检索结果-内蒙古大学图书馆

Ultrafast laser-chemical modification hybrid fabrication of hydrostatic bearings with a superhydrophobicity solid-liquid interface

引用

Science China(Technological Sciences) 2024年第3期67卷 696-708页

作者： GUO MingHui RONG YouMin HUANG Yu FENG XiaoLin HU HaiDong WU CongYi ZHANG GuoJun State Key Laboratory of Intelligent Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan 430074China School of Mechanical Science and Engineering Huazhong University of Science and TechnologyWuhan 430074China Faculty of Engineering and Life Sciences Universiti Selangor Bestari JayaSelangor 45600Malaysia

Oil film vortex severely reduces the stability of hydrostatic bearings. A solid-liquid interface with drag and slip properties can weaken the oil film vortex of the bearing. Here, a combined picosecond laser ablation and chemical modification method is proposed to prepare surfaces with microbulge array structure on 6061 aluminum alloy substrates. Because of the low surface energy of the perfluorododecyltriethoxysilane modification and the bulge geometry of the microbulge array structure, the surface shows excellent superhydrophobicity. The optimum contact angle in air for water is 164°, and that for oil is 139°. Two surfaces with “lotus-leaf effect” and “rose-petal effect” were obtained by controlling the processing parameters. The drag reduction properties of superhydrophobic surfaces were systematically investigated with slip lengths of 22.26 and 36.25 μm for deionized water and VG5 lubricant, respectively. In addition, the superhydrophobic surface exhibits excellent mechanical durability and thermal stability. The proposed method provides a new idea for vortex suppression in hydrostatic bearings and improves the stability of bearings in high-speed operation.

关键词： superhydrophobicity surface ultrafast laser drag reduction solid-liquid interface microbulge array structure

来源：评论

学校读者我要写书评

暂无评论

Novel Sparse Codebook Design for MIMO-SCMA

引用

IEEE Transactions on Vehicular technology 2025年第5期74卷 8407-8412页

作者： Lei, Tuofeng Luo, Qu Ni, Shuyan Chen, Shimiao Yu, Lisu Xiao, Pei Space Engineering University Key Laboratory of Intelligent Space TTC&O Ministry of Education Beijing101416 China University of Electronic Science and Technology of China National Key Laboratory of Science and Technology on Communications Chengdu610054 China Nanchang University School of Information Engineering Nanchang330031 China Xidian University State Key Laboratory of ISN Xi'an710071 China

The combination of multiple-input multiple-output (MIMO) and sparse code multiple access (SCMA), referred to as MIMO-SCMA, can be leveraged to achieve high spectrum efficiency and provide massive connectivity for future machine-type communication networks. This paper aims to design enhanced sparse codebooks for MIMO-SCMA by jointly combining frequency and spatial diversity over Rayleigh fading channels. First, based on the pairwise error probability (PEP), novel codebook design criteria have been presented, namely the hybrid minimum product distance of the Euclidean distance (MPD-ED) and the minimum Euclidean distance of the superimposed constellation at each frequency element (MED-FE). Then, enhanced mother constellations (MC) are proposed by maximizing the MPD-ED of the MC based on the alternating optimization. Subsequently, the multi-dimensional codebooks are obtained by applying user-specific rotation of the proposed MC to maximize the MED-FE, where the unitary rotations are considered to fully leverage the Euclidean space of the transmit antennas while maintaining the MPD-ED value of the codebook. Finally, numerical results demonstrate that the proposed approach significantly outperforms the state-of-the-art codebooks. © 1967-2012 IEEE.

关键词： Fading channels

来源：评论

学校读者我要写书评

暂无评论

Integration of bio-inspired limb-like structure damping into motor suspension of high-speed trains to enhance bogie hunting stability

引用

Railway Engineering Science 2024年第3期32卷 324-343页

作者： Heng Zhang Liang Ling Sebastian Stichel Wanming Zhai State Key Laboratory of Rail Transit Vehicle System Southwest Jiaotong UniversityChengdu 610031China Department of Engineering Mechanics KTH Royal Institute of TechnologyStockholmSweden

