• Journal of the Korean earth science society
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• v.43 no.2
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• pp.239-252
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• 2022

Quality control methods for the first G-band vapor radiometer (GVR) mounted on a weather aircraft in Korea were developed using the GVR Precipitable Water Vapor (PWV). The aircraft attitude information (degree of pitch and roll) was applied to quality control to select the shortest vertical path of the GVR beam. In addition, quality control was applied to remove a GVR PWV ≥20 mm. It was found that the difference between the warm load average power and sky load average power converged to near 0 when the GVR PWV increased to 20 mm or higher. This could be due to the high brightness temperature of the substratus and mesoclouds, which was confirmed by the Communication, Ocean and Meteorological Satellite (COMS) data (cloud type, cloud top height, and cloud amount), cloud combination probe (CCP), and precipitation imaging probe (PIP). The GVR PWV before and after the application of quality control on a cloudy day was quantitatively compared with that of a local data assimilation and prediction system (LDAPS). The Root Mean Square Difference (RMSD) decreased from 2.9 to 1.8 mm and the RMSD with Korea Local Analysis and Precipitation System (KLAPS) decreased from 5.4 to 4.3 mm, showing improved accuracy. In addition, the quality control effectiveness of GVR PWV suggested in this study was verified through comparison with the COMS PWV by using the GVR PWV applied with quality control and the dropsonde PWV.

• Journal of Korean Society of Environmental Engineers
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• v.31 no.9
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• pp.825-830
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• 2009

Pharmaceutical compounds enter the water environment through the diverse pathways. Because their concentration in the water environment was frequently detected in the level of ppt to ppb, the monitoring system should be optimized as much as possible for finding appropriate management policies and technical solutions. One Factor At a Time (OFAT) approach approximating the response with a single variable has been preferred for the optimization of LC-MS/MS operational conditions. However, it is common that variables in analytical instruments are interdependent. Therefore, the best condition could be found by using the statistical optimization method changing multiple variables at a time. In this research, response surface analysis (RSA) was applied to the LC-MS/MS analysis of emerging antibiotic compound, sulfamethoxazole, for the best sensitivity. In the screening test, fragmentation energy and collision voltage were selected as independent variables. They were changed simultaneously for the statistical optimization and a polynomial equation was fit to the data set. The correlation coefficient, $R^2$ valuerepresented 0.9947 and the error between the predicted and observed value showed only 3.41% at the random condition, fragmentation energy of 60 and collision voltage of 17 eV. Therefore, it was concluded that the model derived by RSA successfully predict the response. The optimal conditions identified by the model were fragmentation energy of 116.6 and collision voltage of 10.9 eV. This RSA can be extensively utilized for optimizing conditions of solid-phase extraction and liquid chromatography.

• Journal of Korean Society for Geospatial Information Science
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• v.20 no.2
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• pp.93-100
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• 2012

The interest in 3-dimensional information and its practical use are rapidly increasing and thus some goods with stereoscopic views are being released. Mobile phones, unlike other units, are being closely utilized in everyday life and their applications are undoubtedly limitless. In this study, taking photographs with the stereo-camera of mobile phones has been accomplished and also the possibility of getting the quantitative information has been examined. In addition, this study aims to evaluate the quantitative practical use of mobile phones, evaluating the accuracy of the obtained quantitative information. Thus, interior orientation parameters were decided through the calibration of the lens of two cameras equipped with mobile phones. Using the determined interior orientation parameters, the 3-dimensional coordinates on the targets of the test field were calculated and then compared with precisely observed coordinates. Moreover, the performance of the orientation on the arbitrary building resulted in the standard deviation of $X={\pm}0.0674m$, $Y={\pm}0.25319$, and $Z={\pm}0.4983m$. The result also shows that the plot is possible. As a result, smart phones could be utilized for the acquisition of the quantitative information at close range and small measurement in which the high-accuracy on the basis of centimeters is not required.

• Journal of the Korean earth science society
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• v.22 no.1
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• pp.65-74
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• 2001

To evaluate the influence of meteorological conditions on the performance of DOAS (Differential Optical Absorption Spectroscopy) system, we analyzed the concentrations of three criteria pollutants and relevant environmental parameters measured during 14 month periods between Jun. 1999 and Oct. 2000. According to our study, the performance of DOAS can be sensitively influenced via various manners (such as among different chemicals and/or between different time periods). It turns out that O$_3$ exhibits most frequently the weakest agreement between two systems. When comparison was made among different meteorological parameters, the strongest variability was seen from such ones as windspeed, wind direction, and irradiance. In addition, the absolute differences in measured concentrations between two systems were compared against various environmental parameters by means of linear regression analysis. Results of this analysis indicated that the differences between the two tend to decrease with the increase of such parameters as windspeed. It is thus concluded on the basis of our study that the simultaneous evaluation of meteorological data should be an essential step toward the accurate assessment of pollutant concentration data obtained by DOAS measurement system.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.12 no.1
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• pp.1-13
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• 1994

