• Journal of Microbiology
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• v.34 no.3
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• pp.225-228
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• 1996

The cellular fatty acid methyl esters (FAMEs) analysis data obtained for clusters defined at a Euclidian distance of 17.5, in the classification of lactic acid bacteria isolated from kimchi, described by Lee et al. (4), was used for the identification of 79 Leuconostoc isolates. The test strains were isolated using a selective isolation medium specific for the genus Leuconostoc. These strains were then characterized according to their fatty acid profiles. The results show that all seventy nine test strains were identified to the known Leuconostoc clusters B, C, and D. Cluster B had the highest relative amount of the saturated fatty acid 16 : 0. The saturated fatty acid 16 : 0 and summed feature 9 were found as a major components in cluster C, which had a higher level of summed feature 9 than cluster B. Cluster D is characterized by the highest relative amount of the unsaturated fatty acid 18 : 1 w9c. It is suggested that FAMEs analysis can be successfully applied in the identification of lactic acid bacteria isolated from kimchi.

• Journal of the Korean Society for information Management
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• v.25 no.3
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• pp.209-230
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• 2008

This study is based on the practical use for distributed resources considering growing network rapidly. The focal point of this study will be argued on semantic interoperability for sharing of resources, not be emphasized the technical issues of network. The aim of this article is developing the model of Collection-Level Description(CLD) for sharing of resources. The present article consists of a definition of collection in relation to the scope, objectives, and agents of the collection and an analysis of researches about CLD strengths and standards. Lastly, it was intended to construct the model focused on relation which was needed to be strengthened the existing CLD's function, thus, this study attempted to use the concept of ontology. The model of CLD based on ontology suggested the description could represent new relations inferred between classes and properties. Distinguishing class and property, furthermore, this study suggested properties were separated the characteristic of class and the relation with classes.

• Education of Primary School Mathematics
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• v.25 no.4
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• pp.329-341
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• 2022

Data collection is crucial to the process of statistical problem solving since it influences the quality of statistical data. However, there is little instruction on data collection in the Korean mathematics curriculum. In this study, we examined how the data were collected and how the data collection method was taught in the Korean mathematics textbooks for 3rd and 4th grades. As a result, the data appeared in these textbooks were collected by using a variety of methods, including surveys, experiments, observations, and secondary data collections. There were not enough instructions on experiments and observations, compared to surveys and secondary data collection. Additionally, as each textbook works with a distinct contents while teaching data collection, it is expected that there would be variations in the levels that students learn in relation to data collection. Based on these findings, we draw some discussion points to determine how to improve the mathematics curriculum in order to effectively teach data collection in the elementary school.

• Korean Journal of Microbiology
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• v.55 no.2
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• pp.160-163
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• 2019

Senegalimassilia sp. KGMB 04484 was isolated from fecal samples obtained from a healthy Korean. The whole-genome sequence of Senegalimassilia sp. KGMB 04484 was analyzed using the PacBio Sequel platform. The genome comprises a 2,748,041 bp chromosome with a G+C content of 61.18%, 2,300 total genes, 2,139 protein-coding gene, 21 rRNA genes, and 51 tRNA genes. Also, we found that strain KGMB 04484 had some genes for hydrolysis enzyme, fatty acid biosynthesis and metabolism in its genome based on the result of genome analysis. Those genes of KGMB 04484 may be related to regulation of human health and digest.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.9 no.3
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• pp.13-26
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• 1999

Widespread use of Internet despite numerous positive aspects resulted in increased number of system intrusions and the need for enhanced security mechanisms is urgent. Systematic collection and analysis of log data are essential in intrusion investigation. Unfortunately existing logs are stored in diverse and incompatible format thus making an automated intrusion investigation practically impossible. We examined the types of log data essential in intrusion investigation and implemented a tool to enable systematic collection and efficient analysis of voluminous log data. Our tool based on RBDMS and SQL provides graphical and user-friendly interface. We describe our experience of using the tool in actual intrusion investigation and explain how our tool can be further enhanced.

• Korean Journal of Human Ecology
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• v.15 no.6
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• pp.1049-1062
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• 2006

The purpose of this study is to find out the image according to formative properties of hat and garment in the fashion collection. For the study, the 96 stimuli found frequently in fashion collection from the S/S season of 1998 to the F/W season of 2004 were selected. Sets of stimulus and response scales (7 point semantic) were used as experimental materials. The stimuli were 96 pictures with the types of hat(4), the lengths of hair(3), the types of garment(3), the relations between the color of garment and hat(4), and the materials(4) and patterns of garment(2). The subjects were 415 women college students majoring fashion design related fields and living in Seoul and Gyeongsangnam-do. As statistical methods for data analysis, Factor Analysis, ANOVA test, and LSD test were used. The items of the adjectives were classified into 5 image dimensions; attractiveness, gracefulness, concentration, cuteness, and hardness and softness. Among these factors, each dimensional image was affected by formative properties of hat and garment. The image of a hat-wearer was perceived differently according to the hair style and the formative properties of hat and garment even if the type of hat was same.

