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Roadmap for Sustainable Mixed Ionic-Electronic Conducting Membranes

Advanced Functional Materials 2022年第6期32卷 2105702-2105702页

作者： Chen, Guoxing Feldhoff, Armin Weidenkaff, Anke Li, Claudia Liu, Shaomin Zhu, Xuefeng Sunarso, Jaka Huang, Kevin Wu, Xiao-Yu Ghoniem, Ahmed F. Yang, Weishen Xue, Jian Wang, Haihui Shao, Zongping Duffy, Jack H. Brinkman, Kyle S. Tan, Xiaoyao Zhang, Yan Jiang, Heqing Costa, Rémi Friedrich, Kaspar Andreas Kriegel, Ralf Fraunhofer Research Institution for Materials Recycling and Resource Strategies IWKS Brentanostraße 2a Alzenau63755 Germany Institute of Physical Chemistry and Electrochemistry Leibniz University Hannover Callinstr. 3A Hannover30167 Germany Department of Materials and Earth Sciences Technical University Darmstadt Alarich-Weiss-Str. 2 Darmstadt64287 Germany Research Centre for Sustainable Technologies Faculty of Engineering Computing and Science Swinburne University of Technology Jalan Simpang Tiga Sarawak Kuching93350 Malaysia State Key Laboratory of Organic-Inorganic Composites College of Chemical Engineering Beijing University of Chemical Technology Beijing100029 China State Key Laboratory of Catalysis Dalian Institute of Chemical Physics Chinese Academy of Sciences 457 Zhongshan Road Dalian116023 China University of Chinese Academy of Sciences Beijing100049 China Department of Mechanical Engineering University of South Carolina ColumbiaSC29208 United States Department of Mechanical and Mechatronics Engineering University of Waterloo 200 University Ave W WaterlooONN2L 3G1 Canada Department of Mechanical Engineering Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States School of Chemistry and Chemical Engineering Guangdong Provincial Key Lab of Green Chemical Product Technology South China University of Technology Guangzhou510640 China Department of Chemical Engineering Beijing Key Laboratory of Membrane Materials and Engineering Tsinghua University Beijing100084 China Western Australia School of Mines: Minerals Energy and Chemical Engineering Curtin University PerthWA6102 Australia College of Chemical Engineering Nanjing Tech University Nanjing210009 China Department of Materials Science and Engineering Clemson University ClemsonSC29634 United States State Key Laboratory of Separation Membranes and Membrane Processes Department of Chemical Engineering Tianjin Polytechnic University Tianjin300

Mixed ionic-electronic conducting (MIEC) membranes have gained growing interest recently for various promising environmental and energy applications, such as H2 and O2 production, CO2 reduction, O2 and H2 separation, CO2 separation, membrane reactors for production of chemicals, cathode development for solid oxide fuel cells, solar-driven evaporation and energy-saving regeneration as well as electrolyzer cells for power-to-X technologies. The purpose of this roadmap, written by international specialists in their fields, is to present a snapshot of the state-of-the-art, and provide opinions on the future challenges and opportunities in this complex multidisciplinary research field. As the fundamentals of using MIEC membranes for various applications become increasingly challenging tasks, particularly in view of the growing interdisciplinary nature of this field, a better understanding of the underlying physical and chemical processes is also crucial to enable the career advancement of the next generation of researchers. As an integrated and combined article, it is hoped that this roadmap, covering all these aspects, will be informative to support further progress in academics as well as in the industry-oriented research toward commercialization of MIEC membranes for different applications. © 2021 The Authors. Advanced Functional Materials published by Wiley-VCH GmbH