Hunting stability is an important performance criterion in railway *** study proposes an incorporation of a bio-inspired limb-like structure(LLS)-based nonlinear damping into the motor suspension system for traction units to improve the nonlinear critical speed and hunting stability of high-speed trains(HSTs).Initially,a vibration transmission analysis is conducted on a HST vehicle and a metro vehicle that suffered from hunting motion to explore the effect of different motor suspension systems from on-track ***,a simplified lateral dynamics model of an HST bogie is established to investigate the influence of the motor suspension on the bogie hunting *** bifurcation analysis is applied to optimize the motor suspension parameters for high critical ***,the nonlinear damping of the bio-inspired LLS,which has a positive correlation with the relative displacement,can further improve the modal damping of hunting motion and nonlinear critical speed compared with the linear motor suspension ***,a comprehensive numerical model of a high-speed train,considering all nonlinearities,is established to investigate the influence of different types of motor *** simulation results are well consistent with the theoretical *** benefits of employing nonlinear damping of the bio-inspired LLS into the motor suspension of HSTs to enhance bogie hunting stability are thoroughly validated.

关键词： High-speed train Hunting stability Bio-inspired limb-like structure Motor suspension Nonlinear damping

来源：评论

学校读者我要写书评

暂无评论

Kirigami-inspired continuum soft arm with embedded sensing for non-destructive inspection and sorting

引用

Science China Materials 2025年第2期68卷 552-560页

作者： Jinsui Xu Boyi Xu Honghao Yue Yifan Lu Zheping Wang Zongquan Deng Fei Yang State Key Laboratory of Robotics and System School of Mechatronics EngineeringHarbin Institute of TechnologyHarbin 150001China Wu Xianming School of Intelligent Engineering South China University of TechnologyGuangzhou 510641China

The sensing capabilities of a soft arm are ofparamount importance to its overall performance as they allow precise control of the soft arm and enhance its interactionwith the surrounding environment. However, the actuationand sensing of a soft arm are not typically integrated into amonolithic structure, which would impede the arm’s movement and restrict its performance and application scope. Toaddress this limitation, this study proposes an innovativemethod for the integrated design of actuator structures andsensing. The proposed method combines the art of kirigamiwith soft robotics technology. In the proposed method, sensorsare embedded in the form of kirigami structures into actuatorsusing laser cutting technology, achieving seamless integrationwith a soft arm. Compared to the traditional amanogawakirigami and fractal-cut kirigami structures, the proposedmiddle-cut kirigami (MCK) structure does not buckle duringstretching and exhibits superior tensile performance. Based onthe MCK structure, an advanced interdigitated capacitivesensor with a high degree of linearity, which can significantlyoutperform traditional kirigami sensors, is developed. Theexperimental results validate the effectiveness of the proposedsoft arm design in actual logistics sorting tasks, demonstratingthat it is capable of accurately sorting objects based on sensorsignals. In addition, the results indicate that the developedcontinuum soft arm and its embedded kirigami sensors havegreat potential in the field of logistics automation *** work provides a promising solution for high-precisionclosed-loop feedback control and environmental interaction ofsoft arms.

关键词： kirigami embedded sensing continuous soft arm non-destructive inspection

来源：评论

学校读者我要写书评

暂无评论

Driving Performance Analysis for Connected Vehicle Platoons: Velocity Perturbation and Fuel Consumption

Driving Performance Analysis for Connected Vehicle Platoons:...

引用

2023 IEEE International Conference on Unmanned systems, ICUS 2023

作者： Zhao, Yihan Duan, Xuting Zhou, Jianshan Zhang, Long School of Transportation Science and Engineering Beihang University Beijing China State Key Lab of Intelligent Transportation System Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Beijing China State Key Lab of Intelligent Transportation System Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Zhongguancun Laboratory Beijing China National Key Laboratory of Science and Technology on Information System Security Institute of Systems Engineering Beijing China

ISBN: (纸本)9798350316308

Vehicle platoon is one of the concrete manifestations of multi-vehicle cooperative control and intelligent transportation. However, the velocity perturbation in the driving process will bring about stability and safety problems. The connected autonomous vehicles (CAVs) can obtain the motion status of the lead vehicle in real time and respond to it in time, which is of far-reaching significance to platoon control. Based on this, this paper focuses on the longitudinal driving strategy of connected autonomous vehicle platoons. Specifically, we provide a discrete double-integral model controller for each vehicle in a generic scenario, and the controller performs acceleration and deceleration control at each timeslot according to the state of the vehicle in front and its own state. Simulation experiments are designed by varying the size of the platoon and the number of connected autonomous vehicles. The experimental results show that the introduction of connected autonomous vehicles can effectively suppress the platoon velocity perturbation, increase the stability of the platoon driving, and significantly reduce the fuel consumption at the same time. © 2023 IEEE.

