检索结果-内蒙古大学图书馆

Size-induced axial segregation of binary mixtures in rotating drum of different lengths

Chemical engineering Science 2025年 316卷

作者： Jielong He Yuelei Wang Liuyimei Yang Jin Xu Qijun Zheng Sida Liu Zongyan Zhou Jiangxi Provincial Key Laboratory of Particle Technology Jiangxi University of Science and Technology Nanchang 330013 China Research Centre for Intelligent Mineral Processing & Metallurgy International Institute for Innovation Jiangxi University of Science and Technology Nanchang 330013 China Ganjiang Innovation Academy Chinese Academy of Sciences Ganzhou 341000 China Centre for Simulation and Modelling of Particulate Systems Monash-Southeast University Joint Research Institute Suzhou 215123 China ARC Research Hub for Smart Process Design and Control Department of Chemical and Biological Engineering Monash University Melbourne VIC 3800 Australia

This study investigates the size-induced axial segregation of binary mixtures in rotating drums, particularly focusing on the effect of drum length. The results indicate that long drums require more time to achieve stable segregation and form more segregation bands. The core region under the free bed surface remains predominantly filled with small particles, indicating that radial segregation occurs simultaneously with the axial segregation. The angle of repose of large particle bands is consistently greater than that of small particle bands, which drives the migration of large particles. Short drums are more sensitive to changes in rotational speed, while long drums with moderate rotational speed promote the formation of segregation bands. The width of small particle bands shows an increasing–decreasing-stabilizing trend with the drum length increasing. An analysis of particle velocities reveals that the characteristics of segregation bands are closely related to the relative velocity difference between large and small particles.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Advancing EV fast charging: Addressing power mismatches through P2P optimization and grid-EV impact analysis using dragonfly algorithm and reinforcement learning

引用

Applied Energy 2025年 394卷

作者： Jian Chen Muhammad Aurangzeb Sheeraz Iqbal Md Shafiullah Ambe Harrison School of Intelligent Engineering of Fuzhou Polytechnic Fuzhou 350108 China School of Electrical Engineering Southeast University Nanjing China Interdisciplinary Research Center for Sustainable Energy Systems (IRC-SES) King Fahd University of Petroleum & Minerals Dhahran 31261 Saudi Arabia Control & Instrumentation Engineering Department King Fahd University of Petroleum & Minerals Dhahran 31261 Saudi Arabia Department of Biosciences Saveetha School of Engineering. Saveetha Institute of Medical and Technical Sciences Chennai - 602 105 Centre for Research Impact & Outcome Chitkara University Institute of Engineering and Technology Chitkara University Rajpura 140401 Punjab India Applied Science Research Center. Applied Science Private University Amman Jordan

In the wake of escalating interest in sustainable transportation, electric vehicles (EVs) have emerged as a pivotal solution. With their rising prominence, the need for expeditious and effective charging solutions has intensified. However, current paradigms fail to deal with fast charging system integration issues into the existing power grid. EV fast charging, power mismatch amelioration, and pioneering optimization are studied in the paper. In the case when the local grid's power capacity is not enough to support the total power demand of many fast-charging stations, power mismatch is addressed. Whereas the complexities of battery longevity and how fast they are all studied. As a means to equitably distribute load among the stations, we study the problem of peer-to-peer (P2P) charging localization. Using dynamic power allocation, we apply the Dragonfly algorithm to improve P2P localization and cope with power mismatch. At the same time, a new Deep Q Network (DQN) model modifies charging strategies upon real-time conditions of the grid. DA is empirically studied on different sizes and commonly used shapes of charging stations with different power mismatch levels, and it is demonstrated that the DA can considerably eliminate the power mismatches, optimize the charging station allocation, and enhance the grid resiliency. Additionally, the DQN model adapts to the fluid grid dynamics and improves charging efficiency. As a result of these innovations, a charging optimization framework beyond conventional charging optimization and a charging optimization scheme that is consistent with the grid infrastructure are provided. Through this new paradigm, we supply our contribution to sustainable energy transportation based on efficient EV charging, lowered grid stress, and maximal power utilization.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Robust adaptive control of valve mechanism with unknown backlash nonlinearity

Robust adaptive control of valve mechanism with unknown back...

