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A comparative study of surface characterization and corrosion behavior of micro-arc oxidation treated Ti-6Al-4V alloy prepared by SEBM and SLM

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Journal of Iron and Steel Research International 2023年第1期30卷 165-175页

作者： Qing-bo Yan Tong Xue Shi-feng Liu Wan-lin Wang Yan Wang xi Song xin Yang Wei-wei Shang Xi’an University of Architecture and Technology Xi’an 710055ShaanxiChina School of Metallurgical and Engineering Xi’an University of Architecture and TechnologyXi’an 710055ShaanxiChina School of Materials Science and Engineering Xi’an University of TechnologyXi’an 710048ShaanxiChina Shaanxi Steel Group Industrial Innovation Research Institute Co. Ltd.Hanzhong 723000ShaanxiChina

Additively manufactured Ti-6Al-4V(TC4)parts have been successfully employed as artificial implants in dental and orthopedic surgery due to their excellent mechanical ***,the suboptimal corrosion resistance limits their *** surface characterization and corrosion behavior of micro-arc oxidation(MAO)treated TC4 alloy prepared by selective electron beam melting(SEBM)and selective laser melting(SLM)technologies were *** corrosion resistance mechanism of SLM-MAO and SEBM-MAO was clarified through the analysis of the microstructure evolution,surface morphology,and electrochemical *** results show that the anatase-type TiO_(2) is partially transformed into the slankite phase after MAO *** surface roughness of SEBM sample was reduced by MAO coating,while the surface roughness of SLM sample increased after MAO,which is related to the difference between the microstructure of the deposited samples caused by different additive manufacturing *** MAO time was 15 min,SLM-MAO and SEBM-MAO coating displayed the best and the worst corrosion resistance,respectively.

关键词： TC4 alloy Selective laser melting Selective electron beam melting Micro-arc oxidation Corrosion resistance

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Hierarchical porous(Ta_(0.2)Nb_(0.2)Ti_(0.2)Zr_(0.2)Hf_(0.2))C high-entropy ceramics prepared by a self-foaming method for thermal insulation

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Journal of Advanced Ceramics 2024年第7期13卷 956-966页

作者： Cuiyan Li Ruinan Gao Haibo Ouyang Tianzhan Shen Zihao Chen Yanlei Li Key Laboratory for Green Manufacturing&Functional Application of Inorganic Materials School of Materials Science and EngineeringShaanxi University of Science and TechnologyXi’an 710021China

To meet the emerging demands for thermal protection materials for hypersonic aircraft,developing porous ultrahigh-temperature ceramics with both robust mechanical properties and superior thermal insulation performance is a critical ***,we report novel porous(Ta_(0.2)Nb_(0.2)Ti_(0.2)Zr_(0.2)Hf_(0.2))C high-entropy carbide(PHEC)ceramics fabricated by a self-foaming method using commercially available metal chloride and furfuryl alcohol(FA)as *** PHEC ceramics are constructed of microspheres with a size of 2µm,leading to a high porosity of 91.3%and an interconnected *** microspheres consist of high-entropy carbide grains(20 nm),resulting in abundant interfaces and nanosized pores in the PHEC *** to its unique hierarchical structure,the prepared PHEC ceramics have outstanding compressive strength(28.1±2 MPa)and exceptionally low thermal conductivity(κ_(T),0.046 W·m^(-1)·K^(-1))at room *** makes it a promising thermal insulation materials for ultrahigh temperature *** work provides a cost-effective and facile strategy for producing porous ultrahigh-temperature ceramics.

关键词： porous ceramics high-entropy carbides hierarchical structure thermal insulation self-foaming

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Double quantum images encryption scheme based on chaotic system

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Chinese Physics B 2024年第4期33卷 305-320页

作者：蒋社想李杨石锦张茹 School of Computer Science and Engineering Anhui University of Science and TechnologyHuainan 232001China Anhui Key Laboratory of Mine Intelligent Equipment and Technology Anhui University of Science&TechnologyHuainan 232001China

This paper explores a double quantum images representation(DNEQR)model that allows for simultaneous storage of two digital images in a quantum superposition ***,a new type of two-dimensional hyperchaotic system based on sine and logistic maps is investigated,offering a wider parameter space and better chaotic behavior compared to the sine and logistic *** on the DNEQR model and the hyperchaotic system,a double quantum images encryption algorithm is ***,two classical plaintext images are transformed into quantum states using the DNEQR ***,the proposed hyperchaotic system is employed to iteratively generate pseudo-random *** chaotic sequences are utilized to perform pixel value and position operations on the quantum image,resulting in changes to both pixel values and ***,the ciphertext image can be obtained by qubit-level diffusion using two XOR operations between the position-permutated image and the pseudo-random *** corresponding quantum circuits are also *** results demonstrate that the proposed scheme ensures the security of the images during transmission,improves the encryption efficiency,and enhances anti-interference and anti-attack capabilities.

