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Molecular-level proton acceptor boosts oxygen evolution catalysis to enable efficient industrial-scale water splitting

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Green Energy & Environment 2024年第2期9卷 344-355页

作者： Yaobin Wang Qian Lu Xinlei Ge Feng Li Le Chen Zhihui Zhang Zhengping Fu Yalin Lu Yang Song Yunfei Bu Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET) Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control(AEMPC)UNIST-NUIST Energy and Environment Jointed Lab(UNNU)School of Environmental Science and TechnologyNanjing University of Information Science and Technology(NUIST)219 NingliuNanjing210044China Laboratory of Advanced Materials Shanghai Key Laboratory of Molecular Catalysis and Innovative MaterialsFudan University220 HandanShanghai200433China Jiangsu Key Laboratory of Advanced Materials and Technology School of Petrochemical EngineeringChangzhou University1 GehuChangzhou213164China Anhui Laboratory of Advanced Photon Science and Technology University of Science and Technology of China(USTC)96 JinzhaiHefeiAnhui 230026China School of Chemistry and Chemical Engineering Nanjing University of Science and Technology200 Xiaolingwei210094China

Industrial water splitting has long been suppressed by the sluggish kinetics of the oxygen evolution reaction(OER),which requires a catalyst to be ***,we propose a molecular-level proton acceptor strategy to produce an efficient OER catalyst that can boost industrial-scale water ***-level phosphate(-PO_(4))group is introduced to modify the surface of PrBa_(0.5)Ca_(0.5)Co_(2)O_(5)+δ(PBCC).The achieved catalyst(PO_(4)-PBCC)exhibits significantly enhanced catalytic performance in alkaline *** on the X-ray absorption spectroscopy results and density functional theory(DFT)calculations,the PO_(4)on the surface,which is regarded as the Lewis base,is the key factor to overcome the kinetic limitation of the proton transfer process during the *** use of the catalyst in a membrane electrode assembly(MEA)is further evaluated for industrial-scale water splitting,and it only needs a low voltage of 1.66 V to achieve a large current density of 1 A cm^(-2).This work provides a new molecular-level strategy to develop highly efficient OER electrocatalysts for industrial applications.

关键词： Oxygen evolution reaction Nanofiber Water splitting Proton acceptor Perovskite

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SVM-based Fault Detection Method for Air Conditioners in EMU Train 7

SVM-based Fault Detection Method for Air Conditioners in EMU...

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7th International Conference on Data Science and Information technology, DSIT 2024

作者： Wei, Rongjiao Pan, Chao Wei, Pu An, Yangyang Zhu, Hao Wang, Mulan Nanjing Institute of Technology School of Communications and Information Engineering Nanjing China China Railway Shanghai Group Co. Ltd. Nanjing EMU Depot Nanjing China Nanjing Institute of Technology Jiangsu Key Laboratory of Advanced Numerical Control Technology Nanjing China

ISBN: (纸本)9798350384093

In this paper, we introduce and experimentally demonstrate a fault detection method for the air conditioner in the EMU train, which usually generates abnormal sounds when the faults occur. The technique utilizes the Support Vector Machine (SVM) to recognize the time-frequency characteristics of the sound generated by the air conditioner, which is extracted using the short-time Fourier transform (STFT). In addition, a detection system is built for the experiment, in which an FPGA and an embedded system are employed for sound acquisition and acoustic signal process, respectively. The penalty factor of the SVM model is optimized and accuracy of 0.977 is achieved. Our method will improve the efficiency and accuracy of fault detection for the air conditioner in the EMU train. © 2024 IEEE.

关键词： Support vector machines

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NURBS Modeling and Curve Interpolation Optimization of 3D Graphics

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Computers, Materials & Continua 2021年第2期66卷 1799-1811页

作者： Hao Zhu Mulan Wang Kun Liu Weiye Xu School of Information and Communication Engineering Nanjing Institute of TechnologyNanjing211167China Jiangsu Key Laboratory of Advanced Numerical Control Technology Nanjing Institute of TechnologyNanjing211167China Department of informatics University of LeicesterLeicesterLE17RHUK

In order to solve the problem of complicated Non-Uniform Rational B-Splines(NURBS)modeling and improve the real-time performance of the high-order derivative of the curve interpolation process,the method of NURBS modeling based on the slicing and layering of triangular mesh is *** research and design of NURBS curve interpolation are carried out from the two aspects of software algorithm and hardware *** on the analysis of the characteristics of traditional computing methods with Taylor series expansion,the Adams formula and the Runge-Kutta formula are used in the NURBS curve interpolation process,and the process is then optimized according to the characteristics of NURBS *** can ensure accuracy,and avoid the calculation of higher-order ***,the hardware modules for the Adams and Runge-Kutta formulas are designed by using the parallel hardware construction technology of Field Programmable Gate Array(FPGA)*** parallel computing process using FPGA is compared with the traditional serial computing process using *** and experimental results show that this scheme can improve the computational speed of the system and that the algorithm is feasible.

