• Title/Summary/Keyword: flow heterogeneity

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Identification of Nash Model Parameters Based on Heterogeneity of Drainage Paths (배수경로의 이질성을 기반으로 한 Nash 모형의 매개변수 동정)

  • Choi, Yong-Joon;Kim, Joo-Cheol;Jung, Kwan-Sue
    • Journal of Korea Water Resources Association
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    • v.43 no.1
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    • pp.1-13
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    • 2010
  • For the first time, this study identifies Nash model parameters by GIUH theory based on grid of GIS with heterogeneity of drainage path. Identified parameters have advantages to improve accuracy and usefulness with considering hillslpoe-flow, geomorphological dispersion and easily extracting geomorphological factors by GIS in the watershed. Calculated results by identified parameters compare with observation data for verification of this model. The comparison is well correspondence between observed data and calculated results. And the comparison results of changing trends about lag time and the variance as hillslope and channel characteristic velocities sensitively present changes about hillslope characteristic velocity. Thus this model justifies that estimation of hillslope characteristic velocity demands with the great caution.

Effects of Site-scale Anisotropy of an Aquifer on Groundwater Remediation (지하수 오염복원에서 현장규모 이방성의 효과)

  • Lee, Jae-Min;Lee, Byung-Sun;Woo, Nam-Chil
    • Journal of Soil and Groundwater Environment
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    • v.15 no.6
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    • pp.17-28
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    • 2010
  • As a preliminary survey to improve efficiency of well-based permeable reactive barrier system for groundwater remediation, this site-scale study was carried to identify the flowpaths and controlling factors of plume at a remediation site in Suwon City, Korea. A total of 22 monitoring wells were installed as a grid system in the $4m{\times}4m$ square area by 1-m interval. For the groundwater characterization, various tests were performed including water-level monitoring, water sampling & analysis, pumping and slug tests, and tracer tests. The aquifer appeared to be unconfined with hydraulic conductivities (K) ranging from $2.6{\times}10^{-4}cm/s$ to $9.5{\times}10^{-3}cm/s$. The average linear velocity of groundwater was estimated to be $2.94{\times}10^{-6}m/s$, and the longitudinal dispersivity of a conservative tracer to be $5.94{\times}10^{-7}m^2/s$. Groundwater plume moves preferentially through the high-K zones, and the relatively high ion concentrations along the low-K zones implying deterred groundwater flow. Consequently, the spatial variation of hydraulic conductivity caused by aquifer heterogeneity and anisotropy appears to be the most important factor to maximize the effect of plume treatment system for application of in-situ groundwater remediation techniques.

A Study on Data Movement Method between For for Cloud Computing (클라우드를 위한 포그 간의 데이터 이동 기법에 관한 연구)

  • Hwang, Chi-Gon;Yoon, Chang-Pyo;Lee, Hae-Jun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.294-296
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    • 2017
  • Cloud computing is a computing technique that uploads all the data from a cloud node to a cloud server and provides it to users as a service. This is difficult to provide services in real time depending on the network conditions. This is because it is necessary to download information to the remote site through the network, not the local area, and to download additional services to provide services in the cloud. So fog computing has been proposed as an alternative. In this paper, we propose an efficient data exchange technique between cloud, fog and user. The proposed fog provides services to users and collects and processes data. The cloud is responsible for the flow of data exchange and control between the fog. We propose a standard method for data exchange. The application for this is to process and service the information generated by the BAN (Body Area Network) in the fog, and the cloud serves as a mediator. This can resolve data heterogeneity between devices or services and provide efficient data movement.

