For complicated aerodynamic design problems, the efficient global optimization method suffered from defect of incorrect portrayal space, resulting in bad convergence and efficiency performance. To this end, a Kriging-based method, named space exploration (KSE), was proposed paper. It selected multiple promising local minima classified them into partially fully explored terms fitting quality sur...

Learning optimal control policies directly on physical systems is challenging. Even a single failure can lead to costly hardware damage. Most existing model-free learning methods that guarantee safety, i.e., no failures, during exploration are limited local optima. This work proposes GoSafeOpt as the first provably safe and algorithm safely discover globally for with high-dimensional state spac...

The incorporation of digital learning and teaching tools has been recognized as presenting an opportunity to maximize access, quality, inclusion, especially when it comes international education. Unanticipated events, such the COVID 19 pandemic, can result in profound disruptions learning, use these provide mitigation disruptions. This paper reports on design study InVEST global virtual team (G...

Submit Manuscript | http://medcraveonline.com Space Agency; MELOS: Mars Exploration with Lander-Orbiter Synergy; JAXA: Japan Aerospace Exploration Agency; ARES: Aerial Regional-scale Environmental Survey; L/D: Lift-to-Drag Ratio; LES: Large-Eddy Simulations; DNS: Direct Numerical Simulation; MABE: Mars Airplane Balloon Experiment; RANS: Reynolds Averaged Navier-Stokes; CFRP: Carbon Fiber-Reinfo...