检索结果-内蒙古大学图书馆

Damage evolution mechanism and low-damage grinding technology of silicon carbide ceramics

International Journal of Extreme Manufacturing 2025年第2期7卷 551-586页

作者： Chen Li Kechong Wang Oleg Zakharov Hailong Cui Mingtao Wu Tianchen Zhao Yongda Yan Yanquan Geng State Key Laboratory of Robotics and System(HIT) Harbin Institute of TechnologyHarbin 150001People’s Republic of China School of Mechatronics Engineering Harbin Institute of TechnologyHarbin 150001People’s Republic of China Moscow State University of Technology STANKINMoscow 127994Russia Sichuan Precision and Ultra-Precision Machining Engineering Technology Center Chengdu 610200People’s Republic of China College of Mechanical Engineering Quzhou UniversityQuzhou 324000People’s Republic of China Hunan Provincial Key Laboratory of High Efficiency and Precision Machining of Difficult-to-cut Material Hunan University of Science and TechnologyXiangtan 411201People’s Republic of China

Silicon carbide(SiC)ceramics are extensively utilized in aerospace,national defense,and petrochemical industries due to their superior physical and chemical *** processing of bulk SiC ceramics necessitates precise and efficient grinding techniques to produce components with satisfactory ***,the inherent high hardness and brittleness of SiC ceramics present significant challenges during grinding,leading to severe brittle fracture and tool wear that compromise both surface integrity and production *** ductile-regime grinding of SiC ceramics can be achieved by enhancing machine tool accuracy and stiffness while optimizing wheel performance alongside appropriate selection of process parameters,a comprehensive summary of the mechanisms underlying damage evolution during grinding is lacking,and a mature grinding process for SiC ceramics has yet to be *** bridge this gap,the sintering technologies,mechanical properties,and microstructures of SiC ceramics were briefly *** grinding-induced damage mechanism and low-damage grinding technologies of SiC ceramics were *** fundamental science underlying the ductile deformation and removal mechanisms of brittle solids was ***,attention was directed towards the critical role of hybrid energy field grinding in minimizing brittle damages and promoting removal *** review not only elucidates the intrinsic interactions between the work material and abrasives,but also offers valuable insights for optimizing the grinding processes of brittle solids.

关键词： grinding damage evolution low damage high surface integrity silicon carbide ceramics

来源：评论

学校读者我要写书评

暂无评论

Sound intensity fluctuations caused by internal solitary wave train in the South China Sea

Sound intensity fluctuations caused by internal solitary wav...

引用

2023 International Conference on Frontiers of Ocean Science and technology, ICFOST 2023

作者： Gao, Fei Xu, Fanghua Li, Zhenglin Qin, Jixing Ma, Shuqing Department of Earth System Science Ministry of Education Key Laboratory of Earth System Modeling Institute for Global Change Studies Tsinghua University Beijing100084 China School of Ocean Engineering and Technology Sun Yat-Sen University GUANGDONG Zhuhai519000 China State Key Laboratory of Acoustics Institute of Acoustics Chinese Academy of Sciences Beijing100190 China College of Meteorology and Oceanology National University of Defense Technology Changsha410073 China

Dynamic internal solitary wave (ISW) can cause significant underwater sound fluctuations. In this paper, the periodic characteristics of sound intensity fluctuations and related physical mechanisms are investigated in the scenario that an ISW train passing through the acoustic path from source to receivers. From simulation results and experimental data, it is shown that the sound intensity fluctuates quasi-periodically, and the predominant fluctuation frequency is associated with modal interference and modal intensity. The initial mode coefficients at the source and the mode coupling are responsible for the fluctuations of modal intensities, and one of the predominant fluctuation periods is the same as that of the ISWs. © Published under licence by IOP Publishing Ltd.

