• Asian-Australasian Journal of Animal Sciences
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• v.13 no.3
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• pp.413-422
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• 2000

In the class of models which include random effects, the variance component estimates are important to obtain accurate predictors and estimators. Variance component estimation is straightforward for balanced data but not for unbalanced data. Since orthogonality among factors is absent in unbalanced data, various methods for variance component estimation are available. REML estimation is the most widely used method in animal breeding because of its attractive statistical properties. Recently, Bayesian approach became feasible through Markov Chain Monte Carlo methods with increasingly powerful computers. Furthermore, advances in variance component estimation with complicated models such as generalized linear mixed models enabled animal breeders to analyze non-normal data.

• International Journal of CAD/CAM
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• v.6 no.1
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• pp.157-166
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• 2006

In order to model blending surfaces with curvature continuity, in this paper we apply sixth order partial differential equations (PDEs), which are solved with a composite power series based method. The proposed composite power series based approach meets boundary conditions exactly, minimises the errors of the PDEs, and creates almost as accurate blending surfaces as those from the closed form solution that is the most accurate but achievable only for some simple blending problems. Since only a few unknown constants are involved, the proposed method is comparable with the closed form solution in terms of computational efficiency. Moreover, it can be used to construct 3- or 4-sided patches through the satisfaction of continuities along all edges of the patches. Therefore, the developed method is simpler and more efficient than numerical methods, more powerful than the analytical methods, and can be implemented into an effective tool for the generation and manipulation of complex free-form surfaces.

• International Journal of Internet, Broadcasting and Communication
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• v.8 no.4
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• pp.26-38
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• 2016

Recently, mobile traffic has increased tremendously due to the deployment of smart devices such as smartphones and smart tablets. Android is the world's most powerful mobile platform in smartphone. The Android operating system provide seamless access to many applications and access to the Internet. It would involve network packet sharing communicated over the network. Network packet contains a lot of useful information about network activity that can be used as a description of the general network behaviours. To study what is the behaviours of the network packet, an effective tools such as network packet analyzers software used by network administrators to capture and analyze the network information. In this research, more understanding about network information in live network packet captured from Android smartphone is the target and identify the best network analyzer software.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2006.04a
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• pp.89-96
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• 2006

Nondestructive evaluation using surface waves needs an analytical solution for the reference value to compare with experimental data. Finite element analysis is very powerful tool to simulate the wave propagation, but has some defects. It is very expensive and high time-complexity for the required high resolution. For those reasons, it is hard to implement an optimization problem in the actual situation. The developed engine in this paper can substitute for the finite element analysis of surface waves propagation, and it accomplishes the fast analysis possible to be used in optimization. Including this artificial intelligence engine, most of soft computing algorithms can be applied on the special database. The database of surface waves propagation is easily constructed with the results of finite element analysis after reducing the dimensions of data. The principal wavelet-component analysis is an efficient method to simplify the transient wave signal into some representative peaks. At the end, artificial neural network based on the database make it possible to invent the artificial intelligence engine.

• Proceedings of the KSPS conference
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• 1996.10a
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• pp.75-83
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• 1996

The purpose of this paper is to study deletion of the Arabic glottal stop /'/ in Literary Arabic(LA) and Cairene Arabic(CA). Arabic has a diglossia structure - Literary and Colloquial Arabic. The former is the standard and written language, while the latter is the oral language used in dialects of many areas. Of the various Colloquial Arabic dialects the Cairene Arabic is the most influential and powerful dialect, hence it was chosen as the subject study. In this paper the followings are found: (1) The deletion of the Arabic glottal stop /'/ in CA is found much more frequently than that in LA. (2) In a word the deletion is found more frequently in the middle position than in the initial or final position, in which /'/ is sometimes converted weak consonants /w/ or /y/.

• Proceedings of the Korean Society of Toxicology Conference
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• 2002.05a
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• pp.129-129
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• 2002

2,3,7,8-Tetrachlorodibenzo-p-dioxin(TCDD) a prototype of many halogenated aromatic hydrocarbons, is a ubiquitous, persistent environmental contaminant and the most powerful carcinogen categorized by IARC. Despite extensive research, the mechanisms of TCDD-induced carcinogenesis are poorly understood.(omitted)

• Korean Journal of Child Studies
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• v.21 no.1
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• pp.59-72
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• 2000

This study explored the contribution of mother's representation of her mother and father during early years, marital satisfaction, and husband's participation in child caring to mothers' parenting behaviors. The subjects were 253 middle-class mothers and fathers in Seoul who had 2-to 3-year-old children. The data were gathered through questionnaires developed for the current study. As predicted, marital satisfaction and husband support as well as early family experiences were significant variables in predicting positive mothering for mothers of young children. However, the most powerful predictor of mothers' parenting turned out to be marital satisfaction. It was noteworthy that mothers who experienced positive and secure relationships with their own mothers were actively involved/intimate with their children whereas mothers who had insecure relationships with their own fathers showed more authoritarian control over their children.

• Korean Journal of Child Studies
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• v.24 no.1
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• pp.47-59
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• 2003

The influence of depression, self-esteem, and well-being components of maternal psychological environment on child behavior problems was examined in Korean and American populations. Findings were that the level of mother's self-esteem was lower in Korean than in American mothers; the level of mother's "autonomy" and "environmental mastery" was lower in Korean than in American mothers; and "somatic complaints" were more frequent in the Korean group. The relationship between maternal psychological environment and child behavior problems was greater in the American group. In the Korean group, autonomy and enviornmental mastery were negative components causing both internalized and externalized behavor problems in children. Mothers' depression was the most powerful variable, affecting internalized and externalized behavior problems in both Korean and American groups.

• Proceedings of the IEEK Conference
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• 2001.06a
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• pp.113-116
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• 2001

Reed-Solomon(RS) code is the most powerful burst error correcting code. In Ois paper, the architecture for the adaptive RS encoder adaptable for multi QoS requirements or time-varying channel environments has been designed. In the adaptive RS code, the message length k and the error correction capability t are allowed to be variable so that the block length n is also variable. We proposed the architecture of the adaptive RS encoder by designing the optimal structure of Galois fields multiplier with comparison of fixed multiplier and variable multiplier. The proposed architecture is implemented in VHDL and verified with the simulation tool

• Journal of the Korean housing association
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• v.8 no.3
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• pp.91-98
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• 1997

This study explores the patterns of housing-related attitudes and the kind of needs for shared community spaces among small-sized apartment housing dwellers. The major findings are as follows. The majority of the dwellers are in a strong need of common spaces. especially for children's activities. social gathering and physical exercises. Housing consciousness can be grouped into 4 categories the propensity to making up common society. the propensity to pursuing the quality of neighborhood. the propensity to orienting natural environment. and the propensity to participating in community. Families with children in primary school are more likely to get involved in the community and the common society than those with children in high school or those in the stage of launching a family. The propensity to making up common society and pursing the quality of neighborhood have stronger impact on needs for shared community space. This study reveals that the sense of community orientation is the most powerful predictor variable for shared community space needs.