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Application of networked discrete event system theory on intelligent transportation systems

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Control Theory and Technology 2021年第2期19卷 236-248页

作者： Jiayuan Liang Chaohui Gong yunfeng hou Miao Yu Weilin Wang School of Optical-Electrical and Computer Engineering University for Shanghai Science and TechnologyShanghai200093China Zhejiang Research Center on Smart Rail Transportation PowerChina Huadong Engineering Corporation LimitedHangzhouZhejiang311225China

The responses of vehicles to the changes in traffic situations inevitably have delays in observing an event and implementing a control command,which often causes fatal *** far,the methods for handling delays are empirical and cannot be mathematically *** eliminate the accidents caused by such delays,in this paper,we develop mathematically provable methods to handle these ***,we use networked discrete event systems to model the process of driving vehicles and present a supervisory controller for handling delay *** method developed in this paper could serve as a new start for modeling and controlling the responsive behaviors of self-driving vehicles in the future.

关键词： Discrete event systems Automata Supervisory control Automated driving systems

The Research of Event Detection and Characterization Technology of Ticket Gate in the Urban Rapid Rail Transit

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Journal of Software Engineering and Applications 2015年第1期8卷 6-15页

作者： yunfeng hou Chaoli Wang yunfeng Ji Department of Control Science and Engineering University of Shanghai for Science and Technology Shanghai China

Making events recognition more reliable under complex environment is one of the most important challenges for the intelligent recognition system to the ticket gate in the urban rapid rail transit. The motion objects passing through the ticket gate could be described as a series of moving sequences got by sensors that located in the walkway side of the ticket gate. This paper presents a robust method to detect some classes of events of ticket gate in the urban rapid rail transit. Diffused reflectance infrared sensors are used to collect signals. In this paper, the motion objects are here referred to passenger(s) or (and) luggage(s), for which are of frequent occurrences in the ticket gate of the urban railway traffic. Specifically, this paper makes two main contributions: 1) The proposed recognition method could be used to identify several events, including the event of one person passing through the ticket gate, the event of two consecutive passengers passing through the ticket gate without a big gap between them, and the event of a passenger walking through the ticket gate pulling a suitcase;2) The moving time sequence matrix is transformed into a one-dimensional vector as the feature descriptor. Deep learning (DL), back propagation neural network (BP), and support vector machine (SVM) are applied to recognize the events respectively. BP has been proved to have a higher recognition rate compared to other methods. In order to implement the three algorithms, a data set is built which includes 150 samples of all kinds of events from the practical tests. Experiments show the effectiveness of the proposed methods.

关键词： Intelligent Recognition Ticket Gate Motion Objects Infrared Sensors Time Sequence

Hypidone hydrochloride(YL-0919)ameliorates functional deficits after traumatic brain injury in mice by activating the sigma-1 receptor for antioxidation

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Neural Regeneration Research 2025年第8期20卷 2325-2336页

作者： Yafan Bai Hui Ma Yue Zhang Jinfeng Li Xiaojuan hou Yixin Yang Guyan Wang yunfeng Li Department of Anesthesiology Beijing Tongren HospitalCapital Medical UniversityBeijingChina Beijing Institute of Basic Medical Sciences BeijingChina Hebei North University ZhangjiakouHebei ProvinceChina Beijing Institute of Pharmacology and Toxicology State Key Laboratory of Toxicology and Medical CountermeasuresBeijing Key Laboratory of NeuropsychopharmacologyBeijingChina

