• 제목/요약/키워드: discriminate

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RAPD마커를 이용한 황기의 유전적 다양성 및 기원판별 (Genetic Diversity and Discrimination of Astragalus Membranaceus Bunge and A. Membranaceus var. Mogholicus Using RAPD Markers)

  • 방경환;허만규;조준형
    • 동의생리병리학회지
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    • 제18권3호
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    • pp.825-829
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    • 2004
  • This study was carried out to differentiate the origins of Astragalus membranaceus Bunge and A. membranaceus Bunge var. mogholicus Nakai. To identify the variation of the RAPD patterns between domestic and foreign Astragalus species, 40 random primers were applied to ten accessions of A. membranaceus and six accessions of A. membranaceus var. mogholicus genomic DNA, respectively, Ten primers of 40 primers could be used to discriminate the origins and 33 polymorph isms among 44 scored DNA fragments (33 fragments are specific for A. membranaceus and A. membranaceus var. mogholicus) were generated using these primers, 75.0 % of which were polymorphic. Especially, three primers of ten primers, OPA17, OPA11 and OPB11, were useful to differentiate between domestic and foreign Astragalus species. RAPD data from the 10 primers were used for cluster analysis and cluster analysis of RAPD markers showed that the two groups are distinct genetically. Consequently, RAPD analysis was a useful method to discriminate between A. membranaceus and A. membranaceus var. mogholicus.

A Simple Polymerase Chain Reaction-based Method for the Discrimination of Three Chicken Breeds

  • Kubo, Y.;Plastow, G.;Mitsuhashi, Tadayoshi
    • Asian-Australasian Journal of Animal Sciences
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    • 제22권9호
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    • pp.1241-1247
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    • 2009
  • A large number of branded chicken products exist in Japan, and in some cases, the breed of chicken is an important factor used to attract consumer interest in the retail product. In order to establish a simple method for verifying such breed claims we applied the amplified fragment length polymorphism (AFLP) technique to nine chicken breeds (White Cornish, Red Cornish, White Plymouth Rock, New Hampshire, Rhode Island Red, Barred Plymouth Rock, Hinaidori, Tosajidori, Tsushimajidori) to search for molecular markers able to discriminate chicken breeds. Three breed-specific single nucleotide polymorphisms (SNP) were identified, one for each of Hinaidori, Tosajidori, or New Hampshire. A total of 219 individuals from the nine breeds were analyzed using a specific PCR test for each of these SNP. The PCR tests made it possible to discriminate between the breeds of chickens to identify products from these three breeds. This PCR method provides an efficient method for the routine analysis and verification of certified chicken products.

Optimized Polynomial Neural Network Classifier Designed with the Aid of Space Search Simultaneous Tuning Strategy and Data Preprocessing Techniques

  • Huang, Wei;Oh, Sung-Kwun
    • Journal of Electrical Engineering and Technology
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    • 제12권2호
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    • pp.911-917
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    • 2017
  • There are generally three folds when developing neural network classifiers. They are as follows: 1) discriminant function; 2) lots of parameters in the design of classifier; and 3) high dimensional training data. Along with this viewpoint, we propose space search optimized polynomial neural network classifier (PNNC) with the aid of data preprocessing technique and simultaneous tuning strategy, which is a balance optimization strategy used in the design of PNNC when running space search optimization. Unlike the conventional probabilistic neural network classifier, the proposed neural network classifier adopts two type of polynomials for developing discriminant functions. The overall optimization of PNNC is realized with the aid of so-called structure optimization and parameter optimization with the use of simultaneous tuning strategy. Space search optimization algorithm is considered as a optimize vehicle to help the implement both structure and parameter optimization in the construction of PNNC. Furthermore, principal component analysis and linear discriminate analysis are selected as the data preprocessing techniques for PNNC. Experimental results show that the proposed neural network classifier obtains better performance in comparison with some other well-known classifiers in terms of accuracy classification rate.

