• Cartoon and Animation Studies
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• s.14
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• pp.165-176
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• 2008

In the future there would be many kinds of digital images for many industrial markets. 3D stereoscopic images for variable fields; medical operation, film and animation, broadcasting, internet, game, or design for art and architecture. And many people to work about computer programming, and digital image making will concern about it more and more. However, these kinds works and studies are focused on the professional technical fields like 3D display or computer programming technology so far. To revitalize the market of a variable stereoscopic contents, there should build up the foundation for easy processing of the making stereoscopic images. This paper is based on stereoscopic making skills for anaglyph system. An anaglyph system has an old history about making stereoscopic images, and very simple method to produce the stereoscopic images. Particularly this study is focused on color compositing technique, and camera positioning on the compositing system. It will help optimization of the environments to create 3D motion graphic and animation contents.

• Analytical Science and Technology
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• v.16 no.2
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• pp.102-109
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• 2003

Microwave digestion and solid-state extraction were studied for determination of trace aluminum{Al(III)} in human urine samples. A mixed acid of nitric acid and hydrogen peroxide was added to urine samples, organic materials were destructed in a home microwave oven and dried in a drying oven. The dried residues were dissolved in a sulfuric acid solution. The solution was eluted through a XAD-4 resin column adsorbed with 8-hydroxyquinoline(Oxine, HQ). Al(III)-8-hydroxyquinolinate complex was formed in the column and eluted with 0.5 M nitric acid solution. The Al(III) eluted was determined by graphite atomic absorption spectrophotometry. Various experimental conditions of followings were investigated for the optimization : the type of acid to dissolve the residues, the amount of HQ adsorbed on the resin, the pH of sample solutions, the type and concentration of acid to elute the complex from column and so on. The contents of Al(III) in real samples were determinated by a calibration curve method. The recovery in standard spiked samples was 94~101% and the detection limit of this procedure was 0.05 ng/mL.

• Journal of Embryo Transfer
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• v.15 no.3
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• pp.247-253
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• 2000

This study was undertaken to optimize enucleation and reconstitution methods for the production of cloned mice by somatic cell nuclear transfer Outbred ICR mouse oocytes at the metapahse- II stage were retrieved from female mice superovulated by PMSG and hCG. In Experiment 1, oocytes were enucleated in medium supplemented with cytochalasin B (CCB) of 3 levels (0, 7.5 or 15 $\mu\textrm{g}$/mL), and higher rate of encleation was obtained at 7.5 and 15 $\mu\textrm{g}$/mL than at $\mu\textrm{g}$/mL. In Experiment 2, oocytes enucleated in 7.5 $\mu\textrm{g}$/mL CCB-containing medium were reconstituted with different types of somatic cell by following methods; 1) cumulus cells by direct cell injection, 2) cumulus cells by electric fusion (1.25 kV/cm, 2 pulses for each 70 $mutextrm{s}$) or 3) STO cells by the electrofusion. Electrofusion of STO cells with enucleated oocytes yielded the greatest (P<0.05) rate of reconstitution without lysis (76%) than any other combinations. Although significant decrease in the rate of somatic cell introduction was found, the electrofusion of cumulus cells yielded better rate of reconstitution than direct injection (0 vs. 18%). In Experiment 3, the duration of electric stimulation for the fusion was changed to either 50 $mutextrm{s}$ or 90 $mutextrm{s}$, but no significant improvement of reconstitution efficacy was obtained. In conclusion, this study showed that ICR mouse oocytes could be used for the production of reconstituted oocytes and a fusion method of 1.25 KV/cm with 2 pulses using 570 cell was the optimal.

