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IEEE International Conference on Communications (ICC)

作者： Jing Li Hao Wu Yong Niu Bo Ai Ning Wang Tony Q. S. Quek The State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong University China School of Information Engineering Zhengzhou University China The Information Systems Technology and Design Singapore University of Technology and Design Singapore

ISBN: (数字)9781728190549

ISBN: (纸本)9781728190556

Emerging as an important enabling technology for smart factories, ultra-reliable low latency communications (URLLC) have attracted extensive attention from academia and industry. In this paper, we aim to improve the performance of downlink URLLC in a smart factory. We first construct the system model based on the 5G New Radio (NR) standard, which specifies the modulation scheme, resource block structure and achievable data rates under finite blocklength codes (FBC). Next, since it is challenging to fulfill all transmission requests with limited radio and power resources, we formulate the problem to maximize the network throughput while considering delay and reliability constraints. This is a mixed integer non-convex nonlinear problem that is difficult to solve directly. To be tractable, we decompose it into two sub-problems, and apply the alternating optimization to obtain a sub-optimal solution. Specifically, the flow scheduling sub-problem is transformed into a matching game (MG) and solved by a delayed acceptance-based algorithm. Also a local water-filling algorithm is utilized to solve the power allocation sub-problem. Simulation results reveal that our proposed scheme outperforms other benchmark schemes.

关键词： Job shop scheduling Simulation Ultra reliable low latency communication Downlink Throughput Delays Resource management

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DYNAMIC STIFFNESS ANALYSIS OF ELECTRO-HYDRAULIC SERVO-CONTROLLED HYDRAULIC MOTOR

DYNAMIC STIFFNESS ANALYSIS OF ELECTRO-HYDRAULIC SERVO-CONTRO...

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2024 CSAA/IET International Conference on Aircraft Utility systems, AUS 2024

作者： Chen, Taiqi Wu, Shuai Wei, Renlei Li, Chuandong Qin, Mingyuan Chu, Bing Yang, Yuliang Luo, Jianing School of Automation Science and Electrical Engineering Beihang University Beijing100191 China National Key Laboratory of Aircraft Integrated Flight Control Beihang University Beijing100191 China Key Laboratory of Advanced Aircraft Systems Beihang University Ministry of Industry and Information Technology Beijing100191 China AVIC Shenyang Aircraft Design and Research Institute Shenyang110087 China

Electro-hydraulic servo control systems find widespread applications in aerospace, engineering machinery, and robotics, where they are integral to maintaining the performance and safety standards of aircraft. This study focuses on examining the dynamic stiffness properties of hydraulic motors in these systems and analyzes how different parameters affect dynamic stiffness. Dynamic stiffness describes an actuator's rigidity and response characteristics in motion control scenarios, reflecting the stability and performance of aircraft actuators under complex dynamic operational conditions more accurately than static stiffness. The study employs modular modeling to establish a mathematical model for dynamic stiffness, revealing that the servo valve inherent frequency, damping coefficient, pipeline volume, and hydraulic oil bulk modulus exhibit low sensitivity. Proportional gain, servo valve gain, and servo valve flow coefficient show consistent sensitivity curves, indicating a strong correlation. Conversely, the leakage coefficient and hydraulic motor displacement sensitivity negatively correlate with frequency, while hydraulic motor inertia, damping coefficient, and gearbox reduction ratio positively correlate with frequency. These insights enhance the understanding of parameter impacts, aiding in the design and optimization of high-power-to-weight ratio hydraulic systems for aerospace applications. © The Institution of engineering & Technology 2024.

关键词： Sensitivity analysis

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Interaction-Aware Cut-In Trajectory Prediction and Risk Assessment in Mixed Traffic

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IEEE/CAA Journal of Automatica Sinica 2022年第10期9卷 1752-1762页

作者： Xianglei Zhu Wen Hu Zejian Deng Jinwei Zhang Fengqing Hu Rui Zhou Keqiu Li Fei-Yue Wang the College of Intelligence and Computing Tianjin UniversityTianjin 300350 the China Automotive Technology and Research Center Co.Ltd. Tianjin 300300China the State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body College of Mechanical and Vehicle EngineeringHunan UniversityChangsha 410082China the Department of Mechanical and Mechatronics Engineering University of WaterlooWaterlooON N2L3G1Canada the School of Mechanical Engineering Beijing Institute of TechnologyBeijing 100081China the Macao University of Science and Technology MacaoChina the Waytous Inc. Qingdao 266000China IEEE the State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China

