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A Software Defect Prediction Method Using a Multivariate Heterogeneous Hybrid Deep Learning Algorithm

computers, Materials & Continua 2025年第2期82卷 3251-3279页

作者： Qi Fei Haojun Hu Guisheng Yin Zhian Sun College of Computer Science and Technology Harbin Engineering UniversityHarbin150001China Information Technology Research Department Jiangsu Automation Research InstituteLianyungang222062China School of Computer Science and Technology Harbin Institute of TechnologyShenzhen518055China

Software defect prediction plays a critical role in software development and quality assurance processes. Effective defect prediction enables testers to accurately prioritize testing efforts and enhance defect detection efficiency. Additionally, this technology provides developers with a means to quickly identify errors, thereby improving software robustness and overall quality. However, current research in software defect prediction often faces challenges, such as relying on a single data source or failing to adequately account for the characteristics of multiple coexisting data sources. This approach may overlook the differences and potential value of various data sources, affecting the accuracy and generalization performance of prediction results. To address this issue, this study proposes a multivariate heterogeneous hybrid deep learning algorithm for defect prediction (DP-MHHDL). Initially, Abstract Syntax Tree (AST), Code Dependency Network (CDN), and code static quality metrics are extracted from source code files and used as inputs to ensure data diversity. Subsequently, for the three types of heterogeneous data, the study employs a graph convolutional network optimization model based on adjacency and spatial topologies, a Convolutional Neural Network-Bidirectional Long Short-Term Memory (CNN-BiLSTM) hybrid neural network model, and a TabNet model to extract data features. These features are then concatenated and processed through a fully connected neural network for defect prediction. Finally, the proposed framework is evaluated using ten promise defect repository projects, and performance is assessed with three metrics: F1, Area under the curve (AUC), and Matthews correlation coefficient (MCC). The experimental results demonstrate that the proposed algorithm outperforms existing methods, offering a novel solution for software defect prediction.

关键词： Software defect prediction multiple heterogeneous data graph convolutional network models based on adjacency and spatial topologies CNN-BiLSTM TabNet

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A promising approach to enhance fatigue life of TC11 titanium alloy:Low dislocation density and surface grain refinement induced by electropulsing

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材料科学技术（英文版） 2025年第1期204卷 60-70页

作者： Xiuwen Ren Zhongjin Wang Ruidong An School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001China National Key Laboratory for Precision Hot Processing of Metals Harbin Institute of TechnologyHarbin 150001China

The fatigue life of components can be significantly enhanced by the formation of the surface hardness layer through surface strengthening *** avoid the geometric distortion of thin-walled com-ponents caused by strengthening,the strengthening energy is limited and the ideal strengthening effect cannot be *** work aims to propose a novel approach to address this issue *** surface layer with high-density dislocations was obtained by a low-energy surface strengthening method(shot peening)at *** the surface strengthening mechanism changes from dislocation strengthen-ing to grain boundary strengthening after electropulsing treatment(EPT).The evolution of residual stress and microstructure was analyzed using multi-scale characterization *** results demonstrate that EPT followed by surface strengthening makes a remarkable 304％increase in fatigue life of TC11 titanium *** enhancement of fatigue life can be attributed to the grain refinement accompanied by the formation of nanotwins and sub-grains in the surface-strengthened layer,as well as the reduction in dislocation density within the substrate after *** study demonstrates the significant potential of EPT in further enhancing the fatigue life of surface pre-strengthened thin-walled components.

关键词： Titanium alloy Electropulsing Surface strengthening Fatigue performance Dislocation density Surface grain refinement

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Aerodynamic Performance Analysis on Blade Snubber with Bionic Structure

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Journal of Thermal science 2025年第2期34卷 579-589页

作者： LIU Yunfeng YAN Han DU Wei ZHANG Hongtao LI Yufeng WEN Fengbo ZHOU Xun School of Energy Science and Engineering Harbin Institute of TechnologyHarbin150041China Harbin Turbine Company Limited Harbin150046China

