• Journal of Biomedical Engineering Research
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• v.20 no.4
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• pp.451-459
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• 1999

During the electromyographic evaluation for the diagnosis of neuropathy, presence for site of lesion could be predicted by a detection of denervation potentials such as fibrillation potentials or positive sharp waves in a group of muscles. Unfortunately, since denervation potentials are distinguished by examiner's experience, it is possible to make mistake identifying endplate spikes as a denervation potential. The aim of the study was to extract parameters to make an algorithm for quantitative distinction between denervation potentials and endplate spikes. It will help to minimize the examiner's bias and to localize the site of lesion thus increase the reliability on EMG diagnosis. There types of signals, endplate spike, fibrillation potential and positive sharp wave were obtained from the EDB(extensor digitorum brevis) muscle using then neuropathic patients. Eight parameters such as duration, area, slope, peak-to-peak amplitude, positive peak negative peak amplitude, ratio of positive to negative peak amplitude, and number of phase were extracted and compared. As a results, peak-to-peak amplitude, positive peak amplitude, ratio of positive to negative peak amplitude showed statistically significant differences between endplate spikes and denervation potentials. It was concluded that those parameters could be used to establish an algorithm which will improve the accuracies in automated quantitative EMG diagnosis.

• Journal of the Korean GEO-environmental Society
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• v.8 no.4
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• pp.19-25
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• 2007

Process analysis with ASM3 (Activated Sludge Model3) was performed to offer basic data for the optimization of aerated biofilter (ABF) process design and operation. This study was focused on the simulation of the nitrification reaction in ABF which was a part of the advanced nutrient treatment process using bio-adsorption. The ABF process has been developed for the removal of suspended solids and nitrification reaction in sewage. A GPS-X (General Purpose Simualtor-X) was used for the sensitivity analysis and operation assessment. Sensitivity of ASM3 parameters on ABF was analysed and 4 major parameters ($Y_A$, $k_{sto}$, ${\mu}_A$, $K_{A,HN}$) were determined by dynamic simulation using 70 days data from pilot plant operation. The optimized values were 0.14 for $Y_A$, 3.5/d for $k_{sto}$, 2.7/d for ${\mu}_A$ and 1.1 mg/L for $K_{A,HN}$, respectively. Simulation with optimized parameter values were conducted and TN, $NH_4{^+}-N$ and $NO_3{^-}-N$ concentrations were estimated and compared with measured data at the range of 10 min to 4 hrs of hydraulic retention time (HRT). The simulated results showed that optimized parameter values could represent the characteristics of ABF process. Especially, the ABF showed relatively high nitrification rate (60%) under very short HRT of 10 min. As a consequence, the ABF was thought to be successfully used in the site which having high variation of influent loading rate.

• Journal of Korea Water Resources Association
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• v.36 no.3 s.134
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• pp.399-411
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• 2003

An approach determining a confidence interval of Nash's observed mean instantaneous unit hydrograph is developed. In the approach, both two parameters are treated as correlated gaussian random variables based on the theory of Box-Cox transformation and the regional similarity relation, so that linear statistical parameter estimation is possible. A parametric bootstrap method is adopted to give the confidence interval of the mean observed hydrograph. The proposed methodology is also applicable to estimate the parameters of Nash's model for un-gauged basins. An application to a watershed has shown that the proposed approach is adequate to assess the uncertainty of the Nash's hydrograph and to evaluate parameters for un-gauged basins.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.230-230
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• 2019

대규모순환패턴과 같은 기후시스템에서의 상태와 변화를 정량화하여 나타낸 기상인자는 수문기상학적 변수와 밀접한 연관이 있는 것으로 알려져 있으며, 이에 따라 비정상성 빈도해석의 수행에 있어서 확률분포모형의 매개변수에 대한 공변량으로 널리 활용되고 있다. 본 연구에서는 비정상성 강우빈도해석 시 매개변수의 공변량으로 우리나라의 극치강우의 장기경향성을 잘 반영할 수 있는 기상인자를 선정하고자 한다. 먼저, 시계열자료를 주기성을 가지는 내재모드함수와 장기경향성을 나타내는 잔여값으로 분해할 수 있는 앙상블 경험적 모드분해법을 이용하여 우리나라 전역에 분포된 61개 지점에서 관측된 연 최대치 강우자료의 평균 및 분산에 대한 잔여값을 추출하였다. 다음으로 11개의 월 단위 기상인자에 대한 계절별 연 평균 시계열과 추출된 평균 및 분산의 잔여값과의 상관계수를 산정하였다. 그 결과, 11개의 기상인자 중 Atlantic Meridional Mode (AMM), Atlantic Multi-decadal Oscillation (AMO), North Atlantic Oscillation (NAO)가 우리나라 연 최대치 강우자료의 평균 및 분산에 대한 장기경향성과 높은 상관성이 있는 것으로 나타났다. 계절적으로는 AMM과 AMO의 경우 이전 년도 가을철 평균이 전 지점 평균 약 0.6, NAO는 이전 년도 여름철 평균이 전 지점 평균 0.3 이상의 유의한 상관계수를 가지는 것으로 나타났다.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.407-407
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• 2023

