检索结果-内蒙古大学图书馆

IEEE Transactions on intelligent Vehicles 2024年 1-15页

作者： Xie, Yizhou Zhang, Yong Yin, Chengliang Huang, Hongcheng dai, Kunpeng National Engineering Laboratory for Automotive Electronic Control Technology Shanghai Jiao Tong University Shanghai China Shanghai Intelligent and Connected Vehicle R&D Center Shanghai China

Scenario-based test is recognized as an effective way to evaluate and verify the Safety of the Intended Functionality (SOTIF) of an autonomous driving system, and a critical-scenario is beneficial to foreground the system defect more obviously. However, for the state of the art, time consumption of critical-scenario-search in a real-time test is still high, especially for searching critical-scenarios with dissimilarities, which assists designers in discovering more failure modes of autonomous in limited time. To address above challenges, in this paper, we improve our previous scenario-searching approach considering dissimilarity assessments in iterations, we present a searching framework which combines control and exploration approaches, and implement the efficient evolution of scenarios with a backward target-tree search. We carry out a Vehicle-in-the-Loop (VIL) test with a real vehicle to verify our new approach, and the results show that the approach is able to search for scenarios directly against a black-box system in a real-time test, and achieve scenarios with both high criticality and dissimilarity, including unknown-unsafe cases. In our time-limited test, compared with different methods, our approach can achieve 1.9 times the amount of diversified scenarios with the almost same (slightly higher) criticality, either achieve 1.5 times the amount attached with 75% improvement in criticality. IEEE

关键词： real time systems

来源：评论

学校读者我要写书评

暂无评论

A Line Complex-Based Evolutionary Algorithm for Many-Objective Optimization

引用

IEEE/CAA Journal of Automatica Sinica 2023年第5期10卷 1150-1167页

作者： Liang Zhang Qi Kang Qi deng Luyuan Xu Qidi Wu the Department of Control Science and Engineering Tongji UniversityShanghai 201804 the Jiangsu Province Support Software Engineering R&D Center for Modern Information Technology Application in Enterprise Suzhou 215104China the Shanghai Institute of Intelligent Science and Technology Tongji UniversityShanghai 200092China

In solving many-objective optimization problems(MaO Ps),existing nondominated sorting-based multi-objective evolutionary algorithms suffer from the fast loss of selection *** candidate solutions become nondominated during the evolutionary process,thus leading to the failure of producing offspring toward Pareto-optimal front with *** we find a more effective way to select nondominated solutions and resolve this issue?To answer this critical question,this work proposes to evolve solutions through line complex rather than solution points in Euclidean ***,Plücker coordinates are used to project solution points to line complex composed of position vectors and momentum *** position vectors of the solution points,momentum vectors are used to extend the comparability of nondominated solutions and enhance selection ***,a new distance function designed for high-dimensional space is proposed to replace Euclidean distance as a more effective distancebased *** on them,a novel many-objective evolutionary algorithm(MaOEA)is proposed by integrating a line complex-based environmental selection strategy into the NSGAⅢ*** proposed algorithm is compared with the state of the art on widely used benchmark problems with up to 15 *** results demonstrate its superior competitiveness in solving MaOPs.

关键词： Environmental selection line complex many-objective optimization problems(MaOPs) Plücker coordinate

来源：评论

学校读者我要写书评

暂无评论

Highly Weak-light Sensitive and dual-band Switchable Photodetector Based on CuI/Si Unilateral Heterojunction

引用

无机材料学报 2024年第9期39卷 1063-1069页

作者： YANG Jialin WANG Liangjun rUAN Siyuan JIANG Xiulin YANG Chang Key Laboratory of Polar Materials and Devices(MOE) Shanghai Center of Brain-inspired Intelligent Materials and DevicesDepartment of ElectronicsEast China Normal UniversityShanghai 200241China Institute of Intelligent Flexible Mechatronics Jiangsu UniversityZhenjiang 212013China Cell R&D Center JA Solar Holdings Co.LtdYangzhou 225000China