Accurately predicting the trajectories of surrounding vehicles and assessing the collision risks are essential to avoid side and rear-end collisions caused by *** improve the safety of autonomous vehicles in the mixed traffic,this study proposes a cut-in prediction and risk assessment method with considering the interactions of multiple traffic *** integration of the support vector machine and Gaussian mixture model(SVM-GMM)is developed to simultaneously predict cut-in behavior and *** dimension of the input features is reduced through Chebyshev fitting to improve the training efficiency as well as the online inference *** on the predicted trajectory of the cut-in vehicle and the responsive actions of the autonomous vehicles,two risk measurements are introduced to formulate the comprehensive interaction risk through the combination of Sigmoid function and Softmax ***,the comparative analysis is performed to validate the proposed method using the naturalistic driving *** results show that the proposed method can predict the trajectory with higher precision and effectively evaluate the risk level of a cut-in maneuver compared to the methods without considering interaction.

关键词： Cut-in behavior interaction-aware mixed traffic risk assessment trajectory prediction

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A NEW design OF AERO-HYDRAULIC PIPING CLAMP FOR LOWER VIBRATION

A NEW DESIGN OF AERO-HYDRAULIC PIPING CLAMP FOR LOWER VIBRAT...

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2024 CSAA/IET International Conference on Aircraft Utility systems, AUS 2024

作者： Lv, Haoliang Xu, Yuanzhi Jiao, Zongxia Luo, Min Li, Changchun Zhao, Weizhi Wang, Zechao Wan, Xiaofei School of Aeronautic Science and Engineering Beihang University Beijing100191 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Key Laboratory of Advanced Airborne Systems Beihang University Beijing100191 China Ningbo Institute of Technology Beihang University Ningbo315800 China Tianmushan Laboratory Hangzhou310023 China Shanghai Aircraft Design and Research Institute Shanghai200135 China

As aircraft hydraulic system demands higher pressure, higher speed, and higher reliability, the vibration control of pipeline systems becomes more crucial. Aiming to reduce hydraulic pipeline vibration and dampen fluid pulsation, the stiffness of pipeline clamps is important to improve the vibration characteristics of hydraulic pipeline systems. This paper proposed a newly designed clamp of high stiffness, to attenuate pipeline vibrations. Modal analysis with the finite element simulation is employed to compare the results between the proposed clamp and the traditional p-type clamp, validating the effectiveness and advantage of the new clamp. © The Institution of engineering & Technology 2024.

关键词： Aircraft hydraulic systems

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Physical Layer Security for UAV Communications:A Comprehensive Survey

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China Communications 2022年第9期19卷 77-115页

作者： Jue Wang Xuanxuan Wang Ruifeng Gao Chengleyang Lei Wei Feng Ning Ge Shi Jin Tony Q.S.Quek School of Information Science and Technology Nantong UniversityNantong 226109China Department of Electronic Engineering Tsinghua UniversityBeijing 100084China China Academy of Electronics and Information Technology Beijing 100041China School of Transportation and Civil Engineering Nantong UniversityNantong 226109China National Mobile Communications Research Laboratory Southeast UniversityNanjing 210096China Information Systems Technology and Design Pillar Singapore University of Technology and DesignSingapore 487372Singapore Nantong Research Institute for Advanced Communication Technologies Nantong 226109China

Due to its high mobility and flexible deployment,unmanned aerial vehicle(UAV)is drawing unprecedented interest in both military and civil applications to enable agile and ubiquitous *** operating in an open environment,UAV communications benefit from dominant line-of-sight links;however,this on the other hand renders the communications more vulnerable to malicious ***,physical layer security(PLS)has been introduced to UAV systems as an important complement to the conventional cryptography-based *** this paper,a comprehensive survey on the current achievements of UAV-PLS is *** first introduce the basic concepts including typical static/-mobile UAV deployment scenarios,the unique air-toground channel and aerial nodes distribution models,as well as various roles that a UAV may act when PLS is ***,we start by reviewing the secrecy performance analysis and enhancing techniques for statically deployed UAV systems,and extend the discussion to the more general scenario where the UAVs’mobility is further *** both cases,respectively,we summarize the commonly adopted methodologies,then describe important works in the litera ture in ***,potential research directions and challenges are discussed to provide an outlook for future works in the area of UAV-PLS.

