• IE interfaces
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• v.8 no.1
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• pp.31-43
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• 1995

This study is intended to develop a technology cost model (TCM) which treats technology costs appropriately under present advanced manufacturing technology environment. TCM is composed of two elements : cost classification system and cost allocation model. It is proposed to include technology-related department expenses as well as technology investment in the categories of technology costs. For the cost allocation, technology activities are divided into four homogeneous groups. Costs are accumulated into one of the four cost pools and allocated to the cost object using the pool's unique allocation base. It is also proposed to use the capital recovery costs including interest expense rather than the depreciation costs for an invested capital. A case study is performed to verify the applicability of the developed model.

• International Journal of Fluid Machinery and Systems
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• v.8 no.2
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• pp.84-93
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• 2015

The computational cost is expensive for CFD-DEM simulation, a larger time step and a simplified CFD-DEM model can be used to accelerate the simulation. The relationship between stiffness and overlap in non-linear Hertzian model is examined, and a reasonable time step is determined by a new single particle test. The simplified model is used to simulate dilute pneumatic conveying with different types of bends, and its applicability is verified by compared with the traditional model. They are good agreement in horizontal-vertical case and vertical-horizontal case, and show a significant differences in horizontal-horizontal case. But the key features of particle rope formed in different types of bends can be obtained by both models.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1999.04a
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• pp.3-10
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• 1999

This paper presents probabilistic risk assessment system model and methods for general construction projects and demonstrates the applicability of the approach to a specific subway construction project. The proposed system model entitled Integrated Risk Assessment System(IRAS) for construction projects is composed of four steps, which is newly reorganized and improved in order to be easily adjusted for a systematic PRA of construction projects. Based on the proposed model, and integrated prototype software is then developing for computer-aided PRA of construction projects under the environment of the graphic-user interface, which will be successfully applied to construction projects.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2003.10a
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• pp.523-526
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• 2003

This study is to test the applicability of SLURP (Semi-distributed Land Use-based runoff Process) model that is a semi-distributed, continuous hydrologic model developed by Kite (1997). The Soyanggang-dam watershed ($2,694km^2$) was selected. The DEM, land-cover map, monthly NDVI from NOAA/AVHRR and daily meteorological data of 2001 were prepared. By using the parameter optimization technique, SCE-UA (Shuffled Complex Evolution-University of Arizona), the model was calibrated and the Nash-Sutcliffe efficiency was 0.73.

• Journal of Ocean Engineering and Technology
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• v.20 no.6 s.73
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• pp.35-40
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• 2006

In recent years, there's been strong demand for seawalls that havea gentle slope and permeability that serveswater affinity and disaster prevention from wave attack. The aim of this study is to examine wave transformation, including wave run-up that propagates on the coastal structures. A numerical model based on the weak nonlinear dispersive Boussinesq equation, together with the unsteady nonlinear Darcy law for fluid motion in permeable layer, is developed. The applicability of this numerical model is examined through Deguchi and Moriwaki's hydraulic model test on the permeable slopes. From this study, it is found that the proposed numerical model can predict wave transformation and run-up on the gentle slope with a permeable layer, but can't show accurate results for slopes steeper than about 1:10.

• Journal of the Korea Institute of Building Construction
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• v.2 no.4
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• pp.153-161
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• 2002

Recently our government operates earned value management system (EVMS) for improving work management system of the construction projects over specific scale. The EVMS is based on the integrated management between construction cost and schedule. the existing systems, however, are focused on the cost management by using work quantity. This study suggests a work management model to integrate construction cost with activity information. The model introduces a work task concept as a tool that can connect construction rest to activity information. The suggested model in this study is verified by using actual data for the applicability to practical construction projects.

• Journal of the Korean Society for Precision Engineering
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• v.20 no.10
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• pp.130-140
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• 2003

This paper presents an $H_\infty$controller synthesis based on disturbance observer for the trajectory control of a hydraulic excavator. Compared to conventional robot manipulators driven by electrical motors, hydraulic excavator have more nonlinear and coupled dynamics. In particular, the interactions between an excavation tool and the materials being excavated are unstructured and complex. In addition, its operating modes depend on working conditions, which make it difficult to not only derive the exact mathematical model but also design a controller systematically. In this study, the approximated linear model obtained through off-line system identification is used as nominal plant model for a disturbance observer. A disturbance observer based tracking controller which considers the effect of disturbance and model uncertainty is synthesized in $H_\infty$frameworks. Simulation results are used to demonstrate the applicability of the proposed control scheme.

• Journal of the Society of Naval Architects of Korea
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• v.43 no.2 s.146
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• pp.246-257
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• 2006

In the ship building industry, the generation of a structural analysis model, that is, a finite element model of a hull structure, has been manually performed by a designer and thus has required lots of time as compared with that of a mechanical part, because of many constraints, the complexity, and the huge size of the hull structure. To make this task automatic, a generation method of the structural analysis model is proposed through the reconstruction of the topological information of a hull structural model in this study. The applicability of the proposed method is demonstrated by applying it to the generation of the structural analysis model of a deadweight 300,000ton VLCC(Very Large Crude oil Carrier).

• Journal of Korea Water Resources Association
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• v.34 no.2
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• pp.187-195
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• 2001

In this study, a numerical model describing the shallow-water equations is newly developed by using a TVD scheme. The model has a second-order accuracy in time and space and is free from nonphysical oscillations, even in the vicinity of large gradients. Because a upwind based TVD scheme requires a Riemann solver, the HLLC scheme is employed in this model. To calibrate the applicability and accuracy, the developed model is used to simulate dam-break waves in an ideal channel and a sloshing flow n a paraboloidal basin. Agreements between numerical predictions and analytical solutions are very resonable.

• Journal of Auto-vehicle Safety Association
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• v.13 no.4
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• pp.33-38
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• 2021

This paper presents a comparative study between the parameter-optimized Pacejka model and artificial neural network model for the tire force estimation. The two different approaches are investigated and compared in this study. First, offline optimization is conducted based on Pacejka Magic Formula model to determine the proper parameter set for the minimization of tire force error between the model and test data set. Second, deep neural network model is used to fit the model to the tire test data set. The actual tire forces are measured using MTS Flat-Track test platform and the measurements are used as the reference tire data set. The focus of this study is on the applicability of machine learning technique to tire force estimation. It is shown via the regression results that the deep neural network model is more effective in describing the tire force than the parameter-optimized Pacejka model.