• 한국농공학회지
• /
• 제43권5호
• /
• pp.83-92
• /
• 2001

As a result of the recent water resources crisis, development of water management automation system becomes important. This system should be developed with open architecture in order to flexibly meet the spacial and time change of irrigation water demand. Thereby, water management automation system requires open architecture and suitable software program. This study presents an application of object-oriented methodology for Open Water Management Program(OWMP). Accordingly, OWMP provides a high degree of reliability which allows modification of parameters by change of region or time to be possible. OWMP consists of Data Base Management System(DBMS) and Model System. DBMS makes it possible to analyze data related with planning water schedule and establishing database. Model System calculates reservoir inflow, reservoir effluent and basin water demand. An operator decides the reservoir operation with results of Model System and DBMS. OWMP could be adapted to the planning and decision for saving water.

• Korean Membrane Journal
• /
• 제11권1호
• /
• pp.15-20
• /
• 2009

The periodic water-back-flushing using permeate water was performed to minimize membrane fouling and to enhance permeate flux in tubular ceramic ultrafiltration (UF) system for Gongji stream water treatment in Chuncheon city. The filtration time (FT), which was the water-back-flushing period, 2 min with periodic 15 sec water-back-flushing showed the highest value of dimensionless permeate flux ($J/J_o$), and the lowest value of resistance of membrane fouling ($R_f$), and we acquired the highest total permeate volume ($V_T$) of 6.35 L. Consequently FT 2 min at back-flushing time (BT) 15 sec could be the optimal condition in advanced UF water treatment of Gongji stream. Then the average rejection rates of pollutants by our tubular ceramic UF system were 99.4% for Turbidity, 31.8% for $COD_{Mn}$, 22.6% for $NH_3$-N and 65.9% for T-P.

• 한국위성정보통신학회논문지
• /
• 제10권4호
• /
• pp.83-86
• /
• 2015

본 논문에서는 수처리 시설용 광대역 통합망 연계 실시간 계측관리 시스템 UI 개발을 제안한다. 수처리시설용 광대역 통합망을 통해 서버로 수신된 센서 및 영상 데이터를 Web과 연동하기 위한 프로그램을 개발하며, 이와 별도로 독립적으로 운영이 가능한 UI를 개발한다. 전송된 센서 및 영상데이터를 원격 모니터링 하기 위한 웹 서버를 구축하며 센서 데이터, 영상 데이터를 Web기반의 UI를 통해 감시 및 제어가 가능하도록 개발하였다. 제안하는 수처리 시설용 광대역 통합망 연계형 실시간 계측관리 시스템을 통하여 센서를 통한 측정시간, 농도, 수심 계면 등의 현재 상태를 파악할 수 있으며 영상 모니터링을 통하여 실시간으로 수처리 시설의 정상적인 동작여부와 보안 및 화재 등의 인명피해 여부를 확인 할 수 있다. 뿐만 아니라 실시간 계측 관리 시스템을 실시간으로 모니터링 할 수 있는 UI 개발로 인해 실시간으로 정보를 한눈에 볼 수 있다.

