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A new strategy for fabrication of unique heterostructured titanium laminates and visually tracking their synchronous evolution of strain partitions versus microstructure

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Journal of Materials science & technology 2022年第12期107卷 70-81页

作者： Hao Ding Xiping Cui Zhiqi Wang Tao Zhao Yuchen Wang Yuanyuan Zhang Hongtao Chen Lujun Huang Lin Geng Junfeng Chen School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001China Center for Analysis Measurement and ComputingHarbin Institute of TechnologyHarbin 150001China School of Materials Science and Engineering Harbin University of Science and TechnologyHarbin 150080China School of Materials Science and Engineering Fuzhou UniversityFuzhou 350116China

Heterostructured(HS)material with extraordinary mechanical properties has been regarded as one of the most promising structural ***,we reported a new strategy for preparing heterostructured pure titanium laminates that possess a good combination of strength and ductility by combining gradient structure(GS)and heterogeneous lamella structure(HLS).The deformation characteristic versus microstructure evolution of GS/HLS titanium laminates,namely the strain partitions between different-sized grains(480–25μm)was visualized using a scanning electron microscope(SEM)equipped with electron backscattered diffraction(EBSD)mode combined with the digital image correlation(SEM-DIC)with an ultrahigh spatial resolution for the first *** a result,the hetero-deformation of unique GS/HLS structure by the characteristic of strain partitions could be accurately *** the hetero-deformation could result in the hetero-deformation induced(HDI)stress strengthening and HDI hardening,which were regarded as the key reason that the resulting GS/HLS Ti laminates showed a superior combination of strength and *** could promote a more in-depth understanding of the strengtheningtoughening mechanism of heterostructured material.

关键词： Gradient structure Heterogeneous lamella structure Digital image correlation Strain partition

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DDA: Distillation-Driven Acceleration of the Reverse Diffusion Process for Stochastic Multi-Ship Trajectory Prediction

DDA: Distillation-Driven Acceleration of the Reverse Diffusi...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Ma, Kun Han, Qilong Yao, Jingzheng Wu, Changmao Zhang, Yuntao College of Computer Science and Technology Harbin Engineering University Harbin China Yantai Research Institute Harbin Engineering University Yantai China Institute of Software Chinese Academy of Sciences Beijing China College of Shipbuilding Engineering Harbin Engineering University Harbin China

ISBN: (纸本)9798350368741

Modeling stochastic multi-ship trajectories is vital for maritime safety and interaction efficiency. Recent researches show that diffusion models excel in trajectory prediction, surpassing GANs and VAEs in generation quality, diversity and stability. However, their slow sampling speed remains a major limitation, as producing high-quality trajectories typically requires hundreds of denoising steps. We introduce DDA, a novel method that accelerates multi-ship trajectory generation by distilling the reverse diffusion process, progressively reducing sampling steps by half while minimizing quality loss. We use CVAE-based encoder to map multimodal inputs into state embeddings in the latent space, and use distillation diffusion in the latent space to more quickly and better represent multi-ship trajectories. The diffusion model uses Transformer-based core, and we incorporate SO(2) invariance and equivariance to enhance model representation. Validation on real-world AIS datasets shows that the student model retains high-quality trajectory generation while sampling speed is approximately 30 times faster. © 2025 IEEE.

关键词： Accelerating Sampling AIS Diffusion Model Progressive Distillation VAE

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Texture adjustment approach of magnesium alloys via variable strain path calculated by an integrated finite element-viscoplastic self-consistent model

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Journal of Materials science & technology 2024年第17期184卷 15-31页

作者： Wenjie Wu Wenzhen Chen Xiaoyu Wang Wenke Wang Wencong Zhang Xinhua Liu Hyoung Seop Kim School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001China Key Laboratory for Advanced Materials Processing(MOE) Institute for Advanced Materials and TechnologyUniversity of Science and Technology BeijingBeijing 100083China Graduate Institute of Ferrous&Energy Materials Technology(GIFT) Pohang University of Science and Technology(POSTECH)Pohang 37673South Korea Advanced Institute for Materials Research(WPI-AIMR) Tohoku UniversitySendai 9808577Japan

An integrated calculated approach based on weakly coupled finite element(FEM)-viscoplastic selfconsistent(VPSC)model was established to simulate the texture evolution during the variable strain path extrusion process of magnesium *** spiral die extrusion(SDE)process with additional circumferential shear deformation was applied to investigate the effect of path control on texture adjustment and verify the accuracy of the *** results indicated that the additional spiral shear resulting from the overall inclined flow path effectively reduced the intensity of the{0002}//ED fiber texture by suppressing basal slip activation in the core area,while the local shear deformation along the spiral equal channel strain path led to the formation of an inclined{0002}//ND plane texture on the *** the modified Hall-Petch relationship,the correlation between texture and yield strength was ***,the weakening of the texture effectively suppressed{10-12}tensile twinning,which compensated for the deficiency of compressive yield strength without significantly sacrificing tensile yield strength,and thus improved the tension-compression ***,the strongly inclined{0002}//ND plane texture inhibited the widespread activation of basal slip during tensile yielding,thereby enhancing the yield strength.

