• The Journal of Korean Association of Computer Education
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• v.9 no.5
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• pp.1-11
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• 2006

This study aims at identifying what effect ARCS model based instruction and cognitive style have on learning motivation and achievement in computer education. In order to accomplish this goal. 70 high school students were randomly allocated into the experiment group and the control group. And each group was divided into field-independent group and field-dependent group. The results were as follows. First, post test of learning motivation among four groups showed that mean differences were statistical significant. Especially 'ARCS model based instruction-field independent group got higher score than 'traditional instruction field dependent' group. Second, post test of learning achievement showed no significant mean difference among four group. The result of the pre and post test difference analysis showed that the change scores of means were significantly different.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.4
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• pp.201-209
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• 2014

Obstructive sleep apnea syndrome(OSAS) is a respiratory disease caused by partial or complete obstruction of the upper airway during sleep. In this paper, we proposed the optical flow method to analyze the upper airway dynamic changes during respiration for children with OSAS and control subjects. We compared the absolute value of difference between inspiration and expiration for airway area analysis method and optical flow method for 5 children with OSAS and 6 control subjects. From the statistical analysis, airway area analysis method and optical flow method are statistically significant at the 0.1 (p value is 0.0977) and 0.01 (p value is 0.0011) significance level respectively. From this simulations, the optical flow method could provide more accurate information to diagnose the OSAS patients than the traditional airway area analysis method.

• Journal of Electrochemical Science and Technology
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• v.6 no.4
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• pp.131-138
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• 2015

Electrical discharge machining is an unconventional machining process in which successive sparks applied to machine the electrically conductive materials. Any changes in electrical discharge machining parameters lead to the pieces with distinct surface roughness. The electrical discharge machining process is well applied for high hardness materials or when it is difficult to use traditional techniques to do material removing. Furthermore, this method is widely applied in industries such as aerospace, automobile, molding, and tool making. CK45 is one of the important steels in industrial and electrical discharge machining can be considered as a proper way for its machining because of high hardness of CK45 after thermal operation of the electrical discharge machining process. Optimization of surface roughness as an output parameters as well as electrical discharge machining parameters including current, voltage and frequency for electrical discharge machining of CK45 has been studied using copper tools and kerosene as the dielectric. For such a purpose and to achieve the precise statistical analysis of the experiment results design of experiment was applied while non linear regression method was chosen to assess the response of surface roughness. Then, the results were analyzed by means of ANOVA method and machining parameters with more effects on the desired outputs were determined. Finally, mathematical model obtained for surface roughness.

• The Journal of Korean Association of Computer Education
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• v.5 no.4
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• pp.99-109
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• 2002

The purpose of the research undertaken for this paper was to demonstrate the effects of WBI on students' achievement and their reactions. WBI was adapted for use on the lesson Theme of Poems in Korean textbook for Middle School second graders. Hypothesis 1 was that there would be meaningful differences in students' achievement between the experimental group using WBI and the controlled group in a traditional instructive class. And the statistical calculations showed that the experimental group produced larger numbers in terms of both the average and standard deviation. Hypothesis 2 was that there would be the more highly rated outcomes from the experimental group applying WBI for students' interest, understanding, and concentration. The responses to a Questionnaire concerning stated items showed significant differences in favor of WBI class. Based on these analyses, this thesis represents an effort to potential application of WEI to learning of Poems, in light of research evidence that reveals its respective effect to further students' achievement and interest.

• Journal of the Korean Data and Information Science Society
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• v.28 no.3
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• pp.533-545
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• 2017

Quantile regression models provide a variety of useful statistical information by estimating the conditional quantile function of the response variable. However, the traditional linear quantile regression model can lead to the distorted and incorrect results when analysing real data having a nonlinear relationship between the explanatory variables and the response variables. Furthermore, as the complexity of the data increases, it is required to analyse multiple response variables simultaneously with more sophisticated interpretations. For such reasons, we propose a multivariate quantile regression tree model. In this paper, a new split variable selection algorithm is suggested for a multivariate regression tree model. This algorithm can select the split variable more accurately than the previous method without significant selection bias. We investigate the performance of our proposed method with both simulation and real data studies.

• Culinary science and hospitality research
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• v.22 no.2
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• pp.176-188
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• 2016

The main purposes of this study is to examine a local restaurants menus' importance and satisfaction of the servicescape. Survey was collected by December 1 through December 31 2015, in the region Kijang County. the data from this survey were analyzed by using various statistical techniques including frequency tables, factor analysis, reliability test, and IPA. Results of IPA analysis showed that menu consisted of local products is the highest average value, and it means the local food restaurants need to use the nostalgic marketing techniques. In addition, menus are currently for sale in order to attract continuing foreign tourists as perceived by Busan residents Kijang. Therefore, the local food restaurants need to revive the traditional flavors and recipes coming down area from ancient times. Based on these results, this study will contribute to provide fundamental information for developing marketing strategies especially local food restaurants.

