• Korean Journal of Food Science and Technology
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• v.35 no.6
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• pp.1143-1149
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• 2003

To elucidate a method of preventing dental caries, strains producing lytic enzymes were isolated and their characteristics were investigated. Among 5,00 alkalophilic strains isolated from soil, 22 strains showed lytic activity against Streptococcus mutans. Strain No. 4830, with the highest lytic activity, was selected for further study. Strain 4830 showed 94% sequence homology with the 16S rDNA sequence of Bacillus alcalophilus, but it was concluded to be different from Bacillus alcalophilus because of its biochemical characteristics. The strain was named Bacillus sp. 4830. The lytic enzyme from Bacillus sp. 4830 was purified by ethanol precipitation and CM-agarose column chromatography. The molecular weight of the lytic enzyme was determined to be 28 kDa by SDS-PAGE. The lytic enzyme was stable between pH 5.0 and pH 11 and up to $40^{\circ}C$. The optimal pH and temperature for the lytic activity was 9.0 and $50^{\circ}C$, respectively.

• Microbiology and Biotechnology Letters
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• v.46 no.4
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• pp.326-333
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• 2018

In this study, we identified methods to improve heat stability and skin permeability of functional protein biopolymers, such as growth factors, enzymes, and peptides. The biopolymers participate in cellular activation and catalytic functions in vivo. Therefore, when applied to cosmetics, their efficacies are expected to be helpful for skin care. However, they have disadvantages that include instability to heat and low skin permeability due to their high molecular weight. To overcome these problems, we searched for a composition that increases heat stability. Stability was improved using a polymeric humectant having a long polyethylene glycol length, compared with a mono-molecular structure humectant. Next, to enhance skin permeation, a permeation enhancing peptide was selected from a phage library. The permeation enhancing peptide can be commonly used to promote the permeation of growth factors, enzymes, and peptides. Screening was performed on the polymeric humectant formulation. One dominant peptide from the modified-screening method was identified. Furthermore, it was confirmed that the permeability of the peptide was better than that of the peptide developed through a screening system based on phosphate-buffered saline. The data indicate that the polymeric humectant formulation will be helpful for increasing the heat stability of protein ingredients and that skin permeability could be increased by a formulation-specific, penetration-enhancing peptide.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.6
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• pp.1142-1147
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• 2015

As a method to increase the scalability and efficiency of wireless sensor networks, a scheme to construct networks hierarchically has received considerable attention among researchers. Researches on the methods to construct wireless networks hierarchically have been conducted focusing on how to select nodes such that they constitute a backbone network of wireless network. Nodes comprising the backbone network should be connected themselves and can cover other remaining nodes. A problem to find the minimum number of nodes which satisfy these conditions is known as the minimum connected dominating set (MCDS) problem. The MCDS problem is NP-hard, therefore there is no efficient algorithm which guarantee the optimal solutions for this problem at present. In this paper, we propose a novel multi-start local search algorithm to solve the MCDS problem efficiently. For the performance evaluation of the proposed method, we conduct extensive experiments and report the results.

• Journal of the Korean Society for information Management
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• v.18 no.4
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• pp.163-181
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• 2001

The Internet offers a challenging information seeking environment for users due to a great amount of information, heterogeneous objects, and diverse information quality. The purpose of this study was to identify the ways of information seeking, evaluating, and using in the Internet by looking at search behaviors of science and engineering scholars in Korean university. The research problems addressed in the study include the utility of web information, information searching strategies, the extent of search engines usage, and scholarly value of information in the Internet. The data were collected through individual interviews with 28 scholars recruited from science and engineering fields at the Myongji University. It was found that the scholars in this study less likely turn to search engines for finding research information than types of information while they use search engines primarily for searching personal information such as travel and hobbies. This is partly because the scholars believe that the information, especially research-related information, in the Internet lacks the value as scholarly information. They also tend to believe that foreign literature available in the Internet is more credible, professional, and recent than domestic literature. In conclusion, the implications for search engine developers, librarians, and researchers as users and producers in the Internet are discussed.