引用

2007 IEEE 22nd International Symposium on intelligent control, ISIC 2007

作者： Zhou, Jing Er, Meng Joo Department of Engineering Cybernetics Faculty of Information Technology Mathematics and Electrical Engineering Norwegian University of Science and Technology 7491 Trondheim Norway Intelligent Systems Centre Nanyang Technological University Research TechnoPlaza Singapore 637553 Singapore

ISBN: (纸本)142440441X

In this paper, two robust adaptive backstepping control algorithms are developed for valve control mechanism of a liquid tank. Unlike some existing control schemes for systems with backlash, the developed backstepping controllers do not require the uncertain parameters within known intervals. Also no knowledge is assumed on the bound of the 'disturbance-like' term, a combination of the external disturbances and a term separated from the hysteresis model. It is shown that the proposed controllers not only can guarantee global stability, but also transient performance. © 2007 IEEE.

关键词： Uncertain systems

来源：评论

学校读者我要写书评

暂无评论

Improved SocialVAE: A Socially-Aware ship Trajectory Prediction Method for Port Operations 2

Improved SocialVAE: A Socially-Aware Ship Trajectory Predict...

引用

2nd International Conference on Machine Learning, Cloud Computing, and intelligent Mining, MLCCIM 2023

作者： Gao, Wei Liu, Jin Zhi, Jiamao Wang, Junxiang College of Information Engineering Shanghai Maritime University Shanghai China China Shipping Telecommunication Co. Ltd. Shanghai Ship and Shipping Research Institute Shanghai China COSCO SHIPPING TECHNOLOGY Co. Ltd National Engineering Research Center of Ship Transportation Control Systems Shanghai China

ISBN: (纸本)9798350328530

In comparison to other regions, the traffic dynamics observed in port waters are more unclear. Given the complexity of maneuvering in multi-vessel encounter scenarios, accurate prediction of vessel trajectories in port waters is crucial for preventing accidents and improving port operations. To address the highly dynamic navigational environment and the uncertainty of navigational patterns such as heading and path selection, we propose an improved SocialV Ae(Variational Autoencoder) method. The approach use local ship observations to comprehend traffic patterns between ships in order to make ship navigation decisions. Furthermore, we present a socially aware regression module that evaluates the compatibility between past trajectory interaction codes and forecast trajectories, and then uses the resulting offsets to adjust the predicted trajectories. Additionally, for the problem of non-random missing data in port waters AIS (Automatic Identification System) data, we use a shift-corrected data interpolation method to fill in the missing values. We utilize two real AIS datasets of waterways surrounding ports to test the efficacy of our method: Copenhagen Port and Shanghai Yangshan Port. When compared to existing methods, our Improved SocialV Aedelivers excellent prediction performance on these two datasets. © 2023 IEEE.

关键词： Trajectories

来源：评论

学校读者我要写书评

暂无评论

Preassigned-Time Synchronization of Memristive Chaotic Circuit via Intermittent control

Preassigned-Time Synchronization of Memristive Chaotic Circu...

引用

2023 International Conference on Neuromorphic Computing, ICNC 2023

作者： Wang, Qiming Wang, Leimin Wu, Genping China University of Geosciences School of Automation Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China Wuhan Second Ship Design and Research Institute Wuhan430064 China

ISBN: (纸本)9798350316889

In this paper, the preassigned-time synchronization (PTS) problem for a fifth-order memristive chaotic circuit (MCC) is investigated by designing a time-dependent intermittent controller. First, the dynamic characteristics of the MCC, especially the existence and occurrence of chaos, are investigated by simulation experiments. Besides, the stability of the equilibrium points is discussed by using Routh-Hurwitz criterion. Then, a time-dependent intermittent controller is designed and the PTS of MCC is realized via the presented controller. Finally, the effectiveness of theoretical results is verified by means of numerical simulations. © 2023 IEEE.

