检索结果-内蒙古大学图书馆

Multifunctional regenerative buffering baffle device utilizing fluid-electromechanical interaction for automotive IoV applications

引用

Thin-Walled Structures 2025年 214卷

作者： Fang, Shitong Zhang, Zihao Guo, Yufeng Gao, Qiang Lai, Zhihui Bao, Bin Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots College of Mechatronics and Control Engineering Shenzhen University Shenzhen518060 China School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen518055 China Shenzhen University Shenzhen518060 China Department of Mechanical Engineering Southeast University Nanjing211189 China

The current field of automotive energy recovery primarily focuses on vehicle inertia, tire motion, and component vibrations. However, the potential for collecting vibrational energy from the fluid–structure interactions of air and liquid two-phase flows within tanker trucks equipped with anti-wave baffles remains largely unexplored. Typically, traditional anti-wave baffles in tanker trucks serve a single purpose: to reduce the inertial impact force of the internal liquid, thereby enhancing vehicular stability. This study proposes a regenerative buffering baffle device that combines anti-wave functionality with the innovative feature of energy harvesting. The proposed device utilizes an inverted Y-shaped baffle combined with a small portion of smart material to collect flow-induced vibrational energy to power low-power wireless sensors used for vehicle health monitoring. The fluid-electromechanical interaction between two-phase flow and smart baffle structures is investigated in detail. Optimized design parameters resulted in a harvested power output of 745.89 μW, while maintaining anti-wave performance equivalent to conventional anti-wave baffle designs. Additionally, a long-duration driving test demonstrated the continuous power supply capability of the proposed device for Internet of Vehicles (IoV) nodes, generating 774.99 mJ of energy over approximately one hour of operation. The proposed anti-wave baffle also boasts enhanced practicality due to its ease of disassembly and maintenance, setting it apart from traditional designs. © 2025 Elsevier Ltd

关键词： Two phase flow

来源：评论

学校读者我要写书评

暂无评论

Coordinated Topology Reconfiguration for Resilience Enhancement in Coupled Power-Transportation Networks Based on Autonomous EV Fleets

引用

IEEE Transactions on Transportation Electrification 2025年

作者： Liu, Yingnan Xue, Yixun Zhou, Zhe Han, Xiaoqing Chang, Xinyue Li, Zening Su, Jia Shahidehpour, Mohammad Sun, Hongbin Ministry of Education Energy Internet Key Laboratory of Shanxi Province Key Laboratory of Cleaner Intelligent Control on Coal and Electricity China Taiyuan University of Technology College of Electrical and Power Engineering Taiyuan030024 China Shanghai University Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronic Engineering and Automation Shanghai200072 China Illinois Institute of Technology Galvin Center for Electricity Innovation ChicagoIL United States

The tighter coupling of power and transportation networks necessitates a coordinated strategy to enhance the resilience of the coupled networks. Line switching, i.e., the reconfiguration of power distribution networks (PDNs), is a prevalent method to enhance the power system resilience. Similarly, topology reconfiguration in urban transportation networks (UTNs) can be achieved through adjustments in nodes and roads, which would entail crossing elimination and link contraflow. To address these issues, this paper proposes the topology reconfiguration in the coordinated of power and transportation networks (PTNs) for resilience enhancement. A two-stage recovery framework based on coordinated reconfiguration of PTN is developed. Stage I, i.e., the PTN fault isolation stage, coordinates the PDN line switching and UTN crossing elimination to prevent short-term PTN fault degradation along lines/links between the PDN and UTN. Stage II, i.e., the PTN service restoration stage, coordinates the PDN line switching and UTN link contraflow to reduce long-term UTN travel costs and recover PDN loads. Simultaneously, the flexibility of autonomous electric vehicles (AEVs) in UTNs are fully explored. AEVs are dispatched to supply power to PDN loads using the vehicle-to-grid (V2G) technique, while satisfying the individual customer's trip requests. Numerical studies are conducted to illustrate the effectiveness of PTN topology reconfiguration and the adoption of AEVs for resilience enhancement in PTN. Additionally, it is validated that AEVs can assist in restoring PDN power loads while the UTN reconfiguration can reduce travel costs. © 2015 IEEE.

关键词： Vehicle-to-grid

来源：评论

学校读者我要写书评

暂无评论

Mobile Robot Navigation Using ORB-SLAM3: A Multi-Modal Autonomous System

Mobile Robot Navigation Using ORB-SLAM3: A Multi-Modal Auton...