关键词： physical layer security UAV communications static/mobile UAV deployment air-to-ground channel trajectory optimization

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Dynamic stiffness simulation analysis of hydraulic dual-parallel actuation systems using Amesim

Dynamic stiffness simulation analysis of hydraulic dual-para...

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2024 CSAA/IET International Conference on Aircraft Utility systems, AUS 2024

作者： Li, Chuandong Wu, Shuai Wei, Renlei Chen, Taiqi Qin, Mingyuan Chu, Bing Yang, Yuliang Luo, Jianing School of Automation Science and Electrical Engineering Beihang University Beijing100191 China National Key Laboratory of Aircraft Integrated Flight Control Beihang University Beijing100191 China AVIC Shenyang Aircraft Design and Research Institute Ministry of Industry and Information Technology Beijing100191 China Key Laboratory of Advanced Aircraft Systems Beihang University Ministry of Industry and Information Technology Beijing100191 China

In the field of flight control systems, actuators play a crucial role, and dynamic stiffness stands as one of the pivotal metrics to gauge their performance, reflecting the actuators' resilience to external disturbances. Hence, investigating dynamic stiffness is paramount for enhancing the overall performance of flight control systems. This study focuses on a hydraulic dual-parallel actuator system, wherein a mathematical model is established to derive the expression for dynamic stiffness. Leveraging the Amesim software, a simulation model of the parallel actuator system is constructed to conduct an in-depth analysis of its dynamic stiffness characteristics. During simulation, sinusoidal loading forces of varying frequencies are applied at the output end of the actuator system, and displacement response data is collected. Subsequently, the Fast Fourier Transform (FFT) is employed to obtain dynamic stiffness, enabling an analysis of its variations. The relationship between the system's natural frequency and dynamic stiffness is explored, along with an investigation into the primary factors influencing dynamic stiffness. Simulation results indicate that enhancing both support and connection stiffness,reducing load mass and enlarging the piston area can enhance the system's dynamic stiffness, thereby meeting the performance requirements of flight control systems. © The Institution of engineering & Technology 2024.

关键词： Fast Fourier transforms

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Fuzzy Object Ambiguity Determination and Human Attention Assessment for Domestic Service Robots

Fuzzy Object Ambiguity Determination and Human Attention Ass...

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International Conference on Soft Computing and Machine Intelligence (ISCMI)

作者： Kevin Fan Melanie Jouaiti Kerstin Dautenhahn Chrystopher L. Nehaniv Department of Electrical & Computer Engineering and Systems Design Engineering Social and Intelligent Robotics Research Laboratory (SIRRL) University of Waterloo Waterloo Canada Departments of Electrical & Computer Engineering and Systems Design Engineering Social and Intelligent Robotics Research Laboratory (SIRRL) University of Waterloo Waterloo Canada

Domestic service robots have the promising potential of bringing significant services to the general population, and more importantly, successful applications of universal domestic service robots can potentially help mitigate critical societal issues such as senior care. In order to do so, domestic service robots need to integrate seamlessly into home environments. However, home environments are dynamic, complex and filled with personal items. Therefore, ambiguity can quickly arise for robots operating in such rich environments. In this paper, we propose an object ambiguity determination system that can determine the level of ambiguity in robot object selection tasks with fuzzy logic data integration. Additionally, we propose a functional human attention assessment system with fuzzy logic that enables the robot to determine user attention before committing to general disambiguation processes. Our preliminary results show that the proposed fuzzy logic inference systems can reliably estimate the robot object selection task ambiguity from object confidence level and the number of potential target objects that satisfy the user's command. Furthermore, fuzzy inference is applied to decide human eye gaze direction robustly. These subsystems can be utilized in the context of human-robot interaction to guide the robot when to seek feedback from a human partner in order to disambiguate reference in domestic service tasks. The source code of all proposed systems is available publicly on GitHub. 1

关键词： Fuzzy logic Service robots Source coding Sociology Human-robot interaction Data integration Reliability

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Hybrid Investment Casting of Al-Cu-Sc Alloy-Based Lattice Structures: Material and Process Characterization

