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基于动力源分类的无人机起飞方式综述

兵器装备工程学报 2024年第1期45卷 148-158页

作者：郑济沅周亢北京理工大学机电学院北京100081

无人机的起飞方式在作战中是个关键因素,决定了无人机作战的灵活性、机动性和高效性等。随着科技的发展,无人机的起飞方式已由最初的滑跑起飞更新换代至多种多样。对无人机起飞方式进行了研究,根据动力源不同将无人机起飞方式分为势能... 详细信息

无人机的起飞方式在作战中是个关键因素,决定了无人机作战的灵活性、机动性和高效性等。随着科技的发展,无人机的起飞方式已由最初的滑跑起飞更新换代至多种多样。对无人机起飞方式进行了研究,根据动力源不同将无人机起飞方式分为势能膨胀力作为动力源起飞、电磁力作为动力源起飞、气体反冲力作为动力源起飞和人力作为动力源起飞4大类。对每种无人机起飞方式的工作原理和优缺点进行了详细阐释并列举出了相应的无人机型号,对无人机起飞技术的发展趋势进行了展望。

关键词：无人机动力源起飞装置弹射垂直起飞

Artificial Intelligence for Metaverse:A Framework

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CAAI Artificial Intelligence Research 2022年第1期1卷 54-67页

作者： Yuchen Guo Tao Yu Jiamin Wu Yuwang Wang Sen Wan jiyuan zheng Lu Fang Qionghai Dai Beijing National Research Center for Information Science and Technology Tsinghua UniversityBeijing 100084China Department of Automation Tsinghua UniversityBeijing 100084China Department of Electronic Engineering Tsinghua UniversityBeijing 100084China

The metaverse is attracting considerable attention recently.It aims to build a virtual environment that people can interact with the world and cooperate with each other.In this survey paper,we re-introduce metaverse in a new framework based on a broad range of technologies,including perception which enables us to precisely capture the characteristics of the real world,computation which supports the large computation requirement over large-scale data,reconstruction which builds the virtual world from the real one,cooperation which facilitates long-distance communication and teamwork between users,and interaction which bridges users and the virtual world.Despite its popularity,the fundamental techniques in this framework are still immature.Innovating new techniques to facilitate the applications of metaverse is necessary.In recent years,artificial intelligence(AI),especially deep learning,has shown promising results for empowering various areas,from science to industry.It is reasonable to imagine how we can combine AI with the framework in order to promote the development of metaverse.In this survey,we present the recent achievement by AI for metaverse in the proposed framework,including perception,computation,reconstruction,cooperation,and interaction.We also discuss some future works that AI can contribute to metaverse.

关键词： artificial intelligence metaverse perception computation reconstruction cooperation interaction

膜诱导技术结合Ca(OH)_(2)-PMMA治疗节段性骨缺损的研究进展

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海南医学院学报 2024年第11期30卷 868-872页

作者：郑继远梁劭行梁泽隆彭磊海南医学院第一附属医院海南海口570102 海南医学院海南海口571199 山东大学附属威海市立医院山东威海264200

节段性骨缺损是一种负担较大、治疗具有挑战性的疾病,其病因包括创伤、感染、肿瘤等。目前骨缺损的重建方法主要有血管化骨移植、骨搬运以及膜诱导技术(Masquelet技术)等。而血管化自体骨移植虽然被认为是重建大尺寸骨缺损的金标准,但... 详细信息

节段性骨缺损是一种负担较大、治疗具有挑战性的疾病,其病因包括创伤、感染、肿瘤等。目前骨缺损的重建方法主要有血管化骨移植、骨搬运以及膜诱导技术(Masquelet技术)等。而血管化自体骨移植虽然被认为是重建大尺寸骨缺损的金标准,但其具有专业性要求高、治疗周期长、过程复杂等局限性,而膜诱导技术因简单、高效及可靠等特性被广泛应用于骨缺损的治疗。膜诱导技术通过两次手术获取具有生物效应的诱导膜,促进缺损部位新骨的生长和愈合,是目前国内外公认的治疗节段性骨缺损的有效方法。本文将概述骨缺损的现状,介绍临界尺寸骨缺损的概念,探讨及思考在膜诱导技术中结合聚甲基丙烯酸甲酯氢氧化钙混合物[Ca(OH)_(2)-PMMA]新型材料应用于节段性骨缺损治疗的临床意义。

