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基于随机Petri网的民机审定试飞实施流程建模与分析

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计算机科学 2024年第S1期51卷 1063-1068页

作者：邓汉年周杰杨波易力力傅广周鹏重庆大学机械传动国家重点实验室重庆400044 贵州大学机械工程学院贵阳550025

审定试飞是民用飞机获取型号合格证书的重要活动,具有高成本、高风险的特点。研究审定试飞的实施流程有利于推动试飞工作有序进行,进而缩短试飞周期及降低试飞成本。目前对试飞流程的研究局限于流程描述与定性分析,缺乏对试飞流程的形... 详细信息

审定试飞是民用飞机获取型号合格证书的重要活动,具有高成本、高风险的特点。研究审定试飞的实施流程有利于推动试飞工作有序进行,进而缩短试飞周期及降低试飞成本。目前对试飞流程的研究局限于流程描述与定性分析,缺乏对试飞流程的形式化建模与性能分析,无法检验流程中的关键环节。为解决上述问题,文中研究了审定试飞3个阶段的实施流程,并利用随机Petri网构建了该流程的仿真模型;通过建立与该模型同构的马尔可夫链,对实施流程进行了性能分析,识别出了流程中耗时较多的关键环节,进而分析了关键环节的实施速率对流程平均运行时间的影响。最后通过一个案例验证了模型与方法的可行性。结果表明,制造符合性检查环节与试飞数据处理环节是流程中耗时较多的关键环节,应将其作为流程优化的重点,同时提升上述两个关键环节的实施速率相比提高单环节速率,成本更低且流程运行效率提升幅度更大。

关键词：审定试飞实施流程随机Petri网马尔可夫链性能分析关键环节

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机械工程类国家重点实验室安全管理实践

实验室科学 2024年第4期27卷 200-203,209页

作者：易力力陶桂宝张仁华重庆大学机械传动国家重点实验室重庆400030

由于机械工程类学科科学研究的多样性和科学实验的复杂性,实验安全在机械工程类国家重点实验室开展教学和科研活动中尤为重要。针对机械工程学科特点分析机械工程类国家重点实验室潜在的安全隐患,结合机械传动国家重点实验室安全管理过... 详细信息

由于机械工程类学科科学研究的多样性和科学实验的复杂性,实验安全在机械工程类国家重点实验室开展教学和科研活动中尤为重要。针对机械工程学科特点分析机械工程类国家重点实验室潜在的安全隐患,结合机械传动国家重点实验室安全管理过程中的实践经验,介绍了实验室安全管理的措施和实践经验,提出了机械工程类国家重点实验室安全管理方面的一些思路和方法,对加强机械工程类国家重点实验室安全管理工作具有较强的参考作用。

关键词：国家重点实验室机械工程实验室安全安全管理

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高速SPI接口在SIM卡上的应用设计

邮电设计技术 2024年第6期 47-50页

作者：王海涛衣莉莉孙阳阳刘觅联通华盛通信有限公司北京100032

通过对当前物联网的安全威胁进行深入分析,发现SIM卡安全方案在实际使用过程中存在的一些问题。鉴于此,结合安全元件(SE)的SPI接口优点,设计了SPI接口应用在SIM卡上的全新方案,详述了该方案的软硬件架构,最后阐述了该方案在实际应用中... 详细信息

通过对当前物联网的安全威胁进行深入分析,发现SIM卡安全方案在实际使用过程中存在的一些问题。鉴于此,结合安全元件(SE)的SPI接口优点,设计了SPI接口应用在SIM卡上的全新方案,详述了该方案的软硬件架构,最后阐述了该方案在实际应用中所具有的优势。

关键词： SPI SIM SE 物联网安全

The importance of data assimilation components for initial conditions and subsequent error growth

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Science China Earth Sciences 2024年第1期67卷 105-116页

作者： Zhongrui WANG Haohao SUN lili LEI Zhe-Min TAN yi ZHANG Key Laboratory of Mesoscale Severe Weather Ministry of Educationand School of Atmospheric SciencesNanjing UniversityNanjing 210023China Frontiers Science Center for Critical Earth Material Cycling Nanjing UniversityNanjing 210023China

Despite a specific data assimilation method,data assimilation(DA)in general can be decomposed into components of the prior information,observation forward operator that is given by the observation type,observation error covariances,and background error *** a classic Lorenz model,the influences of the DA components on the initial conditions(ICs)and subsequent forecasts are systematically investigated,which could provide a theoretical basis for the design of DA for different scales of *** forecast errors undergo three typical stages:a slow growth stage from 0 h to 5 d,a fast growth stage from 5 d to around 15 d with significantly different error growth rates for ensemble and deterministic forecasts,and a saturation stage after 15 *** strategies that provide more accurate ICs can improve the *** assimilation is superior to offline assimilation,and a flow-dependent background error covariance matrix(Pf)provides better analyses than a static background error covariance matrix(B)for instantaneous observations and frequent time-averaged observations;but the opposite is true for infrequent time-averaged observations,since cycling simulation cannot construct informative priors when the model lacks predictive skills and the flow-dependent Pf cannot effectively extract information from low-informative observations as the static *** observations contain more information than time-averaged observations,thus the former is preferred,especially for infrequent observing ***,ensemble forecasts have advantages over deterministic forecasts,and the advantages are enlarged with less informative observations and lower predictive-skill model priors.

