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class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Masahiro Kanazaki</h3></div><div class="js-work-strip profile--work_container" data-work-id="116784563"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/116784563/Blade_Shape_Optimization_of_Mars_Helicopter_Exploring_Pit_Craters"><img alt="Research paper thumbnail of Blade Shape Optimization of Mars Helicopter Exploring Pit Craters" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/116784563/Blade_Shape_Optimization_of_Mars_Helicopter_Exploring_Pit_Craters">Blade Shape Optimization of Mars Helicopter Exploring Pit Craters</a></div><div class="wp-workCard_item"><span>Proceedings of the Vertical Flight Society 78th Annual Forum</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Pit craters on Mars are assumed to be used as manned exploration bases and it is highly possible ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Pit craters on Mars are assumed to be used as manned exploration bases and it is highly possible that life signature would be discovered there since its temperature is appropriate and it is less affected by radiation. Regarding pit crater exploration, helicopter which can climb and descend quickly is expected to be utilized. This paper introduces blade shape optimization of Mars helicopter exploring pit craters. Definition of a mission, selection of aircraft types, conceptual design, optimization of blade twist angle and airfoil, and rotor test are conducted. As a result, hexa-rotor which has robustness, resistance to gust, and fault tolerance is proposed. Moreover, it is confirmed that the mission can be accomplished, carrying instruments on the helicopter within payload weight. Hovering performance of the helicopter is improved by optimizing blade twisting angle and airfoil. And it is found that there is a good correlation between experiment and numerical simulation with respect t...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116784563"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116784563"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116784563; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116784563]").text(description); 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</script> <div class="js-work-strip profile--work_container" data-work-id="113020892"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/113020892/Feedback_Circulating_Design_Space_Exploration_by_Multi_Sampling_Kriging_Model"><img alt="Research paper thumbnail of Feedback-Circulating Design Space Exploration by Multi-Sampling Kriging Model" class="work-thumbnail" src="https://attachments.academia-assets.com/110093407/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/113020892/Feedback_Circulating_Design_Space_Exploration_by_Multi_Sampling_Kriging_Model">Feedback-Circulating Design Space Exploration by Multi-Sampling Kriging Model</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study has investigated whether adding yaw-wise rotation to an aircraft flap improves lift pe...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study has investigated whether adding yaw-wise rotation to an aircraft flap improves lift performance and elucidated its improvement mechanism. The aircraft is optimized for cruising conditions and lacks takeoff and landing performance. Hence, high-lift devices, such as slats and flaps, compensate for the lift performance. Since flaps move along rails, the gap between the wing and the flap is spanwise constant. However, since the flow field is three-dimensional, the gap should also have a spanwise distribution to raise the lift. Thus, this study defined a design problem for lift maximization with the gap and the yaw-wise rotation angle as design variables. This problem adopted a surrogate model because of the small number of objective functions and design variables. A Kriging model modified to add multiple sample points optimized this problem. Furthermore, the study utilized a feedback-circulating exploration to reach the physical essence of the problem. The result eventually revealed that adding a rotation angle ameliorated the lift. The acceleration of the flow velocity through the gap at the appropriate spanwise position causes the separation of the flap's upper surface to recede, further reducing the pressure on the wing's upper surface and growing the lift on both the flap and the wing.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="73722b21b58bc711cf1465b23ca75471" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":110093407,"asset_id":113020892,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/110093407/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020892"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020892"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020892; 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Special data analysis is demanded in this case and one of the common ways to handle high dimensionality is identification of the most relevant features in the data. Wrapper feature selection is one of the most common and effective techniques for feature selection. Although efficient, wrapper methods have some limitations due to the fact that their result depends on the search strategy. In theory when a complex search is used, it may take much longer to choose the best subset of features and may be impractical in some cases. Hence we propose a new wrapper feature selection for big data based on a random search using genetic algorithm and prior information. The new approach was tested on 2 biological dataset and compared to two well known wrapper feature selection approaches and results illustrate that our approach gives the best performances.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f49fef015188860490055a79fcdd0891" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":110093406,"asset_id":113020891,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/110093406/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020891"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020891"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020891; 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} }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="113020889"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/113020889/Hypothesis_derivation_and_its_verification_by_a_wholly_automated_many_objective_evolutionary_optimization_system"><img alt="Research paper thumbnail of Hypothesis derivation and its verification by a wholly automated many-objective evolutionary optimization system" class="work-thumbnail" src="https://attachments.academia-assets.com/110093395/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/113020889/Hypothesis_derivation_and_its_verification_by_a_wholly_automated_many_objective_evolutionary_optimization_system">Hypothesis derivation and its verification by a wholly automated many-objective evolutionary optimization system</a></div><div class="wp-workCard_item"><span>Neural Computing and Applications</span><span>, Mar 6, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study has constructed a fully automated multidisciplinary and many-objective evolutionary de...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study has constructed a fully automated multidisciplinary and many-objective evolutionary design optimization system independent of computer environments to evaluate objective functions; the research applied it to a geometric design problem of a flyback booster for next-generation space transportation. In optimization involving objective functions to appraise the aero-/structural-dynamic performance with high fidelity, spatial discretization hinders the overall automation. This research has facilitated an efficient optimal design by wholly automating high-fidelity assessments, which designers had to implement manually, and has accomplished optimizations that directly contribute to real-world design problems. Moreover, this study would accumulate design knowledge for space transportation that the market is reviving. The total automated system yielded the embedding of geometric trait lines to ensure the discretization even for large curvature surfaces; the system innovated a robust automatic error-checking mechanism in the system's preprocess. Consequently, the entirely automatized optimization procured nondominated solution sets for more precise data analyses in a pragmatic execution period. Design informatics, a framework combining optimization and data analysis, functioned usefully in realworld design on flyback-booster geometry by materializing smooth deriving and verifying a design hypothesis; eventually, the research gained a new design principle. Keywords Entire automatization system 脕 Multidisciplinary and many-objective evolutionary optimization 脕 Real-world pragmatic design 脕 Computational fluid dynamics with unstructured mesh methods 脕 Hypothesis derivation and its verification & Kazuhisa Chiba</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e11ff7698944817d0d710caf9a758c82" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":110093395,"asset_id":113020889,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/110093395/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020889"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020889"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020889; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="113020888"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/113020888/Design_Optimization_of_Blended_Wing_Body_Type_Flyback_Booster_in_View_of_Aerodynamics_Aerodynamic_Heating_and_Empty_Weight"><img