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Effectiveness of Exercise after Lung Cancer Surgery: A Systematic Review in PubMed Database (폐암 수술 후 운동의 효과: PubMed 내 연구에 대한 체계적 문헌고찰)

  • Jerng, Ui Min
    • Journal of Korean Medicine Rehabilitation
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    • v.31 no.1
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    • pp.149-163
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    • 2021
  • Objectives This study is to review the effectiveness of exercise after lung cancer surgery. Methods Relevant randomized controlled trials (RCTs) were searched in PubMed database. The systematic review was conducted through flow diagram. The risk of biases were assessed through the Cochrane guideline. Characteristics and outcomes were extracted from each study. Meta-analyses of forced expiratory volume in one second (FEV1), 6-minute walk test (6MWT), quality of life (QoL), pulmonary complications were conducted. Results 14 RCTs were selected. In meta-analysis, exercise improved FEV1 (mean difference [MD] 0.14; 95% confidence interval [CI] 0.04 to 0.25; p=0.009; I2=55%) and mean change of FEV1 (MD 0.11; 95% CI 0.02 to 0.20; p=0.02; I2=0%). Exercise increased the distance of 6MWT, but there was considerable heterogeneity (MD 45; 95% CI 21.16 to 68.83; p=0.0002, I2=89%). There was no differences in QoL scores by 2 questionnaires (European Organisation for Research and Treatment of Cancer quality of life questionnaire, short form-36). Exercise reduced the duration of hospital stay (MD -3.32; 95% CI -5.27 to -1.36; I2=0%; 2 studies) but not duration of chest tube intubation (MD -1.37; 95% CI -2.81 to 0.06; I2=0%) and incidence of pulmonary complications (pooled risk ratio 0.54; 95% CI 0.23 to 1.30; I2=0%). Conclusions Exercise might reduce the duration of hospital stay after lung surgery. There was not enough evidence to prove improvement of lung function, aerobic capacity, muscle strength, QoL, and decline of pulmonary complications. Low-quality risk of bias, different units or estimation of outcome, different exercise type and duration, heterogeneity among studies make the evidence of effectiveness weak. Future researches are required to redeem these defects.

Single-Cell RNA Sequencing of Bone Marrow Mesenchymal Stem Cells from the Elderly People

  • Dezhou Zhu;Jie Gao;Chengxuan Tang;Zheng Xu;Tiansheng Sun
    • International Journal of Stem Cells
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    • v.15 no.2
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    • pp.173-182
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    • 2022
  • Background and Objectives: Bone marrow mesenchymal stem cells (BMSCs) show considerable promise in regenerative medicine. Many studies demonstrated that BMSCs cultured in vitro were highly heterogeneous and composed of diverse cell subpopulations, which may be the basis of their multiple biological characteristics. However, the exact cell subpopulations that make up BMSCs are still unknown. Methods and Results: In this study, we used single-cell RNA sequencing (scRNA-Seq) to divide 6,514 BMSCs into three clusters. The number and corresponding proportion of cells in clusters 1 to 3 were 3,766 (57.81%), 1,720 (26.40%), and 1,028 (15.78%). The gene expression profile and function of the cells in the same cluster were similar. The vast majority of cells expressed the markers defining BMSCs by flow cytometry and gene expression analysis. Each cluster had at least 20 differentially expressed genes (DEGs). We conducted Gene Ontology enrichment analysis on the top 20 DEGs of each cluster and found that the three clusters had different functions, which were related to self-renewal, multilineage differentiation and cytokine secretion, respectively. In addition, the function of the top 20 DEGs of each cluster was checked by the National Center for Biotechnology Information gene database to further verify our hypothesis. Conclusions: This study indicated that scRNA-Seq can be used to divide BMSCs into different subpopulations, demonstrating the heterogeneity of BMSCs.

A Study on Stability of Marine Embankment Using Reliability Analysis (신뢰성해석을 이용한 호안제체의 안정성에 관한 연구)

  • 박준모;장연수;오세웅
    • Proceedings of the Korean Geotechical Society Conference
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    • 2003.03a
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    • pp.789-796
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    • 2003
  • A reliability analysis is performed to investigate the influence of the uncertainty from the limited in-situ samples and the inherent heterogeneity of the ground on the probability of piping for the marine embankment near shore. The result are compared with those of the deterministic piping stability analysis performed using the fininte element flow analysis. The random variables used are hydraulic conductivity of the ground subsurface and embankment, and the water level of both internal and external side of the embankment. The probability of piping is most sensitive to the mean and standard deviation of internal water level of the embankment among the random variables included in the reliability analysis. It is found that the lower limits of internal water level which satisfies the allowable proability of piping failure for the embankment studied were E.L(-) 1.83m and E.L(-) 1.48m during and after the construction of the embankment, respectively.