In recent years,copper iodide(CuI)is an emerging p-type wide bandgap semiconductor with high intrinsic Hall mobility,high optical absorption and large exciton binding ***,the spectral response and the photoelectric conversion efficiency are limited for CuI-based heterostructure devices,which is related to the difficulty in fabrication of high-quality CuI thin films on other *** this study,a p-CuI/n-Si photodiode has been fabricated through a facile solid-phase iodination *** the CuI thin film is polycrystalline with obvious structural defects,the CuI/Si diode shows a high weak-light sensitivity and a high rectification ratio of 7.6×10^(4),indicating a good defect *** is because of the unilateral heterojunction behavior of the formation of the p^(+)n *** this work,the mechanism of photocurrent of the p^(+)n diode has been studied *** monochromatic lasers with wavelengths of 400,505,635 and 780 nm have been selected for testing the *** zero-bias voltage,the device is a unilateral heterojunction,and only visible light can be absorbed at the Si *** the other hand,when a bias voltage of-3 V is applied,the photodiode is switched to a broader“UV-visible”band response ***,the detection wavelength range can be switched between the“Visible”and“UV-visible”bands by adjusting the bias ***,the obtained CuI/Si diode was very sensitive to weak light illumination.A very high detectivity of 10^(13)-1014 Jones can be achieved with a power density as low as 0.5μW/cm^(2),which is significantly higher than that of other Cu-based *** findings underscore the high application potential of CuI when integrated with the traditional Si industry.

关键词： er iodide heterojunction photodetector

来源：评论

学校读者我要写书评

暂无评论

Axial Assembled Correspondence Network for Few-Shot Semantic Segmentation

引用

IEEE/CAA Journal of Automatica Sinica 2023年第3期10卷 711-721页

作者： Yu Liu Bin Jiang Jiaming Xu School of Automation Science and Engineering South China University of TechnologyGuangzhou 510640 R&D Center of Precision Electronic Manufacturing Technology Guangzhou Institute of Modern Industrial Technologyand also with the High Performance Motor and Intelligent Control Engineering Technology Research Center of Guangdong ProvinceGuangzhou 511458China School of Automation Science and Engineering South China University of TechnologyGuangzhou 510640China IEEE

Few-shot semantic segmentation aims at training a model that can segment novel classes in a query image with only a few densely annotated support *** remains a challenge because of large intra-class variations between the support and query *** approaches utilize 4d convolutions to mine semantic correspondence between the support and query ***,they still suffer from heavy computation,sparse correspondence,and large *** propose axial assembled correspondence network(AACNet)to alleviate these *** key point of AACNet is the proposed axial assembled 4d kernel,which constructs the basic block for semantic correspondence encoder(SCE).Furthermore,we propose the deblurring equations to provide more robust correspondence for the aforementioned SCE and design a novel fusion module to mix correspondences in a learnable *** on PASCAL-5~i reveal that our AACNet achieves a mean intersection-over-union score of 65.9%for 1-shot segmentation and 70.6%for 5-shot segmentation,surpassing the state-of-the-art method by 5.8%and 5.0%respectively.

关键词： Artificial intelligence computer vision deep convolutional neural network few-shot semantic segmentation

来源：评论

学校读者我要写书评

暂无评论

Multi-Channel Based on Attention Network for Infrared Small Target detection

引用

Journal of Shanghai Jiaotong university(Science) 2024年第3期29卷 414-427页

作者：张彦军王碧云蔡云泽 Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China Shanghai Institute of Aerospace Control Technology Shanghai 201109China Infrared Detection Technology R&D Center of China Aerospace Science and Technology Corporation Shanghai 201109China Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai 200240China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240China Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Jiao Tong UniversityShanghai 200240China Institute of Marine Equipment Shanghai Jiao Tong UniversityShanghai 200240China

Infrared detection technology has the advantages of all-weather detection and good concealment,which is widely used in long-distance target detection and tracking ***,the complex background,the strong noise,and the characteristics of small scale and weak intensity of targets bring great difficulties to the detection of infrared small targets.A multi-channel based on attention network is proposed in this paper,aimed at the problem of high missed detection rate and false alarm rate of traditional algorithms and the problem of large model,high complexity and poor detection performance of deep learning ***,given the difficulty in extracting the features of infrared multiscale and small dim targets,the multiple channels are designed based on dilated convolution to capture multiscale target ***,the coordinate attention block is incorporated in each channel to suppress background clutters adaptively and enhance target *** addition,the fusion of shallow detail features and deep abstract semantic features is realized by synthesizing the contextual attention fusion ***,it is verified that,compared with other state-of-the-art methods based on the datasets SIrST and MdFA,the proposed algorithm further improves the detection effect,and the model size and computational complexity are smaller.