alt="Research paper thumbnail of Design Optimization of Blended-Wing-Body-Type Flyback Booster in View of Aerodynamics, Aerodynamic Heating, and Empty Weight" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/113020888/Design_Optimization_of_Blended_Wing_Body_Type_Flyback_Booster_in_View_of_Aerodynamics_Aerodynamic_Heating_and_Empty_Weight">Design Optimization of Blended-Wing-Body-Type Flyback Booster in View of Aerodynamics, Aerodynamic Heating, and Empty Weight</a></div><div class="wp-workCard_item"><span>Sekkei Kogaku, Shisutemu Bumon Koenkai koen ronbunshu</span><span>, 2018</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020888"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020888"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020888; 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</script> <div class="js-work-strip profile--work_container" data-work-id="113020887"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/113020887/Design_of_Blended_Wing_Body_Type_Flyback_Booster_by_Hypervolume_Based_Evolutionary_Computation"><img alt="Research paper thumbnail of Design of Blended-Wing-Body-Type Flyback Booster by Hypervolume-Based Evolutionary Computation" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/113020887/Design_of_Blended_Wing_Body_Type_Flyback_Booster_by_Hypervolume_Based_Evolutionary_Computation">Design of Blended-Wing-Body-Type Flyback Booster by Hypervolume-Based Evolutionary Computation</a></div><div class="wp-workCard_item"><span>Keisan Rikigaku Koenkai koen ronbunshu</span><span>, 2018</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020887"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020887"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020887; 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</script> <div class="js-work-strip profile--work_container" data-work-id="113020886"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/113020886/Optimization_of_Separation_Control_Performances_of_Plasma_Actuator_by_EGO_with_Multi_Additional_Sampling"><img alt="Research paper thumbnail of Optimization of Separation Control Performances of Plasma Actuator by EGO with Multi Additional Sampling" class="work-thumbnail" src="https://attachments.academia-assets.com/110093408/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/113020886/Optimization_of_Separation_Control_Performances_of_Plasma_Actuator_by_EGO_with_Multi_Additional_Sampling">Optimization of Separation Control Performances of Plasma Actuator by EGO with Multi Additional Sampling</a></div><div class="wp-workCard_item"><span>Nenji Taikai</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The performance of separation control was optimized by the Efficient Global Optimization (EGO) wi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The performance of separation control was optimized by the Efficient Global Optimization (EGO) with Multi Additional sampling (MAs). The location of the plasma actuator and its body force were selected as a design variables and explored their optimal values that resluts a maximum lift coefficient for NACA0012 airfoil model in numerical simulation at Reynolds number at 6.0脳10 5. The optimization results showed that the plasma actuator should placed on the leading edge and apply body force to obtain maximum lift at a fixed angle of attack. The simulations also indicated that it is necessary to install plasma actuator above a certain location on the leading edge, for decent separation control.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="77f895dad8aeaed593e095a2de72d098" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":110093408,"asset_id":113020886,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/110093408/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020886"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020886"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020886; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="113020885"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/113020885/Physical_construction_of_local_design_information_for_sounding_hybrid_rocket_design_via_correlation_based_information_hierarchical_structure"><img alt="Research paper thumbnail of Physical construction of local design information for sounding hybrid rocket design via correlation-based information hierarchical structure" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/113020885/Physical_construction_of_local_design_information_for_sounding_hybrid_rocket_design_via_correlation_based_information_hierarchical_structure">Physical construction of local design information for sounding hybrid rocket design via correlation-based information hierarchical structure</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Design information in practical engineering problems is briefly classified into two groups: globa...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Design information in practical engineering problems is briefly classified into two groups: global and local design information. Global design information is easy to physically construct but mostly trivial. In contrast, local design information is difficult to physically interpret because of mechanical acquisition but potentially worth for innovative design. This research deals with a recent data mining be named Correlation-based Information Hierarchical Structuring Method; we apply it to a practical engineering problem to physically construct local design information. As a result, our approach has successfully functioned as intuitive visual mining to generate latent hierarchical structure of the design space. Moreover, local design information regarding sweet spots was consequently revealed although the former mining techniques did not obtain them; physical construction could be also implemented by handling it.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020885"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020885"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020885; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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} }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="113020884"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/113020884/Lift_rise_realm_exploration_of_aircraft_flap_with_yaw_wise_rotation_by_multiple_sampling_type_Kriging_model"><img alt="Research paper thumbnail of Lift rise realm exploration of aircraft flap with yaw-wise rotation by multiple-sampling-type Kriging model" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/113020884/Lift_rise_realm_exploration_of_aircraft_flap_with_yaw_wise_rotation_by_multiple_sampling_type_Kriging_model">Lift rise realm exploration of aircraft flap with yaw-wise rotation by multiple-sampling-type Kriging model</a></div><div class="wp-workCard_item"><span>The Proceedings of The Computational Mechanics Conference</span><span>, 2021</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020884"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020884"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020884; 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</script> <div class="js-work-strip profile--work_container" data-work-id="113020883"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/113020883/Evolutionary_Multidisciplinary_Design_Optimization_of_Blended_Wing_Body_Type_Flyback_Booster"><img alt="Research paper thumbnail of Evolutionary Multidisciplinary Design Optimization of Blended-Wing-Body-Type Flyback Booster" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/113020883/Evolutionary_Multidisciplinary_Design_Optimization_of_Blended_Wing_Body_Type_Flyback_Booster">Evolutionary Multidisciplinary Design Optimization of Blended-Wing-Body-Type Flyback Booster</a></div><div class="wp-workCard_item"><span>AIAA Scitech 2019 Forum</span><span>, 2019</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020883"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020883"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020883; 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</script> <div class="js-work-strip profile--work_container" data-work-id="113020882"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/113020882/Staging_Analysis_of_Two_Stage_Winged_Rocket_Considering_Aerodynamic_Interference"><img alt="Research paper thumbnail of Staging Analysis of Two-Stage Winged Rocket Considering Aerodynamic Interference" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/113020882/Staging_Analysis_of_Two_Stage_Winged_Rocket_Considering_Aerodynamic_Interference">Staging Analysis of Two-Stage Winged Rocket Considering Aerodynamic Interference</a></div><div class="wp-workCard_item"><span>The Proceedings of Conference of Kyushu Branch</span><span>, 2018</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020882"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020882"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020882; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=113020882]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":113020882,"title":"Staging Analysis of Two-Stage