• The Korea Journal of Herbology
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• v.37 no.5
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• pp.9-16
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• 2022

Objectives : The purpose of this study is to report that applying the genetic discrimination method to Pinelliae Tuber is suitable as a countermeasure for the limitations of morphological identification announced publicly in the Ministry of Food and Drug Safety(MFDS). Methods : Randomly selected fifty samples in Pinelliae Tuber imported from China were used for morphological and genetic identification. The morphological identification was applied method announced publicly by the MFDS. The traits of morphological identification were classified as Pinellia ternata, P. tripartita, Pinellia pedatisecta, and Typhonium flagelliforme, according to the formation of tuberous root and tuber morphology. The genetic identifications were conducted by Sequence Characterized Amplified Region(SCAR) marker and DNA barcoding analysis for cross-validation, respectively. SCAR marker was verified according to the presence or absence of amplicon through PCR amplification using species-specific primers. DNA barcoding analysis used sequence information of the matK region. Results : As a result of the morphological identification, 27 out of 50 samples were identified as original species 'P. ternata' of genuine 'Pinelliae Tuber', and 23 were identified as adulterant species 'P. pedatisecta'. Unlike this, the genetic identification was identified as the original species 'P. ternata' in all 50 samples in the SCAR marker and matK regional sequence analysis. Conclusions : Pinelliae Tuber of morphological mutant that can not be classified by morphological identification is imported from China. The SCAR marker would be used as accurate and efficient assays for species identification of the morphological mutant.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.190-195
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• 2004

We propose a pattern classification algorithm using self-nonself discrimination principle of immune cells and apply it to DNA pattern classification problem. Pattern classification problem in bioinformatics is very important and frequent one. In this paper, we propose a classification algorithm based on the negative selection of the immune system to classify DNA patterns. The negative selection is the process to determine an antigenic receptor that recognize antigens, nonself cells. The immune cells use this antigen receptor to judge whether a self or not. If one composes ${\eta}$ groups of antigenic receptor for ${\eta}$ different patterns, these receptor groups can classify into ${\eta}$ patterns. We propose a pattern classification algorithm based on the negative selection in nucleotide base level and amino acid level. Also to show the validity of our algorithm, experimental results of RNA group classification are presented.

• Bulletin of the Korean Chemical Society
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• v.31 no.7
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• pp.2011-2014
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• 2010

The fluorescence intensity of a single-stranded oligonucleotide containing a fluorene-labeled deoxyuridine $(U^{Fl})$ unit increases by only 1.5-fold upon formation of its perfectly matched duplex. To increase the fluorescence signal during hybridization, we positioned a quencher strand containing a deoxyguanine (dG) nucleobase, functioning as an internal quencher, opposite to the $U^{Fl}$ unit to reduce the intrinsic fluorescence upon hybridization with a probe. From an investigation of the optimal length of the quencher strand and the effect of the neighboring base sequence, we found that a short strand (five-nucleotide) containing all natural nucleotides and dG as an internal quencher was effective at reducing the intrinsic fluorescence of a linear beacon; it also exhibited high total discrimination factors for the formation of perfectly matched and single base-mismatched duplexes. Such assays that function based on clear changes in fluorescence in response to single-base nucleotide mutations would be useful tools for accelerating diagnoses related to various diseases.

• Journal of the Korean Society of Food Science and Nutrition
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• v.3 no.1
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• pp.53-68
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• 1974

The thiohydantoin derivative derived from amino acid was used for the stepwise sequence analysis of peptide or protein from the carboxyl termini. Recently, SUZUKI reported the mass spectrometric identification about a part of these compounds. In this paper, was described the mass spectrometric identification of thiohydantoins derived from 20 amino acids. Mass spectra were obtained with a mass spectrometer, JEOL model JMS-06H and samples were introduced with a direct inlet probe. The molecular ion peaks and fragment ion peaks were identified easily, because these peaks appeared differently every amino acids and specially, it was easy discrimination between leucine and isoleucine. It is suggested that mass spectrometry was one of the useful methods to identify thiohydantoins derived from amino acids.

• Bulletin of the Korean Chemical Society
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• v.32 no.4
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• pp.1183-1186
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• 2011

The unique Br signature was utilized for C-terminal amino acid sequencing of model peptides. C-terminal carboxyl group was selectively derivatized in peptides, containing side chain carboxyl group, using 1-ethyl-3-[3-dimethylaminopropyl]carbodiimide hydrochloride (EDC) and Br was introduced using 4-bromophenylhydrazine hydrochloride (BPH) in a one pot reaction. Matrix-assisted laser desorption/ionization (MALDI) time-of-flight (TOF) tandem mass spectra were obtained carrying the Br signature in the y-series ions. The Br signature facilitated C-terminal sequencing and discrimination of C-terminal carboxyl groups in the free acid and amide forms.