关键词： Solitons

来源：评论

学校读者我要写书评

暂无评论

Polarized Modulation for RIS-Aided Vehicular Communication Networks

引用

IEEE Internet of Things Journal 2025年第12期12卷 18616-18627页

作者： Shang, Pingping Xie, Longhui Li, Jun Feng, Li Hai, Han Xu, Binbin Li, Jie Yu, Ling Hubei University of Technology School of Electrical and Electronic Engineering Wuhan430068 China Hubei University of Technology Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System Wuhan430068 China Guangzhou University Research Center of Intelligent Communication Engineering School of Electronics and Communication Engineering Guangzhou510006 China Key Laboratory of On-Chip Communication and Sensor Chip of Guangdong Higher Education Institutes Guangzhou510006 China Donghua University School of Information Science and Technology Shanghai201620 China Maritime Communication Research Institute Wuhan430068 China Guangdong Provincial Hospital of Chinese Medicine Guangzhou510120 China State Key Laboratory of Traditional Chinese Medicine Syndrome Guangzhou510120 China

The reconfigurable intelligent surface (RIS) stands as an emergent technique poised to revolutionize future vehicular communication. In order to facilitate the application of RIS in vehicular communication, this paper proposes two effective RIS-aided schemes tailored for polarization modulation (PM) aiming to achieve remarkable spectral efficiency. Specifically, Scheme I proposes a novel index modulation (IM) aided PM-RIS framework that innovatively encodes information across three distinct dimensions, the indices of dual-polarized antennas (DP-AEs), PM symbols and the reflecting surface indices of the RIS. Scheme II employs a deep neural network method to analyze the channel state information (CSI) for transmit antenna selection, that enhances the reliability and interference immunity in dynamic conditions while reducing computational complexity. Furthermore, a stepwise estimation (SE) method is introduced at the detection stage, which significantly reduces the complexity associated with information decoding. The simulation results highlight the superiority of the proposed system. Compared with traditional PM systems, it demonstrates enhanced performance in terms of spectral efficiency, channel stability, and bit error rate (BER). © 2014 IEEE.

关键词： Signal modulation

来源：评论

学校读者我要写书评

暂无评论

Automatic Ship Berthing Path Planning Based on Artificial Potential Field

Automatic Ship Berthing Path Planning Based on Artificial Po...

引用

International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Wen, Zhuo Tian, Wuliu Han, Bing Zhang, Jinfen Wu, Da State Key Laboratory of Maritime Technology and Safety Shanghai and Wuhan China Intelligent Transportation System Research Center Wuhan University of Technology Wuhan430070 China Academician Workstation of COSCO Shipping Group Shanghai200137 China Beibu Gulf University Qinzhou535011 China

ISBN: (纸本)9789819639601

Existing ship automatic docking technologies mainly focuses on high-fidelity simulation and testing platforms, precision positioning and navigation technology, intelligent control and decision algorithms, and environment perception and obstacle avoidance technology. However, these the still have various limitations in precise path planning. This study proposes a ship automatic docking path planning method that combines the artificial potential field method with Bezier curves. It uses Bezier curves to generate a smooth global path and integrates the artificial potential field to dynamically adjust the path to accommodate the complex environment during the docking process. The results indicate that the proposed method has strong adaptability in dynamic environments, providing theoretical support and technical assurance for the practical application of automatic ship docking. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Motion planning

来源：评论

学校读者我要写书评

暂无评论

A semantic and emotion-based dual latent variable generation model for a dialogue system

引用

CAAI Transactions on Intelligence technology 2023年第2期8卷 319-330页

作者： Ming Yan Xingrui Lou Chien Aun Chan Yan Wang Wei Jiang State Key Laboratory of Media Convergence and Communication Communication University of ChinaBeijingChina School of Information and Communications Engineering Communication University of ChinaBeijingChina Key Laboratory of Acoustic Visual Technology and Intelligent Control System Communication University of ChinaBeijingChina Department of Electrical and Electronic Engineering The University of MelbourneMelbourneVictoriaAustralia School of Data Science and Intelligent Media Communication University of ChinaBeijingChina