• Microbiology and Biotechnology Letters
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• v.31 no.2
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• pp.165-170
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• 2003

Hot water extracts of Chlorella capsulata(CCE) is a biological response modifier (BRM) which exhibits neuronal differentiation activity. The effect of CCE on the growth of nerve cells, PC12 was observed as follows: The viable cell density in adding CCE was increased up to 2.5 times, compare to that in no addition. The neurite of the cells was also lengthened up to 40 $\mu\textrm{m}$ longer than 5 $\mu\textrm{m}$ in no addition. The number of neurite-bearing cells were about four times higher than that in no addition.

• Journal of KIISE:Software and Applications
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• v.31 no.4
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• pp.525-536
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• 2004

Gene expression profile is numerical data of gene expression level from organism, measured on the microarray. Generally, each specific tissue indicates different expression levels in related genes, so that we can classify disease with gene expression profile. Because all genes are not related to disease, it is needed to select related genes that is called feature selection, and it is needed to classify selected genes properly. This paper Proposes GA based method for searching optimal ensemble of feature-classifier pairs that are composed with seven feature selection methods based on correlation, similarity, and information theory, and six representative classifiers. In experimental results with leave-one-out cross validation on two gene expression Profiles related to cancers, we can find ensembles that produce much superior to all individual feature-classifier fairs for Lymphoma dataset and Colon dataset.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.5
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• pp.730-736
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• 2009

It is more important to analysis of huge gemonics data in Bioinformatics. Here we present a novel datamining approach to predict structure and function using protein's primnary structure only. We propose not also to develope n-Block substring search algorithm in reducing enormous search space effectively in relation to feature selection, but to formulate weighted linear algorithm in a prediction of structure and function of a protein using primary structure. And we show efficient in protein domain characterization and classification by calculation weight value in determining domain association in each selected substring, and also reveal that more efficient results are acquired through claculated model score result in an inference about degree of association with each CDS(coding sequence) in domain.

• Journal of the Institute of Convergence Signal Processing
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• v.19 no.4
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• pp.199-205
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• 2018

So many fast motion estimation algorithms for prediction quality and computational reduction have been published due to tremendous computations of full search algorithm. In the paper, we suggest an algorithm that reduces computation effectively, while keeping prediction quality as almost same as that of the full search. The proposed algorithm based on multiple threshold filter calculates the sum of partial block matching error for each candidate, selects the candidates for the next step, compares the stability of optimal candidates with minimum error, removes impossible candidates, and calculates optimal motion vectors by determining the progress of the next step. By doing that, we can find the minimum error point as soon as possible and obtain the better performance of calculation speed by reducing unnecessary computations. The proposed algorithm can be combined with conventional fast motion estimation algorithms as well as by itself, further reduce computation while keeping the prediction quality as almost same as the algorithms, and prove it in the experimental results.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.189-193
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• 2021

This study purports to depict the generational topography of welfare attitudes of Korean people. Three generational groups are made for analytical purpose, 'between 20-39 age group', 'between 40-59 age group', and '60 and older'. Two major statistical techniques are used, the analysis of variance and correspondence analysis. The analysis of variance shows that the respondents' attitudes upon 'social services target(universal vs selective)', 'education', 'housing', 'child-care', 'youth support', and 'employment' varies significantly by age groups. Correspondence analysis also shows that 'between 20-39 age group' is located with proximity with 'child-care', 'employment', and 'housing', while '60 and older' is located with 'poverty' and 'old age life care'. Clearly this study shows that there is generational difference on welfare consciousness in many areas of social policy. Overall, the results show that significant generational differences with regard to welfare attitudes clearly exist in current Korean society.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.4
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• pp.44-53
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• 2011

This study designed and implemented a web-based computing environment for geovisual analytics using HTML5 canvas. The computing environment supports visualization tools and user's interaction. The visualization tools are cluster map, animated map, temporal parallel coordinate plot, and temporal heat map chart. Users can explore the temporal changes of cluster using multiple view and brushing technique. The computing environment that works well across browsers is used in the computing environment with multiple devices.