• Korean Journal of Food Science and Technology
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• v.36 no.1
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• pp.9-13
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• 2004

Effective methods for extraction of hot taste component in red (capsaicin) and black (piperine) peppers and simultaneous HPLC analysis were established to estimate level of peppers used. Capsaicin and pipeline contents of red and black peppers were 48.75-87.58 and 2900-5520 mg/100 g, respectively, Contents of capsaicin and pipeline in ramen soup base were $2.47{\pm}1.49mg/100g$ and $46.20{\pm}16.10mg/100g$, and estimated levels of red and black peppers were $4.02{\pm}2.37%$ and $1.23{\pm}0.43%$, respectively, In bowl ramens contents of capsaicin and pipeline were $2.02{\pm}1.18mg/100g$ and $41.98{\pm}23.12mg/100g$, and estimated levels of red and black peppers were $3.28{\pm}1.92%$ and $1.09{\pm}0.60%$, respectively. Capsaicin and piperine contents of hot ramens were $4.83{\pm}2.69 mg/100 g$ and $69.49{\pm}20.03mg/100g$, and estimated levels of red and black peppers were $8.62{\pm}4.42%$ and $1.79{\pm}0.58%$, respectively. In bibimmen, capsaicin content was $14.29{\pm}5.72mg/100g$, and piperine was not detected, an indication that only red pepper was used as hot condiment.

• Korean Journal of Food Science and Technology
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• v.41 no.5
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• pp.498-502
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• 2009

Cornus fructus has been used as a tonic, astringent, and haemostatic agent in Korea, China, and Japan. In this study, the fruit of Cornus officinalis was treated with different osmotic pressures, pH values, heat, and ethanol percentages in order to establish optimum extraction conditions for gallic acid, an example of a hydrolyzable tannin. The extract was analyzed by HPLC and LC-MS/MS to identify the gallic acid. As a result, the highest extraction rate of gallic acid (1.57 mg/g) occurred when the Cornus fructus was extracted with 100% ethanol for 1 hr at $80^{\circ}C$. Also, when it was treated with 70% ethanol for 24 and 48 hr, contents of gallic acid were 1.35 and 1.50 mg/g, respectively.

• Current Research on Agriculture and Life Sciences
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• v.6
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• pp.163-169
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• 1988

This study was conducted to predict the density changes according to concentration and temperature changes under freezing point. This information is needed for the design of freezing equipment and for the efficient utilization of refrigerating system. Orange juice, Apple juice, Grape juice and Sucrose solution were used for the measurement of density in this study at the temperature range from $-5^{\circ}C$ to $-40^{\circ}C$ and at the concentration range from 10 to 40%. The unfrozen water fraction of samples was determined by Heldman's method. The density values were determined by measuring the weight of a frozen solution at each temperature with a known volume. Solutions were placed in the thick-walled aluminum tubes. When the solution was frozen the excess ice was removed with a razor until the surface of the ice was flush with the top of the aluminum tube. The tube and ice were weighted immediately. Knowing the volume, tare weight, and final weight, the density could be determined. With this procedure, the data of density and unfrozen water fraction for fruit juices and sucrose solution were collected. The density prediction models of fruit juices and sucrose solution under freezing point were established by the optimization computer program with measured experimental data.

• Steel and Composite Structures
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• v.34 no.5
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• pp.743-767
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• 2020

