• Journal of Internet Computing and Services
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• v.17 no.3
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• pp.19-24
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• 2016

The minimum error entropy (MEE) algorithm is known to be superior in impulsive noise environment. In this paper, the optimum solutions and properties of the MEE algorithm are studied in regard to the robustness against impulsive noise. From the analysis of the behavior of optimum weight and factors related with mitigation of influence from large errors, it is revealed that the magnitude controlled input entropy plays the main role of keeping optimum weight of MEE undisturbed from impulsive noise. In the simulation, the optimum weight of MEE is shown to be the same as that of MSE criterion.

• Textile Coloration and Finishing
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• v.21 no.4
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• pp.11-22
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• 2009

This study surveys the optimum processing conditions of ATY for PET braiding for automotive hoses. For this purpose, high tenacity and low shrinkable PET filaments with three types of deniers are prepared. Twenty seven ATY specimens are manufactured with variation of feed speed and overfeed on the air jet texturing machine. The physical properties of various yam according to the ATY processing conditions are measured and analysed for deciding the optimum ATY processing condition. Two kinds of ATY filaments made under the optimum air texturing conditions are processed with variation of tpm, heat setting temperature and heat setting time on the 2-for-l twister and setting chamber, respectively. The optimum twisting and heat setting conditions are decided through analysis of the yam physical properties. Finally, the braiding fabric specimens are manufactured using conventional filament and newly developed filament made under optimum twisting and heat setting conditions. The bursting strengths of these braiding specimens are compared and discussed between two types of specimens.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.34 no.3
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• pp.49-56
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• 2011

Estimating optimum hardware capacity of an e-learning system is very important process to grasp reasonable size of designing technique architecture and budget during step of ISP(information strategic planning) and development. It hugely influences cost and quality of the whole project. While investment on information system hardware has been continuously increased, there was no certified hardware capacity estimating method in e-learning system development. A guideline for hardware sizing of information systems was established by Telecommunication Technology Association in 2008. However, the guideline is not appropriate for estimating optimum hardware capacity of an e-learning system because it was designed to provide general standards for estimating hardware capacity of various types of projects. The purpose of this paper is to provide a methodology for estimating optimum hardware capacity in e-learning system development. To develop the methodology, this study, first of all, analyzes two e-learning development projects, in which the guideline was applied to estimate optimum hardware capacity. Then, this study finds out several key factors influencing on hardware capacity. Finally, this study suggests a methodology for estimating optimum hardware capacity of an e-learning system, in which weights for the factors are determined through AHP analysis.

• Journal of Internet Computing and Services
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• v.15 no.2
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• pp.1-7
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• 2014

This paper presents an analytical method for finding the optimum transmission range in mobile ad hoc networks(MANETs). The results are particularly useful for the operation of military networks, as the transmission range affects the throughput, delay, and battery consumption. Plus, the proposed method allows the optimum transmission range to be determined in advance when deploying combatants with mobile terminals. And we analyze the battery life-time and the optimum transmission range under various propagation scenarios based on Hata propagation model. The proposed method obtains the optimum transmission range in a MANET based on the operational conditions.

• Steel and Composite Structures
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• v.30 no.3
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• pp.293-304
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• 2019

The optimum cost of a reinforced concrete plane and space frames have been found by using the Genetic Algorithm (GA) method. The design procedure is subjected to many constraints controlling the designed sections (beams and columns) based on the standard specifications of the American Concrete Institute ACI Code 2011. The design variables have contained the dimensions of designed sections, reinforced steel and topology through the section. It is obtained from a predetermined database containing all the single reinforced design sections for beam and columns subjected to axial load, uniaxial or biaxial moments. The designed optimum beam sections by using GAs have been unified through MATLAB to satisfy axial, flexural, shear and torsion requirements based on the designed code. The frames' functional cost has contained the cost of concrete and reinforcement of steel in addition to the cost of the frames' formwork. The results have found that limiting the dimensions of the frame's beams with the frame's columns have increased the optimum cost of the structure by 2%, declining the re-analysis of the optimum designed structures through GA.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.05a
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• pp.786-790
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• 2002

In this study, structural optimum design was applied to the girder of magnet over head crane. The optimization was carried out using ANSYS Code for the deadweight of girder, especially focused on the thickness of its upper, lower, side and reinforced plates. The weight could be reduced up to around 15% with constraints of its deformation, stress, natural frequency and buckling strength. The structural safety was also verified by the buckling analysis of its panel structure. It might be thought to be very useful to design the conventional structures for the weight save through the structural optimization. The objective function and restricted function were estimated by the orthogonal array, and the sensitivity analysis of design variable fur that was operated.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2004.10a
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• pp.437-444
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• 2004

In this study, an optimum support design problem is considered to minimize displacement of stacked plates under self weight condition. During the displacement analysis, several kinds of contact arise between the plates themselves and support bar. These can be easily considered if commercial analysis software, which provides capability to solve the contact problem, is used. It is found, however, that the computing time is extraordinarily long due possibly to the generality of the software and also to the ignorance of the control parameters used in the software. In this paper, the contact condition is imposed directly by the authors, while the software is used only to solve the ordinary displacement analysis problem. In this way, the computing time is decreased remarkably by more than 30 times, while yielding the same accurate results. Optimization is conducted based on this efficient analysis method to find minimum number of supporting bars using the response surface algorithm.

• 한국항공운항학회:학술대회논문집
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• 2015.11a
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• pp.25-28
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• 2015

Aircraft conceptual design usually uses low to medium fidelity analysis to determine the basic configuration of an aircraft. Optimum solution is bounded by at least one of the constraints in most cases. This solution has risk to fail at later stage when analyzed with more sophisticated analysis tools. This research uses pre-constructed database to estimate the analysis prediction errors associated with simplified analysis methods. A possibility based design optimization framework is developed to utilize the newly proposed piecewise-linear fuzzy membership functions that compensate the discrepancies caused by simplified analysis. The proposed approach for aircraft design produces the optimum aircraft configurations that are less likely to fall into infeasible region when analyzed using higher fidelity analysis at later design stages.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2004.11a
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• pp.354-357
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• 2004

In this paper, a sensitivity analysis technique is presented for performing effective structural optimization of bus system. Design sensitivities are analyzed on natural frequency of bus substructures using super-element. Vibration modes of substructure, which large affect on the global vibration mode of bus B.I.W., are found through the sensitivity analysis using the chain rule. And design variables, which are determined from the sensitivity analysis, are changed through optimum design.

• Transactions of the Korean Society of Mechanical Engineers
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• v.11 no.1
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• pp.97-104
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• 1987

An analysis on the thermodynamic optimum use of thermal water has been accomplished. The systems investigated are power generation and space heating. The space heating systems considered in this study are direct heating, heat pumps and heat pump assisted heating. The object of this study is to find the optimum selection and operation of the system under the given resources. The measure of such optimum conditions is the EFFECTIVENESS, the concept of efficiency based upon the Second Law of Thermodynamics. The temperature of water to waste is identified as the most important parameter to be optimized. The analysis indicates that for high temperature resources (higher than about 425K) power generation yields the best performance and is therefore recommended. The heat pumps are recommended for the resource temperature less than about 327K. The heat pump assisted heating system shows its superiority for the very narrow temperature range (320K-330K) and thus the use of this system should be considered when the flow rate is very limited. thus the direct heating is appropriate for the temperature range of 330K-425K. The analysis also shows the optimum capacity of thermal water, which may be useful for the initial estimation of heating or power generation potentials of given resources.