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Observation of Enhanced Faraday Effect in Eu-Doped Ce:YIG Thin Films

Chinese Physics Letters 2023年第12期40卷 155-159页

作者：张晗旭朱森寅湛劲王先杰王一姚泰 N.I.Mezin 宋波 School of Physics Harbin Institute of TechnologyHarbin 150001China National Key Laboratory of Science and Technology on Advanced Composites in Special Environments Harbin Institute of TechnologyHarbin 150001China A.A.Galkin Donetsk Institute for Physics and Engineering Rosa Luxemburg Str.7283114 DonetskUkraine Zhengzhou Research Institute Harbin Institute of TechnologyZhengzhou 450046China Frontiers Science Center for Matter Behave in Space Environment Harbin Institute of TechnologyHarbin 150001China

Ce:YIG thin films are taken as an ideal candidate for magneto-optical devices with giant Faraday effect in the near-infrared range,but it is hindered by a limited Ce^(3+)/Ce^(4+)ratio and a high saturation driving *** address this issue,Eu doping can increase the Faraday rotation angle by ~40% to 1.315×10^(4)deg/cm and decrease the saturation driving field by ~38%to 1.17 kOe in Eu_(0.75)Ce_(1)Y_(1.25)Fe_(5)O_(12 )compared to Ce_(1)Y_(2)Fe_(5)O_(12)*** mechanism is attributed to the conversion of Ce^(4+)to Ce^(3+)and the weakening of ferrimagnetism by Eu *** work not only provides strategies for improving Ce^(3+)/Ce^(4+) ratio in Ce:YIG,but also develops(Eu,Ce):YIG with a promising Faraday rotation angle for magneto-optical devices.

关键词： Faraday field YIG

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Towards Evaluating the Robustness of Adversarial Attacks Against Image Scaling Transformation

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Chinese Journal of Electronics 2023年第1期32卷 151-158页

作者： ZHENG Jiamin ZHANG Yaoyuan LI Yuanzhang WU Shangbo YU Xiao School of E-Business and Logistics Beijing Technology and Business University School of Computer Science and Technology Beijing Institute of Technology School of Computer Science and Technology Shandong University of Technology

The robustness of adversarial examples to image scaling transformation is usually ignored when most existing adversarial attacks are proposed. In contrast, image scaling is often the first step of the model to transfer various sizes of input images into fixed ones. We evaluate the impact of image scaling on the robustness of adversarial examples applied to image classification *** set up an image scaling system to provide a basis for robustness evaluation and conduct experiments in different situations to explore the relationship between image scaling and the robustness of adversarial examples. Experiment results show that various scaling algorithms have a similar impact on the robustness of adversarial examples,but the scaling ratio significantly impacts it.

关键词： Perturbation methods Solids Robustness Classification algorithms Task analysis Image classification

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Investigating the impacts of spatial-temporal variation features of air density on assessing wind power generation and its fluctuation in China

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science China(Technological sciences) 2023年第6期66卷 1797-1814页

作者： REN GuoRui WANG Wei WAN Jie HONG Feng YANG Ke YU DaRen School of Control and Computer Engineering North China Electric Power UniversityBeijing 102206China School of Electrical Engineering and Automation Harbin Institute of TechnologyHarbin 150001China Xi’an Thermal Power Research Institute Co. Ltd.Xi’an 710054China School of Energy Science and Engineering Harbin Institute of TechnologyHarbin 150001China

Air density plays an important role in assessing wind *** density significantly fluctuates both spatially and *** literature typically used standard air density or local annual average air density to assess wind *** present study investigates the estimation errors of the potential and fluctuation of wind resource caused by neglecting the spatial-temporal variation features of air density in *** air density at 100 m height is accurately calculated by using air temperature,pressure,and *** spatial-temporal variation features of air density are firstly *** the wind power generation is modeled based on a 1.5 MW wind turbine model by using the actual air density,standard air densityρst,and local annual average air densityρsite,***ρstoverestimates the annual wind energy production(AEP)in 93.6%of the study *** significantly affects AEP in central and southern China *** more than 75%of the study area,the winter to summer differences in AEP are underestimated,but the intra-day peak-valley differences and fluctuation rate of wind power are ***ρsitesignificantly reduces the estimation error in *** AEP is still overestimated(0-8.6%)in summer and underestimated(0-11.2%)in *** for southwest China,it is hard to reduce the estimation errors of winter to summer differences in AEP by usingρ***ρsitedistinctly reduces the estimation errors of intra-day peak-valley differences and fluctuation rate of wind power,but these estimation errors cannot be ignored as *** impacts of air density on assessing wind resource are almost independent of the wind turbine types.

