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Walnut septum-derived hierarchical porous carbon for ultra-high-performance supercapacitors

Rare Metals 2022年第7期41卷 2280-2291页

作者： Meng Zhou Sheng-Xue Yan Qing Wang Ming-Xiu Tan Deng-Yang Wang Zi-Qi Yu Shao-Hua Luo Ya-Hui Zhang Xin Liu School of Materials Science and Engineering Northeastern UniversityShenyang 110819China State Key Laboratory of Rolling and Automation Northeastern UniversityShenyang 110819China School of Resources and Materials Northeastern University at QinhuangdaoQinhuangdao 066004China Hebei Key Laboratory of Dielectric and Electrolyte Functional Material Qinhuangdao 066004China Qinhuangdao Key Laboratory of Advanced Energy Storage and Conversion Technology Qinhuangdao 066004China

The conversion of biomass waste into eco-nomical and high-performance energy storage devices receives significant ***,a facile and green method to prepare porous active carbon from walnut sep-tum is applied to the electrode materials of *** effect of chemical etching reagent(KOH)on the microstructure and specific capacitance of the porous car-bon are *** modified BC-2.0,with a KOH/walnut septum mass ratio of 2∶1,exhibits large specific surface area of 1003.9 m^(2)·g^(-1)with hierarchical micro-mesoporous ***-2.0 reveals a superior specific capacitance of 457 F·g^(-1)at 1 A·g^(-1).The flexible sym-metric supercapacitor in gel electrolyte(KOH/PVA)exhi-bits considerable synergetic energy-power output *** results indicate that walnut septum is a better precursor to obtain activated carbons relative to other biomass carbon *** large mesoporosity after activation effectively boosts the electrochemical properties of ***,the walnut septum has potential to be a superior electrode material for supercapacitors.

关键词： Activation Biocarbon Micro-mesoporous structure Supercapacitor High specific capacitance

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A Domain-Knowledge and Data Corporately Driven Based Dynamic Cache Prefetching Method for High Frequency Behavior Prediction 6

A Domain-Knowledge and Data Corporately Driven Based Dynamic...

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6th International Conference on Frontier Technologies of Information and Computer, ICFTIC 2024

作者： Meng, Fan Chen, Bing Zhang, Xiu Zhu, Shaohong Nanjing University State Key Lab for Novel Software Technology Nanjing China Nanjing Betterway Information Technology Limited Company Research and Development Department Nanjing China Wuhan Zhongtian Railway Rolling Stock Limited Company Research and Development Department Wuhan China

ISBN: (纸本)9798331541750

Cache prefetching methods have been extensively studied and applied due to their effectiveness in enhancing the computational efficiency of software systems. However, traditional cache prefetching approaches are limited in performance because they fail to leverage domain-specific knowledge. To address this issue, this paper proposes a domain-knowledge and data corporately driven dynamic cache prefetching method. The proposed method first utilizes an autoencoder to autonomously learn implicit features from historical sales data, thereby obtaining their high-dimensional representations. Subsequently, a domain knowledge graph is constructed to integrate various sales behaviors with the aforementioned representations, enabling the learning of a behavioral influence model. Finally, the influence of each sales behavior is jointly learned with the sales representations to train a behavior classifier, which predicts the characteristics of each sales behavior and generates or updates the cache accordingly. Furthermore, we instantiate this method to a real-time scenario in the domain of civil aviation e-commerce ticketing and design the core data structures and functions of this prototype. © 2024 IEEE.

