• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.137-143
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• 2019

As the performance of computers increases, the use of deep learning, which has faced technical limitations in the past, is becoming more diverse. In many fields, deep learning has contributed to the creation of added value and used on the bases of more data as the application become more divers. The process for obtaining a better performance model will require a longer time than before, and therefore it will be necessary to find an optimal model that shows the best performance more quickly. In the artificial neural network modeling a tuning process that changes various elements of the neural network model is used to improve the model performance. Except Gride Search and Manual Search, which are widely used as tuning methods, most methodologies have been developed focusing on heuristic algorithms. The heuristic algorithm can get the results in a short time, but the results are likely to be the local optimal solution. Obtaining a global optimal solution eliminates the possibility of a local optimal solution. Although the Brute Force Method is commonly used to find the global optimal solution, it is not applicable because of an infinite number of hyper parameter combinations. In this paper, we use a statistical technique to reduce the number of possible cases, so that we can find the global optimal solution.

• Journal of the Korean Data and Information Science Society
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• v.20 no.5
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• pp.925-931
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• 2009

In this paper we propose a variance function estimation method for replicated data based on averages of squared residuals obtained from estimated mean function by the least squares support vector machine. Newton-Raphson method is used to obtain associated parameter vector for the variance function estimation. Furthermore, the cross validation functions are introduced to select the hyper-parameters which affect the performance of the proposed estimation method. Experimental results are then presented which illustrate the performance of the proposed procedure.

• Communications for Statistical Applications and Methods
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• v.16 no.2
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• pp.383-388
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• 2009

In this paper we propose a variance function estimation method based on kernel trick for replicated data or data consisted of sample variances. Newton-Raphson method is used to obtain associated parameter vector. Furthermore, the generalized approximate cross validation function is introduced to select the hyper-parameters which affect the performance of the proposed variance function estimation method. Experimental results are then presented which illustrate the performance of the proposed procedure.

• Journal of Christian Education in Korea
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• v.71
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• pp.241-276
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• 2022

Due to the 4th industrial revolution, which started with the Smart Revolution in the early 21st century, Hyper-Connectivity, Hyper-Convergence and Hyper-Intelligence of our society is accelerating. These changes induced formation of Metaverse as a fused new space that crosses the perimeter of the physical space and virtual(digital) spaces beyond time and place. The characteristics of Metaverse are continuously spread by engaging with the characteristics of the MZ generation, which collects both Millennial generation (M Generation) and Z Generation. With outburst of Covid-19 pandemic, a variety of attempts have been made to utilize Metaverse, even in church education when it was impossible to worship directly. In other words, the usefulness of the Metaverse was confirmed as a new community space of the education of the church. In addition, Metaverse may provide a substantial, experiential and evolving space for church education. However, in order for church education to further develop, the development in the method of education is also required to move beyond mere concept of space. In particular, when the learner-centered education method, one of the common characteristics of the Metaverse and MZ generation, it is thought that the church education in the Metaverse era will be able to go in a more evolving direction.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10a
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• pp.12-15
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• 1996

In this paper, a new shape control law is derived as a result of introducing the parametric curve representation. This control alw is based on the estimation of the curve parameters corresponding to the target joint positions and the target tip position. Estimating target curve parameters makes it possible to find, easily, a simple shape control law by the Lyapunov design method.

• Korean Business Review
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• v.21 no.1
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• pp.119-131
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• 2008

The purpose of this study is to investigate AEON Group which is the largest retailers in Japan. There are same characteristic between E-mart and Aeon. They adopted hyper method as like as European and American. In addition to this, they applied their own custom. As I reviewed about the stages of development corporate, it is enabled to be expected the strategy of Aeon. The corporate will be a holding company and planning to expand branch to hundred in China.

• Journal of the Korean Data and Information Science Society
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• v.21 no.4
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• pp.765-775
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• 2010

For the accelerated failure time (AFT) model a lot of effort has been devoted to develop effective estimation methods. AFT model assumes a linear relationship between the logarithm of event time and covariates. In this paper we propose a semiparametric support vector machine to consider situations where the functional form of the effect of one or more covariates is unknown. The proposed estimating equation can be computed by a quadratic programming and a linear equation. We study the effect of several covariates on a censored response variable with an unknown probability distribution. We also provide a generalized approximate cross-validation method for choosing the hyper-parameters which affect the performance of the proposed approach. The proposed method is evaluated through simulations using the artificial example.

• Proceedings of the KSPS conference
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• 1996.10a
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• pp.149-154
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• 1996

Since the 1980s, a number of professionals in the ESL/EFL field have investigated the role of pronunciation in the ESL/EFL curriculum. Applying the insights gained from the second language acquisition research, these efforts have focused on the integration of pronunciation teaching and learning into the communicative curriculum, with a shift towards overall intelligibility as the primary goal of pronunciation teaching and learning. The present study reports on the efficacy of audio-visual aids and hyper-pronunciation training method in teaching the productions of English consonants to Japanese college students. The talk will focus on the implications of the present study, and the presenter makes suggestions to teaching pronunciation to Japanese learners.

• Structural Engineering and Mechanics
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• v.46 no.4
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• pp.571-594
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• 2013

Railway truss bridges are amongst the essential structures in railway transportation. Minimization of the construction and maintenance costs of these trusses can effectively reduce investments in railway industries. In case of railway bridges, due to high ratio of the live load to the dead load, the moving load has considerable influence on the bridge dynamics. In this paper, optimization of the railway truss bridges under moving load is taken into consideration. The appropriate algorithm namely Hyper-sphere algorithm is used for this multifaceted problem. Through optimization the efficiency of the method successfully raised about 5 percent, compared with similar algorithms. The proposed optimization carried out on several typical railway trusses. The influences of buckling, deformation constraints, and the optimum height of each type of truss, assessed using a simple approximation method.

• The Transactions of the Korea Information Processing Society
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• v.5 no.9
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• pp.2345-2352
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• 1998

The hyper-geometric distribution software reliability growth model was recently developed and successfully applied Due to mathematical difficultv of the maximum likclihmd method, the least squares method has hem suggested for parameter estimation by the previous studies. We first summarize and compare the minimization criteria adopted by the previous studies. It is theo shown that the weighted least squares method is more appropriate hecause of the nonhomogeneous variability of the number of newly detected faults. The adequacy of the weighted least squares method is illustrated by two numerical examples. Finally, we propose a new method fur predicting the number of faults newly discovered by next test instances. The new prediction method can be used for determining the time to stop testing.