SSRN

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SSRN 2024年

作者： Li, Yifan Dias Filho, José Marcelino Dehgahi, Shirin Butt, Sajid Ullah Henein, H. Qureshi, Ahmed Jawad Additive Design and Manufacturing Systems Laboratory Department of Mechanical Engineering University of Alberta EdmontonAB Canada Advanced Materials and Processing Laboratory Department of Chemical and Materials Engineering University of Alberta EdmontonAB Canada

This paper characterizes the development and optimization of a hybrid investment casting approach tailored for accurately crafting lattice structures with Al-4.5wt pct Cu-0.4wt pct Sc alloy, emphasizing precision in mold making, complex surface detailing, and porosity reduction. The core of the research is the description of the manufacturing procedure and the dimensional optimization strategies associated with this hybrid cast lattice geometries. After exploring the lattice shape produced through this advanced casting method, this research explores the microstructural properties and the solidification cooling rate of this hybrid investment casting. Furthermore, this work also addresses the complexity of the manufacturing protocol and the dimensional refinement method. © 2024, The Authors. All rights reserved.

关键词： Investment casting

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Hierarchy-Aware and Channel-Adaptive Semantic Communication for Bandwidth-Limited Data Fusion

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IEEE Wireless Communications Letters 2025年

作者： Guo, Lei Chen, Wei Sun, Yuxuan Ai, Bo Pappas, Nikolaos Quek, Tony Beijing Jiaotong University State Key Laboratory of Advanced Rail Autonomous Operation China Beijing Jiaotong University School of Electronic and Information Engineering Beijing China Linköping University Department of Computer and Information Science Linköping Sweden Singapore University of Technology and Design Information Systems Technology and Design Singapore

Obtaining high-resolution hyperspectral images (HR-HSI) is costly and data-intensive, making it necessary to fuse low-resolution hyperspectral images (LR-HSI) with high-resolution RGB images (HR-RGB) for practical applications. However, traditional fusion techniques, which integrate detailed information into the reconstruction, significantly increase bandwidth consumption compared to directly transmitting raw data. To overcome these challenges, we propose a hierarchy-aware and channel-adaptive semantic communication approach for bandwidth-limited data fusion. A hierarchical correlation module is proposed to preserve both the overall structural information and the details of the image required for super-resolution. This module efficiently combines deep semantic and shallow features from LR-HSI and HR-RGB. To further reduce bandwidth usage while preserving reconstruction quality, a channel-adaptive attention mechanism based on Transformer is proposed to dynamically integrate and transmit the deep and shallow features, enabling efficient data transmission and high-quality HR-HSI reconstruction. Experimental results on the CAVE and Washington DC Mall datasets demonstrate that our method outperforms single-source transmission, achieving up to a 2 dB improvement in peak signal-to-noise ratio (PSNR). Additionally, it reduces bandwidth consumption by two-thirds, confirming its effectiveness in bandwidth-constrained environments for HR-HSI reconstruction tasks. © 2012 IEEE.

关键词： Bandwidth

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Determining Parameter Objectives via Model-Based engineering

Determining Parameter Objectives via Model-Based Engineering

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2023 IEEE Electric Ship Technologies Symposium, ESTS 2023

作者： Cuzner, Robert M. Gross, David C. Siddaiah, Rounak Chalfant, Julie Steurer, Mischa Ali, Naqash Univ. of Wisconsin-Milwaukee Center for Sustainability Electrical Energy Systems MilwaukeeWI United States Florida State University Center for Advanced Power Systems TallahasseeFL United States Massachusetts Institute of Technology Sea Grant Design Laboratory CambridgeMA United States Florida State University Systems Engineering Panama CityFL United States

ISBN: (纸本)9781665465151

The concept development of any system includes the definition of various parameters of interest and determination of the threshold (satisfactory) and goal (desired) value for each. These are classically organized into Measures of Effectiveness, Measures of Performance, and lower-level Technical Performance Measures. These form the basis of performance requirements, the means for evaluating design, and the measure by which systems are validated. They define the trade space within which to optimize the emerging solution. This is challenging in routine development and substantially complicated when the system of interest aims for unprecedented capabilities from emerging technologies, which is the situation for electric ship research. This paper presents a method for defining parameters and objectives which is being developed and used in the U.S. Department of Navy sponsored Power Electronic Power Distribution System (PEPDS) research initiative. The method then integrates the Model-Based systems engineering system model with genetic algorithm trade space exploration tools. © 2023 IEEE.

关键词： Genetic algorithms

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