关键词： double quantum images encryption chaotic system pixel scrambling XOR operation

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Pyrene-tethered bismoviologens for visible light-induced C(sp^(3))-P and C(sp^(2))-P bonds formation

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Chinese Chemical Letters 2023年第6期34卷 329-335页

作者： Wenqiang Ma Sikun Zhang Liang Xu Bingjie Zhang Guoping Li Bin Rao Mingming Zhang Gang He Key Laboratory of Thermo-Fluid Science and Engineering of Ministry of Education School of Energy and Power EngineeringFrontier Institute of Science and TechnologyXi’an Jiaotong UniversityXi’an 710054China School of Chemistry Xi’an Key Laboratory of Sustainable Energy Materials ChemistryXi’an Jiaotong UniversityXi’an 710049China School of Materials Science and Engineering Xi’an Jiaotong UniversityXi’an 710049China

Developing efficient photosensitizers for C-P bond construction is highly important and remains a challenge due to the urgently needed for the synthesis of modified nucleosides,nucleotides,and other phosphine-containing ***,two pyrene-tethered bismoviologen derivatives(Py-BiV^(2+))were designed and synthesized for visible-light-induced C-P bonds *** photochemical and electrochemical properties of Py-BiV^(2+)were studied systemically,certifying fine-tunable opto-electronic properties through the number of pyrene groups(4,n=1;6,n=2).The prepared Py-BiV^(2+)showed strong light absorption,while retaining good redox features and chromic response features that were inherent to viologens.4 exhibited accelerated photoinduced electron transfer in the presence of the electron donor(pyrene)and the generated 4(radical cation)showed higher ***,Py-BiV^(2+)directly served as photosensitizers for the first time in the visible-light-induced C(sp^(3))-P and C(sp^(2))-P bonds *** expected,these novel viologen derivatives exhibited good catalytic performance and good substrate expansibility under ambient conditions.

关键词： Viologen Electrochromism C-P bonds Photocatalysis Bismuth

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Multi-Domain Graph-Enhanced Joint Intent and Slot Learning

IAENG International Journal of Computer Science

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IAENG International Journal of computer science 2025年第2期52卷 374-382页

作者： Shi, Wu Yuan, Weihao Wang, Yang Dong, Yindong Xu, Gaojian School of Information and Artificial Intelligence Anhui Agricultural University Hefei230036 China School of Computer Science and Technology Xidian University Xi’an710126 China School of Engineering Anhui Agricultural University Hefei230036 China

Comprehension of spoken language is essential in dialog systems, as it supports two fundamental tasks: intent classification and slot filling. At present, federated modeling methodologies prevail in the domain of spoken language comprehension. Nevertheless, current models encounter constraints in accurately representing the interrelations among activities and utilizing cross-domain semantic data. This study introduces the Multi-Domain Graph-Enhanced Joint Intent and Slot Learning (MDG-JISL) paradigm to tackle these difficulties. MDG-JISL amalgamates a pre-trained BERT model with a self-trained FastText model to create superior sentence-level and word-level representations. A syntactic dependency tree is employed to create graph structures among words, which are subsequently refined by the implementation of a Graph Convolutional Network (GCN) to more effectively capture relationship properties. A Conditional Random Field (CRF) model is utilized for decoding, enhancing the model’s efficacy in natural language processing tasks. Experimental findings indicate that MDG-JISL attains remarkable performance on cross-domain datasets, with Slot(F1), Intent (Acc), and Overall (Acc) metrics of 98.7%, 98.4%, and 92.4%, respectively. The results validate the model’s efficacy in intent classification and slot filling. © (2025), (International Association of Engineers). All rights reserved.

