• Journal of the Korean earth science society
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• v.25 no.8
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• pp.647-655
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• 2004

PISA (Program for International Student Assessment) 2003, the second cycle of PISA, collected data with respect to students' cross-disciplinary problem solving capabilities. Problem solving is defined as the ability to use cognitive processes to solve real cross-disciplinary problems. For the purpose of PISA 2003 assessment, three problem types were chosen: Decision Making, System Analysis and Design, and Trouble Shooting. For this paper a preliminary analysis on Korean students' responses to the PISA 2003 problem-solving items was conducted. The quantitative analysis mainly focused on the difficulties of the PISA 2003 items, while the quantitative analysis dealt with students' responses to open-ended items, which helped understand Korean students' cognitive style and reasoning processes. According to the item analysis result, Korean students had difficulty in representing their answers with pictures or graphs, and interpreting long and complex text. They also showed low achievement with relatively unfamiliar topics or tasks. The paper concluded with several suggestions on improve the quality of science education.

• Journal of the Korean earth science society
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• v.34 no.2
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• pp.173-186
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• 2013

The purpose of the study was to investigate the change of students' conceptual structures about sedimentary rocks through the field trip. A semantic network analysis method was utilized to assess the change. An open-ended questionnaire was developed to assess high school students' knowledge of sedimentary rock including its definition, classification, formation process, and characteristics. Fifteen high school students participated in the field trip of this study. The text data were analyzed using the semantic network analysis method. Results are as follows. First, high school students' conceptual structures about sedimentary rocks were more expanded after the field trip. Second, students' conceptual structures formed a 'small world network' by combining the sub-clusters. Third, the size of students' conceptual structures was decreased after a few month of field trip. Nonetheless, the connection among the clusters remained the same.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.38 no.4
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• pp.50-58
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• 2001

The image information, used most frequently in multimedia, is visual and spatial information. It has several characters including the diversity of storage and output methods, large capacity, spatial relationship expression, and irregularity. Therefore, the various researches for methods of storing efficiently, managing, searching such image data are going on. And recently, it has arisen the movement of international standardization, MPEG-7 for searching contents base in multimedia environment. Especially, the research for implementation of more effective image database searching system important subject, because the practical image search system which can storage a lot of image information as database and query, search them has not generalized. Now the image search system based on text has researched to high degree, but it has many shortages so that nowadays the researches for searching system based on contents are going on. This research has used the wavelet conversion largely using in image processing instead of DCT method largely using in existent system, and so it had met similar and precise results than prior methods by image compression and extraction of specific vector.

• Journal of the Ergonomics Society of Korea
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• v.34 no.5
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• pp.377-399
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• 2015

Objective: The aim of this study is to understand and identify the critical issues in vision research area using content analysis and network analysis. Background: Vision, the most influential factor in information processing, has been studied in a wide range of area. As studies on vision are dispersed across a broad area of research and the number of published researches is ever increasing, a bibliometric analysis towards literature would assist researchers in understanding and identifying critical issues in their research. Method: In this study, content and network analysis were applied on the meta-data of literatures collected using three search keywords: 'visual search', 'eye movement', and 'eye tracking'. Results: Content analysis focuses on extracting meaningful information from the text, deducting seven categories of research area; 'stimuli and task', 'condition', 'measures', 'participants', 'eye movement behavior', 'biological system', and 'cognitive process'. Network analysis extracts relational aspect of research areas, presenting characteristics of sub-groups identified by community detection algorithm. Conclusion: Using these methods, studies on vision were quantitatively analyzed and the results helped understand the overall relation between concepts and keywords. Application: The results of this study suggests that the use of content and network analysis helps identifying not only trends of specific research areas but also the relational aspects of each research issue while minimizing researchers' bias. Moreover, the investigated structural relationship would help identify the interrelated subjects from a macroscopic view.

• Journal of Korean Critical Care Nursing
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• v.11 no.2
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• pp.75-85
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• 2018

Purpose : The purpose of this study was to examine the possible direction of critical care nursing research in the future by analyzing the trends of recent Korean studies. Method : Using a database search, we selected 263 articles on critical care nursing that were published in Korean journals between 2008 and 2017. Then, we conducted an integrative review of the contents of the selected articles and analyzed the English abstracts using the relevant packages and functions of the R program. Results : The number of studies concerning critical care nursing has increased over the 10-year period, and the specific topic of each study has diversified according to the time at which it was conducted. In terms of quality, the majority of the research was published in high-level academic journals. The key words regularly studied over the past decade were: knowledge, delirium, education, restraint, stress, and infection. Studies related to vancomycin-resistant enterococci infection, compliance, and standards have decreased, while studies related to death, communication, and safety have increased. Conclusion : Randomized controlled trials and protocol research for evidence-based critical care need to be conducted, as does research on family involvement. The key word analysis of unstructured text used in this study is a relatively new method; it is suggested that this method be applied to various critical care nursing research and develop it methodologically.

