• Korean Journal of Construction Engineering and Management
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• v.13 no.5
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• pp.135-143
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• 2012

Constructing super-tall buildings is significantly different from constructing general ones in every technological and managerial aspects. Especially lift-car operations planning and management is one of core parts among various management techniques required during the course of the whole construction process of the super-tall buildings because vertical movements of physical resources enormously affect the efficiency of the construction processes. However, discrepancy between lifting plans and actual lifting operations causes serious efficiency problems. As an effort to solve the problem, this research suggests an improved method of estimating resource-based lifting load. The computing model developed as a result of this research facilitates more accurate computation of the total operation time and the maximum lifting capacity of the lift-cars. Further, this research can be developed as a decision support system for the total lift-car operations management.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2006.06b
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• pp.349-354
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• 2006

This study analyzed the fluid state around a container crone according to a wind direction when a wind load was applied to a container crone. The container crane for this research is a model of a 50-ton class used broadly in the current ports. The dimension of an external fluid field set up diameter, 300m, height, 200m. This study considered the change of a wind velocity according to an altitude in a criterion of a wind velocity, 50m/s, applying a power series law. An incident angle applied to an interval of 30 degrees in $0^{\circ}{\sim}180^{\circ}$ and this study carried out a computation fluid dynamics using a CFX-10. In this study, we indicate the wind pressure according to the height and section figure of each member. In addition, we suggest the wind pressure accordint to a wind direction. And we will analyze the structure stability of a container crone from the fluid-ductile analysis in the next study.

• Journal of Navigation and Port Research
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• v.32 no.1
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• pp.23-27
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• 2008

This study was carried out to the effect of wind load on the structural stability of an articulated type container crane according to the wind direction assuming that 75m/s wind velocity is applied on a container crane using FSI(fluid-structural interaction). To consider fluid phenomenon around the container crane, the wind load was derived by the computation fluid dynamic, and it applied to the FSI which can guarantee an accuracy and a reliability in the design stage for wind resistant structural stability to minimize the damage due to high wind load applied in a container crane with a 'ㄱ' type articulated boom which used in the total height restriction region. Following from this, the reaction force on the each support of a container crane was suggested. ANSYS ICEM CFD 10.0 and ANSYS CFX 10.0 used for computation fluid dynamic, and the ANSYS Workbench 11.0 was used for the fluid-structural interaction.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.7 no.3
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• pp.257-264
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• 1995

Various factors are investigated on the bed load transport driven by waves and current, and proper forms of bed load transport formulas mainly used in river hydraulics are chosen for the estimation of combined flow bed load transport after considering the additional factors. The BYO Model is employed for the computation of maximum bed shear stress and mean bed shear stress of the combined flow. The friction factor of uni-directional flow is estimated by using modified Keulegan equation, and equivalent roughness height is determined by obtaining correct answer for the bed shear stress of uni-directional flow. Empirical constant in each bed load formula is determined by applying it to Bijker's laboratory data of bed load transport by waves and current and the formulas obtained are discussed on their final forms with the values of empirical constants.

• Structural Engineering and Mechanics
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• v.76 no.4
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• pp.529-540
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• 2020

Concurrent topology optimization of macrostructure and microstructure has attracted significant interest due to its high structural performance. However, most of the existing works are carried out under deterministic conditions, the obtained design may be vulnerable or even cause catastrophic failure when the load position exists uncertainty. Therefore, it is necessary to take load position uncertainty into consideration in structural design. This paper presents a computational method for robust concurrent topology optimization with consideration of load position uncertainty. The weighted sum of the mean and standard deviation of the structural compliance is defined as the objective function with constraints are imposed to both macro- and micro-scale structure volume fractions. The Bivariate Dimension Reduction method and Gauss-type quadrature (BDRGQ) are used to quantify and propagate load uncertainty to calculate the objective function. The effective properties of microstructure are evaluated by the numerical homogenization method. To release the computation burden, the decoupled sensitivity analysis method is proposed for microscale design variables. The bi-directional evolutionary structural optimization (BESO) method is used to obtain the black-and-white designs. Several 2D and 3D examples are presented to validate the effectiveness of the proposed robust concurrent topology optimization method.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.77-87
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• 2021