The utilization of a part-span connector(PSC)has the potential to enhance the blade frequency,but with the penalty of aerodynamic *** this study,we numerically investigate the aerodynamic performance of two types of bionic structure snubbers:(1)Harbor seal whisker(HSW)and(2)Atropus's body shape(ABS).The investigation is conducted by solving the three-dimensional Reynolds-Averaged Navier-Stokes(RANS)equations and utilizing the SST turbulent *** this study,the performance impact of classical snubbers on a cascade blade has been examined by modeling it with and without an ellipse-shaped *** vortex induced by the snubber predominantly manifests on the suction side and can be categorized into three primary vortices:upper,lower,and *** upper and lower vortices serve as the primary contributors to *** to the conventional ellipse snubber,the ABS snubber exhibits a reduction in the total pressure loss coefficient by 0.11%and an increase in the mass flow rate by 0.41%.On the contrary,the implementation of the HSW snubber has the potential to mitigate parameter ***,it is important to note that this comes at the cost of a 0.10%increase in the total pressure loss coefficient and a 0.20%decrease in mass flow *** article further examines the factors contributing to these disparities.

关键词： bionic structure turbine blade snubber aerodynamic performance

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A review on multi-scale structure engineering of carbon-based electrode materials towards dense energy storage for supercapacitors

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Journal of Energy Chemistry 2025年第3期102卷 768-799页

作者： Dongyang Wu Fei Sun Min Xie Hua Wang Wei Fan Jihui Gao Guangbo Zhao Shaoqin Liu School of Energy Science and Engineering Harbin Institute of TechnologyHarbin 150001HeilongjiangChina National Innovation Platform for Industry-Education Integration of Energy Storage Technology Harbin 150001HeilongjiangChina Harbin Electric Science and Technology Co. LtdHarbin 150080HeilongjiangChina Micro-and Nanotechnology Research Center School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150080HeilongjiangChina

Improving the volumetric energy density of supercapacitors is essential for practical applications,which highly relies on the dense storage of ions in carbon-based *** functional units of carbon-based electrode exhibit multi-scale structural characteristics including macroscopic electrode morphologies,mesoscopic microcrystals and pores,and microscopic defects and dopants in the carbon basal ***,the ordered combination of multi-scale structures of carbon electrode is crucial for achieving dense energy storage and high volumetric performance by leveraging the functions of various scale structu *** that previous reviews have focused more on the discussion of specific scale structu re of carbon electrodes,this review takes a multi-scale perspective in which recent progresses regarding the structureperformance relationship,underlying mechanism and directional design of carbon-based multi-scale structures including carbon morphology,pore structure,carbon basal plane micro-environment and electrode technology on dense energy storage and volumetric property of supercapacitors are systematically *** analyzed in detail the effects of the morphology,pore,and micro-environment of carbon electrode materials on ion dense storage,summarized the specific effects of different scale structures on volumetric property and recent research progress,and proposed the mutual influence and trade-off relationship between various scale *** addition,the challenges and outlooks for improving the dense storage and volumetric performance of carbon-based supercapacitors are analyzed,which can provide feasible technical reference and guidance for the design and manufacture of dense carbon-based electrode materials.

关键词： Supercapacitors Carbon-based electrodes Volumetric performances Multi-scale structure Dense energy storage

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Effects of La and Ce on the microstructure,thermal conductivity and strength synergy of the as-extruded Mg-Mn-RE alloys

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Journal of Magnesium and Alloys 2025年第2期13卷 654-667页

作者： Huafeng Liu Taiki Nakata Chao Xu Guangze Tang Danyang Li Xiaojun Wang Guisong Wang Shigeharu Kamado Lin Geng State Key Laboratory of Precision Welding&Joining of Materials and Structures Harbin Institute of TechnologyHarbin150001PR China School of Materials Science and Engineering Harbin Institute of TechnologyHarbin150001PR China Department of Mechanical Engineering Nagaoka University of TechnologyNagaoka940-2188Japan Laboratory for Space Environment and Physical Sciences Harbin Institute of TechnologyHarbin150001PR China School of Physics Harbin Institute of TechnologyHarbin150001PR China

High thermal conductivity and high strength Mg-1.5Mn-2.5Ce alloy with a tensile yield strength of 387.0 MPa,ultimate tensile strength of 395.8 MPa,and thermal conductivity of 142.1 W/(m·K)was successfully fabricated via hot *** effects of La and Ce additions on the microstructure,thermal conductivity,and mechanical properties of the Mg-1.5Mn alloy were *** results indicated that both the as-extruded Mg-1.5Mn-2.5La and Mg-1.5Mn-2.5Ce alloys exhibited a bimodal grain structure,with dynamically precipitated nano-scaleα-Mn *** comparison with La,the addition of Ce enhanced the dynamic precipitation more effectively during hot extrusion,while its influence on promoting the dynamic recrystallization was relatively *** high tensile strength obtained in the as-extruded Mg-1.5Mn-2.5RE alloys can be attributed to the combined influence of the bimodal grain structure(with fine dynamic recrystallized(DRXed)grain size and high proportion of un-dynamic recrystallized(unDRXed)grains),dense nano-scale precipitates,and broken Mg12RE phases,while the remarkable thermal conductivity was due to the precipitation of Mn-rich phases from the Mg matrix.

