• Title/Summary/Keyword: variable discharge

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A Study on ESD Protection Circuit with Bidirectional Structure with Latch-up Immunity due to High Holding Voltage (높은 홀딩 전압으로 인한 래치업 면역을 갖는 양방향 구조의 ESD 보호회로에 관한 연구)

  • Jung, Jang-Han;Do, Kyung-Il;Jin, Seung-Hoo;Go, Kyung-Jin;Koo, Yong-Seo
    • Journal of IKEEE
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    • v.25 no.2
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    • pp.376-380
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    • 2021
  • In this paper, we propose a novel ESD protection device with Latch-up immunity properties due to high holding voltages by improving the structure of a typical SCR. To verify the characteristics of the proposed ESD circuit, simulations were conducted using Synopsys TCAD and presented compared to existing ESD protection circuits. Furthermore, the variation of electrical properties was verified using the design variable D1. Simulation results confirm that the proposed ESD protective circuit has higher holding voltage properties and bidirectional discharge properties compared to conventional ESD protective circuits. We validate the electrical properties with post-design TLP measurements using Samsung's 0.13um BCD process. And we verify that the proposed ESD protection circuit in this paper is well suited for high voltage applications in that it has a latch-up immunity due to improved holding voltage through optimization of design variables.

A Study on the Big Data Analysis and Predictive Models for Quality Issues in Defense C5ISR (국방 C5ISR 분야 품질문제의 빅데이터 분석 및 예측 모델에 대한 연구)

  • Hyoung Jo Huh;Sujin Ko;Seung Hyun Baek
    • Journal of Korean Society for Quality Management
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    • v.51 no.4
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    • pp.551-571
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    • 2023
  • Purpose: The purpose of this study is to propose useful suggestions by analyzing the causal effect relationship between the failure rate of quality and the process variables in the C5ISR domain of the defense industry. Methods: The collected data through the in house Systems were analyzed using Big data analysis. Data analysis between quality data and A/S history data was conducted using the CRISP-DM(Cross-Industry Standard Process for Data Mining) analysis process. Results: The results of this study are as follows: After evaluating the performance of candidate models for the influence of inspection data and A/S history data, logistic regression was selected as the final model because it performed relatively well compared to the decision tree with an accuracy of 82%/67% and an AUC of 0.66/0.57. Based on this model, we estimated the coefficients using 'R', a data analysis tool, and found that a specific variable(continuous maximum discharge current time) had a statistically significant effect on the A/S quality failure rate and it was analysed that 82% of the failure rate could be predicted. Conclusion: As the first case of applying big data analysis to quality issues in the defense industry, this study confirms that it is possible to improve the market failure rates of defense products by focusing on the measured values of the main causes of failures derived through the big data analysis process, and identifies improvements, such as the number of data samples and data collection limitations, to be addressed in subsequent studies for a more reliable analysis model.

Potential of River Bottom and Bank Erosion for River Restoration after Dam Slit in the Mountain Stream

