• Journal of Power System Engineering
• /
• v.11 no.4
• /
• pp.86-91
• /
• 2007

This study was investigated to know the effect of subzero treatment in austempered ductile cast iron. Retained austenite transformed to martensite by subzero treatment. With decreasing subzero treatment temperature, more volume fraction of retained austenite transformed to martensite and transformed to martensite above 30% by subzero treatment temperature at $-196^{\circ}C$. With decreasing subzero treatment temperature, the value of strength and hardness increased but the value of elongation and impact value decreased. In case of subzero treatment at $-196^{\circ}C$, hardness value increased about 18% and impact value decreased by above 20%. We could find that subzero treated specimens had a little of effect on the tensile properties but had very much effect on the hardness and value of the impact.

• Journal of Distribution Science
• /
• v.9 no.1
• /
• pp.39-48
• /
• 2011

One of the major reasons for fierce competition among firms is that they strive to increase their own market shares in the same market with similar and apparently undifferentiated products in terms of quality and perceived benefit. Due to such changes in the marketing environment, differentiated after-sales service and diversified promotion strategies have become more important in the race to gain a competitive advantage. Price discount is one of the popular promotion strategies that most retailers use, especially to increase sales, but offering a price discount does not always lead to the expected result. If marketers apply an identical price-promotion strategy without considering the characteristic differences in products and consumer preferences, the discounted price itself may make people skeptical about the quality of the product. Moreover, the changes in perceived value may appear differently depending on factors such as consumer involvement. This implies that variables such as the level of consumer involvement, brand loyalty, and external reference prices, in reality, would have different effects on how consumers perceive the value of price discounts. The variables that affect consumers' perceived values and buying decisions are diverse and complicated. Several studies have examined the effects of such variables as external reference price, selling price, and brand on consumers' perceived value of products. Results have not shown consistent patterns. Therefore, we must note that the factors affecting consumers' value perceptions and buying behaviors are diverse and that the results of studies on the same dependent variable come out differently depending on what that variable is. This study focused on the level of consumer involvement as a salient variable that supposedly affects the perceived value of a product, willingness to buy, and search intentions. We tried to examine whether a price discount affects the perceived value-such as perceived acquisition value and perceived transaction value-in different ways depending on the level of consumer involvement. In addition, we proposed managerial implications that marketers need to consider as a whole, for instance, product attributes, brand loyalty, and involvement and then established a differentiated pricing strategy, case by case, in order to effectively enhance consumers' perceived values. As a result, we found that perceived transaction value positively affects perceived acquisition value and when discounting the price of a high-involvement product enhances the consumer's willingness to buy, but perceived acquisition value does not affect the search intentions significantly. In the case of discounting prices of low-involvement products, on the other hand, the perceived transaction value has a positive effect on the willingness to buy, but the negative effect of perceived acquisition value on the search intentions was not significant. We suppose that people doubt a product's quality because of a declined perceived quality derived from a price discount. Even though the price discount enhanced the transaction value, people eventually increased their level of searching for additional product information. From the results of this study, we suggest that marketers ought to establish an appropriate value-enhancing strategy based on the understanding of which perceived value consumers rely on more when they conduct purchasing behavior because consumers perceive the degree of importance of acquisition value or transaction value differently, depending on their level of involvement.

• Proceedings of the CALSEC Conference
• /
• 2002.01a
• /
• pp.340-342
• /
• 2002

ASP Value Chain Modeling ㆍ The Value Chain of ASP Player ㆍ The Value Chain of ASP Customer Successful ASP Delivering Model ㆍ Enterprise ASP Remodeling ㆍ ASP Market Prediction(omitted)

• Kyungpook Mathematical Journal
• /
• v.45 no.3
• /
• pp.339-348
• /
• 2005

In this paper, we discuss the value distribution of the derivative of a meromorphic function.

