• Nuclear Engineering and Technology
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• 제26권2호
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• pp.294-299
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• 1994

운전중인 Westinghouse형 원자력 발전소에 디지탈 감시계통을 설치하였을 시의 정량적인 여유도 잇점을 계산하였다. 적용된 발전소는 영광 원자력 1호기 6주기이며 참조한 디지탈 감치계통은 ABB-CE 사의 COLSS이다. 고려된 핵연료 설계제한 한계는 DNBR과 LUCA Fq이다. 평가를 위해 기존 CAOC 한계내에서 200가지의 3-D 출력 분포를 계산하였다. 영광 1호기 6주기의 DNB 관련 가장 제한적인 사고인 CEA 인출사고를 해석하였다. 평가결과 DMS를 설치하면 DNB와 LOCA Fq 관점에서 모두 7%출력 증가 효과를 가져올 수 있을 것으로 나타났다. DMS를 설치하면 PCI 한계도 감시할 수 있다.

• 한국멀티미디어학회논문지
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• 제24권8호
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• pp.1138-1148
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• 2021

In this study, we developed a 'shared-use mobility'-mounted local particulate matter monitoring terminal technology to measure the actual particulate matter concentration around me. As a mobile terminal device in the form of an IoT sensor platform, it is designed to be separated into a control module and a sensor module to minimize interference between sensors and to consider the optimal observation position of each sensor. As a result of the field test, it was confirmed that particulate matter was locally different depending on time and space even within the same area. In addition, it was confirmed that the concentration of particulate matter in the relevant section differed by up to 100 times compared to the surrounding area due to specific sources of particulate matter such as unpaved roads. In addition, we positively reviewed the applicability of the service in the real-time metaverse environment using this result. Through technological advancement and application of multiple shared-use mobilities, we expect to be able to provide new services for practical smart city air environment monitoring, such as localized particulate matter information, air pollution event information, and identification of causes of particulate matter.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2023년도 학술발표회
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• pp.175-175
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• 2023

Detection and monitoring of wildfires are essential for limiting their harmful effects on ecosystems, human lives, and property. In this research, we propose a novel method running in the Google Earth Engine platform for identifying and characterizing burnt regions using a hybrid of Sentinel-1 (C-band synthetic aperture radar) and Sentinel-2 (multispectral photography) images. The 2022 Uljin wildfire, the severest event in South Korean history, is the primary area of our investigation. Given its documented success in remote sensing and land cover categorization applications, we select the Random Forest (RF) method as our primary classifier. Next, we evaluate the performance of our model using multiple accuracy measures, including overall accuracy (OA), Kappa coefficient, and area under the curve (AUC). The proposed method shows the accuracy and resilience of wildfire identification compared to traditional methods that depend on survey data. These results have significant implications for the development of efficient and dependable wildfire monitoring systems and add to our knowledge of how machine learning and remote sensing-based approaches may be combined to improve environmental monitoring and management applications.

• 한국산업융합학회 논문집
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• 제26권2_2호
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• pp.315-325
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• 2023

Recently, various dynamic risk analysis methods have been suggested for estimating the risk index by predicting the possibility of accidents and damage. It is necessary to maintain and support the safety system for responding to accidents by continuously updating the probability of accidents and the results of accidents, which are quantitative standards of ship risk. In this study, when a LNG leakage that may occur in the LN G Fuel Gas Supply System (FGSS) room during LN G bunkering operation, a reliability physical model was prepared by the change in monitoring data as physical parameters to estimate the accident probability. The scenario in which LNG leakage occur were configured with FT (Fault Tree), and the coefficient of the covariate model and Weibull distribution was estimated based on the monitoring data. The possibility of an LNG leakage, which is the top event of FT, was confirmed by changes in time and monitoring data. A method for estimating the LNG leakage based on the reliability physical analysis is proposed, which supports fast decision-making by identifying the potential LNG leakage at the accident.

• 한국전자통신학회논문지
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• 제19권1호
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• pp.233-240
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• 2024

본 연구에서는 5G 네트워크용 UAV(: Unmanned Aerial Vehicle)를 사용한 산업단지 내의 현장 상황을 실시간 감시하는 시스템에 대해 소개한다. UAV에 장착된 센서(화재, 유해가스 검출, 산업 재해형 인체 사고 감지)에서 모니터링 이벤트가 발생하면 센서의 주요 정보들이 UAS(: Unmanned Aerial System)애플리케이션 서버로 전달한다. 이러한 정보 전달 처리결과로, 산업단지공단의 관리자나 운영자는 사고 위험 상황별 트리거 처리를 통한 산업단지공단 내의 현장에서 인명사고와 화재, 그리고 유해 가스검출에 대한 법적인 근거 자료를 확보할 수 있게 되었다.

• 방사선산업학회지
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• 제17권3호
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• pp.219-224
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• 2023

A high-efficiency underwater radiation monitoring system, HydroGamma, has been developed for detecting ¹³⁷Cs and ¹³¹I in the event of waterborne radiation contamination. The system consists of a 3-inch NaI (Tl) detector, solar panels for power supply, data acquisition and transmission modules, and batteries. HydroGamma also includes a ⁴⁰K calibration source for remote performance evaluation and energy calibration. In this study, some simulations and experiments were carried out to evaluate the minimum detectable activities (MDA) of HydroGamma. We installed the HydroGamma at Tapjeongho Lake in Nonsan-si and acquired background data since MDA is calculated based on the experimental background data. The results show that the minimum detectable activities for ¹³⁷Cs and ¹³¹I were 1.78Bq L^-1 and 1.81Bq L^-1, respectively even though the gamma rays emitted from ⁴⁰K(1,460 keV) affect the minimum detectable activities for them.