关键词： Autonomous vehicles

来源：评论

学校读者我要写书评

暂无评论

Source Separation of Piano Concertos Using Hybrid LSTM-Transformer Model

Source Separation of Piano Concertos Using Hybrid LSTM-Trans...

引用

2024 International Conference on Culture-Oriented Science and technology, CoST 2024

作者： Liu, JingYu He, Wei Zhou, Jingjing Jiang, Wei State Key Laboratory of Media Convergence and Communication Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing China School of Information and Communication Engineering Communication University of China Beijing China

ISBN: (纸本)9798350380347

Music source separation, the process of extracting independent audio streams from a complex mix, has traditionally focused on isolating vocals, drums, bass, and other primary sources. This study tackles the more intricate task of separating the piano component from a piano concerto-a challenge compounded by the diverse range of instruments and the dynamic shifts in volume and timbre. Unlike traditional music separation tasks, the piano's distinct characteristics and its interaction with the orchestra demand a more nuanced *** address the scarcity of multi-track recordings for piano concertos, this research pioneers an artificial data synthesis strategy to create a robust training dataset. We introduce a novel hybrid deep learning model that integrates Long Short-Term Memory (LSTM) networks with Transformer architecture, capitalizing on their complementary strengths to distinguish piano melodies from the rich tapestry of orchestral sounds. Our experiments demonstrate that this hybrid approach significantly outperforms conventional methods, with an improvement of 3.18 dB in signal-to-distortion ratio. These results not only validate the efficacy of proposed method but also pave the way for innovative applications in classical music source separation. © 2024 IEEE.

关键词： Source separation

来源：评论

学校读者我要写书评

暂无评论

Learning Dense Visual Object Descriptors to Fold Two-Dimensional Deformable Fabrics 13

Learning Dense Visual Object Descriptors to Fold Two-Dimensi...

引用

13th IEEE International Conference on CYBER technology in Automation, Control, and intelligent systems, CYBER 2023

作者： Cao, Yang Gong, Daoxiong Yu, Jianjun Beijing University of Technology Faculty of Information Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing100124 China

ISBN: (纸本)9798350315196

Manipulating two-dimensional fabrics is a significant research field in recent years. Fabric manipulation presents a formidable challenge due to the intricate dynamics and high-dimensional state space inherent in the process, prior research has predominantly relied on robot learning of task-specific strategies as a means to effectively accomplish the corresponding fabric manipulation tasks. In this work, we utilize dense visual object descriptors trained on synthetic RGB images to learn visual representations for two-dimensional fabrics. Based on the learned descriptors, the robot can learn the correspondences of similar fabrics in different configurations. We apply a novel Siamese network architecture to improve the quality of learned descriptors for three types of fabrics, including square fabrics, T-shirts and shorts. By utilizing the learned descriptors, the equivalent actions in an unknown configuration can be computed based on a fabric folding demonstration in an initial configuration. We perform a series of fabric folding tasks in different colors, sizes and shapes. The policy can achieve 87.7% average task success rate across 7 different folding tasks. © 2023 IEEE.

关键词： Network architecture

来源：评论

学校读者我要写书评

暂无评论

Missing-Pattern-Aware-Based Multi-Model Imputation Method for Wastewater Treatment Process 13

Missing-Pattern-Aware-Based Multi-Model Imputation Method fo...

