• Journal of Korean Ophthalmic Optics Society
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• v.21 no.2
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• pp.153-158
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• 2016

Purpose: This study was aimed to investigate effects of breath alcohol concentration (BrAC) increase on visual field and readable visual field. Methods: 23 males in 20s (average age $21.17{\pm}2.19years$, body mass index (BMI) $22.09{\pm}2.16$) were selected and administered the amount of alcohol to reach 0.05% and 0.08% BrAC calculated by BAC (blood alcohol concentration) Dosing Software program. Then, visual field and readable visual field test with Vision Disk were conducted. Results: Visual field are measured as $74.41{\pm}15.97^{\circ}$, $64.98{\pm}17.93^{\circ}$, and $58.33{\pm}19.01^{\circ}$ (p=0.000) and readable visual field as $21.93{\pm}12.71^{\circ}$, $17.41{\pm}11.36^{\circ}$, $14.26{\pm}9.93^{\circ}$ (p=0.006) in 0.00%, 0.05% and 0.08% BrAC respectively. As breath alcohol concentration increased, both visual field and readable visual field decreased. Conclusions: BrAC increase with drinking could be the cause of safety accident by decreasing visual field and readable visual field, it is necessary to raise awareness.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.35 no.3
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• pp.216-222
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• 2002

Autocorrelation in time series data can affect statistical inference in correlation or regression analyses. To improve a regression model from which the residuals are autocorrelated, Yule-Walker method, nonlinear least squares estimation, maximum likelihood method and 'prewhitening' method have been used to estimate the parameters in a regression equation. This study reviewed on the estimation methods of preventing spurious correlation in the presence of autocorrelation and applied the former three methods, Yule-Walker, nonlinear least squares and maximum likelihood method, to a 20-year real data set. Monte carlo simulation was used to compare the three parameter estimation methods. However, the simulation results showed that the mean squared error distributions from the three methods simulated do not differ significantly.

• Korean Journal of Agricultural Science
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• v.49 no.2
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• pp.269-284
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• 2022

The development of radish collectors has the potential to increase radish yields while decreasing the time and dependence on human labor in a variety of field activities. Stress and fatigue analyses are essential to ensure the optimal design and machine life of any agricultural machinery. The objectives of this research were to analyze the stress and fatigue of major components of a tractor-mounted radish collector under dynamic load conditions in an effort to increase the design dependability and dimensions of the materials. An experiment was conducted to measure the shaft torque of stem-cutting and transferring conveyor motors using rotary torque sensors at different tractor ground speeds with and without a load. The Smith-Watson-Topper mean stress equation and the rain-flow counting technique were utilized to determine the required shear stress with the distribution of the fatigue life cycle. The severity of the operation was assessed using Miner's theory. All running conditions produced more than 10⁷ of high cycle fatigue strength. Furthermore, the highest severity levels for motor shafts used for stem cutting and transferring and for transportation joints and cutting blades were 2.20, 4.24, 2.07, and 1.07, and 1.97, 3.81, 1.73, and 1.07, respectively, with and without a load condition, except for 5.24 for a winch motor shaft under a load. The stress and fatigue analysis presented in this study can aid in the selection of the most appropriate design parameters and material sizes for the successful construction of a tractor-mounted radish collector, which is currently under development.