• Journal of Radiation Protection and Research
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• v.23 no.2
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• pp.109-114
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• 1998

Radiological safety for the conventional operation of Demonstration-Scale Incineration Plant (DSIP) was assessed on the basis of the results of trial burns using the simulated and real radioactive wastes. Radiation dose assessments for routine releases on an annual basis as well a several severe accidental releases on a short-term basis (2h) revealed that there would be no significant environmental impact when low-level waste Is incinerated in DSIP. For semivolatile radioactive cesium species, expected emission concentrations slightly exceeded 10% of maximum permissible concentration. Removal characteristics of the bag filter for condensed-phase cesium species was investigated by the trial burns of simulated waste with inactive cesium tracer. In the off-gas before passing through bag filter, distributions of condensed cesium species in the transition size ranging between the diffusional and inertial region are less than 5%. The overall collection efficiency of the bag filter for cesium species was higher than 99.9%, showing enough decontamination capability as a primary filter for the low-temperature dry off-gas system in radwaste incineration plant.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2019.10a
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• pp.14-14
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• 2019

참삿갓사초는 전국에 분포하는 여러해살이풀로 사료용, 사방용 소재로 사용되며 조경용, 관상용 지피식물로 사용되기도 한다. 참삿갓사초의 대량증식을 위해 가장 효과적인 파종 시기를 추정하기 위해 생장상을 이용해 인공적인 온도조건을 주고 참삿갓사초 종자의 발아율을 조사하였다. 실험을 위해 온도를 항온조건(30, 25, 20, 15, $5^{\circ}C$)과 변온조건(15/30, 20/10, $25/15^{\circ}C$) 총 8가지 조건으로 설정하여 발아율을 매일 측정하였다. 광조건은 명/암을 매일 12시간씩 반복하였다. 항온조건에서 발아율은 $20^{\circ}C$가 $17{\pm}7%$로 가장 우수하였고, $25^{\circ}C$ ($12{\pm}2.8%$), $30^{\circ}C$ ($3{\pm}1.9%$) 순으로 나타났으며, $15^{\circ}C$, $5^{\circ}C$에서는 발아하지 않았다. 그러나 $20^{\circ}C$와 $25^{\circ}C$조건에서 통계적인 유의차는 발생되지 않았다. 한편, 변온조건에서의 발아율은 $15/30^{\circ}C$가 $91{\pm}3.8%$로 가장 우수하였고, $25/15^{\circ}C$ ($89{\pm}4.1%$), $20/10^{\circ}C$ ($69{\pm}3.4%$) 순으로 나타났다. 그러나 $15/30^{\circ}C$와 $25/15^{\circ}C$조건에서 통계적인 유의차는 발생되지 않았다. 따라서 참삿갓사초의 종자발아를 위해서는 변온이 필요하며, $25^{\circ}C$ 이상의 온도가 필요하다. 이러한 결과를 바탕으로 가장 효과적인 파종 시기를 추정할 때, 낮-밤 $10^{\circ}C$ 이상의 기온차가 있는 초여름~늦여름 사이가 가장 적절할 것으로 판단된다.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2019.10a
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• pp.17-17
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• 2019

