检索结果-内蒙古大学图书馆

High-speed train positioning based on a combination of Beidou navigation, inertial navigation and an electronic map

Science China(Information Sciences) 2023年第7期66卷 237-252页

作者： Hui YANG Shuai-Qiang DONG Chun-Hua XIE School of Electrical and Automation Engineering East China Jiaotong University Key Laboratory of Advanced Control & Optimization of Jiangxi Province East China Jiaotong University State Key Laboratory of Performance Monitoring Protecting of Rail Transit Infrastructure East China Jiaotong University

To date, the studies on the combination positioning of high-speed trains have made great progress, but the positioning accuracy of these methods is relatively low. Map-matching positioning can improve positioning accuracy, but information transmission is time-consuming. Few studies incorporate it into combination positioning. To solve the problem, this paper proposes a high-speed train positioning method based on combining a Beidou navigation system, an inertial navigation system, and an electronic map. First, the combination positioning problem is transformed into a multi-objective optimization problem, which weights the direction similarity and distance error to form a fitness function and converts the railway line and the maximum error range of each positioning system into constraints. Second, an improved differential evolution algorithm is proposed to solve this problem. By referencing the gray wolf algorithm,the differential evolution algorithm updates individuals by varying toward the direction of multiple optimal values. Then, a new combination positioning algorithm for high-speed trains is proposed. In the simulation,the increase in positioning speed and accuracy is analyzed and validated. Compared to the current algorithms, the proposed algorithm performs better. The proposed method has practical value for improving the reliability and safety of train operations.

关键词： electronic map multi-objective optimization differential evolution algorithm Beidou navigation system high-speed train positioning

来源：评论

学校读者我要写书评

暂无评论

Prediction of Element Component Content Based on Mechanism Analysis and Error Compensation 4

Prediction of Element Component Content Based on Mechanism A...

引用

4th International Conference on Industrial Artificial Intelligence, IAI 2022

作者： Lu, Rongxiu Deng, Biao Ding, Kanghao Yang, Hui Zhu, Jianyong Liu, Hongliang School of Electrical and Automation Engineering East China Jiaotong University Key Laboratory of Advanced Control and Optimization of Jiangxi Province Jiangxi Nanchang330013 China

ISBN: (数字)9781665451208

ISBN: (纸本)9781665451208

To solve the difficulty of rapid and accurate detection of component content in the rare earth extraction process, a component content modeling method combining mechanism model and error compensation model based on just-in-time learning (JITL) was proposed. Considering the different dynamic characteristics of each section, the extraction section is simplified using the segmented-aggregation method, and the mechanism model of the rare earth extraction process based on material balance is established;in view of the error caused by the simplification of the model and the characteristics of some rare earth solutions with color features, the color features of rare earth solution samples are extracted by machine vision technology, and the error compensation model of the mechanism model is established by the just-in-time learning algorithm. Through the experimental verification of the field sample data of the praseodymium/neodymium (Pr/Nd) extraction process, the results show that the modeling method proposed in this paper is suitable for rapid and accurate detection of elemental component content in the rare earth extraction process with ionic color features. © 2022 IEEE.

关键词： Extraction

来源：评论

学校读者我要写书评

暂无评论

A Fault Detection Method and System for Highway Tunnel dome light Based on Improved YOLO with Locatization Loss Function 4

A Fault Detection Method and System for Highway Tunnel dome ...

引用

4th International Conference on Industrial Artificial Intelligence, IAI 2022

作者： Dai, Lizhen Tang, Cailing Yang, Gang Yang, Hui Luo, Jiang Chen, Zhaozhang East China Jiaotong University Key Laboratory of Advanced Control and Optimization of Jiangxi Province School of Electrical and Automation Engineering Jiangxi Nanchang330013 China

