• Journal of the Chungcheong Mathematical Society
• /
• v.32 no.1
• /
• pp.149-156
• /
• 2019

This paper present the global generalized cross validation as the appropriate choice of the regularization parameter in the preconditioned Gl-LSQR method in solving image deblurring problems. The regularization parameter, chosen from the global generalized cross validation, with preconditioned Gl-LSQR method can give better reconstructions of the true image than other parameters considered in this study.

• Journal of Society of Preventive Korean Medicine
• /
• v.14 no.1
• /
• pp.77-96
• /
• 2010

Objectives : This paper recommends a global budget based payment system for reimbursing oriental medical services in the national health insurance. Methods : We analyzed previous research outcomes related to oriental medical services and payment system We reviewed the experiences of other countries' global budget system in terms of their strength and weakness. In addition, we developed a reimbursement method for oriental medical services based on global budget. Results : Our reviews focused on global budget system of Germany, the Netherlands, the United Kingdom, Canada, France, and Taiwan. The estimation of global budget in the national health insurance was described in two scenarios. First scenario was to allocate oriental medical services in scale after signing a contract for global budget. In this case, 4.16% of the national health insurance expenditure was allocated for the oriental medical services. Second scenario was to estimate the global budget in a historical context. As a result, the first scenario in total budget was higher than the second, and we proposed a retrospective adjustment method for the gap between the budget and the actual expenditure Conclusions : The payment system for oriental medical services is recommended to shift from fee-for-service to global budget.

• Hwankyungkyoyuk
• /
• v.21 no.2
• /
• pp.11-24
• /
• 2008

This research verifies the effect on environmental attitude and knowledge accomplishment by t-test as producing and running programs regarding global warming which is raised as a representative environmental issue subject to 6th grade-elementary students. For this, environmental education programs about global warming for elementary students are developed and applied 15 times by reconstituting classes based on the contents regarding global warming from the text books revised as of 7th course of study. The result is as below. First, some part of contents from social study and science of 6th grade elementary curriculum of 7th course of study was able to be reconstituted to 15 education programs. Secondly, the programs about global warming improved students' environmental attitude Application of the programs about global warming showed significant difference(p<.05) on building environmental attitude as it proved those are effective on both area of recognition level and practice level. The method used on the test had .866's Cronbach alpha modulus value therefore, it obtained reliability. Thirdly, the programs regarding global warming improved students' knowledge accomplishment. As a result of test for knowledge accomplishment which was executed with same method for attitude test, the application of the programs about global warming showed significant difference(p<.05) on improving students' knowledge accomplishment on the global warming therefore, it resulted that the application of the program is effective on knowledge acquirement.

• Phonetics and Speech Sciences
• /
• v.1 no.1
• /
• pp.69-73
• /
• 2009

This paper proposes an efficient global covariance-based principal component analysis (GCPCA) for speaker identification. Principal component analysis (PCA) is a feature extraction method which reduces the dimension of the feature vectors and the correlation among the feature vectors by projecting the original feature space into a small subspace through a transformation. However, it requires a larger amount of training data when performing PCA to find the eigenvalue and eigenvector matrix using the full covariance matrix by each speaker. The proposed method first calculates the global covariance matrix using training data of all speakers. It then finds the eigenvalue matrix and the corresponding eigenvector matrix from the global covariance matrix. Compared to conventional PCA and Gaussian mixture model (GMM) methods, the proposed method shows better performance while requiring less storage space and complexity in speaker identification.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.20 no.3
• /
• pp.115-128
• /
• 2018

The purpose of this study is to systematize various clothing production methods that domestic fashion brands are utilizing to produce fashion products, and to propose effective clothing production methods according to the characteristics. The research methods are contents analysis method of the literatures, articles, reports, and interviewing method of the practitioners who are in charge of the production of fashion. First, the clothing production methods of the domestic fashion brands are categorized as follows. It is divided into a fashion brand management method and a promotion company entrustment method based on who carries out the clothing production and management. The fashion brand management method is subdivided into the 'rental-production', 'CMT', and 'self-production' methods. All three methods are performed at domestic and global sourcing, but the CMT method is more utilized at the global sourcing. The promotion company entrustment method is subdivided into the 'full consignment production method', the 'CMT method involving promotion company', and 'direct buying method by promotion company'. All methods are performed at domestic and global sourcing. Second, the results of reviewing effective clothing production methods, according to characteristics are as follows. If fashion brands control the production and management, they use all three fashion brand management methods. The fashion brands use the promotion company entrustment method when they wants to offer special products, or the number of items is large, or the production management is difficult, or the manpower and equipment size is reduced. The domestic sourcing is utilized by fashion brands and promotion companies when production management is required for high quality apparel production, in case of trendy and complex designs, spot production, and in small quantity production. The global sourcing is utilized by fashion brands and promotion companies when it comes to lowering the production cost, fashion brands preferred the mass production of apparel with design that can be pre-planned.

