• Transactions of the Korean Society of Machine Tool Engineers
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• v.10 no.3
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• pp.97-103
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• 2001

This paper has focused on the Optimization of the cutting parameters for urning operation based on the Taguchi method. Four cutting parameters. nemely, cutting speed, feed depth of cut and nose radius are optimized with consideration of the surface roughness. The design and analysis of experiments are conducted to study the performance characteristic. The effects of these parameters on the surface roughness have been investigated using signal-to-noise(S/N) ratio and analy-sis of variance(ANOVA). The experiments have been performed using coated tungsten carbide inserts without any cutting fluid. Experimental results illustrate the effectiveness of this approach.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.13 no.4
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• pp.1-8
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• 2004

Various controllable parameters of an experiment have influence on grinding process. In order to get good products with a high quality, these parameters should be considered whether each parameter has relations to the quality. This paper describes the use of the design of experiments to minimize geometric error in surface grinding. Controllable parameters for the design of experiments were selected as spindle speed, table speed, depth of cut and grain size. From the experimental results, a degree of influence between these parameters and the geometric error was evaluated. An optimal set of grinding conditions was obtained by means of analysis of variance(ANOVA).

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2000.10a
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• pp.242-248
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• 2000

This paper has focused on the optimization of the cutting parameters for turning operation based on the Taguchi method. Four cutting parameters, namely, cutting speed, feed, depth of cut and nose radius are optimized with consideration of the surface roughness. The design and analysis of experiments are conducted to study the performance characteristic. The effects of these parameters on the surface roughness have been investigated using the signal-to-noise (S/N) ratio, analysis of variance (ANOVA). The experiments have been peformed using coated tungsten carbide inserts without any cutting fluid. Experimental results illustrate the effectiveness of this approach.

• International Journal of Advanced Culture Technology
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• v.10 no.2
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• pp.213-219
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• 2022

This study tried to find various alternatives to live the rest of life positively by examining whether satisfaction with work in old age has a positive effect on psychological adjustment in old age. Using the 15th (2020) data of the Korea Welfare Panel Study (KOWEPS), 117 men and 355 women were analyzed as a sample to verify the effect of job participation satisfaction among the elderly on psychological adjustment. The results of the regression analysis in this paper (F=11.680, p<.001) were analyzed to be significant. The results showed gender (β=-.192, p<.001), age (β=2.004, p<.001), and job participation satisfaction (β=-3.726, p<.001). Therefore, it was found to have an effect on psychological adaptation. In terms of gender, it was found that men had higher psychological adaptability than women, and that the lower the age, the higher the psychological adaptability. As a result, it was confirmed that the elderly's job participation is a simple economic part of the elderly, and the psychologically positive influence increased. The higher the job participation satisfaction, the higher the psychological adaptability.

• The Research Journal of the Costume Culture
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• v.14 no.4
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• pp.647-656
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• 2006

A purpose of this research was to analyze an effect of discount stores image on brand equity of fashion brand. One hundred ninety-four women living in Seoul and its suburb were surveyed for this study. For data analysis, descriptive statistics, factor analysis, multiple regression, and ANOVA were used for this study. As the results, first, discount stores image was classified into five factors such as convenience, service, store atmosphere, familarity, and easy use. Second, brand equity was divided into three factors such as brand loyalty, perceived quality and brand recognition. Generally, discount stores images were correlated with brand equity factor. Third, results revealed that service, easy use, convenience, and familarity were 32% of the explained variance in brand loyalty. Also, store atmosphere convenience, service, and easy use were 26% of the explained variance in perceived quality. Results revealed Store Atmosphere and easy use, and familarity were 21% of the explained variance in brand recognition. Based on these results, discount stores in private brand marketing strategies would be suggested.

• Journal of the Korean Society for Precision Engineering
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• v.21 no.1
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• pp.80-86
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• 2004

With the increasing demand of environmentally clean machining in recent years, the use of coolants has been restricted extensively. In this paper, a multiple comparison method(Tukey's HSD method) is proposed to choose the optimum level of coolant necessary for an efficient and environmentally clean machining. The cutting temperature, specific cutting energy, and surface roughness in turning process are analysed by ANOVA(Analysis Of Variance) and Tukey's HSD method. From the experimental results and statistical analysis, it is found that the optimum condition of coolant level is 10 ml/min with 6% mix ratio, which is almost half of the commonly used level.

• Proceedings of the KSME Conference
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• 2000.04a
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• pp.708-713
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• 2000

The design of experiment(DOE) is getting more attention in the engineering community since it is easy to understand and apply. Recently, engineering designers are adopting DOE with orthogonal arrays when they want to design products in a discrete design space. In this research, a design flow with orthogonal arrays is defined fur structural design according to the general DOE. The design problem is defined as a general structural optimization problem. Sensitivity information is evaluated by the analysis of variance(ANOVA), and an optimum design is determined from analysis of means(ANOM). Interactions between design variables are investigated to achieve additivity which should be valid in DOE. When strong interactions exit, a method is proposed. Some methods to consider the problem are suggested.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.11a
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• pp.163-164
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• 2010

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.05a
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• pp.221-222
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• 2010

• Advances in Computational Design
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• v.4 no.1
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• pp.1-13
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• 2019

Recent generations of smartphones offer accelerometer sensors as a standard feature. While this has led to the development of a number of related applications (apps), there has been no study on their comparative or individual performance against a benchmark. This paper investigates the comparative performance of a number of smartphone accelerometer apps amongst themselves and to a calibrated benchmark accelerometer. A total of 12 apps were selected for testing out of 90 following an initial review. The selected apps were subjected to sinusoidal vibration testing of varying frequency and the response of each compared against the calibrated baseline accelerometer. The performance of apps was quantified using analysis of variance (ANOVA) and test of significance was carried out. The apps were then compared for a realistic dynamic scenario of measuring the acceleration response of a bridge due to the passage of a French Train $\grave{a}$ Grande Vitesse (TGV) in a laboratory environment.