• The Journal of Korean Physical Therapy
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• v.12 no.1
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• pp.33-40
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• 2000

This study was carried out to compare the relation between vestibular function and balance skills in normal with heating-impaired children. The subjects were 20 normal children (8-10 years) and 20 hearing-impaired children (8-10 years). The SCPNT was used to assess vestibular function, then, functional reach test and backward walking test were usee to compare dynamic balance skills of normal and hearing-impaired children according to existence of visual input. The results were as follows : 1. In SCPNT, normal and hearing-impaired children showed statistical significance in all left-sided and right-sided rotations(p<.01), and the vestibular function responses of healing-impaired children were normal $20\%$, abnormal $45\%$, absent $35\%$. 2, To compare dynamic balance skills between normal and healing-impaired according to eye open and eye close, functional reach test did not show statistical significance in eye open situation(p>.05), but showed statistical significance in eye close situation(p<.05). 3. Backward walking test showed statistical significance in eye open and eye close situation(p<.01).

• Journal of the Korea Society of Computer and Information
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• v.21 no.12
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• pp.35-41
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• 2016

In this paper, we propose a new real-time dead pixel detection method based on spatial compare filtering, which are usually used in the small target detection. Actually, the soft dead and the small target are cast in the same mold. Our proposed method detect and remove the dead pixels as applying the spatial compare filtering, into the pixel outputs of a detector after the non-uniformity correction. Therefore, we proposed method can effectively detect and replace the dead pixels regardless of the non-uniformity correction performance. In infrared camera, there are usually many dead detector pixels which produce abnormal output caused by manufactural process or operational environment. There are two kind of dead pixel. one is hard dead pixel which electronically generate abnormal outputs and other is soft dead pixel which changed and generated abnormal outputs by the planning process. Infrared camera have to perform non-uniformity correction because of structural and material properties of infrared detector. The hard dead pixels whose offset values obtained by non-uniformity correction are much larger or smaller than the average can be detected easily as dead pixels. However, some dead pixels(soft dead pixel) can remain, because of the difficulty of uncleared decision whether normal pixel or abnormal pixel.

• The Journal of Korean Academy of Prosthodontics
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• v.35 no.3
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• pp.535-543
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• 1997

In order to compare the accuracy of impression technique using the addition silicone putty and improved heavy body material, impression were taken for the natural 6 maxillary anterior teeth, and for the metal mast model that has full arch shape with 4 cylindrical abutment teeth. Marginal gingiva was retracted by routine method using retraction cord, and two techniques were tried to compare the length of impression materials in the gingival sulcus. This was aimed to see the effect of viscosity and hydraulic pressure of impression materials for the subgingival impression. Impressions for the full arch-shaped metal master model were taken to compare the linear stability of the different impression materials and their related techniques. The conclusions were as belows : 1. The one-step impression technique showed longer extension of impression material in gingival sulcus than two-step impression technique. 2. High viscosity and hydraulic pressure of impression material were useful to take subgingival impression. 3. There was no statistically significant difference for the two-dimensional accuracy of impression technique, but two-step technique showed better trend than one-step technique.

• Proceedings of the KIEE Conference
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• 2003.07b
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• pp.1256-1258
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• 2003

The solar cells should be operated at the maximum power point because its output characteristics are greatly fluctuate on the variations of insolation, temperature and loads. To obtain maximum power from solar cell, photovoltaic system cell power system usually requires maximum power point tracking controller. This paper propose Maximum power point tracking method using zero slope of differential value of maximum power. The power compare method traces to maximum power point rapidly but oscillate on the maximum power point largely, when quantity insolation variation is big. The power compare method is traces to maximum power point slowly but oscillate maximum point on the maximum power point smally, when quantity insolation variation is small. To solve two problem of the power compare method, designed zero slope of differential value of maximum power.

• Korean Journal of Applied Biomechanics
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• v.28 no.2
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• pp.119-125
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• 2018

Objective: The purpose of this study was to compare the effect of different 12-week exercise programs for posture correction on postural alignment in elderly women. Method: The study included 36 elderly women who were randomly divided into 3 groups: Group A (core exercise, n=12), Group B (combined exercise, n=12), and Group C (Pilates exercise, n=12). Postural alignment was measured using 6 variables in frontal and sagittal planes. Two-way mixed analysis of variance was used to compare the effect of exercise program types on postural alignment and a paired t-test was used to compare differences in postural alignment after exercise. Results: The core exercise group showed statistically significant improvement (p<.05) in multiple upper and lower body postural alignment measurements. The combined exercise and Pilates exercise groups showed statistically significant improvement (p<.05) in upper body measurements alone. Conclusion: Core exercise, combined exercise, and Pilates exercise improved postural alignment in elderly woman through improvement in muscle strength and ligament flexibility around the spine and pelvis.