关键词： air density spatial-temporal variation power curve wind resource assessment fluctuation ERA-5

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Effects of Blending Ratio on Combustion and NO Emission Characteristics during Co-Firing of Semi-Char and Lignite in a 350 kW Pulverized Coal-Fired Furnace

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Journal of Thermal science 2023年第3期32卷 1292-1305页

作者： YAN Yonghong PENG Zhengkang SUN Liutao CHEN Dengke SUN Rui College of Electrical and Power Engineering Taiyuan University of TechnologyTaiyuan 030024China School of Energy Science and Engineering Harbin Institute of TechnologyHarbin 150001China

The influence of the blending ratio of pyrolyzed semi-char(SC)on the ignition,NO emission and burnout characteristics of lignite co-fired with SC was investigated in a 350 kW fuel-rich/lean combustion *** flame temperature and concentrations of gaseous species including O_(2),CO,and NO,were measured in *** results indicated that the ignition characteristics of the blended fuel worsened with increasing SC blending ratio,such as an elongated ignition standoff *** addition of SC to lignite delayed the appearance of a stable flame boundary,and the stable combustion zone moved down,but the final combustion stability was gradually strengthened in the later combustion *** emission concentration at the primary combustion zone(PCZ)outlet was the lowest at 472.6 mg/m^(3)@6%O_(2)when the SC blending ratio was 25%.The combustion zone and reducing zone areas in PCZ were defined to evaluate the NO reduction characteristics,and quantitative analysis using a multiple linear regression model showed that heterogeneous reduction was more important than homogeneous reduction in lowering NO *** Raman spectrum of the char sample indicated that the addition of lignite promoted the formation of small aromatic rings in the early ignition stage,corresponding to a higher char *** burnout ratio of pure lignite was maximal and was decreased by increasing the SC blending ***,considering the ignition standoff distance,NO emission,and burnout ratio,the optimum SC blending ratio was estimated to be 25%.

关键词： co-firing blending ratio ignition characteristics NO emission burnout ratio

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Two-view attention-guided convolutional neural network for mammographic image classification

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CAAI Transactions on Intelligence technology 2023年第2期8卷 453-467页

作者： Lilei Sun Jie Wen Junqian Wang Yong Zhao Bob Zhang Jian Wu Yong Xu College of Computer Science and Technology Guizhou UniversityGuiyangChina Shenzhen Key Laboratory of Visual Object Detection and Recognition Harbin Institute of TechnologyShenzhenChina Harbin Institute of Technology ShenzhenChina School of Electronic and Computer Engineering Shenzhen Graduate School of Peking UniversityShenzhenChina Department of Computer and Information Science University of MacaoTaipaChina Science for Life Laboratory KTH Royal Institute of TechnologyStockholmSweden

Deep learning has been widely used in the field of mammographic image classification owing to its superiority in automatic feature ***,general deep learning models cannot achieve very satisfactory classification results on mammographic images because these models are not specifically designed for mammographic images and do not take the specific traits of these images into *** exploit the essential discriminant information of mammographic images,we propose a novel classification method based on a convolutional neural ***,the proposed method designs two branches to extract the discriminative features from mammographic images from the mediolateral oblique and craniocaudal(CC)mammographic *** features extracted from the two-view mammographic images contain complementary information that enables breast cancer to be more easily ***,the attention block is introduced to capture the channel-wise information by adjusting the weight of each feature map,which is beneficial to emphasising the important features of mammographic ***,we add a penalty term based on the fuzzy cluster algorithm to the cross-entropy function,which improves the generalisation ability of the classification model by maximising the interclass distance and minimising the intraclass distance of the *** experimental results on The Digital database for Screening Mammography INbreast and MIAS mammography databases illustrate that the proposed method achieves the best classification performance and is more robust than the compared state-ofthe-art classification methods.

