• Journal of the Korean Chemical Society
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• v.14 no.2
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• pp.169-177
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• 1970

A study was made on the radioiodination of organic compounds in presence of hydrogen peroxide both in aqueous and organic solvent systems. In case of the reaction of rosebengal, Hippuran, and 5-iodo-uracil the aqueous reaction system could give high labelling yield within a relatively short reaction time. Labelling yield of average 50% could be obtained within 30 minutes of reaction sequence. In cases of organic solvent systems (D.M.S.O., D.M.F., and Dioxane) the solvent system of D.M.S.O. could give better yield for neutral organic compounds, where as D.M.F. and Dioxane gave better labelling result for acidic materials. Especially, o-iodobenzoic acid, o-iodotoluene, and pentachlorophenol could be labelled better in organic solvent system.

• Korean Journal Plant Pathology
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• v.14 no.3
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• pp.229-239
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• 1998

Antibodies were raised against fusion proteins of the N-terminus and a region containing the GDNQ (Gly-Asp-Asn-Gln) polymerase motif of the L (polymerase) protein of sonchus yellow net virus (SYNV). Immunoblot analyses using these antibodies revealed the presence of the L protein in purified SYNV preparations and in nuclear extracts from infected tobacco. The serological analyses and detection in a polyacrylamide gels suggested that the L protein is present in at least a 20 fold lower abundance than the G, N, M1 and M2 proteins, and has size corresponding to a molecular weight of over 200 kDa as predicted from nucleotide sequence data. Electron microscopy with gold-labelled antibodies was used to localize the N, M2, and G proteins of SYNV in thin sections of infected tissue. When sections of SYNV-infected tissue were treated with antisera against total SYNV proteins and N protein, gold label could be detected in both the viroplasms and in virus particles. With the anti-M2 protein antiserum, the gold label was strongly localized in the viroplasms but only limited labelling of the virus particle sonly. Limited labelling of the L protein was observed in the viroplasms and the virus particles, presumably because of the low abundance of L protein in the tissues.

• Annual Conference on Human and Language Technology
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• 2017.10a
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• pp.327-329
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• 2017

개체명 인식(Named Entity Recognition) 시스템은 문서에서 인명(PS), 지명(LC), 단체명(OG)과 같은 개체명을 가지는 단어나 어구를 해당 개체명으로 인식하는 시스템이다. 개체명 인식 시스템을 개발하기 위해 딥러닝 기반의 워드 임베딩(word embedding) 자질과 문장의 형태적 특징 및 기구축 사전(lexicon) 기반의 자질 구성 방법을 제안하고, bi-directional LSTM, CNN, CRF과 같은 모델을 이용하여 구성된 자질을 학습하는 방법을 제안한다. 실험 데이터는 2017 국어 정보시스템 경진대회에서 제공한 2016klpNER 데이터를 이용하였다. 실험은 전체 4258 문장 중 학습 데이터 3406 문장, 검증 데이터 426 문장, 테스트 데이터 426 문장으로 데이터를 나누어 실험을 진행하였다. 실험 결과 본 연구에서 제안하는 모델은 BIO 태깅 방식의 개체 청크 단위 성능 평가 결과 98.9%의 테스트 정확도(test accuracy)와 89.4%의 f1-score를 나타냈다.

• 한국어정보학회:학술대회논문집
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• 2017.10a
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• pp.327-329
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• 2017

개체명 인식(Named Entity Recognition) 시스템은 문서에서 인명(PS), 지명(LC), 단체명(OG)과 같은 개체명을 가지는 단어나 어구를 해당 개체명으로 인식하는 시스템이다. 개체명 인식 시스템을 개발하기 위해 딥러닝 기반의 워드 임베딩(word embedding) 자질과 문장의 형태적 특징 및 기구축 사전(lexicon) 기반의 자질 구성 방법을 제안하고, bi-directional LSTM, CNN, CRF과 같은 모델을 이용하여 구성된 자질을 학습하는 방법을 제안한다. 실험 데이터는 2017 국어 정보시스템 경진대회에서 제공한 2016klpNER 데이터를 이용하였다. 실험은 전체 4258 문장 중 학습 데이터 3406 문장, 검증 데이터 426 문장, 테스트 데이터 426 문장으로 데이터를 나누어 실험을 진행하였다. 실험 결과 본 연구에서 제안하는 모델은 BIO 태깅 방식의 개체 청크 단위 성능 평가 결과 98.9%의 테스트 정확도(test accuracy)와 89.4%의 f1-score를 나타냈다.

