• Title/Summary/Keyword: Simplex method

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Hybrid Fuzzy PI-Control Scheme for Quasi Multi-Pulse Interline Power Flow Controllers Including the P-Q Decoupling Feature

  • Vural, Ahmet Mete;Bayindir, Kamil Cagatay
    • Journal of Power Electronics
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    • v.12 no.5
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    • pp.787-799
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    • 2012
  • Real and reactive power flows on a transmission line interact inherently. This situation degrades power flow controller performance when independent real and reactive power flow regulation is required. In this study, a quasi multi-pulse interline power flow controller (IPFC), consisting of eight six-pulse voltage source converters (VSC) switched at the fundamental frequency is proposed to control real and reactive power flows dynamically on a transmission line in response to a sequence of set-point changes formed by unit-step reference values. It is shown that the proposed hybrid fuzzy-PI commanded IPFC shows better decoupling performance than the parameter optimized PI controllers with analytically calculated feed-forward gains for decoupling. Comparative simulation studies are carried out on a 4-machine 4-bus test power system through a number of case studies. While only the fuzzy inference of the proposed control scheme has been modeled in MATLAB, the power system, converter power circuit, control and calculation blocks have been simulated in PSCAD/EMTDC by interfacing these two packages on-line.

Transdermal Permeation of $[{^3}H]Acyclovir$ Using Niosome (니오솜을 이용한 $[^{3}H]$아시클로버의 경피투과)

  • Park, Sae-Hae;Lee, Soon-Young;Yong, Chul-Soon
    • Journal of Pharmaceutical Investigation
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    • v.28 no.1
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    • pp.43-50
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    • 1998
  • Niosomes are vesicles formed from synthetic non-ionic surfactants, offering an alternative to chemically unstable and expensive liposomes as a drug carrier. Non-ionic surfactant and cholesterol mixture film leads to the formation of vesicular system by hydration with sonication method. The formation of niosome was ascertained by negative staining of TEM. The entrapment efficiency of niosomal suspension was gradually increased with increasing the ratio of cholesterol to surfactant. It was found that the niosome with 6 : 4 (polyoxyethylene 2-cetyl ether: cholesterol) ratio was more stable than those with other ratios. The topical application of acyclovir(ACV) in the treatment of herpes simplex virus type 1(HSV-1) skin disease has a long history. There are an increasing number of reports, however, in which topical ACV therapy is not as effective as oral administration. Lack of efficacy with topical ACV has been hypothesized to reflect the inadequate delivery of drug to the skin. We investigated the permeation of niosome containing $[^{3}H]ACV$ in hairless mouse skin using Franz diffusion cell model. Permeation coefficient(P) of aqueous ACV was $6.7{\times}10^{-4}\;(cm/hr)$ and that of ACV in niosome was $23.4{\times}10^{-4}\;(cm/hr)$, suggesting about 3.5 times increase in the transdermal permeation.

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Development of An Optimal Routes Selection Model Considering Price Characteristics of Agricultural Products (농산물의 가격특성을 고려한 최적경로 선정모델 개발)

  • Suh, Kyo;Lee, Jeong-Jae;Huh, Yoo-Man;Kim, Han-Joong;Yi, Ho-Jae
    • Journal of The Korean Society of Agricultural Engineers
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    • v.46 no.1
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    • pp.121-131
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    • 2004
  • Transportation and logistics of agricultural products have been one of the major interests of many researches. Most of researches have been limited to presuming these as a first dimensional process or considering only economic value of agricultural products at each stage of logistics. However, the particular characteristics of agricultural products, such as quality change during transportation or extensively scattered origins, require examining these problems as a whole system. Network model has been adopted to represent nodes, which stand for spatial location of demand and supply of agricultural products, and communication between these nodes. Based on network theory and advanced marketing potential function, an optimal routes selection model is developed. The model employed network simplex method for routes optimization. The application of the model focused on transportation network organization to reflect different market prices for different locations and resulted in optimum routes and profit improvement of the applied agricultural product.