천궁류(川芎類) 한약재의 유전자 감식 연구 (The Relative Identification of C. officinale and L. chuanxiong by PCR-Mediated Fingerprinting)

  • 최호영;김동욱;김동은;서영배;함인혜
    • 대한본초학회지
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    • 제20권4호
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    • pp.151-161
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    • 2005
  • Objectives : Our research purpose is to establish the standard identification analysis on C. officinale and L. chuanxiong in Korea and China by PCR-mediated fingerprinting. Methods : The Restriction Fragment Length Polymorphism (RFLP) and Randomly Amplified Polymorphic DNA (RAPD) method was used on Internal Transcribed Spacer (ITS) regions and rbcL regions to compare and discriminate genes extracted from crude drugs as C. officinale and L. chuanxiong in Korea and China. Results : L. chuanxiong Korea and China have very similar polymorphism, whereas L. chuanxiong in Korea and C. officinale have very different polymorphism in RFLP. And restriction enzymes AluI and SacI forms the specific fragment band only in C. officinale, they can be used as RFLP marker on ITS regions to discriminate among the species. Conclusions : The results could be applied in discriminating crude drugs among C. officinale and L. chuanxiong in Korea and China. Also they could be used in controlling drug quality, preserving medicinal plants, and improving plant description.

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SELECTION OF VISIBLE/NIR WAVELENGTHS FOR CHARACTERIZING FECAL AND INGESTA CONTAMINATION OF POULTRY CARCASSES

  • William R.Windham;Park, Bosoon;Kurt C.Lawarece;Douglas P.Smith
    • 한국근적외분광분석학회:학술대회논문집
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    • 한국근적외분광분석학회 2001년도 NIR-2001
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    • pp.3105-3105
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    • 2001
  • Ingests and fecal contamination on a poultry carcass is a food safety hazard due to potential microbiological contamination. A visible/near-infrared (NIR) spectrometer was used to discriminate among pure ingesta and fecal material, breast skin contaminated with ingesta or fecal material and uncontaminated breast skin. Birds were fed isocaloric diets formulated with either maize, mile, or wheat and soybean meal for protein requirements. Following completion of the feeding period (14 days), the birds were humanely processed and eviscerated to obtain ingests from the crop or proventriculus and feces from the duodenum, ceca, and colon portion of the digestive tract. Pure feces and ingesta, breast skin, and contaminated breast skin were scanned from 400 to 2500 nm and analyzed from 400 to 900 nm. Principal component analysis (PCA) of reflectance spectra was used to discriminate between contaminates and uncontaminated breast skin. Results indicate that visible (400 to 760 nm) and NIR 760-900 nm spectra can detect contaminates. From PCA analysis, key wavelengths were identified for discrimination of uncontaminated skin from contaminates based the evaluation of loadings weights.

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Fault ride-through 요구를 고려한 풍력발전단지 연계선 보호 거리계전 알고리즘 (Distance Relaying Algorithm for Intertie Protection of a Wind Farm Considering the Fault Ride-through Requirement)

  • 강용철;강해권;정태영;김연희;이영귀
    • 전기학회논문지
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    • 제59권6호
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    • pp.1053-1058
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    • 2010
  • A large modern wind farm should satisfy the requirements for a grid and accomplish the optimization of the wind farm system. The wind farm intertie protection system should consider a Fault Ride-Through (FRT) requirement for more reliable protection. The wind farm should keep connected to the grid in the case of a grid fault whilst it should be isolated for an intertie fault. This paper proposes a distance relaying algorithm suitable for wind farm intertie protection considering the FRT requirement. The proposed algorithm estimates the impedance based on a differential equation method because the frequency of the voltage and current deviates the nominal frequency. The algorithm extends the reach of Zone 1 up to 100 % of the length of the intertie to implement the FRT requirement. To discriminate an intertie fault from a grid fault, the algorithm uses a voltage blocking scheme because the magnitude of the voltage at the relaying point for an intertie fault becomes less than that for a grid fault. The performance of the algorithm is verified using a PSCAD/EMTDC simulator under various fault conditions. The algorithm can discriminate successfully the intertie fault from grid fault and thus helps to implement the FRT requirement of a wind farm.

소프트웨어 소스 코드의 저작권 관리를 위한 디지털 라이센스의 검색 (Digital License Searching for Copyright Management of Software Source Code)

  • 차병래
    • 한국콘텐츠학회논문지
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    • 제7권1호
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    • pp.21-31
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    • 2007
  • 지적재산권 제도는 21세기 정보화 사회의 발전에 있어서도 중요한 역할을 하고 있다. 국가 경쟁력 제고를 위해서도 디지털콘텐츠에서 확대하여 소프트웨어 소스 코드에 대한 지적재산권 제도와 기술의 정비는 매우 중요한 의미를 지닌다. 소프트웨어 소스코드의 소유권 분쟁이 발생 시 소유권을 증명하기 위해서는 원본의 소프트웨어 소스코드를 판별해야만 하는 문제점을 갖고 있다. 본 연구에서는 소프트웨어 소스코드의 원본 판별을 지원하기 위한 소프트웨어 소스코드의 디지털 라이센스는 소스코드의 예약어를 파싱하여 계층구조를 갖는 XML 파일로 표현하며, 복잡한 소스코드 대신에 소프트웨어 소스코드의 아키텍처를 트리구조 형태로 표현할 수 있다. 그리고 디지털 라이센스를 검색하기 위한 색인 및 검색에 대한 연구를 수행한다.