关键词： Sales

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An attention-based prototypical network for forest fire smoke few-shot detection

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Journal of Forestry Research 2022年第5期33卷 1493-1504页

作者： Tingting Li Haowei Zhu Chunhe Hu Junguo Zhang School of Technology Beijing Forestry UniversityBeijing 100083People’s Republic of China Key Lab of State Forestry and Grassland Administration for Forestry Equipment and Automation Beijing 100083People’s Republic of China

Existing almost deep learning methods rely on a large amount of annotated data, so they are inappropriate for forest fire smoke detection with limited data. In this paper, a novel hybrid attention-based few-shot learning method, named Attention-Based Prototypical Network, is proposed for forest fire smoke detection. Specifically, feature extraction network, which consists of convolutional block attention module, could extract high-level and discriminative features and further decrease the false alarm rate resulting from suspected smoke areas. Moreover, we design a metalearning module to alleviate the overfitting issue caused by limited smoke images, and the meta-learning network enables achieving effective detection via comparing the distance between the class prototype of support images and the features of query images. A series of experiments on forest fire smoke datasets and miniImageNet dataset testify that the proposed method is superior to state-of-the-art few-shot learning approaches.

关键词： Forest fire smoke detection Few-shot learning Channel attention module Spatial attention module Prototypical network

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Effect of Pre-Deformation on the High-Temperature Oxidation Behavior of Stainless Steel

SSRN

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SSRN 2023年

作者： Cao, Guangming Li, Silin Li, Ruixiang Zhao, Wencong Wang, Hao Liu, Zhenyu State Key Laboratory of Rolling Technology and Automation Northeastern University Liaoning Province Shenyang110819 China

The effect of pre-deformation treatment on the high-temperature oxidation behavior of 436 stainless steel under air conditions at different temperatures was investigated. The oxidation mechanisms of pre-deformed and undeformed samples were clarified from the point of view of recrystallization by means of oxidation kinetic curves, surface and section photographs, Energy Dispersive Spectroscopy (EDS), Electron Probe Microanalyzer (EPMA), X-Ray Diffraction (XRD), scanning electron microscope (SEM), line scan, and other forms of characterization methods. The results show that the pre-deformed sample has a smaller grain size after oxidation compared with the undeformed sample after oxidation, which reduces the critical content for the generation of protective Cr oxides and provides more diffusion channels for Cr elements, resulting in the generation of more Cr oxides. the Cr oxides have high densities, which inhibit the outward diffusion of Fe and Mn elements and reduce the generation of Fe and Mn oxides, thus delaying the appearance of breakaway oxidation, which in turn improves its oxidation resistance. © 2023, The Authors. All rights reserved.

关键词： Thermooxidation

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A new noise network and gradient parallelisation‐based asynchronous advantage actor‐critic algorithm

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IET Cyber-Systems and Robotics 2022年第3期4卷 175-188页

作者： Zhengshun Fei Yanping Wang Jinglong Wang Kangling Liu Bingqiang Huang Ping Tan Provincial Key Institute of Robotics School of Automation and Electrical EngineeringZhejiang University of Science and TechnologyHangzhouChina State Key Lab of Industrial Control Technology College of Control Science and EngineeringZhejiang UniversityHangzhouChina

Asynchronous advantage actor‐critic(A3C)algorithm is a commonly used policy opti-mization algorithm in reinforcement learning,in which asynchronous is parallel inter-active sampling and training,and advantage is a sampling multi‐step reward estimation method for computing *** order to address the problem of low efficiency and insufficient convergence caused by the traditional heuristic exploration of A3C algorithm in reinforcement learning,an improved A3C algorithm is proposed in this *** this algorithm,a noise network function,which updates the noise tensor in an explicit way is constructed to train the *** advantage estimation(GAE)is also adopted to describe the dominance ***,a new mean gradient parallelisation method is designed to update the parameters in both the primary and secondary networks by summing and averaging the gradients passed from all the sub‐processes to the main *** experiments were conducted in a gym environment using the PyTorch Agent Net(PTAN)advanced reinforcement learning library,and the results show that the method enables the agent to complete the learning training faster and its convergence during the training process is *** improved A3C algorithm has a better performance than the original algorithm,which can provide new ideas for sub-sequent research on reinforcement learning algorithms.

关键词： asynchronous advantage actorcritic (A3C) generalised advantage estimation (GAE) parallelisation reinforcement learning

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Influence of Pre-quenching Treatment on Microstructure and Mechanical Properties in Quenching and Partitioning (Q&P) Steels 6

Influence of Pre-quenching Treatment on Microstructure and M...

