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3rd International Symposium on Aerospace Engineering and Systems, ISAES 2024

作者： Wu, Jiangpeng Du, Huixiang Ma, Xinmeng Li, Manhong Zhao, Libin Hu, Ning Shenyang Aircraft Design and Research Institute Shenyang China School of Mechanical Engineering Hebei University of Technology Tianjin China Key Laboratory of Advanced Intelligent Protective Equipment Technology Ministry of Education Hebei University of Technology Tianjin China

ISBN: (纸本)9798350350418

Compared with traditional aircraft, the variant aircraft can change the shape of its fuselage or wing to adapt to the needs of different flight conditions. Among them, the variable swept-back wing can provide excellent aerodynamic characteristics for the morphing aircraft by adjusting the swept back angle of the wing. Aiming at the problem of the existing variable swept-back wings encroach on the belly space. Based on the principles of mechanism and bionics, this paper innovatively puts forward a design scheme of wing root bending variable swept-wing without encroaching on the belly space and designs a force amplification mechanism, which is reasonable according to the principle of virtual work. It is verified to be able to amplify the force by 130% through a set of eigenvalues. It provides certain references for the design of the variable swept-back wing. © 2024 IEEE.

关键词： Eigenvalues and eigenfunctions

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In_(2)O_(3)/Bi_(19)Br_(3)S_(27)S型异质结增强光催化CO_(2)还原

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Science China Materials 2024年第2期67卷 514-523页

作者：卞玉琴何厚伟 Graham Dawson 张金锋代凯 Laboratory of Green and Precise Synthetic Chemistry and Applications Ministry of EducationAnhui Province Key Laboratory of Pollutant Sensitive Materials and Environmental RemediationAnhui Province Key Laboratory of Intelligent Computing and ApplicationsAnhui Province Industrial Generic Technology Research Center for Alumics MaterialsHuaibei Normal UniversityHuaibei 235000China Department of Chemistry Xi’an Jiaotong Liverpool UniversitySuzhou 215123China

近年来,半导体催化剂因其较强的氧化还原能力和较好的稳定性而受到广泛关注.然而,光生电子和空穴对易复合和低氧化性导致单一半导体催化剂难以实现实际应用.深入研究表明,S型异质结具有独特的电子和空穴分离机理、强大的氧化还原能力和... 详细信息

近年来,半导体催化剂因其较强的氧化还原能力和较好的稳定性而受到广泛关注.然而,光生电子和空穴对易复合和低氧化性导致单一半导体催化剂难以实现实际应用.深入研究表明,S型异质结具有独特的电子和空穴分离机理、强大的氧化还原能力和较强的载流子分离驱动力.本研究以在In_(2)O_(3)纳米球上生长的Bi_(19)Br_(3)S_(27)纳米花为原料,采用水热法合成了In_(2)O_(3)/Bi_(19)Br_(3)S_(27)梯形异质结.这种梯形异质结有效地促进了光生电荷载流子的分离和转移.结果表明,In_(2)O_(3)/Bi_(19)Br_(3)S_(27)复合材料对CO_(2)的还原产率高达28.36μmol h^(-1)g^(-1),分别是In_(2)O_(3)和Bi_(19)Br_(3)S_(27)的19和3.5倍.此外,通过原位漫反射红外傅里叶变换光谱对参与光催化反应的中间体进行了研究,揭示了光催化还原CO_(2)的反应过程.本工作为构建S型异质结光催化剂增强CO_(2)催化还原的方法提供了较好的研究思路.

关键词： photocatalytic CO_(2)reduction S-scheme heterojunction In_(2)O_(3) Bi_(19)Br_(3)S_(27)

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DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis

arXiv

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arXiv 2024年

作者： Yang, Shangshang Chen, Mingyang Wang, Ziwen Yu, Xiaoshan Zhang, Panpan Ma, Haiping Zhang, Xingyi Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Anhui Hefei230601 China Anhui Province Key Laboratory of Intelligent Computing and Applications China Department of Information Materials Intelligent Sensing Laboratory of Anhui Province China