关键词： NURBS modeling interpolation Adams Runge-Kutta FPGA

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SVM-based Fault Detection Method for Air Conditioners in EMU Train

SVM-based Fault Detection Method for Air Conditioners in EMU...

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Data Science and Information technology (DSIT), International Conference on

作者： Rongjiao Wei Chao Pan Pu Wei Yangyang An Hao Zhu Mulan Wang School of Communications and Information Engineering Nanjing Institute of Technology Nanjing China Nanjing EMU Depot China Railway Shanghai Group Co. Ltd. Nanjing China Jiangsu Key Laboratory of Advanced Numerical Control Technology Nanjing Institute of Technology Nanjing China

ISBN: (数字)9798350384093

ISBN: (纸本)9798350384109

关键词： Support vector machines Performance evaluation Time-frequency analysis Accuracy Fourier transforms Fault detection Prediction methods Vectors Information technology Field programmable gate arrays

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Design and Application of CMAC Neural Network Based on Software Hardening technology 2nd

Design and Application of CMAC Neural Network Based on Softw...

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2nd International Conference on Big Data and Security, ICBDS 2020

作者： Zhu, Hao Wang, Mulan Xu, Weiye School of Information and Communication Nanjing Institute of Technology Nanjing211167 China Jiangsu Key Laboratory of Advanced Numerical Control Technology Nanjing211167 China Department of Informatics University of Leicester LeicesterL1 7RH United Kingdom

ISBN: (纸本)9789811631498

The thought of designing CMAC (Cerebellar Model Articulation controller) hardware control chip which bases on software hardening technology is put forward according to the working theories and inner structure characteristics of CMAC neural network. The method of software hardening based on FPGA (Field Programmable Gate Array) is discussed in detail. The corresponding simulation waveforms are given. The CMAC compound control strategy used in PMSLM (Permanent Magnet Synchronous Linear Motor) is designed. As the test object, IC22-050A2P1 PMLSM made by Kollmorgen is used in the actual application of hardening CMAC control chip to verify the correctness of the program. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Application programs

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Predictive Functional control for Linear Motor Speed System Based on Repetitive Sliding Mode Observer

Predictive Functional Control for Linear Motor Speed System ...

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第40届中国控制会议

作者： Lei Zhou Jian Lin Junzhe Sun Huimin Fu Qi Wan School of Automation Nanjing Institute of Technology Jiangsu Key Laboratory of Advanced Numerical Control Technology

A compound control method based on predictive functional control and repetitive sliding mode observer is proposed for the linear motor servo system,which has the characteristics of nonlinear,repetitive motion and model ***,the mathematical model of the linear motor system is ***,the repetitive sliding mode observer is used to compensate for the external disturbances,and the disturbance information is fed back to the predictive functional controller,and a predictive model with disturbances is established,so as to optimize the control method and improve the control effect of the servo *** simulation results show that the controller based on the repetitive sliding mode observer and predictive functional controller can effectively suppress the disturbances and improve the rapid response and steady-state accuracy of the *** the controller shows strong robustness and anti-disturbance,it can be used to effectively control the servo system.

关键词： Linear motor repetitive sliding mode observer(R-SMO) predictive functional control(PFC)

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Research on interpolation of NURBS curve based on fractional power 3

Research on interpolation of NURBS curve based on fractional...

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3rd International Conference on Mechanical, Electric and Industrial Engineering, MEIE 2020

作者： Zhu, Hao Wang, Mulan Wang, Baosheng School of Communication Nanjing Institute of Technology Nanjing211167 China Jiangsu Key Laboratory of Advanced Numerical Control Technology Nanjing211167 China

According to the problem of discontinuous of jerk and low rate of federate change in S-shape federate control method, a jerk-limited federate control scheme which reduces the shock to machine tool in interpolating is presented. The constraints are analyzed from the angle of bow height error and acceleration. The simulation result shows that this method can improve the feed speed faster, realize the smooth transition of acceleration, and reduce NURBS Flexible impact on machine tool during curve interpolation. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Machine tools

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Binocular vision detection and 3d construction based on encoded light 6th

Binocular vision detection and 3d construction based on enco...

