检索结果-内蒙古大学图书馆

Efficient fabrication of light Cf/SiHfBOC composites with excellent thermal shock resistance and ultra-high-temperature ablation up to 1800℃

引用

Journal of Advanced Ceramics 2023年第11期12卷 2062-2074页

作者： Yang Lyu Zhihong Han Guangdong Zhao Yuan Cheng Shanbao Zhou Xinghong Zhang Guiqing Chen Wenbo Han National Key Laboratory of Science and Technology on Advanced Composites in Special Environments and Center for Composite Materials and StructuresHarbin Institute of TechnologyHarbin 150080China School of Chemistry and Materials Science Heilongjiang UniversityHarbin 150080China

In this paper,a high-yield Hf-modified SiHfBOC ceramic precursor was developed,and a high-pressure assisted impregnation pyrolysis method was proposed to achieve the preparation of 3D PyC–Cf/SiHfBOC *** high-pressure assisted impregnation method significantly improves impregnation filling effect of the precursor in and between fiber bundles compared to dozens of traditional impregnation *** undergoing just 9 precursor infiltration pyrolysis(PIP)cycles,the composites achieved relative density of approximately 90%and density of 1.64 g/cm^(3).The critical temperature difference of the 3D PyC–Cf/SiHfBOC composites after the shock of room temperature(RT)–1000℃is as high as 650℃,which is twice that of traditional ceramic materials,showing good thermal shock *** the effect of Hf modification,a dense HfO_(2)–SiO_(2)oxide layer(thickness of 93μm)was formed in situ on the surface of the 3D PyC–Cf/SiHfBOC composites,effectively preventing further erosion of the composite matrix by high-temperature oxidation *** in the ultra-high-temperature oxygen-containing environment at 1800℃,it still exhibits an excellent non-ablative result(with a linear ablation rate of 0.83×10^(−4)mm/s).This work not only enriches the basic research on lightweight ultra-high-temperature ceramic composites converted from Hf ceramic precursors,but also provides strong technical support for their applications in ultra-high-temperature non-ablative thermal protection materials for high-speed aircraft.

关键词： 3D PyC-C/SiHfBOC composites precursor infiltration pyrolysis(PIP)method thermal shock resistance ablation resistance ablation mechanism

来源：评论

学校读者我要写书评

暂无评论

Simultaneous utilization of electro-generated O_(2)and H_(2)for H_(2)O_(2)production:An upgrade of the Pd-catalytic electro-Fenton process for pollutants degradation

引用

Chinese Journal of Chemical Engineering 2022年第4期35卷 363-368页

作者： Wei Zhou Xiaoxiao Meng Liang Xie Junfeng Li Yani Ding Yanlin Su Jihui Gao Guangbo Zhao School of Energy Science and Engineering Harbin Institute of TechnologyHarbin 150001China

The Electro-Fenton(EF)process is one of the promising advanced oxidation processes(AOPs)for environmental *** H_(2)O_(2) yield of EF process largely determines its performance on organic pollutants *** Pd-catalytic EF process generates H_(2)O_(2) via the combination reaction of anodic O_(2) and cathodic H;.However,the relatively expensive catalyst limits its ***,a hybrid Pd/activated carbon(Pd/AC)-stainless steel mesh(SS)cathode(PACSS)was proposed,which enables more efficie nt H_(2)O_(2)*** utilizes AC,the support of Pd catalyst,as part of cathode for H_(2)O_(2) generation via 2-electron anodic O_(2) reduction,and SS serve as a current ***,H_(2)O_(2) could be catalytically decomposed upon AC to generate highly reactive·OH,which avoids the use of Fe;.Compared with conventional Pd catalyst,H_(2)O_(2) concentration obtained by PACSS cathode is248.2%higher,the O_(2)utilization efficiency was also increased from 3.2%to 10.8%.Within 50 min,26.3%,72.5%,and 94.0%H_(2)O_(2) was decomposed by Pd,AC,and Pd/*** detection results implied that Pd/AC is effective upon H_(2)O_(2) activation for·OH ***,iron-free EF process enabled by PACSS cathode was examined to be effective for reactive blue 19(RB19)*** continuous running for 10 cycles(500 min),the PACSS cathode was still stable for H_(2)O_(2)generation,H_(2)O_(2)activation,and RB19 degradation,showing its potential application for organic pollutants degradation without increase in the running cost.