• Journal of Nutrition and Health
• /
• v.16 no.1
• /
• pp.1-9
• /
• 1983

An investigation was made of the effect of carrot variety and harvest time (DAP) on the composition of carotenoids and the Retinol Equivalent value by column chromatography, and of the relation of the total carotenoid content to the Retinol Equivalent by regression analysis. The results are summarized as follows : 1. There were very significant differences of total carotenoid, ${\alpha}-carotene,\;and\;{\beta}-carotene$ contents among carrot varieties and between two harvest times(90 DAP, 99 DAP). Especially, each component of carotenoids in carrots harvested at 99 DAP attained higher concentrations than 90 DAP. 2. Retinol Equivalent value showed the tendency to increase as the numbers of DAP incr The Shindaehyung-Ochon and Hongshim-Ochon varieties had the highest RE. value. 3. In the composition of carotenoids and Retinol Equivalent value, the Shamgae-Ochon variety had the nearest value to the mean of all variety. Therefore, it is most reasonable to use the Shamgae-Ochon variety for the analysis of vitamin A value in carrots. 4. The regression of the totel carotenoid (x) to the Retinol Equivalent (y) was y = 0.074 + 0.12x $(r^2$ = 0.91). So, if total carotenoid content is determined, R.E. value can be predicted by this regression equations, saving time and labor.

• The Journal of the Korean life insurance medical association
• /
• v.2 no.1
• /
• pp.143-151
• /
• 1985

In medical selection of Daehan Education Insurance, We doubted that 140 cases(male 117 cases, female 23 cases) might have the fatty infiltration of the liver by ultrasonography. We examined the weight and the hypertension of 140 patients by biochemically analyzing the blood extracted under fasting according to the age-distribution. The results are as follows: 1. 90% out of them had body weight than normal subject. 34.29% out of them were hypertension patients and most of them were $30{\sim}39's$ and $40{\sim}49's$. 2. As compared with the normal subjects in serum lipid value, HDL cholesterol value was low, but total cholesterol, Triglyceride, phospholipid and total lipid value were significantly high. Especially the statistical value of Triglyceride was very significantly high. 3. Total abnormal rate of sGOT value in Liver function test is 34.43% and the mean value of it is 66 unit and the abnormal rate of sGPT value is all 3.14% and the value of it is 70 unit. 4. The abnormal rate of Alkaline phosphatase value is 9.29% and the abnormal rate of total Bilirubine value is 14.29%. As HBsAg positive rate is 2.14% and HBs Ab positive rate is 31.43%, the positive rate of HBsAg represents Lower positive rate than Korean mean value. 5. The abnormal rate of the fasting blood glucose is 15.00% and the abnormal rate of Blood sugar pc 2hrs is 30.71%. 6. The abnormal case of protein, Albumin, Globulin, BUN, craetinine and Hemoglobin value was not found to any of them and in the above liver function test except serum lipid value, the rate not showing the abnormal value represents 45.3%(male) and 52.17%(female).

• Journal of Technologic Dentistry
• /
• v.36 no.1
• /
• pp.1-7
• /
• 2014

Purpose: The aim of this study was analyzed by comparing the effect of glass fiber reinforcement addition on the strength of resin denture base. It was intended to provide a reference data useful for clinical application. Methods: The test specimens (length $64.0{\pm}0.1mm$, width $10.0{\pm}0.1mm$, thickness $1.0{\pm}0.1mm$, $1.5{\pm}0.1mm$, and $2.0{\pm}0.1mm$ respectively) were made. In the experimental groups resin denture base reinforced with glass fiber were fabricated. In the control groups resin denture base were fabricated by conventional method. After specimen fabrication was completed, transverse test was performed using a universal testing machine. Results: The transverse strength value in CON group was $83.08{\pm}9.07MPa$ for 1.0 mm, which ranked the highest in value. On the other hand, the value was $56.07{\pm}5.15MPa$ for 2.0mm, which ranked the lowest in value. And CON+SES group was $119.80{\pm}30.70MPa$ for 1.0mm, which ranked the highest in value. On the other hand, the value was $84.00{\pm}7.97MPa$ for 2.0mm, which ranked the lowest in value. Also, the flexural modulus value in CON group was $2,983.10{\pm}506.92MPa$ for 1.0mm, which ranked the highest in value. On the other hand, the value was $1,257.64{\pm}230.48MPa$ for 2.0mm, which ranked the lowest in value. And CON+SES group was $4,679.41{\pm}1578.29MPa$ for 1.0mm, which ranked the highest in value. On the other hand, the value was $2,512.36{\pm}527.09MPa$ for 2.0mm, which ranked the lowest in value. Conclusion: The reinforced glass fiber increased the strength of resin denture base, effected to reduce the thickness of resin denture base.

