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16th International Conference on Service science, ICSS 2023

作者： He, Xu Fan, Xindi Zheng, Wanxi Ti, Ziming Li, Chunshan Zhang, Hua Zhou, Xuequan School of Computer Science and Technology Harbin Institute of Technology Weihai China School of Science Harbin Institute of Technology Weihai China School of Information Science and Engineering Harbin Institute of Technology Weihai China Research Center of Intelligent Computing for Enterprises & Services Harbin Institute of Technology Harbin China

ISBN: (纸本)9789819944019

Coronary heart disease (CHD) is a globally recognised, highly prevalent disease with a high risk of death and a low cure rate. The World Health Organization estimates that deaths from heart disease will reach 23 million by 2030. Therefore, it is imperative to find a fast and effective method for early diagnosis in order to provide patients with early intervention and improve the effectiveness of treatment. With the in-depth development of machine learning, the function of data analysis and prediction will efficiently help doctors to make a preliminary cluster for a large number of people and detect those who have a dangerous rate of developing coronary heart disease. In this paper, three data pre-processing methods, Smote, Borderline Smote and K-means Smote, were used to construct a risk prediction model for coronary heart disease (CHD) based on an unbalanced data set, combined with four algorithms, Logistic Regression, Random Forest, KNN and SVM. After analysing the data characteristics and adjusting the parameters, different combinations of these methods were compared and a better classification method was selected to predict CHD, achieving higher accuracy, precision, AUC and f1 score. Overall, through experiments, the random oversampling and SMOTE methods can effectively solve the data imbalance problem in most *** final training accuracy could be up to 99%, and the testing accuracy could reach 93%. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Patient treatment

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A novel perylene diimide-based ionene polymer and its mixed cathode interlayer strategy for efficient and stable inverted perovskite solar cells

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Journal of Energy Chemistry 2023年第7期82卷 334-342,I0008页

作者： Daizhe Wang Cong Kang Tengling Ye Dongqing He Shan Jin Xiaoru Zhang Xiaochen Sun Yong Zhang Department of Applied Chemistry School of Chemistry and Chemical EngineeringHarbin Institute of TechnologyHarbin 150001HeilongjiangChina CAS Key Laboratory of Renewable Energy Guangzhou Institute of Energy ConversionGuangzhou 510640GuangdongChina School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001HeilongjiangChina Institute of Advanced Technology Heilongjiang Academy of SciencesHarbin 150020HeilongjiangChina

Inverted(p-i-n)perovskite solar cells(PerSCs)have attracted much attention owing to their low temperature processability,less hysteresis effect and easy integration as a subunit for the tandem *** unsatisfactory interface contacts and energy level barrier between adjacent interlayers on the cathode side are one of the key challenges for the development of p-i-n ***,perylene diimidebased(PDI)ionene polymer was synthesized and developed as a cathode interlayer(CIL)to enhance interface contact,reduce the energy level barrier and prevent the migration of *** compact PNPDI CIL with high conductivity and appropriate lowest unoccupied molecular orbital(LUMO)level,resulted in a high efficiency device(20.03%),which is higher than the control device with bathophenanthroline(Bphen)(19.48%).Bphen-based CIL shows better adjusting ability of the work function of cathode metal but exhibits poor film-forming ***,the synergistic effect of 1+1>2 can be obtained by combining Bphen and PNPDI into one *** expected,the device performance was further improved by using the mixed CIL of Bphen and PNPDI,and 21.46%power conversion efficiency(PCE)was ***’s more,the compact and hydrophobic mixed CIL dramatically enhanced the resistance to I-ions and moisture,which led to much enhanced device stability.

关键词： Perylene diimide-based polymer Ionene Perovskite solar cells Interface engineeringCathode interlayer

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Dynamic model decomposition study on the influence of cutback surface length on the wake characteristics of turbine blades

Dynamic model decomposition study on the influence of cutbac...

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2024 International Conference on Aerospace and Mechanics, ICAM 2024

作者： Luo, Yuxi Wen, Fengbo Wang, Songtao Guo, Licheng School of Energy Science and Engineering Harbin Institute of Technology Harbin150001 China School of Astronautics Harbin Institute of Technology Harbin150001 China

The flow within a cascade of pressure-side cutback cooling blades with different cutback surface lengths is predicted using the unsteady numerical method. Dynamic Mode Decomposition (DMD) is used for flow field order reduction analysis. The relationship between varying cutback surface lengths and the wake dynamics is analyzed. The analysis shows that the shear layer behind the trailing edge and lip dominates the unsteady flow in the wake region. As the cutback surface length diminishes, an increase in the modal frequencies of both the lip shear layer and the wake shear layer is observed. As the cutback surface length is shortened, the shear layer behind the lip causes stronger oscillations in the shear layer behind the trailing edge, subsequently leading to an augmentation in the amplitude width of the wake mode across the transverse direction. © 2024 institute of Physics Publishing. All rights reserved.