关键词： Carbon dioxide

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Applications of Game Theory in Vehicular Networks: A Survey

arXiv

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arXiv 2021年

作者： Sun, Zemin Liu, Yanheng Wang, Jian Li, Guofa Anil, Carie Li, Keqiang Guo, Xinyu Sun, Geng Tian, Daxin Cao, Dongpu College of Computer Science and Technology Jilin University Changchun130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China Institute of Human Factors and Ergonomics College of Mechatronics and Control Engineering Shenzhen University Guangdong Shenzhen518060 China School of Computer Science and Engineering VIT-AP Andhra Pradesh Amaravati522237 India College of Engineering Nanjing Agricultural University Nanjing210031 China State Key Laboratory of Automotive Safety and Energy Department of Automotive Engineering Tsinghua University Beijing100084 China Beijing Advanced Innovation Center for Big Data and Brain Computing Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control School of Transportation Science and Engineering Beihang University Beijing100191 China Waterloo Cognitive Autonomous Driving Lab University of Waterloo N2L 3G1 Canada

In the Internet of things (IoT) era, vehicles and other intelligent components in an intelligent transportation system (ITS) are connected, forming vehicular networks (VNs) that provide efficient and safe traffic and ubiquitous access to various applications. However, as the number of nodes in an ITS increases, it is challenging to satisfy a varied and large number of service requests with different quality of service (QoS) and security requirements in highly dynamic VNs. Intelligent nodes in VNs can compete or cooperate for limited network resources to achieve the objective for either an individual or a group. Game theory (GT), a theoretical framework designed for strategic interactions among rational decision makers sharing scarce resources, can be used to model and analyze individual or group behaviors of communicating entities in VNs. This paper primarily surveys the recent developments of GT in solving various challenges of VNs. This survey starts with an introduction to the background of VNs. A review of GT models studied in the VNs is then introduced, including the basic concepts, classifications, and applicable vehicular issues. After discussing the requirements of VNs and the motivation of using GT, a comprehensive literature review on GT applications in dealing with the challenges of current VNs is provided. Furthermore, recent contributions of GT to VNs that are integrated with diverse emerging 5G technologies are surveyed. Finally, the lessons learned are given, and several key research challenges and possible solutions of applying GT in VNs are outlined. Copyright © 2021, The Authors. All rights reserved.

关键词： Quality of service

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Defining digital quadruplets in the cyber-physical-social space for parallel driving

arXiv

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arXiv 2020年

作者： Liu, Teng Xing, Yang Chen, Long Cao, Dongpu Wang, Fei-Yue Vehicle Intelligence Pioneers Inc Shandong Qingdao266109 China Qingdao Academy of Intelligent Industries QingdaoShandong266109 China Department of Mechanical and Mechatronics Engineering University of Waterloo N2L 3G1 Canada State Key Laboratory of Management and Control for Complex System Institute of Automation Beijing China

Parallel driving is a novel framework to synthesize the vehicle intelligence and transport automation. This article aims to define the digital quadruplets in parallel driving. In the cyber-physical-social systems (CPSS), based on the ACP method, the names of the digital quadruplets are first given, which are descriptive, predictive, prescriptive and real vehicles. The objectives of the three virtual digital vehicles are interacting, guiding, simulating and improving with the real vehicles. Then, the three virtual components of the digital quadruplets are introduced in detail and their applications are also illustrated. Finally, the real vehicles in parallel driving system and the research process of the digital quadruplets are depicted. The presented digital quadruplets in parallel driving are expected to make the future connected automated driving safety, efficiently and synergistically. Copyright © 2020, The Authors. All rights reserved.

关键词： Vehicles

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Cell Viability And Electrical Response of Breast Cancer Cell Treated In Aquoes Graphene Oxide Solution Deposition On Interdigitated Electrode

Research Square

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Research Square 2021年

作者： Ramli, Muhammad M. Rosman, Anis S. Mazlan, Nur S. Ahmad, Mohd F. Halin, Dewi Suriyani Che Mohamed, Rafeezul Osman, Nurul H. Reshak, Ali H. Perlis Malaysia Perlis Malaysia Advance Medical and Dental Institute Universiti Sains Malaysia Bertam Jln Tun Hamdan Sheikh Tahir Kepala Batas Pulau Pinang13200 Malaysia Applied Electromagnetic Lab 1 Department of Physics Faculty of Science Universiti Putra Malaysia Serdang Selangor43400 Malaysia Physics Department College of Science University of Basrah Basrah Iraq Department of Instrumentation and Control Engineering Faculty of Mechanical Engineering CTU in Prague Technicka 4 Prague166 07 Czech Republic

