• 대한원격탐사학회지
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• 제23권2호
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• pp.71-87
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• 2007

본 연구는 NASA/GSFC에서 제공하는 MODIS 구름 산출물 자료를 활용하여 국지적 현상으로 나타난 영동지역의 14개 대설 사례를 분석하였다. MODIS에 의해 특정시간에 관측된 영동지역의 구름은 운정 온도(CTT), 광학 두께(COT), 유효 입자 반경$(r_e)$, 입자상(CP)과 같이 구름 내 속성의 특징에 따라 A, B, C 형으로 분류하였다. 각각의 구름 형태에 대한 강수량과 구름의 속성 사이의 연관성 분석에서 COT는 A와 B형에서 상당히 높은 통계적으로 유의한 관계성을 보였으며, CTT는 A형에서만 높은 상관성을 보였다. 그렇지만, C형에서는 통계적으로 유의한 관계성이 구름의 특성물에 대해 나타나지 않았다. A형 구름은 작은 크기의 물방울과 함께 주로 낮은 층운형 구름으로 구성되어 있으며, 동해에서 종관적으로 유도된 하층 한기 이류 하에서 발생할 수 있다. B형 구름은 발달하는 적운형 구름과 관련되어 있으며, 이러한 구름은 동해상에서 발달하는 저기압 중심과 밀접하게 관련되어 있다. 그렇지만, C형 구름은 다층 구름들로써 영동대설과 직접적으로 관련된 하층 구름을 상층구름이 덮고 있어 위성 관측이 어렵다. 따라서 MODIS 구름 산출물은 영동대설의 경우에 다층 구름을 제외하고 위성 자료로부터 강수량 추정과 대설 기작을 이해하는데 도움이 될 수 있다고 결론지을 수 있다.

• Journal of Communications and Networks
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• 제18권2호
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• pp.135-149
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• 2016

Cloud radio access network (C-RAN) refers to the virtualization of base station functionalities by means of cloud computing. This results in a novel cellular architecture in which low-cost wireless access points, known as radio units or remote radio heads, are centrally managed by a reconfigurable centralized "cloud", or central, unit. C-RAN allows operators to reduce the capital and operating expenses needed to deploy and maintain dense heterogeneous networks. This critical advantage, along with spectral efficiency, statistical multiplexing and load balancing gains, make C-RAN well positioned to be one of the key technologies in the development of 5G systems. In this paper, a succinct overview is presented regarding the state of the art on the research on C-RAN with emphasis on fronthaul compression, baseband processing, medium access control, resource allocation, system-level considerations and standardization efforts.

• 디지털융복합연구
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• 제11권3호
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• pp.59-71
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• 2013

클라우드 서비스(아마존 웹서비스 등)를 활용하여 글로벌 경쟁력을 갖춘 중소업체의 온라인 서비스(예. Zynga, 파프리카랩)가 등장하거나 금융시장 분석서비스가 클라우드를 활용하는 등 클라우드의 활용도가 높아지고 있으나, 국내 중소기업의 클라우드 이용은 아직 낮은 수준에 머물고 있다. 특히, PaaS(플랫폼 클라우드)가 성장하면서 모듈화된 인터넷 도구를 손쉽게 활용하여 비즈니스를 개발하는 행태가 증가할 것으로 전망되는 만큼, 국내기업의 IT부문 경쟁력 제고를 위하여 국내외 도입 성공사례를 연구하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권1호
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• pp.282-304
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• 2014

Each cloud service has numerous owners and tenants, so it is necessary to construct a privacy preserving identity management and access control mechanism for cloud computing. On one hand, cloud service providers (CSP) depend on tenant's identity information to enforce appropriate access control so that cloud resources are only accessed by the authorized tenants who are willing to pay. On the other hand, tenants wish to protect their personalized service access patterns, identity privacy information and accessing newfangled cloud services by on-demand ways within the scope of their permissions. There are many identity authentication and access control schemes to address these challenges to some degree, however, there are still some limitations. In this paper, we propose a new comprehensive approach, called Privacy pReserving Identity and Access Management scheme, referred to as PRIAM, which is able to satisfy all the desirable security requirements in cloud computing. The main contributions of the proposed PRIAM scheme are threefold. First, it leverages blind signature and hash chain to protect tenant's identity privacy and implement secure mutual authentication. Second, it employs the service-level agreements to provide flexible and on-demand access control for both tenants and cloud services. Third, it makes use of the BAN logic to formally verify the correctness of the proposed protocols. As a result, our proposed PRIAM scheme is suitable to cloud computing thanks to its simplicity, correctness, low overhead, and efficiency.

• 대기
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• 제32권4호
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• pp.277-295
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• 2022

The global weather prediction model, Korean Integrated Model (KIM), has been in operation since April 2020 by the Korea Meteorological Administration. This study assessed the performance of heat waves (HWs) in Korea in 2020. Case experiments during 2018-2020 were conducted to support the reliability of assessment, and the factors which affect predictability of the HWs were analyzed. Simulated expansion and retreat of the Tibetan High and North Pacific High during the 2020 HW had a good agreement with the analysis. However, the model showed significant cold biases in the maximum surface temperature. It was found that the temperature bias was highly related to underestimation of downward shortwave radiation at surface, which was linked to cloudiness. KIM tended to overestimate nighttime clouds that delayed the dissipation of cloud in the morning, which affected the shortage of downward solar radiation. The vertical profiles of temperature and moisture showed that cold bias and trapped moisture in the lower atmosphere produce favorable conditions for cloud formation over the Yellow Sea, which affected overestimation of cloud in downwind land. Sensitivity test was performed to reduce model bias, which was done by modulating moisture mixing parameter in the boundary layer scheme. Results indicated that the daytime temperature errors were reduced by increase in surface solar irradiance with enhanced cloud dissipation. This study suggested that not only the synoptic features but also the accuracy of low-level temperature and moisture condition played an important role in predicting the maximum temperature during the HWs in medium-range forecasts.

