• 한국산업정보학회논문지
• /
• 제23권3호
• /
• pp.87-95
• /
• 2018

최근 인공지능(Artificial Intelligence; A.I.)의 기술 발전과 함께 이에 대한 관심이 증가하고 있으며 관련 시장도 비약적으로 확대되고 있다. 아직은 초기단계이지만 2000년 이후 현재까지 계속 확장되고 있는 인공지능 기술 분야의 연구방향과 투자 분야에 대한 불확실성을 줄이는 것이 중요한 시점이다. 이러한 기술 변화와 시대적 요구에 따라서 본 연구는 빅데이터(Big Data) 분석방법 중 텍스트 마이닝(Text Mining)과 토픽모델링(Topic Modeling)을 활용하여 기술동향을 살펴보고, 핵심기술과 성장 가능성이 있는 연구의 향후 방향성을 제시하였다. 본 연구의 결과로부터 인공지능의 기술동향에 대한 이해를 바탕으로 향후 연구 방향에 대한 새로운 시사점을 도출할 수 있으리라 기대한다.

• Journal of Information Science Theory and Practice
• /
• 제6권4호
• /
• pp.39-53
• /
• 2018

While the body of research on metadata has grown substantially, there has been a lack of systematic analysis of the field of metadata. In this study, we attempt to fill this gap by examining metadata literature spanning the past 20 years. With the combination of a text mining technique, topic modeling, and network analysis, we analyzed 2,713 scholarly papers on metadata published between 1995 and 2014 and identified main topics and trends in metadata research. As the result of topic modeling, 20 topics were discovered and, among those, the most prominent topics were reviewed in detail. In addition, the changes over time in the topic composition, in terms of both the relative topic proportions and the structure of topic networks, were traced to find past and emerging trends in research. The results show that a number of core themes in metadata research have been established over the past decades and the field has advanced, embracing and responding to the dynamic changes in information environments as well as new developments in the professional field.

• 전자통신동향분석
• /
• 제34권6호
• /
• pp.164-174
• /
• 2019

This article presents low altitude small drone identification trends at home and abroad. To reduce the dysfunction caused by the proliferation of drones worldwide, there is a growing interest in remote identification technologies that can identify the basic information of the drone. First, this article introduces policy trends in major countries. US, Europe, and China have recently provided recommendations regarding technologies available for the remote identification and tracking of a drone. Next, standardization activities on identification communications and identification systems are introduced. For this, standards organizations for the small drone identification, such as the International Organization for Standardization, IEEE 802, Radio Technical Commission for Aeronautics, International Civil Aviation Organization, and $3^{rd}$ Generation Partnership Project, are investigated. Finally, drone identification technology trends are introduced. In the US and Europe, various drone identification technologies have been studied to identify a drone owner and drone registration information with a drone identifier. In South Korea, drone identification technology is still in its infancy, whereas drone detection and physical counterattack technologies are somewhat more developed. As such, major drone manufacturers are also currently studying and developing drone identification systems.

• 지식경영연구
• /
• 제14권1호
• /
• pp.121-132
• /
• 2013

In education, innovative ways of teaching and learning are always under development and keep being proposed with advanced concepts since the ancient times. Student-centered learning, problem-based learning and cooperative learning have been three major trends under development in secondary education research and practice more than a decade or so. Combined with advanced information and communication technologies, these trends will greatly transform the way we teach and learn in classroom environment and may change the classroom environment itself, into a more interactive and self-centered coaching type environment. In this study, a smart environment that utilizes advanced information technology devices and network is conceptualized, accommodating requirements contained and proposed in the recent trendy pedagogies. Pedagogical cases discussed in these trends are analyzed in detail, producing requirements for such a learning and coaching environment. These requirements are modeled using unified modeling language, leading to a proposal of a basic architecture for an information system supporting this environment.

• 전자통신동향분석
• /
• 제33권1호
• /
• pp.57-67
• /
• 2018

Modern users are intensifying their use of online services every day. In addition, hackers are attempting to execute advanced attacks to steal personal information protected using existing authentication technologies. However, existing authentication methods require an explicit authentication procedure for the user, and do not conduct identity verification in the middle of the authentication session. In this paper, we introduce an implicit continuous authentication technology to overcome the limitations of existing authentication technology. Implicit continuous authentication is a technique for continuously authenticating users without explicit intervention by utilizing their behavioral and environmental information. This can improve the level of security by verifying the user's identity during the authentication session without the burden of an explicit authentication procedure. In addition, we briefly introduce the definition, key features, applicable algorithms, and recent research trends for various authentication technologies that can be used as an implicit continuous authentication technology.

