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New technology of Multidirectional Loading Rotary Extrusion

Chinese Journal of Mechanical Engineering 2023年第5期36卷 353-363页

作者： Zhimin Zhang Yong Xue Xing Zhang Beibei Dong Mei Cheng Zhe Chen National Defense Science and Technology Industry Complex Component Extrusion Technology Innovation Center North University of ChinaTaiyuan 030051China School of Materials Science and Engineering North University of ChinaTaiyuan 030051China

To satisfy the requirements for the precise formation of large-scale high-performance lightweight components with inner ring reinforcement, a new multidirectional loading rotary extrusion forming technology is developed to match the linear motion with the rotary motion and actively increases the strong shear force. Its principle is that the radial force and rotating torque increase when the blank is axially extruded and loaded. Through the synergistic action of axial, radial, and rotating motions, the orderly fow of metal is controlled, and the cumulative severe plastic deformation (SPD) of an“uplift-trowel” micro-area is generated. Consequently, materials are uniformly strengthened and toughened. Simultaneously, through the continuous deformation of a punch “ellipse-circle,” a high reinforcement component is grown on the cylinder wall to achieve the high-quality formation of cylindrical parts or the inner-ring-reinforcement components. Additionally, the efective strain increases with rotation speed, and the maximum intensity on the basal plane decreases as the number of revolutions increase. The punch structure also afects the axial extrusion loading and equivalent plastic strain. Thus, the proposed technology enriches the plastic forming theory and widens the application feld of plastic forming. Furthermore, the formed large-scale high-performance inner-ring-stifened magnesium components have been successfully verifed in aerospace equipment, thereby solving the problems of integral forming and severe deformation strengthening and toughening. The developed technology has good prospects for mass production and application.

关键词： Multidirectional loading Rotary extrusion Inner ring reinforcement Severe plastic deformation Anisotropy

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Review of Development and Characteristics Research on Electro-hydraulic Servo System

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Recent Patents on Engineering 2024年第6期18卷 140-154页

作者： Li, Jianying Kong, Lingbing Liang, Heng Li, Weidong Key Laboratory of Advanced Manufacturing and Intelligent Technology Ministry of Education Harbin University of Science and Technology Harbin150080 China School of Mechanical and Power Engineering Harbin University of Science and Technology Harbin150080 China

Background: The nonlinear problem of the electro-hydraulic servo system directly af-fects the system accuracy, response speed and other indicators, and the resulting problems of control inaccuracy and response delay urgently need to be solved. Method: This article provides an overview of the working principle of electro-hydraulic servo sys-tems, reviews the development history of electro-hydraulic servo systems, and summarizes the current research difficulties and latest patents of electro-hydraulic servo systems from the characteristics of active and passive loading systems, electro-hydraulic servo system multi flexibility charac-teristics, gap nonlinearity,parameter time-varying characteristics,mathematical modeling,force tracking accuracy control strategy, etc. Result: A large number of scholars have proposed the latest optimization strategies to address the nonlinear problems in various aspects of the electro-hydraulic servo system, effectively improving the control accuracy and static and dynamic characteristics of the electro-hydraulic servo system. Conclusion: By summarizing the latest progress in the study of nonlinear problems in various links of electro-hydraulic servo systems, it has played a guiding role in their future improvement and optimization strategies. © 2024 Bentham science Publishers.

关键词： Hydraulic servomechanisms

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Novel electriferous charge-mosaic S(TMC@Lys-Li)separator towards efficient Li^(+)fast-transfer for high-energy density and long-duration lithium-sulfur batteries

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Journal of Energy Chemistry 2025年第3期102卷 197-207页

作者： Lei Ding Dandan Li Sihang Zhang Zhaoyang Wang Pengfang Zhang Fanghui Du Shuyue Zhao Daoxin Zhang Feng Yang Shuo Zhang Shandong Key Laboratory of Chemical Energy Storage and New Battery Technology School of Chemistry and Chemical EngineeringLiaocheng UniversityLiaocheng 252000ShandongChina School of Food Science and Engineering Hainan UniversityHaikou 570228HainanChina State Key Laboratory of Polymer Materials Engineering College of Polymer Science and EngineeringSichuan UniversityChengdu 610065SichuanChina College of Materials Science and Engineering Qingdao University of Science and TechnologyQingdao 266042ShandongChina