ISBN: (数字)9781665451208

ISBN: (纸本)9781665451208

Sufficient light intensity in the tunnel plays an extremely important role in ensuring the safety of driving in the tunnel. Tunnel dome light is the basic facility to ensure tunnel lighting. The traditional fault detection method is manual inspection, and the discovery of the problem is not timely. In this paper, a tunnel dome light fault detection method and system based on video monitoring is proposed. Constructing a tunnel dome light detection data set. The original positioning loss function in YOLOv5 is changed from CIOD_Loss function to SCALoss function, which is composed of side overlap (SO), corner distance (CD) and aspect ratio (AR) loss. So that the network can generate more penalties for low overlap positioning frames, and the network model has better positioning performance and faster convergence speed, it is more suitable for the dense and small target such as tunnel headlight. After improving the model, the recognition accuracy is improved by 13.1 %, and the positioning loss is also reduced. So that it can quickly and accurately locate the target to be detected. Finally, the fault lamp detection model is constructed to locate the specific location of the fault lamp. The experiment shows that the model has good performance, and it can effectively detect the state of tunnel dome light in real time and detect abnormal working conditions. © 2022 IEEE.

关键词： Location

来源：评论

学校读者我要写书评

暂无评论

Improvement and Application of Discrete State Transition Algorithm 4

Improvement and Application of Discrete State Transition Alg...

引用

4th International Conference on Industrial Artificial Intelligence, IAI 2022

作者： Lu, Rongxiu Liu, Hongliang Yang, Hui Dai, Wenhao School of Electrical and Automation Engineering East China Jiaotong University Key Laboratory of Advanced Control and Optimization of Jiangxi Province Jiangxi Nanchang330013 China

ISBN: (数字)9781665451208

ISBN: (纸本)9781665451208

Discrete state transition algorithm relies on the initial solution and can easily fall into the local optimum. This paper proposes an improved discrete state transition algorithm (CDSTA) for the above problem. Firstly, the genetic algorithm is used to initialize to obtain the initial solution with high quality and quickly approximate the optimal value. Secondly, the optimal recovery strategy reduces the number of iterations to accelerate the algorithm's convergence rate. Finally, the chaotic perturbation strategy is introduced. When the algorithm falls into the stagnation state, a chaotic sequence is generated by Tent mapping to get rid of the local extremum. Two single-peaked and three multi-peaked functions are used to experiment with the improved algorithm, and the performance is compared and analyzed with other algorithms. The results show that the improved algorithm's solution accuracy and convergence rate are better than other comparative algorithms. The application of the improved algorithm to the traveling salesman problem demon-strates that CDSTA has good practical engineering application potential. © 2022 IEEE.

关键词： Traveling salesman problem

来源：评论

学校读者我要写书评

暂无评论

Research on Traction optimization control Strategy for 10,000-Ton Heavy Haul Trains 19th

Research on Traction Optimization Control Strategy for 10,00...

引用

19th Annual Conference of China Electrotechnical Society, ACCES 2024

作者： Zhang, Kunpeng Tang, Junjie Yang, Hui School of Electrical and Automation Engineering East China Jiaotong University Nanchang330013 China Jiangxi Provincial Key Laboratory of Advanced Control and Optimization Nanchang330013 China State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure Jiangxi Nanchang330013 China

ISBN: (纸本)9789819613823

Aiming at the problems of difficult control of electric traction equipment for heavy haul trains and low accuracy of control models, a distributed fuzzy sliding mode optimization control strategy for heavy haul trains based on a predictive compensation model is proposed. Firstly, based on the complex road condition information of heavy haul railways, a longitudinal dynamics model of heavy haul trains is established. Then, a long short-term memory neural network (LSTM) optimized by the Northern Goshawk optimization (NGO) algorithm is used to predict and compensate the uncertain terms in the model. At the same time, a variable universe fuzzy algorithm (VUF) is used to improve the fast terminal sliding mode controller (FTSM). Finally, the improved controller is combined with the air braking strategy to jointly control the corrected model. The simulation results based on the heavy haul train operation simulation platform and real operation data show that the proposed method can effectively improve the handling stability and safety of 10,000-ton heavy haul trains. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Traction control

来源：评论

学校读者我要写书评

暂无评论

Distributed Kalman filtering over sensor networks with fading measurements and random link failures

引用

Journal of the Franklin Institute 2023年第4期360卷 2457-2475页

作者： Zhu, Mingyan Sui, Tianju Wang, Rui School of Control Science and Engineering Dalian University of Technology Dalian116024 China School of Aeronautics and Astronautics Dalian University of Technology Dalian116024 China Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian116024 China Key Laboratory of Advanced Technology for Aerospace Vehicles Liaoning Province Dalian116024 China