关键词： Data assimilation Atmospheric predictability Background error covariances Ensemble forecasts

A high-entropy-designed cathode with V5+-V2+ multi-redox for high energy density sodium-ion batteries

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Journal of Energy Chemistry 2024年第10期97卷 429-437页

作者： Xiang Ding Xiaofen Yang yibing Yang Liangwei Liu yi Xiao lili Han College of Chemistry and Materials Science Fujian Normal University State Key Laboratory of Structural Chemistry Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences

Na3V2（PO4）3（NVP） is gifted with fast Na+conductive NASICON *** it still suffers from low electronic conductivity and inadequate energy ***,a high-entropy modification strategy is realized by doping V3+site with Ga3+/Cr3+/Al3+/Fe3+/In3+simultaneously(***3V2-x（GaCrAlFeIn）x（PO4）3;x=0,0.04,0.06,and 0.08) to stimulate the V5+■V2+reversible multi-electron *** configuration high-entropy can effectively suppress the structural collapse,enhance the redox reversibility in high working voltage（4.0 V）,and optimize the electronic induced *** in-situ X-ray powder diffraction and in-situ electrochemical impedance spectroscopy tests efficaciously confirm the robust structu ral recovery and far lower polarization throughout an entire charge-discharge cycle during 1.6-4.3 V,***,the density functional theory calculations clarify the stronger metallicity of high-entropy electrode than the bare that is derived from the more mobile free electrons surrounding the vicinity of Fermi *** grace of high-entropy design and multi-electron transfer reactions,the optimal Na3V1.7（GaCrAlFeIn）0.06（PO4）3can exhibit perfect cycling/rate performances(90.97%@5000 cycles@30 C;112 mA h g-1@10 C and 109 mA h g-1@30 C,2.0-4.3 V).Furthermore,it can supply ultra-high185 mA h g-1capacity with fa ntastic energy density(522 W h kg-1) in half-cells（1.4-4.3 V）,and competitive capacity(121 mA h g-1) as well as energy density(402 W h kg-1) in full-cells（1.6-4.1 V）,demonstrating enormous application potential for sodium-ion batteries.

关键词： High energy density High-entropy Na3V2(PO4)3 Sodium-ion batteries V5+⇋V2+ multi-redox

Phase equilibrium data prediction and process optimizationin butadiene extraction process

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Chinese Journal of Chemical Engineering 2024年第7期71卷 1-12页

作者： Baowei Niu Yanjie yi Yuwen Wei Fuzhen Zhang lili Wang Li Xia Xiaoyan Sun Shuguang Xiang Institute of Process System Engineering College of Chemical EngineeringQingdao University of Science and TechnologyQingdao 266042China

In response to the lack of reliable physical parameters in the process simulation of the butadiene extraction,a large amount of phase equilibrium data were collected in the context of the actual process of butadiene production by *** accuracy of five prediction methods,UNIFAC(UNIQUAC Functional-group Activity Coefficients),UNIFAC-LL,UNIFAC-LBY,UNIFAC-DMD and COSMO-RS,applied to the butadiene extraction process was verified using partial phase equilibrium *** results showed that the UNIFAC-DMD method had the highest accuracy in predicting phase equilibrium data for the missing ***-RS-predicted multiple systems showed good accuracy,and a large number of missing phase equilibrium data were estimated using the UNIFAC-DMD method and COSMO-RS *** predicted phase equilibrium data were checked for *** NRTL-RK(non-Random Two Liquid-Redlich-Kwong Equation of State)and UNIQUAC thermodynamic models were used to correlate the phase equilibrium *** device simulations were used to verify the accuracy of the thermodynamic model applied to the butadiene extraction *** simulation results showed that the average deviations of the simulated results using the correlated thermodynamic model from the actual values were less than 2%compared to that using the commercial simulation software,Aspen Plus and its *** average deviation was much smaller than that of the simulations using the Aspen Plus database(>10%),indicating that the obtained phase equilibrium data are highly accurate and *** best phase equilibrium data and thermodynamic model parameters for butadiene extraction are *** improves the accuracy and reliability of the design,optimization and control of the process,and provides a basis and guarantee for developing a more environmentally friendly and economical butadiene extraction process.