Traumatic brain injury involves complex pathophysiological mechanisms,among which oxidative stress significantly contributes to the occurrence of secondary *** this study,we evaluated hypidone hydrochloride(YL-0919),a self-developed antidepressant with selective sigma-1 receptor agonist properties,and its associated mechanisms and targets in traumatic brain *** experiments to assess functional deficits were followed by assessment of neuronal damage through histological analyses and examination of blood-brain barrier permeability and brain ***,we investigated the antioxidative effects of YL-0919 by assessing the levels of traditional markers of oxidative stress in vivo in mice and in vitro in HT22 ***,the targeted action of YL-0919 was verified by employing a sigma-1 receptor antagonist(BD-1047).Our findings demonstrated that YL-0919 markedly improved deficits in motor function and spatial cognition on day 3 post traumatic brain injury,while also decreasing neuronal mortality and reversing blood-brain barrier disruption and brain ***,YL-0919 effectively combated oxidative stress both in vivo and in *** protective effects of YL-0919 were partially inhibited by *** results indicated that YL-0919 relieved impairments in motor and spatial cognition by restraining oxidative stress,a neuroprotective effect that was partially reversed by the sigma-1 receptor antagonist ***-0919 may have potential as a new treatment for traumatic brain injury.

关键词： antidepressant drug blood-brain barrier cognitive function hypidone hydrochloride(YL-0919) neurological function nuclear factor-erythroid 2 related factor 2 oxidative stress sigma-1 receptor superoxide dismutase traumatic brain injury

往复式摩擦磨损试验机及其计算机控制系统设计

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仪器仪表学报 2010年第8期31卷 1750-1755页

作者：刘永平龚俊辛舟侯运丰兰州理工大学数字制造技术与应用省部共建教育部重点实验室兰州730050

针对不同固体材料在不同条件下的摩擦磨损实验要求,开发设计了一种往复式摩擦磨损试验机,通过测量实验中产生的摩擦力、摩擦系数和磨损量的变化来研究材料的摩擦磨损性能。为提高测试系统的精确性和实时性,将计算机辅助测试系统应用到... 详细信息

针对不同固体材料在不同条件下的摩擦磨损实验要求,开发设计了一种往复式摩擦磨损试验机,通过测量实验中产生的摩擦力、摩擦系数和磨损量的变化来研究材料的摩擦磨损性能。为提高测试系统的精确性和实时性,将计算机辅助测试系统应用到摩擦学试验当中,通过数据采集系统和测试软件系统完成摩擦磨损数据的实时动态测试,从根本上改变了传统摩擦磨损试验机的缺点。通过对聚四氟乙烯材料的摩擦磨损性能进行实验,证明该试验机性能稳定,测试系统准确可靠。

关键词：摩擦磨损试验机往复式计算机控制系统

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黑龙江广播电视台文件安全传输设计与规划

电视技术 2015年第18期39卷 68-71页

作者：侯云峰黑龙江广播电视台黑龙江哈尔滨150090

介绍了黑龙江广播电视台数字化、网络化之后,对文件安全传输系统建设的各个需求点的梳理分析,以及建设安全传输系统过程中在安全性、可靠性方面的详细设计情况,并对此系统未来在业务范围发生变化后的扩展性应用做了具体规划。

关键词：安全效率 PCI—E私有协议

引燃模式对自蔓延高温合成Al-Ti-C中间合金的影响

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特种铸造及有色合金 2007年第5期27卷 396-398页

作者：侯运丰夏天东赵文军兰州理工大学有色金属新材料省部共建国家重点实验室

利用Al、Ti、C粉末原料,采用自蔓延高温合成技术(SHS)合成了Al-Ti-C中间合金晶粒细化剂。借助X射线衍射(XRD)、扫描电子显微镜(SEM)研究了引燃模式对自蔓延高温合成反应过程及合成产物组织形态的影响。结果表明:两种引燃模式下自蔓延高... 详细信息

利用Al、Ti、C粉末原料,采用自蔓延高温合成技术(SHS)合成了Al-Ti-C中间合金晶粒细化剂。借助X射线衍射(XRD)、扫描电子显微镜(SEM)研究了引燃模式对自蔓延高温合成反应过程及合成产物组织形态的影响。结果表明:两种引燃模式下自蔓延高温合成的Al-Ti-C中间合金由Al、Al3Ti和TiC组成,引燃模式对Al-Ti-C的组织形貌产生重要影响,自蔓延模式下燃烧温度低,合成产物中的第二相粒子细小分散,而热爆模式下燃烧温度高,Al3Ti、TiC长大聚集,影响其晶粒细化性能。

