• Journal of Korea Multimedia Society
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• v.9 no.8
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• pp.1076-1085
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• 2006

It is difficult to design a component to satisfy several domain requirements and almost impossible to support a specific business logic completely. To satisfy this requirement, there need white box components rather than black box components. So, in this paper, we propose the variability design technique and the customization technique that can support the various requirements of domains. The initial variability of the component is designed at the CD (component development) phase and the customization technique is used for further application of the variability. In the paper, the behavior variability design and customization techniques are used for altering component behavior. As the components that have been developed using the variability technique can easily be re designed during the development of the applications, the variability of the components can be generalized further.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.23 no.7 s.166
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• pp.1164-1172
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• 1999

In this study, to investigate the fatigue crack retardation behavior and the variability of retardation cycles, fatigue crack growth tests were conducted on 7075-T6 aluminum alloy under single tensile overload. A retardation coefficient, D was introduced to describe fatigue crack retardation behavior and a random variable, Z to describe the variability of fatigue crack growth. The retardation coefficient was separately formulated according to retardation behavior which is composed of delayed retardation part and retardation part. The random variable, Z was evaluated from experimental data which was obtained from fatigue crack growth tests under constant amplitude load. Using these variables, a probabilistic model was developed on the basis of the modified Forman's equation, and retardation behavior and cycles were predicted under certain overload condition. The predicted retardation curve well agrees with the trend of experimental crack retardation behavior. And this model well predicts the scatter of experimental retardation cycles.

• Korean Journal of Oriental Medicine
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• v.13 no.3
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• pp.97-103
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• 2007

The object of this study is to evaluate confounding effect of sleeping behavior on heart rate variability (HRV) in healthy volunteers during a randomized clinical trial. From 6 healthy volunteer, we acquired circadian electrocardiography(ECG) with a Holter monitoring device(DigiTrak Plus, Philips). The compatible analytical program, Zymed, was used for calculation of RR intervals of 24h ECG signal. Then, we generated HRV signals and calculated 9 HRV parameters in time domain and frequency domain for every 30 minute with Matlab 6.x software. We also encoded participants' activities as follows; stable condition(1), sleeping behavior(2), eating behavior(3), and undefined condition(4). Using SPSS 12.0, we tested if there was any difference between HRV parameters of day-time and night-time and between those of a subject in stable condition and in sleeping behavior. As a result, one of the most important parameter-LF/HF ratio, which indicates the autonomic balance between sympathetic and parasympathetic nervous systems, as same the other parameters, showed large inter-individual variations in circadian profiles. And, the mean LF/HF ratio of each participant was different between in stable condition and in sleeping behavior (p<.05). Consequently, the effect of sleeping behavior must be considered when one or more of HRV parameters, especially LF/HF ratio, are used as assessment index in clinical studies.

• Journal of KIISE:Software and Applications
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• v.30 no.3_4
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• pp.185-201
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• 2003

The business component for satisfying a variety of domain requirements should be developed to provide a variety. But, although components are developed by analyzing the variety of requirements when they are developed, developing components that satisfy all requirements is not easy since unexpected requirements occur as it is used components. For this reason, components are not provided as black boxes but as white boxes, and there by components are not modified in the interface only but the source codes are directly modified. Accordingly, a Time-To-Market by the use of components is not easy and a reusability of the components also decreases. This study proposes a customization technique that can be satisfied requirements of many different kinds of domains by analyzing variable spots of components. The initial variability of components is designed in the component development phase. and a customization technique is used to apply the variability. The variability can be redesigned during the development of application by using the components to which the variability is applied. Through this process, a variability of components evolves and a generality of the components can be improved. The proposing customization technique in this study can change the component to extend without changing the existing component when it is redesigned.

• The KIPS Transactions:PartD
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• v.9D no.5
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• pp.837-846
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• 2002

When you develop component, you can offer reusability and extension by analyzing commonality and variability about attribute and behavior. Therefore Component that analyzing commonality and variability are use for the purpose of reducing discord of function and adaptedness. I wish to research reusability and extension of component by analysis commonality and variability of component that exist by domain in this paper, extractfunctionofcomponentbybehavioranalysis.

