• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.15-28
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• 2015

As personal devices and pervasive technologies for interacting with networked objects continue to proliferate, there is an unprecedented world of scattered pieces of contextualized information available. However, the explosive growth and variety of information ironically lead users and service providers to make poor decision. In this situation, recommender systems may be a valuable alternative for dealing with these information overload. But they failed to utilize various types of contextual information. In this study, we suggest a methodology for context-aware recommender systems based on the concept of contextual boundary. First, as we suggest contextual boundary-based profiling which reflects contextual data with proper interpretation and structure, we attempt to solve complexity problem in context-aware recommender systems. Second, in neighbor formation with contextual information, our methodology can be expected to solve sparsity and cold-start problem in traditional recommender systems. Finally, we suggest a methodology about context support score-based recommendation generation. Consequently, our methodology can be first step for expanding application of researches on recommender systems. Moreover, as we suggest a flexible model with consideration of new technological development, it will show high performance regardless of their domains. Therefore, we expect that marketers or service providers can easily adopt according to their technical support.

• The Journal of Korean Association of Computer Education
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• v.5 no.3
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• pp.1-9
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• 2002

For teaching-learning activities to be effective, the teaching methods need to reflect the contents of instructional materials and the characteristics of the learners. The purpose of this paper is to investigate the effective ways of teaching computer programming languages. The main components of teaching computer programming languages might be the characteristics of the language itself, the function of design, and general problem-solving capacity. But the analysis of the Quality and environments of learners is much more important. To improve the Quality of teaching computer programming languages, the structured syllabus needs to be provided and a variety of teaching methods such as project-based approach, problem-based approach, cooperative learning, peer tutoring and case study should be applied selectively, depending upon the instructional situations. In addition, procedural and constructive evaluation process needs to be developed to monitor each stage of learning and to give the guidelines of completing the course projects.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.9
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• pp.3571-3577
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• 2010

The estimated location coordinator exploration scheme and the E&E(Equivalent distance rate & Estimated location coordinator exploration) compensation algorithm for localization is proposed, and the performance of the E&E is analyzed in this paper. The proposed scheme is adapted to the AEDR(Algorithm for localization using the concept of Equivalent Distance Rate). From several experiments, it is confirmed that the performance of the localization compensation in SDS-TWR is improved from 0.60m to 0.34m in four experimental scenarios, and the performance of the localization compensation ratio of the E&E is also better than that of the AEDR as a level of maximum 15%. It can be thought that the proposed localization compensation algorithm E&E can be sufficiently applicable to various localization applications because the performance of the localization error rate of the E&E is measured as less than 1m in 99% of the total performance experiments.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.3
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• pp.361-381
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• 2016

This study proposed two topical relevance models, simple and complex models, using EEG/ERP techniques. In the simple model regarding simple search tasks, N300 and P3b components are used. The N300 is specific to the semantic processing of pictures and the P3b reflects mechanisms involved in the decision about whether an external stimulus matches or does not match an internal representation of a specific category. In the complex model regarding complex search tasks, on the other hand, N400 and P600 components are used. The N400 reflects activation of an amodel system that integrates both image-based and conceptual representations into a context, whereas the P600 is related to complex cognitive processes. Our research results can be used as a source to design an EEG-based interactive multimedia system.

• The Journal of Korean Association of Computer Education
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• v.14 no.1
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• pp.45-54
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• 2011

Creativity is a fine ability among major values of human resource in knowledge-based society. The purpose of this study is to identify the components of the informatics creativity based on domain-specificity and confluence theory. To explore these components, a three-round, classical Delphi process was administered with an expert panel of 31 individuals. All members of the expert panel initially responded to open-ended questions, and the qualitative results were analyzed. The subsequent two rounds of the Delphi required quantitative responses in which the expert panel was asked to indicate the level of importance using a five point Likert scale associated with specific items. As a result of the Delphi survey, total of 32 items were selected as three core areas such as congnitive, affective and environmental components of informatics creativity.