Winged Rocket Considering Aerodynamic Interference","internal_url":"https://www.academia.edu/113020882/Staging_Analysis_of_Two_Stage_Winged_Rocket_Considering_Aerodynamic_Interference","owner_id":114190361,"coauthors_can_edit":true,"owner":{"id":114190361,"first_name":"Masahiro","middle_initials":null,"last_name":"Kanazaki","page_name":"MasahiroKanazaki","domain_name":"independent","created_at":"2019-05-21T09:02:12.115-07:00","display_name":"Masahiro Kanazaki","url":"https://independent.academia.edu/MasahiroKanazaki"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="113020881"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/113020881/Optimization_of_Separation_Control_Performances_of_Plasma_Actuator_by_EGO_with_Multi_Additional_Sampling"><img alt="Research paper thumbnail of Optimization of Separation Control Performances of Plasma Actuator by EGO with Multi Additional Sampling" class="work-thumbnail" src="https://attachments.academia-assets.com/110093394/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/113020881/Optimization_of_Separation_Control_Performances_of_Plasma_Actuator_by_EGO_with_Multi_Additional_Sampling">Optimization of Separation Control Performances of Plasma Actuator by EGO with Multi Additional Sampling</a></div><div class="wp-workCard_item"><span>The Proceedings of Mechanical Engineering Congress, Japan</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The performance of separation control was optimized by the Efficient Global Optimization (EGO) wi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The performance of separation control was optimized by the Efficient Global Optimization (EGO) with Multi Additional sampling (MAs). The location of the plasma actuator and its body force were selected as a design variables and explored their optimal values that resluts a maximum lift coefficient for NACA0012 airfoil model in numerical simulation at Reynolds number at 6.0脳10 5. The optimization results showed that the plasma actuator should placed on the leading edge and apply body force to obtain maximum lift at a fixed angle of attack. The simulations also indicated that it is necessary to install plasma actuator above a certain location on the leading edge, for decent separation control.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1dbb2ba9fb80a64cefdcd66cb81b02b3" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":110093394,"asset_id":113020881,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/110093394/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020881"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020881"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020881; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="113020878"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/113020878/1802_High_lift_Airfoil_Design_for_a_Take_Off_Configuration_Using_Kriging_Based_GA"><img alt="Research paper thumbnail of 1802 High-lift Airfoil Design for a Take-Off Configuration Using Kriging Based GA" class="work-thumbnail" src="https://attachments.academia-assets.com/110093392/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/113020878/1802_High_lift_Airfoil_Design_for_a_Take_Off_Configuration_Using_Kriging_Based_GA">1802 High-lift Airfoil Design for a Take-Off Configuration Using Kriging Based GA</a></div><div class="wp-workCard_item"><span>The Proceedings of The Computational Mechanics Conference</span><span>, 2007</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1fdc48af6fdc8c87ce21784cbd1cb1b2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":110093392,"asset_id":113020878,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/110093392/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020878"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020878"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020878; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=113020878]").text(description); $(".js-view-count[data-work-id=113020878]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 113020878; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='113020878']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "1fdc48af6fdc8c87ce21784cbd1cb1b2" } } $('.js-work-strip[data-work-id=113020878]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":113020878,"title":"1802 High-lift Airfoil Design for a Take-Off Configuration Using Kriging Based GA","internal_url":"https://www.academia.edu/113020878/1802_High_lift_Airfoil_Design_for_a_Take_Off_Configuration_Using_Kriging_Based_GA","owner_id":114190361,"coauthors_can_edit":true,"owner":{"id":114190361,"first_name":"Masahiro","middle_initials":null,"last_name":"Kanazaki","page_name":"MasahiroKanazaki","domain_name":"independent","created_at":"2019-05-21T09:02:12.115-07:00","display_name":"Masahiro Kanazaki","url":"https://independent.academia.edu/MasahiroKanazaki"},"attachments":[{"id":110093392,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/110093392/thumbnails/1.jpg","file_name":"_pdf.pdf","download_url":"https://www.academia.edu/attachments/110093392/download_file","bulk_download_file_name":"1802_High_lift_Airfoil_Design_for_a_Take.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/110093392/_pdf-libre.pdf?1704498025=\u0026response-content-disposition=attachment%3B+filename%3D1802_High_lift_Airfoil_Design_for_a_Take.pdf\u0026Expires=1740506061\u0026Signature=gG~I-wUz7Nrtju6pc9R0erID-T2~A9wZywRI4o46QS8eTUh6n4c-lxtSN~XH6XJz-Lt3A39JgCn2OXZqGVCSjfE0QCrSl7vohF08PzTIeeDsKbyKnh4wj-oAmOWOffFzT0mn~9K0iC6nNm3YZexAEZ4oLR9-9QbqzuPQ4Mt4i2cGfHMqZFUdkh2sTA~0zVe98JmkItI0c3GzWMCxH1NVU6uc1DDN-BwZNM9JQuAN0~AtMQGYoAJIEUEVf36AowwMU8ORFx0wQ5rTmpEbMBJtdVn4O8BrBen4SGkngIFzRg1JLUcDhHd2V1PGGp7cEcRAX9Y1Y7O42QM-6kSHNJ5GmA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="113020877"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/113020877/Hybrid_Propulsion_Technology_Development_in_Japan_for_Economic_Space_Launch"><img alt="Research paper thumbnail of Hybrid Propulsion Technology Development in Japan for Economic Space Launch" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/113020877/Hybrid_Propulsion_Technology_Development_in_Japan_for_Economic_Space_Launch">Hybrid Propulsion Technology Development in Japan for Economic Space Launch</a></div><div class="wp-workCard_item"><span>Springer Aerospace Technology</span><span>, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The demand for the economic and dedicated space launchers for vast amount of lightweight, so-call...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The demand for the economic and dedicated space launchers for vast amount of lightweight, so-called nano-/microsatellites, is now growing rapidly. There is a strong rationale for the usage of the hybrid propulsion for economic space launch as suggested by the assessment conducted here. A typical concept of development of such an economic three-stage launcher, in which clustering unit hybrid rocket engines are employed, is described with a development scenario. Thanks to the benefits of hybrid rocket propulsion, assuring and safe, economic launcher dedicated to lightweight satellites can be developed with a reasonable amount of quality assurance and quality control actions being taken in all aspects of development such as raw material, production, transportation, storage, and operation. By applying a multi-objective optimization technique for such a launch system, examples of possible launch systems are obtained for a typical mission scenario for the launch of lightweight satellites. Furthermore, some important technologies that contribute strongly to economic space launch by hybrid propulsion are described. They are the behavior of fuel regression rate, the swirling-oxidizer-flow-type hybrid rocket, the liquid oxygen vaporization, the multi-section swirl injection, the low-temperature melting point thermoplastic fuel, the thrust and O/F simultaneous control by altering-intensity swirl-oxidizer-flow-type (A-SOFT) hybrid, the numerical simulations of the internal ballistics, and so on.