• Journal of Physiology & Pathology in Korean Medicine
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• v.21 no.3
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• pp.705-708
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• 2007

The objective of the study was to observe the anti-diabetic effect of Solani nigri Herba(SH). The following experimental results were derived from the measurement of the levels of glucose, GOT and GPT in the serum and weight from a group of experimental rats by way of the injection of streptozotocin as well as the oral administration of Solani nigri Herba water extracts. The glucose level in the serum significantly decreased in the Solani nigri Herba-dosed group(SH2,12.6 mg/100 g rat weight) on the 10th day. The GOT level of SHI(4.2 mg/100 g Solani nigri Herba) and SH2 in the serum slightly decreased, but no significance to compare with control group. The GPT level of SH1 and SH2 in the serum slightly decreased, but no significance to compare with control group. The weight of rat of SH1 and SH2 in the serum slightly increased, but no significance to compare with control group. In conclusion, Solani nigri Herba appeared to have significance inhibitory effects on the rise of blood sugar level in the experimentally induced diabetics.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.1
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• pp.106-114
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• 2019

Recently, the manufacturing process system in the industrial field has become more and more complex and has been influenced by many and various factors. Moreover, these factors have the dependent correlation rather than independent of each other. Therefore, the statistical analysis has been extended from the univariate method to the multivariate method. The process capability indices have been widely used as statistical tools to assess the manufacturing process performance. Especially, the multivariate process indices need to be enhanced with more useful information and extensive application in the recent industrial fields. The various multivariate process capability indices have been studying by many researchers in recent years. Hence, the purpose of the study is to compare the useful and various multivariate process capability indices through the simulation. Among them, we compare the useful models of several multivariate process capability indices such as $MC_{pm}$, $MC^+_{pm}$ and $MC_{pl}$. These multivariate process capability indices are incorporates both the process variation and the process deviation from target or consider the expected loss caused by the process deviation from target. Through the computational examples, we compare these process capability indices and discuss their usefulness and effectiveness.

• The Korean Journal of Health Service Management
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• v.12 no.2
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• pp.89-99
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• 2018

Objectives : To compare the degree of achievement of Universal Health Coverage (UHC) among 39 developing countries in Africa and to investigate the correlation between health care financing and the UHC index. Methods : For data, 14 UHC indexes were used in 2015 supplied by the World Health Organization (WHO). In addition, this study used a 10% of threshold point corresponding to the catastrophic health expenditures and a 25% of threshold points as a health care financing index. Results : It was found that there were significant difference among Least Low Developed Countries (LLDCs), Other Low Income Countries (Other LICs), Lower Middle Income Countiies (LMICs), Upper Middle Income Countires (UMICs) to compare the average value by nation on the UHC index. This study showed that the UHC index of LLDCs was lowest, but the average value was higher as it moved towards LMICs and UMICs. In addition, it was found that there was an average value difference among the groups like LLDCs, Other LICs, LMICs and UMICs. As a result of comparison, it was found that the spending of household health expenditure increased as LLDCs moved towards UMICs when the burden of household health expenditure was 25%. Conclusions : This study aimed to compare the UHC indexes of African nations and to investigate the correlation between the degree of spending of total expenditure on health and burden of household health expenditure and UHC, and its effect.

• The Journal of Economics, Marketing and Management
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• v.8 no.3
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• pp.9-21
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• 2020

Purpose: Previous literature shows that a price promotion serves as a negative cue of product quality especially when consumers have no additional information about the product's other attributes. In this research, we explore how the effect of price promotions on consumers' perceptions of product quality changes depending on their ability to compare promoted product attributes with competitive products' attributes. Research design, data and methodology: Specifically, we use a series of scenario-based lab experiments using different types of products and explore if attribute alignability among competing products in a consumer's choice set influences consumers' ability to compare the product attributes and perceived quality. Results: Our study findings show that high attribute alignability among products makes consumers easier to compare the product attributes and thereby focus more on non-price information than price information. We also show that attribute alignability serves as a moderator and decreases perceived quality when the promotion level is higher. Therefore, the attribute alignability weakens the negative impact of a price promotion on consumers' perceived product quality. Conclusions: Our study findings provide new insights on how to implement price promotion strategies while keeping products' perceived quality, by considering the product's relationships with competing products in a choice set.

• Communications for Statistical Applications and Methods
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• v.28 no.2
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• pp.189-204
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• 2021

In a regression analysis, a single best model is usually selected among several candidate models. However, it is often useful to combine several candidate models to achieve better performance, especially, in the prediction viewpoint. Model combining methods such as stacking and Bayesian model averaging (BMA) have been suggested from the perspective of averaging candidate models. When the candidate models include a true model, it is expected that BMA generally gives better performance than stacking. On the other hand, when candidate models do not include the true model, it is known that stacking outperforms BMA. Since stacking and BMA approaches have different properties, it is difficult to determine which method is more appropriate under other situations. In particular, it is not easy to find research papers that compare stacking and BMA when regression model assumptions are violated. Therefore, in the paper, we compare the performance among model averaging methods as well as a single best model in the linear regression analysis when standard linear regression assumptions are violated. Simulations were conducted to compare model averaging methods with the linear regression when data include outliers and data do not include them. We also compared them when data include errors from a non-normal distribution. The model averaging methods were applied to the water pollution data, which have a strong multicollinearity among variables. Simulation studies showed that the stacking method tends to give better performance than BMA or standard linear regression analysis (including the stepwise selection method) in the sense of risks (see (3.1)) or prediction error (see (3.2)) when typical linear regression assumptions are violated.