  • Kang, Ji-Hyun;So, Kazama
    • Proceedings of the Korea Water Resources Association Conference
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    • 2011.05a
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    • pp.46-46
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    • 2011
  • Severe sediment erosion during floods occur disaster and economic losses, but general sediment erosion is basic mechanism to move sediment from upstream to downstream river. In addition, it is important process to change river form. Check dam, which is constructed in mountain stream, play a vital role such as control of sudden debris flow, but it has negative aspects to river ecosystem. Now a day, check dam of open type is an alternative plan to recover river biological diversity and ecosystem through sediment transport while maintaining the function of disaster control. The purpose of this paper is to verify sediment erosion progress of river bottom and bank as first step for river restoration after dam slit by cross-sectional shear stress and critical shear stress. Study area is upstream reach of slit check dam in mountain stream, named Wasada, in Japan. The check dam was slit with two passages in August, 2010. The transects were surveyed for four upstream cross-sections, 7.4 m, 34 m, 86 m, and 150 m distance from dam in October 2010. Sediment size was surveyed at river bottom and bank. Sediment of cobble size was found at the wetted bottom, and small size particles of sand to medium gravel composed river bank. Discharge was $2.5\;m^3/s$ and bottom slope was 0.027 m/m. Excess shear stress (${\tau}_{ex}$) was calculated for hydraulic erosion by subtracting the values of critical shear stress (${\tau}_{c}$) from the value of shear stress (${\tau}$) at river bottom and bank (${\tau}_{ex}=\tau-{\tau}_c$). Shear stress of river bottom (${\tau}_{bottom}$) was calculated using the cross-sectional shear stress, and bank shear stress (${\tau}_{bank}$) was calculated from the method of Flintham and Carling (1988). $${\tau}_{bank}={\tau}^*SF_{bank}((B+P_{bed})/(2^*P_{bank}))$$ where $SF_{bank}=1.77(P_{bed}/p_{bank}+1.5)^{-1.4}$, B is the water surface width, $P_{bed}$ and $P_{bank}$ are wetted parameter of the bed and bank. Estimated values for ${\tau}_{bottom}$ for a flow of $2.5\;m^3/s$ were lower as 25.0 (7.5 m cross-section), 25.7 (34 m), 21.3 (86 m) and 19.8 (150 m), in N/$m^2$, than critical shear stress (${\tau}_c=62.1\;N/m^2$) with cobble of 64 mm. The values were insufficient to erode cobble sediment. In contrast, even if the values of ${\tau}_{bank}$ were lower than the values for ${\tau}_{bottom}$ as 18.7 (7.5 m), 19.3 (34 m), 16.1 (86 m) and 14.7 (150 m), in N/$m^2$, excess shear stresses were calculated at the three cross-sections of 7.5 m, 34 m, and 86 m distances compare with ${\tau}_c$ is 15.5 N/$m^2$ of 16mm gravel. Bank shear stresses were sufficient for erosion of the medium gravel to sand. Therefore there is potential to erode lateral bank than downward erosion in a flow of $2.5\;m^3/s$. Undercutting of the wetted bank can causes bank scour or collapse, therefore this channel has potential to become wider at the same time. This research is about a potential of sediment erosion, and the result could not verify with real data. Therefore it need next step for verification. In addition an erosion mechanism for river restoration is not simple because discharge distribution is variable by snow-melting or rainy season, and a function for disaster control will recover by big precipitation event. Therefore it needs to consider the relationship between continuous discharge change and sediment erosion.

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Groundwater Flow Model of Igsan Area (익산 지역의 지하수 유동 모델)

  • Hamm, Se Yeong;Kim, Youn Ki
    • Economic and Environmental Geology
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    • v.22 no.4
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    • pp.381-393
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    • 1989
  • Hydrogeological modelling was performed to evaluate groundwater flow system in Igsan Area. The study area extends over $790km^2$. The geology consists of Jurassic Daebo granite and gneissose granite and Precambrian metamorphic rocks. The capability of pumping yield is the highest in gneissose granite region among them due to comparatively thick weathered zone with thickness ranging from 10m to 25m. The Colorado State University Finite Difference Model was used for the model simulation. The model was divided into 28 rows and 31 columns with variable grid spacing. The model was calibrated under steady-state and unsteady-state conditions. In the steady-state simulation, the model results were compared with measured water table contours in September 1985 with determining hydraulic conductivities and net recharge rates during rainy season. Unsteady state simulation was done to know the aquifer response due to groundwater abstraction. The non- steady state calibration was conducted to determine the distribution and magnitudes of specific yields and discharge/recharge rates during dry season as matching water level altitudes in May 1986. The calibrated model was used to simulate water level vaiation caused by groundwater withdrawal and natural recharge from 1 October, 1985 until 30 September, 1995. The calibrated model can be used to groundwater development schemes on regional groundwater levels, but it cannot be used to simulate local groundwater level change at a specific site.

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Continuous Near-field Mixing with Variable Oceanic Conditions (해양수리특성의 변화를 고려한 연속적 근역혼합거동)

  • Kang See Whan;Kim Young Do;Lee Ho Jin;Kim Sang Ik;Han Sung Dae
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.4 no.4
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    • pp.12-20
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    • 2001
  • The temporal variability in near-field mixing characteristics of discharging plumes in oceanic environment was investigated using the time series data of the buoyant jet parameters. Based on the currents and density profiles observed in Masan outfall site and effluent discharge flowrates for 63days of summer season, the temporal variabilities and those occurrence frequency were obtained by line plume equations. The results show that wide range of variability in Masan outfall's mixing characteristics was found due to the temporal changes of effluent flowrates and ambient oceanic conditions. The near-field dilution was in the range of 30~71 with the averaged dilution of 34, which was a good agreement with field measurements of salinity deficit. The length of mixing zone was in the range of 5.4~36.2 m with the average of 9.5 m, and the plume rise height was in the range of 8.1~10.2 m with the average of 8.9 m. However, only the 30~44% of the whole results are higher than the averages, which indicates the necessity of this frequency analysis with the continuously measured data for designing and managing the ocean outfall system.