引用

2025 International Conference on Electrical automation and Artificial Intelligence, ICEAAI 2025

作者： Da Conceicao, Ariano Tian, Lianfang Du, Qiliang Yuan, Ling School of Automation Science and Engineering South China University of Technology Guangzhou510641 China Research Institute of Modern Industrial Innovation South China University of Technology Guangzhou China Guangdong Engineering Research Center of Cloud-Edge-End Collaboration Technology for Smart City Guangzhou China Key Laboratory of Autonomous Systems and Network Control of Ministry of Education Guangzhou China Guangzhou China Sino-Singapore International Joint Research Institute Guangzhou511363 China

ISBN: (纸本)9798331506797

Indoor mobile robots require reliable solutions for mapping, localization, and navigation tasks. This paper presents a mobile robot system that implements the ability to realize mapping using visual SLAM with ORB-SLAM3 and LiDAR-based mapping with Gmapping for indoor perception and navigation through a modular ROS architecture. The framework also implements autonomous navigation and an autonomous Rapidly-exploring Random Trees (RRT) exploration module with adaptive reset mechanisms. The system operates on a ROS-based platform equipped with an Intel RealSense D435i RGB-D camera and LDS-02 LiDAR scanner. Experimental validation in simulated indoor environments demonstrates the system's capabilities and the presented architecture achieves computational efficiency through selective utilization of mapping modules while maintaining mapping accuracy through complementary sensor modalities. © 2025 IEEE.

关键词： LiDAR SLAM Mapping Navigation ORBSLAM 3 ROS RRT

来源：评论

学校读者我要写书评

暂无评论

Generation mechanism and influencing factors of transient overvoltage on ultra high-voltage direct current transmission

引用

Frontiers in Energy Research 2025年 13卷

作者： Yao, Weiwei Zhao, Jie Dou, Jinqiu Deng, Youhan Li, Yushu Liang, Yilin Chen, Jing Laboratory of Hydro-Wind-Solar Multi-Energy Control Coordination Wuhan China Science and Technology Research Institute China Three Gorges Corporation Beijing China Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan University Wuhan University Wuhan China

The transient overvoltage caused by faults in ultra-high-voltage direct current (UHVDC) transmission lines and alternating current (AC) systems can adversely affect system safety and stability. This study theoretically analyzes the transient overvoltage generation mechanism caused by DC single-pole ground faults and typical fault conditions in two different cases by combining the DC line and AC system of the transmitting side. Considering the different generation mechanisms of the two transient overvoltages, the main factors affecting transient overvoltages were determined to be the DC line ground fault location, DC filter main capacitance, AC system short-circuit ratio, and DC transmission power. Finally, through a simulation of UHVDC transmission engineering, the relationship between various influencing factors and overvoltage was obtained, which can provide guidance in transmission engineering UHVDC design. Copyright © 2025 Yao, Zhao, Dou, Deng, Li, Liang and Chen.

关键词： Electromagnetic transients

来源：评论

学校读者我要写书评

暂无评论

Data-Driven Tracking control for Non-Affine Yaw Channel of Helicopter via Off-Policy Reinforcement Learning

引用

IEEE Transactions on Aerospace and Electronic Systems 2025年

作者： Zhang, Kun Luo, Shijie Wu, Huai-Ning Su, Rong The School of Astronautics Beihang University Beijing100191 China The Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Hangzhou International Innovation Institute Beihang University Hangzhou311115 China The School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore

This paper presents an off-policy tracking control scheme for the continuous-time non-affine yaw channel of unmanned aerial vehicle helicopter (UAVH). Firstly, the paper constructs an affine augmented system (AAS) within a parallel control structure to convert the original non-affine tracking error dynamics into affine dynamics. Secondly, the paper derives a stability criterion linking the non-affine system and the AAS, demonstrating that the obtained zero-sum policy from the AAS can achieve the H ∞ performance of the non-affine system. Thirdly, a data-driven off-policy tracking algorithm is designed for approximating the zero-sum solution of the Hamilton-Jacobi-Isaacs equations with unknown dynamics. Moreover, the recursive least squares process with a variable forgetting factor is employed to update the actor-critic neural network (NN) weights, with the algorithm's convergence being proven. Then, the uniformly ultimately bounded (UUB) of tracking errors is guaranteed. Finally, two application examples are offered in simulation to validate the effectiveness of this presented method. © 1965-2011 IEEE.

