• 제목/요약/키워드: recognition specificity

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3축 가속도 센서 데이터에 중력 방향 가중치를 사용한 낙상 인식 알고리듬 (Fall Recognition Algorithm Using Gravity-Weighted 3-Axis Accelerometer Data)

  • 김남호;유윤섭
    • 전자공학회논문지
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    • 제50권6호
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    • pp.254-259
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    • 2013
  • 중력 방향에 대한 가중치를 적용한 3축 가속도 센서 데이터를 낙상 특징 변수로 사용해서 은닉 마르코프 모델(Hidden Markov Model; HMM)에 적용한 새로운 낙상 인식 알고리듬을 제안한다. 기존에 낙상인식에 많이 사용되는 변수인 3축 가속도의 벡터 합(Sum Vector Magnitude, SVM)과 새롭게 정의한 변수인 중력방향가중치를 적용한 3축 가속도의 벡터 합(Gravity-weighted Sum Vector Magnitude, GSVM)를 포함한 다섯 가지 낙상특징변수를 은닉 마르코프 모델에 적용하여 낙상 인식률을 평가하였다. 실험을 통해 얻은 가장 좋은 결과는 중력방향가중치를 적용한 3축 가속도의 벡터 합 변수를 적용한 결과이고 100% 민감도(sensitivity)와 97.96% 특이성(specificity)를 얻었다. 이것은 단순 3축 가속도의 벡터 합 변수에 비해 민감도는 5.2%와 특이성은 4.5% 정도 향상되었다. 단순히 운동량만을 표현하는 3축 가속도의 벡터 합 변수에 비해 중력방향가중치를 적용한 3축 가속도의 벡터 합 변수가 낙상의 움직임에 대한 특징을 잘 표현하기 때문에 높은 인식률을 나타내었다.

제한효소에 대한 용매의 영향 :소수성 용매에 의한 PvuII 특이성 변화 (Solvent Effect on Restriction Endonuclease : Alteration of Specificity of Restriction Endonuclease PvuII in Hydrophobic Solution)

  • 김희정;이강민
    • KSBB Journal
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    • 제9권1호
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    • pp.63-71
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    • 1994
  • During the last decade enzyme reaction in organic solvent has been studied to show that specificity in buffer is different from that in organic solvent. The specificity of restriction enzyme was effected by various factors such as ionic strength, salt organic solvent and temperature. In this study, restriction enzyme PvuII which is used most frequently in genetic engineering and the substrate was vector pGEM3 whose sequence was already known were used. As a result the recognition sequence site was changed in the presence of organic solvents whose Log P are -1.5∼0. Their specificities were contrast with activities were contrasted. Specificities were not changed in organic solvent easily in inactivating enzyme. We think that the enzyme recognition site was not changed randomly but by preferential order. A recombinant vector which does not contain typical cleavage site CAG↓CTG was cleaved in 20% ethanol solution. This result might show that restriction enzyme could be used to cleave at unusual sites by changing the reaction conditions.

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Pattern Recognition for Typification of Whiskies and Brandies in the Volatile Components using Gas Chromatographic Data

  • Myoung, Sungmin;Oh, Chang-Hwan
    • 한국컴퓨터정보학회논문지
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    • 제21권5호
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    • pp.167-175
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    • 2016
  • The volatile component analysis of 82 commercialized liquors(44 samples of single malt whisky, 20 samples of blended whisky and 18 samples of brandy) was carried out by gas chromatography after liquid-liquid extraction with dichloromethane. Pattern recognition techniques such as principle component analysis(PCA), cluster analysis(CA), linear discriminant analysis(LDA) and partial least square discriminant analysis(PLSDA) were applied for the discrimination of different liquor categories. Classification rules were validated by considering sensitivity and specificity of each class. Both techniques, LDA and PLSDA, gave 100% sensitivity and specificity for all of the categories. These results suggested that the common characteristics and identities as typification of whiskies and brandys was founded by using multivariate data analysis method.

제한효소의 인식자리 변화 -BamHI 특이성에 미치는 산도와 소수성의 영향- (Alteration of Recognition Sequence by Restriction Endonuclease -Effect of pH and Hydrophobicity on BamHI-)

  • 이강민
    • KSBB Journal
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    • 제11권2호
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    • pp.193-200
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    • 1996
  • DNA를 인식하여 절단하는 제한효소의 발견은 유전자를 연구, 조작할 수 있게 되어 분자생물학 연구에 큰 발전을 가져 왔다. 제한효소의 인식자리는 반 응용액의 산도, 유기용애의 소수성에 따라서 달라질 수 있다. 제한 효소 BamHI의 특이성 변화는 유기용 매의 소수성CLogP)과 산도에 직접적인 관계가 있다. 제한효소 BamHI의 인식자리의 특이성 변화는 산도 7.5에셔 LogP값이 -1.3~-1.35, 8.0에서 -1. 0 03~-2.5, 8.5에서 0.75~-2.5, 8.9에서 -0.32 ~­2 2.5 벙위에셔 각각 나타난다. 통일한 유기용매 혼합 물에서 산도가 알카리 일수록 낮은 유기용매 놓도에 서 특이성의 변화가 나타난다. DMSO용액에서 Bam H HI의 특이성 변화는 산도가 7.5일때 20% 농도에서 나타나지만 산도가 8.9일때는 4%에서 나타난다.

