• Korean Journal of Computational Design and Engineering
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• v.10 no.3
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• pp.217-223
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• 2005

Tight integration between design and analysis processes and the data representation in the ship design application domain have been studied in this paper. Multi-Representation Architecture for design and analysis integration, proposed at Georgia Institute of Technology, has been carefully investigated for the application in the initial ship design stage. The MRA approach facilitates efficient generation of analysis models from the initial ship design data, thus reducing design lead time. Easy generation of analysis model is important because it allows quick analysis iteration under frequent design changes. The SMM, ABB and PBAM are defined for the analysis model of the typical ship structure. Only a part of the typical initial ship design data has been considered in the experimental implementation of the proposed approach. However, the prototype implementation shows that the application of MRA approach in the structural ship design domain is quite feasible. It is also contemplated that the same approach can be extended for other design and analysis views in the ship design domain.

• 한국정보디스플레이학회:학술대회논문집
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• 2007.08b
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• pp.1807-1810
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• 2007

The evolution of a multi viewer autostereoscopic display is described. Development of the display was originally a part of the EC funded 'ATTEST' project and continues as another EC project 'MUTED'. The design of the original display is presented and the limitations of the prototype are described. The current iteration of the design is presented.

• Journal of Navigation and Port Research
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• v.32 no.3
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• pp.223-228
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• 2008

As most of small fishing boats made of FRP have been constructed by experience in Korea, some structural safety problems have been occurred occasionally. To improve the structural strength and reduce the costs for construction and operation, optimum design for small fishing boat was carried out in this study. The weight of fishing boat and the main dimensions of structural members are chosen as objective function and design variables, respectively. By the combination of global and local search methods, a hybrid optimization algorithm was developed to escape the local minima and reduce CPU time in analysis procedure, and finite element analysis was performed to determine the constraint parameters at each iteration step in optimization loop. Optimization results were compared with the real existing fishing boat, and the effects of optimum design were examined from points of view; structural strength, material cost, etc.

• Earthquakes and Structures
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• v.5 no.1
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• pp.83-109
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• 2013

A simple damper optimization method is proposed to find optimal damper allocation for shear buildings under both target added damping ratio and interstorey drift ratio (IDR). The damping coefficients of added dampers are considered as design variables. The cost, which is defined as the sum of damping coefficient of added dampers, is minimized under a target added damping ratio and the upper and the lower constraint of the design variables. In the first stage of proposed algorithm, Simulated Annealing, Nelder Mead and Differential Evolution numerical algorithms are used to solve the proposed optimization problem. The candidate optimal design obtained in the first stage is tested in terms of the IDRs using linear time history analyses for a design earthquake in the second stage. If all IDRs are below the allowable level, iteration of the algorithm is stopped; otherwise, the iteration continues increasing the target damping ratio. By this way, a structural response IDR is also taken into consideration using a snap-back test. In this study, the effects of the selection of upper limit for added dampers, the storey mass distribution and the storey stiffness distribution are all investigated in terms of damper distributions, cost function, added damping ratio and IDRs for 6-storey shear building models. The results of the proposed method are compared with two existing methods in the literature. Optimal designs are also compared with uniform designs according to both IDRs and added damping ratios. The numerical results show that the proposed damper optimization method is easy to apply and is efficient to find optimal damper distribution for a target damping ratio and allowable IDR value.

• Transactions of the Korean Society of Mechanical Engineers
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• v.5 no.4
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• pp.362-367
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• 1981

Two categories in the design of thick cylinders are suggested and their computer programs are developed; the one termed processing design to ensure the precise inner radius of the cylinder and the other, termd stress compensation design to reduce peak stresses in the cylinder wall. The processing design seeks suitable interference by the method of linear iteration to determine either the radius of the mandrel R or the inner radius ofthe chlinder R$\sub$1/. On the other hand, the stress compensation design seeks first the suitable m and which satisfies the design criteria .sigma.$\sub$actual/ < .sigma.$\sub$allowable/ and then tries to find the suitable interference for given m and .zeta. The design program developed here may be used either in the office at the planning stage of thick chlinders as machine elements of on the processing line to get precise final dimension of inner radius.

