• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1064-1067
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• 2013

정보검색 기술의 발달과 더불어 검색에 대한 사용자의 요구사항이 다양해지고 있다. 특히, 스마트TV와 같은 장치에서 동영상 콘텐츠를 검색하는데 있어서 콘텐츠의 타이틀과 같은 정형 메타데이터를 이용한 검색뿐만 아니라, 콘텐츠 주제와 같은 비정형 메타데이터를 이용한 검색도 요구되고 있다. 이러한 검색 요구사항을 수용하기 위해서는 주제와 같은 비정형 메타데이터가 구축되어 있어야만 가능하다. 콘텐츠의 주제는 사람의 이해와 분석을 통해서 수작업으로 구축 가능하다. 본 논문에서는 수작업만으로 구축 가능한 콘텐츠의 주제를 기계학습을 기반으로 자동화 할 수 있는 기법을 제안하고, 제안한 기법의 실험을 통하여 타당성을 검증한다.

• 한국벤처창업학회:학술대회논문집
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• 2023.11a
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• pp.61-67
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• 2023

기업가정신의 중요성이 전 세계적으로 확산하며, 국내에서도 기업가정신 함양을 위한 다양한 형태의 교육들이 '창업교육', '기업가정신 교육', '앙트러프러너십 교육' 등 저마다의 이름과 형태로 실시되고 있다. 기업가정신 교육이 확산됨에 따라 관련 연구 또한 활발히 진행되고 있으나, 개별적인 연구결과가 일관된 결론을 도출하고 있는지는 확인되지 않았다. 아직까지 관련 연구들을 종합하여 교육 성과에 대한 통일된 결과를 제시하는 연구는 미비한 수준이다. 이에 본 연구에서는 최근 10년 동안 국내 학술지에 게재된 다수의 논문을 대상으로 메타분석과 키워드 네트워크 분석을 실시하여 기업가정신 교육 프로그램의 성과를 체계적이고 종합적으로 제시하고 관련 연구 동향을 검토하고자 한다. 본 연구를 통해 국내 기업가정신 교육의 효과성에 대한 타당하고 통일된 결론이 제시되어 기업가정신 교육 프로그램의 개선과 발전을 위한 유의미한 시사점을 제공할 수 있기를 기대한다.

• Informatization Policy
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• v.29 no.4
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• pp.26-42
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• 2022

In order to evaluate the usefulness of metaverse learning from the learner's point of view, this study 1) evaluated whether the expectancy-value of the class was satisfied before and after the learner used the metaverse learning platform and 2) verified factors affecting metaverse learning satisfaction with regard to the self-efficacy and expectancy-value of learners. Expectancy-value was evaluated by the learning effect, communication, class involvement, and learning attitude, whereas self-efficacy was evaluated by preference for task difficulty, self-regulation efficacy, and self-confidence. As a result of a study targeting 70 college students who applied for a few courses using the metaverse platform at a university in the northeastern part of Seoul, learners were found to have high expectations and values for learning before using the metaverse platform, but both were not statistically satisfied after use. In addition, the higher the self-efficacy of the learner, the higher the satisfaction with the metaverse learning, and statistically significant results were found in the task-difficulty preference and self-regulatory efficacy among the sub-factors of self-efficacy. There is a negative causal relationship between expectancy-value factors and satisfaction with metaverse learning. This study implies that it is a learner-centered evaluation of metaverse learning, revealing the expectancy-value effect and factors influencing the satisfaction with metaverse learning.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.207-228
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• 2023

After COVID-19, organizations have widely adopted platforms such as zoom or developed their proprietary online real-time systems for remote work, with recent forays into incorporating the metaverse for meetings and publicity. While ongoing studies investigate the impact of avatar customization, expansive virtual environments, and past virtual experiences on participant satisfaction within virtual reality or metaverse settings, the utilization of the metaverse as a dedicated workspace is still an evolving area. There exists a notable gap in research concerning the factors influencing the performance of the metaverse as a workspace, particularly in non-immersive work-type metaverses. Unlike studies focusing on immersive virtual reality or metaverses emphasizing immersion and presence, the majority of contemporary work-oriented metaverses tend to be non-immersive. As such, understanding the factors that contribute to the success of these existing non-immersive metaverses becomes crucial. Hence, this paper aims to empirically analyze the factors impacting personal outcomes in the non-immersive metaverse workspace and derive implications from the results. To achieve this, the study adopts the Embodied Social Presence (ESP) model as a theoretical foundation, modifying and proposing a research model tailored to the non-immersive metaverse workspace. The findings validate that the impact of presence on task engagement and task involvement exhibits a moderating effect based on the metaverse platform used. Following interviews with participants engaged in non-immersive metaverse workplaces (specifically Gather Town and Ifland), a survey was conducted to gather comprehensive insights.

