• Journal of the Ergonomics Society of Korea
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• v.28 no.4
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• pp.161-166
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• 2009

Although the entrance of house has been identified as a hotspot for older adults' fall accidents, there was not any lift chair to prevent older adults' accidents. In this study, a lift chair was developed to reduce fall accidents that can occur when older adults put on or take off their shoes in the entrance. In order to develop the product, we considered two aspects. Firstly, we considered older adults' anthropometric data to determine the design specification of the product. Also we considered the environmental characteristics of space using the product. In order to overcome the limited spatial freedom and use the entrance space effectively, we took a simplified and folding type for the product.

• Electronics and Telecommunications Trends
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• v.31 no.5
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• pp.31-40
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• 2016

최근 전 세계적으로 5G 이동통신 표준화 및 연구개발이 시작되었다. 기존의 4세대까지의 이동통신은 주로 가정, 사무실 등 보행자 중심의 Nomadic 환경에 최적화된 형태이고 120km/h 이상의 고속환경에서는 통신접속이 끊어지지 않는 정도의 서비스에 한정되었다. 최근에는 스마트폰 중심의 모바일 데이터 서비스 사용량이 매년 가파른 증가세를 보이며 보행자 중심의 저속환경뿐만 아니라 지하철, 고속철 등 그룹이동체 내에서의 서비스도 점차 중요해지고 있다. 이동 중인 차량 내에서 일반 사용자들은 차량외부의 이동통신망을 통해 직접 서비스를 받을 수도 있고 이동무선백홀과 결합된 WLAN 혹은 펨토셀과 같은 차량내 이동 핫스팟 네트워크(MHN)형태로 서비스를 받을 수 있다. 최근 5G 이동통신에서는 고속환경(최대 500km/hr)에서도 최적의 서비스 품질을 유지하도록 요구하고 있다. 본 논문에서는 그룹이동체 내의 이동소형셀의 지원을 위한 이동무선백홀 기술의 동향을 분석하고 향후 수 Gbps급 이상의 데이터 전송속도를 지원할 수 있는 밀리미터파 기반의 MHN 이동무선백홀 기술을 소개한다.

• Journal of Information Technology Applications and Management
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• v.18 no.1
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• pp.41-53
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• 2011

The rapid development and widespread application of Internet has provided a platform for people to participate and discuss social hotspot events. In the meantime, social events may be spread throughout the Internet more quickly and widely than they did ever before, and possibly lead to serious social problems due to opinion violence or seditious rumour. This paper analyzed the Internet spread of social events, and presented a five-stage model to describe the evolution process of that spread. Furthermore, the improved IBF algorithm was applied to extract a pruned connected graph aiming to find the key nodes and the shortest spread path for the control of that spread. After analyzing the different factors that may cause the netizens' attention, this paper concluded BBS type, the visit quantity and the opinion leader are key factors which affect the Internet spread. Based on those researches, a life-cycle emergency management methodology and the related strategies were proposed for the achievement of healthy spreading environment on Internet.

• The Bulletin of The Korean Astronomical Society
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• v.36 no.1
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• pp.43.2-43.2
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• 2011

목성 극지방의 분광 관측 자료에는 $H_3+$, $H_2$, 탄화수소 분자들($CH_4,C_2H_2,C_2H_6$)이 방출선의 형태로 나타난다. 이 분자선들은 2 ~ 3 mm에서는 대부분 관측이 이루어졌지만, 7.8 mm 파장대에서는 탄화수소 분자들 중에서 $CH_4$가 hotspot 형태로 관측이 되었다. 본 연구에서는 마우나케아 천문대의 NASA IRTF (InfraRed Telescope Facility) 망원경 중에 중적외선 고분산 분광기 TEXES (Texas Echelon Cross Echelle Spectrograph)를 설치하여 $CH_4$와 함께 처음 발견된 $C_2H_2$의 특성을 분석하였다. 텍사스 주립대학에서 개발한 TEXES는 5 ~ 25 mm의 관측 파장대에서 저분산(R~3,000), 중 분산(R~15,000), 고분산(R~100,000)으로 관측할 수 있다 (Lacy et al., 2002). 본 연구에 사용된 자료는 2009년 5월 29일에 관측되었으며, 파장대는 7.8 mm 이다.

