• Korean Medical Education Review
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• v.20 no.2
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• pp.91-102
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• 2018

This study explored medical students' major research topics and research methods by analyzing 184 academic articles pertaining to the characteristics of medical students from 2007 to 2017. Results showed many papers dealing with medical students' emotional and cognitive aspects, student counseling, clinical practice education, and curriculum management. According to the medical education accreditation board, research trends were found mostly in the student and curriculum areas of learner characteristics, medical humanities, student counseling, clinical practice education, and curriculum management. Common research topics have been steadily increasing since the introduction of the evaluation accreditation standard in 2012. Medical students predominantly used quantitative research methods for the studies. In the future, it is necessary to ensure that research topics such as CQI, digital- and performance-based clinical practice, and convergent curriculum within the Fourth Industrial Revolution are being studied. In addition, it is crucial to investigate learners' unique, dynamic, and qualitative characteristics through qualitative and mixed methods.

• Electronics and Telecommunications Trends
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• v.32 no.5
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• pp.30-38
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• 2017

Digital holography is generally regarded as one of the most possible candidates for achieving a real 3D display system in that it can fully record and reconstruct the wave characteristics of light. In addition, 3D display systems based on digital holographic technology do not cause a vergence-accommodation mismatch problem. In this report, the recent trends in digital holographic display technology are described, and recent research results related to the fields of augmented reality and virtual reality are also briefly reported.

• Electronics and Telecommunications Trends
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• v.33 no.3
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• pp.11-21
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• 2018

Assessment technologies regarding the perceptual quality of images and videos have been receiving significant attention, as they serve as essential tools for monitoring and improving the quality of various media services. In this paper, we review the technology trends of recent studies on the perceptual quality assessment of images and videos, and discuss the future direction of this research field.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.07a
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• pp.203-204
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• 2015

This study examines the view of global trends in the Arctic Shipping. It is also provides a framework for understanding how participated in Arctic. The trends that had made it a centre of global attention. Surge of interest in its economy and politics has increased. That surge was driven by three things. Political and business agreements in the Arctic and with Arctic states, a trend that is likely to continue as the Arctic warms.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2011.11a
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• pp.183-185
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• 2011

Mongolia is aiming at connect and expand global trade to third countries using Russia, China and East Asian ports. Also, trying to evolve infrastructure and super-frastructure in international maritime transportation. This paper presents maritime development trends in Mongolia and focuses on discussing the current situation of international maritime plan and points out some issues currently facing by the policy to develop promoting the country's maritime businesses. Finally, this paper presents some future directions for developing the maritime transportation in Mongolia.

• Electronics and Telecommunications Trends
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• v.33 no.4
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• pp.61-69
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• 2018

Driver-specific technology in the automotive field has been commercialized for vehicle accessories, driver memory sheets, and side mirrors. In recent years, the demand for customized technology has expanded to include the user interface of an infotainment system (Infotainment System) and advanced driver support system (Advanced Driver Assistance System), and customized technologies for drivers have been studied. Therefore, this article describes the driver-tailored technology trends being studied in these fields, and examines the major research issues related to future driver-tailored technologies in the automotive field.

• KIEAE Journal
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• v.7 no.2
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• pp.77-85
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• 2007

Korean society expects to be changing into aged society more rapidly than any other countries due to low birthrate and increase in life expectancy. Increasing number of elderly and social problems of aging society have provoked increase in research on elderly environment. Elderly housing facilities and living conditions are significantly related to the quality of life for older persons. The purpose of this study is to systematically analyze empirical studies on elderly physical environments in Korea, find out research streaming and understand social backgrounds and to suggest future research problems. For this study, contents analysis was conducted. Articles of four academic peer reviewed journals published from 1986 to 2005 were units of analysis. Using a keyword through library database systems, the articles were systematically selected. As results, trends of research according to 4 periods were defined. Among them as major trends, expansion of the quantity, expansion to interior design features for older persons, more facility types for dependent elderly(assisted living facilities, facilities for elderly with dementia, long term care facilities) have appeared. This result showed some directions and implications on elderly facility planning and development.

