• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.1258-1260
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• 2022

재료공학에서 머신러닝을 이용해 목적 성능에 부합하는 물질의 조성을 탐색하는 연구가 있다. 물질의 성능은밀도 범함수 계산을 통해 시뮬레이션 할 수 있지만, 계산량이 많은 문제가 있다. 본 연구를 통해 우리는 고효율 페로브스카이트 태양광전지를 만들기 위한 페로브스카이트 조성을 추천하는 심층신경망과 베이지안 최적화 모델을 제안했다. 본 연구에서 높은 전력효율이 예상되는 페로브스카이트 조성을 심층신경망과 베이지안 최적화 방법을 통해 추천하는 모델을 구현하였다. 심층신경망 모델은 주어진 조성과 실험조건에서 예상되는 전력효율을 예측해 베이지안 최적화를 통한 탐색과정에서 소요되는 실험비용을 줄인다. 베이지안 최적화 모델은 실험공간을 입력으로 받아 고효율이 예상되는 실험조건을 출력하는데, 미리 설정한 실험공간만을 탐색하기 때문에 실험적으로 가능한 출력값만을 제시 할 수 있다. 본 연구는 심층신경망과 베이지안 최적화 방법을 조합해 주어진 실험공간을 탐색하는 시간과 비용을 최소화하는 방법을 제시한다

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.217-220
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• 2022

본 논문에서는 CCTV 영상 화질을 향상하고 해상도를 높이기 위해 딥 러닝(Deep Learning)을 이용하여 잡음 제거(Denoising) 와 초해상도(Super-resolution) 작업을 수행한다. 데이터 증강(Data Augmentation)을 통한 초해상도 성능 향상을 위해서 잡음 제거 네트워크의 출력 영상을 초해상도 네트워크의 입력으로 사용하는 순차적 작업을 사용한다. 또한 딥 러닝을 이용한 영상처리에서 발생하는 평균 밝기 오차 문제를 해결하기 위한 손실함수(Loss Function)와 두 가지 이상의 순차적인 딥 러닝 작업에서 발생하는 문제점을 극복하기 위한 손실함수를 제안한다. 제안하는 손실함수는 네트워크의 출력 영상과 타겟 영상의 밝기 오차를 줄이는 것이 가능하고, 순차적 작업에서 보다 정확한 모델 성능 판단이 가능하다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.1322-1324
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• 2022

최근 딥러닝의 발전에 따라 단일 이미지 초해상도 분야에 좋은 성과를 보여주고 있다. 그러나 보다 더 높은 성능을 획득하기 위해 네트워크의 깊이 및 파라미터의 수가 크게 증가하였고, 모바일 및 엣지 디바이스에 원활하게 적용되기 위하여 딥러닝 모델 경량화의 필요성이 대두되고 있다. 이에 본 논문에서는 초해상도 모델 중 하나인 EDSR(Enhanced Deep Residual Network)에 대조 학습 기반 지식 전이를 적용한 경량화 기법을 제안한다. 실험 결과 제안한 지식 전이 기법이 기존의 다른 지식 증류 기법보다 향상된 성능을 보임을 확인하였다.

• Asia pacific journal of information systems
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• v.32 no.1
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• pp.168-190
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• 2022

This review aims to synthesize social network theories by drawing on the importance of social network perspectives in understanding knowledge management with technology in organizations. I provide an overview of prior social network research with the following core ideas: the primacy of relations between organizational actors, the utility of actors' embeddedness in social fields, the social utility of network connections, and the structural patterning of social life. On top of that, I summarize critical social perspectives (the social capital theory, the structural hole theory, the embeddedness perspective, the social exchange theory, the organizational learning theory, and the innovation diffusion theory) to suggest potential research questions for future studies in social network research in the knowledge management discipline.

• Journal of Information Technology Applications and Management
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• v.28 no.5
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• pp.41-50
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• 2021

As COVID-19 spread widely, and rapidly, the number of misinformation is also increasing, which WHO has referred to this phenomenon as "Infodemic". The purpose of this research is to develop detection and rectification of COVID-19 misinformation based on Open-domain QA system and text similarity. 9 testing conditions were used in this model. For open-domain QA system, 6 conditions were applied using three different types of dataset types, scientific, social media, and news, both datasets, and two different methods of choosing the answer, choosing the top answer generated from the QA system and voting from the top three answers generated from QA system. The other 3 conditions were the Closed-Domain QA system with different dataset types. The best results from the testing model were 76% using all datasets with voting from the top 3 answers outperforming by 16% from the closed-domain model.

