• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.05a
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• pp.638-642
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• 2002

User in video data utilization of high-capacity can grasp whole video data at a look. Offer frame list that summarize information of video data to do so that can remake video from branch that want when need. Need index process of video data for effective video retrieval. This treatise wishes to propose effective method about scene change point detection of video that is been based on contents base index. Proposed method video data so that can grasp whole structure of video detection color value of schedule pixel for diagonal line direction in image sampling do. Data that get into sampling could grasp scene change point on one eye. Color value of pixel that detection in each frame is i frame number by i$\times$j procession to procession A, j stores to reflex height of frame. Introduce MSE and calculate mean error of each frame. If exceed mean error and schedule critical value, wish to detect the frame for scene change point.

• Journal of Korean Society of Archives and Records Management
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• v.18 no.3
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• pp.165-191
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• 2018

The National Archives of Korea and other archives now provide services through social media such as Facebook or Twitter, and use such platforms to interact with users. To be specific, users communicate with and get information from these archives via the National Sinmoongo, the place for civil petition. Therefore, it is significant to understand the users' needs and the contents of the communication by analyzing the comments and petitions that have appeared in these channels. For this, this study analyzed users' perceptions and information needs shared through social media and the National Sinmoongo of the National Archives of Korea. The social media content analyzed here were posts and comments from the Facebook accounts of the National Archives of Korea, e-Record, the Busan Archives, and the Presidential Archives of Korea. Also, sentences containing the words "National Archives of Korea" and "Presidential Archives of Korea" that have appeared in texts in the National Sinmoongo were analyzed. Based on the analysis results, suggestions that could activate the user-centered archival information services in the archives and records centers were made.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.309-318
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• 2017

This study is for analyzing the tone, the frame and the characteristics of political news in social media. Social news media is not same as old media in sharing news freely by SNS like tweeter, facebook and reporting, editing by anyone using SNS with various opinions. With Content analysis, sampling 419 cases from 'Wikitree' by the keyword, 'presidential election', all the full text analysed each how is social media making public opinion differently and which frame is using in. As the result, the social media has different tone, frame, and characteristic due to the reported figure, type of report, information source, attitude to the government, specifically shows a lack of in-depth report and distinct soft-journalism just same as old media's. Because the tone of social news media is not probable, specific but improbable, vague, using the irrational, strategic and episodic frame mainly.

• Journal of KIISE:Software and Applications
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• v.31 no.5
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• pp.563-569
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• 2004

A set of Zernike moments has been successfully used for object recognition or content-based image retrieval systems. Real time applications using Zernike moments, however, have been limited due to its complicated definition. Conventional methods to compute Zernike moments fast have focused mainly on the radial components of the moments. In this paper, utilizing symmetric/anti-symmetric properties of Zernike basis functions, we propose a fast and efficient method for Zernike moments. By reducing the number of operations to one quarter of the conventional methods in the proposed method, the computation time to generate Zernike basis functions was reduced to about 20% compared with conventional methods. In addition, the amount of memory required for efficient computation of the moments is also reduced to a quarter. We also showed that the algorithm can be extended to compute the similar classes of rotational moments, such as pseudo-Zernike moments, and ART descriptors in same manner.

• Journal of KIISE:Computing Practices and Letters
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• v.10 no.6
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• pp.529-536
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• 2004

The main idea of this paper is to combine position information in sentence and query type classification to make the documents ranking to query more accessible. First, the use of conceptual graphs for the representation of document contents In information retrieval is discussed. The method is based on well-known strategies of text comparison, such as Dice Coefficient, with position-based weighted term. Second, we introduce a method for learning query type classification that improves the ability to retrieve answers to questions from Question Answering system. Proposed methods employ naive bayes classification in machine learning fields. And, we used a collection of approximately 30,000 question-answer pairs for training, obtained from Frequently Asked Question(FAQ) files on various subjects. The evaluation on a set of queries from international TREC-9 question answering track shows that the method with machine learning outperforms the underline other systems in TREC-9 (0.29 for mean reciprocal rank and 55.1% for precision).

