• Journal of the Korean Society for Library and Information Science
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• v.43 no.1
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• pp.215-234
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• 2009

This study aims to perform an evaluation of directory services provided by major Korean search portals: Naver, Daum, Yahoo-Korea, and Empas. A directory service of Open Directory is also compared. These directory services are evaluated in terms of the coverage, category creation criteria, site selection criteria, breadth and depth of hierarchy, clarity and currency of category names, order of category listing, and overall classification system. The results of this study can be implemented for the development and improvement of portal's directory services. Users can refer to the results of this study in choosing directory services from search portals.

• Journal of Korean Society for Geospatial Information Science
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• v.16 no.3
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• pp.59-64
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• 2008

Soil erosion is a major problem in the case of forests in hilly terrains. Soil erosion removes the fertile topsoil, making unsuitable for growth and establishment of vegetation. In the present study, erosion prone areas in a forest region situated in the Moyar sub-watershed of Western ghats was identified using GIS with data collected from India. The thematic layers such as forest cover, slope and drainage density were used for analysis. In the erosion prone map, majority of area (48%) was under medium category, and about 35% of area was under high erosion prone category. Very high erosion prone category occupied 7% of the forest area. This erosion prone map would be an ideal spatial data to take up necessary management actions at appropriate places in this watershed to prevent erosion.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.01a
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• pp.11-14
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• 2015

많은 블로그 제공 사이트는 블로그 포스트 작성자에게 미리 정의된 범주 (category)에 따라 포스트의 주제에 대하여 범주를 선택할 수 있는 환경을 제공한다. 그러나 블로거들은 작성한 포스트의 범주를 매번 수동으로 선택해야 하는 불편함이 있다. 이러한 불편함의 해결을 위해 블로그 포스트를 자동으로 분류해주는 기능을 제공한다면 블로그의 활용성이 증가할 것이다. 기존의 블로그 문서 분류의 연구는 각 범주의 고유 정보를 반영하는 것에 한계가 있었다. 이러한 문제를 해결하기 위해, 본 논문에서는 범주별 고유 정보를 반영한 어휘 가중치를 제안한다. 어휘 가중치의 분석을 위하여 범주별로 블로그 문서를 수집하고, 수집한 문서에서 어휘의 빈도와 문서의 빈도, 범주별 어휘빈도 등을 고려하여 새로운 지표인 CTF, CDF, IECDF를 개발하였다. 이러한 지표를 기반으로 기존의 Naive Bayes 알고리즘으로 학습하여, 블로그 포스트를 자동으로 분류하였다. 실험에서는 본 논문에서 제안한 가중치 방법인 TF-CTF-CDF-IECDF를 사용한 분류가 가장 높은 성능을 보였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.4
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• pp.1790-1806
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• 2016

Digital image encryption is widely used for image data security. JPEG standard compresses image with great performance on reducing file size. Thus, to encrypt an image in JPEG format we should keep the quality of original image and reduced size. This paper proposes a JPEG image encryption scheme based on quantized DC and non-zero AC coefficients inner category scrambling. Instead of coefficient value encryption, the address of coefficient is encrypted to get the address of cipher text. Then 8*8 blocks are shuffled. Chaotic iteration is employed to generate chaotic sequences for address scrambling and block shuffling. Analysis of simulation shows the proposed scheme is resistant to common attacks. Moreover, the proposed method keeps the file size of the encrypted image in an acceptable range compared with the plain text. To enlarge the cipher text possible space and improve the resistance to sophisticated attacks, several additional procedures are further developed. Contrast experiments verify these procedures can refine the proposed scheme and achieve significant improvements.

• Journal of the Korean Society for Library and Information Science
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• v.38 no.1
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• pp.303-322
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• 2004

In this study, I worked on necessary contents for Information Literacy of Korean universities by Delphi Method. The survey resulted in 100 necessary contents in five categories and each category presents average points and ranks of importance. Contents of high rank in each category should be valued highly when educational programs are to be designed. One remarkable difference in comparison with ACRL standards is that there are a lot of contents involved with basic understanding about Scientific Information System and Information Technology and knowledge application in this study, and another is that there is a lack of contents which require analytic judgements. The significance of this study lies in presenting directions and discussion points in designing of Information Literacy of Korean universities.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.1
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• pp.447-467
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• 2018

Biographical information about people is usually collected and provided by a company or an institute which has a specific standard to select people for service. Recently, user oriented contents service like Wikipedia has started biographical information service, Wikipedia Biography Portal, in which users select people and freely describe about them. This study collected 500 biographical data from three categories of Wikipedia biography portal such as criminals, faculty, and directors. The contents of data from each category were analyzed with the word frequency and the divergence indicator to identify the characteristics of each category. As a result, divergency indicator is effective to represent the differential factors of each category. This study provides word clouds of top 100 word with divergence indicator and top 100 common words of three categories with word frequency as a guide for users to write about a person in these categories and for editors to accept and monitor the biography from users.

