• 대기
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• 제17권1호
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• pp.101-108
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• 2007

To observe and analyze the cloud and fog characteristics, the METeorological Research Institute (METRI) has established the Cloud Physics Observation System (CPOS) by implementing the cloud observation instruments: Forward Scattering Spectrometer Probe (FSSP), PARticle SIze and VELocity (PARSIVEL), Microwave Radiometer (MWR), Micro Rain Radar (MRR), and 3D-AWS at the Daegwallyeong Enhanced Mountain Weather Observation Center. The cloud-related products of CPOS and the validation status for the size distribution of FSSP, the precipitable water of MWR, and the rainfall rate of MRR and PARSIVEL are described.

• Asia pacific journal of information systems
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• 제24권1호
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• pp.93-112
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• 2014

As personal data breach reared up as a problem domestically and globally, organizations appointing chief privacy officers (CPOs) are increasing. Related Korean laws, 'Personal Data Protection Act' and 'the Act on Promotion of Information and Communication Network Utilization and Information Protection, etc.' require personal data processing organizations to appoint CPOs. Research on the characteristics and role of CPO is called for because of the importance of CPO being emphasized. There are many researches on top management's role and their impact on organizational performance using the Upper Echelon theory. This study investigates what influence the characteristics of CPO gives on the organizational privacy performance. CPO's definition varies depending on industry, organization size, required responsibility and power. This study defines CPO as 'a person who takes responsibility for all the duties on handling the organization's privacy,' This research assumes that CPO characteristics such as role, personality and background knowledge have an influence on the organizational privacy performance. This study applies the part relevant to the upper echelon's characteristics and performance of the executives (CEOs, CIOs etc.) for CPO. First, following Mintzberg and other managerial role classification, information, strategic, and diplomacy roles are defined as the role of CPO. Second, the "Big Five" taxonomy on individual's personality was suggested in 1990. Among these five personalities, extraversion and conscientiousness are drawn as the personality characteristics of CPO. Third, advance study suggests complex knowledge of technology, law and business is necessary for CPO. Technical, legal, and business background knowledge are drawn as the background knowledge of CPO. To test this model empirically, 120 samples of data collected from CPOs of domestic organizations are used. Factor analysis is carried out and convergent validity and discriminant validity were verified using SPSS and Smart PLS, and the causal relationships between the CPO's role, personality, background knowledge and the organizational privacy performance are analyzed as well. The result of the analysis shows that CPO's diplomacy role and strategic role have significant impacts on organizational privacy performance. This reveals that CPO's active communication with other organizations is needed. Differentiated privacy policy or strategy of organizations is also important. Legal background knowledge and technical background knowledge were also found to be significant determinants to organizational privacy performance. In addition, CPOs conscientiousness has a positive impact on organizational privacy performance. The practical implication of this study is as follows: First, the research can be a yardstick for judgment when companies select CPOs and vest authority in them. Second, not only companies but also CPOs can judge what ability they should concentrate on for development of their career relevant to their job through results of this research. Cultural social value, citizen's consensus on the right to privacy, expected CPO's role will change in process of time. In future study, long-term time-series analysis based research can reveal these changes and can also offer practical implications for government and private organization's policy making on information privacy.

• 대한원격탐사학회지
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• 제26권2호
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• pp.65-73
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• 2010

구름과 강수특성을 분석하기 위해 대관령에 구름물리관측시스템(Cloud physics Observation System, 이하 CPOS)을 2003년부터 운영해 오고 있다. 주요 관측 기기는 다음과 같다: FSSP (Forward Scattering Spectrometer Probe), OPC (Optical Particle Counter), VS (Visibility Sensor), PARSIVEL disdrometer, MWR (Microwave Radiometer), MRR (Micro Rain Radar). 앞의 4개 장비는 지상구름 (안개)과 강수 특성을, 뒤의 2개 장비는 연직구름의 특성을 실시간으로 관측하고 있다. CPOS 산출물을 검증하기 위해 FSSP는 흡습성 물질 시딩 실험 중 OPC와, MWR의 가강수량은 라디오존데와, PARSIVEL과 MRR은 우량계와 비교 연구가 수행되었다. 그 결과를 보면 대부분이 0.7이상의 좋은 상관도를 보인다. 이와 같이 신뢰도를 확보한 CPOS 관측 자료는 구름과 에어로솔의 간접효과나 기상조절 실험에 유용한 자료로 활용될 수 있을 것이다. FSSP의 입자 크기 분포를 시정값으로 환산해 보았으며 FSSP 환산 시정값은 visibility sensors (SVS)와 PWD22 (Present Weather Detect 22)의 시정계 값에 비해 1.7~1.9배 과도한 경향을 보였다. 이는 FSSP에 의해 관측되는 입자 크기($2{\sim}47\;{\mu}m$)의 한계 때문으로 사료된다. 향후 다른 입자크기분포를 측정할 수 있는 장비를 도입하여 추가 분석을 추진할 계획이다.