关键词： Syntactics

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Research on the feasibility of storage and estimation model of storage capacity of CO_(2)in fissures of coal mine old goaf

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International Journal of Mining science and technology 2023年第6期33卷 675-686页

作者： Yang Ding Shugang Li Bing Zhu Haifei Lin Jingfei Zhang Junhong Tan Wenbin Chen School of Safety Science and Engineering Xi’an University of Science and TechnologyXi’an 710054China Western Coal Gas Intelligent Draining Engineering Research Center China National Coal AssociationXi’an 710054China

The concept of the carbon cycle in the old goaf of a coal mine based on CO_(2)utilization and storage was put forward adhering to the principle of low-carbon development,utilization of space resources in old goafs,and associated gas resources ***,the evolution characteristics of overburden fissures in the goaf of the case was studied using a two-dimensional physical similarity simulation test,the sealing performance of the caprocks after stabilization was analyzed,and the fissures were counted and ***,the process of gaseous CO_(2)injection in the connected fissure was simulated by Ansys Fluent software,and the migration law and distribution characteristics of CO_(2)under the condition of gaseous CO_(2)injection were ***,the estimation models of free CO_(2)storage capacity in the old goaf were constructed considering the proportion of connected fissure and the effectiveness of CO_(2)*** CO_(2)storage capacity in the old goaf of the case coal mine was *** results showed that a caprock group of“hard-thickness low-permeability hard-thickness”was formed after the caprock-fissures system in the goaf of the case tended to be stable *** connected fissure,occlude cracks,and micro-fractures in the goaf accounted for 85.5%,8.5%,and 6%of the total fissures,*** CO_(2)first migrated to the bottom of the connected fissure after CO_(2)was injected into the goaf,then spread horizontally along the bottom of the connected fissure after reaching the bottom,and finally spread longitudinally after filling the bottom of the entire connected *** theoretical and effective storage capacities of free CO_(2)at normal temperature and pressure in the old goaf of the case were 9757 and 7477 t,*** effective storage capacity of free CO_(2)at normal temperature and pressure in the old goaf after all minefield mined was 193404 *** research can provide some reference for the coal mining ind

关键词： Carbon cycle Old goaf Fissure CO_(2)storage Feasibility Storage capacity

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Magnifier: A Chiplet Feature-Aware Test Case Generation Method for Deep Learning Accelerators

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IEEE Transactions on computer-Aided Design of Integrated Circuits and Systems 2025年第7期44卷 2803-2816页

作者： Li, Boyu Zhu, Zongwei Liu, Weihong Cao, Qianyue Li, Changlong Ji, Cheng Li, xi Zhou, Xuehai University of Science and Technology of China School of Computer Science and Technology Hefei230026 China University of Science and Technology of China Suzhou Institute for Advanced Research Suzhou215123 China University of Science and Technology of China School of Software Engineering Hefei230026 China University of Science and Technology of China China and Suzhou Institute for Advanced Research Suzhou215123 China East China Normal University School of Computer Science and Technology Shanghai200063 China Nanjing University of Science and Technology School of Computer Science and Engineering Nanjing210094 China

The development of deep learning has led to increasing demands for computation and memory, making multi-chiplet accelerators a powerful solution. Multi-chiplet accelerators require more precise consideration of hardware configurations and mapping schemes in terms of computation, memory, and communication patterns compared to monolithic designs, in order to avoid underutilization of performance. However, there is currently a lack of performance testing methods specifically tailored for multi-chiplet accelerators. Existing testing methods primarily focus on correctness testing and do not address potential performance issues from a hardware perspective. To address these issues, this paper proposes Magnifier: A test case generation method for performance testing of multi-chiplet accelerators. Firstly, we analyze typical multi-chiplet accelerator prototype from the perspectives of computation, memory, and communication patterns, and summarize a chiplet feature-Aware operator task set. Next, we define the test evaluation metric IPPstd and use a candidate operator set to construct a sampling space for model-level test cases. Finally, we build a GAN to learn the distribution of high-diversity test cases, enabling the rapid generation of high-quality test cases. We validate the proposed method on both simulated and real multi-chiplet accelerators. Experiments show that Magnifier can improve the metric of test cases by up to 3.42 times and significantly reduce generation time, providing valuable insights for optimizing the hardware and software of multi-chiplet accelerators. © 1982-2012 IEEE.