• Journal of Microbiology and Biotechnology
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• v.19 no.3
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• pp.265-270
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• 2009

An oligonucleotide array was developed to detect and genotype mollicutes based on the internal transcribed spacer (ITS) sequence. The results of the assay were compared with those of a PCR-RFLP assay. The proposed oligonucleotide array containing 5 genus- and 23 species-specific probes was able to detect Mycoplasma species, including M. penetrans and M. spermatophilum, that were not detected by the PCR-RFLP assay. Therefore, the results demonstrated that the proposed oligonucleotide array was effective for the detection and discrimination of 23 species, including an acholeplasma, 21 mycoplasmas, and a ureaplasma, and showed promise as a countermeasure to ensure that biological products are safe and of good quality.

• Journal of Microbiology and Biotechnology
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• v.24 no.7
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• pp.954-958
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• 2014

Succinic semialdehyde dehydrogenase (SSADH) catalyzes the oxidation of succinic semialdehyde (SSA) into succinic acid in the final step of ${\gamma}$-aminobutyric acid degradation. Here, we characterized Bacillus subtilis SSADH (BsSSADH) regarding its cofactor discrimination and substrate inhibition. BsSSADH showed similar values of the catalytic efficiency ($k_{ca}t/K_m$) in both $NAD^+$ and $NADP^+$ as cofactors, and exhibited complete uncompetitive substrate inhibition at higher SSA concentrations. Further analyses of the sequence alignment and homology modeling indicated that the residues of catalytic and cofactor-binding sites in other SSADHs were highly conserved in BsSSADH.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.32B no.11
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• pp.1405-1416
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• 1995

An effective algorithm for implementation of unmanned surveillance system which detects moving object from image sequences, predicts the direction of it, and drives the camera in real time is proposed. Outputs of proposed algorithm are coordinates of location of moving object, and they are converted to the values according to camera model. As a pre- processing, extraction of moving object and shape discrimination are performed. Existence of the moving object or scene change is detected by computing the temporal derivatives of consecutive two or more images in a sequence, and this result of derivatives is combined with the edge map from one original gray level image to obtain the position of moving object. Shape discri-mination(Target identification) is performed by analysis of distribution of projection profiles in x and y directions. To reduce the prediction error due to the fact that the motion cha- racteristic of walking man may have an abrupt change of moving direction, an order adaptive lattice structured linear predictor is proposed.

• Analytical Science and Technology
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• v.17 no.4
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• pp.315-321
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• 2004

The aim of this study was to investigate the evidential value of blue and black ballpoint pens on paper by nondestructive techniques. In this work, 21 blue and 22 black ballpoint pens which were purchased on different brands were analyzed by Raman Spectroscopy and Video Spectral Comparator (VSC). Surface-Enhanced Resonance Raman Spectroscopy (SERRS) with excitation at 685 nm and VSC with several spot light filters were used for the discrimination of ballpoint pen inks. In the SERR spectra, the ballpoint pen inks on paper could be shown sharp spectral bands and distinguished by their band shapes and relative intensities. In the blue and black ballpoint pen inks, the discriminating powers (DP) by SERRS were 0.85 and 0.67 and the DP by VSC were 0.88 and 0.90, respectively. The DP by combined sequence of techniques was all 0.97 in both black and blue ballpoint pen inks.

• Journal of Korea Multimedia Society
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• v.25 no.6
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• pp.807-818
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• 2022

In order to further improve the accuracy and time efficiency of behavior recognition in intelligent monitoring scenarios, a human behavior recognition algorithm based on YOLO combined with LSTM and CNN is proposed. Using the real-time nature of YOLO target detection, firstly, the specific behavior in the surveillance video is detected in real time, and the depth feature extraction is performed after obtaining the target size, location and other information; Then, remove noise data from irrelevant areas in the image; Finally, combined with LSTM modeling and processing time series, the final behavior discrimination is made for the behavior action sequence in the surveillance video. Experiments in the MSR and KTH datasets show that the average recognition rate of each behavior reaches 98.42% and 96.6%, and the average recognition speed reaches 210ms and 220ms. The method in this paper has a good effect on the intelligence behavior recognition.