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.74-81
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• 2019

The purpose of this study is to summarize the trends and trends of the researchin on flipped learning (FL) in Korea. To accomplish this, a total of 680 papers were selected by using the RISS academic paper search function, and the content analysis was conducted based on the basic bibliographic information provided by RISS and the coding schemes derived from the process of analysis. The data were classified according to the nature of the thesis, method of research, subject of study, academic field of study, topic of research. As a result, the first academic article related to FL appeared in 2013. After the year, FL research has been increased rapidly in various fields. In terms of purpose of study, introduction of FL, basic discussion, exploratory application, and deepening and expansion of the discussion have gradually developed. Now that the challenge of quantitative growth has been fully achieved, it is proposed to examine and consolidate the theoretical foundations of FL research.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.11-22
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• 2022

Recently, research and development using various Artificial Intelligence (AI) technologies are being conducted in the field of education. Among the AI in Education (AIEd), conversational agents are not limited by time and space, and can learn more effectively by combining them with various AI technologies such as voice recognition and translation. This paper conducted a trend analysis on platforms that have a large number of users and used conversational agents for English learning among commercialized application. Currently commercialized educational platforms using conversational agent through trend analysis has several limitations and problems. To analyze specific problems and limitations, a comparative experiment was conducted with the latest pre-trained large-capacity dialogue model. Sensibleness and Specificity Average (SSA) human evaluation was conducted to evaluate conversational human-likeness. Based on the experiment, this paper propose the need for trained with large-capacity parameters dialogue models, educational data, and information retrieval functions for effective English conversation learning.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.557-570
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• 2022

The purpose of this study was to review meditation programs for stress relief of Korean nurses. Whittmore and Knafl's integrative review methods were used. The search yielded 97 articles, 7 of which met the criteria and were included in the review. One of the selected studies was a randomized controlled quasi-experimental design and six were a non-equivalent control group pretest-posttest design. Meditation programs varied from 5 to 8 sessions. All of the meditation programs measured the effect on stress as various meditation programs. However, there was one study confirming the degree of stress management maintenance after the end of the meditation program. Although there are contents to strengthen the practice and will of nurses, it was confirmed that it was difficult to evaluate sincerity. Therefore, a highly accessible program for nurses in various clinical situations and strategies to strengthen participants' practice and will needs to be included in the meditation program content.

• Journal of Music and Human Behavior
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• v.19 no.2
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• pp.1-26
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• 2022

This review was conducted to identify the research trends in music intervention studies with elderly patients with dementia. Korean- and English-written studies on music intervention for this population were searched and analyzed. Seventeen studies were included in the final analysis. The results showed that behavioral and psychological symptoms were the main dependent variables. In terms of the type of music intervention employed, interventions requiring the patient's active participation in producing music were more common than interventions that required the patient to only listen to music. The majority of studies provided live music, selected music that was familiar to and preferred by the patient, and utilized rhythm-based performance activities. In the studies using active music production as the intervention, the participants were asked to express the emotions evoked by group instrument playing or singing along with music, which doesn't reflect the functional limitations (e.g., cognitive impairment) of elderly patients with moderate to severe dementia. The results of this review point to the need in the field to develop music intervention programs for the elderly with moderate to severe dementia that meaningfully engage these patients in music-related behaviors that target their specific symptomology.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.20 no.2
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• pp.17-30
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• 2009

This study is to improve the quality of online reference service which is serviced in the world. For this it suggests the strategic methods for collecting and connecting of internet information resources. It makes information service circumstance for professional librarians to retrieve and service. To achieve the purpose, this study have drawn implications by analysing the theoretical discussions and the cases of online reference resources system. This study suggests some strategies as follows; 1) Collaborative constructing and using of online reference resources, 2) Developing classification scheme and subdividing the subjects of it, 3) Developing the standard format of the data as like metadata, 4) Developing the guidelines to select the proper resources from many internet information resources, 5) Subdividing the 'knowledge DB' by subjects, 6) Connecting as much as possible the DBs as like the National DB and open access resources.