关键词：骨缺损临界尺寸膜诱导技术 Ca(OH)_(2)-PMMA

基于OBE理念+全过程考核的高校物流学教学改革研究

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对外经贸 2024年第3期 140-143,148页

作者：郑继媛王小波南京晓庄学院商学院江苏南京211171

基于以学生为中心,以产出为导向,持续改进等现代高等教育的重要指导思想,引入OBE教学理念和全过程考核评价以优化物流管理专业核心课程物流学的教学设计,搭建OBE+全过程考核的物流学课程设计思路,同时将全过程考核融入到各教学环节中,... 详细信息

基于以学生为中心,以产出为导向,持续改进等现代高等教育的重要指导思想,引入OBE教学理念和全过程考核评价以优化物流管理专业核心课程物流学的教学设计,搭建OBE+全过程考核的物流学课程设计思路,同时将全过程考核融入到各教学环节中,着重从培养目标、产出导向及效果评价等多视角提出对应的解决方案与对策,在凸显学校过程考察全面性的同时,实现学生参与学习主动性,达到师生有益互动的教学效果,较好地体现了教学设计的时效性与科学性,以此实现物流人才理论与实践能力的培养,更好地满足社会对物流人才的需求。

关键词：物流学 OBE理念全过程考核教学改革

Advances in neuromorphic computing:Expanding horizons for AI development through novel artificial neurons and in-sensor computing

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Chinese Physics B 2024年第3期33卷 1-23页

作者：杨玉波赵吉哲刘胤洁华夏扬王天睿郑纪元郝智彪熊兵孙长征韩彦军王健李洪涛汪莱罗毅 Department of Electronic Engineering Tsinghua UniversityBeijing 100084China Beijing National Research Center for Information Science and Technology Tsinghua UniversityBeijing 100084China

AI development has brought great success to upgrading the information age.At the same time,the large-scale artificial neural network for building AI systems is thirsty for computing power,which is barely satisfied by the conventional computing hardware.In the post-Moore era,the increase in computing power brought about by the size reduction of CMOS in very large-scale integrated circuits(VLSIC)is challenging to meet the growing demand for AI computing power.To address the issue,technical approaches like neuromorphic computing attract great attention because of their feature of breaking Von-Neumann architecture,and dealing with AI algorithms much more parallelly and energy efficiently.Inspired by the human neural network architecture,neuromorphic computing hardware is brought to life based on novel artificial neurons constructed by new materials or devices.Although it is relatively difficult to deploy a training process in the neuromorphic architecture like spiking neural network(SNN),the development in this field has incubated promising technologies like in-sensor computing,which brings new opportunities for multidisciplinary research,including the field of optoelectronic materials and devices,artificial neural networks,and microelectronics integration technology.The vision chips based on the architectures could reduce unnecessary data transfer and realize fast and energy-efficient visual cognitive processing.This paper reviews firstly the architectures and algorithms of SNN,and artificial neuron devices supporting neuromorphic computing,then the recent progress of in-sensor computing vision chips,which all will promote the development of AI.

关键词： neuromorphic computing spiking neural network(SNN) in-sensor computing artificial intelligence

Temperature dependence of the ionization coefficients of InAlAs and AlGaAs digital alloys

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Photonics Research 2018年第8期6卷 794-799页

作者： YUAN YUAN jiyuan zheng YAOHUA TAN YIWEI PENG ANN-KATHRYN ROCKWELL SETH R. BANK AVIK GHOSH JOE C. CAMPBELL Electrical and Computer Engineering Department University of Virginia 351 McCormick Rd. Charlottesville Virginia 22904 USA Electrical and Computer Engineering Department University of Texas at Austin 1616 Guadalupe St. Austin Texas 78758 USA

Digital alloy In_(0.52)Al_(0.48) As avalanche photodiodes exhibit lower excess noise than those fabricated from random alloys. This paper compares the temperature dependence, from 203 to 323 K, of the impact ionization characteristics of In_(0.52)Al_(0.48) As and Al_(0.74)Ga_(0.26) As digital and random alloys. These results provide insight into the low excess noise exhibited by some digital alloy materials, and these materials can even obtain lower excess noise at low temperature.

关键词：超额噪声通讯技术发展现状技术创新

高热稳定CaGdAlO_(4)∶Er^(3+)/Yb^(3+)荧光粉的上转换发光及其温度传感性能

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人工晶体学报 2024年第4期53卷 649-655页

作者：李玉强杨健王帅郑基源赵炎周恒为刘玉学伊犁师范大学物理科学与技术学院新疆凝聚态相变与微结构实验室伊宁835000 东北师范大学物理学院长春130024

获得具有良好热稳定性和发光性能的非接触式光学温度传感材料是目前的研究热点之一,本工作通过高温固相法制备了Er^(3+)/Yb^(3+)共掺CaGdAlO_(4)∶Er_(x),Yb_(0.10)(x=0.006、0.008、0.010、0.012、0.014)荧光粉,尺寸大小分布在0.6~4.2... 详细信息