• Journal of fish pathology
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• v.8 no.1
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• pp.37-46
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• 1995

The amino acid analysis of polyhedrin protein and nucleotide sequence of polyhedrin gene in H. cunea nuclear polyhedrosis virus (HcNPV) genome have been studied. Polyhedrin had three polypeptide bands in SDS - polyactylamide gel electrophoresis. The major polypeptide had a molecular weight of 25 kd. The polyhedrin was composed of 17 different amino acids. HcNPV DNA was digested with EcoRI restriction enzyme and hybridized with ($\alpha^{32}P$) -labelled AcNPV polyhedrin gene cDNA. The polyhedrin gene was located on the fragment of EcoRI-H. The EcoRI - H fragment containing polyhedrin gene was cloned into the EcoRI site of pUC8 vector which was confirmed with southern blotting, and the recombinant plasmid containg polyhedrin gene was designated as hPE-H. The promoter region of polyhedrin genomic DNA was sequenced. The sequences identified as the TATA box was found at the 5' flanking region of the polyhedrin genomic DNA approximately -79 bp upstream from the transcriptional start site. But CAAT-like box was not shown near the TATA-like box in the polyhedrin gene. Four tandem repeats with the sequence 5' -CTAATAT-3' and 5'-TAAATAA-3' were found between -141 and -108 or -83 upstream and -52 bp downstream from the translation start site. About -141 bp region upstream from the translational start site was highly AT (78%) rich. The coding region for the polyhedrin starts and ends with ATG and TAA, respectively.

• Korean Journal of Plant Tissue Culture
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• v.25 no.1
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• pp.37-43
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• 1998

The highest transformation frequency was observed when cotyledonary and hypocotyl explants of flowering cabbage (Brassica oleracea var. acephala DC) 'Eunbae' were cultured on shoot induction medium without kanamycin for 1 day, then cocultured with Agrobacterium tumefaciens LBA4404;;pGA1036 harboring tomato inhibitor II promoter and $\beta$-glucuronidae (GUS) fusion gene for 3 days. These explants were transferred to MS medium containing 20 mg/L kanamycin, 500 mg/L carbenicillin, and 1 mg/L BA. The explants were subsequently subcultured every 2 weeks. Incorporation of the GUS gene into flowering cabbage was confirmed by PCR analysis of DNA. Southern blot analysis showed that ECL-labeled GUS gene was hybridized to the expected amplified genomic DNA fragment of about 366 bp from transgenic flowering cabbage. Histochemical analysis based on the enzymatic activity of the GUS protein indicated that PI-II promoter activity was sysmatically associated with vascular tissue in wonded as well as in non-wounded leaves, petioles and stems, but not in roots. Partial wounding with razor blade showed not systemic induction but partial induction.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.11
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• pp.789-794
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• 2013

A vehicle tracking system makes it possible to induce the vehicle movement path for avoiding traffic congestion and to prevent traffic accidents in advance by recognizing traffic flow, monitoring vehicles, and detecting road accidents. To track the vehicles effectively, those which appear in a sequence of video frames need to identified by extracting the features of each object in the frames. Next, the identical vehicles over the continuous frames need to be recognized through the matching among the objects' feature values. In this paper, we identify objects by binarizing the difference image between a target and a referential image, and the labelling technique. As feature values, we use the center coordinate of the minimum bounding rectangle(MBR) of the identified object and the averages of 1D FFT(fast Fourier transform) coefficients with respect to the horizontal and vertical direction of the MBR. A vehicle is tracked in such a way that the pair of objects that have the highest similarity among objects in two continuous images are regarded as an identical object. The experimental result shows that the proposed method outperforms the existing methods that use geometrical features in tracking accuracy.

• Journal of Broadcast Engineering
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• v.17 no.4
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• pp.676-683
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• 2012

Motion estimation in video coding greatly affects implementation complexity. In this paper, a reducing method of the complexity in motion estimation is proposed by using both the depth and color cameras. We obtain object information with video sequence from distance information calculated by depth camera, then perform labeling for grouping pixels within similar distances as the same object. Three search regions (background, inside-object, boundary) are determined adaptively for each of motion estimation blocks within current and reference pictures. If a current block is the inside-object region, then motion is searched within the inside-object region of reference picture. Also if a current block is the background region, then motion is searched within the background region of reference picture. From simulation results, we can see that the proposed method compared to the full search method remains the almost same as the motion estimated difference signal and significantly reduces the searching complexity.