• Journal of Korean Home Economics Education Association
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• v.32 no.2
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• pp.99-115
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• 2020

The purpose of this study is to analyze the relationship between home economics curriculum and media literacy education. For this purpose, 12 kinds = types of learning materials for middle school 'Technology·Home Economics 2' textbooks were analyzed. After selecting 'Media Literacy Performance Goals(MLPG)' as the basis for analysis, the distribution of media data and reflection of MLPG were analyzed by frequency and content analysis. The results of this study are as follows. First, 39.6% of the learning materials using media materials out of the total learning materials of 12 textbooks, and there were differences in the frequency and weight of learning materials using media materials by publishers. Depending on the type of media, 68.3% of 'printing', 16.7% of 'images, video', 13.5% of 'digital', and 86.5% of the use of unidirectional media. Second, there was a difference in frequency and weight of learning materials reflecting the MLPG by publishers, and it was necessary to supplement the learning content to improve overall media literacy. Among the MLPG reflected in the learning materials, 'meaning and communication' was the most reflected performance goal, with 58.8%, but there was no two-way communication through the media. Based on the results of these textbook analysis, MLPG in Home Economics are revised as follows. 'Understanding the meaning and self-expression', 'Communication and social participation', 'Use of responsible media', 'Appreciation and enjoyment', 'Use of media technology', 'Information search and selection', 'Creation and production', 'Critical understanding and evaluation'.

• Journal of Broadcast Engineering
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• v.19 no.5
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• pp.578-589
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• 2014

Window image is displayed through a monitor screen when we execute the application programs on the computer. This includes webpage, video player and a number of applications. The webpage delivers a variety of information by various types in comparison with other application. Unlike a natural image captured from a camera, the window image like a webpage includes diverse components such as text, logo, icon, subimage and so on. Each component delivers various types of information to users. However, the components with different characteristic need to be divided locally, because text and image are served by various type. In this paper, we divide window images into many sub blocks, and classify each divided region into background, text and subimage. The detected subimages can be applied into 2D-to-3D conversion, image retrieval, image browsing and so forth. There are many subimage classification methods. In this paper, we utilize AdaBoost for verifying that the machine learning-based algorithm can be efficient for subimage detection. In the experiment, we showed that the subimage detection ratio is 93.4 % and false alarm is 13 %.

• International Commerce and Information Review
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• v.19 no.3
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• pp.197-214
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• 2017

It requires professional knowledge and much time to judge intellectual property rights infringement. The duties of customs administration are the balance between the propositon of trade facilitation through rapid clearance and the thesis of social security through exact examination. There is a view that the criminal procedure law control is necessary to the goods inspection of clearnce procedure if it is related to crimianl investigation. However, it seems that the customs law does not consider the goods inspection investigation as the investigation under judicial control, but only the mere administrative investigation. It can be said that the inspection of goods by customs law functioning as a clue of investigation is confined to the ordinary goods inspection, including the screening test. Searching for specific articles by specific informaition should be under the control of criminal procedure law because it constitutes the commencement of criminal investigation in criminal cases. This interpretation could be an opportunity as a harmonious operation between the goods inspection of customs clearance and the search and seizure of criminal procedure.

• Journal of The Korean Association of Information Education
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• v.1 no.1
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• pp.82-91
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• 1997

The purpose of thesis is to design and implement an efficient Internet-Based courseware which facilitates the problem solving learning. This courseware was developed in order to provide important foundations of learning in open-education environment using WWW. The targeted level is elementary students, To do this, the definition of problem solving, its processes, and advantages or pitfalls of computer-based problem solving learning were examined, with the advantage of using WWW as an educational tool. The theme of implemented courseware was selected from SATIS which is relevant for the problem solving learning. The courseware has three main parts; learning activity module, teaching activity module, and learning tool module. The learning activity module controls courseware flows and was implemented in accordance with the problem-based teaming processes. It: can be proceeded either sequential way or random access by setting linker. The advantage of random accessing method is that it may facilitate student learning because each student can regulate their learning processes which correspond to their own experiences. The teaching activity module provides for teachers useful informations for helping student's learning and it also can be used as an assessment tool for student's achievements, The learning: tool module consists of conversational note, e-mail address, help, and search tool. It is linked with learning activity module and teaching activity module so that teachers and students can actively participate in teaching-learning processes.

• Journal of Intelligence and Information Systems
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• v.17 no.1
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• pp.17-35
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• 2011

The collective intelligence is a common-based production by the collaboration and competition of many peer individuals. In other words, it is the aggregation of individual intelligence to lead the wisdom of crowd. Recently, the utilization of the collective intelligence has become one of the emerging research areas, since it has been adopted as an important principle of web 2.0 to aim openness, sharing and participation. This paper introduces an approach to seek the collective intelligence by cognition of the relation and interaction among individual participants. It describes a methodology well-suited to evaluate individual intelligence in information retrieval and classification as an application field. The research investigates how to derive and represent such cognitive intelligence from individuals through the application of fuzzy relational theory to personal construct theory and knowledge grid technique. Crucial to this research is to implement formally and process interpretatively the cognitive knowledge of participants who makes the mutual relation and social interaction. What is needed is a technique to analyze cognitive intelligence structure in the form of Hasse diagram, which is an instantiation of this perceptive intelligence of human beings. The search for the collective intelligence requires a theory of similarity to deal with underlying problems; clustering of social subgroups of individuals through identification of individual intelligence and commonality among intelligence and then elicitation of collective intelligence to aggregate the congruence or sharing of all the participants of the entire group. Unlike standard approaches to similarity based on statistical techniques, the method presented employs a theory of fuzzy relational products with the related computational procedures to cover issues of similarity and dissimilarity.

