, GVI) was conducted using RAPD method. Amplified fragments ranged $0.3{\sim}3.2$ kb in their molecular weights. Among total of 145 bands, there were 109 polymorphic bands. Seven isolates of P. infestans showed high similarities of $0.92{\sim}0.99$, and P. infestans isolate 3 from potato showed similarities of $0.93{\sim}0.95$ compared with other P. infestans. Among isolates of P. capsici, similarities of $0.77{\sim}0.86$ were observed and they were grouped in 80% level. P. cinnamomi and P. cryptogea isolates which belonging to group GVI showed very similar RAPD fingerprinting pattern. Primers OPA-04, OPA-17, OPA-18, OPA-19, and OPB-12 showed high level of differences among the tested isolates in major bands and molecular weights. The similarity between the isolates was 0.67. P. megasperma and P. sojae in group GV showed similarity of 0.65. These two isolates showed big differences in single major band in reactions with primers OPA-08, OPA-17, and OPA-19. Phytophthora-specific and P. infestans-specific molecular markers were also selected with one of the random primers tested. In reaction with primer OPA-20, all the genus Phytophthora showed common band at 600 bp, and all the P. infestans isolates showed specific band at 680 bp. These markers can be useful for identification of Phytophthora speices or P. infestans. As a result, P. infestans isolated from tomato and/or potato can easily be differentiated from other Phytophthora species with this primer.

• International journal of advanced smart convergence
• /
• v.4 no.2
• /
• pp.177-185
• /
• 2015

In this paper we introduce Kernel Fisher Discriminant Analysis (KFDA) to transform our database of received signal strength (RSS) measurements into a smaller dimension space to maximize the difference between reference points (RP) as possible. By KFDA, we can efficiently utilize RSS data than other method so that we can achieve a better performance.

• Korean Journal of Food Science and Technology
• /
• v.37 no.4
• /
• pp.611-617
• /
• 2005

Dispersed repetitive DNA elements in genomes of microorganisms differ among and within species. Because distances between repetitive sequences vary depending on bacterial strains, genomic fingerprinting with interspersed repetitive sequence-based probes can be used to distinguish unrelated organisms. Among well-known bacterial repetitive sequences, Repetitive Extragenic Palindromic (REP) sequence has been used to identify environmental bacterial species and strains. We applied REP-PCR to detect and differentiate four major Gram-negative food-borne bacterial pathogens, E. coli, Salmonella, Shigella, and Vibrio. Target DNA fragments of these pathogens were amplified by REP-PCR method. PCR-generated DNA fragments were separated on 1.5% agarose gel. Dendrograms for PCR products of each strain were constructed using photo-documentation system. REP-PCR reactions with primer pairs REP1R-I and REP2-I revealed distinct REP-PCR-derived genomic fingerprinting patterns from E. coli, Salmonella, Shigella, and Vibrio. REP-PCR method provided clear distinctions among different bacterial species containing REP-repetitive elements and can be widely used for typing food-borne Gram-negative strains. Results showed established REP-PCR reaction conditions and generated dendrograms could be used with other supplementary genotyping or phenotyping methods to identify isolates from outbreak and to estimate relative degrees of genetic similarities among isolates from different outbreaks to determine whether they are clonally related.

• Korean Journal of Medicinal Crop Science
• /
• v.14 no.2
• /
• pp.117-123
• /
• 2006

The purpose is to study the identification method of Huangjinju powder for injection and the medicinal materials by the fingerprint off-ray Diffraction Fourier (XRDF). We used the same method on both the studying of Huangjinju and the medicinal materials. Then we selected a few components alignment to compare. We analyzed the data by setting up the deviation $d({\AA})$ as ${\pm}0.05$ to calculate the rate of special mark on the sample (Px) and on the patent (P). The special XRDF of Huangjinju$[d({\AA})/(I/I_0)]$ have 5 peaks that have not expressed in medicinal materials. Therefore Px is 22.73%. Flos Trollii Chinensis has 3 special marks and Px is 17.65%. Flos Chrysanthemi Indici has 1 special mark and Px is 3.57%. Its coincided interplanar spacing with the patent is $2.907{\AA}$. Flos Lonicerae Japonicae has 6 special marks and Px is 23.08%. Its special mark in the patent are 4.95/14 and 4.50/15, respectively. The P is 9.09%. Its coincided interplanar spacing with the patent is $2.910{\AA}\;and\;3.05{\AA}$, respectively. The number of special XRDF mark peaks of baicalin is 9 and Px is 18.37%. Its coincided interplanar spacing with the patent is $2.910{\AA}$. It has visible mark and specificity adopting XRDF fingerprint to identify Huangjinju and medicinal materials. Establishing the quality standard is a synthetic index that depends both on special marks in the medicinal materials of the patent and on the coincidence peak data.

• Journal of the Korea Society of Computer and Information
• /
• v.28 no.3
• /
• pp.11-16
• /
• 2023

As techniques for indoor positioning, fingerprinting, indoor positioning method using trilateration, and utilizing information obtained from equipments by Wi-Fi/Bluetooth, etc are common and representative methods to specify the user's indoor position. However, in these methods, an indoor space should be provided with enough space to install a large number of equipment (AP, Beacon). In this paper, we propose a technique that can express the user's location within a building by simultaneously using the GPS signal and the signal transmitted from the beacon in a building structure where the conventional method cannot be applied, such as a narrow building. A shortest path search system was designed and implemented by applying the Dijkstra Algorithm, one of the most representative and efficient shortest path search algorithms for shortest path search. The proposed technique can be considered as one of the methods for measuring the user's indoor location considering the structural characteristics of a building in the future.