This paper investigates the distributed state estimation problem for a linear time-invariant system characterized by fading measurements and random link failures. We assume that the fading effect of the measurements occurs slowly. Additionally, communication failures between sensors can affect the state estimation performance. To this end, we propose a Kalman filtering algorithm composed of a structural data fusion stage and a signal date fusion stage. The number of communications can be decreased by executing signal data fusion when a global estimate is required. Then, we investigate the stability conditions for the proposed distributed approach. Furthermore, we analyze the mismatch between the estimation generated by the proposed distributed algorithm and that obtained by the centralized Kalman filter. Lastly, numerical results verify the feasibility of the proposed distributed method. © 2023 The Franklin Institute

关键词： State estimation

来源：评论

学校读者我要写书评

暂无评论

Study on the mechanism by which anaerobic organisms remove nitrogen and sulfur from low-C/N rare earth tail water simultaneously

引用

Environmental Science and Pollution Research 2025年第20期32卷 12277-12284页

作者： Zhou, Gengxin Xiong, Zhensheng Luo, Qingchun Yang, Liming Geng, Yanni Liu, Zhuochao Hu, Yi Key Laboratory of Jiangxi Province for Persistent Pollutants Prevention Control and Resource Reuse Nanchang330063 China School of Environment and Energy Peking University Shenzhen Graduate School Guangdong Shenzhen518055 China National Engineering Laboratory for Advanced Municipal Wastewater Treatment and Reuse Technology Beijing University of Technology Beijing100124 China ECO-ADVANCE CO LED Ganzhou Jiangxi341000 China

The low-C/N limits the simultaneous removal of the high sulfate and high ammonia nitrogen content in the rare earth tail water. How bacteria cycle sulfur and nitrogen in this environment is still unknown. As a result, there is a pressing need to treat such complicated tail water. This study built an anaerobic reactor to treat the rare earth tail water and employed anaerobic microorganisms. Following 104 days of operation, the rates of nitrogen removal for nitrate and nitrite are above 90%, and the removal rates of ammonia nitrogen and sulfate could reach 14.36 mg/(L·day) and 21.31 mg/(L·day), respectively. To identify the nitrogen and sulfur cycle in the reactor, the bacterial population and gene abundance were characterized using 16S rRNA sequencing and functional gene prediction. The results demonstrated that nitrogen from ammonia was primarily eliminated via assimilation, while nitrogen from nitrate was primarily eliminated by denitrification, which was strongly associated with Comamonas. The principal mechanism for eliminating the sulfate is assimilation, which is linked to the bacterium SBR1031. In conclusion, the nitrogen and sulfur cycle theoretically supports the simultaneous removal of sulfate and ammonia nitrogen from rare earth tail water under low-C/N circumstances. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Anaerobic bacteria Low-C/N Nitrogen-sulfur cycle Rare earth tail water

来源：评论

学校读者我要写书评

暂无评论

iCycleGAN: An Improved CycleGAN for Rain Streak Removal From Single Image 4

iCycleGAN: An Improved CycleGAN for Rain Streak Removal From...

引用

4th International Conference on Industrial Artificial Intelligence, IAI 2022

作者： Weng, Yuyu Yang, Gang Tang, Cailing Yang, Hui Lu, Rongxiu Xu, Fangping Luo, Jiang School of Electrical and Automation Engineering East China Jiaotong University Key Laboratory of Advanced Control and Optimization of Jiangxi Province Jiangxi Nanchang330013 China Jiangxi Fangxing Technology Co. Ltd. Jiangxi Nanchang330025 China

ISBN: (数字)9781665451208

ISBN: (纸本)9781665451208

On the one hand, although the supervised learning methods have been used for image rain removal task, such methods have obvious limitations because maybe there is no or only few paired images with-without rain. On the other hand, problems such as color distortion and the inpainting of background information is not clear enough also limit the processing effect of unsupervised methods for image rain removal. An improved CycleGAN (iCycleGAN) was proposed to remove rain streak from a single image. First of all, CycleGAN's transfer learning ability and cyclic structure can solve the problem of the lack of paired data sets. Secondly, a densely connected convolutional network (DenseNet) was added to the generator backbone network to improve the protection of high-frequency information such as background textures, and a CBAM attention mechanism was added to the generator to focus on the repaired area near the rain streak and obtain a clearer repaired image. Finally, feature perceptual loss was introduced to strengthen the constraint of image feature restoration and obtain more realistic results. In order to verify the effectiveness of the proposed method, training was conducted on Rain100L and Rian800 data sets. The comparison of experimental results shows that the model is superior to the existing unsupervised methods in the overall repair effect, and also has comparable inpainting effect compared with mainstream supervised methods. © 2022 IEEE.

