• Smart Media Journal
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• v.5 no.3
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• pp.88-92
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• 2016

This paper proposes a method of forecasting the computer technology development direction. Most computer technology researches in Korea are developed from hot research issues. This approach to take research topics mostly produces less valuable results. In order to choose more valuable research topics, researchers should company with the technology development trends. This paper proposes a way to forecast the computer technologies on the way to the future. It analyzes the development history of programming languages, and forecasts future directions as extensions of the history.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.4
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• pp.1738-1764
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• 2019

With the advent of big data, deep learning technology has become an important research direction in the field of machine learning, which has been widely applied in the image processing, natural language processing, speech recognition and online advertising and so on. This paper introduces deep learning techniques from various aspects, including common models of deep learning and their optimization methods, commonly used open source frameworks, existing problems and future research directions. Firstly, we introduce the applications of deep learning; Secondly, we introduce several common models of deep learning and optimization methods; Thirdly, we describe several common frameworks and platforms of deep learning; Finally, we introduce the latest acceleration technology of deep learning and highlight the future work of deep learning.

• Journal of Information Processing Systems
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• v.17 no.6
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• pp.1138-1156
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• 2021

Emotional semantics are the highest level of semantics that can be extracted from an image. Constructing a system that can automatically recognize the emotional semantics from images will be significant for marketing, smart healthcare, and deep human-computer interaction. To understand the direction of image emotion recognition as well as the general research methods, we summarize the current development trends and shed light on potential future research. The primary contributions of this paper are as follows. We investigate the color, texture, shape and contour features used for emotional semantics extraction. We establish two models that map images into emotional space and introduce in detail the various processes in the image emotional semantic recognition framework. We also discuss important datasets and useful applications in the field such as garment image and image retrieval. We conclude with a brief discussion about future research trends.

• International Journal of Advanced Culture Technology
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• v.10 no.4
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• pp.453-459
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• 2022

This study attempted to explore the realization and research direction of a successful metaverse environment in the future by analyzing international research trends of the metaverse using topic modeling. A total of 208 papers among WoS and ScienceDirect papers using metaverse as keywords were selected, and quantitative frequency analysis and topic modeling were performed. As a result, it was confirmed that research has rapidly increased after 2022. The main keywords of the research topics were 'second', 'life', 'learning', 'reality', 'metaverse', 'virtual', 'blockchain', 'nft', 'medical', 'avatar', etc. The topic keywords 'Second life & Education' and 'Virtual Reality & Medical' accounted for a large proportion of 57%, followed by 'Blockchain & Cryptocurrency', 'Avatar & Interaction', and 'Sensing and Device'. As a result of semantic analysis, current metaverse research is focused on application and utilization, and research on underlying technologies and devices is also active. Therefore, it is necessary to identify the commonalities and differences between domestic and foreign studies, and to study the application method considering the domestic environment. In addition, new jurisprudence research is more necessary along with predicting new problems. It is expected that the results of study will provide the right research direction for domestic researchers in the era of digital transformation and contribute to the realization of a digital society.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.717-722
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• 2003

A driving simulator is a computer-controlled tool to study an interface between a driver and vehicle response by enabling the driver to participate in judging vehicle characteristics. Using the driving simulator, human factor study, vehicle system development and other research can be effectively done under controllable, reproducible and non-dangerous conditions. An Adaptive Cruise Control (ACC) system is generally regarded as a system that can be achieved in the near future without the demanding infrastructure components and technologies. ACC system is an automatic vehicle following system with no human engagement in the longitudinal vehicle direction. And the influence of the driver is substantial in developing the system. Driving characteristic is very different according to the accident riskiness, gender, age and so on. In this research, experiments have been carried out to investigate driving characteristics with the ACC system, using a driving simulator. Participants are 21 male and 19 female. Driving characteristics such as preferred headway-time, lane keeping ability, eye direction, and head movement have been observed and compared between the driving with ACC and the driving without ACC.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2007.04a
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• pp.346-351
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• 2007

As the construction technology is rapidly advancing internationally, the necessity of virtual construction technology development is drastically demanded in the construction industry together with a fusion technology with information technology(IT). The construction technology will be changed as the paradigm of construction technology in the future. The establishment of building structural system in the virtual construction basis is necessary for the integration of construction process, and it will be expected to produce the effect of reduction of construction period and quality improvement through the environment of integration. This study is to present the analysis of the existing process of structural design, the content of research & development as per the building structural system on virtual construction basis and the direction of research.

• Food Science and Industry
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• v.55 no.1
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• pp.95-104
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• 2022

Climate change due to global warming is affecting the global environment. The fishery industry is highly dependent on the natural environment, so the fishery industry is increasingly volatile due to the rapidly changing climate change. At the same time, consumers' anxiety due to marine pollution such as microplastics, radioactivity, and heavy metals are increasing. Accordingly, cell-based seafood are being proposed as an alternative for the sustainable use of seafood resources. Cell-based seafood manufactured through a process of differentiation and proliferation using cells isolated from actual seafood and cell, scaffold, media, and bioreactor technologies are organically connected to each other. This review summarizes the latest research status of cell-based seafood. Based on this, suggests a development direction for cell-based seafood to properly settle in the future market.

• 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.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.13
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• pp.439-451
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• 2000

This paper aims to define country risk, review previous literature, and provide future direction for further research. Country risk is found to be analyzed in various ways in export, foreign direct investment and international finance, and thus analysis of the risk needs an integrated perspective and individual one as well. Systematic analysis, in particular, concentrating on relationship and structure within several risk is required in order to understand the country risk academically and to manage it practically.

• Ceramist
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• v.21 no.1
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• pp.4-11
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• 2018

Display is an essence in human-machine communication interface. As mobile environment such as internet of things (IOT) and Artificial Intelligence (AI) progress, importance of display increases. Here we review research trend in flexible organic light emitting displays (OLEDs). This review article covers all the components consisting of flexible OELDs and shows direction of the recent research. This paper would be helpful for readers and researchers working in this field and provide perspective for future displays.