关键词： Turbomachine blades

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Vision Transformers(ViT) Pretraining on 3D ABUS Image and Dual-CapsViT: Enhancing ViT Decoding via Dual-Channel Dynamic Routing

Vision Transformers(ViT) Pretraining on 3D ABUS Image and Du...

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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Xu, Mingwang Wang, Wei Wang, Kuanquan Dong, Suyu Sun, Pengzhong Sun, Jinwei Luo, Gongning Harbin Institute of Technology Faculty of Computing Harbin China Harbin Institute of Technology School of Computer Science and Technology Shenzhen China Northeast Forestry University College of Computer and Control Engineering Harbin China Harbin Institute of Technology School of Instrumentation Science and Engineering Harbin China

ISBN: (纸本)9798350337488

Breast cancer continues to be a pressing global health concern, emphasizing the essential need for effective diagnostic techniques. Automated Breast Ultrasound Systems (ABUS) provide a promising advance in breast tumor detection, yet they require significant expertise in interpreting 3D ABUS images, a task fraught with distinctive challenges. Although Vision Transformers (ViT) display remarkable potential for image processing, their low inductive bias and significant data requirements pose obstacles, particularly in the data-constrained medical field. To mitigate these issues, we introduce a Mask-Recover strategy for pretraining Transformer models on 3D ABUS images, enhancing model adaptability and reducing the data demands of the ViT model. Moreover, recognizing the risk that ViTs' average pooling approach may unintentionally mask small but vital features, we propose Dual-CapsViT, an inventive model combining Transformers and Capsule Networks. This integration affords efficient token routing while preserving fine-grained details. To reconcile potential inconsistencies between capsules and tokens, we engineer a novel dual-channel routing algorithm, strengthening the decoder's performance. We benchmarked our models against well-known standards such as ResNet and ViT for classifying breast tumors in ABUS images. Our models exhibited superior performance, as evidenced by improved accuracy, specificity, and Area Under the Receiver Operating Characteristic Curve (AUC) metrics, thereby affirming Dual-CapsViT's potential to enhance breast cancer diagnostics. © 2023 IEEE.

关键词： abus breast cancer capsule network classification vit

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Modeling and Numerical Verification of Insertion Characteristics for Heavy Duty By-Pass Switches

Modeling and Numerical Verification of Insertion Characteris...

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International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024

作者： Zhang, Chao Ren, Wanbin School of Electrical Engineering and Automation Harbin Institute of Technology Harbin150001 China School of Instrumentation Science and Engineering Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9789819620494

Heavy duty by-pass switches, consisting of canted coil spring structure, are indispensable in power electrical connection application with low contact resistance. Minimizing the contact resistance is a major issue in service reliability, which has been extensively investigated in the literature. The calculation of contact resistance is a very complicated process because of the determination of insertion force and resulted multiple irregular mechanical contact spots. In this work, an analytical model of the insertion force, contact force, contact area and contact resistance was developed. The results obtained from the proposed model were compared against those typically obtained from commercial FEA software COMSOL Multiphysics. The calculated insertion force agreed well with FEA, while the analytical model was more than five orders of magnitude faster. The proposed calculation method is beneficial for the canted coil spring design regarding the heavy duty by-pass switches. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Electric coils

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Understanding Brand's Association: Fine-Grained Multi-Modal Content Discovery for Brands 11

Understanding Brand's Association: Fine-Grained Multi-Modal ...

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11th IEEE International Conference on Behavioural and Social Computing, BESC 2024

作者： Qi, Shuhan Huang, Chengkai Li, Yifan School of Computer Science and Technology Harbin Institute of Technology Shenzhen Shenzhen China School of Computer Science and Engineering The University of New South Wales Sydney Australia

ISBN: (纸本)9798331531904

With the increasing popularity of short video plat-forms, the massive UGC provides high-quality materials for brand advertising. Recently, personalized content discovery methods have been proposed to recommend appropriate posts for brands to attract potential consumers. However, there are some drawbacks of them. Firstly, these methods only use images but ignore the multimodal information, which is not suitable for video-based brand advertising. Secondly, the generated features of brands are too coarse to distinguish the subtle differences from similar brands. In this paper, we propose a fine-grained multimodal content discovery (FGMCD) framework, which uses a large number of multimodal data to recommend informative videos for brands. Further, we designed a new hierarchical model, which adopts fine-grained features of different levels to make distinctions of similar brands exactly. We also collect a high-quality dataset with 50 car brands from Instagram and the experiments show the effectiveness of our method. © 2024 IEEE.