• Journal of Institute of Control, Robotics and Systems
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• v.21 no.9
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• pp.875-880
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• 2015

Traditional semiconductor process control has been performed through statistical process control techniques in a constant process-recipe conditions. However, the complexity of the interior of the etching apparatus plasma physics, quantitative modeling of process conditions due to the many difficult features constraints apply simple SISO control scheme. The introduction of the Advanced Process Control (APC) as a way to overcome the limits has been using the APC process control methodology run-to-run, wafer-to-wafer, or the yield of the semiconductor manufacturing process to the real-time process control, performance, it is possible to improve production. In addition, it is possible to establish a hierarchical structure of the process control made by the process control unit and associated algorithms and etching apparatus, the process unit, the overall process. In this study, the research focused on the methodology and monitoring improvements in performance needed to consider the process management of future developments in the semiconductor manufacturing process in accordance with the age of the APC analysis in real applications of the semiconductor manufacturing process and process fault diagnosis and control techniques in progress.

• Journal of Korean Biological Nursing Science
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• v.9 no.2
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• pp.118-124
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• 2007

Purpose: The purpose of this study was to compare three surgical scrub methods-4% chlorhexidine gluconate(CHG) with brush, 4% CHG without brush, and waterless scrub using 1% CHG and 61% ethanol combination(alcohol-based agent)-for antimicrobial efficacy. Method: "Glove-juice technique" was used to evaluate microbial hand counts before surgical scrubs, 1 min and 3 hr after surgical scrubs. Result: Waterless scrub using CHG and ethanol combination resulted in a 4.8-log reduction at 1 min and 4.0-log reduction at 3 hr. CHG without brush resulted in a 4.7-log reduction at 1 min and 3.3-log reduction at 3 hr. The traditional scrub using CHG with brush resulted in a 3.6-log reduction at 1 min and 0.8-log reduction at 3 hr. The waterless scrub and CHG without brush showed significantly higher log reduction(p<.05) than CHG with brush at 1 min and 3 hr after surgical scrub. Waterless scrub showed greater log reductions than CHG without brush, but there was no statistical difference between the two groups. Conclusion: Waterless scrub using alcohol-based agent showed more persistent and immediate antimicrobial efficacy than either CHG with brush or CHG without brush.

• Toxicological Research
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• v.21 no.4
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• pp.309-318
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• 2005

Rhus verniciflua Stokes (RVS) has been used as a food supplement and a traditional herbal medicine. In this study, we prepared various flavonoid fractions (RS, RW1, RW2 and RWE) from a hot water extract of RVS and their influence on male reproductive organs and spermatogenesis were studied in rats which were orally administered 200 mg/kg of them for 8 weeks. All experimental groups did not show any significant changes in body weight and blood clinical chemistry for liver function. Plasma testosterone level was elevated about 3.7, 5.2 and 6.3 folds in RW1, RW2 and RWE groups, respectively. The weights of testes and epididymides tended to increase slightly without the statistical significance in RW2 and RWE. The spermatozoon motility and epididymal sperm concentration were significantly increased (P<0.05) in RWE and RW1, respectively, when compared to the control group. There was no significant difference in histology and apparent shape of testes and epididymides among the control and the experimental groups. Collectively, RWE showed effectively the elevation of plasma testosterone level, spermatozoon motility and the epididymal sperm concentration without the significant increase of testis and epidiymides weights. When the component HPLC profile among the flavonoids fractions of RVS was compared, the ratio of components were only different. These findings suggest that the Rhus flavonoid fraction, particularly RWE, can stimulate the androgen-dependent male sexual function and it can be applied to the material of functional food for enhancing the sexual function.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.6
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• pp.2480-2496
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• 2020

Considering that high-dose X-ray radiation during CT scans may bring potential risks to patients, in the medical imaging industry there has been increasing emphasis on low-dose CT. Due to complex statistical characteristics of noise found in low-dose CT images, many traditional methods are difficult to preserve structural details effectively while suppressing noise and artifacts. Inspired by the deep learning techniques, we propose a densely connected residual network (DCRN) for low-dose CT image noise cancelation, which combines the ideas of dense connection with residual learning. On one hand, dense connection maximizes information flow between layers in the network, which is beneficial to maintain structural details when denoising images. On the other hand, residual learning paired with batch normalization would allow for decreased training speed and better noise reduction performance in images. The experiments are performed on the 100 CT images selected from a public medical dataset-TCIA(The Cancer Imaging Archive). Compared with the other three competitive denoising algorithms, both subjective visual effect and objective evaluation indexes which include PSNR, RMSE, MAE and SSIM show that the proposed network can improve LDCT images quality more effectively while maintaining a low computational cost. In the objective evaluation indexes, the highest PSNR 33.67, RMSE 5.659, MAE 1.965 and SSIM 0.9434 are achieved by the proposed method. Especially for RMSE, compare with the best performing algorithm in the comparison algorithms, the proposed network increases it by 7 percentage points.