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Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains

npj Computational Materials 2021年第1期7卷 1742-1751页

作者： Qiaohao Liang aldair e.gongora Zekun Ren Armi Tiihonen Zhe Liu Shijing Sun James R.Deneault Daniil Bash Flore Mekki-Berrada Saif A.Khan Kedar Hippalgaonkar Benji Maruyama Keith A.Brown John Fisher III Tonio Buonassisi Massachusetts Institute of Technology CambridgeMAUnited States Boston University BostonMAUnited States Singapore-MIT Alliance for Research and Technology SingaporeSingapore Air Force Research Laboratory DaytonOhioUnited States Agency for Science Technology and Research(A*STAR)SingaporeSingapore National University of Singapore SingaporeSingapore Present address:Aalto University EspooFinland Present address:Northwestern Polytechincal University(NPU) Xi’anShaanxi P.R.China

Bayesian optimization(BO)has been leveraged for guiding autonomous and high-throughput experiments in materials ***,few have evaluated the efficiency of BO across a broad range of experimental materials *** this work,we quantify the performance of BO with a collection of surrogate model and acquisition function pairs across five diverse experimental materials *** defining acceleration and enhancement metrics for materials optimization objectives,we find that surrogate models such as Gaussian Process(GP)with anisotropic kernels and Random Forest(RF)have comparable performance in BO,and both outperform the commonly used GP with isotropic *** with anisotropic kernels has demonstrated the most robustness,yet RF is a close alternative and warrants more consideration because it is free from distribution assumptions,has smaller time complexity,and requires less effort in initial hyperparameter *** also raise awareness about the benefits of using GP with anisotropic kernels in future materials optimization campaigns.

关键词： optimization performance acceleration

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Control of a 3-RRR Planar Parallel Robot Using Fractional Order PID Controller

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International Journal of Automation and computing 2020年第6期17卷 822-836页

作者： Auday Al-Mayyahi Ammar A.Aidair Chris Chatwin Department of electrical engineering College of EngineeringUniversity of BasrahBasrahIraq Department of engineering and Design School of Engineering and InformaticsUniversity of SussexBrighton BN 19RHUK

3-RRR planar parallel robots are utilized for solving precise material-handling problems in industrial automation ***,robust and stable control is required to deliver high accuracy in comparison to the state of the *** operation of the mechanism is achieved based on three revolute(3-RRR)joints which are geometrically designed using an open-loop spatial robotic *** inverse kinematic model of the system is derived and analyzed by using the geometric structure with three revolute *** main variables in our design are the platform base positions,the geometry of the joint angles,and links of the 3-RRR planar parallel *** variables are calcula ted based on Cayley-Menger determinants and bilateration to det ermine the final position of the platform when moving and placing ***,a proposed fractional order proportional integral derivative(FOPID)is optimized using the bat optimization algorithm to control the path tracking of the center of the 3-RRR planar parallel *** design is compared with the state of the art and simulated using the Matlab environment to validate the effectiveness of the proposed ***,real-time implementation has been tested to prove that the design performance is practical.

关键词： 3-RRR planar parallel robot Cayley-Menger determinants inverse kinematic model bilateration fraction order proportional integral derivate(PID)controller bat optimization algorithm.

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The engineering Professional and the Labor Market Demands： electronic engineer and Mechanical engineer

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Journal of Mechanics engineering and Automation 2014年第7期4卷 616-624页

作者： aldair Oliveira de Andrade Antonio Marcos de Oliveira Siqueira Lucas Henrique Figueiredo Prates Instituto de educacao Agricultura e Ambiente Universidade Federal do Amazonas Humaita 69800-000 Brazil Department of Chemistry Universidade Federal de Vicosa Vicosa 36570-900 Brazil

The purpose of this study is to present results of a jobs classified survey from a newspaper in circulation in the city of Manaus （AM, Brazil）, between late 1990s and early 2000s. The structure and functionality of the CBO （Brazilian Occupational Classification） 2002, fundamental tool for data analysis was used, followed by collection, diagnosis and data analysis to identify the characteristics and transformations of the occupational tasks of the electronic and mechanical engineer. The analysis was based on CBO data in three distinct steps described in the methodology section, compared with a study conducted in the early 1990s, and finally, the overall prevailing trend required in professional engineering training in times of complexity and in the knowledge era was presented.

关键词： engineering education occupational profile Brazilian classification of occupations skills and abilities.

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