The Experts below are selected from a list of 430233 Experts worldwide ranked by ideXlab platform
Masaru Kamada - One of the best experts on this subject based on the ideXlab platform.
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robust airfoil optimization of human powered aircraft against manufacturing variations
Congress on Evolutionary Computation, 2015Co-Authors: Daisuke Sasaki, Takahito Kurishita, Masaru KamadaAbstract:Robust design optimizations of an airfoil are conducted to increase the aerodynamic Performance and to reduce the Performance deterioration due to the manufacturing variations of a human-powered aircraft. Randomly-generated perturbed designs are evaluated for the robustness index. Maximum Performance Difference is used for robustness definition to prevent the worst Performance deterioration. The approach can design less-sensitive airfoil against the manufacturing variations while improving the Performance compared to initial airfoil. In addition, the essential parameter to control Performance and robustness is discussed.
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CEC - Robust airfoil optimization of human-powered aircraft against manufacturing variations
2015 IEEE Congress on Evolutionary Computation (CEC), 2015Co-Authors: Sasaki Daisuke, Takahito Kurishita, Masaru KamadaAbstract:Robust design optimizations of an airfoil are conducted to increase the aerodynamic Performance and to reduce the Performance deterioration due to the manufacturing variations of a human-powered aircraft. Randomly-generated perturbed designs are evaluated for the robustness index. Maximum Performance Difference is used for robustness definition to prevent the worst Performance deterioration. The approach can design less-sensitive airfoil against the manufacturing variations while improving the Performance compared to initial airfoil. In addition, the essential parameter to control Performance and robustness is discussed.
Denise Sekaquaptewa - One of the best experts on this subject based on the ideXlab platform.
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Implicit stereotypes and women's math Performance : How implicit gender-math stereotypes influence women's susceptibility to stereotype threat
Journal of Experimental Social Psychology, 2007Co-Authors: Amy K. Kiefer, Denise SekaquaptewaAbstract:Abstract This experiment examined the effects of implicit gender-math stereotyping and implicit gender and math identification on women’s math Performance under stereotype threat and reduced threat conditions. Results showed that of the three, only implicit gender-math stereotyping moderated stereotype threat effects on women’s math Performance: women who showed less implicit math-gender stereotyping showed the largest Performance Difference across experimental conditions. These results suggest that women’s implicit associations between gender and math interact with situational cues to influence their math Performance: women who implicitly associate women more than men with mathematics were most benefited by reduction of stereotype salience during testing.
Takahito Kurishita - One of the best experts on this subject based on the ideXlab platform.
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robust airfoil optimization of human powered aircraft against manufacturing variations
Congress on Evolutionary Computation, 2015Co-Authors: Daisuke Sasaki, Takahito Kurishita, Masaru KamadaAbstract:Robust design optimizations of an airfoil are conducted to increase the aerodynamic Performance and to reduce the Performance deterioration due to the manufacturing variations of a human-powered aircraft. Randomly-generated perturbed designs are evaluated for the robustness index. Maximum Performance Difference is used for robustness definition to prevent the worst Performance deterioration. The approach can design less-sensitive airfoil against the manufacturing variations while improving the Performance compared to initial airfoil. In addition, the essential parameter to control Performance and robustness is discussed.
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CEC - Robust airfoil optimization of human-powered aircraft against manufacturing variations
2015 IEEE Congress on Evolutionary Computation (CEC), 2015Co-Authors: Sasaki Daisuke, Takahito Kurishita, Masaru KamadaAbstract:Robust design optimizations of an airfoil are conducted to increase the aerodynamic Performance and to reduce the Performance deterioration due to the manufacturing variations of a human-powered aircraft. Randomly-generated perturbed designs are evaluated for the robustness index. Maximum Performance Difference is used for robustness definition to prevent the worst Performance deterioration. The approach can design less-sensitive airfoil against the manufacturing variations while improving the Performance compared to initial airfoil. In addition, the essential parameter to control Performance and robustness is discussed.
Amy K. Kiefer - One of the best experts on this subject based on the ideXlab platform.
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Implicit stereotypes and women's math Performance : How implicit gender-math stereotypes influence women's susceptibility to stereotype threat
Journal of Experimental Social Psychology, 2007Co-Authors: Amy K. Kiefer, Denise SekaquaptewaAbstract:Abstract This experiment examined the effects of implicit gender-math stereotyping and implicit gender and math identification on women’s math Performance under stereotype threat and reduced threat conditions. Results showed that of the three, only implicit gender-math stereotyping moderated stereotype threat effects on women’s math Performance: women who showed less implicit math-gender stereotyping showed the largest Performance Difference across experimental conditions. These results suggest that women’s implicit associations between gender and math interact with situational cues to influence their math Performance: women who implicitly associate women more than men with mathematics were most benefited by reduction of stereotype salience during testing.
Gao Deyun - One of the best experts on this subject based on the ideXlab platform.
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Study on RED Algorithm Performance Based on Self-similar Traffic
Computer Engineering, 2006Co-Authors: Gao DeyunAbstract:The self-similarity of the traffic in WLANs is studied to show that the wireless traffic tends to have a self-similar behavior.The Performance of the RED algorithm is studied under the self-similar wireless traffic in the WLANs by extensive simulation experiments.The simulation results show that there is little Performance Difference between RED and Drop-Tail algorithms because of the negative effects of the self-similar traffic and the features of the WLANs.The Drop-Tail algorithm can be employed at the access point to perform congestion control due to its less complexity.