• Journal of Information Processing Systems
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• v.13 no.6
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• pp.1585-1601
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• 2017

With the rapid development of computer technologies, a number of image modification methods have emerged, which have great impacts on the security of image information. Therefore, it is necessary to protect the integrity and authenticity of digital images, and digital watermarking technique consequently becomes a research hotspot. An effort is made to survey and analyze advancements of image watermarking algorithms based on singular value decomposition (SVD) in recent years. In the first part, an overview of watermarking techniques is presented and then mathematical theory of SVD is given. Besides, SVD watermarking model, features, and evaluation indexes are demonstrated. Various SVD-based watermarking algorithms, as well as hybrid watermarking algorithms based on SVD and other transforms for copyright protection, tamper detection, location, and recovery are reviewed in the last part.

• Structural Monitoring and Maintenance
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• v.5 no.4
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• pp.429-443
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• 2018

Fatigue is a principal failure mode for steel structures, and it is still less understood than any other modes of failure. Fatigue life estimation of metal bridges is a major issue for making cost effective decisions on the rehabilitation or replacement of existing infrastructure. The fatigue design procedures given by the standard codes are either empirical or based on nominal stress approach. Since the fatigue life estimation through field measurements is difficult and costly, more researches are needed to develop promising techniques in the fatigue analysis of bridges through Finite Element Analysis (FEA). This paper aims to develop a methodology for the Fatigue life estimation of railway steel bridge using FEA. The guidelines of IIW-1823-07 were used in the development of the methodology. The Finite Element (FE) package ANSYS and the programming software MATLAB were used to implement this methodology on an Indian Railway Standard (IRS) welded plate girder bridge. The results obtained were compared with results from published literature and found satisfactory.

• Journal of Information Processing Systems
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• v.18 no.1
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• pp.146-158
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• 2022

With the success of the digital economy and the rapid development of its technology, network security has received increasing attention. Intrusion detection technology has always been a focus and hotspot of research. A hybrid model that combines particle swarm optimization (PSO) and kernel extreme learning machine (KELM) is presented in this work. Continuous-valued PSO and binary PSO (BPSO) are adopted together to determine the parameter combination and the feature subset. A fitness function based on the detection rate and the number of selected features is proposed. The results show that the method can simultaneously determine the parameter values and select features. Furthermore, competitive or better accuracy can be obtained using approximately one quarter of the raw input features. Experiments proved that our method is slightly better than the genetic algorithm-based KELM model.

• ETRI Journal
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• v.44 no.4
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• pp.624-640
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• 2022

Taxi-demand forecasting and hotspot prediction can be critical in reducing response times and designing a cost effective online taxi-booking model. Taxi demand in a region can be predicted by considering the past demand accumulated in that region over a span of time. However, other covariates-like neighborhood influence, sociodemographic parameters, and point-of-interest data-may also influence the spatiotemporal variation of demand. To study the effects of these covariates, in this paper, we propose three models that consider different covariates in order to select a set of independent variables. These models predict taxi demand in spatial units for a given temporal resolution using linear and ensemble regression. We eventually combine the characteristics (covariates) of each of these models to propose a robust forecasting framework which we call the combined covariates model (CCM). Experimental results show that the CCM performs better than the other models proposed in this paper.

• Journal of Information Processing Systems
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• v.18 no.1
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• pp.48-58
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• 2022

Blind restoration for motion-blurred images is always the research hotspot, and the key for the blind restoration is the accurate blur kernel (BK) estimation. Therefore, to achieve high-quality blind image restoration, this thesis presents a novel windowed-total-variation method. The proposed method is based on the spatial scale of edges but not amplitude, and the proposed method thus can extract useful image edges for accurate BK estimation, and then recover high-quality clear images. A large number of experiments prove the superiority.

• Journal of the Korean Chemical Society
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• v.66 no.4
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• pp.269-277
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• 2022

In recent years, carbon-based catalysts have become a research hotspot in environmental governance applications. Carbon-based catalysts have large surface areas, porous structures, multi-surface functional groups and excellent electron transfer capabilities, and can synergistically exhibit adsorption and catalytic performance. This article reviews the research progress of carbon-based catalysts in environmental governance, mainly including its application in wastewater treatment, exhaust gas purification and soil remediation. In view of the current difficulties in the research of carbon-based catalysts, the development prospects are proposed. We hope that this review will provide convenience for new entrants and researchers intending to employ carbon-based catalysts for the remediation of contaminated environment.