关键词： convolutional neural network deep learning medical image processing mammographic image

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Dronedarone's Efficacy in Preventing Arrhythmias During Myocardial Ischemia or Short QT Syndrome: A Computational Study 50

Dronedarone's Efficacy in Preventing Arrhythmias During Myoc...

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50th Computing in Cardiology, CinC 2023

作者： Lyu, Li Wang, Wei Lin, Yuxin Wang, Kuanquan Harbin Institute of Technology Harbin China School of Computer Science and Technology Harbin Institute of Technology Harbin150001 China Harbin Institute of Technology Shenzhen China

ISBN: (纸本)9798350382525

The mechanisms underlying dronedarone's role in the genesis of cardiac arrhythmias remain unclear under relevant pathological conditions such as the myocardial ischemia condition and the short QT Syndrome condition. This study aims to provide a deeper understanding of dronedarone's therapeutic potential, particularly in the context of myocardial ischemia-induced arrhythmias or KCNJ2 D172N mutation-induced short QT syndrome (SQT3). Simulation results suggest that under the SQT3 condition, dronedarone produced a significant prolongation of the action potential duration with the concentrations of dronedarone increased. In contrast, the ability of high concentrations of amiodarone to prolong the action potential duration was actually worse than low concentrations. The maximal slopes of action potential duration restitution curve and effective refractory period restitution curve were decreased in the presence of dronedarone or amiodarone, which decreased instability of re-entrant excitation waves, indicating antiarrhythmic effects of dronedarone and amiodarone on D172N mutation. Significant differences exist in the frequency and concentration-dependent effects between amiodarone and dronedarone. Our results provide possible explanations for the efficacy of dronedarone and amiodarone. © 2023 CinC.

关键词： Ketones

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Electromagnetic three-dimensional vibration energy harvester based on an oblique cross-spring vibrator structure

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science China(Technological sciences) 2025年第1期68卷 185-202页

作者： Yaohui AN Yimin FAN Kefan XU Yuhao CHEN Yewei ZHANG Liqun CHEN School of Science Harbin Institute of TechnologyShenzhen 518055China College of Aerospace Engineering Shenyang Aerospace UniversityShenyang 110136China

This paper presents an electromagnetic three-dimensional vibration energy harvesting device that uses an oblique cross-spring vibrator structure to collect low-frequency vibration *** oblique cross-spring structure allowed the center vibrator to vibrate in any *** with six-directional coils,this configuration senses and harvests environmental vibrations across all directions and ***,the dynamics of the oblique cross-spring vibrator structure were analyzed and a finite element simulation was performed for the magnet arrangement and mode shape of the structure.A prototype is designed,fabricated,and experimentally *** results showed that the efficiency of the three-dimensional energy output was higher under the same excitation,which was 2.7 times higher than that of the unidirectional *** unidirectional output power with load is 0.94 mW at 11 Hz under 0.3 g base *** highest total output power of the prototype was 50 mW when it was fixed to the leg at a running speed of 8 km/***,the energy harvesting scheme proposed in this study has a considerable low-frequency output effect,which provides a novel means of improving the electrical performance of energy harvesting systems for self-powered IoT and sensor devices.

