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第41届中国控制会议

作者： Jie Li Weihua Cao Zhicheng Zhao Han Peng School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Virtual USB storage technology is an application technology that integrates Universal Serial Bus(USB) virtualization,file system virtualization and reliable file data transfer,which is often applied to virtual file transfer in data *** the current traditional virtual USB storage technology relies on specific software and poor system compatibility,this paper proposes a hardware-based virtual USB storage solution that uses the built-in USB driver of each operating system to map the local USB storage device to the remote controlled server to achieve file reading and *** show that the scheme proposed in this paper has the advantages of simple implementation,good system compatibility,safe and stable *** technology has been successfully applied to the data room management of an enterprise.

关键词： USB storage virtualization file transfer remote mapping

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A Canonical Correlation Analysis-Based Approach for Battery State of Charge Estimation

A Canonical Correlation Analysis-Based Approach for Battery ...

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第35届中国控制与决策会议

作者： Zichuan Ni Ying Yang State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering ScienceCollege of EngineeringPeking University

This brief presents a novel method based on canonical correlation analysis（CCA） and particle filter（PF） for battery state of charge（SOC） *** specifically,CCA is adopted to provide a universal way for battery SOC estimation with PF for error ***,the input data are first mapped to polynomial terms before training to find the intrinsic ***,l-norm regularization is further added to the loss function in order to prevent ***,the SOC estimation result from CCA training is combined with the Coulomb counting model and updated by PF for error *** results using battery testing data at different testing profiles and temperatures show the high accuracy of estimation and robustness to wrong initial *** particular,compared with linear regression,support vector regression,and neural network,the error of the proposed method is reduced to 1.47%.

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Heat transfer behaviors of some supercritical fluids: A review

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Chinese Journal of Aeronautics 2022年第1期35卷 290-306页

作者： Gongnan XIE Xiaoxiao XU Xianliang LEI Zhouhang LI Yong LI Bengt SUNDEN School of Marine Science and Technology Northwestern Poly technical UniversityXi'an 710072China Key Laboratory of Low-grade Energy Utilization Technologies and Systems Chongqing UniversityChongqing 400044China State Key Laboratory of Multiphase Flow in Power Engineering Xi'an Jiaotong UniversityXi'an 710049China State Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization Kunming University of Science and TechnologyKunming 650093China School of Mechanical Engineering Northwestern Polyteclwical UniversityXi'an 710072China Department of Energy Sciences Lund UniversitySE-22100 LundSweden

Supercritical fluids(e.g.,hydrocarbon fuels,water,carbon dioxide,and organic working medium,etc)have been recognized as working media to improve thermal efficiencies in power cycles and energy conversion,and have been used or selected as the working fluids in engineering fields such as aerospace,nuclear power,solar energy,refrigeration,geothermal energy,chemical technology,and so *** better understand the interesting characteristic or abnormal behaviors of supercritical fluids,most valuable research works(including experimental results and numerical studies)from domestic and abroad have been *** such,this paper presents a comprehensive review on heat transfer behaviors of some supercritical fluids in engineering *** review focuses on recently available articles published mainly from 2016 up to the present *** common problems(i.e.,heat transfer enhancement and heat transfer deterioration particularly for the supercritical hydrocarbon fuels)in the supercritical field are summarized and some perspectives on future prospects are also included.

关键词： Heat transfer behavior Supercritical fluids Thermo-physical property Turbulence model Working condition

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An Improved SimAM Based CNN for Facial Expression Recognition 41

An Improved SimAM Based CNN for Facial Expression Recognitio...

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第41届中国控制会议

作者： Lan-Qin Zhang Zhen-Tao Liu Cheng-Shan Jiang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

To achieve effective deployment of the facial expression recognition(FER) system on marginalized devices,we designed a lightweight neural network based on ShufflenetV2,which can balance the relationship between the number of network parameters and the accuracy of *** this paper,a non-parameter SimAM attention module that can extract 3 D features is employed in the ShufflenetV2 network to enhance the spatial features extraction ability of the network,and the shortcut branch is introduced in Bottleneck for information interaction and feature fusion between *** tests were carried out on the RaFD dataset,and the recognition accuracy reaches 98.04%,while the number of model parameters is only 1.4 M.

