检索结果-内蒙古大学图书馆

International Conference on Intelligent Transportation

作者： Yu Liu Yuexin Zhang Kunming Li Yongliang Qiao Stewart Worrall You-Fu Li He Kong Shenzhen Key Laboratory of Control Theory and Intelligent Systems Southern University of Science and Technology (SUSTech) Shenzhen China Department of Mechanical Engineering City University of Hong Kong Hong Kong SAR China School of Automation Guangdong Polytechnic Normal University Guangzhou China Australian Centre for Field Robotics The University of Sydney NSW Australia Australian Institute for Machine Learning The University of Adelaide SA Australia Department of Mechanical Engineering City University of Hong Kong Hong Kong SAR China Shenzhen Key Laboratory of Control Theory and Intelligent Systems SUSTech Shenzhen China Guangdong Provincial Key Laboratory of Human-Augmentation Rehabilitation Robotics in Universities SUSTech Shenzhen China

Predicting pedestrian motion trajectories is crucial for path planning and motion control of autonomous vehicles. Accurately forecasting crowd trajectories is challenging due to the uncertain nature of human motions in different environments. For training, recent deep learning-based prediction approaches mainly utilize information like trajectory history and interactions between pedestrians, among others. This can limit the prediction performance across various scenarios since the discrepancies between training datasets have not been properly incorporated. To overcome this limitation, this paper proposes a graph transformer structure to improve prediction performance, capturing the differences between the various sites and scenarios contained in the datasets. In particular, a self-attention mechanism and a domain adaption module have been designed to improve the generalization ability of the model. Moreover, an additional metric considering cross-dataset sequences is introduced for training and performance evaluation purposes. The proposed framework is validated and compared against existing methods using popular public datasets, i.e., ETH and UCY. Experimental results demonstrate the improved performance of our proposed scheme.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Primary Ways of Interpreting Human Gait Parameters Using the Accelerometry Method 2

Primary Ways of Interpreting Human Gait Parameters Using the...

引用

2nd International Conference on Electrical, Communication and Computer engineering, ICECCE 2020

作者： Mishchenko, Evgeniy Sirenko, Pavel Kanatbekuli, Islam Kondrashov, Danila Tomsk State University of Control Systems and Radioelectronics Department of Telecommunications and Basic Principles of Radio Engineering Tomsk Russia School of Non-Destructive Testing Tomsk Polytechnic University Division for Electronic Engineering Tomsk Russia

ISBN: (纸本)9781728171166

This publication describes the results of a study of methods for interpreting human gait using hardware-software complex. In this paper, we consider one of the modern methods for registering human gait parameters, namely accelerometry, followed by determining the general parameters of a human gait for subsequent interpretation. This method is used for preclinical and clinical diagnosis of locomotor disorders, as well as for rehabilitation of such disorders. This paper presents three methods for interpreting such parameters: the spectral method, the direct method, and the correlation method. Each of these interpretation methods is intended for specific tasks, and these methods are not interchangeable, for example, because each uses different mathematical techniques. For primary interpretations, physical parameters such as Euler angles, linear and angular accelerations are used, which are recorded using digital accelerometer gyroscopes (hereinafter referred to as sensors). Thus, this work describes ways to interpret the parameters of human gait using a hardware-software complex, which was originally created only for the accelerometry method, and over time, the function of displaying general parameters was implemented for it without additional hardware solutions. © 2020 IEEE.

关键词： Correlation methods

来源：评论

学校读者我要写书评

暂无评论

Hydrogen Ion Implantation Induced Cutting Behavior Variation in Plunge Cutting of the Monocrystalline Silicon

引用

Nanomanufacturing and Metrology 2021年第4期4卷 209-215页

作者： Zejia Zhao E.V.Jelenkovic Gaobo Xiao Zhuoxuan Zhuang Suet To Institute of Semiconductor Manufacturing Research College of Mechatronics and Control EngineeringShenzhen UniversityNan-hai Ave 3688Shenzhen 518060GuangdongPeople’s Republic of China State Key Laboratory of Ultra-precision Machining Technology Department of Industrial and Systems EngineeringThe Hong Kong Polytechnic UniversityHung HornKowloonHong Kong SARPeople’s Republic of China Zhuhai Bojay Electronics Co. Ltd10 Futian RdXiangzhou DistrictZhuhai.GuangdongPeople’s Republic of China

In this study,surface modification of monocrystalline silicon with two doses of hydrogen ion implantation and the plunge cutting process were conducted to explore the influence of hydrogen ions on the cutting behavior of *** results show that ion implantation is capable of deteriorating or improving the machinability of silicon,depending on the implantation *** cleavages and a reduction of critical depth of cut(CDoC)were observed for the silicon with a low implantation dose in the cutting direction of<100>in comparison to bare silicon,while no cleavage and an increase of CDoC were achieved after implantation with a high dose in the same cutting ***,the ductile cutting and thrust forces of the silicon with the low dose are larger than the bare silicon,but the forces are significantly reduced for the silicon after the high dose of *** variation of the cutting forces is due to the different required stresses to overcome ductile and fracture deformation of silicon.