Lithium-sulfur(Li-S)batteries with attractive capacity give remarkable potential for prospective high-capacity application scenarios but suffer a fatal flaw of short cyclability before large-scale commercialization especially owing to polysulfide(Li_(2)S_(n))transmembrane *** efficiently restrain chronic Li_(2)S_(n) shuttle and expedite Li^(+)transfer,herein,a novel electriferous charge-mosaic S(TMC@Lys-Li)separator preparation approach is *** polymerizations of lithiated lysine and trimesoyl chloride establish an electriferous charge-mosaic polyamide functional *** Li within the charge-mosaic layer offers transition or replacement sites for smoothing Li^(+)migrations,which constructs efficient Li^(+)fast-transfer private channels and accelerates the Li^(+)transfer rate to 9.4 *** charged polyamide skeleton synchronously heightens Li_(2)S_(n) rejections by combining Donnan and steric effects.S(TMC@Lys-Li)replenishes Li for homogenizing Li nucleation and growth,endowing stable plating/stripping behaviors over 250 cycles for Li-Cu *** Li-S cells thus exhibit excellent specific capacity and cyclability at multiple application scenarios such as long periods,high areal capacity,and fast charge,holding 78.1%retention after 500 cycles at 1 *** superior thermal stability and self-discharge of S(TMC@Lys-Li)dramatically strengthen battery thermal runaway resistance even at155℃,which ensures security for Li-S battery high-power and high-temperature *** alluring features enable charge-mosaic separators to be potentially adopted in practical Li-S batteries demanding strict security,high-capacity density,and fast charge technology.

关键词： Lithium-sulfur battery separator Polysulfide barrier Li*fast-transfer private channels Multifunctional

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DialTest-EA: An Enhanced Fuzzing Approach With Energy Adjustment for Dialogue Systems via Metamorphic Testing

DialTest-EA: An Enhanced Fuzzing Approach With Energy Adjust...

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作者： Chen, Haibo Chen, Jinfu Wu, Yucheng Cai, Saihua Ahmad, Bilal Huang, Rubing Wang, Shengran Zhang, Chi School of Computer Science and Communication Engineering Jiangsu Key Laboratory of Security Technology Industrial Cyberspace Jiangsu University Zhenjiang China School of Computer Science and Engineering Faculty of Innovation Engineering Macau University of Science and Technology China

Deep neural networks (DNNs) possess potent feature learning capability, enabling them to comprehend natural language, which strongly support developing dialogue systems. However, dialogue systems usually perform incorrect behaviours in some corner cases, which may cause misunderstanding or economic loss. To test and debug dialogue systems, a popular fuzzing framework by metamorphic testing with Gini impurity guidance is proposed, namely, DialTest. However, DialTest treats all seeds (the initial test inputs to generate the mutated test inputs) equally during the fuzzing process and does not differentiate seeds, resulting in a certain limitation to its incorrect behaviour detection capability. In this paper, we propose to enhance the DialTest by applying a lightweight energy adjustment strategy called DialTest with Energy Adjustment (DialTest-EA). DialTest-EA employs the ant colony optimization algorithm (ACO) to adjust the mutation energy of each seed adaptively, ensuring that potential seeds have more opportunities to generate subsequent test inputs. To evaluate the effectiveness of the proposed DialTest-EA, we conduct a series of comparisons with the original DialTest and random mutation strategy. The experimental results show that the proposed DialTest-EA outperforms the compared methods both in the intent detection and slot filling tasks. Compared with the original DialTest, the intent detection accuracy of generated test cases by the proposed method is reduced by more than 14%, and the slot filling accuracy is reduced by more than 8%. © 2024 John Wiley & Sons Ltd.

关键词： Ant colony optimization

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Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation 41

Batch Singular Value Polarization and Weighted Semantic Augm...

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41st International Conference on Machine Learning, ICML 2024

作者： Wang, Ziqi Wang, Wei Huang, Chao Wen, Jie Wang, Cong School of Cyber Science and Technology Sun Yat-sen University Shenzhen Campus Shenzhen China School of Computer Science and Technology Harbin Institute of Technology Shenzhen China

As a more challenging domain adaptation setting, universal domain adaptation (UniDA) introduces category shift on top of domain shift, which needs to identify unknown category in the target domain and avoid misclassifying target samples into source private *** this end, we propose a novel UniDA approach named Batch Singular value Polarization and Weighted Semantic Augmentation (BSP-WSA).Specifically, we adopt an adversarial classifier to identify the target unknown category and align feature distributions between the two ***, we propose to perform SVD on the classifier's outputs to maximize larger singular values while minimizing those smaller ones, which could prevent target samples from being wrongly assigned to source private *** better bridge the domain gap, we propose a weighted semantic augmentation approach for UniDA to generate data on common categories between the two *** experiments on three benchmarks demonstrate that BSP-WSA could outperform existing state-of-the-art UniDA approaches. Copyright 2024 by the author(s)

关键词： Generative adversarial networks

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Domain Contrastive Learning for Multi-Site Alzheimer's Disease Classification 20

Domain Contrastive Learning for Multi-Site Alzheimer's Disea...