• Geosciences Journal
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• 제22권6호
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• pp.939-953
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• 2018

We examined the microfabrics of omphacite and garnet in foliated eclogite to determine the influence of the layered structure on seismic observations in subduction zone. The analyzed eclogite, from the Lanterman Range, northern Victoria Land, Antarctica, is characterized by layering in which the modal abundances of garnet and omphacite vary. For garnet, the low aspect ratios, similar angular distribution of long axes relative to the foliation in both layers, uniform grain size distribution, near-random crystallographic preferred orientations (CPOs), and misorientation angle distributions are indicative of passive behavior during deformation. In contrast, omphacite shows relatively high aspect ratios, a low angle between the long axes of crystals and the foliation, a wide grain-size distribution, and distinctive CPOs, suggesting dislocation creep as the main deformation mechanism. The results of fabric analyses are consistent with strain localization into omphacite or omphacite-rich layers rather than garnet or garnet-rich layers. The single-crystal seismic anisotropy of garnet is very weak ($AV_P=0.2%$, $AV_S=0.5-0.6%$), whereas that of omphacite is much stronger ($AV_P=3.7-5.9%$ and $AV_S=2.9-3.8%$). Seismic anisotropy of the omphacite-rich layers shows an increase of 329% for $AV_P$ and 146% for $AV_S$ relative to the garnet-rich layers. Our results demonstrate the importance of the layered structure in strain localization and in the development of the seismic anisotropies of subducting oceanic crust.

• 대한원격탐사학회지
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• 제29권3호
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• pp.293-306
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• 2013

Hydrometeor type and Drop Size Distribution (DSD) in cloud are the fundamental properties that may help explain the rain formation processes and determine the parameters of radar meteorology. This study presents a preliminary analysis of hydrometeor types and DSD data of cloud measured with a PARSIVEL (PARticle SIze and VELocity) optical disdrometer at the site of Cloud Physics Observation System (CPOS, $37^{\circ}41^{\prime}N$, $128^{\circ}45^{\prime}E$, 843 m from sea level) in Daegwallyeong mountainside of Korea. The method has been validated by comparing the observed rainfall rates with the computed ones from the fitted distribution, using the physical data such as DSD, terminal velocity, and rain intensity which were measured by a Micro-Rain Radar (MRR) and a PARSIVEL optical disdrometer. The analysis period started in three cases: on rainy days with light rain (15.5 mm), moderate rain (76 mm), and heavy rain (121 mm), from March to November 2007, respectively.

• 대기
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• 제29권3호
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• pp.269-282
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• 2019

While it is important to obtain the accurate information on snowfall data due to the increase in damage caused by the heavy snowfall in the winter season, it is not easy to observe the snowfall quantitatively. Recently, snow measurements using a weighing precipitation gauge have been carried out, but there is a problem that high snowfall intensity results in low accuracy. Also, the observed snowfall data are sensitive depending on wind speed, temperature, and humidity. In this study, a new process of quality control for snow water equivalent (SWE) data of the weighing precipitation gauge were proposed to cover the low accuracy of snow data and maximize the data utilization. Snowfall data (SWE) observed by Pluvio, Parsivel, snow-depth meter using laser or ultrasonic, and rainfall gauge in Cloud Physics Observation Site (CPOS) were compared and analyzed. Applying the QC algorithm including the use of number of hydrometeor particles as reference, the increased SWE per the unit time was determined and the data noise was removed and marked by flag. The SWE data converted by the number concentration of hydrometeor particles are tested as a method to restore the QC-removed data, and show good agreement with those of the weighing precipitation gauge, though requiring more case studies. The three events data for heavy snowfall disaster in Pyeongchang area was analyzed. The SWE data with improved quality was showed a good correlation with the eye-measured data ($R^2$ > 0.73).