• 한국습지학회지
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• 제11권3호
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• pp.145-151
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• 2009

현재까지 국내의 수질관리 정책은 점오염원 관리를 우선시 하고 있다. 그러나 계속되는 점오염원의 관리에도 불구하고 호소수의 수질은 악화되고 있다. 비점오염원은 강우 시 발생하는 오염원으로 토지이용에 따라 발생하는 오염물질의 종류와 양이 달라 불확실성이 큰 오염원이므로 점오염원과 함께 비점오염원의 관리가 필요한 실정이다. 다양한 토지이용 중에서 인공초지(공원 묘지) 지점이 차지하는 비율이 낮기 때문에 원단위를 산정하는데 필요한 기초 데이터에 대한 연구가 전무한 상태이다. 따라서 본 연구는 인공초지(공원 묘지) 지점으로부터 강우 시 유출수와 함께 발생하는 비점오염물질의 유출특성 및 상관성을 파악하였다. 그 결과 강우 초기에 오염물질의 농도는 비교적 높게 유출되는 현상을 나타냈으며, 강우가 지속될수록 오염물질의 농도는 감소하는 것으로 나타났다. 그러나 첨두유량이 발생하면서 유출농도는 증가하였다. 또한 통계분석을 실시한 결과 오염물질별 상관성이 거의 없는 것으로 나타났다. 이러한 결과는 향후 부하량과 원단위 산정에 필요한 기초자료로 활용될 수 있을 것으로 기대된다.

• 지구물리와물리탐사
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• 제16권4호
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• pp.234-239
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• 2013

2011년 3월 11일에 일본 토호쿠 앞바다에서 규모 9.0의 대지진이 발생하였고 이는 전 세계 지진관측망뿐 아니라 IMS(International Monitoring System)에서 운영하는 하와이 수중음향 관측망에도 기록되었다. 우리는 이 대지진을 비롯한 두개의 규모 7 이상의 여진의 수중음향 자료에 대하여 방위각 및 스펙트럼 분석을 통해 복잡한 지진원에서 발생한 T 파의 특성을 파악하고자 연구를 수행하였다. 이를 통해 복잡한 단층 파열 현상이 직접적으로 T 파의 형태에 영향을 미치는 것을 관측하였고, 빠른 단층 파열 과정에 의하여 발생한 T 파가 중첩되는 구간에서 큰 에너지가 기록된 것을 확인할 수 있었다. 두 여진에서 발생한 T 파를 비교한 결과 단층 종류와 깊이에 의해 T 파의 형태와 주파수 특성이 변하는 것을 확인하였다.

• 한국환경과학회지
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• 제22권6호
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• pp.651-666
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• 2013

This study introduces a novel approach to the differentiation of two phenomena, Asian Dust and haze, which are extremely difficult to distinguish based solely on comparisons of PM10 concentration, through use of the Optical Particle Counter (OPC), which simultaneously generates PM10, PM2.5 and PM1.0 concentration. In the case of Asian Dust, PM10 concentration rose to the exclusion of PM2.5 and PM1.0 concentration. The relative ratios of PM2.5 and PM1.0 concentration versus PM10 concentration were below 40%, which is consistent with the conclusion that Asian Dust, as a prime example of the coarse-particle phenomenon, only impacts PM10 concentration, not PM2.5 and PM1.0 concentration. In contrast, PM10, PM2.5 and PM1.0 concentration simultaneously increased with haze. The relative ratios of PM2.5 and PM1.0 concentration versus PM10 concentration were generally above 70%. In this case, PM1.0 concentration varies because a haze event consists of secondary aerosol in the fine-mode, and the relative ratios of PM10 and PM2.5 concentration remain intact as these values already subsume PM1.0 concentration. The sequential shift of the peaks in PM10, PM2.5 and PM1.0 concentrations also serve to individually track the transport of coarse-mode versus fine-mode aerosols. The distinction in the relative ratios of PM2.5 and PM1.0 concentration versus PM10 concentration in an Asian Dust versus a haze event, when collected on a national or global scale using OPC monitoring networks, provides realistic information on outbreaks and transport of Asian Dust and haze.

• Smart Structures and Systems
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• 제14권1호
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• pp.39-54
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• 2014

Node layout optimization of structural wireless systems is investigated as a means to prolong the network lifetime without, if possible, compromising information quality of the measurement data. The trade-off between these antagonistic objectives is studied within a multi-objective layout optimization framework. A Genetic Algorithm is adopted to obtain a set of Pareto-optimal solutions from which the end user can select the final layout. The information quality of the measurement data collected from a heterogeneous WSN is quantified from the placement quality indicators of strain and acceleration sensors. The network lifetime or equivalently the network energy consumption is estimated through WSN simulation that provides realistic results by capturing the dynamics of the wireless communication protocols. A layout optimization study of a monitoring system on the Great Belt Bridge is conducted to evaluate the proposed approach. The placement quality of strain gauges and accelerometers is obtained as a ratio of the Modal Clarity Index and Mode Shape Expansion values that are computed from a Finite Element model of the monitored bridge. To estimate the energy consumption of the WSN platform in a realistic scenario, we use a discrete-event simulator with stochastic communication models. Finally, we compare the optimization results with those obtained in a previous work where the network energy consumption is obtained via deterministic communication models.