Existing graph learning-based cognitive diagnosis (CD) methods have made relatively good results, but their student, exercise, and concept representations are learned and exchanged in an implicit unified graph, which makes the interaction-agnostic exercise and concept representations be learned poorly, failing to provide high robustness against noise in students’ interactions. Besides, lower-order exercise latent representations obtained in shallow layers are not well explored when learning the student representation. To tackle the issues, this paper suggests a meta multigraph-assisted disentangled graph learning framework for CD (DisenGCD), which learns three types of representations on three disentangled graphs: student-exercise-concept interaction, exercise-concept relation, and concept dependency graphs, respectively. Specifically, the latter two graphs are first disentangled from the interaction graph. Then, the student representation is learned from the interaction graph by a devised meta multigraph learning module;multiple learnable propagation paths in this module enable current student latent representation to access lower-order exercise latent representations, which can lead to more effective nad robust student representations learned;the exercise and concept representations are learned on the relation and dependency graphs by graph attention modules. Finally, a novel diagnostic function is devised to handle three disentangled representations for prediction. Experiments show better performance and robustness of DisenGCD than state-of-the-art CD methods and demonstrate the effectiveness of the disentangled learning framework and meta multigraph module. The source code is available at https://***/BIMK/intelligent-education/tree/main/DisenGCD. Copyright © 2024, The Authors. All rights reserved.

关键词： Contrastive Learning

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A Review of Recent Patents on Structures Related to Tracheal Stents

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Recent Patents on Engineering 2022年第6期16卷 1-15页

作者： Bao, Yudong Qu, Shengqian Zhao, Yanling Li, Kai School of Mechanical and Power Engineering Harbin University of Science and Technology Heilongjiang Province Harbin150080 China Key Laboratory of Advanced Manufacturing and Intelligent Technology Ministry of Education Harbin University of Science and Technology Harbin150080 China

Background: The trachea is an important part of the respiratory system. Long-term airway diseases and the effects of human physiological conditions can cause trachea stenosis. This will seriously affect patients’ physical health. Tracheal stents can provide durable support by means of dilating the narrowed area;they can effectively relieve the patient's breathing difficulties, which is of value that is more practical. Objective: To meet the vital requirements for better adaptation to the human airway environment and prevent complications associated with stent placement, the construction and materials of tracheal stents have been improved constantly. Methods: This paper investigates various representative patents related to the tracheal stent. The structure type, placement method and applications situation of these tracheal stents are discussed. Results: The characteristics of different types of tracheal stents are analyzed. This paper analyzes the main problems in its development. The solutions to the issues and the current and future research on tracheal stents are discussed. Conclusion: The tracheal stents are classified into metal stent, silicone stent, biodegradable stent and hybrid material stent. Further improvements are needed in the aspects of structural design, safety, applicability, biocompatibility, algorithm of drive model of tracheal stent. More related patents about tracheal stents need to be developed. © 2022 Bentham Science Publishers.

关键词： Silicones

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Learning a Coordinated Network for Detail-Refinement Multiexposure Image Fusion

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IEEE Transactions on Circuits and Systems for Video Technology 2023年第2期33卷 713-727页

作者： Li, Jiawei Liu, Jinyuan Zhou, Shihua Zhang, Qiang Kasabov, Nikola K. Ministry of Education School of Software Engineering Dalian University Key Laboratory of Advanced Design and Intelligent Computing Dalian116622 China Dalian University of Technology School of Software Technology Dalian116024 China Auckland University of Technology Knowledge Engineering and Discovery Research Institute Auckland1010 New Zealand Ulster University Intelligent Systems Research Center LondonderryBT52 1SA United Kingdom

Nowadays, deep learning has made rapid progress in the field of multi-exposure image fusion. However, it is still challenging to extract available features while retaining texture details and color. To address this difficult issue, in this paper, we propose a coordinated learning network for detail-refinement in an end-to-end manner. Firstly, we obtain shallow feature maps from extreme over/under-exposed source images by a collaborative extraction module. Secondly, smooth attention weight maps are generated under the guidance of a self-attention module, which can draw a global connection to correlate patches in different locations. With the cooperation of the two aforementioned used modules, our proposed network can obtain a coarse fused image. Moreover, by assisting with an edge revision module, edge details of fused results are refined and noise is suppressed effectively. We conduct subjective qualitative and objective quantitative comparisons between the proposed method and twelve state-of-the-art methods on two available public datasets, respectively. The results show that our fused images significantly outperform others in visual effects and evaluation metrics. In addition, we also perform ablation experiments to verify the function and effectiveness of each module in our proposed method. The source code can be achieved at https://***/lok-18/LCNDR. © 1991-2012 IEEE.