Breast cancer is one of the most reported cancers that can lead to death. Despite the advances in diagnosis and treatment procedures, the possibility of cancer recurrences is still high in many cases. With that in consideration, researchers from all over the world are showing interest in the unique features of Graphene oxide (GO), such as its excellent and versatile physicochemical properties, to explore further its potential and benefits towards breast cancer cell treatment. In this study, the cell viability and electrical response of GO, in terms of resistivity and impedance towards the breast cancer cells (MCF7) and normal breast cells (MCF10a), were investigated by varying the pH and concentration of GO. Firstly, the numbers of MCF7 and MCF10a were measured after being treated with GO for 24 and 48 hours. Next, the electrical responses of these cells were evaluated by using interdigitated electrodes (IDEs) gold electrodes that are connected to an E4980 20 Hz – 2 MHz Precision LCR meter. Based on the results obtained, as the pH of GO increased from pH 5 to pH 7, the number of viable MCF7 cells decreased while the number of viable MCF10a slightly increased after the incubation period of 48 hours. Similarly, the MCF7 also experienced higher cytotoxicity effects when treated with a GO concentration of more than 25 µg/mL. The findings from the electrical characterization of the cells observed that the number of viable cells has corresponded to the impedance of the cells. The electrical impedance of MCF7 decreased as the number of highly insulating viable cells membrane decreased, but in contrast, the electrical impedance of MCF10a increased as the number of highly insulating viable cells membrane increased. Hence, it can be deduced that the GO with higher pH and concentration impacts the MCF7 cancer cell line and MCF10a normal breast cell. © 2021, CC BY.

关键词： Graphene

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Decision-Making in Driver-Automation Shared control: A Review and Perspectives

arXiv

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arXiv 2020年

作者： Wang, Wenshuo Na, Xiaoxiang Cao, Dongpu Gong, Jianwei Xi, Junqiang Xing, Yang Wang, Fei-Yue CA94720 United States Department of Engineering University of Cambridge Trumpington Street CambridgeCB2 1PZ United Kingdom Mechanical and Mechatronics Engineering University of Waterloo 200 University Ave. West Waterloo ONN2L3G1 Canada Department of Mechanical Engineering Beijing Institute of Technology Beijing100081 China School of Mechanical and Aerospace Engineering Nanyang Technological University Singapore639798 Singapore State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Research Center for Military Computational Experiments and Parallel Systems Technology National University of Defense Technology Changsha410073 China

Shared control schemes allow a human driver to work with an automated driving agent in driver-vehicle systems while retaining the driver’s abilities to control. The human driver, as an essential agent in the driver-vehicle shared control systems, should be precisely modeled regarding their cognitive processes, control strategies, and decision-making processes. The interactive strategy design between drivers and automated driving agents brings an excellent challenge for human-centric driver assistance systems due to the inherent characteristics of humans. Many open-ended questions arise, such as what proper role of human drivers should act in a shared control scheme? How to make an intelligent decision capable of balancing the benefits of agents in shared control systems? Due to the advent of these attentions and questions, it is desirable to present a survey on the decision-making between human drivers and highly automated vehicles, to understand their architectures, human driver modeling, and interaction strategies under the driver-vehicle shared schemes. Finally, we give a further discussion on the key future challenges and opportunities. They are likely to shape new potential research directions. Copyright © 2020, The Authors. All rights reserved.

关键词： Decision making

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Effect of turbulent inflow on the leading-edge protuberanced (LEP) wing: A time-series approach

引用

AIP Conference Proceedings 2022年第1期2520卷

作者： S. Arunvinthan N. I. Haroon Rashid S. Nadaraja Pillai 1Department of Aeronautical Engineering Kalasalingam Academy of Research and Education (KARE) Srivilliputhur Tamil Nadu India-626126. 2Mohamed Sathak Engineering College Kilakarai India. -623517. 3Turbulence & Flow Control Lab School of Mechanical Engineering SASTRA Deemed to be University Thanjavur Tamil Nadu India -613401.