진퍼리사초는 한반도 중부 이북에 분포하고, 군락 자생지는 강원도 동해안 석호 주변 모래땅 1곳인 것으로 보고되고 있다. 따라서 본 연구는 진퍼리사초 현지외보전을 위한 대량증식 연구의 일환으로 가장 효과적인 파종 시기를 구명하고자 수행하였다. 종자의 최적 발아조건을 찾기 위해 배양상 온도조건을 항온(30, 25, 20, 15, $5^{\circ}C$)과 변온(15/30, 20/10, $25/15^{\circ}C$) 총 8가지 조건으로 설정하여 발아율을 매일 측정하였다. 광조건은 명/암을 매일 12시간씩 반복하였으며 모든 실험은 국립백두대간수목원 발아실험실의 생장상에서 진행하였다. 실험결과, 항온조건에서 발아율은 $30^{\circ}C$에서 $39{\pm}7.5%$로 가장 높게 나타났고, $20^{\circ}C$ ($28{\pm}4.3%$), $25^{\circ}C$ ($24{\pm}3.7%$) 순으로 나타났으며, $15^{\circ}C$, $5^{\circ}C$에서는 발아하지 않았다. 한편, 변온조건에서의 발아율은 $25/15^{\circ}C$에서 $60{\pm}5.9%$로 가장 높게 나타났고, $15/30^{\circ}C$ ($43{\pm}4.1%$), $20/10^{\circ}C$ ($26{\pm}3.8%$) 순으로 나타났다. 따라서 진퍼리사초의 종자 발아는 항온보다 변온에서 잘 이루어졌으며, $25^{\circ}C$이상의 온도가 효과적인 것으로 나타났다. 이러한 결과를 바탕으로 가장 효과적인 파종 시기를 추정할 때, 낮 기온이 평균 $25^{\circ}C$이상이며, 일교차가 $10^{\circ}C$ 정도인 초여름이 가장 적절할 것으로 여겨진다.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.359-359
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• 2018

이상치는 표본자료에서 크게 어긋나 다른 자료들로부터 떨어져 표시되는 자료로써, 실제로 발생할 확률이 매우 낮은 자료로 정의되고 있다. 설계홍수량을 산정하기 위하여 적용하고 있는 극치계열의 연최대치 강우자료에는 기계오작동 및 엔지니어의 표독오류가 발생하고 있으며, 기후변화에 따른 거대태풍 및 국지적인 집중호우 발생 등으로 인한 극치값 등에서 이상치가 관측되고 있다. 통상 이상치들은 통계분석시 자료 본연의 특성을 왜곡시켜 편향된 결과를 산정할 수 있으므로 빈도해석시 이상치해석 절차를 수행하여 자료의 적정성을 확인하여야 한다. 현재 실무에서는 설계홍수량 산정요령과 하천설계기준 해설 등에서 관련 내용을 기술하고 있지만, 국내 강우자료의 기록연수의 부족으로 인하여 빈도해석시 이상치 해석이 미수행되고 있어 이상치에 따른 자료편의가 발생하면 결과물인 확률강우량이 왜곡되게 산정될 수 있다. 따라서, 본 연구에서는 국내 주요 도시의 강우자료를 이용하여 이상치검정을 수행하였다. 대상지점으로는 서울, 부산, 대전, 대구, 인천, 광주, 울산 등의 비교적 긴 관측년수를 보유하고 있는 광역시를 선정하였으며, 지속기간은 10분, 1~24시간의 25개 강우자료를 적용하였다. 이상치검정 방법으로는 타 방법에 비하여 이상치 검정력이 뛰어난 것으로 알려진 2가지 방법을 채택하였으며, 표본자료의 평균과 표준편차로 표준화된 z값을 이용하여 상 하 한계선를 초과하는 값을 확인하는 z-Score 방법중 향상된 중위수 절대편차(MAD)에 의한 수정 z-Score 방법(Hoaglin, 1993)과 Box-Plot 방법(Tukey, 1969)을 적용하였다. Box-Plot 방법(Tukey, 1969)은 전체 자료를 25%씩 사분위로 구분하는 방법으로 정렬된 자료계열을 중앙값, 박스, 수염(whiskers), 이상치로 구분한다. 정렬된 25~75% 값들을 박스로 포함하여 외곽의 수염값들을 이상치로 분류하며, 특히 사분위수의 도식화로 데이터의 분포를 파악하기 좋으며, 이상치들의 위치와 자료의 비대칭 여부를 쉽게 파악할 수 있다. 본 연구의 수행으로 수정 z-Score 방법의 경우에는 서울과 대구지점에는 이상치가 없으며, 부산지점에는 13개, 대전지점 7개, 인천지점 5개, 광주지점 32개, 울산지점 26개가 나타났다. Box-Plot 방법으로는 서울지점 35개, 부산지점 39개, 대전지점 32개, 대구지점 38개, 인천지점 51개, 광주지점 61개, 울산지점 65개의 이상치가 분석되었다. 연구를 수행한 결과, 수정 z-Score 방법에 비하여 Box-Plot 방법에 의한 이상치가 더 많이 발생하였으며, 각각의 방법으로 지속기간 및 연도별 이상치 발생자료를 확인하였다. 방법별 이상치 발생현황 등을 분석하여 지점별 발생횟수를 분석하였으며, 추후 지점 및 자료의 보완이 수행되면 활용성을 증대시킬 수 있을 것으로 판단된다.