关键词： Hydrogen ion implantation Plunge cutting Silicon Critical depth of cut Cutting forces

来源：评论

学校读者我要写书评

暂无评论

Efficient Depth Selection for the Implementation of Noisy Quantum Approximate Optimization Algorithm

arXiv

引用

arXiv 2022年

作者： Pan, Yu Tong, Yifan Xue, Shibei Zhang, Guofeng State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou310027 China Institute of Cyber-Systems and Control College of Control Science and Engineering Zhejiang University Hangzhou310027 China Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Department of Applied Mathematics The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong

Noise on near-term quantum devices will inevitably limit the performance of Quantum Approximate Optimization Algorithm (QAOA). One significant consequence is that the performance of QAOA may fail to monotonically improve with depth. In particular, optimal depth can be found at a certain point where the noise effects just outweigh the benefits brought by increasing the depth. In this work, we propose to use the model selection algorithm to identify the optimal depth with a few iterations of regularization parameters. Numerical experiments show that the algorithm can efficiently locate the optimal depth under relaxation and dephasing noises. © 2022, CC BY.

关键词： Optimization

来源：评论

学校读者我要写书评

暂无评论

Development of a High-Performance Cutting Device Based on Hybrid Actuation for Ultra-Precision Machining

SSRN

引用

SSRN 2022年

作者： Zhuang, Zhuoxuan Du, Hanheng Yip, Wai Sze Yin, Tengfei Zhao, Zejia Zhu, Zhiwei To, Suet State Key Laboratory of Ultra-Precision Machining Technology Department of Industrial and Systems Engineering The Hong Kong Polytechnic University Kowloon Hong Kong School of Mechanical Engineering Nanjing University of Science and Technology Nanjing210094 China Institute of Semiconductor Manufacturing Research College of Mechatronics and Control Engineering Shenzhen University Guangdong Shenzhen518060 China

In ultra-precision cutting, the inherent working frequency and positioning accuracy of actuators are decisive. It is challenging to generate multi-scale cutting motions with high accuracy on a hierarchical scale simultaneously. In this study, a novel micro and nano cutting device with multiple axes with micro-scale positioning accuracy in millimetres and nanoscale positioning accuracy in micron meters is developed for overcoming the challenge. The structure of the cutting device is designed with a small form factor in dimension in comparison to other auxiliary cutting devices for ultra-precision machine tools. The magnetic field simulation is also used to optimize the output force of the voice coil motor with the simulation results validated by experiments using a force sensor. The operation mechanism of the flexure-hinge is investigated by finite element analysis. The device can perform ±0.5 mm stroke at 10 Hz and ±8 µm at 3300 Hz for generation of microstructures with experimental validation. The significance and originality of this study lie in the successful development of a novel hybrid actuation cutting system that can generate multi-scale cutting motions with high accuracy and flexibility on a hierarchical scale for the generation of microstructured surfaces in ultraprecision machining. © 2022, The Authors. All rights reserved.

关键词： Microstructure

来源：评论

学校读者我要写书评

暂无评论

Principles of Safety Signalling and Traffic control systems Synthesis on Railways

Principles of Safety Signalling and Traffic Control Systems ...

引用

International Conference on Industrial engineering, Applications and Manufacturing (ICIEAM)

作者： Dmitrii V. Efanov Valerii V. Khóroshev German V. Osadchy Higher School of Transport Institute of Mechanical Engineering Materials and Transport Peter the Great St. Petersburg Polytechnic University St. Petersburg Russian Federation Department of "Automation Remote Control and Communication on Railway Transport" The Russian University of Transport Moscow Russia Department of "Automation Remote Control and Communication on Railway Transport" Russian University of Transport (MIIT) Moscow Russia Deputy General Director – Chief Engineer of Scientific and Technical Center "Integrated Monitoring Systems" LLC St. Petersburg Russia

The paper authors analyze the safety control systems synthesis problem for critical technological processes on the railway signalling and automation systems. It is shown that modern control systems for complex distributed systems, such as a railway transport system, are not implemented with absolute safety. Such systems safety is limited by considering only their own failures, control systems and their components external failures, as well as infrastructure objects failures that directly interact with control devices. Other infrastructure facilities are not considered in any way during automatic control and data transfer to on-board automation. We presents the theoretical principles for the safety train traffic control system synthesis, considering the capabilities of equipping infrastructure facilities with highly reliable and safe means of technical diagnostics and monitoring. A simplified structure of the central train traffic control complex is given, considering the diagnosing and monitoring results of all transportation process components. The conditions for the completely safety train traffic control systems synthesis are formulated. The tasks going with the safe control system synthesis problem are noted. The railway infrastructure facilities and rolling stock parameters comprehensive accounting will allow reaching a qualitatively higher level of train traffic safety.