• Journal of Korean Library and Information Science Society
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• v.20
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• pp.31-60
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• 1993

The purpose of this study is to analyze quantitatively the use of statistics, especially inferential statistics, in library and information science. Thus this study compared the use of statistics in library and information science with it in social work and education. The results of this study are as follows: First, the result is that, when the proportions of articles in each of the three categories of use are compared, library and information science is deficient in the use of inferential statistics and unusually productive of articles in 'No Statistics' category and 'Descriptive Statistics Only' category. Second, ANOVA showed no significant difference in the means for number of articles with no statistics and for articles with descriptive statistics only, but did show a statistically significant difference for the means for number of articles with inferential statistics. That is, the use of inferential statistics in library and information science was very less than the other subject areas. Third, a comparison of the numbers of various inferential statistics for each of the three subject areas indicated that the differences were not significant. This fact means that the quality of inferential statistics used in library and information science was similar to the other subjects.

• Food Science and Industry
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• v.54 no.3
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• pp.160-170
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• 2021

A recent advance in communication technologies accelerates the spread of food safety issues once presented by the news media. To respond to those safety issues and take steps in a timely manner, automatically detecting related information from the news data matters. This work presents an AI-based system that detects risk information within a food-related news article. Experts in food safety areas participated in labeling risk information from the food-related news articles; we acquired 43,527 articles in which food names and risk information are marked as labels. Based on the news document, our system automatically detects food names and risk information by analyzing similarities between words within a text by leveraging learned word embedding vectors. Our AI-based system shows higher detection accuracy scores over a non-AI rule-based system: achieving an absolute gain of +32.94% in F1 for the food name category and +41.53% for the risk information category.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.1
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• pp.245-265
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• 2022

In response to problems such as insufficient extraction information, low detection accuracy, and frequent misdetection in the field of Thangka image defects, this paper proposes a YOLOv5 prediction algorithm fused with the attention mechanism. Firstly, the Backbone network is used for feature extraction, and the attention mechanism is fused to represent different features, so that the network can fully extract the texture and semantic features of the defect area. The extracted features are then weighted and fused, so as to reduce the loss of information. Next, the weighted fused features are transferred to the Neck network, the semantic features and texture features of different layers are fused by FPN, and the defect target is located more accurately by PAN. In the detection network, the CIOU loss function is used to replace the GIOU loss function to locate the image defect area quickly and accurately, generate the bounding box, and predict the defect category. The results show that compared with the original network, YOLOv5-SE and YOLOv5-CBAM achieve an improvement of 8.95% and 12.87% in detection accuracy respectively. The improved networks can identify the location and category of defects more accurately, and greatly improve the accuracy of defect detection of Thangka images.

• Korea Trade Review
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• v.46 no.5
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• pp.99-113
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• 2021

This study aims to analyze the effect of product information quality and source credibility on product arousal in fresh food website. Despite fresh food websites are selling products with various feature, prior studies have focused on consumer behavior for fresh food website characteristics or specific products without considering the feature of the products. Consumers' attitudes, beliefs, and behaviors vary depending on the feature of the product. In other words, depending on the category of product, the decision making process that consumers purchase products can be differ. So, we classify products considering the feature of these products to examine the effect of information quality and source credibility on product arousal into experience goods and search goods. We surveyed 288 consumers having experience of purchase in fresh food website and verified the hypothesis through One-way ANOVA by classifying the information quality and the source credibility as high level and low level. As a result, there was a difference in product arousal according to the product information quality level and the source credibility level for each product category exposed to the fresh food website. In experience goods, source credibility have a more important effect on product arousal than product information quality, and in search goods, product information quality have a more important effect on product arousal than source credibility.