关键词： controllers

来源：评论

学校读者我要写书评

暂无评论

Economic research on User-Side Photovoltaic Energy Storage System Considering Shared Energy Storage 5

Economic Research on User-Side Photovoltaic Energy Storage S...

引用

5th International Conference on Power and Energy technology, ICPET 2023

作者： Chen, Kaiwen Wang, Qingyi Kang, Kai Wang, Hao School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China PowerChina Hubei Electric Engineering Co. Ltd Wuhan China Wuhan Second Ship Design and Research Institute Wuhan China

ISBN: (纸本)9798350339673

Based on the background of photovoltaic development in the whole county and the demand for energy storage on the user-side, this paper establishes an economic evaluation model of user-side photovoltaic energy storage system considering shared energy storage. Firstly, three schemes of no energy storage, independent energy storage and shared energy storage are proposed, and the influence of photovoltaic energy storage system loss on annual power generation is considered. Secondly, based on the whole life cycle theory, the cost and benefit model of the user-side photovoltaic energy storage system is established, and the unit electricity cost of the user is used as the evaluation index. Finally, the relevant data of user in Hubei area are analyzed as an example to verify the effectiveness of the model and provide reference for the investment of related projects. © 2023 IEEE.

关键词： photovoltaic energy storage system shared energy storage the unit electricity cost of the user user-side

来源：评论

学校读者我要写书评

暂无评论

Double deep Q-learning for anti-saturation attack problem of warship group 1

Double deep Q-learning for anti-saturation attack problem of...

引用

1st IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2021

作者： Li, Wei Xiong, Gang Tao, Hao Han, Yunjun Wang, Fang Dong, Xisong Shen, Zhen Institute of Automation Chinese Academy of Sciences State Key Laboratory for Management and Control of Complex Systems China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation China Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Chinese Academy of Sciences China China Ship Development and Design Center Wuhan430064 China Shandong University Jinan China

ISBN: (纸本)9781665433372

Anti-saturation attack (ASA) strategy is vital for the survival of a warship group, and attracts the focus of many researchers. In this paper, the dynamics of ASA is formulated as a Markov Decision Process (MDP) with an enhanced states space since those characters are involved, such as the formation and detection and interception areas of warship group. A reinforcement learning method (Double Deep Q-leaning, DDQN) is developed to solve the problem and deal with the curse of dimensionality whereby the cost-to-go value is calculated by a marine engagement simulation system. A heuristic defense algorithm guided by field expert knowledge is designed for comparison. The experimental results show that the DDQN method performs better in anti-saturation attack scenarios. © 2021 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Evaluation of Cold Syndrome Types based on Cosine Similarity and its application in intelligent diagnosis of TCM

Evaluation of Cold Syndrome Types based on Cosine Similarity...

引用

2021 IEEE International Conference on Artificial Intelligence and Industrial Design, AIID 2021

作者： Ren, Shuheng Jing, Yi Yan, Dongsong Li, Haiqi Huang, Chu Wang, Yuan Jinan University School of International Energy Guangdong Province Zhuhai City China Jinan University School of Intelligent Systems Science and Engineering JNU-industry School of Artificial Intelligence Guangdong Province Zhuhai City China Guangdong Electrical and Intelligent Control Engineering Technology Research Centre Guangdong Province Zhuhai City China

ISBN: (纸本)9780738110837

In this paper, an automatic evaluation method of Cold Syndrome Types is proposed based on the method of Cosine Similarity. The method consists of the creation of a standard cold case database, the separation of input cold cases, synonym replacement and quadruple structured processing, quadruple weight assignment and similarity calculation. On the basis of Cold Syndrome Types evaluation, we further propose a learning and elimination mechanism for the standard cold case database, which improves the computing efficiency of the algorithm to a certain extent. It is showed in the experiments that the method can be used to initially assess the Cold Syndrome Types through the four aspects of Observing, Smelling, Consulting and Pulse-talking, which is of high value and significance as an auxiliary support for intelligent TCM diagnosis. © 2021 IEEE.

