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Parametric study on contact sensors for MASW measurement-based interfacial debonding detection for SCCS

Earthquake Engineering and Engineering Vibration 2024年第2期23卷 331-344页

作者： Chen Hongbing pang xin Gan Shiyu Li Yuanyuan Gokarna Chalise Nie xin Research Institute of Urbanization and Urban Safety School of Civil and Resource EngineeringUniversity of Science and Technology BeijingBeijing 100083China Department of Civil Engineering Tsinghua UniversityBeijing 100084China Faculty of Infrastructure Engineering Dalian University of TechnologyDalian 116081China

Steel-concrete composite structures(SCCS)have been widely used as primary load-bearing components in large-scale civil *** the basis of the co-working ability of steel plate and concrete,the bonding status plays an essential role in guaranteeing the structural performance of ***,efficient non-destructive testing(NDT)on interfacial debondings in SCCS has become a prominent research ***-channel analysis of surface waves(MASW)has been validated as an effective NDT technique for interfacial debonding detection for ***,the feasibility of MASW must be validated using experimental *** study establishes a high-frequency data synchronous acquisition system with 32 channels to perform comparative verification experiments in ***,the current sensing approaches for high-frequency vibration and stress waves are ***,three types of contact sensors,namely,piezoelectric lead-zirconate-titanate(PZT)patches,accelerometers,and ultrasonic transducers,are selected for MASW ***,the selection and optimization of the force hammer head are *** experiments are carried out for the optimal selection of ultrasonic transducers,PZT patches,and accelerometers for MASW *** addition,the influence of different pasting methods on the output signal of the sensor array is *** results indicate that optimized PZT patches,acceleration sensors,and ultrasonic transducers can provide efficient data acquisition for MASW-based non-destructive *** research findings in this study lay a solid foundation for analyzing the recognition accuracy of contact MASW measurement using different sensor arrays.

关键词： steel-concrete composite structures(SCCS) interface debonding detection multi-channel analysis of surface waves(MASW) sensor selection comparative experimental study

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Reversible data hiding in encrypted images based on additive secret sharing and additive joint coding using an intelligent predictor

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Frontiers of Information Technology & Electronic Engineering 2024年第9期25卷 1250-1265页

作者： Ziyi ZHOU Chengyue WANG Kexun YAN Hui SHI xin pang School of Computer Science and Artificial Intelligence Liaoning Normal UniversityDalian I16029China

Reversible data hiding in encrypted images(RDHEI)is essential for safeguarding sensitive information within the encrypted *** this study,we propose an intelligent pixel predictor based on a residual group block and a spatial attention module,showing superior pixel prediction performance compared to existing ***,we introduce an adaptive joint coding method that leverages bit-plane characteristics and intra-block pixel correlations to maximize embedding space,outperforming single coding *** image owner employs the presented intelligent predictor to forecast the original image,followed by encryption through additive secret sharing before conveying the encrypted image to data ***,data hiders encrypt secret data and embed them within the encrypted image before transmitting the image to the *** receiver can extract secret data and recover the original image losslessly,with the processes of data extraction and image recovery being *** innovative approach combines an intelligent predictor with additive secret sharing,achieving reversible data embedding and extraction while ensuring security and lossless *** results demonstrate that the predictor performs well and has a substantial embedding *** the Lena image,the number of prediction errors within the range of[-5,5]is as high as 242500 and our predictor achieves an embedding capacity of 4.39 bpp.

关键词： Reversible data hiding in encrypted images(RDHEI) Additive secret sharing Adaptive joint coding Intelligent predictor

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Investigation of gravity influence on EOR and CO_(2) geological storage based on pore-scale simulation

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Petroleum Science 2024年第2期21卷 987-1001页

作者： Yong-Mao Hao Gui-Cheng Wu Zong-Fa Li Zhong-Hui Wu Yong-Quan Sun Ran Liu xing-xing Li Bo-xin pang Nan Li Key Laboratory of Unconventional Oil&Gas Development(China University of Petroleum(East China)) Ministry of EducationQingdao266580ShandongChina School of Petroleum Engineering China University of Petroleum(East China)Qingdao266580ShandongChina School of Petroleum Engineering Yangtze UniversityWuhan430100HubeiChina Dongsheng Jinggong Petroleum Development Group Co. LtdShengli Oilfield CompanySINOPECDongying257001ShandongChina

