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Flexible multifunctional platform based on piezoelectric acoustics for human–machine interaction and environmental perception

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Microsystems & Nanoengineering 2022年第5期8卷 91-103页

作者： Qian Zhang Yong Wang Dongsheng Li Jin Xie Ran Tao Jingting Luo xuewu dai Hamdi Torun Qiang Wu Wai Pang Ng Richard Binns YongQing Fu The State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University310027 HangzhouChina Faculty of Engineering and Environment University of NorthumbriaNewcastle upon Tyne NE18STUK Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province School of EngineeringWestlake University310024 HangzhouChina Key Laboratory of Optoelectronic Devices and Systems of Education Ministry and Guangdong Province College of Physics and Optoelectronic EngineeringShenzhen University518060 ShenzhenChina

Flexible human–machine interfaces show broad prospects for next-generation flexible or wearable electronics compared with their currently available bulky and rigid ***,compared to their rigid counterparts,most reported flexible devices(e.g.,flexible loudspeakers and microphones)show inferior performance,mainly due to the nature of their ***,it is of great significance to improve their performance by developing and optimizing new materials,structures and design *** this paper,a flexible acoustic platform based on a zinc oxide(ZnO)thin film on an aluminum foil substrate is developed and optimized;this platform can be applied as a loudspeaker,a microphone,or an ambient sensor depending on the selection of its excitation *** used as a speaker,the proposed structure shows a high sound pressure level(SPL)of~90 dB(with a standard deviation of~3.6 dB),a low total harmonic distortion of~1.41%,and a uniform directivity(with a standard deviation of~4 dB).Its normalized SPL is higher than those of similar devices reported in the recent *** used as a microphone,the proposed device shows a precision of 98%for speech recognition,and the measured audio signals show a strong similarity to the original audio signals,demonstrating its equivalent performance compared to a rigid commercial *** a flexible sensor,this device shows a high temperature coefficient of frequency of−289 ppm/K and good performance for respiratory monitoring.

关键词： acoustics piezoelectric speakers

Position encoded asymmetrically clipped optical orthogonal frequency division multiplexing in visible light communications

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Journal of Communications and Information Networks 2017年第4期2卷 1-10页

作者： Osama Saied Zabih Ghassemlooy Xuan Tang xuewu dai Hoa Le Minh Bangjiang Lin Optical Communications Research Group NCRLabFaculty of Engineering and EnvironmentNorthumbria UniversityNewcastle Upon Tyne NE18STUK Quanzhou Institute of Equipment Manufacturing Haixi InstitutesChinese Academy of SciencesQuanzhou 350001China College of Engineering Huaqiao UniversityQuanzhou 362021China

A PE-ACO-OFDM(Position-Encoded Asymmetrically Clipped Optical Orthogonal Frequency Division Multiplexing)signaling scheme for intensity modulation and direct detection is introduced in this paper,where the anti-asymmetry characteristics of ACO-OFDM are exploited to improve the rate of data *** is achieved by reducing the symbol duration of the ACO-OFDM signal,where only the first half of ACO-OFDM is used to transmit the ACO-OFDM data symbol after inverting its negative samples to positive *** addition,encoded ACO-OFDM samples are combined with every ACO-OFDM symbol to allow the receiver to identify the position of the inverted *** results are introduced,and it is shown that the data rates of PE-ACO-OFDM improve by 33%compared with ACO-OFDM,when a 256-quadrature amplitude modulation scheme is considered as the encoded constellation *** is also shown that the signal to noise ratio of the proposed PE-ACO-OFDM is higher by almost 1 dB compared with the traditional ACO-OFDM.

关键词： visible light communications ACO-OFDM anti-asymmetry characterization symbol duration data rates

Timetable Mapping Model and Dynamic Programming Approach for High-speed Railway Rescheduling

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Timetable Mapping Model and Dynamic Programming Approach for...