• Korean Journal of Remote Sensing
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• v.37 no.2
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• pp.177-198
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• 2021

Existing change detection researches have been focused on changes of land use and land cover (LULC), damaged areas, or large vegetated and water regions. On the other hands, increased temporal and spatial resolution of satellite images are strongly suggesting the feasibility of change detection of small objects such as vehicles and ships. In order to check the feasibility, this paper analyzes the performance of existing pixel-based change detection methods over small objects. We applied pixel differencing, PCA (principal component analysis) analysis, MAD (Multivariate Alteration Detection), and IR-MAD (Iteratively Reweighted-MAD) to Kompsat-3A and Google Map images taken within 10 days. We extracted ground references for changed and non-changed small objects from the images and used them for performance analysis of change detection results. Our analysis showed that MAD and IR-MAD, that are known to perform best over LULC and large areal changes, offered best performance over small object changes among the methods tested. It also showed that the spectral band with high reflectivity of the object of interest needs to be included for change analysis.

• Korean Journal of Agricultural and Forest Meteorology
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• v.20 no.4
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• pp.337-347
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• 2018

Weather causes much of the risk of agricultural activity. For efficient farming, we need to use weather information. Modern agriculture has been developed to create high added value through convergence with state-of-the-art Information and Communication Technology (ICT). This study deals with the quality control algorithms of weather monitoring equipment through Ubiquitous Sensor Network (USN) observational equipment for efficient cultivation of cabbage. Accurate weather observations are important. To achieve this goal, the Korea Meteorological Administration, for example, developed various quality control algorithms to determine regularity of the observation. The research data of this study were obtained from five USN stations, which were installed in Anbandegi and Gwinemi from 2015 to 2017. Quality control algorithms were developed for flat line check, temporal outliers check, time series consistency check and spatial outliers check. Finally, the quality control algorithms proposed in this study can also identify potential abnormal observations taking into account the temporal and spatial characteristics of weather data. It is expected to be useful for efficient management of highland cabbage production by providing quality-controlled weather data.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.6
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• pp.859-865
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• 2018

A construction of infrastructures and base station on the moon could be undertaken by linking with the regions where construction materials and energy could be supplied on site. It is necessary to detect craters on the lunar surface and gather their topological information in advance, which forms permanent shaded regions (PSR) in which rich ice deposits might be available. In this study, an effective method for automatic detection of lunar craters on the moon surface is taken into consideration by employing a latest version of deep-learning algorithm. A training of a deep-learning algorithm is performed by involving the still images of 90000 taken from the LRO orbiter on operation by NASA and the label data involving position and size of partly craters shown in each image. the Faster RCNN algorithm, which is a latest version of deep-learning algorithms, is applied for a deep-learning training. The trained deep-learning code was used for automatic detection of craters which had not been trained. As results, it is shown that a lot of erroneous information for crater's positions and sizes labelled by NASA has been automatically revised and many other craters not labelled has been detected. Therefore, it could be possible to automatically produce regional maps of crater density and topological information on the moon which could be changed through time and should be highly valuable in engineering consideration for lunar construction.