• 대기
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• 제20권1호
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• pp.37-47
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• 2010

The methods measuring the precipitation drop size distribution(hereafter referred to as DSD) at Cloud Physics Observation System (CPOS) in Daegwallyeong are to use PARSIVEL (PARticle SIze and VELocity) disdrometer (hereafter referred to as PARSIVEL) and Micro Rain Radar (hereafter referred to as MRR). First of all, PARSIVEL and MRR give good correlation coefficients between their rain rates and those of rain gage: $R^2=0.93$ and 0.91, respectively. For the DSD, the rain rates are classified in 3 categories (Category 1: rr (Rain Rate) ${\leq}0.5\;mm\;h^{-1}$, Category 2: $0.5\;mm\;h^-1$ < rr < $4.0\;mm\;h^{-1}$, Category 3: rr ${\geq}4\;mm\;h^{-1}$). The shapes of PARSIVEL and MRR DSD are relatively most similar in category 2. In addition, we retrieve the vertical rain rate and liquid water content from MRR under melting layer, calculated by Cha et al's method, in Daegwallyeong ($37^{\circ}41{\prime}N$, $128^{\circ}45^{\prime}E$, 843 m ASL, mountain area) and Haenam ($34^{\circ}33^{\prime}N$, $126^{\circ}34^{\prime}E$, 4.6 m ASL, coast area). The vertical variations of rain rate and liquid water content in Daegwallyeong are smaller than those in Haenam. We think that this different vertical rain rate characteristic for both sites is due to the vertical different cloud type (convective and stratiform cloud seem dominant at Haenam and Daegwallyeong, respectively). This suggests that the statistical precipitation DSD model, for the application of weather radar and numerical simulation of precipitation processes, be considered differently for the region, which will be performed in near future.

• 시큐리티연구
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• 제55호
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• pp.117-141
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• 2018

경찰청이 발간하는 범죄통계에 따르면 주거시설은 노상에 이어 범죄발생이 두 번째로 많은 장소이다. 또한 1인 가구 증가 등 사회적, 환경적 취약점으로 인해 생활의 기본요소이면서 동시에 안전함과 편안함이 핵심이어야 할 주거공간이 침입절도 등 범죄에 빈번하게 노출되고 위협에 시달리고 있다. 그리하여 본 연구에서는 주거시설 중 상대적으로 취약한 원룸, 다세대, 연립, 도시형생활주택에 대하여 환경설계를 통한 범죄예방(CPTED) 관점에서 안전을 평가하고 인증하는데 적합한 요소 및 항목을 추출하여 인증평가 지표와 점검항목을 도출하였다. 도출된 평가지표와 점검항목을 기반으로 서울 서초구, 경기 용인시, 충남 아산시에 소재한 원룸, 다세대, 연립, 도시형생활주택을 대상으로 현장조사를 실시하고 조사결과를 반영한 체크리스트 최종안을 도출하였다. 체크리스트 최종안에 포함된 평가분야는 총 7개 분야 43개 항목이며, 다양한 가점항목을 추가하여 관리자가 취한 특별한 안전조치에 대하여 점수를 획득할 수 있도록 설정하였다. 개발된 체크리스트는 다양한 규모와 유형의 주거시설을 평가할 때 시설별 특성을 고려하여 적절하게 변형하여 활용될 수 있다. 인증평가의 기본원칙과 관련하여, 범죄예방을 위해 중요한 항목들의 배점은 높게 부여하였고, 정성평가를 통해 차등 배점을 부여하는 방식을 선택하였다. 본 연구에서 개발한 체크리스트는 범죄예방전담경찰관(CPO)들이 관할지역 내 주거시설을 평가하고 범죄안전 수준이 높은 우수시설을 인증하는데 활용되고 있다.