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Impact of Different Green-Ampt Model Parameters on the Distributed Rainfall-Runoff Model FLO-2D owing to Scale Heterogeneity (분포형 강우-유출 모형에서 토양도 격자크기 효과가 Green-Ampt 모형의 매개변수와 모의된 강우손실에 미치는 영향)

  • Hwang, Ji-hyeong;Lee, Khil-Ha
    • Journal of Environmental Science International
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    • v.29 no.1
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    • pp.15-23
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    • 2020
  • The determination of soil characteristics is important in the simulation of rainfall runoff using a distributed FLO-2D model in catchment analysis. Digital maps acquired using remote sensing techniques have been widely used in modern hydrology. However, the determination of a representative parameter with spatial scaling mismatch is difficult. In this investigation, the FLO-2D rainfall-runoff model is utilized in the Yongdam catchment to test sensitivity based on three different methods (mosaic, arithmetic, and predominant) that describe soil surface characteristics in real systems. The results show that the mosaic method is costly, but provides a reasonably realistic description and exhibits superior performance compared to other methods in terms of both the amount and time to peak flow.

무심천 유역에 대한 지하수 함양량의 시공간적 변동성 분석

  • Jeong Il-Mun;Kim Nam-Won;Lee Jeong-U;Lee Byeong-Ju
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2006.04a
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    • pp.282-285
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    • 2006
  • This study is to present the method for estimating groundwater recharge with temporal-spatial variability using the SWAT model which can represent the heterogeneity of the watershed. The SWAT model can simulate daily surface runoff, evapotranspiration, soil storage, recharge, and groundwater flow within the watershed. The model was applied to Musimcheon watershed located in the upstream of Mihocheon watershed. Hydrological components were determined for the period 2001 - 2004, and the validity of the results was tested by comparing the estimated runoff with the observed runoff data at the outlet of the catchment. The results of temporal and spatial variations of recharge were presented, This study suggests that variations in recharge can be significantly affected by subbasin slope as well as land use changes.

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A Numerical Study on Solute Transport in Heterogeneous Porous Media

  • Jeong, Woo-Chang;Song, Jai-Woo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2002.05b
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    • pp.1027-1033
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    • 2002
  • The solute transport in a two-dimensional heterogeneous porous medium is numerically studied by using a random walk particle tracking (RWPT) method. Lognormally isotropic hydraulic conductivity fields are generated by using the turning band methods with mean zero and four different values of standard deviation. The numerical transport experiments are carried out to investigate the large time and spatial effects of the variable pore velocity field on solute plumes. The behavior of the solute plume through numerical simulations is presented in terms of longitudinal and transverse spatial moments: displacement of center-of-mass, plume spread variance and skewness coefficient. It was observed that the dispersive behavior of the solute plume is strongly affected by the degree of heterogeneity in the flow domain.

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Anomaly-based Alzheimer's disease detection using entropy-based probability Positron Emission Tomography images

  • Husnu Baris Baydargil;Jangsik Park;Ibrahim Furkan Ince
    • ETRI Journal
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    • v.46 no.3
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    • pp.513-525
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    • 2024
  • Deep neural networks trained on labeled medical data face major challenges owing to the economic costs of data acquisition through expensive medical imaging devices, expert labor for data annotation, and large datasets to achieve optimal model performance. The heterogeneity of diseases, such as Alzheimer's disease, further complicates deep learning because the test cases may substantially differ from the training data, possibly increasing the rate of false positives. We propose a reconstruction-based self-supervised anomaly detection model to overcome these challenges. It has a dual-subnetwork encoder that enhances feature encoding augmented by skip connections to the decoder for improving the gradient flow. The novel encoder captures local and global features to improve image reconstruction. In addition, we introduce an entropy-based image conversion method. Extensive evaluations show that the proposed model outperforms benchmark models in anomaly detection and classification using an encoder. The supervised and unsupervised models show improved performances when trained with data preprocessed using the proposed image conversion method.