• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.797-800
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• 2003

In the current study, the authors propose a method for extracting license plate regions by means of a neural network trained to output the plates center of gravity. The method is shown to be effective. Since the learning pattern presentation positions are defined by random numbers, a different pattern is submitted to the neural network for learning each time, which enables it to form a neural network with high universality of coverage. The article discusses issues of the optimal learning surface for a license plate revered by the learning pattern, the effort of suppression learning of the number and headlight sections, as well as the effect of learning pattern enlargement/reduction and of concentration value conversion. Results of evaluation tests based on pictures of 595 vehicles taken at an underground parking garage demonstrated detection rates of 98.5%.

• Journal of Korean Society on Water Environment
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• v.20 no.4
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• pp.346-351
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• 2004

Because of being produced a great deal of excess sludges from biological wastewater treatment process, the subject regarding treatment and disposal of them has been significantly handled in real plants. It should be considered the alternative treatment with easy operating and cost effective process in rural areas. For the thickening of wasted activated sludge from small scale wastewater treatment facilities, thus, the provisional sludge thickening system was developed by the application of mesh filter module. Three meshes with different pore size(100, 150, $200{\mu}m$) were prepared for filter modules that were used to withdraw effluent from thickening system. A filter module with $100{\mu}m$ mesh was chosen as the most effective thickening material in the viewpoint of volume reduction and effluent quality: the volume reductions of initially injected sludge with 3,600 mg/L and 9,100 mg/L were 95% and 85%, respectively, and the filtered effluents were enough good to be shown below 1.0 mg/L of SS and 1.0 NTU of turbidity. Since the filtration of thickening was influenced by the cake layer formed on mesh filter module and this system was operated in the combination of sludge thickening with gravity settling, the filter modules with smaller pore size and the larger floc size were required for long term operation safely.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.05a
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• pp.22-23
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• 2016

This study aims to derive the optimal condition that ensures the monolithicity of ultra-high performance concrete (UHPC), through the evaluation of bonding shear performance with respect to the time of cold joint occurrence during the placement. From the direct shear test, while the normalized bonding shear strength reduction of UHPC with the delay time of 15 minutes was the lowest at around 8%, a dramatic degradation of bonding shear performance was observed after 15 minutes. XRD analysis of the middle and surface sections was performed in order to analyze the composition of the thin film formed at the surface of UHPC, and as a result, the main ingredient appeared to be SiO₂ from the XRD pattern of middle and surface sections, which is believed to be the result of the rising of SiO₂-based filler, used as anadmixture in this study, toward the surface, due to its low specific gravity.

• Journal of Astronomy and Space Sciences
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• v.34 no.4
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• pp.251-256
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• 2017

The electric coupling between the lithosphere and the ionosphere is examined. The electric field is considered as a timevarying irregular vertical Coulomb field presumably produced on the Earth's surface before an earthquake within its epicentral zone by some micro-processes in the lithosphere. It is shown that the Fourier component of this electric field with a frequency of 500 Hz and a horizontal scale-size of 100 km produces in the nighttime ionosphere of high and middle latitudes a transverse electric field with a magnitude of ~20 mV/m if the peak value of the amplitude of this Fourier component is just 30 V/m. The time-varying vertical Coulomb field with a frequency of 500 Hz penetrates from the ground into the ionosphere by a factor of ${\sim}7{\times}10^5$ more efficient than a time independent vertical electrostatic field of the same scale size. The transverse electric field with amplitude of 20 mV/m will cause perturbations in the nighttime F region electron density through heating the F region plasma resulting in a reduction of the downward plasma flux from the protonosphere and an excitation of acoustic gravity waves.

