• Korean Journal of Fisheries and Aquatic Sciences
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• v.36 no.5
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• pp.454-457
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• 2003

A feeding trial was carried out to investigate the utilization of dietary soybean meal and wheat flour as substitutes for fish meal and alginate in different dietary types (powder, pellet and flake) for juvenile snail (Semisulcospira gottschei). After 10 weeks feeding trial, survival was not affected by formulation and type of diets (P>0.05), but weight gain was significantly affected by dietary formulation (P<0.001) and type (P<0.05). In the same dietary formulation, weight gain of the snail fed the flake type of diets was lower than that of the snail fed the powder or pellet types. However, the type of diet did not affect weight gain when snail fed diets containing $37\%$ soybean meal and $18\%$ alginate. The weight gain was lower in the snail fed diets containing $25\%$ fish meal compared with that of the snail for diets containing $33-37\%$ soybean meal at the same dietary type. When soybean meal was used as main protein source in diets, weight gain was not affected by dietary alginate $(0\;and\;18\%)$ and wheat flour $(36\;and\;58\%)$ contents. Crude protein and ash contents of whole body of the snail was not affected either by formulation or by type of diet. Moisture and crude lipid contents of the whole body were significantly affected by dietary formulation, but not by the type. These results indicate that $25\%$ fish meal could be replaced by $37\%$ soybean meal as dietary protein source, and pellet and powder could be desirable dietary type for the optimum growth of the snail.

• Journal of Korean Society of Steel Construction
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• v.15 no.4 s.65
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• pp.341-358
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• 2003

This paper proposed a general formulation of Life-Cycle Cost (LCC) models and LCC effective design system models of steel bridges suitable for practical implementation. An LCC model for the optimum design of steel bridges included initial cost and direct/indirect rehabilitation costs of a steel bridge as well as repair/replacement costs, loss of contents or fatality and injury losses, road user costs, and indirect socioeconomic losses. The new road user cost model and regional socioeconomic losses model were especially considered because of the traffic network. Illustrative design examples of an actual steel box girder and an orthotropic steel deck bridge were discussed to demonstrate the LCC effectiveness of the design of steel bridges. Based on the results of the numerical investigation, the LCC-effective optimum design of steel bridges based on the proposed LCC model was found to lead to a more rational, economical, and safer design compared with the initial cost-optimum design and the conventional code-based design.

• Bulletin of the Society of Naval Architects of Korea
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• v.27 no.1
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• pp.45-56
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• 1990

This study deals with the nonlinear strength analysis of laminated composite cylindrical shells to find the optimum structure of pressure vessel. By applying the F.E.M. using the 8-node degenerated Isoparametric shell element and Total Lagrangian formulation and being adopted Newton-Raphson method with incremental load as a solution scheme. the optimum structure is found from the viewpoint of minimum displacement. As a results of linear analysis on the 9 cases of laminated structure, $[50^{\circ}/-50^{\circ}]$ composition of the shell laminate give the minimum deflection. In case of the nonlinear analysis by applying Quadratic Failure Criteria on laminated combination $[{\theta}^{\circ}/-{\theta}^{\circ}]$, shell laminate structure of ${\theta}=50^{\circ}$ under external uniform pressure was founded as a optimum structure and ${\theta}=50^{\circ}$ for the case of external and axial loading combined.

• Journal of Microbiology and Biotechnology
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• v.19 no.4
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• pp.378-386
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• 2009

A sequential optimization strategy, based on statistical experimental designs, is employed to enhance the production of alkaline protease by a Bacillus pseudofirmus local isolate. To screen the bioprocess parameters significantly influencing the alkaline protease activity, a 2-level Plackett-Burman design was applied. Among 15 variables tested, the pH, peptone, and incubation time were selected based on their high positive significant effect on the protease activity. A near-optimum medium formulation was then obtained that increased the protease yield by more than 5-fold. Thereafter, the response surface methodology(RSM) was adopted to acquire the best process conditions among the selected variables, where a 3-level Box-Behnken design was utilized to create a polynomial quadratic model correlating the relationship between the three variables and the protease activity. The optimal combination of the major medium constituents for alkaline protease production, evaluated using the nonlinear optimization algorithm of EXCEL-Solver, was as follows: pH of 9.5, 2% peptone, and incubation time of 60 h. The predicted optimum alkaline protease activity was 3,213 U/ml/min, which was 6.4 times the activity with the basal medium.

• Korean journal of food and cookery science
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• v.27 no.6
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• pp.691-700
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• 2011

This study's objective is to determine the optimum mixing ratio of yam (Dioscorea japonica THUMB) powder and egg for the preparation of pasta. Response surface methodology revealed 10 experimental points, including two replicates for yam powder and egg. Yam pasta formulation was optimized using rheology. Yellowness(p<0.05) and redness displayed a linear model pattern, while lightness was represented by a quadratic model. The texture(p<0.05), including flavor(p<0.05) and overall quality(p<0.05) was measured as a sensory evaluation. In addition, mechanical properties displayed significant values in adhesiveness(p<0.05). These results showed that yam powder affects flavor and appearance, and egg affects adhesiveness and overall quality. The optimum formulations processed by numerical and graphical optimization were determined at 19.50 g of yam powder and 28.07 g of egg.