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6th International Conference on ThermoMechanical Processing, TMP 2022

作者： Wang, Xu Xu, Yunbo Sun, Qingyang Hou, Xingxia Gu, Xingli The State Key Laboratory of Rolling and Automation Northeastern University Shenyang110819 China Technology Center of Anshan Steel Co. Ltd. Anshan114009 China

ISBN: (纸本)9787502492441

The present work aims to investigate the effect of pre-quenching treatment prior to traditional Q&P process (PQP) on microstructure and mechanical properties in a low-alloyed Q&P steel. The experimental steel with initial microstructure of ferrite-pearlite was pre-quenched to be ferrite-martensite microstructure after cold rolling. The microstructures were characterized by Field-emission scanning electron microscope (FE-SEM) equipped with an electron backscattered diffractometer (EBSD). The volume fraction of retained austenite (RA) was measured by D/max2400 X-ray diffractometer (XRD). Results indicated that pre-quenching treatment not only led to significant grain-size refinement of M/A, but also increased the volume fraction of RA. The excellent mechanical properties with high yield strength of 732 MPa, ultimate strength of 1045 MPa, total elongation of 34%, product of strength and elongation (PSE) of 35530 MPa% were obtained after PQP process. And the corresponding microstructure was composed of ferrite, bainite, RA, and fresh martensite. In comparison, the pre-quenching process enabled a significant increase of 182 MPa in yield strength and an improvement of total elongation from 24% to 34%. © TMP 2022 - Proceedings. All rights reserved.

关键词： Ferrite

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Preparation of a Pt-Ni_(2)P/NF catalyst for highly efficient hydrogen evolution using a magnetic field to promote Ni-Pt galvanic replacement

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Journal of Materials Science & technology 2023年第11期142卷 144-151页

作者： Zhong Wang Shuang Yuan Tuo Zang Tengxiao Li Yudi Zhou Jiaqi Liu Tie Liu Kai Wang Qiang Wang School of Metallurgy Northeastern UniversityShenyang 110819China Key Laboratory of Electromagnetic Processing of Materials(Ministry of Education) Northeastern UniversityShenyang 110819China Institute for Frontier Technologies of Low-Carbon Steelmaking and Liaoning Province Engineering Research Center for Technologies of Low-Carbon Steelmaking Northeastern UniversityShenyang 110819China The State Key Lab of Rolling and Automation Northeastern UniversityShenyang 110819China Key Laboratory for Ecological Metallurgy of Multimetallic Mineral(Ministry of Education)(Ministry of Education) Northeastern UniversityShenyang 110819China

The noble metal Pt is an ideal catalyst for promoting the hydrogen evolution reaction(HER)during the electrolysis of ***,Pt is also expensive and suffers from low utilization *** this work,a Pt-Ni_(2)P/NF nanorod catalyst with a low Pt loading was synthesized under different magnetic fields,and it was found that the application of a magnetic field can increase the rate of the galvanic replacement *** the magnetic field strength increases from 0 to 600 mT,the chemical reaction rate increases gradually,and the utilization rate of Pt increased by 2.3 times under 600 *** mechanism of the magnetic field-induced magnetohydrodynamic(MHD)effect on the galvanic replacement reaction was *** a 1 M KOH solution and at a current density of 10 mA cm^(-2),the overpotential of Pt-Ni_(2)P/NF prepared by applying a 600 mT magnetic field was as low as 15 mV and the Tafel slope was 37 mV dec^(-1),compared with values of 82 mV and 70 mV dec^(-1) for a specimen prepared without a magnetic ***,at an overpotential of 90 mV,the mass-based Pt activity of the former material was 12 times greater while its turnover frequency was 19 times *** work provides theoretical and technical knowledge expected to assist in the controllable preparation of materials in magnetic fields and the efficient utilization of metallic resources.

