• Title/Summary/Keyword: optimization formulation

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Design and Optimization of Solid Dispersed Osmotic Pump Tablets of Aceclofenac, A Better Approach to Treat Arthritis

  • Edavalath, Sudeesh;Rao, B. Prakash
    • Journal of Pharmaceutical Investigation
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    • v.41 no.4
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    • pp.217-225
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    • 2011
  • The aim of this work was to prepare porous osmotic pump tablets for controlled delivery of Aceclofenac. Aceclofenac solid dispersion was prepared to improve the solubility by using the drug - carrier (Mannitol) ratio of 1:1. The osmotic pump tablets were prepared using the solid dispersed product of Aceclofenac. The formulation contains potassium chloride as osmotic agent, cellulose acetate as semipermeable membrane, poly ethylene glycol (PEG 4000) as pore former and sodium lauryl sulphate (SLS) as solubility enhancer. The formulations were designed by the general factors such as osmotic agent and pore former. All formulations were evaluated for various physical parameters and, the in vitro release studies were conducted as per USP. The drug release kinetic studies such as zero order, first order, and Higuchi and Korsmeyer peppas were determined and compared. All the formulations gave more controlled release compared to the marketed tablet studied. Numerical optimization techniques were applied to found out the best formulation by considering the parameter of in vitro drug release kinetics and dissolution profile standards. It was concluded that the porous osmotic pump tablets (F7) composed of Aceclofenac solid dispersion/Potassium chloride/Lactose/Sodium lauryl sulphate/Magnesium Stearate (400/40/95/10/5, mg/tab) and coating composition with Cellulose acetate/ PEG 4000 (60/40 %w/w) is the most satisfactory formulation. The porous osmotic pump tablets provide prolonged, controlled, and gastrointestinal environment-independent drug release.

The Study of the Domestic CTP Plate Development (국산 CTP 판재 개발에 관한 연구)

  • Ha, Young-Baeck;Choi, Jae-Hyuk;Hong, Sung-Kyu;Oh, Sung-Sang
    • Journal of the Korean Graphic Arts Communication Society
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    • v.27 no.1
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    • pp.49-58
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    • 2009
  • Computer to plate technology(CTP) have become fully commercial. The current wide range of computer to plate system and plate makes many potential customers insecure. This process which began around 1995 has now been successfully completed, so that a wide variety of high performance systems is available. The computer to plate method of producing printing plates eliminates films from the production process, thus reducing costs and shortening production times. To discover the optimization formulation of sensitized materials we were changed formulation of resin and violet solution in thermal sensitizers. Also we were analyzed the CTP plate's surface and the result of coating and development at each sample. we were analyzed the effects of development condition as temperature and speed, the plate wear of printing test in C, M, Y, Bk ink. This paper aims to find out suitable ways that we can develop a domestic CTP plate.

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A matrix displacement formulation for minimum weight design of frames

  • Orakdogen, Engin
    • Structural Engineering and Mechanics
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    • v.14 no.4
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    • pp.473-489
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    • 2002
  • A static linear programming formulation for minimum weight design of frames that is based on a matrix displacement method is presented in this paper. According to elementary theory of plasticity, minimum weight design of frames can be carried out by using only the equilibrium equations, because the system is statically determinate when at an incipient collapse state. In the present formulation, a statically determinate released frame is defined by introducing hinges into the real frame and the bending moments in yield constraints are expressed in terms of unit hinge rotations and the external loads respectively, by utilizing the matrix displacement method. Conventional Simplex algorithm with some modifications is utilized for the solution of linear programming problem. As the formulation is based on matrix displacement method, it may be easily adopted to the weight optimization of frames with displacement and deformation limitations. Four illustrative examples are also given for comparing the results to those obtained in previous studies.

Trajectory Optimization for a Supersonic Air-Breathing Missile System Using Pseudo-Spectral Method

  • Park, Jung-Woo;Tahk, Min-Jea;Sung, Hong-Gye
    • International Journal of Aeronautical and Space Sciences
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    • v.10 no.1
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    • pp.112-121
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    • 2009
  • This paper deals with supersonic air-breathing missile system. A supersonic air-breathing missile system has very complicated and incoherent thrust characteristics with respect to outer and inner environment during operation. For this reason, the missile system has many maneuver constraints and is allowed to operate within narrow flight envelope. In this paper, trajectory optimization of the missile is accomplished. The trajectory optimization problem is formulated as a discrete parameter optimization problem. For this formulation, Legendre Pseudo-Spectral method is introduced. This method is based on calculating the state and control variables on Legendre-Gauss-Lobatto (LGL) points. This approach helps to find approximated derivative and integration quantities simply. It is shown that, for this trajectory optimization, trend analysis is performed from thrust characteristics on various conditions so that the trajectory optimization is accomplished with fine initial guess with these results.

A Study on Multiobjective Genetic Optimization Using Co-Evolutionary Strategy (공진화전략에 의한 다중목적 유전알고리즘 최적화기법에 관한 연구)

  • Kim, Do-Young;Lee, Jong-Soo
    • Proceedings of the KSME Conference
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    • 2000.11a
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    • pp.699-704
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    • 2000
  • The present paper deals with a multiobjective optimization method based on the co-evolutionary genetic strategy. The co-evolutionary strategy carries out the multiobjective optimization in such way that it optimizes individual objective function as compared with each generation's value while there are more than two genetic evolutions at the same time. In this study, the designs that are out of the given constraint map compared with other objective function value are excepted by the penalty. The proposed multiobjective genetic algorithms are distinguished from other optimization methods because it seeks for the optimized value through the simultaneous search without the help of the single-objective values which have to be obtained in advance of the multiobjective designs. The proposed strategy easily applied to well-developed genetic algorithms since it doesn't need any further formulation for the multiobjective optimization. The paper describes the co-evolutionary strategy and compares design results on the simple structural optimization problem.