关键词： Stability criteria

来源：评论

学校读者我要写书评

暂无评论

Pathological axonal enlargement in connection with amyloidosis,lysosome destabilization,and bleeding is a major defect in Alzheimer’s disease

引用

Neural Regeneration Research 2026年第2期21卷 790-799页

作者： Hualin Fu Jilong Li Chunlei Zhang Guo Gao Qiqi Ge Xinping Guan Daxiang Cui Institute of Nano Biomedicine and Engineering School of Sensing Science and EngineeringSchool of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghaiChina Institute of Marine Equipment Shanghai Jiao Tong UniversityShanghaiChina National Center for Translational Medicine Shanghai Jiao Tong UniversityShanghaiChina Department of Automation Shanghai Jiao Tong UniversityShanghaiChina The Key Laboratory of System Control and Information Processing Ministry of EducationShanghaiChina

Alzheimer’s disease is a multi-amyloidosis disease characterized by amyloid-βdeposits in brain blood vessels,microaneurysms,and senile *** amyloid-βdeposition affects axon pathology has not been examined *** used immunohistochemistry and immunofluorescence staining to analyze the forebrain tissue slices of Alzheimer’s disease *** axonal amyloidosis with distinctive axonal enlargement was observed in patients with Alzheimer’s *** average,amyloid-β-positive axon diameters in Alzheimer’s disease brains were 1.72 times those of control brain ***,axonal amyloidosis was associated with microtubule-associated protein 2 reduction,tau phosphorylation,lysosome destabilization,and several blood-related markers,such as apolipoprotein E,alpha-hemoglobin,glycosylated hemoglobin type A1C,and *** destabilization in Alzheimer’s disease was also clearly identified in the neuronal soma,where it was associated with the co-expression of amyloid-β,Cathepsin D,alpha-hemoglobin,actin alpha 2,and collagen type *** suggests that exogenous hemorrhagic protein intake influences neural lysosome ***,the data showed that amyloid-β-containing lysosomes were 2.23 times larger than control ***,under rare conditions,axonal breakages were observed,which likely resulted in Wallerian *** summary,axonal enlargement associated with amyloidosis,micro-bleeding,and lysosome destabilization is a major defect in patients with Alzheimer’s *** finding suggests that,in addition to the well-documented neural soma and synaptic damage,axonal damage is a key component of neuronal defects in Alzheimer’s disease.

关键词： Alzheimer’s disease amyloid-β amyloidosis axonal enlargement hemoglobin hemorrhage lysosome destabilization neuropil thread tau Wallerian degeneration

来源：评论

学校读者我要写书评

暂无评论

A Single-Switch Coupled Inductor-based DC-DC Converter with High Gain and Low Voltage Stress

引用

IEEE Transactions on Power Electronics 2025年

作者： Hu, Xuefeng Chen, Yanlong Jia, Junqiang Huo, Liang He, Xuehan Hu, Cungang Anhui University of Technology Anhui Key Laboratory of Power Electronics and Motion Control Technology School of Electrical and Information Engineering Ma'anshan243032 China Anhui University of Technology School of Electrical and Information Engineering Maanshan243032 China Anhui University Hefei230601 China Anhui University Dean of Chuzhou Research Institute the Deputy Dean of School of Electrical Engineering and Automation China

In this paper, a novel single-switch DC-DC converter based on integrated two boost units and a three-windings coupled inductor with two switched capacitor networks is proposed for high voltage ratio conversion applications. The proposed converter can achieve wide range of voltage gain based on very low voltage stress of all semiconductor devices, and zero current turned-off for all diodes by the reasonable leakage inductance. Moreover, there is a constant potential difference between the ground of its input and output. The above features make the presented converter an excellent interface between the low voltage input source and the high voltage DC-link bus in the field of renewable energy power generation. In addition, the output capacitors in series of the proposed converter are charged and discharged alternately, which can effectively reduce the ripple of the output voltage from the inherent structure. Meanwhile, the inherent circuit structure not only suppresses the voltage spike of the switch, but also absorbs the leakage energy synchronously when the main switch is turned off, improving the efficiency of the converter. The theoretical characteristics of the converter are described in detail, and a 400W experimental prototype is built to prove the effectiveness of the converter. © 2025 IEEE.