• Proceedings of the KIEE Conference
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• 1998.07a
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• pp.241-243
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• 1998

This paper describes a new method for the faster shape optimization of the electromagnetic devices. In a conventional iterative method of shape design optimization using design sensitivity based on a finite element method, meshes for a new shape of the model are generated and a discretized system equation is solved using the meshes in each iteration. They cause much design time. To save this time, a polynomial approximation of the finite element solution with respect to the geometric design parameters using Taylor expansion is constructed. This approximate state variable expressed explicitly in terms of design parameters is employed in a gradient-based optimization method. The proposed method is applied to the shape design of quadrupole magnet.

• Journal of Electrical Engineering and Technology
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• v.3 no.2
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• pp.207-212
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• 2008

This paper presents a robust and computationally efficient optimal design algorithm for electromagnetic devices by combining an adaptive response surface approximation of the objective function and($1+{\lambda}$) evolution strategy. In the adaptive response surface approximation, the design space is successively reduced with the iteration, and Pareto-optimal sampling points are generated by using Latin hypercube design with the Max Distance and Min Distance criteria. The proposed algorithm is applied to an analytic example and TEAM problem 22, and its robustness and computational efficiency are investigated.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.5B
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• pp.830-841
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• 2000

We extend the sue of the method of least square to develop a recursive algorithm for the design of adaptive transversal filters such that, given the least-square estimate of this vector of the filter at iteration n-1, we may compute the updated estimate of this vector at iteration a upon the arrival of new data. We begin the development of the RLS algorithm by reviewing some basic relations that pertain to the method of least squares. Then, by exploiting a relation in matrix algebra known as the matrix inversion lemma, we develop the RLS algorithm. An important feature of the RLS algorithm is that it utilizes information contained in the input data, extending back to the instant of time when the algorithm is initiated. In this paper, we propose new tap weight updated RLS algorithm in adaptive transversal filter with data-recycling buffer structure. We prove that convergence speed of learning curve of RLS algorithm with data-recycling buffer is faster than it of exiting RL algorithm to mean square error versus iteration number. Also the resulting rate of convergence is typically an order of magnitude faster than the simple LMS algorithm. We show that the number of desired sample is portion to increase to converge the specified value from the three dimension simulation result of mean square error according to the degree of channel amplitude distortion and data-recycle buffer number. This improvement of convergence character in performance, is achieved at the (B+1)times of convergence speed of mean square error increase in data recycle buffer number with new proposed RLS algorithm.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.4
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• pp.31-39
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• 2004

The ARM7 TDMI microprocessor employ a software routine iteration method in order to handle integer division operation, but this method has long execution time and many execution instruction. In this paper, we proposed ARM7 TDMI microprocessor with integer division instruction. To make this, we additionally defined UDIV instruction for unsigned integer division operation and SDIV instruction for signed integer division operation, and proposed ARM7 TDMI microprocessor data Path to apply division algorithm. Applied division algorithm is nonrestoring division algorithm and additive hardware is reduced using existent ARM data path. To verify the proposed method, we designed proposed method on RTL level using HDL, and conducted logic simulation. we estimated the number of execution cycles and the number of execution instructions as compared proposed method with a software routine iteration method, and compared with other published integer divider from the number of execution cycles and hardware size.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1991.10a
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• pp.57-62
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• 1991

For the purpose of developing the method for efficiently calculating the design sensitivity and the reliability for the complicated structure such as ship structure, the probabilistic finite element method is introduced to formulate the deterministic design sensitivity analysis method and incorporated with the second moment reliability methods such as MVFOSM, AFOSM and SORM. Also, the probabilistic design sensitivity analysis needed in the reliability-based design is performed. The reliability analysis is carried out for the initial yielding failure, in which the derivative derived in the deterministic desin sensitivity is used. The present PFEM-based reliability method shows good agreement with Monte Carlo method in terms with the variance of response and the associated probability of failure even at the first or first few iteration steps. The probabilistic design sensitivity analysis evaluates explicitly the contribution of each random variable to probability of failure. Further, the reliability index variation can be easily predicted by the variation of the mean and the variance of the random variables.