关键词： Acceleration

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A privacy and compliance in regulated anonymous payment system based on blockchain

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Journal of Ambient Intelligence and Humanized Computing 2024年第8期15卷 3141-3157页

作者： Elfadul, Issameldeen Wu, Lijun Elhabob, Rashad Elkhalil, Ahmed School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu610054 China School of Computer and Information Engineering Qilu Institute of Technology Shandong Jinan250200 China Faculty of Computer Science and Information Technology Karary University Khartoum Sudan

Decentralized Anonymous Payment Systems (DAP), often known as cryptocurrencies, stand out as some of the most innovative and successful applications on the blockchain. These systems have garnered significant attention in the financial industry due to their highly secure and reliable features. Regrettably, the DAP system can be exploited to fund illegal activities such as drug dealing and terrorism. Therefore, governments are increasingly worried about the illicit use of DAP systems, which poses a critical threat to their security. This paper proposes Privacy and Compliance in Regulated Anonymous Payment System Based on Blockchain (PCRAP), which provides government supervision and enforces regulations over transactions without sacrificing the essential idea of the blockchain, that is, without surrendering transaction privacy or anonymity of the participants. The key characteristic of the proposed scheme is using a ring signature and stealth address to ensure the anonymity of both the sender and receiver of the transaction. Moreover, a Merkle Tree is used to guarantee government supervision and enforce regulations. Our proposed scheme satisfies most of the stringent security requirements and complies with the standards of secure payment systems. Additionally, while our work supports government regulations and supervision, it guarantees unconditional anonymity for users. Furthermore, the performance analysis demonstrates that our suggested scheme still remains applicable and effective even when achieving complete anonymity. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Blockchain

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Face Detection Based on Improved Multi-task Cascaded Convolutional Neural Networks

IAENG International Journal of Computer Science

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IAENG International Journal of computer science 2024年第2期51卷 67-74页

作者： Jia, Siyu Tian, Ying College of Computer and Software Engineering University of Science and Technology Liaoning Liaoning 114051 China School of Computer and Software Engineering University of Science and Technology Liaoning Liaoning 114051 China

With the development of deep learning and computer vision, face detection has achieved rapid progress owing. Face detection has several application domains, including identity authentication, security protection, media, and entertainment. Although multi-task cascaded convolutional neural networks (MTCNN) have high accuracy and robustness, the model has the disadvantages of large parameters and computational overhead in the real scene due to the complexity of the real scene and the constraints of hardware facilities. Therefore, the development of an improved network model is crucial. This paper improves the MTCNN model by reducing the number of parameters and the computational overhead and using better model parameters to locate the key points of the face. This model improves the accuracy and robustness of the face age estimation. The WiderFace and CelebA datasets are used for training. The final face detection accuracy reaches 98.7% while simultaneously reducing the number of model parameters to 70% under the same conditions. This model meets the application needs of modern society for face detection and demonstrates the efficiency and accuracy of the improved network model. © (2024), (International Association of Engineers). All Rights Reserved.

关键词： Face recognition

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Effect of Deformation Temperatures on Microstructure of AQ80 Magnesium Alloy under Repeated Upsetting-Extrusion

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Acta Metallurgica Sinica(English Letters) 2023年第10期36卷 1649-1664页

作者： Yutian Fan Liwei Lu Hongliang Zhao Zhiqiang Wu Yong Xue Wen Wang School of Materials Science and Engineering Hunan University of Science and TechnologyXiangtan411201China College of Materials Science and Engineering Zhengzhou UniversityZhengzhou450001China School of Material Science and Engineering North University of ChinaTaiyuan030051China School of Metallurgical Engineering National and Local Joint Engineering Research Center for Functional Materials ProcessingXi’an University of Architecture and TechnologyXi’an710055China

A new repeated upsetting-extrusion (RUE) process was proposed to improve the microstructure and the mechanical properties of Mg alloys. The effects of deformation temperature on the microstructure and microhardness of RUEed AQ80 Mg alloy were studied. The results showed that Mg alloy is subjected to sufficient corner shear deformation, upsetting deformation, and extrusion deformation, resulting in a large and uniformly distributed effective strain after RUE deformation. The microstructure is refined to an average grain size of 2.1 μm by the continuous dynamic recrystallization (CDRX) mechanism at 250 °C. As the temperature increases to 300 °C, the discontinuous dynamic recrystallization (DDRX) mechanism is activated and the average grain size is refined to 1.6 µm by the combined effect of CDRX and DDRX. In comparison to their parent grains, the orientations of the CDRXed grains show a clearly preferred orientation, but those of the DDRXed grains are completely different. At 350 °C, {10-12} extension twins appear in the microstructure, and the twinning-induced recrystallization (TDRX) mechanism plays an important role in grain refinement. With the two strengthening mechanisms of fine-grained strengthening and dislocation strengthening, the microhardness of the 250 °C sample is greatly improved, with an increase of about 35.1% compared to the initial sample.

关键词： AQ80 Mg alloy Repeated upsetting-extrusion Microstructure Microhardness

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