• Proceedings of the KIEE Conference
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• 2007.04c
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• pp.29-33
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• 2007

In this paper, time-varying parameter of passive telemetry RF sensor system is estimated using RLS(Rescursive $\leq$* Square) algorithm. In order to overcome the problems such as power limits and complication that general RF sensor system including IC chip has, the principle of inductive coupling is applied to model sensor system The model parameter is rearranged for applying RLS algorithm based on mathematical model to the derived model using inductive coupling principle. Time variant parameter of rearranged model is estimated using forgetting factor, and in case measured data is contaminated by noise and modelling error, the performance of RLS algorithm characterized by the convergence of squared error sum is verified by simulation.

• The Journal of the Korea Contents Association
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• v.18 no.10
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• pp.298-305
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• 2018

The objective of this present study was to investigate the overall effects of strategy instruction on Korean students' English language learning. In order to do so, 55 individual experimental results in 46 journal articles were collected, and a meta-analysis was carried out to them. This study also analyzed the results of studies on strategy instruction according to various variables such as school types, treatment periods, and types of dependent variable. The mean effect size of strategy instruction in English language teaching is .536, which means the medium effects in general. No statistically significant differences were found among various moderators and dependent variables. Based on these results, suggestions for further research are discussed.

• Journal of Korea Game Society
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• v.9 no.5
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• pp.73-82
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• 2009

Many organizations at home and abroad have been developing Metadata for reservation and administration of resources in every field. So we developed a game contents Metadata model for the purpose of reusing game contents, reserving copyrights, managing its life cycle, supporting efficiency of searches, and so on. We proceeded with this study by mapping, re-defining, and adding through the analysis of international Metadata standards and the survey of characteristics of game. Developed model is composed of 13 essential elements, 15 selective elements, and expressed by XML. Then we verified the effectiveness of this model's through expert groups' questionnaires, and showed the significance of the development through comparative analysis with the standard models. Accordingly we guess this study will be helpful to stable growth in rapidly growing game industry.

• Smart Media Journal
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• v.12 no.7
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• pp.84-92
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• 2023

This study tested the hypothesis through confirmatory factor analysis to confirm the relationship between Brand experiences (Deviant, Entertainment, and Aesthetic experiences) in Metaverse on Interest and Immersion, and to verify whether these Interests and Immersion have a significant impact on Recommendation intention. As a result of the study, it was confirmed that all Brand experience factors had a positive (+) effect on Interest and Immersion, Interest had a positive (+) effect on Immersion, and Interest and Immersion had a positive (+) effect on Recommendation intention.

• Annual Conference on Human and Language Technology
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• 2022.10a
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• pp.369-373
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• 2022

기존의 관계 추출 태스크에서의 많은 연구들은 사전학습 언어모델을 파인튜닝하여 뛰어난 성능을 달성해왔다. 하지만, 파인튜닝은 사전학습 시의 학습 기법과의 간극으로 인해 일반화 능력을 저해한다. 본 연구는 다운스트림 태스크를 사전학습의 Masked Language Modeling (MLM) 기법을 통해 해결하는 프롬프트 기반의 학습 기법을 활용하여, 특정 한국어 도메인에서의 관계 추출을 위한 프롬프트 기반 파인튜닝 방법론을 제안한다. 실험의 경우, 도메인의 특성이 뚜렷한 전통문화유산 말뭉치를 대상으로 실험을 진행하여 본 방법론의 도메인 적응력을 보이며, 메타 정보 즉, 개체 유형 및 관계 유형의 의미론적 정보를 일종의 지식 정보로 활용하여 프롬프트 기반 지식 주입의 효과성을 검증한다. 프롬프트에의 메타 정보의 주입과 함께 프롬프트 기반으로 파인튜닝된 모델은 오직 MLM 기법만을 이용하여 태스크를 수행하여 기존 파인튜닝 방법론 대비 파라미터 수가 적음에도, 성능 면에서 대부분 소폭 상승하는 경향을 보여줌으로써 그 효과성 및 효율성을 보인다.

• Smart Media Journal
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• v.12 no.9
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• pp.38-44
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• 2023

In this paper, a blockchain-based platform of NFT(Non-Fungible Token) reports was proposed to ensure the reliable performance contents of field study trip. It is possible to identify and manage the personal multi biomeric authentication user ID of activity records for students in a mobile IP-based metaverse with the linkage of extended reality(XR). At this time, many quests and incentives of platform are provided to induce students to experience smart and fun field studying facilities by linking real trip experiences and virtual extended_reality studies in the metaverse interworking.