• 전자통신동향분석
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• 제32권6호
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• pp.96-104
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• 2017

In general, virtual reality (VR) and augmented reality (AR) are technologies used to overcome the limitations of space and time in human communications. Currently, VR and AR companies are mostly developing contents for a single user. However, it is expected that there will be a need for sharing experiences among two or more users in a VR/AR environment. In this paper, we investigate the trends in remote collaboration technologies for VR/AR that allow two or more users to share video, voice, and gestures, as well as emotions. We will also discuss the future of such technologies.

• 전자통신동향분석
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• 제33권5호
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• pp.1-12
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• 2018

One of the most remarkable aspects of the recently completed 3GPP release-15 (5G new radio phase 1) is the fact that some millimeter-wave bands have been officially approved for 5G mobile communications. Because the demand for higher transmission capacity has only grown, other millimeter-wave or even higher-frequency terahertz-wave bands have attracted more attention over time. Based on this effort, this paper reviews and discusses the existing technologies and their trends in high-frequency circuits and systems at the millimeter and terahertz-wave bands, particularly for future mobile communications.

• 전자통신동향분석
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• 제35권2호
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• pp.69-78
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• 2020

Small portable devices such as mobile phones and laptops currently display a trend of high power consumption owing to their characteristics of high speed and multifunctionality. Low-power SoC design is one of the important factors that must be considered to increase portable time at limited battery capacities. Popular low power SoC design techniques include clock gating, multi-threshold voltage, power gating, and multi-voltage design. With a decreasing semiconductor process technology size, leakage power can surpass dynamic power in total power consumption; therefore, appropriate low-power SoC design techniques must be combined to reduce power consumption to meet the power specifications. This study examines several low-power SoC design trends that reduce semiconductor SoC dynamic and static power using EDA tools. Low-power SoC design technology can be a competitive advantage, especially in the IoT and AI edge environments, where power usage is typically limited.

• 한국주거학회논문집
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• 제11권1호
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• pp.37-44
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• 2000

The purpose of this research is to examine the evolution of low-cost sales housing and give suggestions for the future housing for the 21st century. This paper investigates the trends of low-cost suburban housing since world War II, as examplified by the Levitt housing in the Northeastern regions of the States. This research analyzes the trends of 14 variables including total floor area. lot size, living room size, kitchen size, mean bedroom size, master bedroom size, number of bedrooms, number of bathrooms, family room, garage, number of story, appliances and features, values, and values per sq ft. Nine entry-level houses were chosen as cases for comparative purpose at different points in time from 1940's to 1990's. This research finds that house sizes have been grown until 1960s, but this trend has reversed with shrinking economy and changing family lifestyles. The trend for smaller housing equipped with several features and convenient equipments will be continued for the next decades to come.

• International Journal of Advanced Culture Technology
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• 제7권4호
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• pp.295-301
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• 2019

Since the third artificial intelligence boom was triggered by deep learning, it has been 10 years. It is time to analyze and discuss the research trends of deep learning for the stable development of AI. In this regard, this study systematically analyzes the trends of research on deep learning over the past 10 years. We collected research literature on deep learning and performed LDA based topic modeling analysis. We analyzed trends by topic over 10 years. We have also identified differences among the major research countries, China, the United States, South Korea, and United Kingdom. The results of this study will provide insights into research direction on deep learning in the future, and provide implications for the stable development strategy of deep learning.

• 한국문헌정보학회지
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• 제13권
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• pp.73-94
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• 1986

The purpose of this article is to take a look into the past twenty years and to evaluate the changes in the organization of the library and the information function during this time period. Academic and special libraries are the ones that have made an impressive progress and innovations to keep pace with a changing environment. New technologies and ideas have brought strong supporters of offering various specialized information services to the library users. The different approaches and experiments to better perform this professional role in the library and in turn, the efforts in the educational institutions to meet the challenges were reviewed through the literature. Much of the literature available regarding the reference and information function deals mainly with the trends in the u. s. libraries. The implications of these trends to Korean libraries and library education are sought in view of our social, economic, and educational circumstances as well as our user behavior.

• 한국연소학회지
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• 제6권1호
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• pp.36-43
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• 2001

The NOx emission characteristics of jet flames fueled with $H_2\;and\;CH_4$ were studied. Experimental and numerical investigations were carried out for various flames with varying equivalence ratio, fuel flow rate and nozzle diameter. The Emission indices of NOx(EINOx) were measured by chemiluminescent method and calculated by numerical model based on detailed chemistry. The results show that EINOx of $CH_4\;and\;H_2$ flames have different trends in terms of equivalence ratio and fuel flow rate but have the same trends in terms of nozzle diameter. These differences can be explained by the following Thermal and Prompt trends in both flames. Thermal EINOx is quite sensitive to the residence time in the high-temperature region weighted by the maximum flame temperature. Prompt EINOx is mainly influenced by flame surface area of each combustion conditions.

• 전자통신동향분석
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• 제34권1호
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• pp.86-97
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• 2019

Over the past 30 years, significant developments have been made in hyperspectral imaging (HSI) technologies that can provide end users with rich spectral, spatial, and temporal information. Owing to the advances in miniaturization, cost reduction, real-time processing, and analytical methods, HSI technologies have a wide range of applications from remote-sensing to healthcare, military, and the environment. In this study, we focus on the latest trends of HSI technologies, analytical methods, and their applications. In particular, improved machine learning techniques, such as deep learning, allows the full use of HSI technologies in classification, clustering, and spectral mixture algorithms. Finally, we describe the status of HSI technology development for skin diagnostics.

• 전자통신동향분석
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• 제36권5호
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• pp.9-20
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• 2021

A technology to replace the traditional blood sampling method for glucose monitoring has been sought for a long time. It is now possible to measure the blood glucose change rate continuously for more than 24 hours using a minimally invasive method that does not involve blood collection. Furthermore, various technology development efforts are being made for innovative diabetes management through intermittent or continuous blood glucose monitoring in a non-invasive manner. In this paper, we present an overview of diabetes and the need for continuous blood glucose measurement techniques., and then introduce various non-invasive blood glucose measurement techniques currently being studied. In addition, through research and analysis of the recent commercialization development status of minimally invasive, non-invasive, and wearable continuous blood glucose measurement technologies, we examine global development trends of future technologies.

• 전자통신동향분석
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• 제37권1호
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• pp.53-62
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• 2022

With increasing size of transformer-based neural networks, a light-weight algorithm and efficient AI accelerator has been developed to train these huge networks in practical design time. In this article, we present a survey of state-of-the-art research on the low-precision computational algorithms especially for floating-point formats and their hardware accelerator. We describe the trends by focusing on the work of two leading research groups-IBM and Seoul National University-which have deep knowledge in both AI algorithm and hardware architecture. For the low-precision algorithm, we summarize two efficient floating-point formats (hybrid FP8 and radix-4 FP4) with accuracy-preserving algorithms for training on the main research stream. Moreover, we describe the AI processor architecture supporting the low-bit mixed precision computing unit including the integer engine.