关键词： Facial expression recognition Shufflenet SimAM Lightweight Neural Network

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An Improved Exponential Stability Criterion of Generalized Neural Networks With Intermittent Large-Delay Periods 41

An Improved Exponential Stability Criterion of Generalized N...

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第41届中国控制会议

作者： Jin-Meng Xu Yong He Wen-Hu Chen Zhe-Li Yuan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper focuses on the exponential stability analysis of generalized neural networks(GNNs) with time-varying delays,where the time delays include several intermittent large-delay periods(LDPs).First,the improved piecewise augmented Lyapunov-Krasovskii functional(LKF) candidate is constructed based on the delay-dependent state ***,some advanced inequalities are adopted to estimate the derivative of LKF *** with switching techniques,an exponential stability criterion with less conservativeness is *** last,a numerical example is used to verify the advantage of the proposed criterion.

关键词： Time-varying delay Switched delay system Large-delay period Exponential stability

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Full-State Planning of Nonholonomic Mobile Robots via Dynamic Velocity Vector Fields

Full-State Planning of Nonholonomic Mobile Robots via Dynami...

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第35届中国控制与决策会议

作者： Xiaodong He Zhongkui Li State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering ScienceCollege of EngineeringPeking University

As a rigid body,the nonholonomic mobile robot contains both states of position and *** order to plan these states simultaneously,this paper investigates the fullstate planning problem of nonholonomic mobile robots,in the sense that the robots should reach the specified positions and meanwhile point to the desired orientations at the terminal *** this end,we propose a velocity vector field which guides the mobile robots to the goal ***,the dynamics of the robot orientation is brought into the vector field,so that the attitude angle of the robot can converge to the specified value following the orientation ***,we study the obstacle avoidance and mutual-robot-collision avoidance by proposing another velocity vector field,which guides the robots moving along the tangential direction of the dangerous ***,several numerical simulation examples are provided to support the theoretical results.

关键词： Motion planning velocity vector field terminal orientation constraint nonholonomic mobile robot

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Ppt4j: Patch Presence Test for Java Binaries 24

Ppt4j: Patch Presence Test for Java Binaries

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44th ACM/IEEE International Conference on software engineering, ICSE 2024

作者： Pan, Zhiyuan Hu, Xing Xia, Xin Zhan, Xian Lo, David Yang, Xiaohu Zhejiang University The State Key Laboratory of Blockchain and Data Security Hangzhou China Huawei Software Engineering Application Technology Lab Hangzhou China The Hong Kong Polytechnic University Hong Kong School of Computing and Information Systems Singapore Management University Singapore

ISBN: (纸本)9798400702174

The number of vulnerabilities reported in open source software has increased substantially in recent years. Security patches provide the necessary measures to protect software from attacks and vulnerabilities. In practice, it is difficult to identify whether patches have been integrated into software, especially if we only have binary files. Therefore, the ability to test whether a patch is applied to the target binary, a.k.a. patch presence test, is crucial for practitioners. However, it is challenging to obtain accurate semantic information from patches, which could lead to incorrect results. In this paper, we propose a new patch presence test framework named Ppt4j (Patch Presence Test forJava Binaries). Ppt4j is designed for open-source Java libraries. It takes Java binaries (i.e. bytecode files) as input, extracts semantic information from patches, and uses feature-based techniques to identify patch lines in the binaries. To evaluate the effectiveness of our proposed approach Ppt4j, we construct a dataset with binaries that include 110 vulnerabilities. The results show that Ppt4j achieves an F1 score of 98.5% with reasonable efficiency, improving the baseline by 14.2%. Furthermore, we conduct an in-the-wild evaluation of Ppt4j on JetBrains IntelliJ IDEA. The results suggest that a third-party library included in the software is not patched for two CVEs, and we have reported this potential security problem to the vendor. © 2024 ACM.