关键词： Rain

来源：评论

学校读者我要写书评

暂无评论

Direct pyrolysis to convert biomass to versatile 3D carbon nanotubes/mesoporous carbon architecture:conversion mechanism and electrochemical performance

引用

Frontiers of Chemical Science and Engineering 2023年第6期17卷 679-690页

作者： Chenxi Xu Shunli Li Zhaohui Hou Liming Yang Wenbin Fu Fujia Wang Yafei Kuang Haihui Zhou Liang Chen College of Chemistry and Chemical Engineering Hunan UniversityChangsha 410082China Key Laboratory of Hunan Province for Advanced Carbon-Based Functional Materials School of Chemistry and Chemical EngineeringHunan Institute of Science and TechnologyYueyang 414006China Key Laboratory of Jiangxi Province for Persistent Pollutants Control and Resources Recycle Nanchang Hangkong UniversityNanchang 330063China School of Materials Science and Engineering Georgia Institute of TechnologyAtlantaGA 30332USA

The massive conversion of resourceful biomass to carbon nanomaterials not only opens a new avenue to effective and economical disposal of biomass,but provides a possibility to produce highly valued functionalized carbon-based electrodes for energy storage and conversion *** this work,biomass is applied to a facile and scalable one-step pyrolysis method to prepare three-dimensional(3D)carbon nanotubes/mesoporous carbon architecture,which uses transition metal inorganic salts and melamine as initial *** role of each employed component is investigated,and the electrochemical performance of the attained product is *** component and precise regulation of their dosage is proven to be the key to successful conversion of biomass to the desired carbon *** to the unique 3D architecture and integration of individual merits of carbon nanotubes and mesoporous carbon,the as-synthesized carbon nanotubes/mesoporous carbon hybrid exhibits versatile application toward lithium-ion batteries and Zn-air ***,a significant guidance on effective conversion of biomass to functionalized carbon nanomaterials can be shown by this work.

关键词： biomass direct pyrolysis 3D CNTs MC hybrid lithium-ion batteries Zn-air batteries

来源：评论

学校读者我要写书评

暂无评论

optimization Setting of Reagent Dosage in Rare Earth Extraction Process Based on JITL 4

Optimization Setting of Reagent Dosage in Rare Earth Extract...

引用

4th International Conference on Industrial Artificial Intelligence, IAI 2022

作者： Dai, Wenhao Yang, Hui Lu, Rongxiu Zhu, Jianyong Chen, Pengzhan School of Electrical and Automation Engineering East China Jiaotong University Key Laboratory of Advanced Control and Optimization of Jiangxi Province Jiangxi Nanchang China School of Intelligent Manufacture Taizhou University Zhejiang Taizhou China

ISBN: (数字)9781665451208

ISBN: (纸本)9781665451208

The mechanism of the rare earth extraction process is complex, and the extraction efficiency is greatly affected by the environment. The optimal dose setting value determined by the mechanism model is not the optimal setting value for the actual extraction process. In order to make the rare earth extraction process always run in the most economical state, this paper proposes an optimal setting approach for the dosage of the rare earth extraction process based on just-in-time learning (JITL). Firstly, according to the mechanism model of the rare earth extraction process, an optimization model of the rare earth extraction process with the goal of maximizing economic benefits is established, and the theoretical optimal dose value is obtained;Then, a local model of reagent dosage increment and economic benefit increment is established utilizing the JITL, and the dosage increment that maximizes the economic benefit increment is then obtained;Finally, the increment is applied to the rare earth production process, and the approach is iterated continuously to maximize the economic benefit. The simulation result of the CePr/Nd extraction process demonstrates the effectiveness of the proposed method. © 2022 IEEE.

关键词： Economic and social effects

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：