With the development of intelligent agents pursuing humanisation,artificial intelligence must consider emotion,the most basic spiritual need in human *** emotional dialogue systems usually use an external emotional dictionary to select appropriate emotional words to add to the response or concatenate emotional tags and semantic features in the decoding step to generate appropriate ***,selecting emotional words from a fixed emotional dictionary may result in loss of the diversity and consistency of the *** propose a semantic and emotion-based dual latent variable generation model(Dual-LVG)for dialogue systems,which is able to generate appropriate emotional responses without an emotional *** from previous work,the conditional variational autoencoder(CVAE)adopts the standard transformer ***,Dual-LVG regularises the CVAE latent space by introducing a dual latent space of semantics and *** content diversity and emotional accuracy of the generated responses are improved by learning emotion and semantic features ***,the average attention mechanism is adopted to better extract semantic features at the sequence level,and the semi-supervised attention mechanism is used in the decoding step to strengthen the fusion of emotional features of the *** results show that Dual-LVG can successfully achieve the effect of generating different content by controlling emotional factors.

关键词： conditional variational autoencoder dual latent space emotional responses latent variable generation

来源：评论

学校读者我要写书评

暂无评论

Visual Explanation of Object Detectors via Saliency Maps 18

Visual Explanation of Object Detectors via Saliency Maps

引用

18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

作者： Xiao, Jin Liu, Wenrui Hu, Xiaoguang Jiang, Hao Wang, Weipeng Yahang, Li Beihang University State Key Laboratory of Virtual Reality Technology and Systems Beijing China Beihang University Beijing China The Third Academy of Casic Beijing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9798350312201

In recent years, rapid progress of deep learning has resulted in object detection algorithms based on deep neural networks nearly completely replacing traditional methods. This shift has led to significant improvements in both accuracy and speed of object detection. However, deep neural networks that support decision-making inobject detection are complex black boxes with hidden internal logic and operations. This lack of transparency results in deep learning models being unexplainable, which limits their practical deployment. In this paper, we analyze the current state and future trends of interpretable technology in object detection and propose an effective object detection interpretable algorithm. This algorithm aims to explain the underlying logic of AI decision-making and provide support for the high performance and credibility of object detection algorithms based on deep neural networks through quantitative evaluation indicators. © 2023 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Electric Power Load Forecasting: Discovering Causal Links with Meteorological Data 10

Electric Power Load Forecasting: Discovering Causal Links wi...

引用

10th International Conference on Fuzzy systems and Data Mining, FSDM 2024

作者： Ma, Hongwei Peng, Huimin Ren, Weijie College of Intelligent Systems Science and Engineering Harbin Engineering University Harbin150001 China State Key Laboratory of Technology and Equipment for Defense against Power System Operational Risks Nari Technology Co. Ltd. Jiangsu Nanjing211106 China

ISBN: (纸本)9781643685694

Power system load forecasting is the foundation of power system operation and planning. Meteorological factors such as temperature, humidity, and wind speed have a significant impact on the load of the power system. In recent years, with the popularity of data-driven methods, power system load forecasting has developed. However, in existing research on power systems, the study of relationships between variables is predominantly based on correlation, with little mention of the concept of causality. In this paper, an adaptive time window strategy is proposed to identify time periods where causal relationships may change. Then, the Time Causal Discovery Framework (TCDF) was used at each time window to explore the causal relationship between electricity load and climate data. Finally, compared with the traditional correlation-based analysis method, the experiment shows that our method not only explains the causal relationship between power load and climate, but also effectively improves the prediction performance. © 2024 The Authors.

关键词： Wind forecasting

来源：评论

学校读者我要写书评

暂无评论

An Optimization Method for SLAM Feature Point Extraction in Fuzzy Scenes 10

An Optimization Method for SLAM Feature Point Extraction in ...

引用

10th International Forum on Electrical Engineering and Automation, IFEEA 2023

作者： Wang, Yunmeng Cui, Long Liu, Zaoming Liu, Nailong Shenyang Institute of Automation Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China Beijing Institute of Control Engineering Science and Technology on Space Intelligent Control Laboratory Beijing China

ISBN: (纸本)9798350309379

In order to solve the problem that image blur is easily caused by camera shaking of micro-robots during surgical navigation, which leads to the accumulation of SLAM errors, this paper studies the feature point extraction optimization method based on deep learning in fuzzy scenes, proposes an improved defuzzification network, and finally applies the network to the front end of SLAM, and conducts experimental verification on the open data set TUM. The results show that the proposed algorithm significantly improves the accuracy of front-end feature extraction and matching. © 2023 IEEE.