关键词：

来源：评论

学校读者我要写书评

暂无评论

State Estimation for Integrated Energy systems: Motivations, Advances, and Future Work

引用

IEEE Transactions on Power systems 2024年

作者： Zhao, Junbo Srivastava, Ankur Guo, Ye Cetenovic, Dragan Lin, Yuzhang Levi, Victor Yin, Guanxiong Huang, Manyun Zhang, Tingting Li, Zhigang Chen, Yanbo Exposito, Antonio G. Zhang, Wen Zheng, Weiye Chakrabarti, Saikat Li, Yang Sharma, Ankush Kamwa, Innocent Guo, Qinglai Terzija, Vladimir Mili, Lamine University of Connecticut Department of Electrical and Computer Engineering StorrsCT06269 United States Tsinghua University Tsinghua-Berkeley Shenzhen Institute Shenzhen518055 China The University of Manchester Department of Eee ManchesterM13 9PL United Kingdom University of Kragujevac Faculty of Technical Sciences Čačak Čačak32000 Serbia New York University Department of Electrical and Computer Engineering NY11201 United States Tsinghua University Department of Electrical Engineering Beijing100084 China Hohai University College of Energy and Electrical Engineering Nanjing210098 China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan250061 China The Chinese University of Hong Kong-Shenzhen School of Science and Engineering Shenzhen518172 China North China Electric Power University School of Electrical and Electronic Engineering Beijing102206 China University of Sevilla Spain Sevilla41092 Spain South China University of Technology School of Electrical Power Engineering Guangzhou510641 China Indian Institute of Technology Kanpur Department of Electrical Engineering Kanpur208016 India Northeast Electric Power University School of Electrical Engineering Jilin132012 China Laval University Department of Electrical and Computer Engineering QuebecQCG1V 0A6 Canada Tsinghua University State Key Laboratory of Power Systems Department of Electrical Engineering Beijing100084 China Newcastle University School of Engineering Newcastle upon TyneNE1 7RU United Kingdom Virginia Polytechnic Institute and State University Bradley Department of Electrical and Computer Engineering Falls ChurchVA22043 United States

This paper summarizes the technical activities of a three-year-long IEEE Task Force (TF) on State Estimation (SE) for Integrated Energy systems (IES). It presents the formal definition and characteristics of IES, along with the comprehensive discussion on Electric Power systems (EPS) model, and static and dynamic models associated with heating and natural gas systems. The paper also identifies the barriers of SE for IES, such as estimation modeling, observability analysis, and measurement requirements, together with addressing multi-scale dynamics. An extensive comparative analysis between Integrated Energy systems-State Estimation (IES-SE) and more established Electric Power System-State Estimation (EPS-SE) is presented. The paper also provides future research needs and directions related to IES-SE. © 1969-2012 IEEE.

关键词： Power system analysis

来源：评论

学校读者我要写书评

暂无评论

Microwave heating as a universal method to transform confined molecules into armchair graphene nanoribbons

arXiv

引用

arXiv 2023年

作者： Zhang, Haoyuan Chen, Yingzhi Tang, Kunpeng Lin, Ziheng Li, Xuan Zhang, Hongwei Zhang, Yifan Saito, Takeshi Wong, Chi Ho Leung, Chi Wah Mak, Chee Leung Hu, Yuan Cui, Weili Cao, Kecheng Shi, Lei State Key Laboratory of Optoelectronic Materials and Technologies Nanotechnology Research Center Guangzhou Key Laboratory of Flexible Electronic Materials and Wearable Devices School of Materials Science and Engineering Sun Yat-sen University Guangzhou510275 China Huzhou Key Laboratory of Environmental Functional Materials and Pollution Control School of Engineering Huzhou University Huzhou313000 China Ibaraki Tsukuba305-8565 Japan Department of Industrial and Systems Engineering Research Institute for Advanced Manufacturing The Hong Kong Polytechnic University Hong Kong Department of Applied Physics The Hong Kong Polytechnic University Hong Kong Shanghai Key Laboratory of High-resolution Electron Microscopy ShanghaiTech University Shanghai201210 China