关键词： Mg-Mn-RE alloys Thermal conductivity Mechanical properties Dynamic precipitation

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High strength-ductility synergy in refractory multi-principal element alloys via special deformation mechanisms and dislocation behaviors

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Rare Metals 2025年第1期44卷 608-622页

作者： Zhi-Wen Li Bao-Xian Su Liang Wang Chen Liu Zhe Li Qing-Da Zhang Bin-Bin Wang Xiang Xue Rui-Run Chen Yan-Qing Su National Key Laboratory for Precision Hot Processing of Metals School of Materials Science and EngineeringHarbin Institute of TechnologyHarbin150001China Zhengzhou Research Institute Harbin Institute of TechnologyZhengzhou450000China Laboratory for Space Environment and Physical Sciences Harbin Institute of TechnologyHarbin150001China

Ti-Zr-Nb refractory multi-principal element alloys(RMPEAs)have attracted increased attention due to their excellent mechanical *** this study,(TiZr)_(80-x)Nb_(20)Mo_(x)(x=0,5 and 10)alloys were designed,and the intrinsic conflicts between strength and ductility were overcome via composition optimization and *** causes of the superior strength-ductility synergy were investigated in terms of their deformation mechanism and dislocation *** results show that the strength improvement can be attributed to the deformation mechanism transition caused by local chemical fluctuations and lattice ***,the slip band widths decrease after Mo addition,and the measured slip traces in the fracture samples are associated with high-order{112}and{123}slip ***,the grain refinement achieved via recrystallization promotes multi-slip system activation and shortens the slip-band spacing,which reduces the stress concentration and inhibits crack source formation,thereby allowing the alloy to ensure sufficient ***,the Ti_(35)Zr_(35)Nb_(20)Mo_(10)alloy annealed at 900℃ exhibits high yield strength and *** findings provide a new strategy for designing high-strength RMPEAs and addressing room-temperature brittleness.

关键词： Refractory multi-principal element alloy Mechanical property Strengthening mechanism Deformation substructure Dislocation behavior

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Tailoring Na-ion flux homogenization strategy towards long-cycling and fast-charging sodium metal batteries

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Journal of Energy Chemistry 2025年第3期102卷 516-523页

作者： Lin Zhou Shengwei Dong Zhuomin Qiang Chaoqun Zhang Anran Shi Yanbin Ning Ziwei Liu Cong Chen Yan Zhang Dalong Li Shuaifeng Lou School of Marine Science and Technology Harbin Institute of Technology at WeihaiWeihai 264209ShandongChina State Key Laboratory of Space Power-Sources School of Chemistry and Chemical EngineeringHarbin Institute of TechnologyHarbin 150001HeilongjiangChina

Sodium metal batteries(SMBs)are promising candidates for next-generation energy storage devices owing to their excellent safety performance and natural abunda nce of ***,the insurmountable obstacles of dendrite formation and quick capacity decay are caused by an unstable and inhomogeneous solid electrolyte interphase that resulted from the immediate interactions between the Na metal anode and organic liquid ***,a customised glass fibre separator coupled with chitosan(CS@GF)was developed to modulate the sodium ion(Na^(+))*** CS@GF separator facilitates the Na+homogeneous deposition on the anode side through redistribution at the chitosan polyactive sites and by inhibiting the decomposition of the electrolyte to robust solid electrolyte interphase(SEI)*** simulations show that chitosan incorporated into SMBs through the separator can make the local electric field around the anode uniform,thus facilitating the transfer of ***|Na symmetric cells utilising a CS@GF separator exhibited an outstanding cycle stability of over 600 h(0.5 mA cm^(-2)).Meanwhile,the Na|Na_(3)V_(5)(PO_(4))_(3)full cell exhibited excellent fast-charging performance(93.47%capacity retention after 1500 cycles at 5C).This study presents a promising strategy for inhibiting dendrite growth and realizes stable Na metal batteries,which significantly boosts the development of high-performance SMBs.