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020877"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020877"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020877; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=113020877]").text(description); $(".js-view-count[data-work-id=113020877]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 113020877; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='113020877']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=113020877]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":113020877,"title":"Hybrid Propulsion Technology Development in Japan for Economic Space Launch","internal_url":"https://www.academia.edu/113020877/Hybrid_Propulsion_Technology_Development_in_Japan_for_Economic_Space_Launch","owner_id":114190361,"coauthors_can_edit":true,"owner":{"id":114190361,"first_name":"Masahiro","middle_initials":null,"last_name":"Kanazaki","page_name":"MasahiroKanazaki","domain_name":"independent","created_at":"2019-05-21T09:02:12.115-07:00","display_name":"Masahiro Kanazaki","url":"https://independent.academia.edu/MasahiroKanazaki"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="113020875"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/113020875/Investigation_and_Improvement_of_High_Lift_Aerodynamic_Performances_in_Lowspeed_Wind_Tunnel_Testing"><img alt="Research paper thumbnail of Investigation and Improvement of High-Lift Aerodynamic Performances in Lowspeed Wind Tunnel Testing" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/113020875/Investigation_and_Improvement_of_High_Lift_Aerodynamic_Performances_in_Lowspeed_Wind_Tunnel_Testing">Investigation and Improvement of High-Lift Aerodynamic Performances in Lowspeed Wind Tunnel Testing</a></div><div class="wp-workCard_item"><span>46th AIAA Aerospace Sciences Meeting and Exhibit</span><span>, 2008</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020875"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020875"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020875; 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</script> <div class="js-work-strip profile--work_container" data-work-id="113020866"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/113020866/Aircraft_trajectory_optimization_during_descent_using_a_kriging_model_based_genetic_algorithm"><img alt="Research paper thumbnail of Aircraft trajectory optimization during descent using a kriging-model-based-genetic algorithm" class="work-thumbnail" src="https://attachments.academia-assets.com/110093379/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/113020866/Aircraft_trajectory_optimization_during_descent_using_a_kriging_model_based_genetic_algorithm">Aircraft trajectory optimization during descent using a kriging-model-based-genetic algorithm</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A time-series flight trajectory technique was developed for use in a civil aircraft during descen...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A time-series flight trajectory technique was developed for use in a civil aircraft during descent. The three-degree-of-freedom (3-DoF) equations of motion were solved via time-series prediction of aerodynamic forces. In the present evaluation, the microburst effect during the descent was considered. The single-objective optimization problem, in which the cost function indicating the trajectory efficiency was minimized, was solved by means of a Kriging model based genetic algorithm (GA) which produces an efficient global optimization process. The optimal trajectory results were compared with those without the microburst condition during the descent. The minimization solution converged well in each case for both conditions plus the differences in flight profiles based on the trajectory history were smaller than those of the solutions before optimization. An analysis of variance and parallel coordinate plot were applied to acquire the quantitative information for the initial condition...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4b11dd1e33b00d5d160729eb7063f176" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":110093379,"asset_id":113020866,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/110093379/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020866"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020866"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020866; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=113020866]").text(description); $(".js-view-count[data-work-id=113020866]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 113020866; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='113020866']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "4b11dd1e33b00d5d160729eb7063f176" } } $('.js-work-strip[data-work-id=113020866]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":113020866,"title":"Aircraft trajectory optimization during descent using a kriging-model-based-genetic algorithm","internal_url":"https://www.academia.edu/113020866/Aircraft_trajectory_optimization_during_descent_using_a_kriging_model_based_genetic_algorithm","owner_id":114190361,"coauthors_can_edit":true,"owner":{"id":114190361,"first_name":"Masahiro","middle_initials":null,"last_name":"Kanazaki","page_name":"MasahiroKanazaki","domain_name":"independent","created_at":"2019-05-21T09:02:12.115-07:00","display_name":"Masahiro Kanazaki","url":"https://independent.academia.edu/MasahiroKanazaki"},"attachments":[{"id":110093379,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/110093379/thumbnails/1.jpg","file_name":"JM_Dis2018_08_Norazila_pp59-73z.pdf","download_url":"https://www.academia.edu/attachments/110093379/download_file","bulk_download_file_name":"Aircraft_trajectory_optimization_during.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/110093379/JM_Dis2018_08_Norazila_pp59-73z-libre.pdf?1704498034=\u0026response-content-disposition=attachment%3B+filename%3DAircraft_trajectory_optimization_during.pdf\u0026Expires=1740506061\u0026Signature=MCMt9W0T~fN0rXl68sXMyMWMtNL14CUI5cOM9ugouhlLfA6ZoSBXlzcRZq8Ky8FW~q3heE-EQibpueMiwsPb1m-foOqe~pIZ20ZycIEGzf~Rt-UkhKwQ09tIro5SaZbQ7BnFJhg6M51CSJvwhOKZSRNF-IpzMaw7f1bMwdZw0PNoDVI0Tq9lz-nu8vX8usD~U-ZNeSNVxdE9iCUBzdIrk8td0l-lGxvRWjVcLiAuNXDGhQuWOe3lJd1Jg4MpXiDjVjefgfhE1VFZDELKwDGLYG5Y7XCGhoSSxP-lGP1PCIEWR0WPhPakR9RcPlr8SPLVbGnhMvAYgD1ZfZQN1AXasQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":110093378,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/110093378/thumbnails/1.jpg","file_name":"JM_Dis2018_08_Norazila_pp59-73z.pdf","download_url":"https://www.academia.edu/attachments/110093378/download_file","bulk_download_file_name":"Aircraft_trajectory_optimization_during.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/110093378/JM_Dis2018_08_Norazila_pp59-73z-libre.pdf?1704498038=\u0026response-content-disposition=attachment%3B+filename%3DAircraft_trajectory_optimization_during.pdf\u0026Expires=1740506061\u0026Signature=daa5UcCaHCYPndTXBR4NQp6b0wht12ngb7OXg7-kc7OrMBVnQNufQWYXUOO6M5fJHvBWE5LwHkTh4QHfJyQSmXSwnXrARZtdmsqnkOHqzMLbcMIHpz7ko4ZJ-t5tqRUlyiJ~nemki1xw3oe0kXRQ52B3~DaZDtsH3qj6NOHREzxaohBAT9xvrTttwYMS-1TccHqkj5yOr~In-84ylU-NzV2HvpuuBX7mo1dUyTaMric8Jr8p690zb0c3LN1r3WRxlng5oT~VBt-JDExIsz9fLwFMxSlRdm9d5dRf9VUCi1nHDSrOs~fJKC7lVbLr4OJosEm3k8Y4VlHdGaMb0BXSng__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="105945883"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/105945883/Multi_additional_Sampling_Multi_objective_Efficient_Global_Optimization_applied_to_UAVs_Airfoil_Design_Problem"><img alt="Research paper thumbnail of Multi-additional Sampling Multi-objective Efficient Global Optimization applied to UAVs Airfoil Design Problem" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/105945883/Multi_additional_Sampling_Multi_objective_Efficient_Global_Optimization_applied_to_UAVs_Airfoil_Design_Problem">Multi-additional Sampling Multi-objective Efficient Global Optimization applied to UAVs Airfoil Design Problem</a></div><div class="wp-workCard_item"><span>2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In the aircraft design methodology, there are many methods to measuring the UAVs performance, suc...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In the aircraft design methodology, there are many methods to measuring the UAVs performance, such as, the minimize drag, the lift required or the take-off/landing performance etc. The multi-objective optimization is one of the popular method for UAVs design problem. In addition, in the UAVs design problem is required for high computational cost such as computation of fluid dynamics. The solution to the said problem could be reached through the method of the Efficient Global Optimization algorithm (or abbreviated, the EGO). However, the EGO was, in the first instant, intended for very limited use; namely, it was utilized as a solution for a single-objective optimization problem with just one additional sampling. Then, the EGO method must be required for long computational time for single-additional sampling procedure. The objective of this particular research was to study the EGO with multi-objective multi-additional sampling as a solution to the UAVs airfoil design problem. The Expected Hypervolume Improvement (EHVI) is applied with the EGO process with an intention to find a solution to the multi-objective optimization problem. Furthermore, there was a proposal to use multiple additional sampling methods in the efficiency improvement of the additional sampling process in EGO, and at the same time, keeping the performance of exploration based on EHVI maximization at the same constant There are two main goals in the application of this algorithm to UAVs airfoil design optimization, which include minimizing aerodynamic drag and maximizing UAVs airfoil thickness at the trailing edge. The Reynolds-averaged Navier-Stokes simulation is applied for aerodynamic evaluation. By adopting the airfoil design, the results were the reduction in the aerodynamic drag, as well as 5% improvement of the thickness of the airfoil at the trailing edge when compared with the airfoil initial design.