引用

13th IEEE International Conference on CYBER technology in Automation, Control, and intelligent systems, CYBER 2023

作者： Sun, Meiting Han, Honggui Li, Fangyu Beijing University of Technology Faculty of Information Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing100124 China

ISBN: (纸本)9798350315196

In wastewater treatment process (WWTP), data-based implement techniques ensure the stable operation and reduce energy consumption. Different missing patterns of missing values often occur due to some harsh environments and sensor failures. However, existing imputation methods are difficult to obtain satisfactory data for implementation techniques as they only consider a single missing pattern. To solve this problem, a missing-pattern-aware-based multi-model imputation method (MPAMI) is proposed. First, a missing pattern aware network combining the advantages of the encoder and the axial attention mechanism is designed to identify different missing patterns. The network employs the encoder to extract nonlinear feature representations and utilizes the axial attention mechanism to focus on the most informative differential features. Second, a hybrid multi-model imputation method based on the long short-term memory network and the denoising autoencoder is developed to recover missing values. The imputation method utilizes the spatiotemporal information of missing patterns to improve imputation performance. Finally, experiments are conducted on a real WWTP dataset to validate the imputation performance of the proposed MPAMI. © 2023 IEEE.

关键词： Energy utilization

来源：评论

学校读者我要写书评

暂无评论

Kalman Filter Adaptive Speed Tracking Control for High-speed Trains with Noise Interference 7

Kalman Filter Adaptive Speed Tracking Control for High-speed...

引用

7th International Conference on intelligent Robotics and Control Engineering, IRCE 2024

作者： Zhang, Chunli Xie, Yuwei Yan, Lei Qian, Fucai Xi'an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing College of Automation and Information Engineering Xi'an China

ISBN: (纸本)9798350352399

In this paper, high-speed train is regarded as a single prime point, a new tracking control method combining adaptive control and Kalman filtering is proposed. This paper solves the noise interference problem in the tracking control process of high-speed train. The method first linearises the original system, then uses Kalman filtering to do model estimation, and the controller is designed for the predictive model through adaptive control. Finally, MATLAB is used to simulate and verify the effectiveness of this method. This proposed method successfully solves the problems of nonlinearity, noise interference and unknown parameters in system. The error caused by resistance in the high-speed train tracking control process can be dealt with effectively. © 2024 IEEE.

关键词： Kalman filters

来源：评论

学校读者我要写书评

暂无评论

Monitoring C-C coupling in catalytic reactions via machine-learned infrared spectroscopy

引用

国家科学评论（英文版） 2025年第2期12卷 171-179页

作者： Li Yang Zhicheng Zhao Tongtong Yang Donglai Zhou Xiaoyu Yue Xiyu Li Yan Huang Xijun Wang Ruyun Zheng Thomas Heine Changyin Sun Jun Jiang Sheng Ye Institutes of Physical Science and Information Technology School of Chemistry & Chemical Engineering Engineering Research Center of Autonomous Unmanned System Technology(Ministry of Education) Anhui Provincial Engineering Research Center for Unmanned System and Intelligent TechnologySchool of Artificial IntelligenceAnhui UniversityHefei 230601China Helmholtz-Zentrum Dresden-Rossendorf Dresden 01328Germany Theoretical Chemistry Technische Universität DresdenDresden 01069Germany Institutes of Physical Science and Information Technology School of Chemistry & Chemical Engineering Engineering Research Center of Autonomous Unmanned System Technology(Ministry of Education) Anhui Provincial Engineering Research Center for Unmanned System and Intelligent TechnologySchool of Artificial IntelligenceAnhui UniversityHefei 230601China Key Laboratory of Precision and Intelligent Chemistry School of Chemistry and Materials ScienceUniversity of Science and Technology of ChinaHefei 230088China Helmholtz-Zentrum Dresden-Rossendorf Dresden 01328Germany Theoretical Chemistry Technische Universität DresdenDresden 01069Germany

Tracking atomic structural evolution along chemical transformation pathways is essential for optimizing chemical transitions and enhancing ***,molecule-level knowledge of structural rearrangements during chemical processes remains a great ***,we couple infrared spectroscopy as a non-invasive method to probe molecular transformations,with a machine-learned protocol to immediately map the spectroscopic fingerprints to atomistic *** the theoretical perspective,we demonstrate it here with the example of C-C coupling in catalytic reactions,elucidating various structural conformations along dynamic *** the transferable application to the specific CO-CO dimerization reaction,the structural and energetic variations of the critical chemical species could be identified via infrared *** approach extends the power of spectroscopy from fingerprinting chemical configurations to using them for assigning dynamic structural information.

关键词： chemical evolution machine learning spectroscopic descriptor dynamic monitoring catalytic reaction

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：