检索结果-内蒙古大学图书馆

8th International Workshop on Control Engineering and Advanced Algorithms, IWCEAA 2024

作者： Huang, Ying Lu, Yuanhong Zhang, Jie Zhang, Jingyue Guo, Haiping National Energy Power Grid Technology R&D Centre Guangzhou510663 China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou Guangzhou510663 China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou Guangzhou510663 China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou Guangzhou510663 China

ISBN: (纸本)9798331528881

The task scheduling problem in power systems is complex, especially when communication costs exceed computation costs. This paper proposes an improved HEFT algorithm with a node merging mechanism, merging nodes through hierarchical traversal to assign high-communication-cost tasks to the same processor, reducing communication overhead. Experiments with 499-dimensional and 1614-dimensional matrices from the power system show that the improved algorithm reduces completion time by 5ms and 2ms, respectively, compared to standard HEFT. © 2024 IEEE.

关键词： Scheduling algorithms

来源：评论

学校读者我要写书评

暂无评论

A Combined Inverse Kinematics Algorithm Using FABRIK with Optimization

arXiv

引用

arXiv 2022年

作者： Xu, Zichun Li, Yuntao Yang, Xiaohang Zhao, Zhiyuan Zhao, Jingdong Liu, Hong The State Key Laboratory of Robotics and System Harbin Institute of Technology Heilongjiang Province Harbin150001 China

Forward and backward reaching inverse kinematics (FABRIK) is a heuristic inverse kinematics solver that is gradually applied to manipulators with the advantages of fast convergence and generating more realistic configurations. However, under the high error constraint, FABRIK exhibits unstable convergence behavior, which is unsatisfactory for the real-time motion planning of manipulators. In this paper, a novel inverse kinematics algorithm that combines FABRIK and the sequential quadratic programming (SQP) algorithm is presented, in which the joint angles deduced by FABRIK will be taken as the initial seed of the SQP algorithm to avoid getting stuck in local minima. The combined algorithm is evaluated with experiments, in which our algorithm can achieve higher success rates and faster solution times than FABRIK under the high error constraint. Furthermore, the combined algorithm can generate continuous trajectories for the UR5 and KUKA LBR IIWA 14 R820 manipulators in path tracking with no pose error and permitted position error of the end-effector. Copyright © 2022, The Authors. All rights reserved.

关键词： Inverse kinematics

来源：评论

学校读者我要写书评

暂无评论

CSANet: Cross-Semantic Attention Network for Open-Set Object Recognition 38

CSANet: Cross-Semantic Attention Network for Open-Set Object...

引用

38th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2023

作者： Li, Yu Sun, Gan Liang, Wenqi Cheng, Pengchao Shenyang University of Technology Shenyang110870 China Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang Institute of Automation Shenyang110016 China Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Shenyang China University of Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9798350303636

With the increase of real-world scenarios such as robotics, urban rescue and autonomous driving, deep learning models are increasingly exposed to open-set scenarios where established methods should separate the known and unknown categories in the real world. However, most existing open-set recognition methods treat all features equally and focus on learning features that facilitate the discrimination of categories during the training, which is detrimental to the performance of models in the open world. In response to this challenge, we propose a novel framework based on a Cross-Semantic Attention Network (i.e., CSANet) to guide the model to explore more comprehensive features. In detail, we apply cross-semantic attention to guide both the high-level semantic features and a set of learnable category prototypes, which encourages the model to better characterise known categories and facilitates its ability to discriminate unknown categories in the open world. In addition, we develop a combined loss that widens the inter-category distance and narrows the intra-category distance, thus reserving the unknown categories a larger position in the feature space. Experimental results on several popular open-set recognition datasets demonstrate the effectiveness and efficiency of our method. © 2023 IEEE.

关键词： Attention Open-Set Recognition Prototype Learning

来源：评论

学校读者我要写书评

暂无评论

Multi-Type Electric Vehicle Schedulability Modeling Method based on User Charging Behavior Characteristics 11

Multi-Type Electric Vehicle Schedulability Modeling Method b...

引用

11th China International Conference on Electricity Distribution, CICED 2024

作者： Xue, Yinjuan Chen, Qifang Cai, Haiqing Xia, Mingchao Gu, Haohan School of Electrical Engineering Beijing Jiaotong University Beijing China State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&d Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9798350368345

With the rapid proliferation of Electric Vehicles (EV s), effectively leveraging the regulation potential of EV charging loads has become a prominent issue. This paper proposes a multi-type EV schedulability modeling method based on the analysis of charging behavior characteristics of different user types. The model comprehensively considers the charging characteristics of various types of EV s, including private cars, ride-hailing vehicles, and taxis, utilizing a charging start-stop probability distribution model. Case studies demonstrate that this model can not only accurately reflect the charging demands of EV s but also provide valuable references for strategies involving EV fleet participation in grid regulation. © 2024 IEEE.