• 한국식품조리과학회지
• /
• 제25권4호
• /
• pp.496-505
• /
• 2009

The influence of roasting time on antibacterial and antioxidative effects of methanol and water coffee extracts was investigated. Extract yield differed with roasting time. The maximum yield of methanol extract was 20.02% and 24.00% at respective roasting times of 12 and 20 min. The maximum yield of water extracts was 2.70% and 18.58% at 5 and 25 min roasting time, respectively. Antibacterial effects of each extract were determined by the classical minimal inhibitory concentration (MIC) paper disc diffusion method. Methanol extracts of different coffee samples inhibited growth of various strains except Escherichia coli. Extracts obtained following roasting times of 12, 14, 16, 20, and 25 min in particular displayed the most potent activity against Staphylococcus aureus. Among these extracts, that obtained from 12 min roasted coffee samples produced a MIC of $16.125{\mu}g$/mL against S. aureus. Water extracts applied at $1,000{\mu}g$/mL were growth inhibitory except against Salmonella choleraesuis and Prevotella intermedia. However, growth inhibition by water extracts was weak, with inhibitory zones of only 6-8 mm diameter produced. Determinations of free radical elimination for the different coffee extracts using 1,1-diphenyl-2-picrylhydrazyl were compared with ascorbic acid and butylated hydroxytoluene positive controls. Methanol and water extracts of different coffee samples ($100{\mu}g$/mL) showed $67.1{\sim}92.3%$ and $66.4{\sim}93.3%$ radical scavenging activity, respectively. However, longer roasting time (especially >20 min) tended to somewhat lower free radical elimination using both extracts. Total phenol in different coffee samples measured by the Folin-Denis method revealed the highest level of phenol contents with non-roasted coffee, whereas phenol content differed with different roasting time, ranging from $87.{\sim}126.5\;mg/g$ in methanol extracts. In water extracts, the phenol content was maximum at 8 min roasting time, whereas in other samples the content was varied from $95.0{\sim}199.1\;mg/g$.

• Corrosion Science and Technology
• /
• 제3권6호
• /
• pp.245-250
• /
• 2004

A series of classical G109 type concrete specimens was exposed to cyclic wet and dry ponding with 15 w/o NaCl solution for approximately five years. Mix design variables included 1) three cement alkalinities (EqA of 0.97, 0.52, and 0.36) and 2) three water-cement ratios (0.50, 0.41, and 0.37). To determine the corrosion initiation time, corrosion potential and macro-cell current between top and bottom bars were monitored. Subsequent to corrosion initiation, specimens were autopsied and visually inspected. Concrete powder samples were collected from top rebar trace and chloride concentration was measured. Also, time-to-corrosion, $T_i$, for specimens of the individual mix designs was represented using Weibull analysis. Time-to-corrosion was a distributed parameter; and because of this, corrosion initiation of four identical specimens for each mix varied, often over a relatively wide range. Specimens fabricated using the lowest water cement ratio and the highest alkalinity cement exhibited the longest time-to-corrosion initiation and the highest chloride threshold levels. Time-to-corrosion did not increase monotonically with cement alkalinity, however, presumably as a consequence of relatively high $Cl^-$ binding in the lower pore water pH range. The chloride threshold level, $Cl_{th}$, increased with increasing $T_i$ and, consequently, was greatest for the highest cement alkalinity specimens.

• 한국농공학회논문집
• /
• 제65권2호
• /
• pp.1-11
• /
• 2023

This study analyzed the impact of greenhouse cultivation area and groundwater level changes due to the water curtain cultivation in the greenhouse complexes. The groundwater observation data in the Miryang study area were used and classified into greenhouse and field cultivation areas to compare the groundwater impact of water curtain cultivation in the greenhouse complex. We identified the characteristics of the groundwater time series data by the terrain of the study area and selected the optimal model through time series analysis. We analyzed the time series data for each terrain's two representative groundwater observation wells. The Seasonal ARIMA model was chosen as the optimal model for riverside well, and for plain and mountain well, the ARIMA model and Seasonal ARIMA model were selected as the optimal model. A suitable prediction model is not limited to one model due to a change in a groundwater level fluctuation pattern caused by a surrounding environment change but may change over time. Therefore, it is necessary to periodically check and revise the optimal model rather than continuously applying one selected ARIMA model. Groundwater forecasting results through time series analysis can be used for sustainable groundwater resource management.

• 한국농공학회논문집
• /
• 제66권1호
• /
• pp.1-13
• /
• 2024

This study assessed the efficacy of improving the accuracy of reservoir water level prediction models by employing automated machine learning models and efficient cross-validation methods for time-series data. Considering the inherent complexity and non-linearity of time-series data related to reservoir water levels, we proposed an optimized approach for model selection and training. The performance of twelve models was evaluated for the Obong Reservoir in Gangneung, Gangwon Province, using the TPOT (Tree-based Pipeline Optimization Tool) and four cross-validation methods, which led to the determination of the optimal pipeline model. The pipeline model consisting of Extra Tree, Stacking Ridge Regression, and Simple Ridge Regression showed outstanding predictive performance for both training and test data, with an R² (Coefficient of determination) and NSE (Nash-Sutcliffe Efficiency) exceeding 0.93. On the other hand, for predictions of water levels 12 hours later, the pipeline model selected through time-series split cross-validation accurately captured the change pattern of time-series water level data during the test period, with an NSE exceeding 0.99. The methodology proposed in this study is expected to greatly contribute to the efficient generation of reservoir water level predictions in regions with high rainfall variability.