• Journal of Korea Multimedia Society
• /
• v.20 no.10
• /
• pp.1619-1627
• /
• 2017

Image hashing has been successfully applied for the problems associated with the protection of intellectual property, management of large database and indexation of content. For a reliable hashing system, improving hash matching accuracy is crucial. In order to improve the hash matching performance, we propose an asymmetric hash matching method using the psychovisual threshold, which is the maximum amount of distortion that still allows the human visual system to identity an image. A performance evaluation over sets of image distortions shows that the proposed asymmetric matching method effectively improves the hash matching performance as compared with the conventional Hamming distance.

• Journal of KIISE
• /
• v.41 no.9
• /
• pp.728-743
• /
• 2014

Finger printing and sequence alignment are well-known approaches for document similarity comparison. A fingerprinting method is simple and fast, but it can not find particular similar regions. A string alignment method is used for identifying regions of similarity by arranging the sequences of a string. It has an advantage of finding particular similar regions, but it also has a disadvantage of taking more computing time. The Multi-Level Alignment (MLA) is a new method designed for taking the advantages of both methods. The MLA divides input documents into uniform length blocks, and then extracts fingerprints from each block and calculates similarity of block pairs by comparing the fingerprints. A similarity table is created in this process. Finally, sequence alignment is used for specifying longest similar regions in the similarity table. The MLA allows users to change block's size to control proportion of the fingerprint algorithm and the sequence alignment. As a document is divided into several blocks, similar regions are also fragmented into two or more blocks. To solve this fragmentation problem, we proposed a united block method. Experimentally, we show that computing document's similarity with the united block is more accurate than the original MLA method, with minor time loss.

• Korean Chemical Engineering Research
• /
• v.48 no.2
• /
• pp.147-156
• /
• 2010

There are four key factors for gas-phase biofilters; biocatalysts(microorganisms), packing materials, design/operating techniques, and diagnosis/management techniques. Biofilter performance is significantly affected by microbial community structures as well as loading conditions. The microbial studies on biofilters are mostly performed on basis of culture-dependent methods. Recently, advanced methods have been proposed to characterize the microbial community structure in environmental samples. In this study, the physiological, biochemical and molecular methods for profiling microbial communities are reviewed, and their applicability to biofilters is discussed. Community-level physiological profile is based on the utilization capability of carbon substrate by heterotrophic community in environmental samples. Phospholipid fatty acid analysis method is based on the variability of fatty acids present in cell membranes of different microorganisms. Molecular methods using DNA directly extracted from environmental samples can be divided into "partial community DNA analysis" and "whole community DNA analysis" approaches. The former approaches consist in the analysis of PCR-amplified sequence, the genes of ribosomal operon are the most commonly used sequences. These methods include PCR fragment cloning and genetic fingerprinting such as denaturing gradient gel electrophoresis, terminal-restriction fragment length polymorphism, ribosomal intergenic spacer analysis, and random amplified polymorphic DNA. The whole community DNA analysis methods are total genomic cross-DNA hybridization, thermal denaturation and reassociation of whole extracted DNA and extracted whole DNA fractionation using density gradient.

• ETRI Journal
• /
• v.40 no.4
• /
• pp.531-536
• /
• 2018

The weighted K-nearest neighbor (WKNN) algorithm is used to reduce positioning accuracy, as it uses a fixed number of neighbors to estimate the position. In this paper, we propose a dynamic threshold location algorithm (DH-KNN) to improve positioning accuracy. The proposed algorithm is designed based on a dynamic threshold to determine the number of neighbors and filter out singular reference points (RPs). We compare its performance with the WKNN and Enhanced K-Nearest Neighbor (EKNN) algorithms in test spaces of networks with dimensions of $20m{\times}20m$, $30m{\times}30m$, $40m{\times}40m$ and $50m{\times}50m$. Simulation results show that the maximum position accuracy of DH-KNN improves by 31.1%, and its maximum position error decreases by 23.5%. The results demonstrate that our proposed method achieves better performance than other well-known algorithms.

• Journal of Positioning, Navigation, and Timing
• /
• v.9 no.3
• /
• pp.157-167
• /
• 2020

Fingerprinting method is useful when estimating the location of a requestor based on LTE signals in an urban area. To do this, it is necessary to acquire location-based signals everywhere in the service area for fingerprint DB generation in advance. However, there may be signal uncollected area within a wide service area, which may cause a problem that the positioning accuracy of the requestor is low. In order to solve this problem, in this paper, signal propagation modeling is performed based on the obtained measurements, and based on this model, the signal information in the non-acquisition region is estimated. To this end, techniques for modeling signal propagation according to a method using measurements are proposed. The performance of the proposed techniques is verified based on the measurements obtained on a test bed selected as Seocho-gu, Seoul. As a result, it can be seen that signal propagation modeling performed based on multidivision segmented measurements has the most performance improvement.