• 전자통신동향분석
• /
• 제37권4호
• /
• pp.1-10
• /
• 2022

As the response to climate change becomes a more pressing global issue, so do expectations for climate change in the green information and communication technology (ICT) industry and the possibility of solving environmental problems through ICT. However, because the green ICT industry is still in its early stages, there is little research on it. Understanding the startup ecosystem in the industry is helpful for recognizing innovation trends in emerging technologies such as green ICT. In this regard, this paper investigates the current state and characteristics of the green ICT ecosystem and presents implications based on an examination of startup venture capital investment trends and submarket identification in the green ICT industry as emphasized by the carbon neutrality paradigm shift. The analysis included 4,807 companies and 3,990 funding records, as well as exploratory data analysis and "k-means" clustering techniques.

• Proceedings of the National Institute of Ecology of the Republic of Korea
• /
• 제1권1호
• /
• pp.31-40
• /
• 2020

The rapid development of technologies in unmanned aerial vehicles (UAVs) has led to their use in various areas. UAVs are mainly used for commercial purposes, but their utilization is increasingly important in other areas because their operation cost is less than satellites and aerial imaging. The utilization of UAVs in the environment/ecology area is relatively new. Therefore, identifying the trends of UAV-related spatial information is significant in basic research for UAV utilization. This study quantitatively identified domestic and international research trends related to UAV utilization and analyzed research areas. An attempt was also made to identify upcoming UAV-related topics in the environment/ecology research field using text mining to analyze the bibliographic information of global research literature. Domestic UAV-related studies were classified into seven clusters where basic research on "UAV technology/industry trends" was abundant, and studies on data collection and analysis through UAV remote sensing technology have increased since 2015. Eight clusters were identified for international studies where the most active research area international was "remote sensing technology/data analysis". In addition, Canopy, Classification, Forest, Leaf Area Index, Normalized Difference Vegetation Index, Temperature, Tree, and Atmosphere appeared as the main keywords related to environment and ecology. The appearance frequencies and association strengths were high because the advancement in UAV optical sensor technology and the rapid development of image processing technology enabled the acquisition of data that could not be obtained from existing spatial information. They are recognized as future research topics as related domestic studies have begun corresponding to international research.

• 한국정보처리학회:학술대회논문집
• /
• 한국정보처리학회 2023년도 춘계학술발표대회
• /
• pp.748-750
• /
• 2023

Facial expression recognition technology's rapid growth and development have garnered significant attention in recent years. This technology holds immense potential for various applications, making it crucial to stay up-to-date with the latest trends and advancements. Simultaneously, it is essential to identify and address the challenges that impede the technology's progress. Motivated by these factors, this study aims to understand the latest trends, future directions, and challenges in facial expression recognition technology by utilizing text mining to analyze papers published between 2020 and 2023. Our research focuses on discerning which aspects of these papers provide valuable insights into the field's recent developments and issues. By doing so, we aim to present the information in an accessible and engaging manner for readers, enabling them to understand the current state and future potential of facial expression recognition technology. Ultimately, our study seeks to contribute to the ongoing dialogue and facilitate further advancements in this rapidly evolving field.

• 한국융합학회논문지
• /
• 제11권7호
• /
• pp.9-18
• /
• 2020

본 논문의 연구목표는 LDA(Latent Dirichlet Allocation) 모델을 적용하여 국가연구개발사업을 통해 수행되고 있는 ICT(Information and Communication Technology) 분야의 연구과제에 대한 주요 연구 토픽과 동향을 탐색하는데 있다. 연구방법에는 NTIS(National Science and Technology Information Service)로부터 최근 5년간 국가연구개발사업의 전체 연구과제 정보를 다운로드받고 이를 정보통신기획평가원(IITP)의 EZone 시스템과 매칭하여 ICT 분야 연구과제 5,200건을 확보하고, 토픽모델링 기법중 하나인 LDA 모델을 적용하여 연구토픽과 연구동향을 조사하였다. 실험결과로, ICT분야 연구과제에 대한 연구토픽은 인공지능, 빅데이터, 사물인터넷(Internet of Things)과 같은 지능정보기술로 확인되었고 연구동향에는 초실감미디어에 관한 연구가 활발히 진행되고 있음을 확인하였다. 끝으로 본 논문에서 진행된 국가연구개발사업에 대한 토픽모델링 결과는 향후 ICT분야 연구개발 계획 및 전략수립, 정책, 과제기획 등 중요한 정보로 활용될 수 있을 것이다.

• 한국문헌정보학회지
• /
• 제33권2호
• /
• pp.169-184
• /
• 1999

본 논문은 변화가 요구되는 한국문헌정보학계 및 업계를 위해, 영국에서의 문헌정보학계 동향을 소개한 것이다. 영국문헌정보학계 및 업계의 역사와 그 발전단계, 커리큘럼의 변천 그리고 새로운 정보시장의 출현 및 영향 등에 대한 최근의 움직임을 살펴보았다. 크게 네 가지로 변천추이가 밝혀졌는데 그 내용은 다음과 같다. 첫째로 학과 명칭의 변화가 있다. 둘째, 학과 교과목의 재편성이 일어나고 있다. 셋째, 다른 학과와의 통합현상이 일어나고 있다. 넷째, 정보기술교육이 강조되고 있다.