최근 환경부에서 발표한 국가물관리기본계획에서 수자원 총량 중 생활·공업·농업·유지용수의 이용량은 365억m³/년으로 약 29.4%로 발표되었다. 유지용수를 제외한 농업용수 이용량의 비중은 약 60.5%이며, 이 중 약 80%가 논에서 활용되고 있다. 이러한 농업용수 이용량 중 사용되지 않고 하천으로의 방류량이 존재하는데 이를 관개회귀수량이라하며, 농업용수의 약 35%가 하천으로 회귀된다 발표하나 지역에 따른 편차가 존재하기에 정확한 회귀수량을 산정하기엔 미흡한 실정이다. 따라서 본 연구에서는 네트워크 모형을 통한 용배수로 구축 이후 회귀수 정량화를 하고자 하며, 정량화를 위한 네트워크 모형은 EPA-SWMM(Storm Water Management Model) 모형을 활용하였다. 해당 모형은 미국 환경 보호국(U.S. Environmental Protection Agency, EPA)에서 개발한 네트워크 물리모형으로 다양한 환경적 요소에 따른 수문 영향을 확인 가능한 모형이다. 해당 모형의 다양한 네트워크 기능을 통해 논배수로 네트워크를 구축하여 회귀수 정량화를 진행하고자 한다. 논배수로 네트워크를 구축하기 이전 현장조사를 진행하였다. 현장조사를 통한 용수계통도를 작성하였으며, 모형의 입력자료로 필요한 네트워크 용배수로관 표고값을 측량하였다. 이후 현장조사 및 측량 자료를 활용하여 네트워크 물리모형의 입력자료 구축을 진행하였으며, 해당 자료 구축은 지리 정보 시스템 중 ArcGIS와의 연계를 통해 구축하였다. 모형의 수리학적 입력자료는 해당지역의 계측자료를 활용하였으며, 필지 사이의 내리흐름 및 펌프를 통한 용수 또한 네트워크 물리모형의 기능을 활용하여 구축하였다. 이후 계측자료와의 비교를 통한 매개변수 보정을 진행하였으며, 전체 논배수로에 대한 농업용수의 흐름 및 회귀수량을 분석하였다. 해당 연구를 통해 농업용수의 회귀수 산정 및 지역 편차에 따른 회귀수 정량화 등의 연구에 활용될 것으로 기대한다.

• Journal of Korea Water Resources Association
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• v.31 no.6
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• pp.741-755
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• 1998

An extension of TOPMODEL was developed for rainfall-runoff simulation in agricultural watersheds equipped with tile drains. Tile drain functions are incorporated into the framework of TOPMODEL. Nine possible flow generation scenarios are suggested for tile drained watershed and applied in the modeling procedure. In the model development process, the traditional physically based storage approach and a new approach using a transfer function for the simulation of the flow in the unsaturated zone were compared. In order to provide better insight into the simulation process, a regionalized sensitivity analysis was performed to test the performance of the model and to compare the behavior of the transfer function to that of the simple storage related formulation. The results of analysis show good performance of the transfer function approach. Since the rainfall-runoff response pattern tends to vary seasonally, seven events distributed throughout a year were used in the sensitivity analysis to investigate the seasonal variation of the hydrologic characteristics. It is found that the sensitivity of each parameter described by the model are varied seasonally.