关键词： Integrated calculated approach Strain path control Texture adjustment Spiral die extrusion Viscoplastic self-consistent

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Boosting cervical cancer detection with a multi-stage architecture and complementary information fusion

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Soft Computing 2025年第2期29卷 1191-1206页

作者： Sahoo, Pranab Saha, Sriparna Sharma, Saksham Kumar Mondal, Samrat Computer Science and Engineering Indian Institute of Technology Patna India Computer Science University of Maryland Baltimore CountyMD United States

Cervical cancer is one of the most fatal and prevalent illnesses affecting women globally. Early detection of cervical cancer is crucial for effective treatment. Pap smear tests are commonly used, but population-based screening is time-consuming, expensive, and requires expert physicians. computer-Aided Diagnosis (CAD) has shown promise in addressing this challenge. However, accurately predicting the disease using a single model can be difficult due to the complex data patterns involved. This research proposes a multi-stage architecture to improve cervical cancer screening. Initially, three pre-trained models are employed for image classification, after which the proposed advanced fusion technique is applied to combine the predictions. Additionally, we introduce a filtering approach in the third stage to refine the predictions. Unlike traditional fusion methods, the proposed architecture considers the confidence score of the base classifiers in making the final predictions on test samples. To enhance the performance of the models, we incorporate advanced augmentation techniques, including CutMix, CutOut, and MixUp. We assessed the performance of the proposed framework using a 5-fold cross-validation technique on two benchmark datasets. We evaluated the performance of the proposed framework through 5-fold cross-validation on two benchmark datasets. Remarkably, our framework achieved a classification accuracy of 97.62% and an F1-score of 97.64% on the SIPaKMeD dataset, demonstrating its effectiveness in accurately categorizing various cell types in the dataset. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Cervical cancer computer-aided detection Deep learning Ensemble learning

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Effect of salt bath temperature on microstructure and mechanical properties of an austempered alloyed cast iron

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China Foundry 2024年第6期21卷 709-716页

作者： Jie Zheng Ji-lin Li Sheng-feng Li Xiao-hui Tu Rui-xue Li Institute of Advanced Wear and Corrosion Resistant and Functional Materials Jinan UniversityGuangzhou 510632China Institute of New Materials Guangdong Academy of SciencesGuangzhou 510650China School of Materials Science and Engineering Harbin University of Science and TechnologyHarbin 150080China

An alloyed cast iron was prepared by horizontal continuous *** study the salt bath temperature on microstructure and mechanical properties,the alloyed cast iron was firstly austenitized at 950℃for 3 h and then austempered in salt bath at various temperatures(250℃,300℃and 350℃)for another 3 *** scanning electron microscopy(SEM),electron backscattered diffraction(EBSD),and X-ray diffraction(XRD)were employed to observe the microstructure and test the mechanical properties of the alloyed cast *** show that the microstructure of the alloyed cast iron is mainly composed of acicular or feathery ferrite(bainite),retained austenite,carbide,and *** austempered in salt bath at 250℃,300℃and 350℃for 3 h,the volume fractions of retained austenite are 33.1%,41.7%,and 57.2%,the thickness of acicular ferrite are 0.25μm,0.3μm,and 0.8μ*** the salt bath austempering temperature increases,the mechanical properties decrease due to the increase of the volume fraction of retained austenite and the thickness of acicular *** highest tensile strength of the alloyed cast iron is achieved when it is austempered at 250℃in a salt *** these conditions,the tensile strength of the alloyed cast iron can reach 1,429 *** test results indicate that the fracture mechanism is predominantly brittle fracture.