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.7
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• pp.885-892
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• 2017

We estimated the limiting nutrient and DIP limiting history based on alkaline phosphatase (APase) activity during the spring of 2017 in the Southern Sea, Korea. In the frontal area, concentration of dissolved inorganic phosphorus (DIP), dissolved inorganic nitrogen (DIN): DIP ratio and Chlorophyll a (Chl-a) were < $0.2{\mu}M$, 23.2 and $2.2{\mu}g/L$, respectively, indicating high productivity despite DIP limiting. The relationship between APase and DIP indicates that the study area had limited DIP because of a strongly reverse correlation (r= -0.81; P<0.001). Relationship between APase and Chl-a (r=0.61, p<0.001) also indicated that APase may have been induced by phytoplankton (ca. 60 %) and bacteria (ca. 40 %). In DIP limiting history in this study area, frontal area and non-frontal areas might have induced long-term DIP limitation and the recent relief from DIP-limitation, respectively, based on distributions of dissolved APase and particulate APase. Thus, these results suggest that by measuring the enzyme that hydrolyzes organic matter such as APase in frontal area, it is possible to estimate temporal and spatial characteristics of limiting nutrient, thereby improving our understanding of biogeochemistry cycles.

• Clean Technology
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• v.25 no.3
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• pp.198-205
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• 2019

The adsorption equilibrium, kinetic, and thermodynamic parameters of brilliant green adsorbed by coconut based granular activated carbon were determined from various initial concentrations ($300{\sim}500mg\;L^{-1}$), contact time (1 ~ 12 h), and adsorption temperature (303 ~ 323 K) through batch experiments. The equilibrium adsorption data were analyzed by Langmuir, Freundlich, Temkin, Harkins-Jura, and Elovich isotherm models. The estimated Langmuir dimensionless separation factor ($R_L=0.018{\sim}0.040$) and Freundlich constant ($n^{-1}=0.176{\sim}0.206$) show that adsorption of brilliant green by activated carbon is an effective treatment process. Adsorption heat constants ($B=12.43{\sim}17.15J\;mol^{-1}$) estimated by the Temkin equation corresponded to physical adsorption. The isothermal parameter ($A_{HJ}$) by the Harkins-Jura equation showed that the heterogeneous pore distribution increased with increasing temperature. The maximum adsorption capacity by the Elovich equation was found to be much smaller than the experimental value. The adsorption process was best described by the pseudo second order model, and intraparticle diffusion was a rate limiting step in the adsorption process. The intraparticle diffusion rate constant increased because the dye activity increased with increases in the initial concentration. Also, as the initial concentration increased, the influence of the boundary layer also increased. Negative Gibbs free energy ($-10.3{\sim}-11.4kJ\;mol^{-1}$), positive enthalpy change ($18.63kJ\;mol^{-1}$), and activation energy ($26.28kJ\;mol^{-1}$) indicate respectively that the adsorption process is spontaneous, endothermic, and physical adsorption.

• Journal of the Korean Geosynthetics Society
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• v.18 no.3
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• pp.45-53
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• 2019

In this study, it was analyzed the cases of bored PHC piles designed for the building foundations. The overall length of the piles varies within a maximum of 35 m. However, the average length was 17.0 to 18.9 m depending on the kind of the bedrock, with no significant difference. The socket length entered into the bedrock was designed with approximately 58% of the whole piles being 1m, the minimum length of the specification, and up to 5m. Although the range in design efficiency was very large, on average it was about 70%, consistent with the usual known extent. Applications with low design efficiency were mainly shown on the foundation of low-rise buildings or rides with low design load. On the weathered rock, the design load, which governs the design result was widely distributed at 65 to 97% of allowable bearing capacity of ground. The ratio of allowable axial load of piles to allowable bearing capacity of ground is also widely distributed between 36 and 115%, so optimization efforts are required along with design efficiency. On the other hand, the allowable bearing capacity on the soft or hard rock was highly equal, mostly within 90% of the allowable axial load of piles. In the design, the end bearing resistance averaged over 75% of the allowable bearing capacity. However, the results of the dynamic pile load test show that the end bearing resistance was predominant under the E.O.I.D conditions, and in some cases, the end bearing resistance was at least 25% under the restrike conditions.