• Proceedings of the Computational Structural Engineering Institute Conference
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• 1993.10a
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• pp.106-112
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• 1993

This paper presents the optimum design of reinforced concrete conical shell which is fixed at the base and free at the top. The calculation of stresses is done using the SMAP(Segmented Matrix Analysis Package)program which uses the simple finite element method of analysis. The objective function contains the ratios of the unit cost of reinforcements and formwork to that of concrete. To Simplify the optimization procedure, the final optimum design of conical shell is obtained by combining the result of each element. The results are presented and discussed.

• Proceedings of the Korean Society of Dyers and Finishers Conference
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• 2009.11a
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• pp.143-144
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• 2009

This is studies about development of natural stretch Cotton-like fabric of using PET yarns. The natural stretch Cotton-like yarn is a complex yarn combining PET spiral crimp yarn and PET POY yarn using air texturing technology. The complex yarn is natural stretch function and cotton-like effect itself by technology of air texturing process.

• Proceedings of the Earthquake Engineering Society of Korea Conference
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• 1998.04a
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• pp.123-130
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• 1998

The probability of unseating failure of the bridge spans under earthquakes is investigated. Seismic excitations are simulated as nonstationary processes by combining a stationary process and an intensity function. For computational convenience, a simplified single-degree-of-freedom model is adopted, which retains the dynamic characteristics of the original brige motion in concern. The time history analysis for the developed single degree-of-freedom model are carried out to evaluate the response processes, and the probabilistic characteristics of response displacements are evaluated. The reliability analysis of the bridge against the unseating failure is performed with the statistical information of the maximum displacements of responses.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.05a
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• pp.126-129
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• 2000

In order to approximate a nonlinear function, wavelet neural networks combining wavelet theory and neural networks have been proposed as an alterantive to coventional multi-layered neural networks. Wavelet neural networks provide better approximating performance than conventional neural networks. In this paper, an effective method to construct an optimal wavelet neural network is proposed using genetic algorithm. This is verified through experimental results.

• Journal of Korean Institute of Industrial Engineers
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• v.26 no.3
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• pp.213-219
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• 2000

Combination of AHP priorities is essential in combining opinions of multiple experts. There are two ways to get combined priorities: one is to combine the pairwise matrices and obtain the priority from it and another is to combine the individual priorities. In this paper, we use a Dirichlet probability model to combine the priorities from multiple experts. The resulting combined priority is an expected value of the model, which is a function of some measure of the homogeneity and credibility of the group of experts. We give some interpretations of this measure and illustrate them by numerical example.

• Journal of applied mathematics & informatics
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• v.23 no.1_2
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• pp.361-367
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• 2007

In this paper we propose an implementable method for solving a nonsmooth convex optimization problem by combining Moreau-Yosida regularization, bundle and quasi-Newton ideas. The method we propose makes use of approximate subgradients of the objective function, which makes the method easier to implement. We also prove the convergence of the proposed method under some additional assumptions.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.40 no.12
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• pp.1296-1301
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• 1991

This paper presents a hybrid image mode Galerkin method for the analysis of the transmission line structures suspended between infinite parallel ground planes. A Green's function that consists of numerically accelerated image mode terms is developed, which is used in boundary integral equation. Transmission lines of arbitrary cross section are analyzed using Galerkin's method. Two kinds of configurations of transmission lines are studied in sample problems.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.6 s.154
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• pp.880-891
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• 2006

This study is to be focused on the sportswear combining common wear with the design elements of activewear. The objectives of this study are four designers in compliance with the book of Ann Marie Fiore and Patricia Anne Kimle; Calvin Klein, Donna Karan, Ralph Lauren and Anna Sui and the times to be studied are limited to the early 21st Century from 2001 to 2005. Main results are as follow. This research divides sportswear into four groups; 'Function oriented style', 'Sensible style', 'Retro American sports style', and 'Street sports style'. Comparison of four designers' sportswear shows that Calvin Klein is function oriented, Donna Karan is function oriented and sensitivity driven, whereas Ralph Lauren focuses on retro American sports style along with function oriented characteristics. Anna Sui places emphasis on youth oriented street sports style. In terms of color, Calvin Klein and Donna Karan use White & Black and natural tone while Ralph Lauren uses pastel tone, and Anna Sui uses mostly vivid colors. In terms of material, Calvin Klein and Donna Karan use mostly elastic and synthetic materials whereas Ralph Lauren and Anna Sui use natural materials.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38A no.6
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• pp.512-519
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• 2013

In this paper, we propose a novel unambiguous correlation function for composite binary offset carrier (CBOC) signal tracking. First, we observe that a sub-carrier of CBOC signal is seen as a sum of four partial sub-carriers, and generate four partial-correlations composing the CBOC autocorrelation. Then, we obtain an unambiguous correlation function with a sharp main-peak by re-combining the partial correlations. From numerical results, we confirm that the proposed unambiguous correlation function offers a better tracking performance than the conventional correlation functions in terms of the tracking error standard deviation and multipath error envelope.

• Journal of the Institute of Convergence Signal Processing
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• v.14 no.1
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• pp.6-12
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• 2013

Mammography is the most common technique for the early detection of breast cancer. To diagnose correctly and treat of breast cancer efficiently, many image enhancement methods have been developed. This paper presents a nonlinear image enhancement method for the enhancement of digital mammogram. The proposed method is composed of a nonlinear function for brightness improvement and a nonlinear filter for contrast enhancement. The nonlinear function improves the brightness of dark area and extends the dynamic range of bright area, and the nonlinear filter efficiently enhances the specific regions and objects of the mammogram. The final enhanced image was obtained by combining the processed image with the nonlinear function and the filtered image with the nonlinear filter. The proposed nonlinear image enhancement method was confirmed the enhanced performance comparing with other existing methods.