• Applied Biological Chemistry
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• v.41 no.5
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• pp.372-376
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• 1998

Internal mass transfer during osmotic dehydration of gingers in sugar solution was examined as a function of concentration, temperature and immersion time of those solutions using moisture loss, sugar gain, molality and rate parameter. Influence of osmotic dehydration on browning reaction and texture properties of air dried rehydrated was also evaluated. Increasing the concentration and temperature of sugar solutions increased moisture loss, sugar gain, molality and rate parameter. Water loss and sugar gain were rapid in the first 3 min and then changed gentle slope. Moisture loss during osmotic dehydration using a sugar solution $(60\;Brix,\;80^{\circ}C)$ with 18 min immersion time was 40.05 g moisture/100 g wet ginger which was 52% reduction of initial moisture content in ginger (83.02%, wet basis). The changes of rate parameter were more affected by temperature than by concentration of sugar solution. Minimum browning degree (O.D.=0.027) was carried out by osmotic dehydration in sugar solution $(40\;or\;50\;Brix,\;80^{\circ}C)$ with 15 min immersion time compared to control (O.D.=0.132). Influence of osmotic dehydration on puncture forces of 3 min rehydrated ginger in boiling water were $22{\sim}34%$ of reduction, while blanching treatment had not affected compared to those of control.

• Korean Journal of Food Science and Technology
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• v.21 no.2
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• pp.307-312
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• 1989

Internal mass transfer during osmotic dehydration of carrots in sugar solutions was examined as a function of concentration, temperature and immersion time of those solutions using moisture loss, sugar gain, molality and rate parameter. Influence of osmotic dehydration and blanching on browning reaction of vacuum dried carrots(3% MC: wet basis) was also evaluated. Increasing the concentration and temperature of sugar solutions increased moisture loss, sugar gain, molality and rate parameter. Water loss and sugar gain were rapid in first 4 min and then levelled off. The rate of sugar gain and molality changes on temperature was significant in lower concentration$(20^{\circ}\;Brix)$ compared to higher concentration$(60^{\circ}\;Brix)$. The changes of rate parameter were affected by concentration than by temperature of sugar solutions. Moisture loss during osmotic dehydration using a sugar solution $(60^{\circ}\;Brix,\;80^{\circ}C)$ with 20min immersion time was 55.7%. Effect of osmotic dehydration and blanching before vacuum dried to 3% MC(Wet basis) on browning reaction was significant. Minimum browning reaction during vacuum drying was carried out using pretreatments such as osmotic dehydration in sugar solution$(40^{\circ}\;Brix,\;80^{\circ}C)$ with 16 min immersion time(O.D.=0.09) and blanching with 12 min immersion time at $80^{\circ}C$(O.D.=0.31) compared to control(O.D.=1.59).

• Journal of the Korean Geotechnical Society
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• v.15 no.3
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• pp.131-149
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• 1999

It was found that surface roughness has a first-order effect on the interface shear strength and accordingly it should be accurately quantified if its role is to be properly understood. To quantify the surface topography, first of all, a variety of commonly used surface roughness parameters and profiling methods were reviewed in this study. Based on this review, the normalized roughness parameter. $R_n$(Uesugi and Kishida, 1986), the profile roughness parameter, $R_L$, and the surface roughness parameter, $R_n$(Dove and Frost, 1996), were selected to be appropriate candidates of roughness parameters and the digital image analysis based Optical Profile Microscopy(OPM) method(Dove and Frost, 1996) to be an appropriate profiling method for this study. Using a smooth and three textured HDPE geomembranes which encompass the range of textures and texture patterns commonly used, a series of roughness measurements on virgin and previously used geomembranes were performed. The results showed that both $R_L\; and\; R_S$ values appropriately reflect the degree of texturing for the geomembranes used in this study, however, $R_n$ value showed limited ranges of variation which may not be sufficient to permit distinction between roughness values for certain conditions. The results of this study will be extended to the investigation of the influence of surface roughness on interface strength in future study.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.225-239
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• 2022

This study investigated the effect of digital agriculturalization factors on business performance with the use of financial support as a moderating variable for agricultural firm workers. The factors of digital agriculture were divided into digital technology innovation orientation, administration innovation orientation, healthiness of ecosystem and entrepreneurship orientation, and business performance was set as a dependent variable. 212 questionnaires collected from workers in agricultural businesses located across the country were used for empirical analysis. Analysis results using SPSS v22.0 and Process macro v3.4 are as follows: First, digital technology innovation orientation, administration innovation orientation, and entrepreneurship orientation have a significant effect on business performance, and the effect of ecosystem health on business performance is appeared to be insignificant. Second, the use of financial support was found to significantly moderating the relationship between digital technology innovation orientation and business performance, entrepreneurship orientation and business performance. On the other hand, it was found that the relationship between operational innovation orientation, business performance, and healthiness of ecosystem and business performance were not significantly moderated In addition, as a follow-up study, a study on the mediation model formed by the discovery of mediators and a study for a moderated mediation analysis through a conditional process model with additional mediators are required.