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Simulation of Mixing Behavior for Dredging Plume using Puff Model (퍼프모형을 이용한 준설플륨의 혼합거동 모의)

  • Kim, Young-Do;Park, Jae-Hyeon;Lee, Man-Soo
    • Journal of Korea Water Resources Association
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    • v.42 no.10
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    • pp.891-896
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    • 2009
  • The puff models have been developed to simulate the advection-diffusion processes of dredging suspended solids, either alone or in combination with Eulerian models. Computational efficiency and accuracy are of prime importance in designing these hybrid approaches to simulate a pollutant discharge, and we characterize two relatively simple Lagrangian techniques in this regard: forward Gaussian puff tracking (FGPT), and backward Gaussian puff tracking (BGPT). FGPT and BGPT offer dramatic savings in computational expense, but their applicability is limited by accuracy concerns in the presence of spatially variable flow or diffusivity fields or complex no-flux or open boundary conditions. For long simulations, particle and/or puff methods can transition to an Eulerian model if appropriate, since the relative computational expense of Lagrangian methods increases with time for continuous sources. Although we focus on simple Lagrangian models that are not suitable to all environmental applications, many of the implementation and computational efficiency concerns outlined herein would also be relevant to using higher order particle and puff methods to extend the near field.

Seasonal and Year-to-year Variations of Water Quality in Mokpo Harbor Area by the Long-term Monitoring (목포항 주변 해역에서 장기 모니터링을 통한 수질의 계절 및 년간변동)

  • Park, Joong-Hyun;Park, Seong-Yoon;Lee, Yong-Hwa;Choi, Da-Mi;Lee, Sang-Yong
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.11 no.2 s.23
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    • pp.97-102
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    • 2005
  • Seasonal and year-to-year variations of water quality were observed at six stations in Mokpo Harbor area between 1997 and 2004. Water quality(salinity, pH, DIN and DIP) was variable between years. Salinity was significantly low in 1998, while nutrient concentrations were significantly higher in 1998 than other years. Water temperature, salinity, DO, COD and DIP concentrations exhibited clear seasonal variations, and these seasonal trends reflected seasonal changes in fresh water discharge from Youngsan river mouth. Water temperature, COD and DIP were significantly higher in August, while salinity and DO reached minimum values in August. In the station 1(Youngsan river mouth), waters with low salinity are subject to high nutrient inputs from Youngsan river, while in the station 6 (outside from Mokpo harbor) waters are primarily oceanic Relationship between water quality parameters indicates that salinity is the primary factor influencing the COD, DO, pH, Chlorophyll a and nutrient concentrations in Mokpo harbor area.

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Low Salinity Anomaly and Nutrient Distribution at Surface Waters of the South Sea of Korea during 1996 Summer (1996년 여름철 남해 표층수의 이상저염수 현상과 영양염류의 분포특성)

  • Kim, Seong-Soo;Go, Woo-Jin;Jo, Yeong-Jo;Lee, Pil-Yong;Jeon, Kyeong-Am
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.3 no.3
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    • pp.165-169
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    • 1998
  • In August 1996, seawater salinity and nutrient distribution were investigated at surface waters in the South Sea of Korea. The low-salinity (< 20.00 psu) waters were observed in the western and southwestern offshore areas of Cheju Island. Relatively low saline (< 30.0 psu) waters occupied most of the survey areas only except in the eastern part. The observed minimum salinity was lower by 11.78 psu than that of the average between 1963 and 1995. The low saline waters appeared in the upper layer of generally 10-20 m deep, and were obriously distinguished from high-salinity (> 32.00 psu) waters, 30 m deep. The low saline waters may originate from the freshwater discharge of vast amount of from Yangtze River during the heavy rainfall season in China. Phosphate concentrations in the surface waters were relatively low and were less variable than those of nitrate and silicate. The maximum concentrations of nitrate and silicate occured in the western and southwestern offshore areas of Cheju Island, where the salinities were the lowest. The concentrations of nitrate and silicate were inversely correlated with salinity, whereas that of phosphate showed a considerable scatter and non-conservative behaviours. This indicates extensive desorption reactions of suspended materials releasing phosphate.

