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An Effect of Layered Earth on Magnetotelluric Responses of Three-Dimensional Bodies
김희준,홍철훈,Kim, Hee Joon,Hong, Chol Hoon The Korean Society of Economic and Environmental G 1994 자원환경지질 Vol.27 No.5
The integral equation method is used for magnetotelluric (MT) modeling of a finite inhomogeneity in a two-layered earth. An integral equation relates the incident plane-wave field and the scattering currents in the three-dimensional (3-D) inhomogeneity through the electric tensor Green's function appropriate to a layered earth. This paper describes an effect of overburden and basement on MT responses of 3-D body. The effect of overburden is to reduce the detectability of target, and the reduction of detectability is more apparent for conductive overburden than for resistive one. The effect of basement, on the other hand, may enhance the anomaly due to 3-D body in the upper layer. In case of the resistive basement current perturbations about the body tend to be confined to the more conductive upper layer.

김희준,Kim, Hee Joon 대한자원환경지질학회 1995 자원환경지질 Vol.28 No.4
The most popular minimization method is based on the least-squares criterion, which uses the $L_2$ norm to quantify the misfit between observed and synthetic data. The solution of the least-squares problem is the maximum likelihood point of a probability density containing data with Gaussian uncertainties. The distribution of errors in the geophysical data is, however, seldom Gaussian. Using the $L_2$ norm, large and sparsely distributed errors adversely affect the solution, and the estimated model parameters may even be completely unphysical. On the other hand, the least-absolute-deviation optimization, which is based on the $L_1$ norm, has much more robust statistical properties in the presence of noise. The solution of the $L_1$ problem is the maximum likelihood point of a probability density containing data with longer-tailed errors than the Gaussian distribution. Thus, the $L_1$ norm gives more reliable estimates when a small number of large errors contaminate the data. The effect of outliers is further reduced by M-fitting method with Cauchy error criterion, which can be performed by iteratively reweighted least-squares method.

김희준,Kim, Hee Joon 대한자원환경지질학회 1995 자원환경지질 Vol.28 No.4
Genetic algorithms are so named because they are analogous to biological processes. The model parameters are coded in binary form. The algorithm then starts with a randomly chosen population of models called chromosomes. The second step is to evaluate the fitness values of these models, measured by a correlation between data and synthetic for a particular model. Then, the three genetic processes of selection, crossover, and mutation are performed upon the model in sequence. Genetic algorithms share the favorable characteristics of random Monte Carlo over local optimization methods in that they do not require linearizing assumptions nor the calculation of partial derivatives, are independent of the misfit criterion, and avoid numerical instabilities associated with matrix inversion. An additional advantage over converntional methods such as iterative least squares is that the sampling is global, rather than local, thereby reducing the tendency to become entrapped in local minima and avoiding the dependency on an assumed starting model.

김희준,Kim, Hee Joon 대한자원환경지질학회 1995 자원환경지질 Vol.28 No.3
There is a deep and useful connection between thermodynamics (the behavior of systems with many degrees of freedom in thermal equilibrium at a finite temperature) and combinational or continuous optimization (finding the minimum of a given multiparameter function). At the heart of the method of simulated annealing is an analogy with the way that liquids freeze and crystallize, or metals cool and anneal. This paper provides a detailed description of simulated annealing. Although computationaly intensive, when it is carefully implemented, simulated annealing is found to give superior results to more traditional methods of nonlinear optimization.

경영전문대학원 프로젝트 중심의 인턴쉽 프로그램 사례 연구
김희준,우형주,황성진,황지영,김승철 한국서비스경영학회 2012 한국서비스경영학회 학술대회 Vol.2012 No.11
This study, the subject of a broad range of cases on the center of the project of the Korean MBA Internship Program. Characterization strategy during the Korean operating in the nation"s 13 graduate MBA, and each university has been operating as a curriculum. MBA courses based on the theory of learning that can be applied in practice ever to the original intent, or the lack of realistic constraints and institutional is not being implemented smoothly. Course opened on ideas in practical aspects of the case analysis of how processes operating through the internship program management professional in 2012, graduate students are at the center of this study.