Optimization of Engine Mount Using an Enhanced Genetic Algorithm (향상된 유전알고리듬을 이용한 유체마운트의 최적화)

  • Ahn, Young-Kong;Kim, Young-Chan;Yang, Bo-Suk
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.12 no.12
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    • pp.935-942
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    • 2002
  • When designing fluid mounts, design parameters can be varied in order to obtain a desired notch frequency and notch depth. The notch frequency is a function of the mount parameters and is typically selected by the designer to occur at the vibration disturbance frequency. Since the process of choosing these parameters can involve some trial and error, it seems to be a great application for obtaining optimal performance of the mount. Many combinations of parameters are possible to give us the desired notch frequency, but the question is which combination provides the lowest depth. Therefore. an automatic optimal technique is needed to optimize the performance of the fluid mount. In this study. the enhanced genetic algorithm (EGA) is applied to minimizing transmissibility of a fluid mount at the desired notch frequency, and at the notch and resonant frequencies. The EGA is modified genetic algorithm to search global and local optimal solutions of multi-modal function optimization. Furthermore. to reduce the searching time as compare to conventional genetic algorithm and Increase the precision of the solutions, the modified simplex method is combined with the algorithm. The results show that the performance of the optimized mount by using the hybrid algorithm is better than that of the conventional fluid mount.

Electromagnetic design and optimization of the multi-segment dielectric-loaded accelerating tube using genetic algorithm

  • M. Nikbakht;H. Afarideh;M. Ghergherehchi
    • Nuclear Engineering and Technology
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    • v.54 no.12
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    • pp.4625-4635
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    • 2022
  • A low-energy dielectric loaded accelerator with a non-uniform, multi-segment structure is studied and optimized. So far, no analytical solution is provided for such structures. Also, due to the existing nonlinear behavior and a large number of geometric parameters, the problem of numerical optimizations is complex. For this reason, a method is presented to design and optimize such structures using the Genetic Algorithm (GA). Moreover, the GA output results are compared with Trust Region (TR) and Nelder-Mead Simplex (NMS) methods. Comparative results show that the GA is more efficient in achieving optimization goals and also has a higher speed than the two other methods. Finally, an optimized accelerating tube is integrated into a proper coupler. Then, the accelerator is simulated for full electromagnetic investigations using the CST suite of codes. This design leads to a structure with a power of about 80 kW in the X-band, which delivers electrons to the output energy in the range of 300-459 kV. The length and outer diameter of the accelerating tube obtained are 10 cm and 1 cm, respectively.

Compositional data analysis by the square-root transformation: Application to NBA USG% data

  • Jeseok Lee;Byungwon Kim
    • Communications for Statistical Applications and Methods
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    • v.31 no.3
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    • pp.349-363
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    • 2024
  • Compositional data refers to data where the sum of the values of the components is a constant, hence the sample space is defined as a simplex making it impossible to apply statistical methods developed in the usual Euclidean vector space. A natural approach to overcome this restriction is to consider an appropriate transformation which moves the sample space onto the Euclidean space, and log-ratio typed transformations, such as the additive log-ratio (ALR), the centered log-ratio (CLR) and the isometric log-ratio (ILR) transformations, have been mostly conducted. However, in scenarios with sparsity, where certain components take on exact zero values, these log-ratio type transformations may not be effective. In this work, we mainly suggest an alternative transformation, that is the square-root transformation which moves the original sample space onto the directional space. We compare the square-root transformation with the log-ratio typed transformation by the simulation study and the real data example. In the real data example, we applied both types of transformations to the USG% data obtained from NBA, and used a density based clustering method, DBSCAN (density-based spatial clustering of applications with noise), to show the result.

The Shape Optimization of a Torque Converter Lock-up Clutch Using the B-Spline and Finite Element Mesh Smoothing (B-Spline 및 유한요소 유연화법 활용 자동차 록업클러치의 형상최적화)

  • Hyun, Seok-Jeong;Kim, Cheol;Son, Jong-Ho;Shim, Se-Hyun;Jang, Jae-Duk;Joo, In-Sik
    • Transactions of the Korean Society of Automotive Engineers
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    • v.12 no.3
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    • pp.101-108
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    • 2004
  • A FEM-based efficient method is developed for the shape optimization of 2-D structures. The combined SLP and Simplex method are coupled with finite element analysis. Selected set of master nodes on the design boundaries are employed as design variables and assigned to move towards their normal directions. The other nodes along the design boundaries are grouped into the master node. By interpolating the repositioned master nodes, the B-spline curves are formed so that the rest mid-nodes efficiently settle down on the B-spline curves. Mesh smoothing scheme is also applied for the nodes on the design boundary to maintain most finite elements in good quality. Finally, a numerical implementation of optimum design of an automobile torque converter piston subjected to pressure and centrifugal loads is presented. The results shows additional weight up to 13% may be saved after the shape optimization.