• 한국대기환경학회지
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• 제27권2호
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• pp.152-167
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• 2011

MODIS/Terra level 3 and NCEP/NCAR Reanalysis data from 2001 to 2008 have been analyzed to understand long-term aerosol and cloud optical properties, and their relationships around Korea. Interestingly, cloud fraction(CF) has the similar annual variation to aerosol optical depth (${\tau}_a$) without any temporal significant trend. Horizontal distributions of ${\tau}_a$ showed the substantial horizontal gradient from China to Korea, especially with the strong difference over the Yellow Sea, which could represent the evidence of the anthropogenic influence from China in the perspective of long-term average. Specifically the negative correlations between ${\tau}_a$ and liquid-phase cloud effective radius ($r_e$) were shown on the monthly-average basis, only in summer with significant associations over the Yellow Sea, but not in the other seasons and/or specific regions. Relationship between ${\tau}_a$ and CF for the low-level liquid-phase clouds exhibited the overall positive correlation, being consistent with cloud lifetime effect. Meanwhile static stability showed no deterministic relationships with ${\tau}_a$ as well as CF. The dependence of aerosol-cloud relationship on the meteorological conditions should be examined more in detail with the satellite remote sensing and reanalysis data.

• Environmental Sciences Bulletin of The Korean Environmental Sciences Society
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• 제1권2호
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• pp.119-124
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• 1997

Cloud streets were successfully simulated by numerical model (RAMS) including an isolated mountain near the coast, large sensible heat flux from the sea surface, uniform stratification and wind velocity with low Froude number (0.25) in the inflow boundary. The well developed cloud streets between a pair of convective rolls are simulated at a level of 1 km over the sea. The following five results were obtained: 1) For the formation of the pair of convective rolls, both strong static instability and a topographically induced mechanical disturbance are strongly required at the same time. 2) Strong sensible heat flux from the sea surface is the main energy source of the pair of convective rolls, and the buoyancy caused by condensation in the cloud is negligibly small. 3) The pair of convective rolls is a complex of two sub-rolls. One is the outer roll, which has a large radius, but weak circulation, and the other is the inner roll, which has a small radius, but strong circulation. The outer roll gathers a large amount of moisture by convergence in the lower marine boundary, and the inner roll transfers the convergent moisture to the upper boundary layer by strong upward motion between them. 4) The pair of inner rolls form the line-shaped cloud streets, and keep them narrow along the center-line of the domain. 5) Both by non-hydrostatic and by hydrostatic assumptions, cloud streets can be simulated. In our case, non-hydrostatic processes enhanced somewhat the formation of cloud streets. The horizontal size of the topography does not seem to be restricted to within the small scale where non-hydrostatic effects are important.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2013년도 춘계학술발표대회
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• pp.478-479
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• 2013

Smart home is one of the emerging domains to come up after advances in home appliances and automation technologies. There are many commercial solutions for smart homes yet many of them have yet to truly exploit the potential of private cloud for low level contextual services and ability to migrate to public cloud for more processing and storage. We propose a private cloud gateway for smart home which will have the ability to sense the new devices, ability to detect context of the situation and act in an appropriate way. It will also record the user logs which will be audited for improvement of the overall system.

• 서비스연구
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• 제5권1호
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• pp.57-70
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• 2015

본 논문에서는 라우터의 라우팅 기능, L7스위치의 컨텐츠 기반 보안, IPS 침입 방지 시스템의 기능과 클라우드, 빅데이터 기술을 혼합한 새로운 형태의 패턴분석 패킷 필터링 방화벽 장비를 저가형 임베디드 장비에서 구현해 SOHO(소규모 창업) 및 소규모 회사 또는 일반 가정의 보안 수준을 개선하고 새로운 시장을 개척하는 것을 목표로 하며, 또한, 고성능 스위치 및 기존 보안장비 기능 대체를 목표로 해 개발하고, 저 사양 장치에서 고성능 시스템을 구현할 수 있는 새로운 차세대 알고리즘을 제시한다.

• 대기
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• 제20권2호
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• pp.131-151
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• 2010

This study establishes a conceptual model to analyze heavy rainfall events in Korea using multi-functional transport satellite-1R satellite images. Three heavy rainfall episodes in two major synoptic types, such as synoptic low (SL) type and synoptic flow convergence (SC) type, are analyzed through a conceptual model procedure which proceeds on two steps: 1) conveyer belt model analysis to detect convective area, and 2) cloud top temperature analysis from black body temperature (TBB) data to distinguish convective cloud from stratiform cloud, and eventually estimate heavy rainfall area and intensity. Major synoptic patterns causing heavy rainfall are Changma, synoptic low approach, upper level low in the SL type, and upper level low, indirect effect of typhoon, convergence of tropical air in the SC type. The relationship between rainfall and TBBs in overall well resolved areas of heavy rainfall. The SC type tended to underestimate the intensity of heavy rainfall, but the analysis with the use of water vapor channel has improved the performance. The conceptual model improved a concrete utilization of images and data of satellite, as summarizing characteristics of major synoptic type causing heavy rainfall and composing an algorism to assess the area and intensity of heavy rainfall. The further assessment with various cases is required for the operational use.