• Industrial Engineering and Management Systems
• /
• v.9 no.1
• /
• pp.10-19
• /
• 2010

This paper presents an extended computing procedure for the global optimization of the triple response system (TRS) where the response functions are nonconvex (nonconcave) quadratics and the input factors satisfy a radial region of interest. The TRS arising from response surface modeling can be approximated using a nonlinear mathematical program involving one primary (objective) function and two secondary (constraints) functions. An optimization algorithm named triple response surface algorithm (TRSALG) is proposed to determine the global optimum for the nondegenerate TRS. In TRSALG, the Lagrange multipliers of target (secondary) functions are computed by using the Hooke-Jeeves search method, and the Lagrange multiplier of the radial constraint is located by using the trust region (TR) method at the same time. To ensure global optimality that can be attained by TRSALG, included is the means for detecting the degenerate case. In the field of numerical optimization, as the family of TR approach always exhibits excellent mathematical properties during optimization steps, thus the proposed algorithm can guarantee the global optimal solution where the optimality conditions are satisfied for the nondegenerate TRS. The computing procedure is illustrated in terms of examples found in the quality literature where the comparison results with a gradient-based method are used to calibrate TRSALG.

• Journal of Korea Society of Industrial Information Systems
• /
• v.8 no.4
• /
• pp.26-30
• /
• 2003

The Lanczos algorithm is the most commonly used in approximating a small number of extreme eigenvalues for symmetric large sparse matrices. Global communications in MP(Message Passing) parallel computer decrease the computation speed. In this paper, we introduce the s-step Lanczos method, and s-step method generates reduction matrices which are similar to reduction matrices generated by the standard Lanczos method. One iteration of the s-step Lanczos algorithm corresponds to s iterations of the standard Lanczos algorithm. The s-step method has the minimized global communication and has the superior parallel properties to the standard method. These algorithms are implemented on Cray T3E and performance results are presented.

• Communications of the Korean Mathematical Society
• /
• v.32 no.3
• /
• pp.579-600
• /
• 2017

In this paper we consider a semilinear pseudoparabolic equation with polynomial nonlinearity and infinite delay. We first prove the existence and uniqueness of weak solutions by using the Galerkin method. Then, we prove the existence of a compact global attractor for the continuous semigroup associated to the equation. The existence and exponential stability of weak stationary solutions are also investigated.

• Journal of Welding and Joining
• /
• v.22 no.6
• /
• pp.25-29
• /
• 2004

Some industrial steel structures are composed by components linked by several welding joints to constitute an assembly. The main interest of assembly simulation is to evaluate the global distortion of welded structure. The general method, thermo-elasto-plastic analysis, leads to excessive model size and computation time. In this study, a simplified method called "Local and Global approach" was developed to break down this limit and to provide a accurate solution for distortion. Local and global approach is composed of 3 steps; 1) Local simulation of each welding joint on a dedicated mesh (usually very fine due to high thermal gradients), taking into account for the non linearity of the material properties and the moving heat source. 2) Transfer to the global model of the effects of the welding joints by projection of the plastic strain tensors. 3) Elastic simulation to determine final distortions in global model. The welding deformation test for mock-up structure was performed to verify this approach. The predicted welding distortion by this approach had a good agreement with experiment results.

• International Journal of Advanced Culture Technology
• /
• v.7 no.4
• /
• pp.23-31
• /
• 2019

This study was a quasi-experimental study with a single group pre-posttest design for evaluating the effects and meanings of a global health training program for nursing students. A mixed data collection method utilizing both qualitative and quantitative methods was applied. The qualitative method consisted of reflection journal entry analysis, while the quantitative study evaluated data collected from a self-reported questionnaire. After attending the program, cultural competencies of participants significantly increased than pre-test while global citizenship was not. Through an analysis of reflection journals written during the overseas training period, the meanings of experiences derived after the program were classified into five themes and 12 sub themes, which were, 'improvement of global health leadership', 'experience of barriers in reality', 'improvement of nursing professional value', 'inspiration of a perspective on health equity', and 'internal growth'. The results indicate that global health training program evaluated in this study was meaningful; it provided students with opportunities to experience the nurse's role in diverse global environments and attempted to measure the effects.