数据视角下神经网络增量学习支持的涡轮盘多目标优化

第三十九届中国控制会议

作者： Peng Xu Guoqi Feng Dongliang Cui xuewu dai Qi Zhang Feng Chen School of business administration Northeastern University Laboratory of Synthetical Automation for Process Industries Northeastern University The Center of National Railway Intelligent Transportation System Engineering and Technology

In railway systems,rescheduling trains in case of delays or disruptions occur is a critical and challenging task to remain the punctuality of railway *** the railway traffic rescheduling problem is complex,computation-intensive and time-consuming from practical and computational *** problem has typically a very large search space,making it time-consuming to solve even for state-of-the-art optimization *** this paper,a dynamic programming（DP）approach is used to address the issues of high computation costs in rescheduling railways traffics under various delays,in order to map the arrival and departure time of the train to the state of DP,we develop a timetable mapping model for the real-time train rescheduling（TTR） *** section is modeled as a stage in the action space and the state of each stage is represented by the departure sequence of all the trains at the station for timetable *** we further obtain the state transfer equation and construct the Bellman equation with the goal of minimizing the total delay time and use the Bellman equation inverse to derive the ***,numerical experiments of TTR are *** advantage of the proposed DP is illustrated from the perspective of the strategy compared with the widely used First-Come-First Serve（FCFS） and the First Schedule-First-Serve（FSFS）.It shows that the proposed DP can effectively solve the TTR problems,especially for primary delay problems.

关键词： dynamic programming approach rescheduling high-speed railway timetable mapping

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计算机集成制造系统 2021年第8期27卷 2393-2404页

作者：冯国奇崔东亮代学武俞胜平东北大学工商管理学院辽宁沈阳110819 东北大学流程工业综合自动化国家重点实验室辽宁沈阳110819

针对航空发动机涡轮盘多目标优化计算密集、案例需求大、分析费用高的问题,提出一种基于混合样本管理的人工神经网络训练方法,以辅助多目标粒子群优化算法处理这类计算密集问题。通过均匀设计的偏差控制,设计面向混合精度数值仿真的试验... 详细信息

针对航空发动机涡轮盘多目标优化计算密集、案例需求大、分析费用高的问题,提出一种基于混合样本管理的人工神经网络训练方法,以辅助多目标粒子群优化算法处理这类计算密集问题。通过均匀设计的偏差控制,设计面向混合精度数值仿真的试验表;在误差分析基础上,通过联合优化“虚拟样本噪声强度—隐含层节点数—虚拟样本量”,确定混合样本集的构造方法和神经网络拓扑结构,以提高模型的精度和泛化能力;多目标优化过程中,采用基于网格邻域信息的拥挤指标提高Pareto前沿的收敛性、多样性和均匀性;通过遗忘式增量学习提高寻优目标的导向性。以某型涡轮盘的多目标优化设计为例验证该体系的有效性。实验表明,所提方法在保证涡轮盘多目标优化质量的前提下,能够显著降低设计费用。

关键词：涡轮盘混合样本人工神经网络多目标粒子群优化算法增量学习

无线传感器网络环境下基于卡尔曼滤波的PTP协议

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智能系统学报 2012年第6期7卷 518-524页

作者：叶玲李太华代学武西南大学电子信息工程学院重庆400715

作为分布式系统的重要组成部分,精确时间同步是对时间敏感的工业无线网络的核心技术.基于时间信息包交换的IEEE 1588精确时间同步协议(PTP)主要针对有线网络提出,其同步精度受制于时间戳的精度和传输延迟抖动.在无线传感网中,节点难以... 详细信息

作为分布式系统的重要组成部分,精确时间同步是对时间敏感的工业无线网络的核心技术.基于时间信息包交换的IEEE 1588精确时间同步协议(PTP)主要针对有线网络提出,其同步精度受制于时间戳的精度和传输延迟抖动.在无线传感网中,节点难以获取精确时钟戳,同时由于信道共享、包冲突和信道衰落,无线网络的传输延迟抖动非常明显.研究了无线网络中PTP的性能与时间戳精度之间的关系,提出了一个自回归模型来描述时钟漂移,将PTP中的包交换过程抽象为一组状态空间方程,将延迟抖动等作为观测噪音,从而利用卡尔曼滤波器予以滤除.仿真结果表明,在不同时间戳精度和延迟抖动下,卡尔曼滤波能有效改善时钟误差和稳定性.