关键词：引燃模式白蔓延高温合成 Al-Ti—C中间合金微观组织

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低速冲击载荷下的风电叶片刚度退化规律

太阳能学报 2022年第1期43卷 132-139页

作者：白学宗安宗文侯运丰马强兰州理工大学机电工程学院兰州730050

该文主要研究低速冲击载荷下叶片的刚度退化规律。首先用相邻2个时段风速的线性增量来定义风速突变量并获得低速冲击载荷,然后通过实验获得低速冲击载荷下的损伤规律,最后基于实测风速对疲劳试验结果进行修正,并对服役1年内的叶片刚度... 详细信息

该文主要研究低速冲击载荷下叶片的刚度退化规律。首先用相邻2个时段风速的线性增量来定义风速突变量并获得低速冲击载荷,然后通过实验获得低速冲击载荷下的损伤规律,最后基于实测风速对疲劳试验结果进行修正,并对服役1年内的叶片刚度退化量进行分析并与实测记录进行对比。结果表明:考虑低速冲击损伤时,疲劳试验结果更准确且在役叶片刚度退化分析结果更接近实测值,这有助于合理评估叶片疲劳性能和准确分析在役叶片刚度退化量。

关键词：风电叶片疲劳试验刚度退化规律低速冲击载荷风速突变

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一种多模式全向移动机器人攀爬楼梯的步态

机器人 2022年第4期44卷 453-462页

作者：陈程冷洁李清都侯运锋吕涛上海理工大学光电信息与计算机工程学院上海200093 上海理工大学机器智能研究院上海200093

针对移动机器人在户外运动中所遇到的台阶、楼梯等复杂地形,设计了一种可攀爬楼梯的多模式全向移动机器人。通过切换运动模态,该机器人既能像传统移动机器人一样快速移动,又具备了足式机器人的越障能力。首先,分析并构建了多模式全向移... 详细信息

针对移动机器人在户外运动中所遇到的台阶、楼梯等复杂地形,设计了一种可攀爬楼梯的多模式全向移动机器人。通过切换运动模态,该机器人既能像传统移动机器人一样快速移动,又具备了足式机器人的越障能力。首先,分析并构建了多模式全向移动机器人的运动学模型;其次,研究了该机器人越障能力和质心位置之间的关系并计算了该机器人可以翻越台阶的最大高度。最后,提出了一种攀爬楼梯算法。实验结果表明,设计的越障方法能够使多模式全向移动机器人成功并稳定地翻越台阶。最大台阶翻越高度为20.94 cm,最大可攀爬坡度为35°,最小转向半径为0 cm。

关键词：多模式越障能力多步态越障运动学模型步态分析

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风电叶片刚度检测值和退化速率的温度效应

太阳能学报 2021年第12期42卷 245-252页

作者：白学宗安宗文侯运丰马军霞兰州理工大学机电工程学院兰州730050

为探究环境温度对刚度检测值和退化速率的影响规律,以65 kW叶片为研究对象,通过不同温度下的疲劳试验获得刚度退化曲线,发现温度对叶片各截面刚度影响程度略有不同但非常接近;通过对比恒温、常温和风电场实测温度下的刚度退化量,发现考... 详细信息

为探究环境温度对刚度检测值和退化速率的影响规律,以65 kW叶片为研究对象,通过不同温度下的疲劳试验获得刚度退化曲线,发现温度对叶片各截面刚度影响程度略有不同但非常接近;通过对比恒温、常温和风电场实测温度下的刚度退化量,发现考虑温度影响可使疲劳试验叶片和在役叶片的刚度退化分析结果更准确。

关键词：风电叶片刚度检测值刚度退化速率环境温度疲劳试验