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Reconfigurable Multidisciplinary Design Optimization Framework (재구성이 가능한 다분야통합최적설계 프레임웍의 개발)

  • Lee, Jang-Hyo;Lee, Se-Jung
    • Korean Journal of Computational Design and Engineering
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    • v.14 no.3
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    • pp.207-216
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    • 2009
  • Modern engineering design problems involve complexity of disciplinary coupling and difficulty of problem formulation. Multidisciplinary design optimization can overcome the complexity and design optimization software or frameworks can lessen the difficulty. Recently, a growing number of new multidisciplinary design optimization techniques have been proposed. However, each technique has its own pros and cons and it is hard to predict a priori which technique is more efficient than others for a specific problem. In this study, a software system has been developed to directly solve MDO problems with minimal input required. Since the system is based on MATLAB, it can exploit the optimization toolbox which is already developed and proven to be effective and robust. The framework is devised to change an MDO technique to another as the optimization goes on and it is called a reconfigurable MDO framework. Several numerical examples are shown to prove the validity of the reconfiguration idea and its effectiveness.

A Case Study on the Optimum Formulation of Coffee by a Mixture Experiment Design (혼합물실험계획에 의한 커피혼합비율 최적화에 대한 연구)

  • Lee, Jong-Seong;Moon, Je-Woong
    • Journal of Industrial Technology
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    • v.22 no.A
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    • pp.83-87
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    • 2002
  • Many industrial products such as paints, ink and adhesives are composed of the ingredients of a mixture. In mixture experiments, the characteristics of quality(response) depends only on the proportions of the ingredients and does not depend on the total amount of the mixture. This article discusses the constrained mixture experimental design, the data analysis, and the optimum formulation of ingredients based on the two quality characteristics - taste and flavor. It IS shown that efficient designs can be constructed from D-optimal criterion. Special cubic models were selected as the final mixture response surfaces for both reponses. The desirability function was used for the optimization of the two responses.

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Optimization-Based Pattern Generation for LAD (최적화에 근거한 LAD의 패턴생성 기법)

  • Jang, In-Yong;Ryoo, Hong-Seo
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2005.10a
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    • pp.409-413
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    • 2005
  • The logical analysis of data(LAD) is an effective Boolean-logic based data mining tool. A critical step in analyzing data by LAD is the pattern generation stage where useful knowledge and hidden structural information in data is discovered in the form of patterns. A conventional method for pattern generation in LAD is based on term enumeration that renders the generation of higher degree patterns practically impossible. In this paper, we present a new optimization-based pattern generation methodology and propose two mathematical programming medels, a mixed 0-1 integer and linear programming(MILP) formulation and a well-studied set covering problem(SCP) formulation for the generation of optimal and heuristic patterns, respectively. With benchmark datasets, we demonstrate the effectiveness of our models by automatically generating with much ease patterns of high complexity that cannot be generated with the conventional approach.

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Formulation Optimization of Melon Jam (멜론잼의 재료 혼합 비율의 최적화)

  • Kim, BokHwa
    • Culinary science and hospitality research
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    • v.23 no.5
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    • pp.67-76
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    • 2017
  • This study investigated the quality characteristics of melon jam with RSM. The melon jam was prepared with 50~65% sugar, 0.5~2.0% pectin, and 0.1~0.5% citric acid. Sugar and pectin caused the increase in sweetness, Hunter's colorimetric characteristics (a, b), and firmness. Citric acid caused decrease in pH, sweetness, firmness. Sensory evaluation results showed that preferences for the melon jam increased as sugar, pectin, and citric acid approached their optimum values and then decreased as they exceeded optimum levels. Consequently, the proposed optimum levels in the ingredient formulation for manufacture of the standard melon jam were 59.0% sugar, 1.4% pectin, and 14.9% citric acid, as based on both numerical and graphic statistical analyses. Ultimately, this study was expected to contribute to the commercialization of melon jams of high quality.

Direct Differentiation Method for Shape Design Sensitivity Analysis of Axisymmetric Elastic Solids by the BEM and Shape Optimization of Turbin Disc (경계요소법에 의한 축대칭 탄성체의 형상설계 민감도해석을 위한 직접미분법과 터빈 디스크의 형상최적설계)

  • Lee, Bu-Yun
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.20 no.5
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    • pp.1458-1467
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    • 1996
  • A direct differentiationmethod is presented for the shape design sensitivity analysis of axisymmeetric elastic solids. Based on the exisymmetric boundary integralequaiton formulation, a new boundary ntegral equatio for sensitivity analysis is derived by taking meterial derivative to the same integral identity that was used in the adjoint variable melthod. Numerical implementation is performed to show the applicaiton of the theoretical formulation. For a simple example with analytic solution, the sensitivities by present method are compared with analytic sensitivities. As an application to the shape optimization, an optimal shape of a gas turbine disc toinimize the weight under stress constraints is found by incorporating the sensitivity analysis algorithm in an optimizatio program.