• The Research Journal of the Costume Culture
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• v.23 no.6
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• pp.987-1003
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• 2015

The purpose of this study is to supply available data for men's fashion design planning by analyzing the trend and design tendency of the preppy look in the domestic men's collection. In the men's collection of Seoul fashion week from 2011 S/S to 2015 S/S, 494 photos judged to be the preppy look by three design specialists were chosen in Seoul fashion week and style.com's web-site. Design analyses were compiled based on year, season, brands, item, color, material, and silhouette. The preppy look was found often in S/S season, three piece combinations were the most common, and "H", "I" silhouettes were also popular. Refined black and refreshing orange were used with traditional preppy colors like navy, beige, gray, and white. Contrast color arrangement and neutral, moderate tones were seen repeatedly. Two-thirds of fabrics were pattern-less with clean, bulky, and soft textures. Coordinating accessories like hats, backpacks, books, headsets were used frequently. Among the various preppy fashion types, there were 'traditional preppy' faithful to tradition, 'sophisticated preppy' with refined semi-formal look, 'sportive preppy' with active sports sense, and 'natural preppy' with natural and comfortable senses. In a contemporary preppy look, traditional and practical senses are combined with casual and sportive pieces. This study can provide the data for design planning, interpreting, and applying the fashion themes along with contemporary sensibilities since the preppy look is based on cultural history.

• Journal of the Korean Society for information Management
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• v.15 no.2
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• pp.163-191
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• 1998

The im of the present study is to introduce and develop the concept and theory of conspectus for the first time in Korea, and to propose a new evaluation model for book collection by actually applying the developed methodology to the collection of a special library dedicated to Biblical Studies. Conspectus is a standardized and objective evaluation method that classifies the main collection according to the division, category, subject, and then gives each collection ots appropriate collection level code by analyzing the classified collection in terms of three different dimensions, which are Current Collection Level(CL), Acquisition Commitment Level(AC), and Collection Goal Level(GL). To evaluate the collection of the sample library, shelflist analysis, list checking, acquisition data in ordering process by their main subject, and survey of its users have been carried out, and all of their results ahve been indicated in terms of eleven collection level codes developed by WLN Conspectus. T e collection of sample library was evaluated as '3cW' for CL, '4W' for AC, and '4W' for GL when the Conspectus methodology was applied for evaluation. This study could be utilized as an collection evaluation model for theological libraries, and become a basis to bring about more active cooperative collection development among related libraries.

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.163-170
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• 2021

As a big data is being used in various industries, big data market is expanding from hardware to infrastructure software to service software. Especially it is expanding into a huge platform market that provides applications for holistic and intuitive visualizations such as big data meaning interpretation understandability, and analysis results. Demand for big data extraction and analysis using social media such as SNS is very active not only for companies but also for individuals. However despite such high demand for the collection and analysis of social media data for user trend analysis and marketing, there is a lack of research to address the difficulty of dynamic interlocking and the complexity of building and operating software platforms due to the heterogeneity of various social media service interfaces. In this paper, we propose a method for developing a framework to operate the process from collection to extraction and classification of social media data. The proposed framework solves the problem of heterogeneous social media data collection channels through adapter patterns, and improves the accuracy of social topic extraction and classification through semantic association-based extraction techniques and topic association-based classification techniques.

• Journal of the Korea Society of Computer and Information
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• v.29 no.5
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• pp.93-100
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• 2024

With the advent of the Fourth Industrial Revolution, cutting-edge technologies such as artificial intelligence, big data, the Internet of Things, and cloud computing are driving innovation across industries. These technologies are generating massive amounts of data that many companies are leveraging. However, there is a notable reluctance among users to share sensitive information due to the privacy risks associated with collecting personal data. This is particularly evident in the healthcare sector, where the collection of sensitive information such as patients' medical conditions poses significant challenges, with privacy concerns hindering data collection and analysis. This research presents a novel technique for collecting and analyzing medical data that not only preserves privacy, but also effectively extracts statistical information. This method goes beyond basic data collection by incorporating a strategy to efficiently mine statistical data while maintaining privacy. Performance evaluations using real-world data have shown that the propose technique outperforms existing methods in extracting meaningful statistical insights.