The terrestrial phetogrammetry has the relative convenience of selecting the site of photo station in contrast with the aerial photogrammetry, and the flexibility in accuracy prediction of object point positioning. So it has the advantage in designing optimum photo taking system which can fulfill the required accuracy. For the convergent photos which are frequently used for the monitoring of cultural assets and ground facilities, almost all of the traditional studies for the optimum photo condition, both in theoretical or experimental, are basically depend on the symmetrical configuration at the normal direction to the center of the object. However, in many cases the surroundings of the object do not allow the normal photo direction or sufficient convergent angle, even more the object features are not always be seen as one panel like planar. In this paper, the accuracy variation of convergent photos for the multi-planar objects, which are composed by some orthogonal planes, are investigated to establish the optimum photo condition. The results of the accuracy analysis for the photo direction, convergent angle, as well as the object feature are expected to be utilized in system design of geometric configuration of convergent photos, which are adequate for the accurate monitoring of the objects, such as culural assets, facilities, precision instruments, deformation surveying, etc.

• Korean Journal of Agricultural and Forest Meteorology
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• v.11 no.4
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• pp.151-161
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• 2009

Configuration of soil hydraulic property is an essential component to understand the hydrological processes at the hillslope scale. In this study, we investigated temporal variations in pore development and soil hydraulic properties during the period from March to October in 2008. Characteristics for macropore flow and hydraulic conductivity were measured at two hillslopes: one is the hillslope located at the Buprunsa in Sulmachun watershed, and the other is the hillslope located in Gwangneung Research Forest. Vertical fluxes through macropore were measured using a tension infiltrometer at the depth of surface. The saturated hydraulic conductivities in March, June, July and September were relatively high compared to those in May and October. Temporal variations in several soil hydraulic features could be explained by the differences in vegetation activity and soil moisture content determined by antecedent precipitation. Particularly, the features of macropores had a substantial impact on hydraulic conductivity in the forest hillslope. The temporal nonuniformity of the soil hydraulic properties observed in this study manifests the dynamic features of hydrological processes in the hillslope scale and the experimental results will be useful to understand the internal hydrological processes in the mountainous hillslope.

• Proceedings of the Korean Society for Information Management Conference
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• 2017.08a
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• pp.103-103
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• 2017

생태학 분야에서는 생물의 분포, 변동, 서식환경요인의 변화, 등의 여러 종류의 데이터들이 수집되고 있는데 데이터의 형태가 다양하여 데이터의 관리와 활용형태도 다양하게 나타나고 있다. 근래에 들어 각 종 측정기기들이 개발되면서 생태조사 분야에서도 데이터의 양이 급증하는 시점에 있다. 수생태계 분야에서도 전통적인 생물상조사의 데이터는 크게 증가하지 않고 있지만 자동측정센서가 개발된 항목의 경우에는 데이터가 급증하는 단계에 있다. 수생태계에서 흔히 조사되는 플랑크톤의 군집구조 자료를 보면 하나의 조사대상 시료에서 출현하는 종의 수가 50 종정도에 이르며 각 개체의 종을 육안으로 확인하고 있으므로 종조성조사는 아직 자동화가 어렵다. 그러므로 플랑크톤 자료의 특성은 조사의 시료수(case)는 적고 측정항목(변수 variable)이 많은 특성을 가진다. 반면에 센서가 개발된 수질과 관련된 항목들은 자동측정설비가 확대되고 있어 변수는 적지만 장기간의 time series 들이 수집되고 있다. 녹조현상이 관심을 끌면서 여러 곳에 식물플랑크톤의 양을 측정하는 chlorophyll 센서가 설치되고 있는 것이 대표적인 사례이다. 그 외에 정량화되지 못하는 정성적 자료들도 수집되고 있으며 자료수집방법의 표준화도 미흡한 예가 많이 있고, 자료의 형태가 다양하여 데이터의 관리와 활용을 어렵게 한다. 환경부는 전국의 주요 하천 지점에서 정기적으로 수질을 측정하여 공개하고 있으며, 일부 지점에는 자동수질측정시설을 설치하여 측정의 빈도를 높이고 있다. 하천이나 호수에서 센서를 이용한 고빈도 모니터링은 그 동안 인지하지 못하였던 단기적 생태계 변화에 대해 새로운 정보를 제공하여 연구의 장르를 넓혀 가고 있다. 도시하천에서 산소를 측정한 사례를 보면 강우 시에 일시적으로 산소가 고갈되는 현상이 관찰되며, 부영양한 호수와 하천에서는 주야간 산소의 급격한 변동이 생태계 스트레스 요인으로 작용하고 있음을 알 수 있었다. 식물플랑크톤 센서의 연구에 의해 단기적인 변동이 크게 나타나고 있음이 새로이 밝혀지기도 하였다. 데이터의 수집과 활용도를 높이려는 노력도 이루어지고 있다. 과거에는 개인단위로 이루어지던 연구가 이제는 데이터를 수집하고 공유하는 플랫폼이 만들어 지면서 공동연구가 확대되고 있고, 국제적으로 지역을 초월하는 공동연구도 가능하게 되었다. 국제호수관측망학회(Global Lake Ecological Observatory Network, GLEON)이 그 사례이며 세계 여러 나라의 학자들이 참여하여 국제적으로 데이터를 공유하고 공동연구를 촉진하는 역할을 하고 있다. 생태계데이터의 증가는 생태학자들의 연구역량을 초과하는 데이터의 관리와 활용의 능력을 요구할 것이며 환경 생태 IT 분야의 융합연구의 필요성이 크게 대두되고 있다. 그간 데이터베이스의 구축에는 일부 성과가 있었으나 아직 수집된 데이터의 활용도를 높이고 타분야와의 협력연구 시너지를 확대하려는 노력은 부족하다. 이제는 데이터의 수집과 저장뿐 아니라 데이터의 활용도를 높일 수 있도록 학제적 협력연구를 촉진하는 off-line 모임도 확대할 때이다.