关键词： Charging stations

来源：评论

学校读者我要写书评

暂无评论

Inland river vessel traffic flow prediction based on environment knowledge embedding and spatial-temporal information extraction 7

Inland river vessel traffic flow prediction based on environ...

引用

7th IEEE International Conference on Transportation Information and Safety, ICTIS 2023

作者： Huang, Chen Chen, Deshan Fan, Tengze Wu, Bing Wuhan University of Technology State Key Laboratory of Maritime Technology and Safety Wuhan China Intelligent Transportation System Research Center Wuhan University of Technology Wuhan China National Engineering Research Center for Water Transportation Safety Wuhan China

ISBN: (纸本)9798350308532

Accurate and reliable vessel traffic flow prediction technology is of increasing concern to maritime regulatory authorities due to the growing demand for inland waterway shipping and the rapid increase of vessel traffic. Vessel navigation is not only influenced by nearby vessels, but also vulnerable to environmental factors. The existing inland vessel traffic flow prediction (IVTFP) methods often ignore the spatial correlation within the vessel traffic flow and the correlation from the external environment, leading to the accuracy of IVTFP not meeting the actual needs. Therefore, this paper proposes an IVTFP model based on environmental knowledge embedding and spatial-temporal graph attention networks. The environmental factors of traffic flow are described by knowledge graph and transformed into the form of matrix by knowledge representation learning algorithm. After that, the knowledge matrix is fused with the traffic flow data using the knowledge embedding module, and it is inputted to the spatial-temporal graph attention network. The experimental results on real experimental dataset show that the model improves the prediction accuracy of IVTFP, and gets better prediction results in upstream and downstream prediction, long-term prediction, and has good robustness. © 2023 IEEE.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Phased berthing trajectory planning method based on Bezier curves for inland vessels 8

Phased berthing trajectory planning method based on Bezier c...

引用

8th International Conference on Traffic Engineering and Transportation system, ICTETS 2024

作者： Yan, Wenzhou Wang, Jun Liu, Chenguang He, Zhibo Chen, Huimin Chu, Xiumin State Key Laboratory of Maritime Technology and Safety Wuhan University of Technology Wuhan China School of Transportation and Logistics Engineering Wuhan University of Technology Wuhan China Intelligent Transport System Research Center Wuhan University of Technology Wuhan China China Classification Society Wuhan Branch Product Department Wuhan China

ISBN: (数字)9781510686298

ISBN: (纸本)9781510686281

To handle the berthing trajectory planning problem for inland vessels, this paper proposes a phased berthing trajectory planning method based on Bezier curves with multiple constraints and uncertainties. A maneuvering model group (MMG) model for twin-propeller twin-rudder inland vessels is built with considering the influence of current and wind. Then, a trajectory planning method accounting for multiple constraints is proposed. Bezier curves are used to plan the berthing trajectory waypoints, and the least squares fitting method is applied to convert the discrete waypoints into a continuous and differentiable reference trajectory. By combining the vessel kinematic characteristics with a speed assignment mechanism, the berthing trajectory is divided into multiple segments, with each segment assigned an appropriate speed. The trajectory is further endowed with time, heading, and speed. Finally, Wuhan Yangluo Port is used as a simulation environment to compare the effectiveness of the proposed berthing trajectory planning method with the traditional path planning method by using a proportional integral derivative (PID) control method. The simulation results show that the proposed method can control the vessel heading error to within 10° and the berthing residual speed to below 0.03 m/s when the vessel is stabilizing, demonstrating a certain advantage over traditional methods. © 2024 SPIE.

关键词： Maneuverability

来源：评论

学校读者我要写书评

暂无评论

Fault diagnosis for small samples based on VMR

Fault diagnosis for small samples based on VMR

引用

2024 China Automation Congress, CAC 2024

作者： Wu, Xuejin Wu, Yali Hu, Yanghu Department of Information and Control Engineering Xi'an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an710048 China State Key Laboratoiy of Metal Extrusion and Forging Equipment Technology China National Heavy Machinery Research Institute Co. Ltd Xi'an710016 China

ISBN: (纸本)9798350368604

The scarcity of fault samples presents a significant challenge for fault diagnosis in industrial processes. Conventional methods often fail to deliver satisfactory results when dealing with small sample sizes. In addressing the issue of small sample fault diagnosis in industrial processes, this paper utilizes the Variational Mode Reconstruction(VMR) algorithm to screen the best components decomposed by the Variational Mode Decomposition(VMD) through the envelope entropy then random weighting them and signal reconstruction to achieve data enhancement, to enrich the sample size and to prevent the model overfitting phenomenon due to the scarcity of samples. Meanwhile, this paper integrates Convolutional Neural Network (CNN) and Long Short-term Memory Neural Network (LSTM) to propose a network model of spatio-temporal feature fusion for feature extraction and classification. The experiments demonstrate that this model not only enhances data diversity but also ensures consistency before and after enhancement, effectively mitigating overfitting. Furthermore, it guarantees high recognition and generalization rates in fault diagnosis. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Tissue Surface-enhanced Raman Spectroscopy Combined with Machine Learning Algorithms for Rapid Detection of Alveolar Echinococcosis 25

Tissue Surface-enhanced Raman Spectroscopy Combined with Mac...