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Production and Characterization of Monoclonal Antibodies to Yeast Mitochondrial RNA Polymerase Specificity Factor

  • Lee, Chang-Hwan;Jang, Sei-Heon
    • BMB Reports
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    • 제31권6호
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    • pp.607-610
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    • 1998
  • Transcription of mitochondrial DNA in the yeast S. cerevisiae depends on recognition of a consensus nonanucleotide promoter sequence by mitochondrial RNA polymerase specificity factor, which is a 43 kDa polypeptide encoded by the nuclear MTF1 gene. Mtf1p has only limited amino acid sequence homology to bacterial sigma factors, but functions in many ways like sigma in that it is required for promoter recognition and initiation of transcription. To analyze the corebinding region of Mtf1p, monoclonal antibodies to this protein were prepared. Recombinant Mtf1p overproduced in E. coli was purified to near homogeneity and used to raise monoclonal antibodies (mAbs). From fused cells screened for Mtf1p mAbs by immunodot blot analysis, 19 positive clones were initially isolated. Further analysis of positive clones by Western blotting resulted in 4 mAbs of Mtf1p.

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Substrate specificity of bacterial endoribonuclease toxins

  • Han, Yoontak;Lee, Eun-Jin
    • BMB Reports
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    • 제53권12호
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    • pp.611-621
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    • 2020
  • Bacterial endoribonuclease toxins belong to a protein family that inhibits bacterial growth by degrading mRNA or rRNA sequences. The toxin genes are organized in pairs with its cognate antitoxins in the chromosome and thus the activities of the toxins are antagonized by antitoxin proteins or RNAs during active translation. In response to a variety of cellular stresses, the endoribonuclease toxins appear to be released from antitoxin molecules via proteolytic cleavage of antitoxin proteins or preferential degradation of antitoxin RNAs and cleave a diverse range of mRNA or rRNA sequences in a sequence-specific or codon-specific manner, resulting in various biological phenomena such as antibiotic tolerance and persister cell formation. Given that substrate specificity of each endoribonuclease toxin is determined by its structure and the composition of active site residues, we summarize the biology, structure, and substrate specificity of the updated bacterial endoribonuclease toxins.

Molecular Mechanisms Involved in Bacterial Speck Disease Resistance of Tomato

  • Kim, Young-Jin;Gregory B. Martin
    • The Plant Pathology Journal
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    • 제20권1호
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    • pp.7-12
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    • 2004
  • An important recent advance in the field of plant-microbe interactions has been the cloning of genes that confer resistance to specific viruses, bacteria, fungi or insects. Disease resistance (R) genes encode proteins with predicted structural motifs consistent with them having roles in signal recognition and transduction. Plant disease resistance is the result of an innate host defense mechanism, which relies on the ability of plant to recognize pathogen invasion and efficiently mount defense responses. In tomato, resistance to the pathogen Pseudomonas syringae pv. tomato is mediated by the specific recognition between the tomato serine/threonine kinase Pto and bacterial protein AvrPto or AvrPtoB. This recognition event initiates signaling events that lead to defense responses including an oxidative burst, the hypersensitive response (HR), and expression of pathogenesis- related genes.

질감을 이용한 차량모델 인식 알고리즘 (Algorithm Based on Texture for the Recognition of Vehicles' Model)

  • 이효종
    • 정보처리학회논문지B
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    • 제12B권3호
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    • pp.257-264
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    • 2005
  • 사회가 발전하면서 자동차의 수요도 세계적으로 급증하고 있다. 교통제어나 차량에 연관된 범죄 둥을 해결하는데 자동차의 인식 기술이 중요하기 때문에 이에 관련된 번호판 인식이나 교통량 측정에 관한 연구는 오래 전부터 수행되어왔다. 본 논문에서는 주행차량의 제조회사와 차량 모델을 인식하는 방법을 제시하였다. 차종의 인식은 차량 전면부 영역의 질감을 이용하여 인식하였다. 번호판 상단의 라디에이터 영역에서 질감 특징자를 추출하여 신경망을 통한 차종별 학습을 시켜서 인식을 시도하였다. 제안 알고리즘에서 차종의 정인식은 $93.7\%$, 이종차량의 감별은 $99.7\%$로 양호하게 나타났다.

프로모터 예측을 위한 다중 결정 모델 지능 시스템 (Intelligent System for Promoter Recognition with Multiple Decision Models)

  • Yeo, Sang-Soo;Rhee, Jung-Won;Kim, Sung-Kwon
    • 한국생물정보학회:학술대회논문집
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    • 한국생물정보시스템생물학회 2003년도 제2차 연례학술대회 발표논문집
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    • pp.179-182
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    • 2003
  • The Development of promoter recognition systems is a interesting problem in computational biology. In this paper, we introduce a intelligent system fur promoter recognition with multiple decision models using artificial neural networks. We have trained this models with 1871 human promoter sequences and 5230exon and intron sequences. Our system is found to perform better than other promoter finding systems insensitivity and specificity measures. We have tested our system with Chromosome 22 dataset.

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