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="105945883"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="105945883"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 105945883; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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</script> <div class="js-work-strip profile--work_container" data-work-id="105945882"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/105945882/Supersonic_Forward_Swept_Wing_Design_Using_Multifidelity_Efficient_Global_Optimization"><img alt="Research paper thumbnail of Supersonic Forward-Swept Wing Design Using Multifidelity Efficient Global Optimization" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/105945882/Supersonic_Forward_Swept_Wing_Design_Using_Multifidelity_Efficient_Global_Optimization">Supersonic Forward-Swept Wing Design Using Multifidelity Efficient Global Optimization</a></div><div class="wp-workCard_item"><span>Journal of Aircraft</span><span>, 2022</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="105945882"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="105945882"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 105945882; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=105945882]").text(description); $(".js-view-count[data-work-id=105945882]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 105945882; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='105945882']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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Regarding pit crater exploration, helicopter which can climb and descend quickly is expected to be utilized. This paper introduces blade shape optimization of Mars helicopter exploring pit craters. Definition of a mission, selection of aircraft types, conceptual design, optimization of blade twist angle and airfoil, and rotor test are conducted. As a result, hexa-rotor which has robustness, resistance to gust, and fault tolerance is proposed. Moreover, it is confirmed that the mission can be accomplished, carrying instruments on the helicopter within payload weight. Hovering performance of the helicopter is improved by optimizing blade twisting angle and airfoil. And it is found that there is a good correlation between experiment and numerical simulation with respect t...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116784563"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116784563"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116784563; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116784563]").text(description); 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</script> <div class="js-work-strip profile--work_container" data-work-id="113020892"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/113020892/Feedback_Circulating_Design_Space_Exploration_by_Multi_Sampling_Kriging_Model"><img alt="Research paper thumbnail of Feedback-Circulating Design Space Exploration by Multi-Sampling Kriging Model" class="work-thumbnail" src="https://attachments.academia-assets.com/110093407/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/113020892/Feedback_Circulating_Design_Space_Exploration_by_Multi_Sampling_Kriging_Model">Feedback-Circulating Design Space Exploration by Multi-Sampling Kriging Model</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study has investigated whether adding yaw-wise rotation to an aircraft flap improves lift pe...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study has investigated whether adding yaw-wise rotation to an aircraft flap improves lift performance and elucidated its improvement mechanism. The aircraft is optimized for cruising conditions and lacks takeoff and landing performance. Hence, high-lift devices, such as slats and flaps, compensate for the lift performance. Since flaps move along rails, the gap between the wing and the flap is spanwise constant. However, since the flow field is three-dimensional, the gap should also have a spanwise distribution to raise the lift. Thus, this study defined a design problem for lift maximization with the gap and the yaw-wise rotation angle as design variables. This problem adopted a surrogate model because of the small number of objective functions and design variables. A Kriging model modified to add multiple sample points optimized this problem. Furthermore, the study utilized a feedback-circulating exploration to reach the physical essence of the problem. The result eventually revealed that adding a rotation angle ameliorated the lift. The acceleration of the flow velocity through the gap at the appropriate spanwise position causes the separation of the flap's upper surface to recede, further reducing the pressure on the wing's upper surface and growing the lift on both the flap and the wing.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="73722b21b58bc711cf1465b23ca75471" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":110093407,"asset_id":113020892,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/110093407/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020892"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020892"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020892; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="113020891"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/113020891/Proceedings_in_Adaptation_Learning_and_Optimization"><img alt="Research paper thumbnail of Proceedings in Adaptation, Learning and Optimization" class="work-thumbnail" src="https://attachments.academia-assets.com/110093406/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/113020891/Proceedings_in_Adaptation_Learning_and_Optimization">Proceedings in Adaptation, Learning and Optimization</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The increased dimensionality of genomic and proteomic data produced by microarray and mass spectr...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The increased dimensionality of genomic and proteomic data produced by microarray and mass spectrometry technology makes testing and training of general classification method difficult. Special data analysis is demanded in this case and one of the common ways to handle high dimensionality is identification of the most relevant features in the data. Wrapper feature selection is one of the most common and effective techniques for feature selection. Although efficient, wrapper methods have some limitations due to the fact that their result depends on the search strategy. In theory when a complex search is used, it may take much longer to choose the best subset of features and may be impractical in some cases. Hence we propose a new wrapper feature selection for big data based on a random search using genetic algorithm and prior information. The new approach was tested on 2 biological dataset and compared to two well known wrapper feature selection approaches and results illustrate that our approach gives the best performances.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f49fef015188860490055a79fcdd0891" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":110093406,"asset_id":113020891,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/110093406/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020891"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020891"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020891; 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} }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="113020889"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/113020889/Hypothesis_derivation_and_its_verification_by_a_wholly_automated_many_objective_evolutionary_optimization_system"><img alt="Research paper thumbnail of Hypothesis derivation and its verification by a wholly automated many-objective evolutionary optimization system" class="work-thumbnail" src="https://attachments.academia-assets.com/110093395/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/113020889/Hypothesis_derivation_and_its_verification_by_a_wholly_automated_many_objective_evolutionary_optimization_system">Hypothesis derivation and its verification by a wholly automated many-objective evolutionary optimization system</a></div><div class="wp-workCard_item"><span>Neural Computing and Applications</span><span>, Mar 6, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study has constructed a fully automated multidisciplinary and many-objective evolutionary de...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study has constructed a fully automated multidisciplinary and many-objective evolutionary design optimization system independent of computer environments to evaluate objective functions; the research applied it to a geometric design problem of a flyback booster for next-generation space transportation. In optimization involving objective functions to appraise the aero-/structural-dynamic performance with high fidelity, spatial discretization hinders the overall automation. This research has facilitated an efficient optimal design by wholly automating high-fidelity assessments, which designers had to implement manually, and has accomplished optimizations that directly contribute to real-world design problems. Moreover, this study would accumulate design knowledge for space transportation that the market is reviving. The total automated system yielded the embedding of geometric trait lines to ensure the discretization even for large curvature surfaces; the system innovated a robust automatic error-checking mechanism in the system's preprocess. Consequently, the entirely automatized optimization procured nondominated solution sets for more precise data analyses in a pragmatic execution period. Design informatics, a framework combining optimization and data analysis, functioned usefully in realworld design on flyback-booster geometry by materializing smooth deriving and verifying a design hypothesis; eventually, the research gained a new design principle. Keywords Entire automatization system 脕 