引用

25th IEEE China Conference on system Simulation technology and its Application, CCSSTA 2024

作者： Huang, Jiahui Zheng, Xiangxiang Lv, Guodong Li, Xiaojing Wu, Guohua Xu, Liang Tianjin University of Technology Tianjin Key Laboratory of Complex System Control Theory and Application Tianjin China The First Affiliated Hospital of Xinjiang Medical University State Key Laboratory of Pathogenesis Prevention and Treatment of High Incidence Diseases in Central Asia Urumqi China Beijing University of Posts and Telecommunications School of Electronic Engineering Beijing China

ISBN: (纸本)9798350366600

Alveolar echinococcosis (AE) remains a serious worldwide public health problem as a very harmful human tapeworm disease. Rapid and accurate diagnosis of AE is crucial for treatment and postoperative recovery. This study explored the applicability of tissue surface Raman spectroscopy (SERS) combined with machine learning for rapid AE detection. Specifically, liver tissue section samples were obtained by creating an AE mouse model and SERS spectra were acquired. Five kinds of machine learning methods were used to construct AE diagnosis model, among which the linear kernel support vector machine (SVM) model had the best classification result, and the accuracy rate reached 95.7%. Then, the linear SVM model was subjected to feature significance analysis, which demonstrated that the biochemicals corresponding to the spectra of 641,716 and 1372 cm-1 might be potential biomarkers. Gaussian noise is further added to test the noise interference resistance of different machine learning algorithms, and it is found that SVM with Gaussian radial basis function (RBF) kernel function has better noise interference resistance. The results show that tissue SERS spectroscopy combined with SVM algorithm for rapid detection of AE has a promising application. © 2024 IEEE.

关键词： Raman scattering

来源：评论

学校读者我要写书评

暂无评论

Simulation study of a spider-like robot based on leg reorganization

Simulation study of a spider-like robot based on leg reorgan...

引用

2021 IEEE International Conference on Real-Time Computing and robotics, RCAR 2021

作者： Wang, Shu Qi Fan, Ji Zhuang Zhang, Kuan Zhang, Wei Liu, Gang Feng Zhao, Jie Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin China Harbin University of Science and Technology College of Mechanical and Power Engineering Harbin China

ISBN: (纸本)9781665436786

This paper presents a four-legged bionic robot based on leg reorganization with the hunter spider as the bionic research object. By studying the biological structure of the hunter spider, its movement mode, and the characteristics of limb movement during the conversion process is analyzed and the principle of wheel and foot conversion of the robot is obtained. The three-dimensional model of the bionic robot is designed, and the overall assembly of the bionic structure model is completed. The rationality of the design of the bionic structure is initially verified by the leg reorganization. The virtual prototype is built by adding constraints to realize the bionic motion simulation, including in-situ rotary motion, foot-wheel conversion motion, wheel motion, wheel-foot conversion motion, foot motion, which provides a theoretical basis for the development of the physical prototype and the selection of hardware. © 2021 IEEE.

关键词： Wheels

来源：评论

学校读者我要写书评

暂无评论

A survey of the pursuit-evasion problem in swarm intelligence

引用

Frontiers of Information technology & Electronic Engineering 2023年第8期24卷 1093-1116页

作者： Zhenxin MU Jie PAN Ziye ZHOU Junzhi YU Lu CAO State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and RoboticsCollege of EngineeringPeking UniversityBeijing 100871China National Innovation Institute of Defense Technology Beijing 100071China

For complex functions to emerge in artificial systems,it is important to understand the intrinsic mechanisms of biological swarm behaviors in *** this paper,we present a comprehensive survey of pursuit–evasion,which is a critical problem in biological ***,we review the problem of pursuit–evasion from three different perspectives:game theory,control theory and artificial intelligence,and bio-inspired *** we provide an overview of the research on pursuit–evasion problems in biological systems and artificial *** summarize predator pursuit behavior and prey evasion behavior as predator–prey ***,we analyze the application of pursuit–evasion in artificial systems from three perspectives,i.e.,strong pursuer group *** evader group,weak pursuer group *** evader group,and equal-ability ***,relevant prospects for future pursuit–evasion challenges are *** survey provides new insights into the design of multi-agent and multi-robot systems to complete complex hunting tasks in uncertain dynamic scenarios.

关键词： Swarm behavior Pursuit-evasion Artificial systems Biological model Collective motion

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：