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20th International computer Conference on Wavelet Active Media technology and Information Processing, ICCWAMTIP 2023

作者： Fiasam, Linda Delali Rao, Yunbo Sey, Collins Aggrey, Esther Stacy E. B. Kodjiku, Seth Larweh Browne, Judith Ayekai Danso, Juliana Mantebea Ukwuoma, Chiagoziem C. Gyarteng, Emmanuel S. A. School of Information and Software Engineering University of Electronic Science and Technology of China China School of Computer Science and Technology Zhejiang Gongshang University China School of Computer Science and Technology University of Electronic Science and Technology of China University China College of Nuclear Technology and Automation Engineering Chengdu University of Technology China

ISBN: (纸本)9798350318982

In the field of medical imaging, accurately classifying Alzheimer's Disease (AD) poses a substantial challenge, primarily due to the inherent variability in imaging data across different clinical sites. This paper introduces a novel approach, Domain Contrastive Learning (DCL), to address this challenge by enhancing the robustness and transferability of AD classification models using multi-site Magnetic Resonance Imaging (MRI) data. DCL leverages a unique contrastive learning technique within an autoencoder's latent space, enabling the extraction of domain-invariant features essential for accurate diagnosis. We rigorously evaluate the proposed network on brain images from three distinct imaging sites, employing a Domain Generalization (DG) training protocol to ensure robustness and generalizability across varying data sources. Our model is evaluated on three binary classification tasks: AD vs. Normal Control (NC), AD vs. Mild Cognitive Impairment (MCI), and MCI vs. NC. Results demonstrate that DCL outperforms existing methods, especially in AD vs. NC classification, achieving higher accuracy, sensitivity, and specificity with 0.51%, 1.54% and 1.68% increments respectively. This underscores DCL's potential as a robust and generalizable method for enhanced AD diagnosis, marking a significant step forward in medical imaging challenges in a multi-site context. © 2023 IEEE.

关键词： Magnetic resonance imaging

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CoMIF: Modeling of Complex Multiple Interaction Factors for Conversation Generation 31

CoMIF: Modeling of Complex Multiple Interaction Factors for ...

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31st International Conference on Computational Linguistics, COLING 2025

作者： Chen, Yuxuan Wei, Wei Fan, Shixuan Xu, Kaihe Chen, Dangyang Laboratory School of Computer Science and Technology Huazhong University of Science and Technology China China Ping An Property & Casualty Insurance company of China Ltd. China

ISBN: (纸本)9798891761964

Highly realistic human-machine interaction is challenging for open-domain dialogue systems. Although existing methods have achieved notable progress by leveraging various interaction factors (e.g., emotion, personality, topic) for delivering human-like (e.g., empathetic, personalized and semantically-consistent) responses, they typically model such factors alone and thus easily suffer from low-quality response generation issue, due to the overlook of implicit correlations among factors. Furthermore, different factors may alternately dominate token-level response generation during decoding, making it harder to generate high-quality responses by applying various factors at the sentence level. To address the issue, we present a unified response generation framework, which is capable of simultaneously modeling Complex Multiple Interaction Factors (named CoMIF) to generate human-like conversations. To model the implicit correlations among factors, CoMIF first employs a dynamic perception module to construct a directed collaborative-graph to jointly learn the dynamics over time of each factor, as well as the cross-dependencies among them. Additionally, we also design a scalable post-adaptation module to introduce token-level factor signals to generate more human-like responses with appropriately multiple factors. Extensive experiments over multiple datasets demonstrate that the proposed method achieves the superior performance in generating more human-like responses with appropriate multiple-factors, as compared to the state-of-the-art methods. © 2025 Association for Computational Linguistics.

