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Blockchain-Enabled Federated Learning with Differential Privacy for Internet of Vehicles

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Computers, Materials and Continua 2024年第1期81卷 1581-1593页

作者： Cui, Chi du, haiping Jia, Zhijuan He, Yuchu Wang, Lipeng School of Information Science and Technology Zhengzhou Normal University Zhengzhou 450044 China School of Electrical Computer and Telecommunications Engineering University ofWollongong Wollongong NSW 2500 Australia

The rapid evolution of artificial intelligence (AI) technologies has significantly propelled the advancement of the Internet of Vehicles (IoV). With AI support, represented by machine learning technology, vehicles gain the capability to make intelligent decisions. As a distributed learning paradigm, federated learning (FL) has emerged as a preferred solution in IoV. Compared to traditional centralized machine learning, FL reduces communication overhead and improves privacy *** these benefits, FL still faces some security and privacy concerns, such as poisoning attacks and inference attacks, prompting exploration into blockchain integration to enhance its security posture. This paper introduces a novel blockchain-enabled federated learning (BCFL) scheme with differential privacy (DP) tailored for IoV. In order to meet the performance demanding IoV environment, the proposed methodology integrates a consortium blockchain with Practical Byzantine Fault Tolerance (PBFT) consensus, which offers superior efficiency over the conventional public blockchains. In addition, the proposed approach utilizes the Differentially Private Stochastic Gradient Descent (DP-SGD) algorithm in the local training process of FL for enhanced privacy protection. Experiment results indicate that the integration of blockchain elevates the security level of FL in that the proposed approach effectively safeguards FL against poisoning attacks. On the other hand, the additional overhead associated with blockchain integration is also limited to a moderate level to meet the efficiency criteria of IoV. Furthermore, by incorporating DP, the proposed approach is shown to have the (Ε-δ) privacy guarantee while maintaining an acceptable level of model accuracy. This enhancement effectively mitigates the threat of inference attacks on private information. © 2024 The Authors. Published by Tech Science Press.

关键词： Federated learning

环境监测全过程质量管理中提升监测水平的优化策略

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黑龙江环境通报 2024年第3期37卷 43-45页

作者：杜海萍南京经开环境监测有限公司南京210000

随着社会经济的发展和人们生活水平的提高,在满足基本生活的基础上,人们对于生活质量有了更高的要求。因此,生态环境问题得到了更多的关注,人们对生态环境的质量要求也在不断增加,环境保护工作成为社会发展中不可忽视的问题。环境监测... 详细信息

随着社会经济的发展和人们生活水平的提高,在满足基本生活的基础上,人们对于生活质量有了更高的要求。因此,生态环境问题得到了更多的关注,人们对生态环境的质量要求也在不断增加,环境保护工作成为社会发展中不可忽视的问题。环境监测作为环境保护工作中必不可少的部分,应重点关注环境监测的能力,从而才能满足人们对生态环境质量的要求。本文首先阐述环境监测全过程质量管理的作用,分析影响环境监测水平的因素,并提出相应提高环境监测水平的策略,旨在为环境监测全过程质量管理工作的开展提供保证,提高监测能力,进而满足社会发展的要求。

关键词：环境监测全过程质量管理监测水平

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自动驾驶汽车避撞极限研究

汽车工程 2024年第6期46卷 985-994页

作者：王国栋刘立孟宇杜海平白国星顾青北京科技大学机械工程学院北京100083 伍伦贡大学电子计算机与通信工程学院伍伦贡2522

精确计算不同避撞控制策略的极限避撞距离是自动驾驶汽车避撞决策与控制的基础。为厘清差动制动控制对避撞距离的影响,探究转向和差动制动集成控制的极限避撞能力,提高极限避撞距离的计算精度,本研究基于非线性车辆集成动力学和最优控... 详细信息

精确计算不同避撞控制策略的极限避撞距离是自动驾驶汽车避撞决策与控制的基础。为厘清差动制动控制对避撞距离的影响,探究转向和差动制动集成控制的极限避撞能力,提高极限避撞距离的计算精度,本研究基于非线性车辆集成动力学和最优控制理论提出一种自动驾驶汽车极限避撞距离计算方法。首先,建立了非线性7自由度车辆动力学模型和复合滑移工况的Pacejka轮胎模型。进一步地,基于上述模型构建了极限避撞距离求解问题,并将其转化为最优控制问题。然后,设计了高斯伪谱法将最优控制问题转化为非线性规划问题并求解。最后,分析了转向控制、制动控制、转向和制动集成控制、转向和差动制动集成控制的极限避撞距离,并与基于质点模型计算和CarSim测试的结果进行了对比。结果表明:转向和差动制动集成控制能够进一步减少自动驾驶汽车的避撞距离,显著提高其避撞能力;本研究所提方法能够显著提高极限避撞距离的计算精度和避撞决策结果的可靠性。