关键词： alloyed cast iron austempering treatment retained austenite microstructure mechanical properties

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Pedestrian wind flow prediction using spatial-frequency generative adversarial network

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Building Simulation 2024年第2期17卷 319-334页

作者： Pengyue Wang Maozu Guo Yingeng Cao Shimeng Hao Xiaoping Zhou Lingling Zhao School of Architecture and Urban Planning Beijing University of Civil Engineering and ArchitectureBeijing100044China Beijing Key Laboratory of Intelligent Processing for Building Big Data Beijing100044China School of Electrical and Information Engineering Beijing University of Civil Engineering and ArchitectureBeijing100044China School of Computer Science and Technology Harbin Institute of TechnologyHarbin150001China

Pedestrian wind flow is a critical factor in designing livable residential environments under growing complex urban *** pedestrian wind flow during the early design stages is essential but currently suffers from inefficiencies in numerical *** learning,particularly generative adversarial networks(GAN),has been increasingly adopted as an alternative method to provide efficient prediction of pedestrian wind ***,existing GAN-based wind flow prediction schemes have limitations due to the lack of considering the spatial and frequency characteristics of wind flow *** study proposes a novel approach termed SFGAN,which embeds spatial and frequency characteristics to enhance pedestrian wind flow *** the spatial domain,Gaussian blur is employed to decompose wind flow into components containing wind speed and distinguished flow edges,which are used as the embedded spatial *** information of wind flow is obtained through discrete wavelet transformation and used as the embedded frequency *** spatial and frequency characteristics of wind flow are jointly utilized to enforce consistency between the predicted wind flow and ground truth during the training phase,thereby leading to enhanced *** results demonstrate that SFGAN clearly improves wind flow prediction,reducing Wind_MAE,Wind_RMSE and the Fréchet Inception Distance(FID)score by 5.35%,6.52%and 12.30%,compared to the previous best method,*** also analyze the effectiveness of incorporating the spatial and frequency characteristics of wind flow in predicting pedestrian wind *** reduces errors in predicting wind flow at large error intervals and performs well in wake regions and regions surrounding *** enhanced predictions provide a better understanding of performance variability,bringing insights at the early design stage to improve pedestrian wind *** proposed spatial-frequen

关键词： pedestrian wind flow prediction generative adversarial network Gaussian kernel wavelet transform objective function

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Contact-reactive brazing mechanism of Al_(0.3)CoCrFeNi high-entropy alloys using a niobium interlayer

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Journal of Iron and Steel Research International 2024年第10期31卷 2546-2554页

作者： Yu Lei Yi-nan Li Xiao-guo Song Sheng-peng Hu Wei-min Long Hai-chuan Shi Zu-bin Chen School of Mechanical and Automotive Engineering Qingdao University of TechnologyQingdao266000ShandongChina State Key Laboratory of Precision Welding and Joining of Materials and Structures Harbin Institute of TechnologyHarbin150001HeilongjiangChina State Key Laboratory of Advanced Brazing Filler Metals and Technology Zhengzhou Research Institute of Mechanical EngineeringZhengzhou450001HenanChina School of Materials Science and Engineering Shanghai University of Engineering ScienceShanghai201620China Yantai Research Institute Harbin Engineering UniversityYantai264006ShandongChina

The contact-reactive brazing of Al_(0.3)CoCrFeNi high-entropy alloys with a Nb interlayer was *** effects of Nb thickness and brazing temperature on the interfacial microstructure and mechanical properties of Al_(0.3)CoCrFeNi joints were *** results show that with Nb thickness increasing from 10 to 100μm,the average width of Al_(0.3)CoCrFeNi joints is increased from 127 to 492μm and the erosion volume of Al_(0.3)CoCrFeNi base metals(BMs)by face-centered cubic-Nb eutectic liquid is enlarged *** increasing brazing temperature from 1280 to 1360℃,the intergranular penetration of eutectic liquid into Al_(0.3)CoCrFeNi BMs becomes more severe and lamellar Laves phase is broken-up and *** shear strength of joint is increased gradually from 374 to 486 MPa and then decreased to 475 *** maximum shear strength value of 486 MPa is obtained when brazing at 1340℃ for 10 min,reaching about 78% of the shear strength of Al_(0.3)CoCrFeNi ***,the brazing mechanism was analyzed in details.

关键词： Contact-reactive brazing High-entropy alloy Intergranular penetration Shear strength Mechanism

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Versatile BiFeO_(3) shining in piezocatalysis:From materials engineering to diverse applications

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Journal of Advanced Ceramics 2025年第3期14卷 1-27页

作者： Jian Dai Zhenhao Fan Hang Xie Yitao Jiao Fu Huang Ahmad Azmin Mohamad Yunfei Chang Yangke Long Dawei Wang School of Instrumentation Science and Engineering Harbin Institute of TechnologyHarbin 150080China Institute of Applied Physics and Materials Engineering University of MacaoAvenida da UniversidadeMacao 999078China Energy Materials Research Group(EMRG) School of Materials and Mineral Resources EngineeringUniversiti Sains MalaysiaNibong Tebal 14300Malaysia Zhengzhou Research Institute Harbin Institute of TechnologyZhengzhou 450046China Department of Transportation and Environment Shenzhen Institute of Information TechnologyShenzhen 518172China