获得具有良好热稳定性和发光性能的非接触式光学温度传感材料是目前的研究热点之一,本工作通过高温固相法制备了Er^(3+)/Yb^(3+)共掺CaGdAlO_(4)∶Er_(x),Yb_(0.10)(x=0.006、0.008、0.010、0.012、0.014)荧光粉,尺寸大小分布在0.6~4.2μm。在980 nm激光激发下,该荧光粉在500~700 nm发射谱由两个发射带组成,528和550 nm处两个较强的绿光发射带,归属于Er^(3+)的^(2)H_(11/2)→^(4)I_(15/2)、^(4)S_(3/2)→^(4)I_(15/2)能级跃迁,663 nm处较弱的红光发射带,归属于Er^(3+)的^(4)F_(9/2)→^(4)I_(15/2)能级跃迁。上转换发光强度最大组分为CaGdAlO_(4)∶Er_(0.010),Yb_(0.10)。300~573 K变温发射谱表明,基于荧光强度比FIR_(528/550)参数,温度传感绝对灵敏度S_(A)从44.4×10^(-4) K^(-1)(@300 K)先增大到52.0×10^(-4) K^(-1)(@445 K)随后减小到49.0×10^(-4) K^(-1)(@573 K)。相对灵敏度S_(R)则从0.95×10^(-2) K^(-1)(@300 K)单调减小到0.27×10^(-2) K^(-1)(@573 K)。冷热循环实验表明该材料的热重复性优于98%。结果表明,CaGdAlO_(4)∶Er_(0.010),Yb_(0.10)荧光粉在光学温度传感领域具有潜在的应用前景。

关键词：稀土离子荧光粉 Er^(3+)/Yb^(3+)共掺上转换荧光强度比温度传感高温固相法

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PVME/PS共混体系相分离行为的液态簧振动力学谱的研究

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广东化工 2024年第12期51卷 14-16,40页

作者：云芳杨世殷郑基源卫来伊犁师范大学新疆凝聚态相变与微结构重点实验室新疆伊宁835000

本研究利用自制的液态簧振动力学谱(RMS-L)技术研究了聚甲基乙烯基醚/聚苯乙烯(PVME/PS)二元共混物的玻璃化转变及相分离动力学过程,并选取了不同质量比样品,对每个样品从低温至高温的升降温循环测量。结果表明:(1)RMS-L方法可以灵敏地... 详细信息

本研究利用自制的液态簧振动力学谱(RMS-L)技术研究了聚甲基乙烯基醚/聚苯乙烯(PVME/PS)二元共混物的玻璃化转变及相分离动力学过程,并选取了不同质量比样品,对每个样品从低温至高温的升降温循环测量。结果表明:(1)RMS-L方法可以灵敏地对不同混合比例的高分子共混体系玻璃化转变和相分离过程进行实时检测;(2)以纯PVME和纯PS玻璃化转变温度为基础,从11组待测样品中挑选组分比为5∶5的样品进行了分析,发现样品的玻璃化转变温度随着组分的变化而变化。而当温度达到某一点时样品会发生相分离。(3)当样品经过第二次升温时发现共混体系的玻璃化转变温度及相分离温度点均有变化,这说明在经过一次升温后样品已经被分为新的相;(4)结合不同比例样品的力学谱结果,发现共混体系相分离行为对时间和温度具有一定的依赖性,并且通过这种规律分析了高分子共混物相分离的动力学行为。

关键词：聚合物玻璃化转变相分离液态簧振动力学谱 RMS-L方法

Full band Monte Carlo simulation of AlInAsSb digital alloys

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InfoMat 2020年第6期2卷 1236-1240页

作者： jiyuan zheng Sheikh Z.Ahmed Yuan Yuan Andrew Jones Yaohua Tan Ann K.Rockwell Stephen D.March Seth R.Bank Avik W.Ghosh Joe C.Campbell Electrical and Computer Engineering Department University of VirginiaCharlottesvilleVirginia Department of Physics University of VirginiaCharlottesvilleVirginia Synopsys Inc SunnyvaleCalifornia Microelectronics Research Center University of TexasAustinTexas

Avalanche photodiodes fabricated from AlInAsSb grown as a digital alloy exhibit low excess noise.In this article,we investigate the band structurerelated mechanisms that influence impact ionization.Band-structures calculated using an empirical tight-binding method and Monte Carlo simulations reveal that the mini-gaps in the conduction band do not inhibit electron impact ionization.Good agreement between the full band Monte Carlo simulations and measured noise characteristics is demonstrated.

关键词： AlInAsSb avalanche photodiode digital alloy first principle study