• Journal of Internet of Things and Convergence
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• v.6 no.4
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• pp.7-14
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• 2020

This study analyzed the effect of the number of deaths of circulatory system diseases according to 12-day short-term exposure of carbon monoxide from January 2010 to December 2018, and predicted the future treatment cost of circulatory system diseases according to increased carbon monoxide concentration. Data were extracted from Air Korea of Korea Environment Corporation and Korea Statistical Office, and analyzed using Poisson regression analysis and ARIMA intervention model. For statistical processing, SPSS Ver. 21.0 program was used. The results of the study are as follows. First, as a result of analyzing the relationship between the impact of short-term carbon monoxide exposure on death of circulatory system diseases from the day to the previous 11 days, it was found that the previous 11 days had the highest impact. Second, with the increase in carbon monoxide concentration, the future circulatory system disease treatment cost was estimated at 10,123 billion won in 2019, higher than the observed value of 9,443 billion won at the end of December 2018. In addition, when summarized by month, it can be seen that the cost of treatment for circulatory diseases increases from January to December, reflecting seasonal fluctuations. Through such research, the future for a healthy life for all citizens can be realized by distributing various devices and equipment utilizing IoT to preemptively respond to the increase in air pollutants such as carbon monoxide.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.296-301
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• 2021

GPR is used for non-destructive investigations, ground investigations, and underground facilities exploration at construction sites. In this study, the applicability to GPR exploration of water pipes linked to Network RTK was presented. Data on the water supply pipes in the study site were acquired using GPR, and the location and depth of buried water pipes could be measured. The accuracy was evaluated from the GNSS observation performance and showed a deviation of -0.16m ~ 0.15m. This satisfied the equipment performance of the public survey work regulation, suggesting that the exploration of water pipes using GPR is possible. Because GPR does not require grounding installation, as in conventional metal pipe detectors, it will increase the efficiency of work for underground facility exploration. Exploration using GPR can acquire the location and depth of metallic and non-metallic underground facilities, so it can be utilized in the construction of a GIS system. If a comparison of the exploration characteristics is carried out, it will be possible to present various uses of underground facility exploration using GPR.

• Journal of the Society of Disaster Information
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• v.18 no.3
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• pp.532-541
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• 2022

Purpose: The purpose of this study is to suggest that the existing power demand prediction method including power demand according to fine dust is included in the existing power consumption by using an air purifier to improve the air quality due to fine dust. Method: The method of the study was compared and analyzed using data on the concentration of fine dust in Seoul for three years, household power consumption, and climate observation, and the effect of fine dust on power consumption in Seoul was identified in April and October. Result: The power consumption of home air purifiers in Seoul due to fine dust differences between April and October was calculated to be 2,141 MWh, accounting for 3.4% of the total difference in the use of home appliances in April and October. Conclusion: The effect of fine dust on household power consumption was verified, and power demand prediction is essential for economic system operation and stable power supply, so power consumption due to fine dust should be considered as well as focusing on power consumption of existing air conditioners and heaters.