关键词： infrared image small target detection deep learning attention mechanism feature fusion

来源：评论

学校读者我要写书评

暂无评论

A Comparative Study on the Failure detection Methods Using Time-Series data Image Generation and CNN for driving Module of Cobots 9

A Comparative Study on the Failure Detection Methods Using T...

引用

9th International Conference on control, decision and Information Technologies, CodIT 2023

作者： Choi, Seung-Hwan Park, Jun-Kyu An, dawn Kim, Chang-Hyun Park, Gunseok Park, Jongbum Kim, Tae-Keun Jung, Byungjin Lee, Suwoong Korea Institute of Industrial Technology Advanced Mechatronics R&d Group Korea Republic of Korea Electric Power Research Institute Renewable Energy Solution Group Korea Republic of Korea Electronics Technology Institute Intelligent Robotics Research Center Korea Republic of

ISBN: (纸本)9798350311402

The objective of this study was to propose the method to detect failure in the driving module of collaborative robots (cobots). We used three image generation algorithms and four convolutional neural network (CNN) models to detect failures and compared the performance of the models using the time-series vibration data acquired from the durability test of the driving module for cobots. We used recurrence plot, Gramian angular field, and spectrogram as image generation models and applied AlexNet, GoogleNet, resNet, and denseNet as CNN models. We generated images from time-series data, and using the images as input, we applied CNN models to detect failures. Subsequently, the detection accuracy for each image generation and CNN model was calculated and compared. The results of this study indicate that the spectrogram and resNet models are relatively superior image generation and detection methods, respectively, compared to other methods. © 2023 IEEE.

关键词： Neural network models

来源：评论

学校读者我要写书评

暂无评论

control, Modeling and Stability Analysis of drU-based Grid-forming Converter

引用

Chinese Journal of Electrical Engineering 2025年第1期11卷 83-92页

作者： Wencong Wu Minzhi Wang Liang Tu Haiqing Cai Guanglei Yan Xiaohui Qu Haohan Gu Wei Chen State Key Laboratory of HVDC China Southern Power GridGuangzhou 510663China National Energy Power Grid Technology R&D Center Guangzhou 510663China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power Systems China Southern Power GridGuangzhou 510663China CSG Key Laboratory for Power System Simulation China Southern Power GridGuangzhou 510663China School of Electrical Engineering Southeast UniversityNanjing 210096China

diode rectifier unit(drU)-based high-voltage direct current(HVdC)transmissionsystems areeffectivein achieving the stableandeconomical operation of offshore *** theuncontrollable characteristicsof drUs,a grid-forming(GFM)strategy forwind-turbine converters isnecessary to support offshore AC voltageand ***,the active power-synchronization control in traditional GFM converters is unsuitable for drU-based GFM ***,the stability issue for drU-based HVdC systems involving drU-based GFM and grid-following(GFL)converters has not yet been *** solve these issues,this study begins with the characteristics of a drU-based HVdC system and presents a control scheme for drU-based GFM converters for power ***,the dq-frame impedance model of the drU-based GFM converteris proposed for the stability analysis of the entire HVdC ***,a simulation platform is built to verify the model accuracy and system stability.

关键词： diode rectifier unit offshore wind-powergeneration grid-forming converter impedance model stabilityanalysis

来源：评论

学校读者我要写书评

暂无评论

T-KMGA a Two-Stage Approach for Collaborative Task Allocation with Air-Sea Heterogeneous Autonomous Unmanned Systems

T-KMGA a Two-Stage Approach for Collaborative Task Allocatio...

