• Journal of applied mathematics & informatics
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• v.16 no.1_2
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• pp.1-17
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• 2004

The famous Newton-Kantorovich hypothesis has been used for a long time as a sufficient condition for the convergence of Newton method to a solution of an equation in connection with the Lipschitz continuity of the Frechet-derivative of the operator involved. Using Lipschitz and center-Lipschitz conditions we show that the Newton-Kantorovich hypothesis is weakened. The error bounds obtained under our semilocal convergence result are finer and the information on the location of the solution more precise than the corresponding ones given by the dominating Newton-Kantorovich theorem, and under the same hypotheses/computational cost, since the evaluation of the Lipschitz also requires the evaluation of the center-Lipschitz constant. In the case of local convergence we obtain a larger convergence radius than before. This observation is important in computational mathematics and can be used in connection to projection methods and in the construction of optimum mesh independence refinement strategies.

• Korean Membrane Journal
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• v.2 no.1
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• pp.1-8
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• 2000

In Kimchi (a salt-pickled and fermented food) manufacturing industry, the process of brining and rinsing the raw vegetable produces a vast amount of wastewater of high salinity. Instead of expensive and low-efficient conventional treatment system, brining wastewater reuse system was developed using hybrid chemical precipitation/microfiltration. In the microfiltration of chemically treated brining wastewater, comparison of flux, backwashing frequency and energy consumption was made between dead-end and crossflow filtration mode. The optimum location of neutralization step in this system was also discussed in connection with the microfiltration performance. The quality test of Kimchi prepared by the reuse system confirmed the new approach was successful in terms of water/raw material(salt) saving and wastewater reduction.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.1B
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• pp.39-45
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• 2006

In this paper, existing technology that uses broadcasting and multicasting IP addrsses at the wireless access network, based on Internet as a core network, is upgraded. By employing broadcasting service request by receivers, convergence of multicasting and broadcasting, and lower level filtering of broadcast data, the load and traffic of network, server, base station, and receiver is substantially reduced. The technology proposed in this paper could be useful for general broadcasting services, and especially optimum for LBS and Telematics services.

• The KSFM Journal of Fluid Machinery
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• v.11 no.2
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• pp.46-54
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• 2008

This study presents a numerical optimization to optimize an axial flow fan blade to increase the efficiency. The radial basis neural network is used as an optimization method with the numerical analysis by Reynolds-averaged Navier-Stokes equations using SST model as turbulence closure. Four design variables related to airfoil maximum camber, maximum camber location, leading edge radius and trailing edge radius, respectively, are selected, and efficiency is considered as objective function which is to be maximized. Thirty designs are evaluated to get the objective function values of each design used to train the neural network. Optimum shape shows the efficiency increased by 1.0%.

• Journal of KSNVE
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• v.9 no.6
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• pp.1106-1115
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• 1999

This paper sums up the study of the soundproof facilities (noise barriers) to be placed on the test track section within the Seoul-Pusan H.S.T. project. The objective of this study is to determine optimum design of soundproof including height, length, location, sound absorbing materials for test track(chonan-taejon). This paper shows the model to design the shape and materials of noise barrier for high speed trains(TGV, ICE, ect). The design of soundproof facilities is to be conducted by MITHRA for the prediction of noise impact of the TGV and for optimising noise barriers in order to reduce the noise generated by high speed trains. A number of computer simulations are carried out in order to determine the specification of noise barrier on test track.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.4 no.4
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• pp.655-670
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• 2010

To be reversible as a data hiding method, the original content and hidden message should be completely recovered. One important objective of this approach is to achieve high embedding capacity and low distortion. Using predicted errors is very effective for increasing the embedding capacity. Sorting the predicted errors has a good influence on decreasing distortion. In this paper, we present an improved reversible data hiding scheme using upgraded histogram shifting based on sorting the predicted errors. This new scheme is characterized by the algorithm which is able to find the optimum threshold values and manage the location map effectively. Experimental results compared with other methods are presented to demonstrate the superiority of the proposed method.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.4 s.97
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• pp.26-36
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• 1999

A general procedure for determining the optimum location of suspension hard points with respect to kinematic design parametes is presented. Suspensions are modeled as connection of rigid bodies by ideal kinematic joints. Constraint equations of the kinematic joints are expressed in terms of the generalized coordinates and hard points. By directly differentiating the constraint equations with respect to the hard points, kinematic sencitivity equations are obtained. In order to cope with algebraic complexity associated with the differentiation process, a symbolic computation technique is used. A performance index is defined in terms of static design parameters such as camber, caster, toe, ect.. Gradient of the performance index can be analytically computed from the kinematic sensitivity equations. Optimization results show the effectiveness and validity of the procedure, which is applicable to any type of suspension if its kinematic configurations are given.

• Proceedings of the KOR-KST Conference
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• 1998.10a
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• pp.226-235
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• 1998

본 논문에서는 추종 모형을 이용한 미시 교통류 시뮬레이션 모형을 개발하고, 이 모형을 통한 시뮬레이션을 통하여 단속류에서 검지기의 설치 위치에 따른 검지 특성을 알아보고, 교통정보 수집용의 검지기의최적 위치에 대해 평가하였다. 검지기로부터 발생하는 교통량, 점유율, 속도 자료중 링크의 통행시간을 가장 잘 반영하는 것은 점유율에 의한 검지기의최적위치는 정지선으로부터 150∼250m이다. 점유율 다음으로 통행시간을 잘 반영하는 자료는 지점속도로서 점유율보다는 상관관계가 낮지만, 양호한 설명력을 가지는 것으로 보인다. 교통량 자료는 상관관계가 낮으며, 교통량에 의한 위치 선정은 각 모의 실험 결과에서 일관적이지 않아 적절한 설명변수가 아니라고 판단하였다. 모든 경우에서, 정지선이나 링크 최상류에 위치한 검지기로부터의 자료는 통행시간과 독립적이므로 이러한 검지기는 교통정보 수집용을 사용할 수 없으며, 일반적인 검지기의최적 위치는 정상상태의 교통류 뿐만 아니라 대기행렬내에 존재하여 매우 혼잡한 상태를 경험할 수 있는 위치라고 할수 있다.

• Journal of Energy Engineering
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• v.28 no.4
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• pp.13-18
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• 2019

The high energy penalty in amine-based post-combustion CO₂ capture process is hampering its industrial scale application. An advanced process is designed by intensive heat integration within the conventional process to reduce the stripper duty. The study presents the technical feasibility for stripper duty reduction by intensive heat integration in CO₂ capture process. A rigorous rate-based model has been used in Aspen Plus® to simulate conventional and advanced process for a 300 MW coal-based power plant. Several design and operational parameters like split ratio, stripper inter-heater location and flowrate were studied to find the optimum values. The results show that advanced configuration with heat integration can reduces the stripper heat by 14%.

• Smart Structures and Systems
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• v.15 no.5
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• pp.1253-1270
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• 2015

In this paper Magnetic Charged System Search (MCSS) and Particle Swarm Optimization (PSO) are applied to the problem of damage detection using frequencies and mode shapes of the structures. The objective is to identify the location and extent of multi-damage in structures. Both natural frequencies and mode shapes are used to form the required objective function. To moderate the effect of noise on measured data, a penalty approach is applied. A variety of numerical examples including two beams and two trusses are considered. A comparison between the PSO and MCSS is conducted to show the efficiency of the MCSS in finding the global optimum. The results show that the present methodology can reliably identify damage scenarios using noisy measurements and incomplete data.