• 상하수도학회지
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• 제36권3호
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• pp.149-165
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• 2022

The water consumption data of individual consumers must be analyzed and forecast to establish an effective water demand management plan. A k-mean cluster model that can monitor water use characteristics based on hourly water consumption data measured using automated meter reading devices and demographic factors is developed in this study. In addition, the quantification model that can estimate the daily water consumption is developed. K-mean cluster analysis based on the four clusters shows that the average silhouette coefficient is 0.63, also the silhouette coefficients of each cluster exceed 0.60, thereby verifying the high reliability of the cluster analysis. Furthermore, the clusters are clearly classified based on water usage and water usage patterns. The correlation coefficients of four quantification models for estimating water consumption exceed 0.74, confirming that the models can accurately simulate the investigated demographic data. The statistical significance of the models is considered reasonable, hence, they are applicable to the actual field. Because the use of automated smart water meters has become increasingly popular in recent year, water consumption has been metered remotely in many areas. The proposed methodology and the results obtained in this study are expected to facilitate improvements in the usability of smart water meters in the future.

• 한국수자원학회논문집
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• 제54권6호
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• pp.381-393
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• 2021

국립재난안전연구원의 재난안전 신기술 공적개발원조(ODA) 사업의 일환으로 2019년 라오스 볼리캄싸이주 남싼강유역의 보리칸을 대상으로 홍수예경보시스템을 구축하였다. 미계측 중소하천유역인 대상 지역에 강우량와 유출량의 실시간 관측을 위한 관측소 및 경보국을 설치하였으며, 실시간 자료 관리와 홍수예경보 기능 등을 수행하는 소프트웨어도 개발되었다. 홍수경보 기준 설정 및 홍수예측을 위한 nomograph 개발을 위해 대상 지역의 30년 치 연도별 최대 일강우량자료와 하천측량성과를 바탕으로 수리·수문분석을 수행하였다. 본 논문은 시스템 구축 과정과 방법론을 소개하고, 시스템 설치 후 2020년 실시간 관측 수집된 자료들을 바탕으로 수행한 시스템의 적용성 검토 결과를 제시하였다.

• 한국농공학회지
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• 제36권4호
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• pp.33-38
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• 1994

Floating-type automatic turnout was developed for the purpose of reducing labor cost and labor-working hours related to turnout management. The point of automation is to use a flexible-float within the turnout. The weight of float is changed by emptying and filling with water at the beginning and ending of irrigation. The turnout is controlled to open and close small bole on the float bottom using electromagnets. With the weight control of float. the gate of turnout is opened by the empty float to begin irrigatiom and is closed by the filled float to stop irrigation. The turnout was designed to be operated by the main computer and to minimize electric power consumption by sending an electric current at the beginning and ending of irrigation. The functional experiment was succesfully carried out and the rating curves for both free overflow condition and submerged flow condition were derived.

• 한국농공학회지
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• 제37권1호
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• pp.49-54
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• 1995

Three types of floating-type automatic inlet were developed for the purpose of reduc- ing farmer's working hours required for water management and saving irrigation water. The point of automation is to use a float within the inlet which is floated and sinked by the ponding depth of paddy field, Thus opens and closes the control gate of irrigation. Suitability of each inlet may depend on production cost, applicability to paddy field condi- tions, and feasibility to farmers, etc. The first model was composed of three parts : chamber for irrigation control gate, chamber for float controlled by ponding depth, and connection bar between the two parts. It was designed to open and close the control gate gradually as the ponding depth drops and rises to a certain level. The second model was designed to improve the weak point of the first model which is the imperfect-closing of gate when it approaches to the end of ir- rigation. A switch-spring was equipped above the connection bar for perfect opening and closing of gate when the ponding depth reaches to a certain level. The third model was designed by combining the two chambers, that is, cut in halves the inlet volume of the above two models. Magnets were equipped above the float for perfect opening and closing gate. The functional experiment for three developed inlets was successfully carried out and the rating curves were derived.

• Journal of Advanced Marine Engineering and Technology
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• 제33권2호
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• pp.282-287
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• 2009

As current international guideline and IMO regulation give severe restrictions for ships to manage ballast water to reduce unintentional organism transfers, several ballast water treatment systems recently have been being developed together with filtration. That is because discharging ballast water from ships causes many pollutions by foreign biological invasive species. The primary treatment system being considered in this study was based on fine screen filtration technology applied to ballast water filter in ballast tank in order to reduce the load of ballast water treatment system. New ballast water filtration system was invented and analysed. The structural stress and strain analysis for ballast filtration systems which are current and invented filters were carried out using UGS and Ansys. The results showed that the structure of current filtering module was not designed to meet the requirement of sea water filtration during ballasting operation. The studies also showed that the invented design of filtration system equipped with back washing and automatic scrapper for eliminating cake of bio-species might be a potentially effective technology for ballast water management of ship's ballast tank.

• 한국환경보건학회지
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• 제14권1호
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• pp.39-45
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• 1988

The stochastic variations were analyzed periodicity by autocorrelation, variance spectrum and Fourier series. These time series included hourly and hourly mean observations on DO, water temperature and air temperature which measured by automatic recording instrument at Guii from 1, Jan., 1986 to 23, Feb., 1986. The results of study were as follows: l. Autocorrelation coef. (lag time 120) DO($\varrho_1$= 0.9705), WT($\varrho_1$ = 0.9890), and AT($\varrho_1$ = 0.9874) were deeply related. DO and AT clearly showedr 24-hour periodicities while WT showed 23-26 hour periodicity. 2. Spectral density showed high at 24 hour in eech item and all of them showed weak peak at 12 hour. 3. The explained variance, which was a measure of the contribution of periodic function to the original time series, varied high 90.8 - 94.7%. This results showed that water qualities at Guii were affected deterministic components.