Multidisciplinary and many-objective evolutionary optimization 脕 Real-world pragmatic design 脕 Computational fluid dynamics with unstructured mesh methods 脕 Hypothesis derivation and its verification & Kazuhisa Chiba</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e11ff7698944817d0d710caf9a758c82" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":110093395,"asset_id":113020889,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/110093395/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020889"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020889"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020889; 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</script> <div class="js-work-strip profile--work_container" data-work-id="113020887"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/113020887/Design_of_Blended_Wing_Body_Type_Flyback_Booster_by_Hypervolume_Based_Evolutionary_Computation"><img alt="Research paper thumbnail of Design of Blended-Wing-Body-Type Flyback Booster by Hypervolume-Based Evolutionary Computation" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/113020887/Design_of_Blended_Wing_Body_Type_Flyback_Booster_by_Hypervolume_Based_Evolutionary_Computation">Design of Blended-Wing-Body-Type Flyback Booster by Hypervolume-Based Evolutionary Computation</a></div><div class="wp-workCard_item"><span>Keisan Rikigaku Koenkai koen ronbunshu</span><span>, 2018</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020887"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020887"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020887; 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</script> <div class="js-work-strip profile--work_container" data-work-id="113020886"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/113020886/Optimization_of_Separation_Control_Performances_of_Plasma_Actuator_by_EGO_with_Multi_Additional_Sampling"><img alt="Research paper thumbnail of Optimization of Separation Control Performances of Plasma Actuator by EGO with Multi Additional Sampling" class="work-thumbnail" src="https://attachments.academia-assets.com/110093408/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/113020886/Optimization_of_Separation_Control_Performances_of_Plasma_Actuator_by_EGO_with_Multi_Additional_Sampling">Optimization of Separation Control Performances of Plasma Actuator by EGO with Multi Additional Sampling</a></div><div class="wp-workCard_item"><span>Nenji Taikai</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The performance of separation control was optimized by the Efficient Global Optimization (EGO) wi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The performance of separation control was optimized by the Efficient Global Optimization (EGO) with Multi Additional sampling (MAs). The location of the plasma actuator and its body force were selected as a design variables and explored their optimal values that resluts a maximum lift coefficient for NACA0012 airfoil model in numerical simulation at Reynolds number at 6.0脳10 5. The optimization results showed that the plasma actuator should placed on the leading edge and apply body force to obtain maximum lift at a fixed angle of attack. The simulations also indicated that it is necessary to install plasma actuator above a certain location on the leading edge, for decent separation control.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="77f895dad8aeaed593e095a2de72d098" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":110093408,"asset_id":113020886,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/110093408/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020886"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020886"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020886; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "77f895dad8aeaed593e095a2de72d098" } } $('.js-work-strip[data-work-id=113020886]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":113020886,"title":"Optimization of Separation Control Performances of Plasma Actuator by EGO with Multi Additional Sampling","internal_url":"https://www.academia.edu/113020886/Optimization_of_Separation_Control_Performances_of_Plasma_Actuator_by_EGO_with_Multi_Additional_Sampling","owner_id":114190361,"coauthors_can_edit":true,"owner":{"id":114190361,"first_name":"Masahiro","middle_initials":null,"last_name":"Kanazaki","page_name":"MasahiroKanazaki","domain_name":"independent","created_at":"2019-05-21T09:02:12.115-07:00","display_name":"Masahiro Kanazaki","url":"https://independent.academia.edu/MasahiroKanazaki"},"attachments":[{"id":110093408,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/110093408/thumbnails/1.jpg","file_name":"_pdf.pdf","download_url":"https://www.academia.edu/attachments/110093408/download_file","bulk_download_file_name":"Optimization_of_Separation_Control_Perfo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/110093408/_pdf-libre.pdf?1704498040=\u0026response-content-disposition=attachment%3B+filename%3DOptimization_of_Separation_Control_Perfo.pdf\u0026Expires=1740506061\u0026Signature=OZN4460sjA5po4hLwr5RaINF5FdwFLTmbxMv6ghC~~7tB970L-Mh3d5Nz95nhJEPIaX~bCbmdsLl4I-aLJ6Xra8BS7r9voObYaOwPNbtsDKBcrRnhzEpVbc4KfnKxUVu~MPX8~nNM~i05XU1~By8S-GSWPGeQoaPu9e8REUrjk1PpCIJ1CPsIoYCckRrKAKKEcpAxb9E4GoceXRw02e7zlHcD9s5nlTCWx~AhMiSTU4ysvrPdekf5zBy45XKgTZ3jeBNZ~26M1l9YzTJ1dZ6q5wtZtMgr22sx3QW64NuFtcAjgSl7NnUUQDqGM-axFr0ayv4~-pXiNxrKXHrLRHPNw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="113020885"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/113020885/Physical_construction_of_local_design_information_for_sounding_hybrid_rocket_design_via_correlation_based_information_hierarchical_structure"><img alt="Research paper thumbnail of Physical construction of local design information for sounding hybrid rocket design via correlation-based information hierarchical structure" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/113020885/Physical_construction_of_local_design_information_for_sounding_hybrid_rocket_design_via_correlation_based_information_hierarchical_structure">Physical construction of local design information for sounding hybrid rocket design via correlation-based information hierarchical structure</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Design information in practical engineering problems is briefly classified into two groups: globa...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Design information in practical engineering problems is briefly classified into two groups: global and local design information. Global design information is easy to physically construct but mostly trivial. In contrast, local design information is difficult to physically interpret because of mechanical acquisition but potentially worth for innovative design. This research deals with a recent data mining be named Correlation-based Information Hierarchical Structuring Method; we apply it to a practical engineering problem to physically construct local design information. As a result, our approach has successfully functioned as intuitive visual mining to generate latent hierarchical structure of the design space. Moreover, local design information regarding sweet spots was consequently revealed although the former mining techniques did not obtain them; physical construction could be also implemented by handling it.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020885"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020885"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020885; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=113020885]").text(description); $(".js-view-count[data-work-id=113020885]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 113020885; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='113020885']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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} }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="113020884"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/113020884/Lift_rise_realm_exploration_of_aircraft_flap_with_yaw_wise_rotation_by_multiple_sampling_type_Kriging_model"><img alt="Research paper thumbnail of Lift rise realm exploration of aircraft flap with yaw-wise rotation by multiple-sampling-type Kriging model" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/113020884/Lift_rise_realm_exploration_of_aircraft_flap_with_yaw_wise_rotation_by_multiple_sampling_type_Kriging_model">Lift rise realm exploration of aircraft flap with yaw-wise rotation by multiple-sampling-type Kriging model</a></div><div class="wp-workCard_item"><span>The Proceedings of The Computational Mechanics Conference</span><span>, 2021</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020884"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020884"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020884; 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</script> <div class="js-work-strip profile--work_container" data-work-id="113020883"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/113020883/Evolutionary_Multidisciplinary_Design_Optimization_of_Blended_Wing_Body_Type_Flyback_Booster"><img alt="Research paper thumbnail of Evolutionary Multidisciplinary Design Optimization of Blended-Wing-Body-Type Flyback Booster" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/113020883/Evolutionary_Multidisciplinary_Design_Optimization_of_Blended_Wing_Body_Type_Flyback_Booster">Evolutionary