关键词：自动驾驶汽车车辆集成动力学避撞控制避撞极限高斯伪谱法

Corrigendum to“GmTOC1b negatively regulates resistance to Soybean mosaic virus”.[Crop J.11(2023)1762-1773]

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The Crop Journal 2024年第1期12卷 320-320页

作者： Yuhang Zhang haiping du Tiantian Zhao Chunmei Liao Tu Feng Jun Qin Baohui Liu Fanjiang Kong Zhijun Che Liyu Chen Guangdong Key Laboratory of Plant Adaptation and Molecular Design Guangzhou Key Laboratory of Crop Gene EditingInnovative Center of Molecular Genetics and EvolutionSchool of Life SciencesGuangzhou UniversityGuangzhou 510006GuangdongChina Hebei Laboratory of Crop Genetics and Breeding National Soybean Improvement Center Shijiazhuang Sub-CenterHuang-Huai-Hai Key Laboratory of Biology and Genetic Improvement of SoybeanMinistry of Agriculture and Rural AffairsInstitute of Cereal and Oil CropsHebei Academy of Agricultural and Forestry SciencesShijiazhuang 050035HebeiChina School of Ecological Engineering Guizhou University of Engineering ScienceBijie 551700GuizhouChina School of Agriculture Ningxia UniversityYinchuan 750021NingxiaChina College of Life Science Hebei Normal UniversityShijiazhuang 050024HebeiChina

The authors regret to report a mistake in the text and an associated change necessary to section 3.6 of the *** page 1766 in the right-hand column,line 4,the heading of subsection 3.6“GmWRKY40 represses the expression of PR genes”should be changed to“GmWRKY40 promotes the expression of PR genes”.The authors would like to apologize for any inconvenience caused.

关键词： Cor heading resistance

两种酸笋主要成分、挥发性成分及抗氧化活性对比

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食品与机械 2024年第1期40卷 145-151页

作者：廖安杜海平程昊刘天义田艳广西科技大学广西柳州545006 广西柳州螺蛳粉工程技术研究中心广西柳州545006 宁乡市市场和质量监督检验检测中心湖南宁乡410600 广西金竹山食品科技有限责任公司广西柳州545006 柳州市添翼种养专业合作社广西柳州545008

目的:研究两种酸笋的化学成分、挥发性成分和生物活性及酸笋的区域特性和风味形成机制。方法:采用理化试验分析酸笋及其提取物中的主要成分,利用顶空固相微萃取气相色谱—质谱联用仪(HS-SPME-GC-MS)对酸笋中的挥发性风味成分进行鉴定和... 详细信息

目的:研究两种酸笋的化学成分、挥发性成分和生物活性及酸笋的区域特性和风味形成机制。方法:采用理化试验分析酸笋及其提取物中的主要成分,利用顶空固相微萃取气相色谱—质谱联用仪(HS-SPME-GC-MS)对酸笋中的挥发性风味成分进行鉴定和分析,通过体外抗氧化活性方法(ABTS自由基清除方法、DPPH自由基清除方法和FRAP法)评估酸笋提取物的抗氧化活性。结果:GXLZTY酸笋和GDYBNX酸笋在水分、pH、可溶性总糖、脂肪、氨基酸态氮和亚硝酸盐的含量上无明显差异。然而,氯化物、总酸、蛋白质、膳食纤维、总黄酮、总多酚和矿物质元素的含量在两者之间存在显著差异。GXLZTY酸笋中的主要成分为对甲基苯酚、己酸、辛酸、2-乙基己醇和二氧化硫,而GDYBNX酸笋中的主要成分为对甲基苯酚、醋酸和丝氨醇。GXLZTY酸笋提取物在清除ABTS自由基、DPPH自由基和FRAP活性方面的表现均优于GDYBNX酸笋提取物。结论:GXLZTY酸笋具有更高的营养价值和抗氧化活性。

关键词：酸笋挥发性成分抗氧化活性

Shared Control of Highly Automated Vehicles Using Steer-By-Wire Systems

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IEEE/CAA Journal of Automatica Sinica 2019年第2期6卷 410-423页

作者： Chao Huang Fazel Naghdy haiping du Hailong Huang the College of Information Science and Engineering Northeastern University the School of Electrical Computer and Telecommunications Engineering University of Wollongong

A shared control of highly automated Steer-by-Wire system is proposed for cooperative driving between the driver and vehicle in the face of driver's abnormal driving. A fault detection scheme is designed to detect the abnormal driving behaviour and transfer the control of the car to the automatic system designed based on a fault tolerant model predictive control(MPC) controller driving the vehicle along an optimal safe *** proposed concept and control algorithm are tested in a number of scenarios representing intersection, lane change and different types of driver's abnormal behaviour. The simulation results show the feasibility and effectiveness of the proposed method.