• Earthquakes and Structures
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• v.12 no.2
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• pp.165-175
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• 2017

This paper studies soil properties uncertainty and its implementation in the seismic response evaluation of structures. For this, response sensitivity of two 4- and 12-story RC shear walls to the soil properties uncertainty by considering soil structure interaction (SSI) effects is investigated. Beam on Nonlinear Winkler Foundation (BNWF) model is used for shallow foundation modeling and the uncertainty of soil properties is expanded to the foundation stiffness and strength parameters variability. Monte Carlo (MC) simulation technique is employed for probabilistic evaluations. By investigating the probabilistic evaluation results it's observed that as the soil and foundation become stiffer, the soil uncertainty is found to be less important in influencing the response variability. On the other hand, the soil uncertainty becomes more important as the foundation-structure system is expected to experience nonlinear behavior to more sever degree. Since full This paper studies soil properties uncertainty and its implementation in the seismic response evaluation of structures. For this, response sensitivity of two 4- and 12-story RC shear walls to the soil properties uncertainty by considering soil structure interaction (SSI) effects is investigated. Beam on Nonlinear Winkler Foundation (BNWF) model is used for shallow foundation modeling and the uncertainty of soil properties is expanded to the foundation stiffness and strength parameters variability. Monte Carlo (MC) simulation technique is employed for probabilistic evaluations. By investigating the probabilistic evaluation results it's observed that as the soil and foundation become stiffer, the soil uncertainty is found to be less important in influencing the response variability. On the other hand, the soil uncertainty becomes more important as the foundation-structure system is expected to experience nonlinear behavior to more sever degree. Since full probabilistic analysis methods like MC commonly are very time consuming, the feasibility of simple approximate methods' application including First Order Second Moment (FOSM) method and ASCE41 proposed approach for the soil uncertainty considerations is investigated. By comparing the results of the approximate methods with the results obtained from MC, it's observed that the results of both FOSM and ASCE41 methods are in good agreement with the results of MC simulation technique and they show acceptable accuracy in predicting the response variability.

• Journal of the Korean Society of School Health
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• v.30 no.3
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• pp.266-273
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• 2017

Purpose: This study was performed to compare the mental health of school age children residing in urban and rural areas and to analyze the correlations between the subjective mental health indicators such as depression and attention deficit-hyperactivity behavior and heart rate variability (HRV) indicators. Methods: For this study, a convenience sample of one hundred and three children was recruited. Depression and attention deficit-hyperactivity behavior were measured using self-reported questionnaires and HRV indicators were measured using an electronic instrument. Results: Among the HRV parameters of the rural children, their normalized LF and the LF / HF were significantly lower than those of the urban children. The RMSSD and the normalized HF were statistically significantly higher. The level of depression showed a significant positive correlation with the normalized LF and LF/HF, but showed a negative correlation with the normalized HF. Also, the level of attention deficit-hyperactivity behavior was significantly correlated with the normalized LF, LF/HF, and the normalized HF. Conclusion: Based on the findings, we expect that HRV indicators can be applied to predict the level of depression and attention deficit-hyperactivity behavior in elementary school children.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.24 no.8 s.179
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• pp.2074-2082
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• 2000

In this study, to investigate and to predict the crack growth behavior under variable amplitude loading, crack growth tests are conducted on 7075-T6 aluminum alloy. The loading wave forms are generated by normal random number generator. All wave forms have same average and RMS(root mean square) value, but different standard deviation, which is to vary the maximum load in each wave. The modified Forman's equation is used as crack growth equation. Using the retardation coefficient D defined in previous study, the load interaction effect is considered. The variability in crack growth process is described by the random variable Z which was obtained from crack growth tests under constant amplitude loading in previous work. From these, a statistical model is developed. The curves predicted by the proposed model well describe the crack growth behavior under variable amplitude loading and agree with experimental data. In addition, this model well predicts the variability in crack growth process under variable amplitude loading.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.4B
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• pp.329-334
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• 2006

The spatial variability of the L- and C- band large scale remotely sensed soil moisture data, obtained during the Southern Great Plain 1999 Experiment (SGP'99), was characterized. The results demonstrate that soil moisture data using L-band show the break in statistical symmetry (multiscaling behavior) with the variation of scale of observation, which is similar to that of the soil property such as sand content. Also, soil moisture data using C-band show single scaling behavior with the variation of scale of observation, which is similar to that of the vegetation condition. The results should be considered during downscaling the Global soil moisture data using AMSR instrument.

• Proceedings of the Korea Water Resources Association Conference
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• 2004.05b
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• pp.705-708
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• 2004

The spatial variability of the L- and C- band large scale remotely sensed soil moisture data, obtained during tire Southern Great Plain 1999 (SGP'99), was characterized. The results demonstrate that soil moisture data using L-band show the break in statistical symmetry (multiscaling behavior) with the variation of scale of observation, which is similar to that of the soil property such as sand content. Also, soil moisture data using C-band show single scaling behavior with the variation of scale of observation, which Is similar to that of the vegetation condition.