The growing global demand for sustainable solutions to address energy and environmental challenges has spurred significant interest in catalytic *** has emerged as a sustainable technology for environmental remediation and energy conversion because of its unique characteristics of harvesting mechanical energy into electrochemical *** BiFeO_(3)(BFO)stands out among a range of piezocatalysts for its distinctive integration of piezoelectric,multiferroic,and optical *** review critically examines piezocatalytic mechanisms,including energy band theory,screening charge effects,and displacement current theory,revealing the intricate roles of internal charges,screening charges,and piezoelectric electrons in driving catalytic ***,the evolution of BFO-based piezocatalysis is systematically reviewed,emphasizing its structural characteristics,representative synthesis methods,performance optimization strategies,and diverse applications,such as organic pollutant degradation,H_(2) production,H_(2)O_(2)generation,CO_(2)reduction,and *** particular,the underestimated ferroelectric polarization effect of BFO on CO_(2)reduction is critically analyzed and *** review identifies critical challenges and outlines future research directions to advance high-efficiency BFO-based piezocatalytic ***,this comprehensive analysis underscores the potential of BFO in piezocatalysis,bridging materials engineering with practical applications and offering insights into future advancements.

关键词： BiFeO_(3)(BFO) piezocatalysis piezoelectric effect environmental remediation energy conversion

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Research on lightweight pavement disease detection model based on YOLOv7

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Journal of Intelligent and Fuzzy Systems 2024年第4期46卷 10573-10589页

作者： Wang, Chishe Li, Jun Wang, Jie Zhao, Weikang School of Computer Science and Engineering Anhui University of Science and Technology Huainan China Jinling Institute of Technology Nanjing China

Rapid urbanization has made road construction and maintenance imperative, but detecting road diseases has been time-consuming with limited accuracy. To overcome these challenges, we propose an efficient YOLOv7 road disease detection model. Our approach involves integrating MobilieNetV3 as the backbone feature extraction network to reduce the network's parameters and computational requirements. Additionally, we introduce the BRA attention module into the spatial pyramid pooling module to eliminate redundant information and enhance the network's feature representation capability. Moreover, we utilize the F-ReLU activation function in the backbone network, expanding the convolutional layers' receptive field range. To optimize the model's boundary loss, we employ the Wise-IoU loss function, which places more emphasis on the quality of ordinary samples and enhances the overall performance and generalization ability of the network. Experimental results demonstrate that our improved detection algorithm achieves a higher recall rate and mean average precision (mAP) on the public dataset (RDD) and the NJdata dataset in Nanjing's urban area. Specifically, compared to YOLOv7, our model increases the recall rate and mAP on RDD by 3.3% and 2.6%, respectively. On the NJdata dataset, our model improves the recall rate and mAP by 1.9% and 1.3%, respectively. Furthermore, our model reduces parameter and computational requirements by 30% and 22.5%, respectively, striking a balance between detection accuracy and speed. In conclusion, our road disease detection model presents an effective solution to address the challenges associated with road disease detection in urban areas. It offers improved accuracy, efficiency, and generalization capabilities compared to existing models. © 2024 - IOS Press. All rights reserved.

关键词： Roads and streets

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FIAC: fine-grained access control mechanism for cloud based IoT framework

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International Journal of Grid and Utility Computing 2025年第3期16卷 269-278页

作者： Chaudhury, Bhagwat Prasad Dhal, Kasturi Pattnaik, Srikanta Nayak, Ajit Kumar Department of Computer Science and Engineering Silicon Institute of Technology Odisha Bhubaneswar India Department of Computer Science and Engineering S‘O’A University Odisha Bhubaneswar India

Cloud computing technology provides various computing resources on demand to users on pay per use basis. The technology fails in terms of its usage due to confidentiality and privacy issues. Access control mechanisms are the tools to prevent unauthorized access to remotely stored data. Cipher Text Policy Attribute-based Encryption (CPABE) is a widely used tool for facilitating authorised users to access the remotely stored encrypted data with fine-grained access control. In the proposed model FIAC, access control mechanism is embedded in cloud-based application. The major contribution of this work is the design of three algorithms all of which are attribute based: Key Generation algorithm, and Encryption and Decryption algorithms. Only authorised users can view them to take appropriate action plans. To enhance security of the cloud-based monitoring system, we have embedded a security scheme, all of which are attribute based. Further, the computation time of the model is found to be encouraging so that it can be used in low power devices. The experimental outcomes establish the usability of our model. Copyright © 2025 Inderscience Enterprises Ltd.

关键词： Authentication

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