Database application platform for earthquake numerical simulation

Introduction In recent years, all kinds of observation networks of seismology have been established, which have been continuously producing numerous digital information. In addition, there are many study results about 3D velocity structure model and tectonic model of crust （Huang and Zhao, 2006; Huang et al, 2003; Li and Mooney, 1998）, which are valuable for studying the inner structure of the earth and earthquake preparation process. It is badly needed to combine the observed data, experimental study and theoretical analyses results by the way of numerical simulation and develop a database and a corresponding application platform to be used by numerical simulation, and is also a significant way to promote earthquake prediction.

Survey of Robotics in Education, Taxonomy, Applications, and Platforms during COVID-19

The coronavirus disease 2019(COVID-19)is characterized as a disease caused by a novel coronavirus known as severe acute respiratory coronavirus syndrome 2(SARS-CoV-2;formerly known as 2019-nCoV).In December 2019,COVID-19 began to appear in a few countries.By the beginning of 2020,it had spread to most countries across the world.This is when education challenges began to arise.The COVID-19 crisis led to the closure of thousands of schools and universities all over the world.Such a situation requires reliance on e-learning and robotics education for students to continue their studies to avoid the mingling between people and students.In relation to this alternative learning solution,the present study was conducted.A systematic literature review on educational robotics(ER)keywords between 2015–2020 was carried out for the purpose to review a total of 2253 articles from the selected sources;Scopus(452),Taylor&Francis(311),Science Direct(427),IEEE Xplore(221),and Web of Science(842).This review procedure was labelled as Taxonomy 1.After ltering Taxonomy 1,it was found that 98 scientic articles formed the so-called Taxonomy II that was categorized into six categories:(i)Robotics concepts,(ii)Device,(iii)Robotic applications,(iv)Manufacturing robots,(v)Robotics analysis,and(vi)Education/taxonomy.For this study,only 35 articles in this specic eld were selected,of which were then assigned into three categories:(i)Application,(ii)Platform,and(iii)Educational.The results show that the application category carries 17.4%,platform 20%,and education 22.85%.This study serves as the application platform to help students,academics,and researchers.

Intelligent decision support platform of new energy vehicles

New energy vehicles(NEVs) are gaining wider acceptance as the transportation sector is developing more environmentally friendly and sustainable technology. To solve problems of complex application scenarios and multi-sources heterogenous data for new energy vehicles and weak platform scalability,the framework of an intelligent decision support platform is proposed in this paper. The principle of software and hardware system is introduced. Hadoop is adopted as the software system architecture of the platform. Master-standby redundancy and dual-line redundancy ensure the reliability of the hardware system. In addition, the applications on the intelligent decision support platform in usage patterns recognition, energy consumption, battery state of health and battery safety analysis are also described.

Silicon photonic platforms for mid-infrared applications [Invited]

Silicon photonic integrated circuits for telecommunication and data centers have been well studied in the past decade, and now most related efforts have been progressing toward commercialization. Scaling up the silicon-oninsulator(SOI)-based device dimensions in order to extend the operation wavelength to the short mid-infrared(MIR) range(2–4 μm) is attracting research interest, owing to the host of potential applications in lab-on-chip sensors, free space communications, and much more. Other material systems and technology platforms, including silicon-on-silicon nitride, germanium-on-silicon, germanium-on-SOI, germanium-on-silicon nitride, sapphireon-silicon, Si Ge alloy-on-silicon, and aluminum nitride-on-insulator are explored as well in order to realize low-loss waveguide devices for different MIR wavelengths. In this paper, we will comprehensively review silicon photonics for MIR applications, with regard to the state-of-the-art achievements from various device demonstrations in different material platforms by various groups. We will then introduce in detail of our institute's research and development efforts on the MIR photonic platforms as one case study. Meanwhile, we will discuss the integration schemes along with remaining challenges in devices(e.g., light source) and integration. A few application-oriented examples will be examined to illustrate the issues needing a critical solution toward the final production path(e.g., gas sensors). Finally, we will provide our assessment of the outlook of potential futureresearch topics and engineering challenges along with opportunities.

Research and Development of New Chinese Materia Medica for Treatment of Refractory Hematopathy by Establishment and Application of Multiple Technique Platforms

Research Objective and Overview It is necessary to find effective Chinese materia medica （CMM） for the treatment of refractory hematopathy as commonly used prednisone, androgen and immune suppression agents of tendemonstrate poor efficacy and serious side effects.

INNOVATIVE BIOLOGICAL AND CHEMICAL STUDIES OF HERBAL MEDICINES APPLICATION OF MASSLYNX AND UNIFI PLATFORM SOLUTION TO ACCELERATE THE IDENTIFICATION OF INGREDIENTS AND THEIR METABOLITES OF TCM

Traditional Chinese Medicine(TCM)has been used in prevention and treatment of disease in clinical practice for thousands of years,with an indispensable role of multiple ingredients.Thus,a rapid and effective chemical ingredients analysis was of necessary to be established for the evaluation of the holistic quality of TCM.As could afford the data with high resolution and high sensitivity,

Applying project‐based learning in artificial intelligence and marine discipline:An evaluation study on a robotic sailboat platform

intelligence is penetrating various fields.The demand for interdisciplinary talent is increasingly important,while interdisciplinary educational activities for high school students are lagging behind.Project‐based learning(PBL)in artificial intelligence(AI)and robotic education activities supported by a robotic sailboat platform,the sailboat test arena(STAr),has been shown to popularise AI and robotic knowledge in young students.In the implementation of the programme,PBL was provided for students,and gamification pedagogy was applied to increase participants'learning motivation and engagement.The results show that the proposed STAr‐based programme is capable of delivering the desired knowledge and skills to students at high school levels.The assessment results suggest that most students achieve learning outcomes on average.Students showed more interest in AI and marine disciplines and were willing to participate in more such educational programs.The findings fill the research gap that few existing education platforms have facilitated the teaching and learning of AI and marine disciplines for high school students.