In this study, a novel improved second order Radial Basis Function Neural Network based method with excellent scheduling capabilities is used for the dynamic prediction of short and long-term energy required applications. The effectiveness and the reliability of the algorithm are evaluated using training operations with New England-ISO database. The dynamic prediction algorithm is implemented in Matlab and the computation of mean absolute error and mean absolute percent error, and training time for the forecasted load, are determined. The results show the impact of temperature and other input parameters on the accuracy of solar Photovoltaic load forecasting. The mean absolute percent error is found to be between 1% to 3% and the training time is evaluated from 3s to 10s. The results are also compared with the previous studies, which show that this new method predicts short and long-term load better than sigmoidal neural network and bagged regression trees. The forecasted energy is found to be the nearest to the correct values as given by England ISO database, which shows that the method can be used reliably for short and long-term load forecasting of any electrical system.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.286-290
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• 2004

This paper deals with tipping over of hydraulic excavator's crane work. If the excavator lifts too heavy weight, the excavator will be tipped up. This is account for 38% of whole excavator accidents. In this paper, tipping-over load which is maximum load of excavator can lift with displacement of excavator links, real load and tipping-over rate are computed with Zero Moment Point theory. ZMP is verified with simulation and experiment.

• Proceedings of the KIPE Conference
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• 2000.07a
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• pp.155-158
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• 2000

A new control method for single-phase shunt active power line conditioners(APLC's) operated under zero average power consumption is proposed in this paper. The amplitude of the sinusoidal source current which is in-phase with the source voltage can be determined from the average value of the instantaneous load power. Then the command current for the shunt APLC is obtained by subtraction the source current from the load current. Neither bulky filter nor time-consuming computation is required. The shunt power compensator supplies all the harmonics of he load current and the source only supplies the fundamental component,. Experimental results on a prototype verify the feasibility of the presented scheme,

• Journal of Power Electronics
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• v.16 no.4
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• pp.1612-1620
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• 2016

This paper presents the dynamic excitation control of a siphon-turbine coupled pico-hydro powered cage rotor induction generator and load matching for off-grid electricity generation. Through the proposed dual-role of the current-controlled voltage source converter (VSC), acting as static synchronous compensator and load controller, real and reactive power are dynamically controlled in a decoupled manner with a self supported DC-bus. The proposed scheme entails minimal computation for ensuring the rated (set) capacity of real power. The scheme also exhibits fault immunity for protection, thus enabling the effective handling of constant power electrical loads presented by base telecom station towers in remote locations. The performance of the system is evaluated under MATLAB/Simulink and is experimented through a developed hardware prototype. Simulation and experimental results show close conformity and validate the effectiveness of the proposed scheme.

• IE interfaces
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• v.7 no.2
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• pp.75-85
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• 1994

This paper presents a production scheduling model in a block assembly shop in shipbuilding industry. In a block assembly shop, the most important performance criterion is load leveling, which balances manpower and work area utilization through the planning horizon. The problem is formulated as a mixed-integer nonlinear programming(MINLP) problem of which objective function is to optimize load leveling. The developed MINLP problem can not be solvable due to computational complexity. The MINLP problem is decomposed into two stage mixed-integer linear programming (MILP) problems to obtain a good solution, but the decomposed MILP problems are still computationally intractable because of combinatorial complexity. Therfore, a heuristic method using linear programming is proposed to solve two stage MILP problems sequentially. The proposed heuristic generates a good production schedule within a reasonable computation time, and it is easily applicable for establishing the production schedule in a block assembly shop in shipbuilding industry.