关键词： energy harvesting electromagnetic three-dimensional oblique cross-spring human motion

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Fuzzy-Model-Based Finite Frequency Fault Detection Filtering Design for Two-Dimensional Nonlinear Systems

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IEEE/CAA Journal of Automatica Sinica 2024年第10期11卷 2099-2110页

作者： Meng Wang Huaicheng Yan Jianbin Qiu Wenqiang Ji Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of EducationSchool of Information Science and EngineeringEast China University of Science and TechnologyShanghai 200237China Research Institute of Intelligent Control and Systems School of AstronauticsHarbin Institute of TechnologyHarbin 150080China School of Artificial Intelligence Hebei University of TechnologyTianjin 300401China IEEE

This article studies the fault detection filtering design problem for Roesser type two-dimensional(2-D)nonlinear systems described by uncertain 2-D Takagi-Sugeno(T-S)fuzzy ***,fuzzy Lyapunov functions are constructed and the 2-D Fourier transform is exploited,based on which a finite frequency fault detection filtering design method is proposed such that a residual signal is generated with robustness to external disturbances and sensitivity to *** has been shown that the utilization of available frequency spectrum information of faults and disturbances makes the proposed filtering design method more general and less conservative compared with a conventional nonfrequency based filtering design ***,with the proposed evaluation function and its threshold,a novel mixed finite frequency H_(∞)/H_(-)fault detection algorithm is developed,based on which the fault can be immediately detected once the evaluation function exceeds the ***,it is verified with simulation studies that the proposed method is effective and less conservative than conventional non-frequency and/or common Lyapunov function based filtering design methods.

关键词： Fault diagnosis finite frequency specifications mixed H_(∞)/H_(-)performance two-dimensional nonlinear systems

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Knowledge Graph Representation Learning based on Entity Semantic Distance Classification

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computer-Aided Design and Applications 2024年第S7期21卷 256-269页

作者： Zhang, Yi Cao, Wanhua Liu, Juntao Wang, Yuanbin Rao, Ziyun College of Computer Science and Technology Harbin Engineering University Harbin China Wuhan Digital Engineering Research Institute Wuhan China

In recent years, significant progress has been made in knowledge graph representation learning, which has shown promising results in knowledge computing applications such as relation extraction and knowledge reasoning. However, the unbalanced distribution of relations and entities in knowledge graphs leads to low training efficiency. To address this issue, this paper proposes a novel knowledge representation learning method based on entity distance classification. This method classifies entities based on their semantic distance on a specific relational plane, and employs different training strategies to increase the training opportunities for entities with low semantic distance differentiation. Moreover, the loss function is adjusted by introducing different residual weights, which allows for the allocation of different training opportunities to negative samples. The effectiveness of our approach is demonstrated by comparing it with mainstream knowledge representation models on various benchmark datasets. © 2024 U-turn Press LLC,.

关键词： Knowledge graph

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Origin of extension twinning-mediated static recrystallization and unique parallel alignment of(0001) poles to transverse direction in Mg-3Al-0.4Mn(mass%) alloy sheet

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Journal of Magnesium and Alloys 2023年第9期11卷 3200-3213页

作者： T.Nakata C.Xu L.Geng S.Kamado Nagaoka University of Technology 1603-1KamitomiokaNagaoka 940-2188Japan School of Materials Science and Engineering Harbin Institute of Technology Harbin 150001China

The origin of unique parallel alignment of(0001) poles to transverse direction(TD) was investigated using Mg-3Al-0.4Mn(mass%)alloy sheets rolled with different process conditions. When rolling was performed with intermediate reheating, the alloy showed a sluggish static recrystallization(SRX) behavior during post-annealing, facilitating the nucleation and growth of statically recrystallized grains from extension twins. This resulted in the apparent texture component with the parallel alignment of the(0001) poles to the TD, and the sheet exhibited good ductility for both the rolling direction(RD) and TD. In contrast, continuous rolling without intermediate reheating led to the formation of severely deformed regions near double twins. SRX was promoted at such regions, forming a typical basal textural feature with weak RD-split of the(0001) poles. Although extension twins were formed after the continuous rolling, SRX was facilitated at the severely deformed regions with double twins, and the formation of the unique alignment of the(0001) poles to the TD was suppressed. The RD-split texture led to the large elongation to failure along the RD, while it along the TD decreased owing to the narrow distribution of the(0001)poles toward the TD, resulting in the in-plane anisotropy in ductility.

关键词： Magnesium Rolling Twinning Static recrystallization Texture

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