Armchair graphene nanoribbons (AGNRs) with sub-nanometer width are potential materials for fabrication of novel nanodevices thanks to their moderate direct band gaps. AGNRs are usually synthesized by polymerizing precursor molecules on substrate surface. However, it is time-consuming and not suitable for large-scale production. AGNRs can also be grown by transforming precursor molecules inside single-walled carbon nanotubes via furnace annealing, but the obtained AGNRs are normally twisted. In this work, microwave heating is applied for transforming precursor molecules into AGNRs. The fast heating process allows synthesizing the AGNRs in seconds. Several different molecules were successfully transformed into AGNRs, suggesting that it is a universal method. More importantly, as demonstrated by Raman spectroscopy, aberration-corrected high-resolution transmission electron microscopy and theoretical calculations, less twisted AGNRs are synthesized by the microwave heating than the furnace annealing. Our results reveal a route for rapid production of AGNRs in large scale, which would benefit future applications in novel AGNRs-based semiconductor devices. © 2023, CC BY.

关键词： Raman spectroscopy

来源：评论

学校读者我要写书评

暂无评论

Multi-Objective Squirrel Search Algorithm for EEG Feature Selection

SSRN

引用

SSRN 2022年

作者： Wang, Chao Li, Songjie Shi, Miao Zhao, Jie Acharya, U. Rajendra Xie, Neng-Gang Cheong, Kang Hao College of Civil Engineering and Architecture Anhui Polytechnic University Anhui Wuhu241000 China Anhui Province Key Laboratory of Multidisciplinary Management and Control of Complex Systems Anhui Ma’anshan 243002 China Department of Management science and Engineering Anhui University of Technology Anhui Maanshan243002 China 8 Somapah Road Singapore487372 Singapore Department of Mechanical Engineering Anhui University of Technology Maanshan243002 China Department of Electronics and Computer Engineering Ngee Ann Polytechnic S599489 Singapore Department of Biomedical Engineering School of Science and Technology SUSS University Singapore Department of Biomedical Informatics and Medical Engineering Asia University Taichung Taiwan

Feature selection plays a critical role in the application of Brain Computer Interface (BCI) systems. Many methods have been used to solve the feature selection problem, but they model it as a single-objective problem, considering only classification accuracy or number of features. To close this critical gap, we improve the squirrel search algorithm by combining it with the grid method, and propose a Multi-Objective Squirrel Search Algorithm (MOSSA) to solve the feature selection problem in BCI. We conduct experiments on three publicly available motion imagery datasets, and the experimental results reveal the best classification results of the method on dataset 1. The average classification accuracy of dataset 2 is 96.71%, with the number of selected features reduced to 18 on average. The highest classification accuracy of dataset 3 is 83.57% on the training set and 82.86% on the test set. In addition, we compare MOSSA with other algorithms and the results show the superiority of our proposed method in solving the feature selection problem. Finally, we combine MOSSA with an online application of BCI, where subjects visualise controlling the robot to perform the corresponding actions by the left and right hand movements. The average recognition rate of the three subjects is approximately 70%. In summary, the MOSSA is an effective method for solving the feature selection problem and is useful for the development of online © 2022, The Authors. All rights reserved.

关键词： Brain computer interface

来源：评论

学校读者我要写书评

暂无评论

Parameter estimation and control of an unmanned aircraft-based transportation system for variable-mass payloads

Parameter estimation and control of an unmanned aircraft-bas...

引用

作者： Alatorre, Armando Espinoza, Eduardo S. Sánchez, Bonifacio Ordaz, Patricio Muñoz, Filiberto García Carrillo, Luis Rodolfo French-Mexican Laboratory of Informatics and Automatics Center of Research and Advanced Studies of the National Polytechnic Institute México City Mexico Automatic Control Department Center of Research and Advanced Studies of the National Polytechnic Institute México City Mexico Research Center of Information Technologies and Systems Autonomous University of the State of Hidalgo Hidalgo Mexico Klipsch School of Electrical and Computer Engineering New Mexico State University Las CrucesNM United States

This paper deals with the development of an adaptive robust controller for an Unmanned Aircraft System with variable mass. The goal is to improve trajectory tracking and energy performance while the aircraft mass is gradually reducing due to payload release. To improve the trajectory tracking performance, we propose an algorithm that merges the concepts of least squares method and sliding mode observer for the estimation of the vehicle mass. The nonlinear observer estimates the linear velocities and accelerations, which are further used to obtain the vehicle mass. A robust adaptive pole placement controller based on the Attractive Ellipsoid Method uses this estimation to update the controllers gains due to the mass variation. To validate the effectiveness of the proposed algorithm for performing aerial transportation and deployment of payloads, we present a numerical example comparing the performance of the proposed method with respect to using Proportional Derivative controllers as well as Robust controllers. © 2021 Chinese Automatic control Society and John Wiley & Sons Australia, Ltd

关键词： controllers

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：