关键词： Content Discovery Multi-modal Recommendation Social Media Marketing

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RESEARCH ON THE DEGRADATION PROCESS AND FAILURE MECHANISM OF HIGH VOLTAGE DC CONTACTOR IN ELECTRICAL ENDURANCE EXPERIMENT 14

RESEARCH ON THE DEGRADATION PROCESS AND FAILURE MECHANISM OF...

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14th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2024

作者： Gu, Zhihao Wu, Chengchuang Zhang, Chao He, Yubin Ren, Wanbin School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China School of Instrumentation Science and Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)9781837242672

The longer electrical lifespan and higher reliability of high voltage DC (HVDC) contactors have always been the requirements of the power distribution system. This paper carries out an electrical endurance experiment of a typical HVDC contactor under resistive load. Firstly, the typical waveforms of the contact voltage and coil current during the operation process are tested and presented. Then, the degradation trends of featured parameters such as pick-up time, release time, arcing time and contact resistance are extracted and analyzed. It is determined that the pick-up time and release time are the sensitive featured parameters for characterizing the degradation process of the contactor. The relationship between release time and arcing time are investigated. Furthermore, based on the variation trends of the pick-up voltage and the release voltage, it is discovered that the degradation of the opposing force is the root cause for the decrease in pick-up time and the increase in release time. Finally, the possible degradation and failure mechanisms of HVDC contactors are analyzed. © The Institution of Engineering & technology 2024.

关键词： Pickups

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Numerical Investigation on Mechanical-Electrical-Thermal Characteristics of Contact Pairs with Rough Surface

Numerical Investigation on Mechanical-Electrical-Thermal Cha...

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International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024

作者： Wu, Chengchuang Zhou, Yu Zhang, Chao Ren, Wanbin School of Electrical Engineering and Automation Harbin Institute of Technology Harbin150001 China School of Instrumentation Science and Engineering Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9789819620494

Contact resistance and contact spot temperature rise directly determine the electrical contact reliability of electrical switches. This paper establishes an electrical contact simulation model which can take into account the surface morphology of contacts. The real contact spot morphology, contact spot temperature rise, and possible melting area are calculated and extracted using commercial software COMSOL Multiphysics. And the evolution of real contact area in the mechanical loading process is given in detail. Through simulation, the relationships between contact force, peak value of inrush current, and the temperature rise in the contact area were established. The experimental results demonstrate the feasibility of the proposed simulation method. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Enterprise software

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Relating microstructure to magnetocaloric properties in RE_(36)Tb_(20)Co_(20)Al_(24)(RE=Gd,Dy or Ho)high-entropy metallic-glass microwires designed by binary eutectic clusters method

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Journal of Materials science & technology 2023年第18期149卷 167-176页

作者： Hangboce Yin Jun-Qiang Wang Yongjiang Huang Hongxian Shen Shu Guo Hongbo Fan Juntao Huo Jianfei Sun School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001China CAS Key Laboratory of Magnetic Materials and Devices and Zhejiang Province Key Laboratory of Magnetic Materials and Application TechnologyNingbo Institute of Materials Technology&EngineeringChinese Academy of SciencesNingbo 315201China Center for Analysis Measurement and Computing Harbin Institute of TechnologyHarbin 150001China Space Environment Simulation Research Infrastructure Harbin Institute of TechnologyHarbin 150001China

The new high-entropy metallic-glasses(HE-MGs)are designed by using Dy and Ho to replace Gd in Gd_(36)Tb_(20)Co_(20)Al_(24)alloy based on the binary eutectic clusters *** with the equiatomic Gd 25 Tb 25 Co 25 Al 25 HE-MG,the non-equiatomic RE_(36)Tb_(20)Co_(20)Al_(24)(RE=Gd,Dy,or Ho)alloys show bet-ter glass-forming ability,which is attributed to the deep binary eutectic compositions used for alloy *** RE_(36)Tb_(20)Co_(20)Al_(24)alloys undergo second-order magnetic *** extreme peak value of magnetic entropy change is obtained as 10.3 J kg^(-1) K-1(5 T)for the Ho_(36)Tb_(20)Co_(20)Al_(24)***-situ high-energy synchrotron X-ray diffraction was conducted to observe the microstructural difference among non-equiatomic samples at cryogenic *** results indicate that Gd_(36)Tb_(20)Co_(20)Al_(24)alloy possesses a relatively large average value of the dispersion of local clusters at a low-temperature ***,com-bined with the critical exponentβclose to 0.5 of Gd_(36)Tb_(20)Co_(20)Al_(24)alloy,leads to its widest working temperature span among non-equiatomic *** work successfully establishes the connection be-tween microstructure and magnetocaloric properties of HE-MGs,which is beneficial for understanding the physical mechanism of the magnetocaloric behaviors of HE-MGs.

关键词： High-entropy metallic-glass Magnetocaloric effect High energy synchrotron X-ray diffraction Cryogenic temperature

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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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