• The Journal of the Korea Contents Association
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• v.10 no.2
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• pp.54-62
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• 2010

Inverted index structures have become the most efficient data structure for high performance indexing of large text collections, especially online index maintenance, In-Place and merge-based index structures are the two main competing strategies for index construction in dynamic search environments. In the above-mentioned two strategies, a contiguity of posting information is the mainstay of design for online index maintenance and query time. Whereas with the emergence of new storage device(SSD, SCRAM), those do not consider a contiguity of posting information in the design of index structures because of its superiority such as low access latency and I/O throughput speeds. However, SSD(Solid State Drive) is not well suited for traditional inverted structures due to the poor random write throughput in practical systems. In this paper, we propose the new efficient online index structure(SPM) for SSD that significantly reduces the query time and improves the index maintenance performance.

• Journal of Preventive Medicine and Public Health
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• v.50 no.2
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• pp.68-82
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• 2017

Objectives: We performed a systematic review to assess and aggregate the available evidence on the frequency, expected effects, obstacles, and facilitators of disclosure of patient safety incidents (DPSI). Methods: We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for this systematic review and searched PubMed, Scopus, and the Cochrane Library for English articles published between 1990 and 2014. Two authors independently conducted the title screening and abstract review. Ninety-nine articles were selected for full-text reviews. One author extracted the data and another verified them. Results: There was considerable variation in the reported frequency of DPSI among medical professionals. The main expected effects of DPSI were decreased intention of the general public to file medical lawsuits and punish medical professionals, increased credibility of medical professionals, increased intention of patients to revisit and recommend physicians or hospitals, higher ratings of quality of care, and alleviation of feelings of guilt among medical professionals. The obstacles to DPSI were fear of medical lawsuits and punishment, fear of a damaged professional reputation among colleagues and patients, diminished patient trust, the complexity of the situation, and the absence of a patient safety culture. However, the factors facilitating DPSI included the creation of a safe environment for reporting patient safety incidents, as well as guidelines and education for DPSI. Conclusions: The reported frequency of the experience of the general public with DPSI was somewhat lower than the reported frequency of DPSI among medical professionals. Although we identified various expected effects of DPSI, more empirical evidence from real cases is required.

• The Journal of Society for e-Business Studies
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• v.25 no.1
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• pp.123-134
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• 2020

Although the rights of data subjects are defined through laws such as the Personal Information Protection Act, the consent process for collecting personal information by financial institutions is only formal and does not guarantee the right of self-determination of personal information. Therefore, it is necessary to analyze the problem by information provision items of the current model, and to improve by changing the structure such as replacing the current method provided with the text with pictures and videos, and mandatory to provide the information subjects with personal information flow related images from the signing up stage. The improvement model is presented as a way to add a procedure to the current model. The effect was verified through a survey. It is hoped that the proposed model is actually reflected through the review to create an environment that can be a true meaning agreement that reflects the information subject's right to self-determination.

• Journal of the Korea Society of Computer and Information
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• v.20 no.4
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• pp.17-23
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• 2015

In this paper, we propose a mobile app clustering method using word clusters. Considering the quick change of mobile app trends, the proposed method divides the mobile apps into some semantically similar mobile apps by applying a clustering algorithm to the mobile app set, rather than the predefined category system. In order to alleviate the data sparseness problem in the short mobile app description texts, the proposed method additionally utilizes the unigram, the bigram, the trigram, the cluster of each word. For the purpose of accurately clustering mobile apps, the proposed method manages to avoid exceedingly small or large mobile app clusters by using the word clusters. Experimental results show that the proposed method improves 22.18% from 57.48% to 79.66% on overall accuracy by using the word clusters.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.495-501
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• 2014

This research paper is applying Family Tree with Story Authoring System on the previous research study about writing tool data model on interactive storytelling about family history. In this study, primary personal information holding identity of the person such as name, birthday and family tree, given at birth, was categorized into secondary function defined as "family contents" consisting of family achievements, episodes and experiences. Family contents was restructured to be used as creative ingredients to increase the value and usage of family contents...Family Tree with Story writing system enables users to create text, images, videos and digital contents based on experimental knowledge collected from the first and second generations.