Aerodynamic characteristics of the LEP wing encountering turbulence intensities (TI) were experimentally evaluated in this paper. NACA 63(4)-021 aerofoil profile featuring LEP with an amplitude of 0.12C and wavelength 0.5C were 3D printed with 54 surface pressure tapings. All the wind tunnel tests were performed over α ranging between 0o ≤ α ≤ 45o at TI=1%, 2.5% and 5% respectively. The effect of TI on the aerodynamic force coefficients (CL; CD) were then obtained from the surface pressure measurements made over the test model using simultaneous pressure scanner corresponding to a sampling frequency of 700Hz and 10,000 data samples. The aerodynamic forces were then obtained from the surface pressure measurements using pressure integration technique. Results reveal that the time-averaged mean (CL) of the LEP wing increases with increment in TI except at TI=5%. It is identified that higher magnitudes of turbulence is detrimental as it disturbs the complicated flow pattern prevailing over the LEP wing. Additionally, attempts were made to quantify the aerodynamic drag forces and aerodynamic efficienct of the LEP models when subjected to various turbulence intensities.

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Towards Rehabilitation of Mughal Era Historical Places using 7 DOF Robotic Manipulator

Towards Rehabilitation of Mughal Era Historical Places using...

引用

International Conference on Robotics and Artificial Intelligence (ICRAI)

作者： Muhammad Bilal Ali Raza Mohsin Rizwan Muhammad Ahsan Hafiz Farhan Maqbool Syed Abbas Zilqurnain Naqvi Al-Khawarizmi Institute of Computer Science UET1 Lahore HCR2 Lab National Center of Robotics and Automation Lahore Pakistan Dept. of Mechatronics & Control Engineering National Center of Robotics and Automation Lahore Pakistan Dept. of Mechatronics & Control Engineering UET Lahore Lahore Pakistan

The central aim of this research is to propose a solution to rehabilitate historic places using a robotic manipulator. In this pursuit, the objective is to clean flat or curved surfaces of mihrab/muqarnas and to write lost Arabic inscriptions on spandrel using 7 Degree of freedom (DOF) robotic manipulator. Inverse kinematics solution for 7 DOF is derived by fixing redundant joint and solving the remaining 6 DOF inverse kinematics. Image processing techniques are used to get data from the given image for the robotic calligraphy operation on the spandrel to restore the lost inscriptions. Path planning exercise is implemented to navigate the end-effector on the desired path to write lost inscriptions and to clean curved surfaces of muqarnas. Proposed solutions are verified by simulation using MATlab. The results showed that the manipulator successfully tracked the given path to perform the desired operation in mihrab as well as calligraphy operation on spandrel.

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Sliding Mode Differentiator Based Tracking control of Uncertain Nonlinear Systems with Application to Hypersonic Flight

Sliding Mode Differentiator Based Tracking Control of Uncert...

引用

作者： An, Hao Fidan, Baris Wu, Qianqian Wang, Changhong Cao, Xibin Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin150001 China Department of Mechanical and Mechatronics Engineering University of Waterloo Waterloo ONN2L 3G1 Canada Center for Composite Materials and Structures Harbin Institute of Technology Harbin150001 China Research Center of Satellite Technology Harbin Institute of Technology Harbin150001 China

This paper presents a performance-guaranteed adaptive back-stepping design for a class of nonlinear systems with uncertainties and disturbances. To circumvent the increasing complexity caused by the repeated analytic differentiations in back-stepping, sliding mode differentiation technique is employed to estimate the derivative of the virtual control. Compared with the well-known command filtered back-stepping, no compensating signal is required. Besides, time-varying parameters, system uncertainties and external disturbances are compensated using nonlinear damping technique, while the output tracking error is regulated in the prescribed range with the adjustable convergence speed and steady-state error. As a verification example, this method is applied to the longitudinal control of an air-breathing hypersonic vehicle configured with the variable geometry inlet. © 2018 Chinese Automatic control Society and John Wiley & Sons Australia, Ltd