• Proceedings of the Korea Concrete Institute Conference
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• 2008.04a
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• pp.469-472
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• 2008

As recycled fine aggregate manufacturing technology with exceeding in economical efficiency, reduction efficiency of environmental load and quality improvement effect of recycled fine aggregate, it is to develop dry manufacturing system composed specific gravity separator of high-speed rotation impact type and centrifugal Force Powder Collector, etc. in this study. And it is to verify performance with evaluating quality of recycled fine aggregate. In consequence, it is identify that performance improvement effect of recycled fine aggregate by crushing recycled fine aggregate according to high-speed rotation impact, separating and collecting powder and minuteness dust according to centrifugal Force and mass defect, separating and reclaiming minuteness sand to mass defect.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37A no.9
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• pp.780-785
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• 2012

In the current study, the authors propose a method for extracting license plate regions by means of a neural network trained to output the plates center of gravity. The method is shown to be effective. Since the learning pattern presentation positions are defined by random numbers, a different pattern is submitted to the neural network for learning each time, which enables it to form a neural network with high universality of coverage. The article discusses issues of the optimal learning surface for a license plate covered by the learning pattern, the effect of suppression learning of the number and headlight sections, as well as the effect of learning pattern enlargement/reduction and of concentration value conversion. Results of evaluation tests based on pictures of 595 vehicles taken at an underground parking garage demonstrated detection rates of 98.5%.

• Journal of the East Asian Society of Dietary Life
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• v.8 no.1
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• pp.51-56
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• 1998

In this research, we added 10%, 20% and 30% of white rice powder and colored rice powder to wheat flour, then baked cakes to appraise the quality of each cake by physical and sensory evaluation The resultsare as follows: 1) The specific gravity was increased in order of rice powder-added batters and colored rice powder-added batters. No remarkable difference was found in expansion ratio of cakes except some reduction in 30% rice powder-added cake. 2) Gumminess of cake was higher in the 30% colored rice-added cake Hardness of rice-added cakes was higher than colored rice-added ones. More adding rate of rice, higher hardness of cake. No remarkable difference was found in chewiness, springiness and cohesiveness of cakes 3) In case of color, rice-added cakes showed more L value and less b value than colored rice-added ones. Colored rice-added cakes showed less L value more a value and less b value as adding rate became higher 4) According to the results of sensory evaluation, no remarkable difference was found in the size of a cell and distribution of cells. Crumb and tenderness tended to be lower in rice added cakes than in colored rice added ones. Color was prefered in 30% colored rice added cakes over rice-added cakes and less added colored rice added cakes.

• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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• 2002.10a
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• pp.289-294
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• 2002

Unlike Tubular Steel Tower, This Composite Material Tower is a low-technology Component, whose design is easy to optimize, and which therefore during the design process-lends itself easily as an object for possible cost reduction at very little effort. This may come in useful as the cost of a tower usually significant part of the total cost of a structure. This paper is written by the Composite Materials Tower which loaded Complex loading in Off and On shore. This Composite Material Tower is made by the Method of Filament Winding, and the Component of Composite Material is used by the Roving RS220PE-535. When it loaded Complex trading, there is a results which is bigger than steel tower deflection. We controlled this 1a18e deflection by stiffeners which has thickness 20mm. At last, Off and On Shore Tower which used Composite Materials is compared with Off and On Shore Tower which used Steel.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.7 no.4
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• pp.212-222
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• 2014

In the current study, the authors propose a method for extracting license plate regions by means of a neural network trained to output the plate's center of gravity. The method is shown to be effective. Since the learning pattern presentation positions are defined by random numbers, a different pattern is submitted to the neural network for learning each time, which enables it to form a neural network with high universality of coverage. The article discusses issues of the optimal learning surface for a license plate covered by the learning pattern, the effect of suppression learning of the number and pattern enlargement/reduction and of concentration value conversion. Results of evaluation tests based on pictures of 595 vehicles taken at an under-ground parking garage demonstrated detection rates of 98.5%, 98.7%, and 100%, respectively.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.1 no.3
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• pp.105-109
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• 2008

In the current study, the authors propose a method for extracting license plate regions by means of a neural network trained to output the plate.s center of gravity. The method is shown to be effective. Since the learning pattern presentation positions are defined by random numbers, a different pattern is submitted to the neural network for learning each time, which enables it to form a neural network with high universality of coverage. The article discusses issues of the optimal learning surface for a license plate covered by the learning pattern, the effect of suppression learning of the number and headlight sections, as well as the effect of learning pattern enlargement/reduction and of concentration value conversion. Results of evaluation tests based on pictures of 595 vehicles taken at an underground parking garage demonstrated detection rates of 98.5%.