• Journal of the Korean Society for Library and Information Science
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• v.45 no.1
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• pp.189-210
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• 2011

This study aims to explore how users are tagging in order to utilize a folksonomy and whether they understand the social and interactive aspects of tagging in three different folksonomic systems, Connotea (www.connotea.org), Delicious(http://delicious.com), and CiteULike(www.citeulike.org). The study uses internet questionnaires, qualitative diary studies, and follow-up interviews to understand twelve participants' tagging activities associated with folksonomic interactions. The flow charts developed from the twelve participants showed that tagging was a quite complex process, in which each tagging activity was interconnected, and a variety of folksonomic system features were employed. Three main tagging activities involved in the tagging processes have been identified: item selection, tag assignment, and tag searching and discovery. During the tag assignment, participants would describe their tagging motivations related to various types of tags. Their perception of the usefulness of types of tags was different when their purpose was for social sharing rather than personal information management. While tagging, participants recognized the social potential of a folksonomic system and used interactive aspects of tagging via various features of the folksonomic system. It is hoped that this empirical study will provide insight into theoretical and practical issues regarding users' perceptions and use of folksonomy in accessing, sharing, and navigating internet resources.

• Journal of The Korean Association of Information Education
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• v.22 no.2
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• pp.195-203
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• 2018

This thesis is to presented a theoretical fundamental of an assessment criteria available to a conventional curriculum because informatics subject matter education became it. We analyzed Bloom's Knowledge Dimension, Taxonomy that have suggested most general theoretical base in the educational assessment area. Also a programming area which can improve computational thinking can be the most important chapter of the informatics subject matter. Thus this thesis applied Bloom's theory to KAIE's informatics subject matter curriculum made by 2017. And the result of the qualitative research through the expert panel was 14 items, 87% of Conceptual, Procedural Knowledge and 12 items, 75% of Understand, Apply Taxonomy of Bloom's Theories in the 16 items of the curriculum outlines. Applying Bloom Criteria to like these can provide theoretical fundamental of assessment trend, development of assessment tool requested in the conventional education.

• The Mathematical Education
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• v.61 no.4
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• pp.581-595
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• 2022

The purpose of this study is to specify the procedure for making item models based on ontology models using automatic item generation in the mathematics subject through the CAFA system, and to explore the generated item instances. As an illustration for this, an item model was designed as a part of formative assessment based on the content characteristics, including concepts and calculations, and process characteristics, including application, using the representative values and the measures of dispersion in Mathematics of the 9th grade based on the evaluation criteria achievement standards. The item types generated in one item model were a best answer type, a correct answer type, a combined-response type, an incomplete statement type, a negative type, a true-false type, and a matching type. It was found that HTML, Google Charts, TTS, figures, videos and so on can be used as media. The implications of the use of digital evaluation based on automatic item generation were suggested in the aspects of students, pre-service teachers, general teachers, and special education, and the limitations of this study and future research directions were presented.

• Convergence Security Journal
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• v.22 no.2
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• pp.21-26
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• 2022

Wearing face masks is an effective measure to prevent COVID-19 infection. Infrared thermal image based temperature measurement and identity recognition system has been widely used in many large enterprises and universities in China, so it is totally necessary to research the face mask detection of thermal infrared imaging. Recently introduced MTCNN (Multi-task Cascaded Convolutional Networks)presents a conceptually simple, flexible, general framework for instance segmentation of objects. In this paper, we propose an algorithm for efficiently searching objects of images, while creating a segmentation of heat generation part for an instance which is a heating element in a heat sensed image acquired from a thermal infrared camera. This method called a mask MTCNN is an algorithm that extends MTCNN by adding a branch for predicting an object mask in parallel with an existing branch for recognition of a bounding box. It is easy to generalize the R-CNN to other tasks. In this paper, we proposed an infrared image detection algorithm based on R-CNN and detect heating elements which can not be distinguished by RGB images.

• Journal of The Korean Association of Information Education
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• v.21 no.6
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• pp.701-710
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• 2017

We studied educational model and contents required for information equipment, operating system, and information communication for developing KAIE computing system curriculum in elementary education. Therefore, we extracted key concepts and associated concepts and restructured the curriculum contents through analysis of national and international information education curriculum. We designed educational model that can be applied to elementary school, third and fourth graders, and fifth and sixth graders. The contents of the designed model were validated through expert verification by Delphi survey. The result of this study is expected to be applied to the development of learning strategies of various learner and teacher's teaching and learning model by combining learning contents elements of sub-area of computing system curriculum.