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A Study on Stochastic Estimation of Monthly Runoff by Multiple Regression Analysis (다중회귀분석에 의한 하천 월 유출량의 추계학적 추정에 관한 연구)

  • 김태철;정하우
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.22 no.3
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    • pp.75-87
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    • 1980
  • Most hydro]ogic phenomena are the complex and organic products of multiple causations like climatic and hydro-geological factors. A certain significant correlation on the run-off in river basin would be expected and foreseen in advance, and the effect of each these causual and associated factors (independant variables; present-month rainfall, previous-month run-off, evapotranspiration and relative humidity etc.) upon present-month run-off(dependent variable) may be determined by multiple regression analysis. Functions between independant and dependant variables should be treated repeatedly until satisfactory and optimal combination of independant variables can be obtained. Reliability of the estimated function should be tested according to the result of statistical criterion such as analysis of variance, coefficient of determination and significance-test of regression coefficients before first estimated multiple regression model in historical sequence is determined. But some error between observed and estimated run-off is still there. The error arises because the model used is an inadequate description of the system and because the data constituting the record represent only a sample from a population of monthly discharge observation, so that estimates of model parameter will be subject to sampling errors. Since this error which is a deviation from multiple regression plane cannot be explained by first estimated multiple regression equation, it can be considered as a random error governed by law of chance in nature. This unexplained variance by multiple regression equation can be solved by stochastic approach, that is, random error can be stochastically simulated by multiplying random normal variate to standard error of estimate. Finally hybrid model on estimation of monthly run-off in nonhistorical sequence can be determined by combining the determistic component of multiple regression equation and the stochastic component of random errors. Monthly run-off in Naju station in Yong-San river basin is estimated by multiple regression model and hybrid model. And some comparisons between observed and estimated run-off and between multiple regression model and already-existing estimation methods such as Gajiyama formula, tank model and Thomas-Fiering model are done. The results are as follows. (1) The optimal function to estimate monthly run-off in historical sequence is multiple linear regression equation in overall-month unit, that is; Qn=0.788Pn+0.130Qn-1-0.273En-0.1 About 85% of total variance of monthly runoff can be explained by multiple linear regression equation and its coefficient of determination (R2) is 0.843. This means we can estimate monthly runoff in historical sequence highly significantly with short data of observation by above mentioned equation. (2) The optimal function to estimate monthly runoff in nonhistorical sequence is hybrid model combined with multiple linear regression equation in overall-month unit and stochastic component, that is; Qn=0. 788Pn+0. l30Qn-1-0. 273En-0. 10+Sy.t The rest 15% of unexplained variance of monthly runoff can be explained by addition of stochastic process and a bit more reliable results of statistical characteristics of monthly runoff in non-historical sequence are derived. This estimated monthly runoff in non-historical sequence shows up the extraordinary value (maximum, minimum value) which is not appeared in the observed runoff as a random component. (3) "Frequency best fit coefficient" (R2f) of multiple linear regression equation is 0.847 which is the same value as Gaijyama's one. This implies that multiple linear regression equation and Gajiyama formula are theoretically rather reasonable functions.

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Development of Real-Time River Flow Forecasting Model with Data Assimilation Technique (자료동화 기법을 연계한 실시간 하천유량 예측모형 개발)

  • Lee, Byong-Ju;Bae, Deg-Hyo
    • Journal of Korea Water Resources Association
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    • v.44 no.3
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    • pp.199-208
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    • 2011
  • The objective of this study is to develop real-time river flow forecast model by linking continuous rainfall-runoff model with ensemble Kalman filter technique. Andong dam basin is selected as study area and the model performance is evaluated for two periods, 2006. 7.1~8.18 and 2007. 8.1~9.30. The model state variables for data assimilation are defined as soil water content, basin storage and channel storage. This model is designed so as to be updated the state variables using measured inflow data at Andong dam. The analysing result from the behavior of the state variables, predicted state variable as simulated discharge is updated 74% toward measured one. Under the condition of assuming that the forecasted rainfall is equal to the measured one, the model accuracy with and without data assimilation is analyzed. The model performance of the former is better than that of the latter as much as 49.6% and 33.1% for 1 h-lead time during the evaluation period, 2006 and 2007. The real-time river flow forecast model using rainfall-runoff model linking with data assimilation process can show better forecasting result than the existing methods using rainfall-runoff model only in view of the results so far achieved.