关键词： Electro-Fenton Hydrogen peroxide Hydroxyl radicals Oxygen reduction reaction Organic pollutants

来源：评论

学校读者我要写书评

暂无评论

Large vision model-based crack segmentation under limited supervision 12th

Large vision model-based crack segmentation under limited su...

引用

12th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2024

作者： Guo, Yapeng Li, Shunlong Xu, Yang School of Transportation Science and Engineering Harbin Institute of Technology Harbin China School of Civil Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)9781032770406

Crack segmentation is an important basis for automatic evaluation of the apparent state of bridge structures. The emergence of large vision models has revolutionized the basic process of object segmentation and demonstrated strong generalization ability. In this paper, a novel large vision model-based crack automatic segmentation method under limited supervision is proposed. By adding a crack segmentation head, the segmentation generalization ability of the large vision model is retained, and the automatic segmentation of cracks is realized. The effectiveness and accuracy of the proposed method are illustrated by comparing with the state-of-the-art crack segmentation methods on eight commonly used crack datasets. © 2024 The Author(s).

关键词：

来源：评论

学校读者我要写书评

暂无评论

ERNIE-AT-CEL: A Chinese Few-Shot Emerging Entity Linking Model Based on ERNIE and Adversarial Training 12th

ERNIE-AT-CEL: A Chinese Few-Shot Emerging Entity Linking Mod...

引用

12th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2023

作者： Zhou, Hongyu Sun, Chengjie Lin, Lei Shan, Lili Harbin Institute of Technology Computer Science and Technology Harbin China

ISBN: (纸本)9783031446986

This article proposes a Chinese few-shot emerging entity linking model based on ERNIE and adversarial training. The model utilizes ERNIE as the base model and achieves accurate linking of Chinese few-shot emerging entities by adding adversarial perturbations during the training process. Experimental results on standard entity linking evaluation datasets demonstrate significant performance improvements of our proposed model compared to baseline models. Moreover, we compare multiple candidate entity retrieval methods through comparative experiments to evaluate and compare their effectiveness in the entity linking task. The experimental results show that our appoarch achieved an F1 score of 0.60 and ranked second in the NLPCC 2023 Shared Task 6 (Chinese Few-shot and Zero-shot Entity Linking). Experimental results demonstrate that the model has high predictive performance and robustness in the Chinese few-shot emerging entity linking task, providing reference and inspiration for research and practice in related fields. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Zero-shot learning

来源：评论

学校读者我要写书评

暂无评论

Real-Time Efficient Environment Compression and Sharing for Multi-Robot Cooperative Systems

IEEE Transactions on Intelligent Vehicles

引用

IEEE Transactions on Intelligent Vehicles 2024年 1-14页

作者： Zheng, Lanxiang Xu, Kai Jiang, Jinqi Wei, Mingxin Zhou, Boyu Cheng, Hui School of Computer Science and Engineering Sun Yat-Sen University Guangzhou China School of Systems Science and Engineering Sun Yat-Sen University Guangzhou China School of Future Technology Harbin Institute of Technology Harbin China School of Artificial Intelligence Sun Yat-Sen University Zhuhai China

Efficient environment sharing is crucial for multi-robot tasks, such as exploration and navigation. However, real-time environment sharing faces significant challenges due to limited communication bandwidth. Inspired by image JPEG compression, this paper presents a novel solution for efficient compression and real-time sharing of environmental point clouds. The framework directly maps the 3D point cloud obtained by the sensor into a panorama, implicitly reducing data dimensions. An event-trigger mechanism, based on the visibility of the point cloud, selectively merges consecutive frames of the point cloud into same panorama, thereby avoiding the transmission of redundant data. To reduce the proportion of invalid data in the panorama, a Mixed Integer Programming (MIP) problem is formulated to extract valuable segments from the panorama before compression. The point cloud is then compressed in the frequency domain, achieving high compression performance and decompression accuracy. The lightweight architecture without GPU acceleration makes the framework easily deployable and suitable for real-time environment sharing in multi-robot systems. Simulations and real-world experiments in various scenarios validate the effectiveness of the proposed method. IEEE

关键词： Real time systems

来源：评论

学校读者我要写书评

暂无评论

Dimensional-noise-aware battery lifetime prediction via an EM-TLS framework

引用

Progress in Natural science:Materials International 2025年第1期35卷 146-155页

作者： Chenlong Yu Ting Lu Guohua Liu Xiaoang Zhai Wuyan Deng Jiayu Wan Yang Liu Xin Li School of Computer Science and Technology Donghua University Future Battery Research Center Global Institute of Future Technology Shanghai Jiaotong University Data Science Research Center Duke Kunshan University

