• Journal of the Korean Society for information Management
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• v.3 no.1
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• pp.103-135
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• 1986

In this thesis, author cocitation analysis with 45 authors in the field of sociology in general and document cocitation analysis in the specific area of family sociology were executed. The purpose of this study is to examine the meaning of bibliographic phenomena in Korean sociological literature by means of a new bibliometric technique, cocitation analysis, and to approach the intellectual structure of that field in view of multidimensional space.

• Journal of the Korean Home Economics Association
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• v.32 no.3
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• pp.63-70
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• 1994

This study investigated the factors influencing married men's time allocation in child care. A multidimensional theoritical approach employing the perspectives of economic efficiency time availability and role ideology was employed to explain variations in fathers' participation in child care. In addition the effects of several socio-demographic variables were investigated. The sample was drawn from the National Survey of Families and Households (NSFH) conducted in 1987-1988 by the Center for Demography and Ecology in University of Wisconsin-Madison. Results indicated that the time availability perspective was significantly supported and the economic efficiency perspective was partially supported. On the other hand no singificant evidence was found for the effect of role ideology on fathers' child care time. Overall demographic variables had a nonsignificant effect (except in the case of age) on the amount of fathers' participation in child care.

• 한국데이터정보과학회:학술대회논문집
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• 2005.04a
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• pp.83-126
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• 2005

Single-index models have found applications in econometrics and biometrics, where multidimensional regression models are often encountered. Here we propose a nonparametric estimation approach that combines wavelet methods for non-equispaced designs with Bayesian models. We consider a wavelet series expansion of the unknown regression function and set prior distributions for the wavelet coefficients and the other model parameters. To ensure model identifiability, the direction parameter is represented via its polar coordinates. We employ ad hoc hierarchical mixture priors that perform shrinkage on wavelet coefficients and use Markov chain Monte Carlo methods for a posteriori inference. We investigate an independence-type Metropolis-Hastings algorithm to produce samples for the direction parameter. Our method leads to simultaneous estimates of the link function and of the index parameters. We present results on both simulated and real data, where we look at comparisons with other methods.

• Journal of Multimedia Information System
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• v.2 no.3
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• pp.263-274
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• 2015

The subject of this work is the complex discrete systems simulation special features with the aid of dynamic graph models. The proposed simulation technique allows to determine the ways for tasks solutions in terms of discrete systems analysis and synthesis of various complication: one-dimensional and multidimensional, steady and unstable, with the pulse elements abnormal operating mode and others. Often complex control systems analysis and synthesis task solutions, via classical approach comes out to be insolvent, because of the computational problems. The application of graph models allows to perform clear and strict characterization and computer procedures automation. The optimal controls synthesis algorithm presented in this paper, transferring the discrete system from target initial state to target final state within the minimum time, allows to consider the zero initial conditions systems, with the initial potential energy, with the control actions limitations and complex pulse elements operating mode.

• The Journal of the Acoustical Society of Korea
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• v.27 no.1E
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• pp.30-34
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• 2008

An improvement to the existing blind signal separation (BSS) method has been made in this paper. The proposed method models the inherent signal dependency observed in acoustic object to separate the real-world convolutive sound mixtures. The frequency domain approach requires solving the well known permutation problem, and the problem had been successfully solved by a vector representation of the sources whose multidimensional joint densities have a certain amount of dependency expressed by non-spherical distributions. Especially for speech signals, we observe strong dependencies across neighboring frequency bins and the decrease of those dependencies as the bins become far apart. The non-spherical joint density model proposed in this paper reflects this property of real-world speech signals. Experimental results show the improved performances over the spherical joint density representations.

• Communications for Statistical Applications and Methods
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• v.13 no.2
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• pp.233-241
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• 2006

Classical principal component analysis (PCA) can be formulated as finding the linear subspace that best accommodates multidimensional data points in the sense that the sum of squared residual distances is minimized. As alternatives to such LS (least squares) fitting approach, we produce LMS (least median of squares) and LTS (least trimmed squares)-type PCA by minimizing the median of squared residual distances and the trimmed sum of squares, in a similar fashion to Rousseeuw (1984)'s alternative approaches to LS linear regression. Proposed methods adopt the data-driven optimization algorithm of Croux and Ruiz-Gazen (1996, 2005) that is conceptually simple and computationally practical. Numerical examples are given.

• 전기의세계
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• v.22 no.3
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• pp.49-62
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• 1973

An algorithm for the state estimation and identification of multivariable nonlinear systems with noisy nonlinear observation has been investigated on the basis of the multidimensional Hermitian expansion for the a posteriori probability densities of the predicted observation, the predicted state and the observation conditioned by the state. A new approach for construction of this sequential nonlinear estimator, retaining up to the second order term of the observation error, has been developed, along with the approximation of nonlinear system functions, truncating at the second term. The estimation of the unknown parameters has been established by extending the state estimation technique, regarding the parameters as another state variables. The results of investigation indicate the feasibility of the schemes presented in this paper.

• Health Policy and Management
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• v.21 no.2
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• pp.213-248
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• 2011

Past studies on organizational accountability have had similar limitations. First, empirical evidence of organizational accountability is rare as the majority of research takes a conceptual approach of the topic. Only a few of these studies are applicable to health care organizations (HCOs). To fill these gaps, we attempted to develop a model for analysis of organizational accountability for HCOs. Accountability for HCOs was conceptualized by two axes: answerability(X, horizontal) and value-creation(Y, vertical). Our concept building could relieve competing accountability mechanism which past studies stressed. Four elements of accountability(legal, economical, social, and clinical) were applied to specify each of the two features of organizational accountability. And then four types of accountability behavior were coordinated by this x-y axis : high A/high VC, high A/low VC, low A/high VC, low A/low VC. Finally, a multidimensional model of HCOs' accountability, enabling an empirically testable multi-level analysis, was proposed.

• Proceedings of the KSLP Conference
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• 1995.11a
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• pp.128-136
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• 1995

Diagnostic evaluation for voice disorders requires a multidimensional approach : physiological examination of the larynx and the vocal tract, aerodynamic studies, examinations of vocal fold vibrations, psychoacoustic evaluations, acoustical analyses, and so on. Previous studies with the use of a computer system suggested that the acoustic evaluation is quite promising for differentiating some causative diseases of voice disorders(Hiki et al., 1975a, b, 1976 ; Kakita et al., 1980). However, a well-equipped computer system for acoustic analysis is very expensive and not available in most voice clinics. A sound spectrograph is available in many voice clinics. (omitted)

• 한국지구물리탐사학회:학술대회논문집
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• 2007.06a
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• pp.54-57
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• 2007

Recently, multidimensional joint inversion of geophysical data based on fundamentally different physical properties has been actively studied. Joint inversion can provide a way to much more accurately image the subsurface structure. Through the joint inversion, furthermore, it is possible to directly estimate non-geophysical material properties from geophysical measurements. In this study, I derive the objective functions and normal equations of three different joint inversion approaches: one approach based on the structural similarity using cross-gradient, and the other two using the a priori information on the model parameters and the correlation between material properties. Since all the equations derived in this study are based on the same inversion method (smoothness constrained least-squares), it is possible to mix the joint inversion methods so as to produce a new joint inversion algorithm.