关键词： Open source software

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A Physics-Informed Gaussian Process Regression Algorithm for the Dynamics of the Planar Pendulum

A Physics-Informed Gaussian Process Regression Algorithm for...

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第42届中国控制会议

作者： Tianzhi Li Jinzhi Wang State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering Science College of EngineeringPeking University

Gaussian process regression has received considerable attention due to its performance in solving the problem of learning and predicting the dynamics of certain systems in the machine learning area. However, this data-driven method ignores the prior physical information. A feasible method to tackle this problem is to embed prior dynamics into the Gaussian process regression. This naturally relies on numerical discretizations of continuous-time differential equations that describe the ***, conventional discretization schemes do not respect the intrinsic geometric structure of the system, which plays an important role when analyzing the properties of the mechanical system. In this work, we develop a physic-informed Gaussian process regression algorithm based on Hamel's formalism and its variational integrator. Computational properties are illustrated by the numerical experiment of learning and predicting the dynamics of a planar pendulum.

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Tracking performance limitations of networked control systems with packet dropouts and logarithmic quantization 41

Tracking performance limitations of networked control system...

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第41届中国控制会议

作者： Jianhao Li Xiaowei Jiang Hao Chen Shaoying Wang Xianhe Zhang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation of Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Fujian Provincial Key Laboratory of Intelligent Identification and Control of Complex Dynamic System College of Science Binzhou University School of Electrical Engineering and Automation Hubei Normal University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this paper,we focus on the tracking performance(TP) limitations of networked control systems(NCS s).The control system considered is a multi-input and multi-output(MIMO) discrete-time network control system with time delay,channel noise,packet dropouts,and logarithmic quantization communication *** modeling the channel,we assumed the channel noise to be additive white Gaussian noise(AWGN) and used a binary random process to model packet dropouts and a logarithmic quantizer to model the quantization *** explicit expression of the TP limitations of NCSs utilizing the two-degree-of-freedom(TDOF) controller is then derived using the frequency-domain approach,coprime decomposition,and Youla parameterization *** results show that the essential characteristics of the plant(locations and directions of nonminimum phase zeros and unstable poles) and network constraints(time delay,packet dropouts,quantization,and noise power spectral density) are closely related to the TP limitations.

关键词： Networked control systems tracking performance limitations packet dropouts logarithmic quantization

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Exploring Communication-efficient Federated Learning via Stateless In-network Aggregation

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IEEE Transactions on Mobile Computing 2025年

作者： Xia, Junxu Cheng, Geyao Wu, Wenfei Luo, Lailong Guo, Deke National University of Defense Technology National Key Laboratory of Information Systems Engineering Changsha Hunan410073 China National University of Defense Technology State Key Laboratory of Complex & Critical Software Environment College of Information and Communication Changsha Hunan410073 China Peking University School of Computer Science Beijing100091 China

As an ambitious training paradigm, federated learning has garnered increasing attention in recent years, which enables collaborative training of a global model without accessing users' private data. However, due to the simultaneous and constant model updates gathering from massive distributed clients, the central server generally becomes a performance bottleneck. Additionally, the stateful aggregation (retaining all the updates from each client) conducted by the central server further poses potential threats to privacy, since it may recover the raw data based on such model updates inversely. The state-of-the-art methodologies, however, fail to address these two problems concurrently and efficiently. To this end, we propose GAIN, a secure aggregation acceleration service for federated learning. At its core, GAIN leverages programmable switches deployed at the edge network to aggregate model updates in a stateless manner before transmitting them to the central server. Consequently, GAIN can accelerate the transmission and aggregation of model updates while eliminating the chance of recovering private data. We evaluate the performance of GAIN through FPGA-based experiments and large-scale simulations. The results show that GAIN can effectively reduce bandwidth overhead and achieve up to 4.11× training throughput acceleration while prioritizing privacy protection. © 2025 IEEE.

关键词： Differential privacy

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