关键词： Hypersonic vehicles

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Boron and nitrogen Co-doped holey graphene aerogels with rich B–N motifs for flexible supercapacitors

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Carbon 2020年 159卷 94-101页

作者： Xiaoxiao Zou Dapeng Wu Yifang Mu Luyang Xing Wenchao Zhang Zhiyong Gao Fang Xu Kai Jiang Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control Ministry of Education Henan Key Laboratory for Environmental Pollution Control School of Environment Henan Normal University Xinxiang Henan 453007 PR China Collaborative Innovation Center of Henan Province for Green Manufacturing of Fine Chemicals Key Laboratory of Green Chemical Media and Reactions Ministry of Education School of Chemistry and Chemical Engineering Henan Normal University Xinxiang Henan 453007 PR China Institute for Superconducting & Electronic Materials School of Mechanical Materials Mechatronics & Biomedical Engineering Faculty of Engineering and Information Sciences University of Wollongong NSW 2500 Australia Henan Key Lab Boron Chemistry & Advanced Energy Mat Xinxiang 453007 Henan PR China

Boron and Nitrogen co-doped holey graphene aerogels (BN-HGA) are fabricated using ammonia borane as triple-functional precursor. The as-prepared BN-HGA possesses high specific surface area (249 m 2 g −1 ) and rich B–N motifs with high surface polarity, which contributes to the rich and stable redox sites for the enhanced pseudo-capacitance. Moreover, the high hydrogen content in the ammonia borane cultures a reducing environment to preserve the integrity of carbon matrix, which gives rise to the high electronic conductivity. In addition, the well-developed hierarchically porous structure facilitates the ion diffusion in the electrode. Thanks to these structural merits, the BN-HGA electrode furnishes good specific capacitance of 456 F g −1 at 1 A g −1 in three-electrode systems using sulfuric acid as electrolyte. Meanwhile, the all-solid-state flexible supercapacitors based on the symmetric BN-HGA electrodes demonstrate high specific capacitance (345 mF cm −2 at 1 mA cm −2 ) and outstanding rate performance (80% retention at 20 mA cm −2 ). Furthermore, the flexible supercapacitor exhibits pleasant flexibility with marginable capacity loss as bent to arbitrary angles, which endows it a promising device for wearable energy storage.

关键词： Holey graphene Aerogels Doping Supercapacitors Flexible device

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Dynamic States Prediction in Autonomous Vehicles: Comparison of Three Different Methods

Dynamic States Prediction in Autonomous Vehicles: Comparison...

引用

International Conference on Intelligent Transportation

作者： Teng Liu Bin Tian Yunfeng Ai Long Chen Fei Liu Dongpu Cao Ning Bian Fei-Yue Wang Mechanical and Mechatronics Engineering Department University of Waterloo Canada Vehicle Intelligence Pioneers Inc. Qingdao China Xilinx Technology Beijing Limited Beijing China Department of Mechanical and Mechatronics Engineering University of Waterloo Ontario Canada dongfeng motor corporation Wuhan China State Key Lab. of Manage. and Control for Complex Syst. Inst. of Autom. Beijing China

ISBN: (纸本)9781538670255

As a combination of various kinds of technologies, autonomous vehicles could complete a series of driving tasks by itself, such as perception, decision-making, planning and control. Since there is no human driver to handle the emergency situation, future transportation information is significant for automated vehicles. This paper proposes different methods to forecast the time series for autonomous vehicles, which are the nearest neighborhood (NN), fuzzy coding (FC) and long short term memory (LSTM). First, the formulation and operational process for these three approaches are introduced. Then, the vehicle velocity is regarded as a case study and the real-world dataset is utilized to predict future information via these techniques. Finally, the performance, merits and drawbacks of the presented methods are analyzed and discussed.

关键词： Artificial neural networks Autonomous vehicles Time series analysis Predictive models Trajectory Recurrent neural networks Neurons

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