关键词： Databases Quaternions Conferences Libraries Reliability Artificial intelligence Standards

来源：评论

学校读者我要写书评

暂无评论

Spatial-temporal distribution characteristics and traceability analysis of NOx emission from vehicles based on real-time automatic vehicle identification data in Guangzhou, China

Spatial-temporal distribution characteristics and traceabili...

引用

2023 International Conference on Smart Transportation and City engineering, STCE 2023

作者： Yang, Xinru Pian, Yuzhuang Xu, Rui Liu, Yonghong School of Intelligent Systems Engineering Sun Yat-Sen University Guangdong Guangzhou510275 China Guangdong Provincial Key Laboratory of Intelligent Transportation System Guangdong Guangzhou510275 China Guangdong Provincial Engineering Research Centre for Traffic Environmental Monitoring and Control Guangdong Guangzhou510275 China

ISBN: (纸本)9781510673540

With the rapid growing of vehicle population, NOx has gradually become a key factor restricting the prevention and control of O3 pollution in China. High-resolution vehicle emission inventories are essential for the development of scientific and efficient pollution prevention and control policies. In this study, a bottom-up approach is adopted to develop a high temporal and spatial resolution vehicle NOx emission inventory for Guangzhou in 2021 based on real-time road network hourly-scale traffic data detected by 5,198 AVI devices. The study further examines the prominent emission vehicle types, emission periods, and emission hotspots in different regions (11 administrative districts, central urban areas, and non-central urban areas) to facilitate a detailed analysis and traceability of high-pollution events. The results of the study showed that the average daily NOx emission from vehicles was 196.15 t/day and the average daily emission intensity was 15.82 kg/(dayžkm). Diesel trucks, medium & heavy diesel trucks, and diesel trucks with China III or lower emission standards are the prominent vehicles with low occupancy and high emissions. In terms of spatial distribution, HDTs are the main contributors in the non-central urban areas, while heavy passenger vehicles and light duty trucks are the main contributors in the central urban areas, and buses also contribute a slightly higher percentage compared to the non-central urban areas. To meet the demand of freight transportation, the distribution of NOx emission hotspots shows a pattern of dispersion outward along the beltway network centred on Baiyun District. A more detailed traceability analysis of the high NOx emission contribution is used to assist in the development of pollution prevention policies. © 2024 SPIE.

关键词： Trucks

来源：评论

学校读者我要写书评

暂无评论

Non-stationarity Removal Techniques in MEG Data: A Review 4th

Non-stationarity Removal Techniques in MEG Data: A Review

引用

4th International Conference on Innovative Data Communication Technologies and Application, ICIDCA 2022

作者： Philip, Beril Susan Prasad, Girijesh Hemanth, D. Jude Department of Electronics and Communication Engineering Karunya Institute of Technology and Sciences Coimbatore641114 India Intelligent Systems Research Centre Ulster University Magee Campus Derry Londonderry United Kingdom

Brain Computer Interface (BCI) enables communication solely through mental activity. For patients who have lost complete voluntary muscle control, it serves as a potential communication and rehabilitation channel. In a number of recent investigations, BCl based on electroencephalography (EEG) has demonstrated increased reaction in nonresponsive people to interact with others. Despite the method's effectiveness, patient interaction takes way too long. However, magnetoencephalography (MEG) may shorten the training period, improving BCI reliability in the process. One of the major technological difficulties confronting MEG data collection and interpretation is that the strength of neuromagnetic fields recorded externally is considerably lower than interfering signals. There hasn't been much substantial progress on an effective MEG-BCI system because there is no large enough MEG dataset. Despite their huge potential, MEG-based BCI systems still need a lot of work in terms of signal processing algorithms that are both reliable and efficient. Unexpected head movements and changing orientation between sessions may be the cause of non-stationarity in the MEG data that was captured, changing the most effective channel selection between sessions and participants. Not only the head movement, but also non-stationarity in data can be caused by a variety of factors like user weariness, mood changes, or external noise interfering with the MEG system. This paper discusses the many types of data acquisition artifacts and review the techniques to minimize the artifacts to increase the signal-to-noise ratio. © 2023 The Authors. Published by Elsevier B.V.

关键词： Data acquisition

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：