• Child Health Nursing Research
• /
• v.7 no.2
• /
• pp.179-190
• /
• 2001

The purposes of the study were to develop an instrument for family value and to identify the relationships of family value, family hardiness, and family adaptation by appling the family value scale to family with cancer children. The study was conducted in three phases. 1) A survey was conducted from July 20 to August 20, 1999 and 18 items of general family value scale was modified from the data of 153 fathers and 164 mothers. 2) In-depth interviews were made with 29 parents of cancer children from April 20, 1998 to May 20, 1999 to develop family value scale with cancer children, and 12 statements were developed. 3) The final survey was conducted from July 18, 2000 to August 30, 2000 and the data from 309 parents of children who are diagnosed as cancer, 18 or less years of age, and treated either hospitalized or at the outpatient clinics were analyzed to identify the relationships of the concepts. The data analysis utilized SAS 6.12 and LISREL 8 for descriptive statistics, correlation, and Regression for path analysis. The study findings are as follows. The psychometric testing of general family value scale was Cronbach's alpha = 0.78. The reliability of the family value scale with cancer children showed the reliability as Cronbach's alpha = 0.73. Demographic characteristics showing significant correlations were cancer children's age, period of illness, period after completing treatment, mother's age, mother's education level, monthly income, payment type, confidence with health professional, and severity of children's illness. The correlation coefficients among major variables showed that family stressor was positively related with family strains(r=0.33, p<.001), and negatively related with family hardiness(r=-0.21, p<.001). Family strains was negatively related with family hardiness(r= -0.41, p<.001) and family adaptation(r=-0.46, p<.001). Correlations of family hardiness was positive with family value with cancer children(r=-0.31, p<.001), and negative with general family value(r=-0.16, p<.01). Family hardiness was positively related with family adaptation(r=0.35, p<.001). The causal relationship between study variables showed that family strains predicts general family value(γ=0.12, t=2.02), family value with cancer children predicts family hardiness(γ=0.31, t=6.30), family strains predicts family hardiness(γ=-0.40, t=-7.70), family value with cancer children predicts family adaptation(γ=-0.23, t=-4.11), and family hardiness predicts family adaptation(γ=0.43, t=7.78).

• Journal of Internet Computing and Services
• /
• v.15 no.6
• /
• pp.15-26
• /
• 2014

This study focus on a economic value of the Big Data technologies by real options model using big data technology company's stock price to determine the price of the economic value of incremental assessed value. For estimating stochastic process of company's stock price by big data technology to extract the incremental shares, Generalized Moments Method (GMM) are used. Option value for Black-Scholes partial differential equation was derived, in which finite difference numerical methods to obtain the Big Data technology was introduced to estimate the economic value. As a result, a option value of big data technology investment is 38.5 billion under assumption which investment cost is 50 million won and time value is a about 1 million, respectively. Thus, introduction of big data technology to create a substantial effect on corporate profits, is valuable and there are an effects on the additional time value. Sensitivity analysis of lower underlying asset value appear decreased options value and the lower investment cost showed increased options value. A volatility are not sensitive on the option value due to the big data technological characteristics which are low stock volatility and introduction periods.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.10 no.6
• /
• pp.143-153
• /
• 2015

The purpose of this study is to analyze the relation between the housing value and residential satisfaction, housing' investment value, and also the effect the purchase intention. Recently it has been argued that the consumers' investment value can have influence on the housing market, however it is extremely rare to find research market. Through this study, influencing relationship on how the factors of housing value can affect the residential satisfaction and investment value is figured out. Last, in order to analysis the influencing relationship of purchase intention, the questionnaire for residents were conducted. The analysis is done based on 585 significant research materials gathered from the questionnaires. For analysis methodology, this research is using SPSS 21.0, AMOS 18.0, along with analytic techniques, such as implementation of basic statistical analysis, reliability, and structural analysis. Following is the results summary of the research: First, results of a factor analysis extracted four factors of housing value: residential quality factor, economic factor, brand factor, accessibility factor. Second, we find from the residential quality, brand of the housing value were statistically effect of the residential satisfaction and investment value. Finally, residential satisfaction and investment value had a positive influence on purchase intention. The result indicates the housing buyers' positive investment value and residential satisfaction increase the purchase intention in housing market. The better the housing buyers' investment value on the real estate market, the higher the market activity.