• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.3
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• pp.651-656
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• 2017

Virtual Training generates virtual situation or environment with specific goals in order to instruct trainees as if they are in the real-world. Recently, the demand of experiencing certain incident, which we are not able to experience in real life, has been increased along with the fast developing Virtual Reality (VR) technology. Particularly, Virtual Training(VT) enables us to learn various fields those require high risk and high cost. The system of VT provides interaction and allows us absorb these learning materials better which augments learning effect. Based on the demand of Virtual Training system, this research analyzes current education paradigm National Competency Standards (NCS) in Korea and suggests possible education that utilizes Virtual Training system. At the end of the day, our future goal is to apply suggested Virtual Training contents to universities that reflect NCS curriculum like polytechnic university.

• Journal of Korean Library and Information Science Society
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• v.48 no.2
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• pp.187-213
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• 2017

In order for preemptive response and prevention against disasters, it is necessary to systematically collect, preserve, manage, and utilize the information resources of records related with disaster safety. Therefore, this study analyzed the types and status of text-based document archives among the records information resources which were published and produced by the disaster safety-related institutions via online. Detail types analysis of disasters in document archives also was conducted. Based on filed interviews, the actual users' requirements for the disaster safety information archives are converged. The ultimate goal of this study is to establish a basis for building of disaster safety information archives by deriving improved management strategies of disaster safety records resources.

• The Research Journal of the Costume Culture
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• v.28 no.1
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• pp.15-29
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• 2020

Purpose of the study is to explore the effect of the types of mobile coupons(text- vs. image-focused coupons; free-gift vs. discount coupons) on characteristic perception of mobile coupons, and the causal relationships among characteristic perception, attitude, and use intention of mobile coupons. A total of 140 university students participated in experiments with questionnaires including one of the four stimuli. Important findings are as follows. First, image-focused mobile coupons generated more enjoyment than did text-focused coupons. However, the text/image-focused coupons were not different in perception of informativeness and credibility of mobile coupons. Second, enjoyment perception was significantly increased when image-focused contents were combined with discount coupons whereas enjoyment perception was decreased when text-focused contents were combined with free-gift coupons. This interaction effect reflects that the level of enjoyment of consumers can be changed in terms of the combination of the value-provision types of coupons and the text-image focused contents. Third, it was found that consumer perception of coupon characteristics formed attitudes toward mobile coupons, and use intention of mobile coupons was determined by attitudes toward mobile coupons. Study findings may fill the void of research investigating the effect of text-image contents and the types of coupons on consumer reponses toward mobile coupons. Mobile coupons have limited quantity of information within a small size of mobile phone screen, therefore, the results were not consistent with prior research tested with mobile advertisements indicating the effect of text-image contents on perception of informativeness and credibility.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.16 no.1
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• pp.45-74
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• 2005

The study has developed the scope and sequence of information literacy instruction's curriculum for integration strategies of traditional reading education, library use education and information literacy. For this purpose, this study compares and analyze the scope and sequence of reading education, library use education and information literacy instruction's curriculum in Korea, American and Japan. Basing on the comparative result, it proposed the scope and sequence of information literacy instruction's curriculum in Korea. The scope and sequence which it proposes based on the skill and process of information literacy model, it includes contents of traditional reading education, library use education. Also, supposed scope take in all format of information media, the process and strategies of information use, library and information system. the supposed sequence divided into elementary school(1-3), elementary school(1-4), middle school(1-3), high school(1-3)

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.26 no.1
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• pp.171-198
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• 2015

This study used social discourse analysis and analyzed social discourse on library reflected in media, social media, interview and diary of persons concerned, particularly focusing on controversy over whether 'The Forest of Wisdom' should be called a 'library'. The study analyzed a three-dimensional framework, including media report that eventually developed a social 'discourse event', social media surrounding this issue, and interview with persons in the library community and publishing industry regarding discourse. This study draws a conclusion that 'The Forest of Wisdom' rather led social discourse over the role of library especially when traditional library is faced with new demands for discourse and changes. It is meaningful in that this issue provided an opportunity for library and the publishing industry to think over and develop ways for autonomous discourse that seeks their true value.