• Journal of Technology Innovation
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• v.21 no.1
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• pp.279-301
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• 2013

This study demonstrates how social network analysis can be used for identifying potential buyers in technology marketing; in such, the methodology and empirical results are proposed. First of all, we derived the three most important 'seed' keywords from 'technology description' sections. The technologies are generated by various types of R&D activities organized by South Korea's public research institutes in the fundamental science fields. Second, some 3, 000 words were collected from websites related to the three 'seed' keywords. Next, three network matrices (i.e., one matrix per seed keyword) were constructed. To explore the technology network structure, each network is analyzed by degree centrality and Euclidean distance. The network analysis suggests 100 potentially demanding companies and identifies seven common companies after comparing results derived from each network. The usefulness of the result is verified by investigating the business area of the firm's homepages. Finally, five out of seven firms were proven to have strong relevance to the target technology. In terms of social network analysis, this study expands its application scope of methodology by combining semantic network analysis and the technology marketing method. From a practical perspective, the empirical study suggests the illustrative framework for exploiting prospective demanding companies on the web, raising possibilities of technology commercialization in the basic research fields. Future research is planned to examine how the efficiency of process and accuracy of result is increased.

• Journal of KIISE:Databases
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• v.27 no.1
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• pp.64-78
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• 2000

In this paper, we design and implement a system for managing domain specific thesauri, where object-oriented paradigm is applied to thesaurus construction, concept browsing and query-based reference. This system provides an objected-oriented mechanism to assist domain experts in constructing thesauri; it determines a considerable part of relationship degrees between terms by inheritance and supplies domain experts with information available from a thesaurus being constructed This information is especially useful to enforce consistency between the hierarchies of a thesaurus, each constructed by different experts in different sites through cooperation. It may minimize the burden of domain eIn this paper, we design and implement a system for managing domain specific thesauri, where object oriented paradigm is applied to thesaurus construction, concept browsing and query based reference. This system provides an objected mechanism to assist domain experts in constructing thesauri: it determines a considerable part of relationship degrees between terms by inheritance and supplies domain experts with information available from a thesaurus being constructed. This information is especially useful to enforce consistency between the hierarchies of a thesaurus, each constructed by different experts in different sites through cooperation. It may minimize the burden of domain experts caused from the exhaustive specification of individual relationship. This system also provides an abstracted browsing and a query based reference, which allow users to easily verify thesaurus terms before they are used in usual boolean queries. The verification is made by actively searching for them in the thesaurus. Reference queries and abstracted browsing views facilitate this searching. The facility is indispensable especially when precision counts for much.

• Economic and Environmental Geology
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• v.42 no.3
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• pp.273-282
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• 2009

To render more valuable information, a spatial database is being constructed from digitalized maps in the geographic areas. Transferring file-based maps into a spatial database, facilitates the integration of larger databases and information retrieval using database functions. Geological mapping is the graphical interpretation results of the geological phenomenon by geological surveyors, which is different from other thematic maps produced quantitatively. These features make it difficult to construct geologic databases needing geologic interpretation about various meanings. For those reasons, several organizations in the USA and Australia are suggesting the data model for the database construction. But, it is hard to adapt to a domestic environment because of the representation differences of geological phenomenon. This paper suggests the data model adaptive in domestic environment analyzing 1:50,000 scales of geologic maps and more detailed mine geologic maps. The suggested model is a logical data model for the ArcGIS GeoDatabase. Using the model it can be efficiently applicable in the 1:50,000 scales of geological maps. It is expected that the geologic data model suggested in this paper can be used for integrated use and efficient management of geologic maps.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.35-45
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• 2018

Research on the establishment of new governance aimed at efficient policy planning and the implementation thereof by the government has been conducted in response to social changes. Nonetheless, governance is comprehensive and encompasses different meanings; it takes various forms in the process of its actual application. Therefore, systematic classification of research on governance and analysis on its research trend are required. Accordingly, three researchers who majored in policy sciences, business informatics, and library and information science, respectively, searched for theses related to governance published since 2016 from Research Information Sharing Service and conducted a social network analysis (SNA) on them. According to their research results, the main research topics were largely classified into collaborative governance and local governance. Keywords throughout the topics included network, participation, conflict, and trust in line with the characteristics of governance. Representative subjects of governance included education, urban regeneration, and the environment. Further, measurement of betweenness centrality showed local governance was a main topic for convergent research. This study will lead to a greater understanding of research on governance and help activate such research. One limitation of this study is that it analyzed only theses with the keywords but not all theses on governance. Follow-up research should analyze all theses on governance and statistically verify them with SNA indexes.

• Journal of the HCI Society of Korea
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• v.14 no.2
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• pp.31-39
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• 2019

This research examined the changes that fast-growing voice-based devices would bring in the media multitasking environment. Based on the theoretical background that information processing efficiency improves when performing multiple tasks requiring different resource structures at the same time, we conducted an experiment where participants searched for information with voice-based or screen-based devices while performing an additional visual task. Results showed that both task performance environment and interface modality had significant main effects on cognitive load. The overall cognitive load level was higher in the voice interface group, but the difference in cognitive load between the two groups decreased in a multitasking environment where the additional visual resources was required. The visual task performance was significantly higher when using the voice interface than the screen interface. Our findings suggest that voice interfaces offered advantages in the cognitive load and task performance by distributing two tasks to the auditory and visual channels. The results of this study imply that voice-based devices have the potential to facilitate efficient information processing in the screen-centric environment where visual resources collide. We provided theoretical evidence of resource distribution using multiple resource theory and tried to identify the advantages of the voice interface more specifically based on the threaded cognition model.