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218. Identifying two-dimensional characteristics of surface water hydraulics in an irrigated paddy field

Author

Kang, Min Goo, Park, Seung Woo, and Park, Jong Min

Subjects
Drainage -- Design and construction, Hydrodynamics -- Research, Irrigation -- Models, Irrigation water -- Properties, Irrigation engineering -- Research, Hydrofoil boats -- Hydrodynamics, Hydrofoil boats -- Research, Engineering and manufacturing industries, Science and technology
Abstract

To efficiently manage the water supply for paddy rice and to reduce the inundation damage from floods, it is necessary to enhance our understanding of the characteristics of the surface water hydraulics in an irrigated paddy field. In this study, a two-dimensional numerical model is used, and the model's applicability for simulating surface irrigation and drainage is evaluated. The model's Manning roughness coefficient is estimated, taking into account the growth stage of the paddy rice; the simulation results are in good agreement with the observations. Model simulations reveal that the initial ponding depth affects the wave propagation and the increase in water depth during irrigation. There are few differences in piezometric heads among the positions except for those close to the outlets during drainage. Constructing drainage ditches in a paddy field reduces the drainage time to 24 h. Also, the study results reveal that it is preferable to determine the appropriate water management measures by considering the characteristics of the surface water hydraulics of paddy fields to reduce costs and labor input. DOI: 10.1061/(ASCE)IR. 1943-4774.0000016 CE Database subject headings: Surface water; Numerical models; Drainage; Soil consolidation; Water supply; Floods.

Published
2009

220. Additional file 1 of Quantitative analysis of galactose using LDI-TOF MS based on a TiO2 nanowire chip

Author

Noh, Joo-Yoon, Kim, Moon-Ju, Kim, Mira, Kim, Jo-Il, Park, Jong-Min, Yun, Tae Gyeong, Kang, Min-Jung, and Pyun, Jae-Chul

Abstract

Additional file 1. Figure S1. Reproducibility analysis using LDI-TOF Mass spectrometry based on TiO2 nanowire chip. (a) Inter-spot measurements for five independent sample spots (n = 150 shots). (b) intra-spot measurements for five independent sample positions (n = 150 shots). Figure S2. Quantitative analysis of galactose using LDI-TOF MS based on the TiO2 nanowire chip. (a) Mass spectra of OPD assay products at different galactose concentrations in PCB buffer. (b) Mass spectra of OPD assay products at different galactose concentrations in serum after methanol extraction. (c) Mass spectra of OPD assay products at different galactose concentrations in dried blood spot after methanol extraction. Figure S3. Selectivity analysis of the OPD assay for galactose measurement under the interference of glucose. (a) OPD assay at different concentrations of galactose and a fixed concentration of glucose (541.0 ��g/mL). (b) OPD assay at different concentrations of glucose and a fixed concentration of galactose (33.4 ��g/mL).

Published
2021
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226. Soft magnetic composites with improved heat resistance and mechanical strength realized using Fe@SiO2 powders with a variable thickness insulation layer.

Author

Jang, Min-Sun, Park, Jong-Min, Kang, Jinho, Sun, Changhyo, Koo, Bonuk, Kim, Hea‐Ran, Kwon, Young-Tae, Yang, Sangsun, Kim, Yunseok, and Jeong, Jae Won

Subjects
*THERMAL insulation, *EDDY current losses, *POWDERS, *HYDROLYSIS, *HEAT treatment, *FLEXURAL strength, *ETHYL silicate
Abstract

Here, we demonstrate a novel Fe@SiO2-powder-based soft magnetic composite that can withstand high-temperature heat treatment and that exhibits unprecedented mechanical strength. Fe@SiO2 powders are prepared by forming a uniform and continuous SiO2 insulation layer on the surface of Fe powder through sol–gel method based on a hydrolysis and condensation reaction mechanism. The sol–gel kinetics responded with a different tetraethyl orthosilicate (TEOS) concentration in the solution from 0.01 to 0.25 ml/g; SiO2 reactant is produced at different rates and accumulates at different thicknesses on the surfaces of Fe powders. The SMC core with dense and uniform SiO2 insulating layer contributes to better magnetic performance, including much higher electrical resistance, lower eddy current loss, and better frequency stability compared to those characteristics of the conductive Fe-based powder core. Furthermore, Fe@SiO2 SMC maintains its internal insulation matrix and low core loss even after high-temperature heat treatment, which densifies the SiO2 insulation layer and greatly enhances the mechanical strength of the SMCs. As a result, the Fe@SiO2 SMC core with an optimally controlled insulation thickness not only demonstrated a remarkably low core loss of 98 W/kg at 1 kHz and 500 mT but also a high mechanical flexural strength of 82 MPa, attributable to the uniform and dense internal SiO2 insulating matrix with high-temperature annealing resistance. [ABSTRACT FROM AUTHOR]

Published
2022
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237. Convergence and application of online active sampling using orthogonal pillar vectors

Author

Park, Jong-Min

Subjects
Machine vision -- Research
Abstract

The analysis of convergence and its application is shown for the Active Sampling-at-the-Boundary method applied to multidimensional space using orthogonal pillar vectors. Active learning method facilitates identifying an optimal decision boundary for pattern classification in machine learning. The result of this method is compared with the standard active learning method that uses random sampling on the decision boundary hyperplane. The comparison is done through simulation and application to the real-world data from the UCI benchmark data set. The boundary is modeled as a nonseparable linear decision hyperplane in multidimensional space with a stochastic oracle. Index Terms--Active learning, machine learning, pattern classification.

Published
2004

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