• Journal of the Korea Society for Simulation
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• v.18 no.4
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• pp.137-148
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• 2009

The purpose of this study is to implement variable selection algorithm which helps construct a reliable linear regression model. If we use all candidate variables to construct a linear regression model, the significance of the model will be decreased and it will cause 'Curse of Dimensionality'. And if the number of data is less than the number of variables (dimension), we cannot construct the regression model. Due to these problems, we consider the variable selection problem as a combinatorial optimization problem, and apply GA (Genetic Algorithm) to the problem. Typical measures of estimating statistical significance are $R^2$, F-value of regression model, t-value of regression coefficients, and standard error of estimates. We design GA to solve multi-objective functions, because statistical significance of model is not to be estimated by a single measure. We perform experiments using simulation data, designed to consider various kinds of situations. As a result, it shows better performance than LARS (Least Angle Regression) which is an algorithm to solve variable selection problems. We modify algorithm to solve portfolio selection problem which construct portfolio by selecting stocks. We conclude that the algorithm is able to solve real problems.

• Journal of the Korean Magnetics Society
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• v.6 no.1
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• pp.28-35
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• 1996

Dispersion behavior was investigated as functions of species and arrount of addtives, binders, abrasives, lubricants, etc.. Dispersibilityand other various properties were affected by the fuctional groups of binders. Friction coefficient and surface roughness of tape were changed with lubricants, therefore duratility of magnetic tape was varied. As a result of above investigations, we concluded that dispersion behavior of particles was very sensitive for obtaining maximum properties of metal particle tape.

• Proceedings of the KIEE Conference
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• 2005.07c
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• pp.2069-2071
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• 2005

본 연구에서는 플라즈마 식각 공정 시 식자률, 선택비, wafer 손상등과 중요한 관련이 있는 이온 에너지 분포(IED)를 측정하기 위해서 챔버 내에 직접적으로 분석기를 설치하지 않고 챔버 외부에서 비 침투적(noninvasive)인 방법을 사용하여 측정하였다. 이 방범은 신호선 중 한 곳에 측정 점을 잡기 위한 연결 장치만 필요하며 그곳에서의 전안 신호와 전류 신호를 오실로스코프에서 측정한 후 미리 얻어진 챔버 구조 모델링 계수 등을 통해 실제 바이어스 전극에 걸리는 전압 및 전극에서 플라즈마로 흐르는 전류를 유추한다. 전압 및 전류측정값과 power balance와 particle balance를 적용하여 얻은 플라즈마 특성 상태 변수들을 사용하여 oscillating step sheath model을 기반으로 한 분석 프로그램을 통해 실시간 이온에너지 분포 결과를 얻었다. 실제 공정 시 바이어스 주파수 변화, 바이어스 파워 변화, 소스 파워변화 조건 등에 따른 이온 에너지 분포 측정 및 분석을 통해 비 침투적측정방법 적용의 가능성과 장점을 확인하였다.

• Journal of the Microelectronics and Packaging Society
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• v.17 no.4
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• pp.49-60
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• 2010

Semiconductor packages are increasingly moving toward miniaturization, lighter and high performance. Futhermore, packages become thinner. Thin packages will generate serious reliability problems such as warpage, crack and other failures. Reliability problems are mainly caused by the CTE mismatch of various package materials. Therefore, proper selection of the package materials and geometrical optimization is very important for controlling the warpage and the stress of the package. In this study, we investigated the characteristics of the warpage and the stress of several packages currently used in mobile devices such as CABGA, fcSCP, SCSP, and MCP. Warpage and stress distribution are analyzed by the finite element simulation. Key material properties which affect the warpage of package are investigated such as the elastic moduli, CTEs of EMC molding and the substrate. Geometrical effects are also investigated including the thickness or size of EMC molding, silicon die and substrate. The simulation results indicate that the most influential factors on warpage are EMC molding thickness, CTE of EMC, elastic modulus of the substrate. Simulation results show that warpage is the largest for SCSP. In order to reduce the warpage, DOE optimization is performed, and the optimization results show that warpage of SCSP becomes $10{\mu}m$.