关键词： environment perception feature extraction fuzzy detection Monocular vision SLAM Surgical navigation

来源：评论

学校读者我要写书评

暂无评论

Mantle sources of Cenozoic volcanoes around the South China Sea revealed by geochemical and isotopic data using the principal component analysis

引用

Journal of Oceanology and Limnology 2023年第2期41卷 562-574页

作者： Shuangshuang CHEN Zewei WANG Rui GAO Yongzhang ZHOU School of Earth Sciences and Engineering Sun Yat-sen UniversityGuangzhou 510275China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519080China Guangdong Provincial Key Lab of Geological Processes and Mineral Resources Guangzhou 510275China State Key Laboratory of Marine Environmental Science Xiamen UniversityXiamen 361102China Department of Earth and Space Sciences Southern University of Science and TechnologyShenzhen 518055China State Key Laboratory of Tibetan Plateau Earth System Environment and Resources(TPESER)Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100101China

Principal component analysis(PCA)was employed to determine the implications of geochemical and isotopic data from Cenozoic volcanic activities in the Southeast Asian region,including China(South China Sea(SCS),Hainan Island,Fujian-Zhejiang coast,Taiwan Island),and parts of Vietnam and *** analyzed 15 trace element indicators and 5 isotopic indicators for 623 volcanic rock samples collected from the study *** principal components(PCs)were extracted by PCA based on the trace elements and Sr-Nd-Pb isotopic ratios,which probably indicate an enriched oceanic island basalt-type mantle plume and a depleted mid-ocean ridge basalt-type spreading *** results show that the influence of the Hainan mantle plume on younger volcanic activities(<13 Ma)is stronger than that on older ones(>13 Ma)at the same location in the Southeast Asian *** was employed to verify the mantle-plume-ridge interaction model of volcanic activities beneath the expansion center of SCS and refute the hypothesis that the tension of SCS is triggered by the Hainan *** study reveals the efficiency and applicability of PCA in discussing mantle sources of volcanic activities;thus,PCA is a suitable research method for analyzing geochemical data.

关键词： volcanic rocks geochemical indicators mantle source principal component analysis South China Sea

来源：评论

学校读者我要写书评

暂无评论

Rolling bearing fault diagnosis using multisynchrosqueezing transform under time-varying conditions 8

Rolling bearing fault diagnosis using multisynchrosqueezing ...

引用

8th International Conference on robotics and Automation Engineering, ICRAE 2023

作者： Xiao, Chaoang Shao, Jianbo You, Lichun Yu, Jianbo School of Mechanical Engineering Tongji University Shanghai China Pinghu Laboratory Zhejiang China State Key Laboratory of Large Electric Drive System and Equipment Technology Gansu China Tongji University Shanghai China Longmen Laboratory Henan China

ISBN: (纸本)9798350327656

In engineering, vibration signals of rotating machinery are nonstationary and complicated under time-varying conditions. Due to Heisenberg uncertainty principle, the traditional time-frequency analysis methods cannot extract the time-varying features accurately. In this paper, a multisynchrosqueezing transform (MSST) and frequency ridges extraction method is proposed to diagnose the rolling bearing fault with time-varying speeds. Firstly, the SST is combined with an iterative computation procedure to generate a more energy concentrated time-frequency representation. Secondly, multiple ridge curves extraction algorithm is proposed to identify the time-varying rotational frequencies and fault frequencies. Finally, the extracted frequency ridge curves are compared with theoretical fault characteristic coefficients to detect the fault types. Experimental results and comparative analysis demonstrate that the proposed method can effectively improve the resolution of time-frequency representation and extract instantaneous features. © 2023 IEEE.

关键词： Failure analysis

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：