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机器联觉:通信与多模态感知的智能融合 被引量:1
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作者 程翔 张浩天 +7 位作者 李思江 黄子蔚 杨宗辉 高诗简 白露 张嘉楠 郑心湖 杨柳青 《模式识别与人工智能》 EI CSCD 北大核心 2023年第11期967-986,共20页
通信感知一体化技术局限于雷达感知与通信在频谱和硬件层面上的共享,不足以提升新兴应用场景中通信与感知的性能.在涵盖海量多模态感知和通信数据的场景中,通信感知一体化技术应向考虑多模态感知的方向进行范式演进,即通信与多模态感知... 通信感知一体化技术局限于雷达感知与通信在频谱和硬件层面上的共享,不足以提升新兴应用场景中通信与感知的性能.在涵盖海量多模态感知和通信数据的场景中,通信感知一体化技术应向考虑多模态感知的方向进行范式演进,即通信与多模态感知的智能融合.受人类联觉现象启发,文中系统化建立并论述通信和多模态感知智能融合的范式——机器联觉.首先,总结机器联觉3种典型工作模式:唤起模式、增强模式、合作模式,系统全面给出通信和多模态感知之间相互辅助增强的目的与方式.然后,介绍机器联觉研究的数据基础(通信与多模态感知智能融合仿真数据集)和理论基础(通信与多模态感知联觉机理).最后,综述当前机器联觉的研究现状,并展望未来的研究方向. 展开更多
关键词 机器联觉(SoM) 通信感知一体化 多模态感知 人工神经网络 机器联觉机理
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应用于毫米波车车通信的多模态感知辅助波束预测 被引量:1
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作者 文韦博 张浩天 +2 位作者 高诗简 程翔 杨柳青 《模式识别与人工智能》 EI CSCD 北大核心 2023年第11期997-1008,共12页
为了确保车联网通信的传输可靠性,大规模多天线技术的毫米波通信亟需精确的波束赋形.在高动态的车辆通信环境下,传统的波束对准方式会造成巨大的资源开销,难以在相干时间内建立可靠链路.因此,文中提出基于多模态感知信息辅助的波束预测... 为了确保车联网通信的传输可靠性,大规模多天线技术的毫米波通信亟需精确的波束赋形.在高动态的车辆通信环境下,传统的波束对准方式会造成巨大的资源开销,难以在相干时间内建立可靠链路.因此,文中提出基于多模态感知信息辅助的波束预测方案.该方案融合视觉和激光雷达点云两种非射频感知信息,利用深度神经网络进行多模态信息的特征提取,通过透视投影实现图像空间语义信息和物理空间位置信息的精准匹配和深度融合.通过协同感知坐标校正和车辆位置预测,将物理环境的特征精确映射到角域信道,从而实现实时准确的波束预测.在多模态感知仿真数据集(M3SC)上的测试结果表明,文中方案能实现较高的角度追踪精度和可达通信速率. 展开更多
关键词 车辆通信网络 车车通信 通信感知一体化 多模态感知 波束预测 深度学习
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Supramolecular Complexes of Ultrashort Cationic Lipopeptides with Cyclodextrins:Improved Selectivity and Therapeutic Potential
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作者 Chiara Bellini Unai Atxabal +7 位作者 Szilvia Bősze Orsolya Dobay Andrea Horváth Imola Cs.Szigyártó Tamás Beke-Somfai Jesús Jiménez-Barbero István Puskás Kata Horváti 《Aggregate》 2025年第4期167-187,共21页
In the last decade,the rise of antibiotic resistance has heightened interest in antimicrobial peptides and lipopeptides as promising alternatives to conventional antibiotics because of their lower propensity to develo... In the last decade,the rise of antibiotic resistance has heightened interest in antimicrobial peptides and lipopeptides as promising alternatives to conventional antibiotics because of their lower propensity to develop resistance.However,lipopeptides often show undesired cytotoxicity due to their non-selective membrane disruptive effect,and their limited aqueous solubility represents a matter of concern from a pharmaceutical point of view.This study demonstrates a panel of ultrashort cationic lipopeptides(USCLs)consisting of a tetrapeptide(L1),originated from buforin II,coupled with saturated fatty acids of different lengths.Our results highlight that the 16-carbon fatty acid lipopeptide(Pal-L1)exhibits relevant antibacterial activity against multiresistant Staphylococcus aureus strain.However,the formation of heterogenic aggregates in cell culturemedium and toxic effects on human cells were also observed.Pal-L1 formulation with the randomly methylatedα-cyclodextrin(RAMEA)and the sulfobutylether-β-cyclodextrin(SBECD)has resulted in a production of ultralow-sized molecular dispersion systems and reduced lipopeptide toxicity without compromising its antimicrobial activity.With titration 1H-NMR,2D NMR experiments,together with molecular dynamics simulations,we described the size,structure,stoichiometry,and dissociation constant of the supramolecular complexes.Interactions of neutral and negatively chargedmodel liposomes with Pal-L1 lipopeptide in the presence or absence of cyclodextrins serve an explanation for the membrane selectivity,and based on the results,we proposed a potential mechanism of action for the Pal-L1+cyclodextrin complexes on different biological membranes.Overall,our model characterization points out that cyclodextrin formulation improves the therapeutical applicability of lipopeptides. 展开更多
关键词 buforin CYCLODEXTRIN LIPOPEPTIDE MRSA RAMEA SBECD
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Characterization of mechanical properties for tubular materials based on hydraulic bulge test under axial feeding force 被引量:1
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作者 Bin Zhang Benny Endelt Karl Brian Nielsen 《Fundamental Research》 CAS CSCD 2023年第4期592-601,共10页
A T-shape tube hydraulic bulge test under axial feeding force is carried out to characterize the mechanical properties of EN AW 5049-O and 6060-O aluminium alloys.The punch displacement,T-branch height and axial compr... A T-shape tube hydraulic bulge test under axial feeding force is carried out to characterize the mechanical properties of EN AW 5049-O and 6060-O aluminium alloys.The punch displacement,T-branch height and axial compressive force are recorded online during the experiment.An intelligent inverse identification framework combining the finite element method and numerical optimization algorithm is developed to determine material parameters by fitting simulated results to the experimental data iteratively.The identified constitutive parameters using the inverse modelling technique are compared with those determined by the theoretical analysis and uniaxial tensile test.The comparison shows that the predicted bulge height and punch force based on the material parameters obtained by the three methods are different and the inverse strategy produces the smallest gap between numerical and experimental values.It is possible to conclude that the hydraulic bulge test can be applied to characterize the stress-strain curve of tubular materials at the large strain scope,and the automatic inverse framework is a more accurate post-processing procedure to identify material constitutive parameters compared with the classical analytical model. 展开更多
关键词 Intelligent optimization Tubular material Parameter identification Hydraulic bulge test Constitutive model
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