• Journal of the Korean Data and Information Science Society
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• v.20 no.5
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• pp.787-796
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• 2009

A random coefficient model is applied when times of the repeated measurements are not fixed in experiments with respect to the subjects. The procedures of the inference of a random coefficient model are same as those of a mixed model. Diet experimental data was used for applying the random coefficient model. Various random coefficient models are investigated for the experimental data, and are compared each other. Finally, optimal random coefficient model would be selected. It resulted from the analysis that for the fixed effect factor, the baseline, treatment, height, and time effect were very significant. The treatment effect of the diet foods and exercises were more effective in losing weight than the effect of the diet foods only. The fixed cubic time effect was very significant. The variance components corresponding to the subject effect, linear time effect, quadratic time effect, and cubic time effect of the random coefficients are all positive. When quartic time effect was added as random coefficients the model did not converge. Thus random coefficients up to the cubic terms was considered as the optimal model.

• The Transactions of the Korea Information Processing Society
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• v.7 no.1
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• pp.296-305
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• 2000

In this paper, we propose the method of embedding the encrypted digital watermark in quantization coefficient when we encode the image data in the process of JPEC. The proposed method is as following. After a DCT coefficient of each block is quantized, we arrange the quantization coefficient as on dimension with a zigzag scan and replace each block. By applying even-odd feature of frequency of the encrypted watermark to a quantization coefficient of some fixed domain of replaced each block and embedding it, we obtain the compressed image data by encoding after placing it in the order prior to replacement. The advantages of the proposed method here are as follows: We can embed many information keeping a secret as much as possible by using the algorithm of block replacement. We can control the amount of embedding of each use, as we embed the encrypted information by selecting some fixed domain of a quantization coefficient, we can fix the embedding data regardless of the image and the value of quantization. We verified the results by experiments and analyzed the efficiency of them in comparison with the former study.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.7
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• pp.4580-4587
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• 2014

This study provides an improved transportation mode choice models applicable to the Busan-Ulsan Metropolitan area by scrutinizing previous study results developed using the multinomial logit model. Although the previous model has an appropriate modeling structure in terms of the sign of coefficient estimates and goodness-of-fit, the model ignores the total number of trips and traffic congestion condition between the two zones and partially reflects zone-specific variables and choice set. Therefore, this study considered all of these modeling faults by re-constructing the representative utility functions. The modeling results show that travelers in Busan-Ulsan metropolitan area tend to choose their mode using mode-specific characteristics rather than the classical travel time and/or cost variables.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.21 no.6
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• pp.610-616
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• 2010

In this paper, particle swarm optimization(PSO) is applied for the design of frequency selective surface based artificial magnetic conductor. An equivalent circuit model for this artificial magnetic conductor(AMC) with Jerusalem Cross arrays was derived and then PSO was applied for obtaining the optimized geometrical parameters with desired resonant frequency. The resonant frequency and the reflection phase characteristics from the optimization were compared to the results from commercial software for verifying the validity of this paper. The procedure presented in this paper can be applied to design the AMC with different frequency selective surface and also can be used for the design of microwave circuits like the AMC ground planes.

• Culinary science and hospitality research
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• v.15 no.3
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• pp.15-28
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• 2009

The purpose of this study is to examine customer behavior when choosing event menu at the banquet restaurant of a five-star hotel and analyze the factors of choosing the menu and its customer satisfaction. Based on the results of this study, it is possible for hotel mangers to develop good banquet event menu choices and use them when changing menu. This study adopts the Enter Method, and "t" defines 3 variables such as physiological intent, quality of food, and reasonable price. However, the other factors such as sensory images of food, contents of menu, promotion menu, cleanliness and services prove not to be important variables in this study. Among most important 3 variables, quality of food with the highest figure($\beta$ .416) is the most important variable to customer satisfaction followed by physiological intent ($\beta$ .283) and resonable price($\beta$ .134).

• Environmental and Resource Economics Review
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• v.20 no.1
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• pp.119-153
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• 2011

This study reviews various aspects of model formulating processes of dichotomous choice responses of the contingent valuation method (CVM), which has been increasingly used in the preliminary feasibility test of Korea public investment projects. The theoretical review emphasizes the consistency between WTP estimation process and WTP measurement process. The empirical analysis suggests that two common parametric models for dichotmous choice responses (RUM and RWTP) and two commonly used probability distributions of random components (probit and logit) resulted in all most the same empirical WTP distributions, as long as the WTP functions are specified to be a linear function of the bid amounts. However, the efficiency gain of DB response compared to SB response were supported on the ground that the two CV responses are derived from the same WTP distribution. Moreover for the exponential WTP function which guarantees the non-negative WTP measures, sample mean WTP were quite different from median WTP if the scale parameter of WTP function turned out to be large.