• 한국농공학회논문집
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• 제64권3호
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• pp.63-73
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• 2022

A more accurate understanding of the irrigation water supply is necessary for efficient agricultural water management. Although we measure water levels in an irrigation canal using ultrasonic water level gauges, some errors occur due to malfunctions or the surrounding environment. This study aims to apply CNN (Convolutional Neural Network) Deep-learning-based image classification and segmentation models to the irrigation canal's CCTV (Closed-Circuit Television) images. The CCTV images were acquired from the irrigation canal of the agricultural reservoir in Cheorwon-gun, Gangwon-do. We used the ResNet-50 model for the image classification model and the U-Net model for the image segmentation model. Using the Natural Breaks algorithm, we divided water level data into 2, 4, and 8 groups for image classification models. The classification models of 2, 4, and 8 groups showed the accuracy of 1.000, 0.987, and 0.634, respectively. The image segmentation model showed a Dice score of 0.998 and predicted water levels showed R² of 0.97 and MAE (Mean Absolute Error) of 0.02 m. The image classification models can be applied to the automatic gate-controller at four divisions of water levels. Also, the image segmentation model results can be applied to the alternative measurement for ultrasonic water gauges. We expect that the results of this study can provide a more scientific and efficient approach for agricultural water management.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2016년도 학술발표회
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• pp.190-190
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• 2016

The Water, Energy, and Food (WEF) nexus is an emerging concept for sustainable resources planning and management. The three valuable resources are inevitably interconnected, that is, it takes water to produce energy; it takes energy to extract, treat, and distribute water; and both water and energy are required to produce food. Although it is challenging to fully understand the complicated interdependency, a few studies have been devoted to interpret the concept and develop the assessment tools. The tools were mainly developed for nation-wide simulations without considering inter-basin or inter-state resources trade. This study tries to present an idea to develop and implement the WEF nexus simulation model in regional scale by advancing the existing nation-wide model with additional capability to simulate the inter-basin trade. This simulation could help local planners and engineers to determine optimal policies and infrastructure solutions to reach and ensure local demand satisfaction. The simulation model is implemented in hypothetical areas with different conditions of WEF demands and supplies. Although the inter-basin trade scenarios are simulated manually, it shows that the inter-basin resources trade could enhance the resources security for a longer time period. In future, an optimization model might be developed to provide the automatic calculation to reach optimum amount of WEF for the trade, which can be a helpful tool in decision making process.

• 생태와환경
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• 제39권2호통권116호
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• pp.257-264
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• 2006

호수내 엽록소를 상시적으로 측정하기 위한 자동측정기(AOA)를 적용하고 타당성을 평가하기 위하여 서울-경기지역 상수원수인 팔당호 현장수가 직접 유입되는 제2취수장에서 시료를 채취하였다. 분석은 조류 현존량 및 종 조성 분석, 흡광광도법과 자동측정기에 의한 엽록소측정 등을 동시에 실시하여 그 결과를 비교 조사하고 현장 적용 가능성을 평가하였다. 연구결과. 조류분류군별 엽록소 기여도는 규조류가 83.6%로 가장 높았으며, 녹조류, 남조류, 크립토조류의 순으로 나타났다. 자동측정법과 흡광광도법에 의한 엽록소 농도는 전체적으로 매우 유의한 상관성을 보였으나(.=0.87, n=302, p<0.001), 시기 또는 공 조성에 따라 차이를 보였다. 자동측정기의 민감포는 크립토조 (r=0.83, p=0.00154)와 규조 (r=0.73,p=0.010)가 높았으며 현존량이 낮은 녹조(r=-0.13)와 남조(r=-0.16)에 대해서는 상관성을 보이지 않았다. 결과적으로 엽록소 자동측정법은 고전적인 아세톤 추출 방법에 비해 신속성과 경제성은 매우 인정되지만 출현종의 밀도나 종 천이 등을 고려한 조류분석 및 엽록소 직접측정 등이 병행되어야 할 것으로 사료되었다.

• 한국정보통신학회논문지
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• 제24권9호
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• pp.1215-1223
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• 2020

최근 서울 경기를 비롯한 전국에서 국지성 집중호우, 태풍 등 악천후 관련 자연재해가 증가함에 따라 이에 대한 방재 및 물관리 대책이 필요한 실정이다. 이러한 수재해를 관측하기 위해 사용되는 우량계는 지상의 강우를 연속적·직접적으로 측정할 수 있는 장점이 있는 반면, 우량계 미설치 영역에 대한 공간적인 강우 분포를 정확하게 제공할 수 없다. 이러한 문제를 해결하고자 강수의 공간분포를 측정할 수 있는 전자파 기반 센서인 전파강수계(EWRG, Electromagnetic Wave Rain Gauge)를 개발하였다. 본 논문에서는 전파강수계의 FPGA 기반 신호처리 설계 방법을 제안한다. 전파강수계의 신호처리는 크게 LFM 파형의 ADC 및 DDC와 펄스압축, 상관 계수 및 강수 파라미터 산정으로 설계하였다. 본 연구를 통해 LFM 파형과 펄스압축 신호를 이론적으로 분석하였으며, 전파강수계 신호처리 설계를 위해서 FPGA 기반의 신호처리 설계 및 검증을 수행하였다.