• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.11a
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• pp.221-222
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• 2022

In this study, the work flow of the construction process was analyzed based on construction monitoring for a building of the middle size beam-column system Precast Concrete(PC) apartment building supplied by LH, and the Arrow Daigram Method(ADM) network diagram of its construction was written. The results of this study are judged to be able to improve productivity by using the PC structure apartment building construction plan to calculate a reasonable construction period and prepare a process management method for the PC structure frame construction.

• Communications for Statistical Applications and Methods
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• v.20 no.3
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• pp.175-184
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• 2013

Kernel principal component analysis(PCA) maps observations in nonlinear feature space to a reduced dimensional plane of principal components. We do not need to specify the feature space explicitly because the procedure uses the kernel trick. In this paper, we propose a graphical scheme to represent variables in the kernel principal component analysis. In addition, we propose an index for individual variables to measure the importance in the principal component plane.

• Journal of Korean Port Research
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• v.14 no.2
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• pp.155-163
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• 2000

A discrete system has interpreted by using the network model, and PERT network is one of these methods. For the purpose of analysing the real system, it is necessary to measure the parameter of the real system. And system identification problem is to assume the parameter of a real system when we get to know the system model, the input data and output data. System identification method has been only developed to a system of which a structure has expressed a differential equation or a polynomial expression. But it has been scarcely developed yet in that case of network model. The aim of this paper is to examine a changes when new system is introduced to the present system. The changes are as follows : how the present system will be changed, when the changes will be happened. In this paper, genetic algorithm is used to assume the parameter.