• Journal of the Korean Data and Information Science Society
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• v.21 no.4
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• pp.689-697
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• 2010

In this study, we propose a new procedure for improving the character recognition of text area extracted from video images. The recognition of strings extracted from video, which are mixed with Hangul, English, numbers and special characters, etc., is more difficult than general character recognition because of various fonts and size, graphic forms of letters tilted image, disconnection, miscellaneous videos, tangency, characters of low definition, etc. We improved the recognition rate by taking commonly used letters and leaving out the barely used ones instead of recognizing all of the letters, and then using SVM and RDA character recognition methods. Our numerical results indicate that combining SVM and RDA performs better than other methods.

• The KIPS Transactions:PartB
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• v.13B no.5 s.108
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• pp.541-546
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• 2006

Data Mining is the process of finding hidden patterns inside a large data set. Cluster analysis has been used as a popular technique for data mining. It is a fundamental process of data analysis and it has been Playing an important role in solving many problems in pattern recognition and image processing. If fuzzy cluster analysis is to make a significant contribution to engineering applications, much more attention must be paid to fundamental decision on the number of clusters in data. It is related to cluster validity problem which is how well it has identified the structure that Is present in the data. In this paper, we design an adaptive data mining model using fuzzy performance measures. It discovers clusters through an unsupervised neural network model based on a fuzzy objective function and evaluates clustering results by a fuzzy performance measure. We also present the experimental results on newsgroup data. They show that the proposed model can be used as a document classifier.

• The KIPS Transactions:PartB
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• v.8B no.5
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• pp.579-586
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• 2001

Digital watermarking is to embed imperceptible mark into image, video, audio, and text data to prevent the illegal copy of multimedia data. arbitrary modification, and also illegal sales of the copies without agreement of copyright ownership. In this paper, we study for the embedding and extraction of watermark key using wavelet in the luminance signal in order to implement the system to protect the copyright for image MPEG. First, the original image is analyzed into frequency domain by discrete wavelet transform. The RSA(Rivest, Shamir, Aldeman) public key of the coded target is RUN parameter of VLD(variable length coding). Because the high relationship among the adjacent RUN parameters effect the whole image, it prevents non-authorizer not to possess private key from behaving illegally. The Results show that the proposed method provides better moving picture and the distortion more key of insert than direct coded method on low-frequency domain based DCT.

• Convergence Security Journal
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• v.19 no.5
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• pp.75-84
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• 2019

Recently, the value of video as an important data of medical information technology is increasing due to the feature of rich clinical information. On the other hand, video is also required to be de-identified as a medical image, but the existing methods are mainly specialized in the stereotyped data and still images, which makes it difficult to apply the existing methods to the video data. In this paper, we propose an automated system to index candidate elements of personal identification information on a frame basis to solve this problem. The proposed system performs indexing process using text and person detection after preprocessing by scene segmentation and color knowledge based method. The generated index information is provided as metadata according to the purpose of use. In order to verify the effectiveness of the proposed system, the indexing speed was measured using prototype implementation and real surgical video. As a result, the work speed was more than twice as fast as the playing time of the input video, and it was confirmed that the decision making was possible through the case of the production of surgical education contents.

• Journal of the Korea Convergence Society
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• v.9 no.7
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• pp.1-7
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• 2018

Feature selection, one of data preprocessing techniques, is one of major research areas in many applications dealing with large dataset. It has been used in pattern recognition, machine learning and data mining, and is now widely applied in a variety of fields such as text classification, image retrieval, intrusion detection and genome analysis. The proposed method is based on a genetic algorithm which is one of meta-heuristic algorithms. There are two methods of finding feature subsets: a filter method and a wrapper method. In this study, we use a wrapper method, which evaluates feature subsets using a real classifier, to find an optimal feature subset. The training dataset used in the experiment has a severe class imbalance and it is difficult to improve classification performance for rare classes. After preprocessing the training dataset with SMOTE, we select features and evaluate them with various machine learning algorithms.