소프트웨어 소스 코드의 저작권 관리를 위한 디지털 라이센스의 비교와 분류 그리고 크립텍스 모델 (Discrimination and Comparison of Digital License for Copyright Management of Software Source Code and CRYPTEX Model)

  • 차병래;정영기
    • 한국콘텐츠학회논문지
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    • 제8권1호
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    • pp.246-258
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    • 2008
  • 소프트웨어 산업은 21세기 정보화 사회의 발전에 있어서도 중요한 역할을 하고 있다. 소프트웨어 소스 코드의 소유권 분쟁이 발생 시 소유권을 증명하기 위해서는 원본의 소프트웨어 소스코드를 판별해야만 하는 문제점을 갖고 있다. 본 논문에서는 소프트웨어 소스코드의 원본 판별을 지원하기 위한 소프트웨어 소스코드의 디지털 라이센스는 소스코드의 예약어를 파싱하여 계층구조를 갖는 XML 파일로 표현하며, 복잡한 소스코드 대신에 소프트웨어 소스코드의 노드 패턴과 아키텍처 패턴인 트리 구조 형태로 표현할 수 있다. 그리고 디지털 라이센스에 의한 소스코드의 분류 가능성에 대한 시뮬레이션과 크립텍스 모델을 제안한다.

Molecular Discrimination of Mitis Group Streptococci Isolated from Koreans using RpoB Nucleotide Sequences

  • Park, Soon-Nang;Kook, Joong-Ki
    • International Journal of Oral Biology
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    • 제38권1호
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    • pp.29-36
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    • 2013
  • Mitis group streptococci (MGS) were classified based on the nucleotide sequences 16S rRNA gene (16S rDNA) and comprised 13 Streptococcus species. However, 16S rDNA homogeneity among MGS was too high to discriminate between clinical strains at the species level, notably between Streptococcus mitis, Streptococcus oralis, Streptococcus pneumoniae, and Streptococcus pseudopneumoniae. The purpose of this study was to discriminate between 37 strains of MGS isolated from Korean oral cavities using phylogenetic analysis of the DNA-dependant RNA polymerase beta-subunit gene (rpoB). 16S rDNA and rpoB from clinical strains of MGS were sequenced using the dideoxy chain termination method and analyzed using MEGA version 5 software. The resulting phylogenetic data showed that the rpoB sequences could delineate clinical strains of MGS at the species level. Phylogenetic analysis of rpoB is therefore a useful approach for identifying MGS at the species level.

Discrimination of Gasoline and Diesel Fuels Using Oxide Semiconductor Gas Sensors

  • Moon, Young Kook;Shin, Min Sung;Jo, Young-Moo;Lim, Kyeorei;Lee, Jong-Heun
    • 센서학회지
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    • 제27권4호
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    • pp.221-226
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    • 2018
  • Misfueling accidents significantly damage the engines of both gasoline and diesel vehicles, and should be avoided by rapid and accurate fuel discrimination. Gasoline fuel contains bioethanol. Thus, the detection of ethanol vapor produced by gasoline can be used to distinguish between gasoline and diesel. In the present study, Pt-doped $SnO_2$ hollow nanospheres, Mg-doped $In_2O_3$ hollow microspheres, and Pt-doped ZnO nanostructures have been used as gas sensors to discriminate between gasoline and diesel fuels. All three sensors are able to detect and discriminate between gases evaporating from gasoline and diesel. Among the sensors, the Mg-doped $In_2O_3$ hollow microspheres show a significant gas response (resistance ratio = 4.97) quickly (~3 s) after exposure to gasoline-evaporated gas at $225^{\circ}C$, but did not show any substantial response to diesel-evaporated gas. This demonstrates that gasoline and diesel fuels can be discriminated using small and cost-effective oxide semiconductor gas sensors.