关键词：精确时间同步协议卡尔曼滤波无线传感器网络自回归模型状态空间模型

基于运控和调度协同仿真的列车阶段调整计划评估

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计算机集成制造系统 2022年第11期28卷 3454-3463页

作者：杨鹏鑫崔东亮代学武岳鹏刘瑞广东北大学流程工业综合自动化国家重点实验室辽宁沈阳110819

当高铁列车发生晚点偏离基本运行图,无法按图运行时,需要制定3~4小时阶段调整计划,以减少晚点。如何评估列车运行图的有效性,以合理地选择一个较优的阶段调整计划是行车调度的核心问题,尤其是列车运行过程中会持续受各种不确定因素的影... 详细信息

当高铁列车发生晚点偏离基本运行图,无法按图运行时,需要制定3~4小时阶段调整计划,以减少晚点。如何评估列车运行图的有效性,以合理地选择一个较优的阶段调整计划是行车调度的核心问题,尤其是列车运行过程中会持续受各种不确定因素的影响,形成新的晚点。针对该问题,设计开发了运控调度协同快速仿真系统,提出一种不确定扰动下列车阶段调整计划的鲁棒性评估方法。该仿真系统集成了机理和数据驱动结合的列车运行模型、数据驱动的列车延误不确定性扰动模型,以及交互式通信接口,具备了在各种延误扰动下列车阶段调整计划的仿真验证,并通过鲁棒性评估模块,对调度方案进行晚点传播情况、晚点恢复能力等性能指标的统计分析,对阶段调整计划进行全流程全场景的鲁棒性评估。以哈大高速铁路沈阳-大连北区段为例,对两种调度算法生成的调整运行图进行评估,验证了所设计的仿真器能够快速、可靠地对阶段调整计划进行评估,为未来开展智能调度,寻找晚点恢复性能和鲁棒性兼顾优化的调度算法提供准确的目标函数评估和数据支撑。

关键词：列车运行仿真器不确定性扰动阶段调整计划评估智能调度

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公交IC卡信息采集、分析与应用研究

土木工程学报 2004年第2期37卷 105-110页

作者：陈学武戴霄陈茜东南大学交通学院

城市公共交通在我国城市交通中占有重要的地位 ,是同我国城市居民生产、生活等活动密切相关的系统。公交客流信息是公交调度管理及线网优化的基础 ,公交IC卡的应用为公交信息的获取提供了技术保障。论文围绕我国城市公交特性 ,对公交IC... 详细信息

城市公共交通在我国城市交通中占有重要的地位 ,是同我国城市居民生产、生活等活动密切相关的系统。公交客流信息是公交调度管理及线网优化的基础 ,公交IC卡的应用为公交信息的获取提供了技术保障。论文围绕我国城市公交特性 ,对公交IC卡的信息采集、分析和应用进行了探讨 ,研究了基于现状IC卡信息采集技术的公交客流及出行信息的分析方法 ,为发展智能公交建立了基础。

关键词：城市公共交通 IC卡信息采集出行路径调度

神经网络辅助的多目标粒子群优化算法在复杂产品设计中的应用

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系统管理学报 2019年第4期28卷 687-696,707页

作者：冯国奇崔东亮张琦代学武东北大学工商管理学院沈阳110819 流程工业综合自动化国家重点实验室沈阳110819 中国铁道科学研究院通信信号研究所北京100081

复杂产品有限元分析(Finite Element Analysis,FEA)费用很高,给多目标优化(Multi-ObjectiveOptimization,MOO)带来很大困难.提出一种人工神经网络(Artificial Neural Network,ANN)辅助的多目标粒子群优化算法(Multi-Objective Particle Swarm Optimization,MOPSO)处理这类计算密集的设计问题:以基于噪声的虚拟样本丰富ANN的训练样本集,通过虚拟样本的控制参数和ANN模型参数的协同优化提高ANN泛化能力;以此ANN为代理模型支持多目标粒子群算法的进化,并采用基于网格邻域信息的拥挤指标提高Pareto前沿的收敛性、多样性及均匀性.最后,以航空发动机高压涡轮盘(High Pressure Turbine Disc,HPTD)多目标优化案例验证该策略的有效性和可用性.试验证明,这种面向成本的MOO方法降低了复杂产品多目标优化的工程应用难度,提高了设计质量.

关键词：复杂产品小样本数据人工神经网络多目标粒子群优化算法

Robust Fault Detection Observer in Wireless Networked Control Systems

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Robust Fault Detection Observer in Wireless Networked Contro...