• Journal of Fisheries and Marine Sciences Education
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• v.28 no.3
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• pp.872-880
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• 2016

The purpose of this study is to find the research trends relating to flipped learning through keyword network analysis. For investigating this topic, final 100 papers (removed due to overlap in all 205 papers) were selected as subjects from the result of research databases such as RISS, DBPIA, and KISS. After keyword extraction, coding, and data cleaning, we made a 2-mode network with final 202 keywords. In order to find out the research trends, frequency analysis, social network structural property analysis based on co-keyword network modeling, and social network centrality analysis were used. Followings were the results of the research: (a) Achievement, writing, blended learning, teaching and learning model, learner centered education, cooperative leaning, and learning motivation, and self-regulated learning were found to be the most common keywords except flipped learning. (b) Density was .088, and geodesic distance was 3.150 based on keyword network type 2. (c) Teaching and learning model, blended learning, and satisfaction were centrally located and closed related to other keywords. Satisfaction, teaching and learning model blended learning, motivation, writing, communication, and achievement were playing an intermediary role among other keywords.

• Journal of the Korean Institute of Landscape Architecture
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• v.36 no.1
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• pp.70-79
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• 2008

The purpose of this study is to construct the fundamental data for setting a valid viewpoint as the base of landscape planning and management practices. To do this, we analyzed the preceding dissertations and landscape plan reports which presented the selection criteria of viewpoint. 37 research samples containing the criteria of viewpoint were investigated. The selection criteria and trends of viewpoint were analyzed as follows : Firstly, by analyzing the preceding researches we were able to grasp the criteria that had been used to set viewpoint. Secondly, we investigated the differences in criteria of selecting the viewpoint according to the research type, research time and view object. Finally, we analyzed the trends of viewpoint selection criteria and classified the characteristics and selection criteria of viewpoint based on an overview of the research content. It can be concluded that the criteria of viewpoint are intimately linked to the view object, the purpose and role of viewpoint which is related to the landscape planning and management practices. According to this study, we can find that the selection criteria and trends of viewpoint have been used in the research related to the view plane following the 1990's. Hereafter, additional research and the comparisons with researches abroad is necessary to set the objective selection criteria of viewpoint.

• Electronics and Telecommunications Trends
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• v.33 no.5
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• pp.121-134
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• 2018

The Von Neumann based architecture of the modern computer has dominated the computing industry for the past 50 years, sparking the digital revolution and propelling us into today's information age. Recent research focus and market trends have shown significant effort toward the advancement and application of artificial intelligence technologies. Although artificial intelligence has been studied for decades since the Turing machine was first introduced, the field has recently emerged into the spotlight thanks to remarkable milestones such as AlexNet-CNN and Alpha-Go, whose neural-network based deep learning methods have achieved a ground-breaking performance superior to existing recognition, classification, and decision algorithms. Unprecedented results in a wide variety of applications (drones, autonomous driving, robots, stock markets, computer vision, voice, and so on) have signaled the beginning of a golden age for artificial intelligence after 40 years of relative dormancy. Algorithmic research continues to progress at a breath-taking pace as evidenced by the rate of new neural networks being announced. However, traditional Von Neumann based architectures have proven to be inadequate in terms of computation power, and inherently inefficient in their processing of vastly parallel computations, which is a characteristic of deep neural networks. Consequently, global conglomerates such as Intel, Huawei, and Google, as well as large domestic corporations and fabless companies are developing dedicated semiconductor chips customized for artificial intelligence computations. The AI Processor Research Laboratory at ETRI is focusing on the research and development of super low-power AI processor chips. In this article, we present the current trends in computation platform, parallel processing, AI processor, and super-threaded AI processor research being conducted at ETRI.