Due to the impressive flexural performance, enhanced compressive strength and more constrained crack propagation, Fibre-reinforced concrete (FRC) have been widely employed in the construction application. Majority of experimental studies have focused on the seismic behavior of FRC columns. Based on the valid experimental data obtained from the previous studies, the current study has evaluated the seismic response and compressive strength of FRC rectangular columns while following hybrid metaheuristic techniques. Due to the non-linearity of seismic data, Adaptive neuro-fuzzy inference system (ANFIS) has been incorporated with metaheuristic algorithms. 317 different datasets from FRC column tests has been applied as one database in order to determine the most influential factor on the ultimate strengths of FRC rectangular columns subjected to the simulated seismic loading. ANFIS has been used with the incorporation of Particle Swarm Optimization (PSO) and Genetic algorithm (GA). For the analysis of the attained results, Extreme learning machine (ELM) as an authentic prediction method has been concurrently used. The variable selection procedure is to choose the most dominant parameters affecting the ultimate strengths of FRC rectangular columns subjected to simulated seismic loading. Accordingly, the results have shown that ANFIS-PSO has successfully predicted the seismic lateral load with R² = 0.857 and 0.902 for the test and train phase, respectively, nominated as the lateral load prediction estimator. On the other hand, in case of compressive strength prediction, ELM is to predict the compressive strength with R² = 0.657 and 0.862 for test and train phase, respectively. The results have shown that the seismic lateral force trend is more predictable than the compressive strength of FRC rectangular columns, in which the best results belong to the lateral force prediction. Compressive strength prediction has illustrated a significant deviation above 40 Mpa which could be related to the considerable non-linearity and possible empirical shortcomings. Finally, employing ANFIS-GA and ANFIS-PSO techniques to evaluate the seismic response of FRC are a promising reliable approach to be replaced for high cost and time-consuming experimental tests.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.1
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• pp.579-584
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• 2017

The damper oil seal of a high-speed railway vehicle is made from nitrile butadiene rubber (NBR) in order to prevent lubricant from leaking into the damper and to stop harmful contaminants from entering the external environment while in service. Oil leakage through the seal primarily occurs from fatigue failure of the damper. Cumulative damage of the seal occurs due to the contact force between the rod and the rubber during movement due to track irregularities and cants, among other factors. Thus, the design of the oil seal should minimize the maximum principal strain at weak points. In this study, the optimal cross section of the damper oil seal was found using the multi-island genetic algorithm method to improve the durability of the damper. The optimal shape of the oil seal was derived using process automation and design optimization software. Nonlinear material properties for finite element analysis (FEA) of the rubber were determined by Marlow's model. The nonlinear FEA confirmed that the maximum principal strain at the oil leakage point was decreased 24% between the initial design and the optimum design.

• Journal of KIISE:Software and Applications
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• v.30 no.3_4
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• pp.326-338
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• 2003

The objective of a neural network design and model selection is to construct an optimal network with a good generalization performance. However, training data include noises, and the number of training data is not sufficient, which results in the difference between the true probability distribution and the empirical one. The difference makes the teaming parameters to over-fit only to training data and to deviate from the true distribution of data, which is called the overfitting phenomenon. The overfilled neural network shows good approximations for the training data, but gives bad predictions to untrained new data. As the complexity of the neural network increases, this overfitting phenomenon also becomes more severe. In this paper, by taking statistical viewpoint, we proposed an integrative process for neural network design and model selection method in order to improve generalization performance. At first, by using the natural gradient learning with adaptive regularization, we try to obtain optimal parameters that are not overfilled to training data with fast convergence. By adopting the natural pruning to the obtained optimal parameters, we generate several candidates of network model with different sizes. Finally, we select an optimal model among candidate models based on the Bayesian Information Criteria. Through the computer simulation on benchmark problems, we confirm the generalization and structure optimization performance of the proposed integrative process of teaming and model selection.

• Journal of the Korean Applied Science and Technology
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• v.36 no.4
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• pp.1088-1095
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• 2019

The CKD extract is wastewater from which KCl in CKD has been removed to reuse CKD as a cement raw material, and tried to reuse no extracts due to problems such as wastewater treatment facility expansion. As a result of removing KCl by the ion exchange method, the pH of the extract after ion exchange decreased from 12.7 to less than pH 2, and it was confirmed that H⁺ of the cation exchange resin was dissolved in the extract through ion exchange. In addition, the selectivity of the ion exchange was removed in the order of Ca²⁺, K⁺, it was determined that the increase in the contact time to remove the K⁺ ions. The batch system had a contact time of 6 times or more, compared to the continuous system, and showed 4 times of K⁺ removal efficiency and 7 times of Cl^- removal efficiency. It was showed by analyzing the pH of the extract that more H⁺ of the cation exchange resin was extracted than OH^- of anion exchange resin as the pH of the extract was changed.