Multidisciplinary Design Optimization of Blended-Wing-Body-Type Flyback Booster</a></div><div class="wp-workCard_item"><span>AIAA Scitech 2019 Forum</span><span>, 2019</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020883"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020883"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020883; 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</script> <div class="js-work-strip profile--work_container" data-work-id="113020882"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/113020882/Staging_Analysis_of_Two_Stage_Winged_Rocket_Considering_Aerodynamic_Interference"><img alt="Research paper thumbnail of Staging Analysis of Two-Stage Winged Rocket Considering Aerodynamic Interference" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/113020882/Staging_Analysis_of_Two_Stage_Winged_Rocket_Considering_Aerodynamic_Interference">Staging Analysis of Two-Stage Winged Rocket Considering Aerodynamic Interference</a></div><div class="wp-workCard_item"><span>The Proceedings of Conference of Kyushu Branch</span><span>, 2018</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020882"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020882"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020882; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=113020882]").text(description); $(".js-view-count[data-work-id=113020882]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 113020882; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='113020882']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=113020882]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":113020882,"title":"Staging Analysis of Two-Stage Winged Rocket Considering Aerodynamic Interference","internal_url":"https://www.academia.edu/113020882/Staging_Analysis_of_Two_Stage_Winged_Rocket_Considering_Aerodynamic_Interference","owner_id":114190361,"coauthors_can_edit":true,"owner":{"id":114190361,"first_name":"Masahiro","middle_initials":null,"last_name":"Kanazaki","page_name":"MasahiroKanazaki","domain_name":"independent","created_at":"2019-05-21T09:02:12.115-07:00","display_name":"Masahiro Kanazaki","url":"https://independent.academia.edu/MasahiroKanazaki"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="113020881"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/113020881/Optimization_of_Separation_Control_Performances_of_Plasma_Actuator_by_EGO_with_Multi_Additional_Sampling"><img alt="Research paper thumbnail of Optimization of Separation Control Performances of Plasma Actuator by EGO with Multi Additional Sampling" class="work-thumbnail" src="https://attachments.academia-assets.com/110093394/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/113020881/Optimization_of_Separation_Control_Performances_of_Plasma_Actuator_by_EGO_with_Multi_Additional_Sampling">Optimization of Separation Control Performances of Plasma Actuator by EGO with Multi Additional Sampling</a></div><div class="wp-workCard_item"><span>The Proceedings of Mechanical Engineering Congress, Japan</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The performance of separation control was optimized by the Efficient Global Optimization (EGO) wi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The performance of separation control was optimized by the Efficient Global Optimization (EGO) with Multi Additional sampling (MAs). The location of the plasma actuator and its body force were selected as a design variables and explored their optimal values that resluts a maximum lift coefficient for NACA0012 airfoil model in numerical simulation at Reynolds number at 6.0脳10 5. The optimization results showed that the plasma actuator should placed on the leading edge and apply body force to obtain maximum lift at a fixed angle of attack. The simulations also indicated that it is necessary to install plasma actuator above a certain location on the leading edge, for decent separation control.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1dbb2ba9fb80a64cefdcd66cb81b02b3" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":110093394,"asset_id":113020881,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/110093394/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020881"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020881"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020881; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="113020878"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/113020878/1802_High_lift_Airfoil_Design_for_a_Take_Off_Configuration_Using_Kriging_Based_GA"><img alt="Research paper thumbnail of 1802 High-lift Airfoil Design for a Take-Off Configuration Using Kriging Based GA" class="work-thumbnail" src="https://attachments.academia-assets.com/110093392/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/113020878/1802_High_lift_Airfoil_Design_for_a_Take_Off_Configuration_Using_Kriging_Based_GA">1802 High-lift Airfoil Design for a Take-Off Configuration Using Kriging Based GA</a></div><div class="wp-workCard_item"><span>The Proceedings of The Computational Mechanics Conference</span><span>, 2007</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1fdc48af6fdc8c87ce21784cbd1cb1b2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":110093392,"asset_id":113020878,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/110093392/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020878"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020878"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020878; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="113020877"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/113020877/Hybrid_Propulsion_Technology_Development_in_Japan_for_Economic_Space_Launch"><img alt="Research paper thumbnail of Hybrid Propulsion Technology Development in Japan for Economic Space Launch" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/113020877/Hybrid_Propulsion_Technology_Development_in_Japan_for_Economic_Space_Launch">Hybrid Propulsion Technology Development in Japan for Economic Space Launch</a></div><div class="wp-workCard_item"><span>Springer Aerospace Technology</span><span>, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The demand for the economic and dedicated space launchers for vast amount of lightweight, so-call...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The demand for the economic and dedicated space launchers for vast amount of lightweight, so-called nano-/microsatellites, is now growing rapidly. There is a strong rationale for the usage of the hybrid propulsion for economic space launch as suggested by the assessment conducted here. A typical concept of development of such an economic three-stage launcher, in which clustering unit hybrid rocket engines are employed, is described with a development scenario. Thanks to the benefits of hybrid rocket propulsion, assuring and safe, economic launcher dedicated to lightweight satellites can be developed with a reasonable amount of quality assurance and quality control actions being taken in all aspects of development such as raw material, production, transportation, storage, and operation. By applying a multi-objective optimization technique for such a launch system, examples of possible launch systems are obtained for a typical mission scenario for the launch of lightweight satellites. Furthermore, some important technologies that contribute strongly to economic space launch by hybrid propulsion are described. They are the behavior of fuel regression rate, the swirling-oxidizer-flow-type hybrid rocket, the liquid oxygen vaporization, the multi-section swirl injection, the low-temperature melting point thermoplastic fuel, the thrust and O/F simultaneous control by altering-intensity swirl-oxidizer-flow-type (A-SOFT) hybrid, the numerical simulations of the internal ballistics, and so on.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020877"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020877"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020877; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=113020877]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":113020877,"title":"Hybrid Propulsion Technology Development in Japan for Economic Space Launch","internal_url":"https://www.academia.edu/113020877/Hybrid_Propulsion_Technology_Development_in_Japan_for_Economic_Space_Launch","owner_id":114190361,"coauthors_can_edit":true,"owner":{"id":114190361,"first_name":"Masahiro","middle_initials":null,"last_name":"Kanazaki","page_name":"MasahiroKanazaki","domain_name":"independent","created_at":"2019-05-21T09:02:12.115-07:00","display_name":"Masahiro Kanazaki","url":"https://independent.academia.edu/MasahiroKanazaki"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="113020875"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/113020875/Investigation_and_Improvement_of_High_Lift_Aerodynamic_Performances_in_Lowspeed_Wind_Tunnel_Testing"><img alt="Research paper thumbnail of Investigation and Improvement of High-Lift Aerodynamic Performances in Lowspeed Wind Tunnel Testing" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/113020875/Investigation_and_Improvement_of_High_Lift_Aerodynamic_Performances_in_Lowspeed_Wind_Tunnel_Testing">Investigation and Improvement of High-Lift Aerodynamic Performances in Lowspeed Wind Tunnel Testing</a></div><div class="wp-workCard_item"><span>46th AIAA Aerospace Sciences Meeting and Exhibit</span><span>, 2008</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020875"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020875"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020875; 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</script> <div class="js-work-strip profile--work_container" data-work-id="113020866"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/113020866/Aircraft_trajectory_optimization_during_descent_using_a_kriging_model_based_genetic_algorithm"><img alt="Research paper thumbnail of Aircraft trajectory optimization during descent using a kriging-model-based-genetic algorithm" class="work-thumbnail" src="https://attachments.academia-assets.com/110093379/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/113020866/Aircraft_trajectory_optimization_during_descent_using_a_kriging_model_based_genetic_algorithm">Aircraft trajectory optimization during descent using a kriging-model-based-genetic algorithm</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A time-series flight trajectory technique was developed for use in a civil aircraft during descen...