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6th International Conference on Artificial Intelligence and Security,ICAIS 2020

作者： Zhu, Hao Wang, Mulan Xu, Kaiyun School of Communication Nanjing Institute of Technology Nanjing211167 China Jiangsu Key Laboratory of Advanced Numerical Control Technology Nanjing211167 China

ISBN: (纸本)9789811581007

A non-contact 3D data acquisition system based on fringe encoded light is analyzed. In this paper, the characteristics of encoding light structure based on space-time domain are studied, and the encoding combination with fringe boundary features is designed. This paper discusses the hierarchical reconstruction technology based on the three levels of projective radiation metric, which is better adapted to the measurement environment of inaccurate or uncalibrated camera parameters calibration, and more convenient to introduce the optimization algorithm. On the other hand, the affine coordinate system and the projective coordinate system are more widely used than the Euclidean coordinate system. The active binocular measurement system is constructed to collect the spatial information of 3D objects and store it in the form of point cloud. © Springer Nature Singapore Pte Ltd 2020.

关键词： Binocular vision

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Image processing method of 3d scattered point cloud 6th

Image processing method of 3d scattered point cloud

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6th International Conference on Artificial Intelligence and Security,ICAIS 2020

作者： Zhu, Hao Wang, Baosheng Xu, Kaiyun School of Communication Nanjing Institute of Technology Nanjing211167 China Jiangsu Key Laboratory of Advanced Numerical Control Technology Nanjing211167 China

ISBN: (纸本)9789811581007

For 3D scattered point cloud, before surface reconstruction, preprocessing such as quantity reduction and surface denoising is needed. In this paper, a fast point cloud reduction algorithm based on farthest point sampling is proposed. The fast marching algorithm is used to expand the sampling area, and the farthest sampling condition is used to select the qualified sampling points. According to the characteristics of point cloud noise, a compound kMS point cloud denoising algorithm is designed based on k-d tree model and mean drift technology. Realize the fast and efficient denoising of point cloud data. The simulation results show that the algorithm proposed in this paper can effectively realize the function of point cloud reduction and denoising. © Springer Nature Singapore Pte Ltd 2020.

关键词： Trees (mathematics)

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Self-Supervised Plant Phenotyping by Combining Domain Adaptation with 3D Plant Model Simulations: Application to Wheat Leaf Counting at Seedling Stage

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Plant Phenomics 2023年第2期5卷 226-238页

作者： Yinglun Li Xiaohai Zhan Shouyang Liu Hao Lu Ruibo Jiang Wei Guo Scott Chapman Yufeng Ge Benoit de Solan Yanfeng Ding Frédéric Baret Plant Phenomics Research Centre Academy for Advanced Interdisciplinary StudiesJiangsu Collaborative Innovation Center for Modern Crop ProductionNanjing Agricultural UniversityNanjingChina Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhanChina Graduate School of Agricultural and Life Sciences The University of Tokyo1-1-1 Midori-choNishitokyo CityTokyoJapan School of Agriculture and Food Sciences The University of QueenslandSt.LuciaQueensland 4072Australia Department of Biological Systems Engineering University of Nebraska-LincolnLincolnNebraska 68583United States INRAE Avignon UniversitéUMR EMMAHUMT CAPTE228route de l’aérodrome-CS 4050984914 Avignon Cedex 9France ARVALIS Institut du Végétal 3 Rue Joseph et Marie Hackin75116 ParisFrance

The number of leaves at a given time is important to characterize plant growth and *** this work,we developed a high-throughput method to count the number of leaves by detecting leaf tips in RGB *** digital plant phenotyping platform was used to simulate a large and diverse dataset of RGB images and corresponding leaf tip labels of wheat plants at seedling stages(150,000 images with over 2 million labels).The realism of the images was then improved using domain adaptation methods before training deep learning *** results demonstrate the efficiency of the proposed method evaluated on a diverse test dataset,collecting measurements from 5 countries obtained under different environments,growth stages,and lighting conditions with different cameras(450 images with over 2,162 labels).Among the 6 combinations of deep learning models and domain adaptation techniques,the Faster-RCNN model with cycle-consistent generative adversarial network adaptation technique provided the best performance(R^(2)=0.94,root mean square error=8.7).Complementary studies show that it is essential to simulate images with sufficient realism(background,leaf texture,and lighting conditions)before applying domain adaptation ***,the spatial resolution should be better than 0.6 mm per pixel to identify leaf *** method is claimed to be self-supervised since no manual labeling is required for model *** self-supervised phenotyping approach developed here offers great potential for addressing a wide range of plant phenotyping *** trained networks are available at https://***/YinglunLi/Wheat-leaf-tip-detection.

关键词： Wheat seedling Plant

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