关键词： Extraction

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Transient Electro-thermal Analysis of the Bipolar Transistor

Transient Electro-thermal Analysis of the Bipolar Transistor

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2023 International Applied Computational Electromagnetics Society Symposium, ACES-Monterey 2023

作者： Xiao, Hui Ren, Xingang Yan, Yeqiang Si, Junjie Cai, Xueyuan Wu, Bo Huang, Zhixiang Wu, Xianliang Anhui Province Key Laboratory of Target Recognition and Feature Extraction Luan23700 China Engineering Technology Research Center of Specific Power Devices with Novel Semiconductor Materials Anhui Province Chizhou247100 China Anhui University Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Hefei230601 China

ISBN: (纸本)9781733509633

This paper describes the transient electro-thermal properties of the bipolar transistor by a two-dimensional transient electro-thermal simulation, in which model the coupled heat conduction equation and drift-diffusion equations are solved. The backward difference scheme with the second-order accuracy was used to discretize the time derivative. The increment of bipolar transistor temperature will affect the drift and diffusion of carriers and thus its electrical characteristics. Through the transient study of electro-thermal characteristics of the bipolar transistor, the influence of the self-heating effect on bipolar transistor characteristic has considered in amplification mode. The developed model and results obtained in this work can be used to optimize the thermal design of bipolar transistor. © 2023 ACES.

关键词： Thermoanalysis

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A Novel Broadband EBG Structure For Simultaneous Switching Noise Suppression

A Novel Broadband EBG Structure For Simultaneous Switching N...

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2023 International Applied Computational Electromagnetics Society Symposium, ACES-Monterey 2023

作者： Sun, Guoxing Yan, Yeqiang Ren, Xingang Cai, Xueyuan Wu, Bo Ju, Huping Tao, Wei Wang, Gang Zou, Bao Huang, Zhixiang Wu, Xianliang Anhui Province Key Laboratory of Target Recognition and Feature Extraction Luan23700 China Engineering Technology Research Center of Specific Power Devices with Novel Semiconductor Materials Anhui Province Chizhou247100 China Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei230601 China

ISBN: (纸本)9781733509633

In this paper, a compact electromagnetic bandgap (EBG) structure for suppressing simultaneous switching noise (SSN) in high-speed circuits is proposed. At the bandwidth level of 0.35GHz to 20GHz, an ultra-wideband SSN suppression feature with a suppression depth of -40dB is achieved. The basic unit structure of the presented EBG is formed by etching an annular groove in the square patch and connecting the separated patches inside and outside the groove with a bridge adjacent to the end. An improved L-type bridge is used between the EBG units to further improve the EBG performance. Compared with the traditional L-type bridge, the suppression depth of the proposed electromagnetic bandgap structure is improved from -30dB to - 40dB. In addition, the time domain eye simulation results show that the structure has good signal integrity. © 2023 ACES.

关键词： Energy gap

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Transient Electro-thermal and Bandgap Narrowing Analysis of the bipolar transistor

Transient Electro-thermal and Bandgap Narrowing Analysis of ...

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2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023

作者： Xiao, Hui Ren, Xingang Yan, Yeqiang Huang, Zhixiang Wu, Xianliang Anhui Province Key Laboratory of Target Recognition and Feature Extraction Luan23700 China Engineering Technology Research Center of Specific Power Devices with Novel Semiconductor Materials Anhui Province Chizhou247100 China Anhui University Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Hefei230601 China

ISBN: (纸本)9781733509657

Given the bandgap narrowing (BGN) effect caused by heavy doping of the bipolar transistor and the self-heating effect (SHE) in the practical work environment, a transient electro-thermal and bandgap narrowing model is proposed in this paper, which is based on the Slotboom model and the modification of the drift-diffusion equation based on semiconductor equations and the heat conduction equation. The transient characteristics of the bipolar transistor in amplification mode are simulated using the differential method, and the results show that the terminal current of the bipolar transistor decreases after considering the SHE and the BGN effect. The model developed and the results obtained in this work can provide some reference significance for the optimization of the amplification characteristics of the bipolar transistor. © 2023 Applied Computational Electromagnetics Society (ACES).

