• Journal of Microbiology and Biotechnology
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• v.16 no.1
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• pp.92-101
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• 2006

The bacterial diversity of the bovine rumen was examined using a PCR-based approach. 16S rDNA sequences were amplified and cloned from three fractions of rumen (solid, fluid, and epithelium) that are likely to represent different bacterial niches. A total of 113 clones were sequenced, and similarities to known l6S rDNA sequences were examined. About $47.8\%$ of the sequences had $90-97\%$ similarity to 16S rDNA database sequences. Furthermore, about $62.2\%$ of the sequences were $98-100\%$ similar to 16S rDNA database sequences. For the remaining $6.1\%$, the similarity was less than $90\%$. Phylogenetic analysis was also used to infer the makeup of the bacterial communities in the different rumen fractions. The Cytophaga-Flexibacter-Bacteroides group (CFB, $67.5\%$), low G+C Gram-positive bacteria (LGCGPB, $30\%$), and Proteobacteria $(2.5\%)$ were represented in the rumen fluid clone set; LGCGPB $(75.7\%)$, CFB$(10.8\%)$, Proteobacteria $(5.4\%)$, high G+C Gram-positive bacteria (HGCGPB, $5.4\%$), and Spirochaetes $(2.7\%)$ were represented in the rumen solid clone set; and the CFB group $(94.4\%)$ and LGCGPB $(5.6\%)$ were represented in the rumen epithelium clone set. These findings suggest that the rumen fluid, solid, and epithelium support different microbial populations that may play specific roles in rumen function.

• Food Science and Biotechnology
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• v.17 no.2
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• pp.357-361
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• 2008

One of the major allergenic proteins in common buckwheat (Fagopyrum elculentum) was found to be a BW10KD. In this work, allergenic BW10KD genomic DNAs from the native common buckwheat 'Pyeongchang' and Tartarian buckwheat 'Clfa47' were cloned by polymerase chain reaction (PCR), and their nucleotide sequences were determined. In addition, a novel PCR assay targeting the allergenic BW10KD gene was developed to detect and differentiate both buckwheat species in food. The nucleotide sequences of the BW10KD genomic DNA from 'Pyeongchang' and 'Clfa47' were 94% identical. Base differences in the nucleotide sequences of the BW10KD genes are probably useful as a molecular marker for species-specific identification. The 'Pyeongchang'-specific primer set 154PF/400PR and the 'Clfa47'-specific primer set 154DF/253DR generated 247 and 100 bp fragments in singleplex PCR, respectively. A duplex PCR assay with 2 species-specific primer sets simultaneously differentiated the 'Pyeongchang' and 'Clfa47' in a single reaction. The PCR assay also successfully allowed for the rapid detection of buckwheat ingredients in foods.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.5
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• pp.1201-1208
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• 2010

In this paper, we propose an image encryption method using two linear MLCA(Maximum Length Cellular Automata). The encryption method first sets arbitrary 8 bit initial values. Next, we create high quality PN(pseudo noise) sequences by converting rows and columns with the set initial values. hen we generate a basis image using the set PN sequences. Lastly, the final image with high encryption level is produced by XOR operation of the basis image and the original image. In order to verify that the proposed method has the high encryption level, we performed histogram and stability analysis.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.953-955
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• 2009

In this paper, we propose an image encryption method using two linear MLCA(Maximum Length Cellular Automata). The encryption method first sets arbitrary 8 bit initial values. Next, we create high quality PN(pseudo noise) sequences by converting rows and columns with the set initial values. Then we generate a basis image using the set PN sequences. Lastly, the final image with high encryption level is produced by XOR operating the basis image and the original image. In order to verify that the proposed method has the high encryption level, we performed histogram and stability analysis.