Machine learning has been massively utilized to construct data-driven solutions for predicting the lifetime of rechargeable batteries in recent years, which project the physical measurements obtained during the early charging/discharging cycles to the remaining useful lifetime. While most existing techniques train the prediction model through minimizing the prediction error only, the errors associated with the physical measurements can also induce negative impact to the prediction accuracy. Although total-least-squares(TLS) regression has been applied to address this issue, it relies on the unrealistic assumption that the distributions of measurement errors on all input variables are equivalent, and cannot appropriately capture the practical characteristics of battery degradation. In order to tackle this challenge, this work intends to model the variations along different input dimensions, thereby improving the accuracy and robustness of battery lifetime prediction. In specific, we propose an innovative EM-TLS framework that enhances the TLS-based prediction to accommodate dimension-variate errors, while simultaneously investigating the distributions of them using expectation-maximization(EM). Experiments have been conducted to validate the proposed method based on the data of commercial Lithium-Ion batteries, where it reduces the prediction error by up to 29.9 % compared with conventional TLS. This demonstrates the immense potential of the proposed method for advancing the R&D of rechargeable batteries.

关键词： Battery lifetime prediction Dimension-variate measurement error Energy storage Expectation-maximization Total-least-squares regression

来源：评论

学校读者我要写书评

暂无评论

Crack Fault Diagnosis and Location Method for a Dual-Disk Hollow Shaft Rotor System Based on the Radial Basis Function Network and Pattern Recognition Neural Network

引用

Chinese Journal of Mechanical Engineering 2023年第2期36卷 180-197页

作者： Yuhong Jin Lei Hou Zhenyong Lu Yushu Chen School of Astronautics Harbin Institute of TechnologyHarbin 150001China Institute of Dynamics and Control Science Shandong Normal UniversityJi’nan 250014China

The crack fault is one of the most common faults in the rotor system,and researchers have paid close attention to its fault ***,most studies focus on discussing the dynamic response characteristics caused by the crack rather than estimating the crack depth and position based on the obtained vibration *** this paper,a novel crack fault diagnosis and location method for a dual-disk hollow shaft rotor system based on the Radial basis function(RBF)network and Pattern recognition neural network(PRNN)is ***,a rotor system model with a breathing crack suitable for a short-thick hollow shaft rotor is established based on the finite element method,where the crack's periodic opening and closing pattern and different degrees of crack depth are ***,the dynamic response is obtained by the harmonic balance *** adjusting the crack parameters,the dynamic characteristics related to the crack depth and position are analyzed through the amplitude-frequency responses and waterfall *** analysis results show that the first critical speed,first subcritical speed,first critical speed amplitude,and super-harmonic resonance peak at the first subcritical speed can be utilized for the crack fault *** on this,the RBF network and PRNN are adopted to determine the depth and approximate location of the crack respectively by taking the above dynamic characteristics as *** results show that the proposed method has high fault diagnosis *** research proposes a crack detection method adequate for the hollow shaft rotor system,where the crack depth and position are both unknown.

关键词： Hollow shaft rotor Breathing crack Radial basis function network Pattern recognition neural network Machine learning

来源：评论

学校读者我要写书评

暂无评论

Boosting Transferability and Discriminability for Time Series Domain Adaptation 38

Boosting Transferability and Discriminability for Time Serie...

引用

38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： Liu, Mingyang Chen, Xinyang Shu, Yang Li, Xiucheng Guan, Weili Nie, Liqiang School of Computer Science and Technology Harbin Institute of Technology Shenzhen China School of Data Science and Engineering East China Normal University China School of Electronics and Information Engineering Harbin Institute of Technology Shenzhen China