Gravity assistance is a critical factor influencing CO_(2)-Oil mixing and miscible flow during EOR and CO_(2)geological *** on the Navier-Stokes equation,component mass conservation equation,and fluid property-composition relationship,a mathematical model for pore-scale CO_(2) injection in oilsaturated porous media was developed in this *** model can reflect the effects of gravity assistance,component diffusion,fluid density variation,and velocity change on EOR and CO_(2) *** nonhomogeneous porous media,the gravity influence and large density difference help to minimize the velocity difference between the main flow path and the surrounding area,thus improving the oil recovery and CO_(2) *** CO_(2) injection angles and oil-CO_(2) density differences can increase the oil recovery by 22.6% and 4.2%,respectively,and increase CO_(2) storage by 37.9% and 4.7%,*** diffusion facilitates the transportation of the oil components from the low-velocity region to the main flow path,thereby reducing the oil/CO_(2) concentration difference within the porous *** diffusion can increase oil recovery and CO_(2) storage by 5.7% and 6.9%,*** addition,combined with the component diffusion,a low CO_(2) injection rate creates a more uniform spatial distribution of the oil/CO_(2) component,resulting in increases of 9.5% oil recovery and 15.7% CO_(2) storage,*** study provides theoretical support for improving the geological CO_(2) storage and EOR processes.

关键词： Gravity Flow simulation CO_(2)-oil mixing Enhanced oil recovery(EOR) Geological storage

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新型现代国家:推进中国式现代化发展的关键因素

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社会科学战线 2024年第8期 11-18页

作者：彭斌庞欣吉林大学行政学院吉林长春130012

现代国家构建既是现代化的根本保障,同时也是推动现代化发展的关键因素。欧洲现代化发展的历史表明,现代国家不是现代化过程中被动的、消极的因素,而是作为一种积极的、主动的变量发挥作用。中国共产党动员、带领全国人民所构建的现代... 详细信息

现代国家构建既是现代化的根本保障,同时也是推动现代化发展的关键因素。欧洲现代化发展的历史表明,现代国家不是现代化过程中被动的、消极的因素,而是作为一种积极的、主动的变量发挥作用。中国共产党动员、带领全国人民所构建的现代国家是一种新型现代国家,它确立了政党领导体制和人民至上的价值理念,以马克思主义作为根本指导思想,依法治国,构建科学合理的国家权力结构,实行民主集中制的国家权力运行机制。中国新型现代国家构建既是中国式现代化的核心组成部分,也是推进中国式现代化发展的关键因素,它使中国拥有了强大的领导力、组织力和行动力,能够引领现代化发展的正确方向,为现代化建设提供根本动力、思想原则和认识方法,充分发挥有效市场和有为政府的作用,通过持续实施国家规划解决现代化进程中的重大问题,保障和推动中国的现代化事业行稳致远。

关键词：现代国家构建新型现代国家中国式现代国家中国式现代化

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目标型政党:一种关于新型政党的理论分析与经验阐释

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云南社会科学 2024年第1期 76-84页

作者：彭斌庞欣吉林大学行政学院暨社会公正与政府治理研究中心吉林大学行政学院

目标型政党是从马克思主义政党理论中提炼和发展出来的新型政党形态和理论话语。它是一种以马克思主义为指导,以实现人类解放为最终目标,通过构建多层次目标体系,确立多维度使命契约,实施中长期发展计划,接续推动目标实现的政党类型。... 详细信息

目标型政党是从马克思主义政党理论中提炼和发展出来的新型政党形态和理论话语。它是一种以马克思主义为指导,以实现人类解放为最终目标,通过构建多层次目标体系,确立多维度使命契约,实施中长期发展计划,接续推动目标实现的政党类型。作为一种目标型政党,中国共产党始终以目标引领国家发展与治理,其提出的奋斗目标具有人民性、系统性、渐进性、问题导向性和可实现性等内在特征。在革命、建设和改革的不同历史时期,中国共产党坚持以自我革命引领社会革命,不断推进政党领导体制和国家制度体系建设,持续构建和完善政府、市场和社会协同互动的社会主义国家治理体系,有目的、有计划、有步骤地推进中国式现代化发展,逐步实现多层次多维度多方面的目标任务。

关键词：目标型政党目标引领自我革命使命驱动规划行动

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奇异值分解下在线鲁棒正则化随机网络

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控制理论与应用 2024年第3期41卷 407-415页

作者：于洋邓瑞余刚庞新富沈阳航空航天大学自动化学院辽宁沈阳110000 矿冶过程自动控制技术国家重点实验室北京100160 矿冶自动控制技术北京市重点实验室北京100160 沈阳工程学院自动化学院辽宁沈阳110000

在线鲁棒随机权神经网络(OR-RVFLN)具有较好的逼近性、较快的收敛速度、较高的鲁棒性能以及较小的存储空间.但是,OR-RVFLN算法计算过程中会产生矩阵的不适定问题,使得隐含层输出矩阵的精度较低.针对这个问题,本文提出了奇异值分解下在... 详细信息