关键词： Capacitor bank

来源：评论

学校读者我要写书评

暂无评论

EK-Net++: Real-time scene text detection with expand kernel distance and Epoch Adaptive Weight

引用

Expert Systems with Applications 2025年 267卷

作者： Zhu, Boyuan Chen, Xi Tang, Quan Chen, C.L. Philip Liu, Fagui Computer Science and Engineering South China University of Technology Guangzhou510006 China Cyberspace Security Research Center Peng Cheng Laboratory Shenzhen518066 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100080 China

Recently, scene text detection has received significant attention due to its wide applications. Accurate detection in complex scenes of multiple scales, orientations, and curvature remains a challenge. Component-based methods have emerged as the dominant approach for offering a more flexible way to achieve superior performance. However, Component-based methods employ the Vatti clipping algorithm for multi-instance training to handle the difficulty of arbitrary-shaped text. Yet we identify several bias results from these approaches called the "shrinked kernel" leading to decreased accuracy. Additionally, almost all text detection methods fail to consider the characteristics of different datasets and directly assign fixed loss weights to multi-instances. To address these limitations, we propose a new approach named Expand Kernel Network (EK-Net++), which presents the expand kernel distance map to compensate for the previous deficiency and incorporates three-stage regression to complete integral instance detection. Furthermore, we design the Epoch Adaptive Weight algorithm which dynamically distinguishes the characteristics of different datasets. EK-Net++ not only achieves precise positioning of arbitrary-shaped text but also strikes a balance between performance and speed. Evaluation results show that EK-Net++ attains state-of-the-art or competitive performance compared to other advanced methods, e.g., F-measure of 86.72% at 35.42 FPS on ICDAR 2015, F-measure of 85.83% at 40.13 FPS on CTW1500. © 2024 Elsevier Ltd

关键词： Epoch Adaptive Weight Expand kernel distance Real-time Scene text detection

来源：评论

学校读者我要写书评

暂无评论

Differentially Private Recursive Least Squares Estimation for ARX Systems with Multi-Participants

arXiv

引用

arXiv 2025年

作者： Tan, Jianwei Wang, Jimin Zhang, Ji-Feng Key Laboratory of Systems and Control Institute of Systems Science Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China School of Mathematical Sciences University of Chinese Academy of Sciences Beijing100049 China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Key Laboratory of Knowledge Automation for Industrial Processes Ministry of Education Beijing100083 China School of Automation and Electrical Engineering Zhongyuan University of Technology Zheng Zhou450007 China Key Laboratory of Systems and Control Institute of Systems Science Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China

This paper proposes a differentially private recursive least squares algorithm to estimate the parameter of autoregressive systems with exogenous inputs and multi-participants (MP-ARX systems) and protect each participant’s sensitive information from potential attackers. We first give a rigorous differential privacy analysis of the algorithm, and establish the quantitative relationship between the added noises and the privacy-preserving level when the system is asymptotically stable. The asymptotic stability of the system is necessary for ensuring the differential privacy of the algorithm. We then give an estimation error analysis of the algorithm under the general and possible weakest excitation condition without requiring the boundedness, independence and stationarity on the regression vectors. Particularly, when there is no regression term in the system output and the differential privacy only on the system output is considered, Ε-differential privacy and almost sure convergence of the algorithm can be established simultaneously. To minimize the estimation error of the algorithm with Ε-differential privacy, the existence of the noise intensity is proved. Finally, two examples are given to show the efficiency of the algorithm. Copyright © 2025, The Authors. All rights reserved.

关键词： Differential privacy

来源：评论

学校读者我要写书评

暂无评论

Distributed Event-Triggered Bandit Convex Optimization With Time-Varying Constraints

引用

IEEE Transactions on control of Network Systems 2025年

作者： Zhang, Kunpeng Yi, Xinlei Wen, Guanghui Cao, Ming Johansson, Karl H. Chai, Tianyou Yang, Tao Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China Ministry of Education Shanghai Institute of Intelligent Science and Technology National Key Laboratory of Autonomous Intelligent Unmanned Systems Frontiers Science Center for Intelligent Autonomous Systems Shanghai201210 China Southeast University School of Automation Nanjing210096 China University of Groningen Engineering and Technology Institute Groningen Faculty of Science and Engineering GroningenAG 9747 Netherlands KTH Royal Institute of Technology Division of Decision and Control Systems School of Electrical Engineering and Computer Science Stockholm10044 Sweden KTH Royal Institute of Technology Digital Futures Stockholm10044 Sweden

This paper considers the distributed bandit convex optimization problem with time-varying inequality constraints over a network of agents, where the goal is to minimize network regret and cumulative constraint violation. Existing distributed online algorithms solving this problem require that each agent broadcasts its decision to its neighbors at each iteration. However, communication resources are often limited. To better utilize communication resources, we propose a distributed event-triggered online primal-dual algorithm with two-point bandit feedback. Under several classes of appropriately chosen decreasing parameter sequences and non-increasing event-triggered threshold sequences, we establish dynamic network regret and network cumulative constraint violation bounds. These bounds are comparable to the results achieved by distributed event-triggered online algorithms with full-information feedback. Finally, a numerical example is provided to verify the theoretical results. © 2014 IEEE.

关键词： Optimization algorithms

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：