• The Korean Journal of Archival Studies
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• no.67
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• pp.99-138
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• 2021

In the era of big data, analyzing not only structured data but also unstructured data is emerging as an important task. Official documents produced by government agencies are also subject to big data analysis as large text-based unstructured data. From the perspective of internal work efficiency, knowledge management, records management, etc, it is necessary to analyze big data of public documents to derive useful implications. However, since many of the public documents currently held by public institutions are not in open format, a pre-processing process of extracting text from a bitstream is required for big data analysis. In addition, since contextual metadata is not sufficiently stored in the document file, separate efforts to secure metadata are required for high-quality analysis. In conclusion, the current official documents have a low level of machine readability, so big data analysis becomes expensive.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.204-216
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• 2021

This study empirically analyzed factors affecting consumers' intention to use metaverse by applying the extended technology acceptance model. In other words, the factors affecting the intention to use the metaverse were set as content quality, perceived enjoyment, social influence, self-efficacy, and investigated from the perspective of the expanded technology acceptance model. For this end, a survey was conducted on 296 university students in Seoul, and the collected data from 267 students were analyzed using SPSS 25.0 and AMOS 23.0. As a result, it was found that perceived usefulness and perceived ease of use, which are the antecedent variables of the extended technology acceptance model, affect the intention to use the metaverse, and perceived ease of use has an effect on perceived usefulness. Content quality and perceived enjoyment had an effect on perceived usefulness, perceived ease of use and intention to use metaverse. Social influence was found to affect perceived usefulness and intention to use metaverse. Also, self-efficacy was found to affect perceived ease of use and intention to use metaverse.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.361-368
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• 2021

Daily life such as society, economy, and culture is fundamentally changing due to COVID-19, and digital transformation based on information technology (IT) such as artificial intelligence, data, and cloud is accelerating. In this study, we focused on the metaverse, which is based on the interaction between the virtual world and the real world, and explored the possibility of using the metaverse-based platform for education. The metaverse-based platform was approached from the perspective of the online education ecosystem, which means that not only online teaching and learning activities but also holistic educational activities such as learning, communication, and empathy are performed within the metaverse. In this metaverse platform, learners can feel the presence of learning, and learning motivation and immersion can be promoted. In addition, it is possible to experience self-directed learning based on the autonomy of spatial movement. Although there are technical and ethical limitations to applying the metaverse platform, it would be preferable to focus more on the interaction between learners in the metaverse world rather than high expectations.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.589-591
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• 2003

현재 대부분 e-Learning에서 이루어지고 있는 교육은 학습(Loaming)이 아닌 단순 훈련(Trainning)만이 이루어지고 있다. e-Learning에서 진정한 학습이 이루어지기 위해서는 학습자의 수준에 맞는 적응적(Adaptive), 적시적(Just-in-Time) 학습이 단편적이 아닌 연속적, 통합적으로 이루어져야 한다. 이를 위해서는 기술적 관점뿐만 아니라, 발견적 학습(heuristic learning)관점에서 학습자원이 기술되고, 컴퓨터(에이전트)가 학습자원의 구성요소인 학습목표(Goal), 학습내용(Content), 학습맥락(Context), 학습구조(Structure), 학습전략(Strategy)의 의미(Semantic)와 관계(Relation)를 이해해 학습자에게 필요한 정보만을 검색, 추론해주고 이를 학습자 수준에 맞게 재가공해 학습자에게 지식(Knowledge)을 적응적(Adaptive), 적시적(Just-in-Time)으로 전달해주는 e-Learning 학습 환경이 필수적이다. 메타데이터(RDF), 온톨로지(Ontology), 에이전트(Agent) 매커니즘의 시멘틱 웹을 e-Learning 환경에 적용함으로써 학습자원의 구성요소의 의미와 관계를 파악해 적응적(Adaptive)으로 지식을 전달해 주어 자기 주도적 학습(Self-directed Loaming)을 실현해 줄 수 있다.

• Journal of Korean Society of Archives and Records Management
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• v.20 no.2
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• pp.107-113
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• 2020

This case focuses on the Seoul Credit Guarantee Foundation, which applied RFID technology as a record management system for efficient record management by identifying the characteristics of the agency's work that requires the management of large and similar nonelectronic records. When issuing RFID tags in conjunction with the business system, the records management system automatically obtains metadata from the system and secures it as a list, and records management personnel actively use it as the basis for overall records management tasks. To that end, the company reorganized its business processes, designed functions that reflect its unique business, and established infrastructure. These resulted in easier identification of the output and holding volume of accurate records, and work efficiency. Finally, people in charge of the work increased their awareness of records management.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.2
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• pp.91-96
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• 2022

At the current camera-based technology level, sensor-based basic life pattern recognition technology has to suffer inconvenience to obtain accurate data, and commercial band products are difficult to collect accurate data, and cannot take into account the motive, cause, and psychological effect of behavior. the current situation. In this paper, radar technology for life pattern recognition is a technology that measures the distance, speed, and angle with an object by transmitting a waveform designed to detect nearby people or objects in daily life and processing the reflected received signal. It was designed to supplement issues such as privacy protection in the existing image-based service by applying it. For the implementation of the proposed system, based on TI IWR1642 chip, RF chipset control for 60GHz band millimeter wave FMCW transmission/reception, module development for distance/speed/angle detection, and technology including signal processing software were implemented. It is expected that analysis of individual life patterns will be possible by calculating self-management and behavior sequences by extracting personalized life patterns through quantitative analysis of life patterns as meta-analysis of living information in security and safe guards application.