• Journal of Advanced Marine Engineering and Technology
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• v.28 no.2
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• pp.200-209
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• 2004

The fuzzy control based on $\alpha$-level fuzzy set decomposition. It is known to produce quick response and calculating time of fuzzy inference. This paper derived the embodiment computational algorithm for defuzzification by min-max fuzzy inference and the center of gravity method based on $\alpha$-level fuzzy set decomposition. It is easy to realize the fuzzy controller hardware. based on the calculation formula. In addition. this study proposed a circuit that generates PWM actual signals ranging from fuzzy inference to defuzzification. The fuzzy controller was implemented with mixed analog-digital logic circuit using the computational fuzzy inference algorithm by min-min-max and defuzzification by the center of gravity method. This study confirmed that the fuzzy controller worked satisfactorily when it was applied to the position control of a dc servo system.

• Journal of Korea Multimedia Society
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• v.20 no.7
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• pp.1014-1023
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• 2017

In this paper, we propose a method for estimating the human height by using downward depth images. We detect a point with the lowest depth value in an object as top of the head and estimate the height by calculating the depth difference with the floor. Since the depth of the floor varies depending on the angle of the camera, the correction formula is applied. In addition, the binarization threshold is variably applied so that height can be estimated even when several people are adjacent. Simulation results show that the proposed method has better performance than the conventional methods. The proposed method is expected to be widely used in body measurement, intelligent surveillance, and marketing.

• Magazine of the Korean Society of Agricultural Engineers
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• v.40 no.6
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• pp.89-94
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• 1998

Stock(1992) had developed the graph for solving the penetration depth, tieforce of anchor and maximum bending moment of sheet-pile wall for cantilever and free earth supported anchored wall. Kim(1995) had developed graph for design of fixed earth supported anchored wall. In this paper, the simplified formulas for calculating the penetration depth, tieforce of anchor and maximum bending moment of sheet-pile wall was developed for fixed earth supported anchored wall in sand. The developed formulas may be helpful for design or sheet pile wall.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.1 no.1
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• pp.1-8
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• 1989

This paper treats the temperature effectiveness of the two-fluid counterflow regenerator in a rotary type. To avoid continual interpolation and to obtain the simple result in calculating that, it obtained the particular solution for the direct-transfer-type counterflow heat exchanger by the graphical procedures. Also, it introduced the empirical formula for the influence of the ratio of rotor matrix to minimum working fluid heat capacity rate with the particular solution induced. Particularly, substituting the published results of temperature effectiveness into the program, it obtained the simple and convenient equation which can applicate in the counterflow regenerator in a rotary type. To compare and discuss the results induced, selecting the regenerative air preheater and applying the their running datum and specifications to the related results, it shows that the above results are agree with the published results within absolute relative error, 3.0%.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.7
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• pp.1226-1231
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• 2010

This paper looks at the influence of Financial Transmission Rights (FTRs) on the market value(Social Welfare; SW) in the competitive electricity market. The transmission line constraints make it difficult to compute the Nash Equilibrium (NE) due to causing a mixed strategy NE instead of a pure strategy NE. Computing a mixed strategy is more complicated in a multi-player game. The aim of this paper are to compute a mixed strategy NE and analyze SW in power transaction with FTRs. This paper introduces a formula and a technique for solving NE of multi-player game with FTRs. In addition, it analyzes the influence of holding of FTRs by generation company on SW and it proposes the SW at NE is influenced by Power Transfer Distribution Factor (PTDF) where holder of FTRs are located. The assertion is verified by calculating the mixed strategy utilizing the Cournot model widely used for studies on FTRs.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.1
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• pp.74-82
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• 2015

Two key challenges in statistical relational learning are uncertainty and complexity. Standard frameworks for handling uncertainty are probability and first-order logic respectively. A Markov logic network (MLN) is a first-order knowledge base with weights attached to each formula and is suitable for classification of dataset which have variables correlated with each other. But we need domain knowledge to construct first-order logics and a computational complexity problem arises when calculating weights of first-order logics. To overcome these problems we suggest a method to generate first-order logics and learn weights using association analysis in this study.

• Journal of the Korean Home Economics Association
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• v.39 no.11
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• pp.223-232
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• 2001

This study, by explaining the relationship between mechanical properties and clothing formability, aims to propose functional data for tailoring performance of fabrics of good tailorability. The KES-FB system was used to measure factors of mechanical properties and also the technique of stepwise-block-regression method was applied to investigate relationship between functional properties and mechanical properties of men's shirks. As results of vasual inspection of men's shirts, it showed that good fabrics had higher value in the LT, bending properties, shear properties and RC than poor fabrics in Total Appearance Value(TAV). And finally, A formula was obtained for calculating the VIA of men's shirts from functional properties which were calculated from the mechanical properties.

• Proceedings of the KIEE Conference
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• 2002.06a
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• pp.29-33
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• 2002

There are a lot of errors and little accuracy when calculating the grounding resistance with the transposition methods in the equivalent surface of hemisphere electrode. Therefore we should calculate the grounding resistance by using the mesh factor, In this paper, we would estimate the grounding value of mesh electrode with water tank model & estimation method using the reduced scale ratio of mesh electrode based on the theory of model electrode & proportional factor according to the reduced scale ratio. And also we have confirmed the accuracy of the empirical formula of model electrode by using the regression analysis.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.11a
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• pp.16-17
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• 2019

In order to measure the amount of carbon dioxide emitted from the construction sites, many literature which have been conducted have proposed methodologies for calculating coefficients based on actual data collections for estimating the emission formula. The existing data collected under controlled conditions not on site measurement were too limited to apply in actual sites. The purpose of this study is to conduct analysis based on the data measured in fields and to present predictive models using artificial neural network and nonlinear regression analysis for appropriate predictions and practical applications.

• International journal of advanced smart convergence
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• v.7 no.4
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• pp.57-65
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• 2018

Artificial neural network is inspired by the biological neural network. For simplicity, in computer science, it is represented as a set of layers. Many research has been made in evaluating the number of neurons in the hidden layer but still, none was accurate. Several methods are used until now which do not provide the exact formula for calculating the number of thehidden layer as well as the number of neurons in each hidden layer. In this paper model selection approach was presented. Proposed model is based on geographical analysis of decision boundary. Proposed model selection method is useful when we know the distribution of the training data set. To evaluate the performance of the proposed method we compare it to the traditional architecture on IRIS classification problem. According to the experimental result on Iris data proposed method is turned out to be a powerful one.