• The Korea Journal of Herbology
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• v.33 no.3
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• pp.25-35
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• 2018

Objectives : Lepidii seu Descurainiae Semen has been frequently adulterated with the seeds of several inauthentic plant species. However, the accurate identification of these plant seeds is very difficult. To develop a reliable genetic authentication tool for Lepidii seu Descurainiae Semen, we analyzed matK sequence. Methods : To obtain the matK sequences of plant materials, genomic DNA was extracted from 24 samples and PCR amplification was carried out using matK-AF/matK-8R universal primer set and matK-LDSF/matK-LDSR primer set. For identifying species-specific nucleotides and phylogenetic analysis, matK regions were sequenced and comparatively analyzed by the ClustalW and Maximum Likelihood method. Results : We developed a new primer set to amplify matK region in Lepidii seu Descurainiae Semen and closely related plant samples. From the comparative analysis of matK sequences, we identified species-specific marker nucleotides for D. sophia, L. apetalum, L. latifolium, E. cheiranthoides, E. macilentum, and D. nemorosa, respectively. Furthermore, phylogenetic analysis revealed clear classification depending on the species. These results indicated that the matK sequence obtained a new primer set in this study was useful to identify Lepidii seu Descurainiae Semen in species level. Conclusions : We developed a primer set and identified species-specific marker nucleotides enough to distinguish authentic Lepidii seu Descurainiae Semen and adulterants at the species level based on the matK sequences. These genetic tool will be useful to prevent adulteration and to standardize the quality of Lepidii seu Descurainiae Semen.

• Journal of applied mathematics & informatics
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• v.30 no.3_4
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• pp.647-653
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• 2012

In this paper, we consider fuzzy random sets as (measurable) mappings from a probability space into the set of fuzzy sets and prove a uniform strong law of large numbers for sequences of independent and identically distributed fuzzy random sets. Our results generalize those of Bass and Pyke(1984)and Jang and Kwon(1998).

• Genomics & Informatics
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• v.18 no.1
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• pp.2.1-2.11
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• 2020

In this paper, we propose a new approach to detecting outliers in a set of segmented genomes of the flu virus, a data set with a heterogeneous set of sequences. The approach has the following computational phases: feature extraction, which is a mapping into feature space, alignment-free distance measure to measure the distance between any two segmented genomes, and a mapping into distance space to analyze a quantum of distance values. The approach is implemented using supervised and unsupervised learning modes. The experiments show robustness in detecting outliers of the segmented genome of the flu virus.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.1307-1311
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• 2004

This paper deals with an automated computer-aided process planning and die design system by which designer can determine operation sequences even if they have a little experience in process planning and die design for axisymmetric products. An attempt is made to link programs incorporating a number of expert design rules with the process variables obtained by commercial FEM softwares, DEFORM and ANSYS, to form a useful package. They can provide a flexible process based on either the reduction in the number of forming sequences by combining the possible two processes in sequence, or the reduction of deviation of the distribution on the level of the required forming loads by controlling the forming ratios. Especially in die design module an optimal design technique and horizontal split die were investigated for determining appropriate dimensions of components of multi-former die set. It is constructed that the proposed method can be beneficial for improving the tool life of die set at practice.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.3C
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• pp.226-233
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• 2007

In this paper, we construct new LCZ sequence sets with parameters $(2^{n+1}-2,M,L,2)$. In this scheme, we can relatively freely choose the LCZ length L and the resulting LCZ sequence set has the size in which is nearly optimal with respect to Tang, Fan, and Matsufuji bound.

• Proceedings of the KSRS Conference
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• v.2
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• pp.812-815
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• 2006

Proteins are essential agents for controlling, effecting and modulating cellular functions, and proteins with similar sequences have diverged from a common ancestral gene, and have similar structures and functions. Function prediction of unknown proteins remains one of the most challenging problems in bioinformatics. Recently, various computational approaches have been developed for identification of short sequences that are conserved within a family of closely related protein sequence. Protein function is often correlated with highly conserved motifs. Motif is the smallest unit of protein structure and function, and intends to make core part among protein structural and functional components. Therefore, prediction methods using data mining or machine learning have been developed. In this paper, we describe an approach for protein function prediction of motif-based models using data mining. Our work consists of three phrases. We make training and test data set and construct classifier using a training set. Also, through experiments, we evaluate our classifier with other classifiers in point of the accuracy of resulting classification.