• Asian-Australasian Journal of Animal Sciences
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• v.22 no.1
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• pp.57-71
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• 2009

Crop-livestock mixed farming systems depend on the efficiency with which nutrients are conserved and recycled. Home-grown forage is used as animal feed and animal excretions are applied to cultivated crop lands as manure. The objective of this study was to develop a mixed farming system model for dairy cattle in Japan. The model consisted of four sub-models: the nutrient requirement model, based on the Japanese Feeding Standards to determine requirements for energy, crude protein, dry matter intake, calcium, phosphorus and vitamin A; the optimum diet formulation model for determining the optimum diets that satisfy nutrient requirements at lowest cost, using linear programming; the herd dynamic model to calculate the numbers of cows in each reproductive cycle; and the whole farm optimization model to evaluate whole farm management from economic and environmental viewpoints and to optimize strategies for the target farm or system. To examine the model' validity, its predictions were compared against best practices for dairy farm management. Sensitivity analyses indicated that higher yielding cows lead to better economic results but higher emvironmental load in dairy cattle systems integrated with forage crop production.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.5
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• pp.361-366
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• 2013

Prediction of process parameters is very important in parameter design. If predictions are fairly accurate, the quality improvement process will be useful to save time and reduce cost. The concept of dual response approach based on response surface methodology has widely been investigated. Dual response approach may take advantages of optimization modeling for finding optimum setting of input factor by separately modeling mean and variance responses. This study proposes an alternative dual response approach based on machine learning techniques instead of statistical analysis tools. A hybrid neural network-genetic algorithm has been proposed for the purpose of parameter design. A neural network is first constructed to model the relationship between responses and input factors. Mean and variance responses correspond to output nodes while input factors are used for input nodes. Using empirical process data, process parameters can be predicted without performing real experimentations. A genetic algorithm is then applied to find the optimum settings of input factors, where the neural network is used to evaluate the mean and variance response. A drug formulation example from pharmaceutical industry has been studied to demonstrate the procedures and applicability of the proposed approach.

• Structural Engineering and Mechanics
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• v.45 no.1
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• pp.95-110
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• 2013

In the recent decade, practical of wavelet technique is being utilized in various domain of science. Particularly, engineers are interested to the wavelet solution method in the time series analysis. Fundamentally, seismic responses of structures against time history loading such as an earthquake, illustrates optimum capability of systems. In this paper, a procedure using particularly discrete Haar wavelet basis functions is introduced, to solve dynamic equation of motion. In the proposed approach, a straightforward formulation in a fluent manner is derived from the approximation of the displacements. For this purpose, Haar operational matrix is derived and applied in the dynamic analysis. It's free-scaled matrix converts differential equation of motion to the algebraic equations. It is shown that accuracy of dynamic responses relies on, access of load in the first step, before piecewise analysis added to the technique of equation solver in the last step for large scale of wavelet. To demonstrate the effectiveness of this scheme, improved formulations are extended to the linear and nonlinear structural dynamic analysis. The validity and effectiveness of the developed method is verified with three examples. The results were compared with those from the numerical methods such as Duhamel integration, Runge-Kutta and Wilson-${\theta}$ method.

• The Korean Journal of Food And Nutrition
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• v.3 no.1
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• pp.39-56
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• 1990

The effects of six kinds of phosphate complex on the water holding capacity (W.H.C) and protein solubility of hair tail, yellow tail runner and dried pollack meat paste were investigated and animal meat(pork, chicken and hare meat complex) The formulation of six kind of phosphate complex employed to this experiment were made by mixing several phosphate such as sodium polyphosphate, sodium pyrophosphate, sodium acid pyrophosphate, potassim pyrophosphate, sodium ultra-meta-phosphate, sodium-tetra-phosphate and monoglyceride at different mixture ratio Among the six kinds of phosphate complex, phosphate B complex which was formulated by mixing sodium polyphosphate 40%, sodium pyrophosphate 30%, sodium tetra mata phosphate 10%, sodium ultra meta phosphate 10% was most effective on enchanging the W H. C, and protein solubility of hair tail, yellow tail runner dried pollack meat past and in case of pork, chicken and hare meat paste. Phosphate C complex which was formulated by mixing sodium polyphosphate 50%. sodium pyrophosphate 30%, sodium tetra meta phosphate 10%, potassium pyrophosphate 10%, was more effective them other phosphate complex, and thief optimum addition level was 0.5% respectively in weight of fish meat paste. Texture characteristics such as hardness, cohesiveness and springiness value of Kamaboko(fish meat and pork, chicken, hare meat complex past meat product) were evaluted as best when 0.5% of Phosphate B complex was added The optimum cooking condition of Kamaboko to get good texture was heating for 20 minutes at 12$0^{\circ}C$.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.5B
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• pp.295-303
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• 2007

An algorithm is proposed to seek a local optimal solution of the network utility maximization problem in a wireless mesh network, where the architecture being considered is an infrastructure/backbone wireless mesh network. The objective is to achieve proportional fairness amongst the end-to-end flows in wireless mesh networks. In order to establish the communication constraints of the flow rates in the network utility maximization problem, we have presented necessary and sufficient conditions for the achievability of the flow rates. Since wireless mesh networks are generally considered as a type of ad hoc networks, similarly as in wireless multi-hop network, the network utility maximization problem in wireless mesh network is a nonlinear nonconvex programming problem. Besides, the gateway/bridge functionalities in mesh routers enable the integration of wireless mesh networks with various existing wireless networks. Thus, the rate optimization problem in wireless mesh networks is more complex than in wireless multi-hop networks.