关键词： Butadiene extraction Phase equilibrium data Prediction methods Thermodynamic modeling Process simulation

Disruption of non-classically secreted protein(MoMtp)compromised conidiation,stress homeostasis,and pathogenesis of Magnaporthe oryzae

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Journal of Integrative Agriculture 2024年第8期23卷 2686-2702页

作者： Wajjiha Batool Justice Norvienyeku Wei yi Zonghua Wang Shihong Zhang lili Lin Key Laboratory for Extreme-Environmental Microbiology College of Plant ProtectionShenyang Agricultural UniversityShenyang 110866China Ministerial and Provincial Joint Innovation Center for Safety Production of Cross-Strait Crops College of Life ScienceFujian Agriculture and Forestry UniversityFuzhou 350002China Key Laboratory of Green Prevention and Control of Tropical Plant Diseases and Pests College of Plant ProtectionHainan UniversityHaikou 570288China

Blast disease,caused by the hemibiotrophic ascomycete fungus,Magnaporthe oryzae,is a significant threat to sustainable rice production *** have shown that the blast fungus secretes vast arrays of functionally diverse proteins into the host cell for a successful disease ***,the final destinations of these effector proteins inside the host cell and their role in advancing fungal pathogenesis remain a ***,we reported that a putative mitochondrial targeting non-classically secreted protein(MoMtp)positively regulates conidiogenesis and appressorium maturation in ***,MoM TP gene deletion mutant strains triggered a hypersensitive response when inoculated on rice leaves displaying that MoMtp is essential for the virulence of *** addition,cell wall and oxidative stress results indicated that MoMtp is likely involved in the maintenance of the structural integrity of the fungus *** study also demonstrates an upregulation in the expression pattern of the MoMTP gene at all stages of infection,indicating its possible regulatory role in host invasion and the infectious development of ***,Agrobacterium infiltration and sheath inoculation confirmed that MoMtpGFP protein is predominantly localized in the host mitochondria of tobacco leaf and rice *** together,we conclude that MoMtp protein likely promotes the normal conidiation and pathogenesis of *** and might have a role in disturbing the proper functioning of the host mitochondria during pathogen invasion.

关键词： plant–pathogen interactions effectors hypersensitive response pathogenesis mitochondria

A lateral-immobilization zebrafish microfluidic chip-based system for in vivo real-time evaluation of antithrombotic agents

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Chinese Chemical Letters 2024年第3期35卷 312-315页

作者： Lijuan He Hongxia Du yi Yang Zhihua Guan Jinjin Li Honglin Li Xudong Lin lili Zhu Shanghai Key Laboratory of New Drug Design School of PharmacyEast China University of Science&TechnologyShanghai 200237China Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument School of Biomedical EngineeringShenzhen Campus of Sun Yat-sen UniversityShenzhen 518000China Innovation Center for AI and Drug Discovery East China Normal UniversityShanghai 200062China

Thrombosis remains a major global health concern mainly characterized by high rates of morbidity and *** models serve as an indispensable tool to understand the underlying pathogenesis of thrombosis and assess the efficacy of novel antithrombotic ***,zebrafish has emerged as a valuable model organism for thrombosis ***,the traditional method of studying zebrafish thrombosis requires a laborious and time-consuming procedure,including anesthesia and manual immobilization of *** this study,based on hydrodynamic force,a lateral-immobilization zebrafish microfluidic chip(LIZMC)was designed to evaluate the cardiovascular system of multiple larvae within a single microscope field of ***,coupling with microscope imaging,real-time monitoring of the peripheral blood circulation in the tail of phenylhydrazine(PHZ)-induced zebrafish thrombosis was ***,the reliability of LIZMC for in vivo evaluation of antithrombotic agents in zebrafish was verified using ***,this novel LIZMC-based system can be used for in vivo zebrafish thrombosis studies and rapid screening of antithrombotic agents.

关键词： Microfluidic chip Zebrafish Thrombosis In vivo evaluation Real-time monitor

Recognition of grape leaf diseases using MobileNetV3 and deep transfer learning

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International Journal of Agricultural and Biological Engineering 2022年第3期15卷 184-194页

作者： Xiang yin Wenhua Li Zhen Li lili yi School of Agricultural Engineering and Food Science Shandong University of TechnologyZibo 255000ShandongChina School of Artificial Intelligence Nanjing University of Aeronautics and AstronauticsNanjing 210016China

Timely diagnosis and accurate identification of grape leaf diseases are decisive for controlling the spread of disease and ensuring the healthy development of the grape *** objective of this research was to propose a simple and efficient approach to improve grape leaf disease identification accuracy with limited computing resources and scale of training image dataset based on deep transfer learning and an improved MobileNetV3 model(GLD-DTL).A pre-training model was obtained by training MobileNetV3 using the ImageNet dataset to extract common features of the grape *** the last convolution layer of the pre-training model was modified by adding a batch normalization function.A dropout layer followed by a fully connected layer was used to improve the generalization ability of the pre-training model and realize a weight matrix to quantify the scores of six diseases,according to which the Softmax method was added as the top layer of the modified networks to give probability distribution of six ***,the grape leaf diseases dataset,which was constructed by processing the image with data augmentation and image annotation technologies,was input into the modified networks to retrain the networks to obtain the grape leaf diseases recognition(GLDR)*** showed that the proposed GLD-DTL approach had better performance than some recent *** identification accuracy was as high as 99.84%while the model size was as small as 30 MB.

关键词： grape leaf diseases real-time recognition deep transfer learning MobileNetV3