关键词： Energy gap

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A Sparsity Knowledge Transfer-Based Evolutionary Algorithm for Large-Scale Multitasking Multi-Objective Optimization

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IEEE Transactions on Evolutionary Computation 2024年

作者： Wu, Chengming Tian, Ye Zhang, Limiao Xiang, Xiaoshu Zhang, Xingyi Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Artificial Intelligence Hefei230601 China Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Hefei230039 China Anhui University Information Materials and Intelligent Sensing Laboratory of Anhui Province Anhui Hefei230601 China Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Institutes of Physical Science and Information Technology Hefei230601 China

Multitasking multi-objective evolutionary algorithms (MMEAs) have been extensively studied in the past decade, which mainly concentrate on multitasking multi-objective optimization problems (MMOPs) with dozens of decision variables. Nevertheless, many real-world MMOPs have thousands of decision variables and are of sparse nature, which are regarded as large-scale MMOPs (LSMMOPs) in this study. To address LSMMOPs, a sparsity knowledge transfer-based evolutionary multi-objective algorithm, termed EMO-SKT, is proposed for efficiently finding high-quality sparse solutions of LSMMOPs. For each target optimization task, a sparsity knowledge transfer strategy extracts sparse distribution information from a source task and incorporates the information into the target task for two types of sparsity knowledge: variable importance and sparse degree. The variable importance is utilized to produce high-quality sparse solutions during the evolutionary search for EMO-SKT, while the sparse degree facilitates the reduction of search space and thus speeds up the convergence of the evolutionary search. Experimental results on eight benchmark problems and six practical LSMMOPs demonstrate the effectiveness of the sparsity knowledge transfer strategy. Furthermore, the proposed EMO-SKT is capable of efficiently finding high-quality sparse solutions on an LSMMOP with over 1000 decision variables. In comparison with five state-of-the-art multitasking or sparse optimization algorithms, the proposed EMO-SKT exhibits superior performance in terms of both solution quality and search efficiency. © 1997-2012 IEEE.

关键词： Optimization algorithms

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Ultrafine-grained LaB_(6)–ZrB_(2) composite ceramics with superior mechanical and thermionic emission properties prepared by highpressure sintering

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Journal of advanced Ceramics 2024年第12期13卷 2021-2029页

作者： Xiaogang Guo An Liu Lingjuan Hao Hang Zhou Shuai Chen Pan Ying Bing Liu Baozhong Li Yufei Gao Zhisheng Zhao Ling Kong Mengdong Ma Xinyu Yang Dongli Yu Center for High Pressure Science(CHiPS) State Key Laboratory of Metastable Materials Science and TechnologyYanshan UniversityQinhuangdao 066004China State Key Laboratory of Crane Technology Yanshan UniversityQinhuangdao 066004China Handan key Laboratory of Intelligent Awareness and Application Handan UniversityHandan 056001China National Key Laboratory of Advanced Casting Technologies MIIT Key Laboratory of Advanced Metallic and Intermetallic Materials TechnologyEngineering Research Center of Materials Behavior and DesignMinistry of EducationNanjing University of Science and TechnologyNanjing 210094China School of Mechanical Engineering Yanshan UniversityQinhuangdao 066004China School of Materials Science and Engineering Hefei University of TechnologyHefei 230009China

In this study,ultrafine-grained LaB_(6)–ZrB_(2)composite ceramics were successfully synthesized by sintering a mixture of self-produced LaB_(6)nanopowder and commercial ZrB_(2)nanopowder under high *** with their coarse-grained counterparts,ultrafine-grained ceramics exhibit improved mechanical ***,the ultrafinegrained LaB_(6)–ZrB_(2)composite ceramic sintered at 4 GPa and 1673 K,with an average grain size of 286 nm,shows optimal mechanical performance characterized by a Vickers hardness of 25.6 GPa,a fracture toughness of 4.1 MPa·m^(1/2),and an elastic modulus of 338 ***,the ultrafine-grained LaB_(6)–ZrB_(2)composite ceramics displayed strong thermal emission,reaching a maximum current density of 27.5 A∙cm^(−2)at 1773 *** structural and functional advantages of ultrafine-grained LaB_(6)–ZrB_(2)composite ceramics render them suitable for potential use in thermionic emission cathodes.

关键词： LaB_(6)-ZrB_(2) ultrafine-grained high pressure mechanical properties thermal field emission

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