在线鲁棒随机权神经网络(OR-RVFLN)具有较好的逼近性、较快的收敛速度、较高的鲁棒性能以及较小的存储空间.但是,OR-RVFLN算法计算过程中会产生矩阵的不适定问题,使得隐含层输出矩阵的精度较低.针对这个问题,本文提出了奇异值分解下在线鲁棒正则化随机网络(SVD-OR-RRVFLN).该算法在OR-RVFLN算法的基础上,将正则化项引入到权值的估计中,并且对隐含层输出矩阵进行奇异值分解;同时采用核密度估计(KDE)法,对整个SVD-OR-RRVFLN网络的权值矩阵进行更新,并分析了所提算法的必要性和收敛性.最后,将所提的方法应用于Benchmark数据集和磨矿粒度的指标预测中,实验结果证实了该算法不仅可以有效地提高模型的预测精度和鲁棒性能,而且具有更快的训练速度.

关键词：随机权神经网络正则化奇异值分解磨矿过程磨矿粒度

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Genetically modified pigs with CD163 point mutation are resistant to HP-PRRSV infection

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Zoological Research 2024年第4期45卷 833-844页

作者： Ying Liu Lin Yang Hong-Yong Xiang Ming Niu Jia-Cheng Deng Xue-Yuan Li Wen-Jie Hao Hong-Sheng Ou-Yang Tong-Yu Liu Xiao-Chun Tang Da-xin pang Hong-Ming Yuan State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases Animal Genome Editing Technology Innovation CenterCollege of Animal SciencesJilin UniversityChangchunJilin 130062China Chifeng Best Genetics Technology Co. Ltd.ChifengNei Mongol 024000China Chongqing Jitang Biotechnology Research Institute Co. Ltd.Chongqing 400015China

Porcine reproductive and respiratory syndrome(PRRS)is a globally prevalent contagious disease caused by the positive-strand RNA PRRS virus(PRRSV),resulting in substantial economic losses in the swine *** the CD163 SRCR5 domain,either through deletion or substitution,can eff1ectively confer resistance to PRRSV infection in ***,large fragment modifications in pigs inevitably raise concerns about potential adverse effects on growth *** the impact of genetic modifications on normal physiological functions is a promising direction for developing PRRSV-resistant *** the current study,we identified a specific functional amino acid in CD163 that influences PRRSV *** infection experiments conducted on Marc145 and PK-15CD163 cells illustrated that the mE535G or corresponding pE529G mutations markedly inhibited highly pathogenic PRRSV(HP-PRRSV)proliferation by preventing viral binding and ***,individual viral challenge tests revealed that pigs with the E529G mutation had viral loads two orders of magnitude lower than wild-type(WT)pigs,confirming effective resistance to *** of the physiological indicators and scavenger function of CD163 verified no significant differences between the WT and E529G *** findings suggest that E529G pigs can be used for breeding PRRSV-resistant pigs,providing novel insights into controlling future PRRSV outbreaks.

关键词： PRRSV CD163 Point mutation E529G Pigs

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粒子群算法优化支持向量回归的民机客舱座椅舒适度评价预测

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机械科学与技术 2024年第9期43卷 1624-1630页

作者：逄欣苟秉宸西北工业大学机电学院西安710072

为建立民机客舱座椅舒适度主客观评价之间复杂非线性的评价预测模型,同时提高模型的预测精度,本文将支持向量回归(Support vector regression,SVR)中的惩罚参数C、通道控制参数ε以及核函数参数σ作为优化目标,利用粒子群算法(Particle ... 详细信息

为建立民机客舱座椅舒适度主客观评价之间复杂非线性的评价预测模型,同时提高模型的预测精度,本文将支持向量回归(Support vector regression,SVR)中的惩罚参数C、通道控制参数ε以及核函数参数σ作为优化目标,利用粒子群算法(Particle swarm optimization,PSO)寻找全局最优参数,建立PSO-SVR人-民机客舱座椅舒适度评价预测模型,并对预测结果进行对比分析。分析结果表明:与BP神经网络(Back propagation,BP)模型相比,支持向量回归模型具有良好的鲁棒性;与SVR模型相比,PSO-SVR模型预测精度更高,误差波动小,预测结果均方误差(MSE)降低了85.95%,决定系数(R2)提高了15.42%。因此粒子群算法可以有效提高支持向量回归模型的预测精度和泛化能力。

关键词：民机客舱座椅支持向量机回归粒子群算法舒适度评价预测

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