引用

International Conference on Guidance, Navigation and control, ICGNC 2024

作者： Chen, Xinyu Qi, Juntong Peng, Yan Ping, Yuan Wu, Chong Wang, Mingming Institute of Artificial Intelligence Shanghai University Shanghai China EFY Intelligent Control (Hainan) Technology Co. Ltd. R&D Center Hainan China Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System Institute of Electrical and Information Engineering Tianjin University Tianjin China

ISBN: (纸本)9789819622634

This paper introduces a two-stage method, combining K-means++ and a modified genetic algorithm (T-KMGA), aimed at simplifying collaborative task allocation complexity and enhancing operational efficiency within heterogeneous autonomous task allocation unmanned systems. The proposed T-KMGA constructs a solution for task allocation through two stages: task clustering and path planning. In the first stage, we develop a modified K-means++ clustering model sensitive to unmanned aerial vehicle (UAV) endurance radii to tackle the increasing complexity of task allocation as the scale of tasks grows. In the second stage, we propose a modified genetic algorithm to plan paths for multiple UAVs and a single unmanned surface vehicle (USV) to minimize the execution time of cooperative tasks. We adopt a virtual node encoding method to solve the multiple UAV task allocation problem in the second stage. The effectiveness of the proposed approach is assessed through simulation experiments. The results demonstrate that the proposed method can significantly reduce task execution time and computational consumption, especially in large-scale task scenarios. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： air-sea heterogeneous unmanned systems cooperative task allocation genetic algorithms k-means++ Task allocation

来源：评论

学校读者我要写书评

暂无评论

Optimized Adaptive Three-Phase Active Inductance Considering Multiple Factors 2

Optimized Adaptive Three-Phase Active Inductance Considering...

引用

2nd IEEE International Power Electronics and Application Symposium, PEAS 2023

作者： Shen, Longling Zhu, Guorong Liu, Feng Wang, Haoran Wang, Qian School of Automation Wuhan University of Technology Wuhan China Yantai Power Supply Company State Grid Shandong Electric Power Company Yantai China Three Gorges Intelligent Control Technology Co. Ltd R&d Center Wuhan China

ISBN: (纸本)9798350313765

Based on the topology of active inductance, an optimized adaptive three-phase active inductance control strategy considering multiple factors is proposed, and the proposed optimized adaptive active inductance is applied to the grid-side filtering of the variable frequency speed motor drive system to replace the passive inductor. Compared with the adaptive control based on grid-side current THd, this paper adds a dC bus current ripple adaptive control loop and a working condition judgment loop on this basis, which can not only further reduce the 100Hz and 200Hz harmonics generated under unbalanced working conditions, but also reduce the third harmonic on the grid-side, thereby further improving power quality. Through the dynamic characteristics simulation and comparison experiments of multiple control strategies, it can be seen that the optimized adaptive three-phase active inductor reduces the grid-side current THd and dC bus current ripple under different working conditions.4 © 2023 IEEE.

关键词： harmonic suppression optimize adaptive control power quality three-phase active inductor

来源：评论

学校读者我要写书评

暂无评论

Low-Frequency Structure-Borne Noise Identification Based on FastICA-WPA Algorithm 8

Low-Frequency Structure-Borne Noise Identification Based on ...

引用

8th IEEE International Conference on Advanced robotics and mechatronics, ICArM 2023

作者： Liu, Qiang Zhu, Jianxin Sunward Intelligent Equipment Co. Ltd. National Enterprise R&D Center Hunan Research Center of Geotechnical Construction Equipment and Control Engineering Changsha410100 China Central South University State Key Laboratory for High Performance Complex Manufacturing Changsha410100 China

ISBN: (纸本)9798350300178

Low-frequency structure-borne noise in enclosed space is easy to produce booming sensation, which seriously affects the auditory comfort. But its sources are complex and the transmission path is strongly coupled, meanwhile it is difficult to be directly measured by experiments, so making identification difficult. To address the problem of decoupling multi-source mixed signals, this paper proposes a low-frequency structure-borne noise identification method based on FastICA-WPA algorithm. Using FastICA (Fast algorithm of Independent Component Analysis) algorithm to identify the structure-borne noise components in single-channel noise, then WPA (Wavelet Packet Analysis) method is applied to identify the low-frequency components of structure-borne noise. Finally decouple the contribution of low-frequency structure-borne noise. This method is applied to an intelligent excavator cab. The correctness of the method is verified by applying vibration signal correlation analysis. The identification algorithm lays the foundation for developing a low-frequency structure-borne noise control strategy. © 2023 IEEE.

关键词： Independent component 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：