Unsupervised domain adaptation excels in transferring knowledge from a labeled source domain to an unlabeled target domain, playing a critical role in time series applications. Existing time series domain adaptation methods either ignore frequency features or treat temporal and frequency features equally, which makes it challenging to fully exploit the advantages of both types of features. In this paper, we delve into transferability and discriminability, two crucial properties in transferable representation learning. It's insightful to note that frequency features are more discriminative within a specific domain, while temporal features show better transferability across domains. Based on the findings, we propose Adversarial CO-learning Networks (ACON), to enhance transferable representation learning through a collaborative learning manner in three aspects: (1) Considering the multi-periodicity in time series, multi-period frequency feature learning is proposed to enhance the discriminability of frequency features;(2) Temporal-frequency domain mutual learning is proposed to enhance the discriminability of temporal features in the source domain and improve the transferability of frequency features in the target domain;(3) Domain adversarial learning is conducted in the correlation subspaces of temporal-frequency features instead of original feature spaces to further enhance the transferability of both features. Extensive experiments conducted on a wide range of time series datasets and five common applications demonstrate the state-of-the-art performance of ACON. Code is available at https://***/mingyangliu1024/ACON. © 2024 Neural information processing systems foundation. All rights reserved.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Saliency Map Construction for Adversarial Image Steganography

引用

Chinese Journal of Electronics 2025年第3期34卷 816-827页

作者： School of Cyberspace Science Harbin Institute of Technology Harbin 150001 China

Adversarial image steganography can fool the targeted convolutional neural network (CNN)-based steganalyzers, thereby improving the security performance. Despite the fact that existing works have achieved great success, there are still some limitations that make it difficult to exploit their potentiality, including the issue that selecting a final stego from the candidate stegos cannot perfectly help them fool the targeted steganalyzers. Since the trade-off between gradient and embedding cost has not been thoroughly investigated, this may simplify the design of more effective methods. In this article, we design a new model to score each image element in a cover by utilizing this trade-off, and a saliency map is constructed to represent the scores of the image. Based on the above, a simple and efficient scheme called SAL is presented. It selects the elements from the map according to the amplitudes of the scores, and their costs are updated based on the signs of the corresponding gradients. Finally, data embedding is accomplished with the new costs to generate an adversarial stego. Extensive experiments illustrate that SAL can achieve better security performance than state-of-the-art methods under different targeted CNN-based steganalyzers in both spatial and JPEG domains.

关键词： Steganography Steganalysis Adversarial example Saliency map

来源：评论

学校读者我要写书评

暂无评论

In-situ oriented oxygen-defect-rich Mn-N-O via nitridation and electrochemical oxidation based on industrial-scale Mn_(2)O_(3) to achieve high-performance aqueous zinc ion battery

引用

Journal of Energy Chemistry 2023年第1期76卷 11-18,I0001页

作者： Yao Liu Shuailong Guo Wei Ling Mangwei Cui Hao Lei Jiaqi Wang Wenzheng Li Qingjiang Liu Lukuan Cheng Yan Huang Sauvage Laboratory for Smart Materials School of Materials Science and EngineeringHarbin Institute of TechnologyShenzhen 518055GuangdongChina Shenzhen Key Laboratory of Flexible Printed Electronics Technology Harbin Institute of TechnologyShenzhen 518055GuangdongChina State Key Laboratory of Advanced Welding and Joining Harbin Institute of TechnologyHarbin 150001HeilongjiangChina

As a general problem in the field of batteries,materials produced on a large industrial scale usually possess unsatisfactory electrochemical *** them,manganese-based aqueous rechargeable zinc-ion batteries(ARZBs)have been emerging as promising large-scale energy storage systems owing to their high energy densities,low manufacturing cost and intrinsic high ***,the direct application of industrial-scale Mn2O3(MO)cathode exhibits poor electrochemical performance especially at high current ***,a highly reversible Mn-based cathode is developed from the industrial-scale MO by nitridation and following electrochemical oxidation,which triples the ion diffusion rate and greatly promotes the charge ***,the cathode delivers a capacity of 161 m Ah g^(-1) at a high current density of 10 A g^(-1),nearly-three times the capacity of pristine MO(60 m Ah g^(-1)).Impressive specific capacity(243.4 m Ah g^(-1))is obtained without Mn^(2+) additive added in the electrolyte,much superior to the pristine MO(124.5 m Ah g^(-1)),suggesting its enhanced reaction kinetics and structural *** addition,it possesses an outstanding energy output of 368.4 Wh kg^(-1) at 387.8 W kg^(-1),which exceeds many of reported cathodes in ARZBs,providing new opportunities for the large-scale application of highperformance and low-cost ARZBs.

关键词： Aqueous rechargeable zinc-ion battery Mn-based cathode Oxygen defect Nitridation Electrochemical oxidation

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：