A 3-D RBSM for simulating the failure process of RC structures

  • Zhong, Xingu;Zhao, Chao;Liu, Bo;Shu, Xiaojuan;Shen, Mingyan
    • Structural Engineering and Mechanics
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    • v.65 no.3
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    • pp.291-302
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    • 2018
  • Rigid body spring method (RBSM) is an effective tool to simulate the cracking process of structures, and has been successfully applied to investigate the behavior of reinforced concrete (RC) members. However, the theoretical researches and engineering applications of this method mainly focus on two-dimensional problems as yet, which greatly limits its applications in actual engineering projects. In this study, a three-dimensional (3-D) RBSM for RC structures is proposed. In the proposed model, concrete, reinforcing steels, and their interfaces are represented as discrete entities. Concrete is partitioned into a collection of rigid blocks and a uniform distribution of normal and tangential springs is defined along their boundaries to reflect its material properties. Reinforcement is modeled as a series of bar elements which can be freely positioned in the structural domain and irrespective of the mesh geometry of concrete. The bond-slip characteristics between reinforcing steel and concrete are also considered by introducing special linkage elements. The applicability and effectiveness of the proposed method is firstly confirmed by an elastic T-shape beam, and then it is applied to analyze the failure processes of a Z-type component under direct shear loading and a RC beam under two-point loading.

Fast and Accurate Rigid Registration of 3D CT Images by Combining Feature and Intensity

  • June, Naw Chit Too;Cui, Xuenan;Li, Shengzhe;Kim, Hak-Il;Kwack, Kyu-Sung
    • Journal of Computing Science and Engineering
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    • v.6 no.1
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    • pp.1-11
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    • 2012
  • Computed tomography (CT) images are widely used for the analysis of the temporal evaluation or monitoring of the progression of a disease. The follow-up examinations of CT scan images of the same patient require a 3D registration technique. In this paper, an automatic and robust registration is proposed for the rigid registration of 3D CT images. The proposed method involves two steps. Firstly, the two CT volumes are aligned based on their principal axes, and then, the alignment from the previous step is refined by the optimization of the similarity score of the image's voxel. Normalized cross correlation (NCC) is used as a similarity metric and a downhill simplex method is employed to find out the optimal score. The performance of the algorithm is evaluated on phantom images and knee synthetic CT images. By the extraction of the initial transformation parameters with principal axis of the binary volumes, the searching space to find out the parameters is reduced in the optimization step. Thus, the overall registration time is algorithmically decreased without the deterioration of the accuracy. The preliminary experimental results of the study demonstrate that the proposed method can be applied to rigid registration problems of real patient images.

Picture Quality Improvement System to prevent the Saturation and Decoloration using Skin Protection Algorithm(SPA) on CIE 1976 u'v' Chromaticity Coordinates (색상의 포화 및 탈색현상 방지를 위한 CIE 1976 u'v' 색도 좌표에서의 SPA를 이용한 화질개선 시스템)

  • Yang, Jeong-Ju;Yook, Ji-Hong;Choi, Hyun-Chul;Kang, Bong-Soon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.3
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    • pp.589-596
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    • 2011
  • Picture Quality Improvement Systems(PQIS) have been developed for user's needs with the development of display technology. Most PQIS change the all input data, so there were some color distortion. In order to compensate such problems, the PQIS using Skin Protection Algorithm(SPA) have been proposed. But the PQIS using SPA is performed simplex color emphasis, as a result occurred color saturation and decoloration. In this paper, we proposed the modified PQIS using SPA on CIE 1976 u'v' chromaticity coordinate. The modified method operated chromaticity extension and reduction at the same time about brightness value to prevent the saturation and decoloration. We evaluated by comparing the conventional method with the proposed method of RGB Gamut variation rate using 42 test image.