• 한국안전학회지
• /
• 제14권4호
• /
• pp.114-119
• /
• 1999

When NaOCl was generated and put into sea-water cooling machine in order to overcome the biological hindrances against sea-water cooling machine, it was converted into metallic ion, particularly Ca and Mg, as a hydrate in sea-water and is to stick to electrolyte as a side reaction. This phenomena make the distance between the electrolytes narrow to decrease the flow rate, which induces the local vortex flow which erodes the pole plate. Moreover, this increases the resistance of the electrolyte as well as voltage to decrease the electrolytic efficiency, which has curtailed a chlorine yield and caused a pole plate cut. We are able to overcome these problems by chemical cleaning and intend to extend the life-time of electrolyte and to increase output of the sea-water electrolysis facilities by studying optimal policy regarding chemical cleaning of electrolytic cell. Cleaning time of electrolytic facilities is determined when both increase in electrolytic efficiency and decrease in pole-plate voltage are 10%. At this time as operating current of electrolytic facilities is high, operating time is diminished. Whereas, parameter of end point determination according to cleaning is Mg ionic concentration in solution. When we use Cleaner as a 7wt% HCl, cleaning time is about 80min proper. We are able to maintain pole plate performance by protecting against pole plate cut by means of electrolytic by-product, improve operating rate of facilities, and cut down on maintenance expenditure after acidic cleaning.

• 한국식품영양과학회지
• /
• 제30권3호
• /
• pp.455-459
• /
• 2001

Tofu (soybean curd) was made with whole soybean flour (WSF, 420 mesh) by various processing conditions of water addition ratio, heating time, coagulation temperature, molding pressure and 0.3% of mixed coagulant (CaSO₄:GDL=50:50(w/w)). Yield content of WSF-tofu was the highest in processing condition of 85℃ coagulation temperature, 10 times water addition, 5min. heating time and 25.00 g/㎠ molding pressure. As the increase of the water addition ratio from 8 to 14 times (water:WSF, v/w), Hunter's L and a values were increased. Raising of heating time (100℃, 1, 5, 10 and 15 min), a and b value were increased. Textural properties of WSF-tofu were significantly affected by coagulation temperature (75, 80, 85 and 90℃). Hardness was increased, but adhesiveness and cohesiveness were decreased. heating time was influenced on harness of WSF-tofu, but water addition ratio was not affected on hardness of WSF-tofu. Increasing of molding pressure (16.83, 25.00, 33.22 and 41.67 g/㎠, 1 hr) was resulted from a increased hardness, gumminess and chewingss of tofu, but adhesiveness was addition ratio, 5 min heating time and 25.00 g/㎠ molding pressure recorded the highest score in sensory evaluation test.

• Steel and Composite Structures
• /
• 제36권5호
• /
• pp.521-531
• /
• 2020

The behavior variation of concrete dam is investigated, based on a new method for analyzing the data model of concrete dam in service process for the limitation of wavelet transform for solving concrete dam service process model. The study takes into account the time and position of behavior change during the process of concrete dam service. There is no dependence on the effect quantity for overcoming the shortcomings of the traditional identification method. The panel data model is firstly proposed for analyzing the behavior change of composite concrete dam. The change-point theory is used to identify whether the behavior of concrete dams changes during service. The phase space reconstruction technique is used to reconstruct the phase plane of the trend effect component. The time dimension method is used to solve the construction of multi-transformation model of composite panel data. An existing 76.3-m-high dam is used to investigate some key issues on the behavior change. Emphasis is placed on conversion time and location for three time periods consistent with the practical analysis report for evaluating the validity of the analysis method of the behavior variation of concrete dams presented in this paper.