• Journal of information and communication convergence engineering
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• v.22 no.1
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• pp.7-13
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• 2024

User preferences and ratings may be anticipated by recommendation systems, which are widely used in social networking, online shopping, healthcare, and even energy efficiency. Constructing trustworthy recommender systems for various applications, requires the analysis and mining of vast quantities of user data, including demographics. This study focuses on holding elections with vague voter and candidate preferences. Collaborative user ratings are used by filtering algorithms to provide suggestions. To avoid information overload, consumers are directed towards items that they are more likely to prefer based on the profile data used by recommender systems. Better interactions between governments, residents, and businesses may result from studies on recommender systems that facilitate the use of e-government services. To broaden people's access to the democratic process, the concept of "e-democracy" applies new media technologies. This study provides a framework for an electronic voting advisory system that uses machine learning.

• Journal of the Semiconductor & Display Technology
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• v.23 no.1
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• pp.19-24
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• 2024

It is not an exaggeration to say that a single fire causes a lot of damage, so fires are one of the disaster situations that must be alerted as soon as possible. Various technologies have been utilized so far because preventing and detecting fires can never be completely accomplished with individual human efforts. Recently, deep learning technology has been developed, and fire detection systems using object detection neural networks are being actively studied. In this paper, we propose a new fire detection system that improves the previously studied fire detection system. We train the YOLOv8 model using refined datasets through improved labeling methods, derive results, and demonstrate the superiority of the proposed system by comparing it with the results of previous studies.

• Journal of Korean Library and Information Science Society
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• v.52 no.2
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• pp.331-355
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• 2021

The purpose of this study is to derive the implications of operating the Media and Information Literacy (MIL) curriculum in Korea through analysis of MIL curriculum and guidance in the Philippines. The Philippine Ministry of Education runs the MIL as a core subject that high school students in grades 2-3 had to complete. MIL in the Philippines is a tool curriculum that integrates information, media, and digital literacy. In the MIL curriculum, a total of 17 units are designed to be operated for a total of 80 hours, 20 weeks in a semester. And it presents two content criteria, two achievement criteria and 58 learning competencies. The implications drawn from the research results are as follows. First, the chapter presented in the MIL curriculum can be composed only of the knowledge of a higher category or core concept of subject content. Second, it is necessary to present the concept of the term used in the MIL curriculum and specific examples according to the concept. Third, it is necessary to specify the contents necessary for practice in the MIL textbook and to strengthen the competence for the function. MIL, proposed by UNESCO and designated and operated as a subject in the Philippines, needs to be designated as a subject in Korea and operated as a curriculum.

• Journal of the Korea Computer Graphics Society
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• v.28 no.3
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• pp.79-89
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• 2022

With the popularity and the advanced graphics hardware technology of mobile devices, various mobile applications that help children with physical activities have been studied. This paper presents SandUp, a mobile application that guides the play of building sand castles using artificial intelligence and augmented reality(AR) technology. In the process of building the sandcastle, children can interactively explore the target virtual sandcastle through the smartphone display using AR technology. In addition, to help children complete the sandcastle, SandUp informs the sand shape and task required step by step and provides visual and auditory feedback while recognizing progress in real-time using the phone's camera and deep learning classification. We prototyped our SandUp app using Flutter and TensorFlow Lite. To evaluate the usability and effectiveness of the proposed SandUp, we conducted a questionnaire survey on 50 adults and a user study on 20 children aged 4~7 years. The survey results showed that SandUp effectively helps build the sandcastle with proper interactive guidance. Based on the results from the user study on children and feedback from their parents, we also derived usability issues that can be further improved and suggested future research directions.

• Journal of the Korean association of regional geographers
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• v.14 no.3
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• pp.269-278
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• 2008

This research analyzed the effect of lessons with the GIS application as an alternative scheme of teaching and learning of geography in elementary school. Two classes in the third grade at Y elementary school in Andong were selected to conduct lessons on 'The Landscape of My Hometown' from March 6 through June 30, 2006. In the experimental class, the lessons were conducted with the GIS application; while, in a comparative class, the lessons were carried with usual teaching and learning method. To find out the effect of lessons with the GIS application, differences of spatial cognition of students were figured out between groups, and before and after lessons. The difference between the spatial concept development stages and materials on the textbook discouraged students to pursue their learning as well as made them hard to achieve the goals of lessons. The GIS application had been suggested as an alternative teaching and learning method to overcome the difference; however, it has been hard to find any empirical research to verify the effect of the lessons with GIS application in elementary school. The ability of spatial cognition of the third graders at an elementary school was very low as the result of that curricula in the first and second grades dealt with sketch maps as teaching and learning media. The map learning of third grader on the transitional stage would play the critical role to develop the spatial cognition ability in the future. The field study contributing to developing spatial cognition ability would not be conducted at school. It was required to have the alternative learning schemes such as lessons with GIS application. The lessons with GIS application verified effect of GIS application as the alternative method. The GIS application helped students to recognize landmarks, directions and distance effectively as well as reduced the spatial cognition difference among individuals and/or groups.