关键词： Magnetic field Regulation Galvanic replacement reaction HER

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Kinetics of Extracting Magnesium from Dolomite by Aluminothermic Process in Flowing Argon

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JOM 2023年第7期75卷 2614-2625页

作者： Guo, Junhua Li, Xin Han, Jibiao Fu, Daxue Zhang, Ting'an Long, Weimin Zhengzhou Res Inst Mech Engn Co LTD State Key Lab Adv Brazing Filler Met & Technol 149 Kexue AveHitech Ind Dev Zone Zhengzhou 450001 Peoples R China Northeastern Univ Sch Met Key Lab Ecol Met Multimet Intergrown Ores Minist E Shenyang 110819 Liaoning Peoples R China Northeastern Univ State Key Lab Rolling & Automation Wenhua Rd Shenyang 110819 Liaoning Peoples R China Kunming Inst Precious Met 988Keji RdHigh Tech Ind Dev Zone Kunming 650160 Yunnan Peoples R China

Due to its low reaction temperature, fast reaction efficiency and other advantages, the aluminothermic process is the most likely to replace the Pidgeon process, but its industrial application is limited because of its high smelting cost. To reduce the production cost and realize the continuous production of magnesium by aluminothermic process, in this work, a new method of extracting magnesium by aluminothermic process in flowing argon was proposed, and the effects of carrier gas flow, briquetting pressure, and calcium fluoride content on the reduction rate and reduction reaction kinetics were investigated. The results showed that a small amount of argon flow could make the reaction proceed quickly, too large carrier gas flow and briquetting pressure were not conducive to the reduction reaction, and the increase in calcium fluoride content could speed up the reaction. When the carrier gas flow was 0.2 m(3)center dot h(-1), the briquetting pressure was 15 MPa, and the reduction time was 2 h at 1473 K, the reduction rate of magnesium oxide reached > 89%. The phase formed in the reduction slag was mainly the 12CaO center dot 7Al(2)O(3) phase. The control step of the reduction reaction was the diffusion reaction, and its apparent activation energy was 104.42 kJ center dot mol(-1).

关键词： Calcium fluoride

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Flight Simulator Column Force Modeling by System Identification 23

Flight Simulator Column Force Modeling by System Identificat...

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15th International Conference on Computer Modeling and Simulation, ICCMS 2023

作者： Cai, Xiangqun Lei, Xiaoyong Dai, Shuling Li, Weiqi State Key Lab. of Virtual Reality Technology and Systems Beihang University China School of Automation Science and Electrical Engineering Beihang University China

ISBN: (纸本)9798400707919

In this work, a modeling method of aircraft control column force based on system identification is proposed. Using the data of "lever force displacement"and "lever release"tests, the column force model of the longitudinal channel of the control system is established, and least square method is used to identify the model parameters. The acquired model is used for the simulation of the irreversible hydraulic control system, and the simulation results are compared with test results. It is indicated that the simulation accuracy meets the requirements of CCAR 60 for the column force model of the simulator control system. The proposed model has a simple structure and high computational efficiency. The identification method is independent of the original design parameters of the control system and has good robustness. © 2023 ACM.

关键词： Flight simulators

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Linear Extended state Observer-based Sliding Mode Control of Active Magnetic Bearing Systems 41

Linear Extended State Observer-based Sliding Mode Control of...

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第41届中国控制会议

作者： Ziheng Yu Yifeng Tang Bowen Xu Xiang Huang Hai-Tao Zhang School of Artificial Intelligence and Automation the Key Laboratory of Image Processing and Intelligent Controland the State Key Lab of Digital Manufacturing Equipment and TechnologyHuazhong University of Science and Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In the last decades,as a typical nonlinear system,active magnetic bearings(AMB) system has been widely applied in manufacturing systems.A sliding mode control(SMC) scheme for the AMB system is proposed with the disturbance observation of the linear extended state observer(LESO) in this *** chattering of the AMB system has been reduced by LESO-SMC by at least 60%.Sufficient BIBO(bounded input-bounded output) stability conditions of the closed-loop AMB system governed by the proposed LESO-SMC are derived by Lyapunov ***,experiments are conducted to verify the effectiveness and superiority of the proposed LESO-SMC than conventional SMC.

关键词： Active magnetic bearing systems state observer sliding mode control chattering

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