关键词： Sodium metal battery Nat homogeneous deposition Chitosan-modified separators Fast charging

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Single-pixel diffractive imaging via regularized complex-amplitude retrieval

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Optics Letters 2025年第5期50卷 1465-1468页

作者： Huang, Guancheng Shuai, Yong Liu, Zhengjun Li, Ziyang Qiao, Ziling Li, Qi Wu, Zhengyu Liu, Shutian Li, Yutong School of Physics Harbin Institute of Technology Harbin150001 China School of Energy Science and Engineering Harbin Institute of Technology Harbin150001 China

For high-fidelity single-pixel complex-amplitude measurement, we implement robust and regularized wavefront separation by integrating multi-distance correlated reconstruction with constrained alternating projection retrievals. An adaptive dynamic weighting mechanism for group-wise wavefront updates further reinforces the stability and accuracy of imaging convergence. Additionally, a compressed phase retrieval driven by sparsity priors markedly optimizes efficiency by enabling wavefront reconstruction with single-frame diffraction. The proposed method allows flexible imaging with different-frame diffraction, promising it as a plug-and-play solution for high-fidelity single-pixel complex-field detection. © 2025 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.

关键词： Wavefronts

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Pixel2Pixel: A Pixelwise Approach for Zero-Shot Single Image Denoising

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IEEE Transactions on Pattern Analysis and Machine Intelligence 2025年第06期47卷 4614-4629页

作者： Ma, Qing Jiang, Junjun Zhou, Xiong Liang, Pengwei Liu, Xianming Ma, Jiayi Harbin Institute of Technology School of Computer Science and Technology Harbin150001 China Wuhan University Electronic Information School Wuhan430072 China

We propose Pixel2Pixel, a novel zero-shot image denoising framework that leverages the non-local self-similarity of images to generate a large number of training samples using only the input noisy image. This framework employs a compact convolutional neural network architecture to achieve high-quality image denoising. Given a single observed noisy image, we first aim to obtain multiple images with different noise versions. We ensure that the content remains as consistent as possible with the true signal of the noisy image while keeping the noise independent. Specifically, we construct a pixel bank tensor, where each pixel consists of the most similar pixels from the non-local region of the noisy image. Then, multiple training samples, also known as pseudo instances, can be derived from the pixel bank by randomly pixel sampling. By harnessing pixel-wise random sampling, Pixel2Pixel generates a large number of training pseudo instances, thus avoiding reliance on specific training data. In addition, this non-local pixel selection and random sampling strategy helps to break down the spatial correlation of real-world noise as well. Since the proposed method does notrequire accurate priors on the noise distribution and clean training images, it is suitable for a wide range of noise types and different noise levels, exhibiting strong generalization ability, especially in real noisy scenes. Extensive experiments across various noise types show that Pixel2Pixel outperforms existing methods. © 2025 IEEE. All rights reserved.

关键词： Convolutional neural networks

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Synergistic improvement of the mechanical and biological performance of Si_(3)N_(4) by incorporating nanostructured graphene

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Journal of Advanced Ceramics 2025年第2期14卷 141-150页

作者： Zhe Zhan Bin Deng Yanru Chen Xinghong Zhang Jinzhu Song School of Life Science and Technology Harbin Institute of TechnologyHarbin 150001China Department of Stomatology the First Medical CenterChinese PLA General HospitalBeijing 100853China Center for Composite Materials and Structures Harbin Institute of TechnologyHarbin 150001China

Achieving synergy between mechanical and biological performance has long been a challenge in developing silicon nitride (Si_(3)N_(4)) as a bone regeneration implant material. In this study, a nanostructured graphene-toughened Si_(3)N_(4) composite (Si_(3)N_(4)–G) was prepared, and the mechanical and biological properties of the resulting Si_(3)N_(4)–G composite were compared with those of Si_(3)N_(4) ceramics without graphene addition. The incorporation of nanostructured graphene substantially improves the mechanical properties of Si_(3)N_(4). Furthermore, the nanoscale thickness of graphene enhances antibacterial activity through a “cutting” effect, while its high specific surface area promotes cell adhesion, activating mechanosensitive pathways linked to osteogenic differentiation. This work provides new insights into the potential applications of Si_(3)N_(4)-based bio-ceramics in bone tissue engineering.

关键词： silicon nitride(Si_(3)N_(4)) graphene(G) mechanical properties biocompatibility

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