关键词： Computational linguistics

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Mixed-decomposed convolutional network:A lightweight yet efficient convolutional neural network for ocular disease recognition

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CAAI Transactions on Intelligence technology 2024年第2期9卷 319-332页

作者： Xiaoqing Zhang Xiao Wu Zunjie Xiao Lingxi Hu Zhongxi Qiu Qingyang Sun Risa Higashita Jiang Liu Research Institute of Trustworthy Autonomous Systems and Department of Computer Science and Engineering Southern University of Science and TechnologyShenzhenChina Tomey Corporation NagoyaJapan Guangdong Provincial Key Laboratory of Brain‐inspired Intelligent Computation Department of Computer Science and EngineeringSouthern University of Science and TechnologyShenzhenChina Singapore Eye Research Institute SingaporeSingapore

Eye health has become a global health concern and attracted broad *** the years,researchers have proposed many state-of-the-art convolutional neural networks(CNNs)to assist ophthalmologists in diagnosing ocular diseases efficiently and ***,most existing methods were dedicated to constructing sophisticated CNNs,inevitably ignoring the trade-off between performance and model *** alleviate this paradox,this paper proposes a lightweight yet efficient network architecture,mixeddecomposed convolutional network(MDNet),to recognise ocular *** MDNet,we introduce a novel mixed-decomposed depthwise convolution method,which takes advantage of depthwise convolution and depthwise dilated convolution operations to capture low-resolution and high-resolution patterns by using fewer computations and fewer *** conduct extensive experiments on the clinical anterior segment optical coherence tomography(AS-OCT),LAG,university of California San Diego,and CIFAR-100 *** results show our MDNet achieves a better trade-off between the performance and model complexity than efficient CNNs including MobileNets and ***,our MDNet outperforms MobileNets by 2.5%of accuracy by using 22%fewer parameters and 30%fewer computations on the AS-OCT dataset.

关键词： artificial intelligence deep learning deep neural networks image analysis image classification medical applications medical image processing

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Verifiable delay functions and delay encryptions from hyperelliptic curves

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Cybersecurity 2024年第4期7卷 110-121页

作者： Chao Chen Fangguo Zhang School of Computer Science and Engineering Sun Yat-sen UniversityGuangzhou 510006China Guangdong Province Key Laboratory of Information Security Technology Guangzhou 510006China

Verifiable delay functions(VDFs)and delay encryptions(DEs)are two important primitives in decentralized systems,while existing constructions are mainly based on time-lock puzzles.A disparate framework has been established by applying isogenies and pairings on elliptic *** this line,we first employ Richelot isogenies and non-degenerate pairings from hyperelliptic curves for a new verifiable delay function,such that no auxiliary proof and interaction are needed for the ***,we demonstrate that our scheme satisfies all security requirements,in particular,our VDF can resist several attacks,including the latest attacks for ***,resorting to the same techniques,a secure delay encryption from hyperelliptic curves is constructed by modifying Boneh and Frankiln's IBE scheme,which shares the identical setup with our VDF *** far as we know,these schemes are the first cryptographic applications from high-genus isogenies apart from basic protocols,i.e.,hash functions and key exchange protocols.

关键词： Verifiable delay functions Delay encryptions Hyperelliptic curves Richelot isogenies Pairings

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A Novel Teaching Strategy Based on EduCoder Platform for C Programming Language 5th

A Novel Teaching Strategy Based on EduCoder Platform for C P...

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5th International Conference on computer science and Educational Informatization, CSEI 2023

作者： Li, Wei Hei, Xinhong Wang, Lei Wang, Yichuan School of Computer Science and Engineering Xi’an University of Technology Xi’an China Shaanxi Key Laboratory for Network Computing and Security Technology Xi’an China School of Mathematics and Computer Science Shaanxi University of Technology Hanzhong China

ISBN: (纸本)9789819994915

Experimental teaching is an important part of the C programming language course, which aims to cultivate students’ Computational thinking ability, problem solving ability and programming ability. However, the existing experimental teaching mode of the C programming language course has been criticized mainly for their: 1) it is difficult for teachers to check all students’ programs within a limited time;2) Limited computer room capacity, fixed time, and other factors make it difficult to meet the personalized requirements of students. In this paper, we put forward the construction scheme of experimental teaching of the C programming language course based on the EduCoder platform, which alleviates all the above two problems. The scheme follows the fundamental law of engineering practice ability training and constructs a LDEI practice teaching closed loop of "learning (L), doing (D), evaluation (E) and improvement (I)". Through specific cases, this paper elaborates the implementation process of this scheme in the experimental teaching of the C programming language course. Finally, a survey are conducted on 64 students from computer science and technology majors. The survey results show that the designed scheme effectively enhances the students’ Computational thinking ability and programming ability. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Students

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