关键词： Driver behaviour highly automation shared control steer-by-wire system

Constrained nonlinear MPC for accelerated tracking piece-wise references and its applications to thermal systems

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Control Theory and Technology 2022年第1期20卷 69-79页

作者： Defeng He Qingsong Wang Ping Han haiping du College of Information Engineering Zhejiang University of TechnologyHangzhou310023ZhejiangChina School of Electrical Computer and Telecommunications EngineeringUniversity of WollongongWollongongNSW2522Australia

In this paper,we propose a model predictive control(MPC)strategy for accelerated offset-free tracking piece-wise constant reference signals of nonlinear systems subject to state and control *** special contractive constraints on tracking errors and terminal constraints are embedded into the tracking nonlinear MPC ***,recursive feasibility and closed-loop convergence of the tracking MPC are guaranteed in the presence of piece-wise references and constraints by deriving some sufficient ***,the local optimality of the tracking MPC is achieved for unreachable output reference *** comparing to traditional tracking MPC,the simulation experiment of a thermal system is used to demonstrate the acceleration ability and the effectiveness of the tracking MPC scheme proposed here.

关键词： Model predictive control Nonlinear systems Constrained control Tracking control Thermal systems

Distributed multilane merging for connected autonomous vehicle platooning

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Science China(Information Sciences) 2021年第11期64卷 171-186页

作者： Jingkai WU Yafei WANG Zhaokun SHEN Lin WANG haiping du Chengliang YIN School of Mechanical Engineering Shanghai Jiao Tong University School of Electrical and Electronics Engineering Shanghai Jiao Tong University School of Electrical Computer and Telecommunications Engineering University of Wollongong

In the context of coordination of connected autonomous vehicles(CAVs), the platooning operation is a promising application. The formulation of a single stream of CAVs is conducive to traffic efficiency and merging operations extend the benefits for multilane road users. However, the problem of simultaneous merging and platooning lacks comprehensive investigation. A solution is formulated in this paper through a new scheme that considers inter-vehicle safety distance constraints and distributed deployment utilizing local inter-vehicle information exchanges. A distributed consensus-based controller synthesized with a collision avoidance design is developed to direct the CAVs to maintain the velocity and spacing required to avoid intervehicle collisions. Furthermore, a framework fusing an agent motion model with vehicle controllers based on a dynamics model that facilitates both longitudinal and lateral controls is proposed, contributing to a cross-model planning-tracking controller. Theoretical proof of asymptotic stability of the proposed controller and its collision avoidance capability are also elaborated. The merging and platooning function was tested in a hardware-in-the-loop(Hi L) experiment, demonstrating the precise tracking performance and comparable merging responses to a typical multiagent system. In comparison with trajectory-based merging algorithms,the proposed framework is able to achieve finer stepwise tracking results without centralized coordination or predefined trajectories.

关键词： platoon merging connected autonomous vehicle multiagent system distributed controller

Understandings and future challenges in soybean functional genomics and molecular breeding

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Journal of Integrative Plant Biology 2023年第2期65卷 468-495页

作者： haiping du Chao Fang Yaru Li Fanjiang Kong Baohui Liu Guangdong Key Laboratory of Plant Adaptation and Molecular Design Guangzhou Key Laboratory of Crop Gene EditingInnovative Center of Molecular Genetics and EvolutionSchool of Life SciencesGuangzhou UniversityGuangzhou 510006China

Soybean(Glycine max)is a major source of plant protein and *** breeding has benefited from advances in functional *** particular,the release of soybean reference genomes has advanced our understanding of soybean adaptation to soil nutrient deficiencies,the molecular mechanism of symbiotic nitrogen(N)fixation,biotic and abiotic stress tolerance,and the roles of flowering time in regional adaptation,plant architecture,and seed yield and ***,many challenges remain for soybean functional genomics and molecular breeding,mainly related to improving grain yield through high-density planting,maize-soybean intercropping,taking advantage of wild resources,utilization of heterosis,genomic prediction and selection breeding,and precise breeding through genome *** review summarizes the current progress in soybean functional genomics and directs future challenges for molecular breeding of soybean.

关键词： flowering time functional genomics grain yield nodulation plant architecture response to nutrition deficiency seed quality soybean stress resistance