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A time-series flight trajectory technique was developed for use in a civil aircraft during descent. The three-degree-of-freedom (3-DoF) equations of motion were solved via time-series prediction of aerodynamic forces. In the present evaluation, the microburst effect during the descent was considered. The single-objective optimization problem, in which the cost function indicating the trajectory efficiency was minimized, was solved by means of a Kriging model based genetic algorithm (GA) which produces an efficient global optimization process. The optimal trajectory results were compared with those without the microburst condition during the descent. The minimization solution converged well in each case for both conditions plus the differences in flight profiles based on the trajectory history were smaller than those of the solutions before optimization. An analysis of variance and parallel coordinate plot were applied to acquire the quantitative information for the initial condition...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4b11dd1e33b00d5d160729eb7063f176" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":110093379,"asset_id":113020866,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/110093379/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="113020866"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="113020866"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 113020866; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "4b11dd1e33b00d5d160729eb7063f176" } } $('.js-work-strip[data-work-id=113020866]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":113020866,"title":"Aircraft trajectory optimization during descent using a kriging-model-based-genetic algorithm","internal_url":"https://www.academia.edu/113020866/Aircraft_trajectory_optimization_during_descent_using_a_kriging_model_based_genetic_algorithm","owner_id":114190361,"coauthors_can_edit":true,"owner":{"id":114190361,"first_name":"Masahiro","middle_initials":null,"last_name":"Kanazaki","page_name":"MasahiroKanazaki","domain_name":"independent","created_at":"2019-05-21T09:02:12.115-07:00","display_name":"Masahiro Kanazaki","url":"https://independent.academia.edu/MasahiroKanazaki"},"attachments":[{"id":110093379,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/110093379/thumbnails/1.jpg","file_name":"JM_Dis2018_08_Norazila_pp59-73z.pdf","download_url":"https://www.academia.edu/attachments/110093379/download_file","bulk_download_file_name":"Aircraft_trajectory_optimization_during.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/110093379/JM_Dis2018_08_Norazila_pp59-73z-libre.pdf?1704498034=\u0026response-content-disposition=attachment%3B+filename%3DAircraft_trajectory_optimization_during.pdf\u0026Expires=1740506061\u0026Signature=MCMt9W0T~fN0rXl68sXMyMWMtNL14CUI5cOM9ugouhlLfA6ZoSBXlzcRZq8Ky8FW~q3heE-EQibpueMiwsPb1m-foOqe~pIZ20ZycIEGzf~Rt-UkhKwQ09tIro5SaZbQ7BnFJhg6M51CSJvwhOKZSRNF-IpzMaw7f1bMwdZw0PNoDVI0Tq9lz-nu8vX8usD~U-ZNeSNVxdE9iCUBzdIrk8td0l-lGxvRWjVcLiAuNXDGhQuWOe3lJd1Jg4MpXiDjVjefgfhE1VFZDELKwDGLYG5Y7XCGhoSSxP-lGP1PCIEWR0WPhPakR9RcPlr8SPLVbGnhMvAYgD1ZfZQN1AXasQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":110093378,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/110093378/thumbnails/1.jpg","file_name":"JM_Dis2018_08_Norazila_pp59-73z.pdf","download_url":"https://www.academia.edu/attachments/110093378/download_file","bulk_download_file_name":"Aircraft_trajectory_optimization_during.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/110093378/JM_Dis2018_08_Norazila_pp59-73z-libre.pdf?1704498038=\u0026response-content-disposition=attachment%3B+filename%3DAircraft_trajectory_optimization_during.pdf\u0026Expires=1740506061\u0026Signature=daa5UcCaHCYPndTXBR4NQp6b0wht12ngb7OXg7-kc7OrMBVnQNufQWYXUOO6M5fJHvBWE5LwHkTh4QHfJyQSmXSwnXrARZtdmsqnkOHqzMLbcMIHpz7ko4ZJ-t5tqRUlyiJ~nemki1xw3oe0kXRQ52B3~DaZDtsH3qj6NOHREzxaohBAT9xvrTttwYMS-1TccHqkj5yOr~In-84ylU-NzV2HvpuuBX7mo1dUyTaMric8Jr8p690zb0c3LN1r3WRxlng5oT~VBt-JDExIsz9fLwFMxSlRdm9d5dRf9VUCi1nHDSrOs~fJKC7lVbLr4OJosEm3k8Y4VlHdGaMb0BXSng__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="105945883"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/105945883/Multi_additional_Sampling_Multi_objective_Efficient_Global_Optimization_applied_to_UAVs_Airfoil_Design_Problem"><img alt="Research paper thumbnail of Multi-additional Sampling Multi-objective Efficient Global Optimization applied to UAVs Airfoil Design Problem" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/105945883/Multi_additional_Sampling_Multi_objective_Efficient_Global_Optimization_applied_to_UAVs_Airfoil_Design_Problem">Multi-additional Sampling Multi-objective Efficient Global Optimization applied to UAVs Airfoil Design Problem</a></div><div class="wp-workCard_item"><span>2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In the aircraft design methodology, there are many methods to measuring the UAVs performance, suc...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In the aircraft design methodology, there are many methods to measuring the UAVs performance, such as, the minimize drag, the lift required or the take-off/landing performance etc. The multi-objective optimization is one of the popular method for UAVs design problem. In addition, in the UAVs design problem is required for high computational cost such as computation of fluid dynamics. The solution to the said problem could be reached through the method of the Efficient Global Optimization algorithm (or abbreviated, the EGO). However, the EGO was, in the first instant, intended for very limited use; namely, it was utilized as a solution for a single-objective optimization problem with just one additional sampling. Then, the EGO method must be required for long computational time for single-additional sampling procedure. The objective of this particular research was to study the EGO with multi-objective multi-additional sampling as a solution to the UAVs airfoil design problem. The Expected Hypervolume Improvement (EHVI) is applied with the EGO process with an intention to find a solution to the multi-objective optimization problem. Furthermore, there was a proposal to use multiple additional sampling methods in the efficiency improvement of the additional sampling process in EGO, and at the same time, keeping the performance of exploration based on EHVI maximization at the same constant There are two main goals in the application of this algorithm to UAVs airfoil design optimization, which include minimizing aerodynamic drag and maximizing UAVs airfoil thickness at the trailing edge. The Reynolds-averaged Navier-Stokes simulation is applied for aerodynamic evaluation. By adopting the airfoil design, the results were the reduction in the aerodynamic drag, as well as 5% improvement of the thickness of the airfoil at the trailing edge when compared with the airfoil initial design.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="105945883"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="105945883"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 105945883; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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</script> <div class="js-work-strip profile--work_container" data-work-id="105945882"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/105945882/Supersonic_Forward_Swept_Wing_Design_Using_Multifidelity_Efficient_Global_Optimization"><img alt="Research paper thumbnail of Supersonic Forward-Swept Wing Design Using Multifidelity Efficient Global Optimization" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/105945882/Supersonic_Forward_Swept_Wing_Design_Using_Multifidelity_Efficient_Global_Optimization">Supersonic Forward-Swept Wing Design Using Multifidelity Efficient Global Optimization</a></div><div class="wp-workCard_item"><span>Journal of Aircraft</span><span>, 2022</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="105945882"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="105945882"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 105945882; 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