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现代化建设背景下大学生创新创业能力培养研究

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齐齐哈尔大学学报（哲学社会科学版） 2024年第5期 152-155页

作者：赵书锐聂永涛潍坊工程职业学院招生就业处山东青州262500

深化大学生创新创业教育改革是贯彻落实我国高质量教育改革的重要举措,要积极探索以提升创新人才素质为目标的人才培养新方式,将创新创业教育贯穿专业教育全过程。大学生创新创业能力的提升不仅有利于创新型国家战略目标的实现、加快供... 详细信息

深化大学生创新创业教育改革是贯彻落实我国高质量教育改革的重要举措,要积极探索以提升创新人才素质为目标的人才培养新方式,将创新创业教育贯穿专业教育全过程。大学生创新创业能力的提升不仅有利于创新型国家战略目标的实现、加快供给侧结构改革,更能缓解后疫情时代的就业压力,完善高校创业育人体系。但高校面临着大学生对创新创业认知不足、课程内容固化、实践平台狭窄、评价标准缺位等诸多挑战。大学生创新创业能力的培养需要一套系统的保障机制,通过营造氛围、推进“专创融合”、加强协同育人、建立多元评价体系等举措,将创新创业融入人才培养全过程,以期为提高社会竞争力、担任国家重任提供有力的人才保障。

关键词：创新创业能力培养大学生现代化建设

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A Continuous Finite Element Method with Homotopy VanishingViscosity for Solving the Static Eikonal Equation

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Communications in Computational Physics 2022年第5期31卷 1402-1433页

作者： yong Yang Wenrui Hao yong-tao Zhang College of Science Nanjing University of Aeronautics and AstronauticsNanjing 210016China Key Laboratory of Mathematical Modelling and High Performance Computing of Air Vehicles(NUAA) MIITNanjing 211106China Department of Mathematics Pennsylvania State UniversityUniversity ParkPennsylvaniaUSA Department of Applied and Computational Mathematics and Statistics University of Notre DameNotre DameIN 46556USA

We develop a second-order continuousfinite element method for solving the static Eikonal *** is based on the vanishing viscosity approach with a homotopy method for solving the discretized nonlinear *** specifically,the homotopy method is utilized to decrease the viscosity coefficient gradually,while Newton’s method is applied to compute the solution for each viscosity ***’s method alone converges for just big enough viscosity coefficients on very coarse grids and for simple 1D examples,but the proposed method is much more robust and guarantees the convergence of the nonlinear solver for all viscosity coefficients and for all examples over all *** experiments from 1D to 3D are presented to confirm the second-order convergence and the effectiveness of the proposed method on both structured or unstructured meshes.

关键词： Eikonal equation finite element method homotopy method

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扭曲的涡旋光束在海洋湍流中的传输因子

激光与红外 2024年第3期54卷 448-456页

作者：郝埝炽徐勇根安邦卓徐倩许颖杨宁刘勇涛西华大学理学院四川成都610039

基于扩展惠更斯-菲涅尔原理和维格纳分布函数(Wigner distribution function,WDF)二阶矩,推导了部分相干扭曲涡旋光束(partially coherent twisted vortex beam,PCTVB)在海洋湍流中传输时的M2因子和角扩展θ(z)。通过数值模拟方法详细... 详细信息

基于扩展惠更斯-菲涅尔原理和维格纳分布函数(Wigner distribution function,WDF)二阶矩,推导了部分相干扭曲涡旋光束(partially coherent twisted vortex beam,PCTVB)在海洋湍流中传输时的M2因子和角扩展θ(z)。通过数值模拟方法详细研究了海洋湍流对光束M^(2)因子和角扩展θ(z)的影响,结果表明温度方差耗散率Χ_(T)和温度盐度贡献比w越大、动能耗散率ε和各向异性因子ξ越小时对PCTVB的M^(2)因子和角扩展θ(z)的影响越大。此外研究发现,相较于非扭曲涡旋光束(PCVB),PCTVB有更好的抗海洋湍流的能力,且增大拓扑荷数m以及扭曲因子绝对值|μ|后,PCTVB的M^(2)因子和角扩展θ(z)显著减小,光束的抗海洋湍流能力增强。并且增大束腰宽度w0和波长λ,以及减小初始相干长度δ_(ηη)(η=x,y)同样可以增加光束抗海洋湍流的能力。本文的数值研究结果对海洋光通信具有重要意义。

关键词： PCTVB M^(2)因子角扩展海洋湍流

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有机废弃物厌氧发酵沼液脱氮技术研究进展

现代化工 2024年第1期44卷 48-53页

作者：高培露史大林刘晨何永涛薛罡东华大学环境科学与工程学院上海201600

总结分析了有机废弃物厌氧发酵沼液的来源及性质,综述了物化法和生物法沼液脱氮工艺的发展概况,重点分析了当前沼液脱氮的主流技术生物脱氮法,以期为沼液脱氮提供借鉴与参考。

关键词：有机废弃物沼液物化处理生物处理脱氮

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GNSS网测量规范指标分析及测量工作研究

水电站设计 2024年第2期40卷 46-50,62页

作者：宋小洪陶勇陈尚云雅砻江流域水电开发有限公司四川成都610051 四川中水成勘院测绘工程有限责任公司四川成都610072

通过对GNSS网基线测量精度指标的分析,指出了规范规定的重复基线较差、同步环及异步环闭合差限差的不合理之处,提出了GNSS网基线测量精度应以GNSS网相应等级的固定误差和比例误差进行计算,推导出异步环闭合差限差的公式,阐述了同时段观... 详细信息

通过对GNSS网基线测量精度指标的分析,指出了规范规定的重复基线较差、同步环及异步环闭合差限差的不合理之处,提出了GNSS网基线测量精度应以GNSS网相应等级的固定误差和比例误差进行计算,推导出异步环闭合差限差的公式,阐述了同时段观测环闭合限差的给定理由,并提出公路工程GNSS网测量、GNSS网闭合差的检验方案和GNSS网成果检验方案的建议。

关键词：基线同步环异步环中误差限差

V法铸造生产叉车前桥气孔与缩孔缺陷改进措施

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铸造设备与工艺 2024年第2期 20-23页

作者：孙永涛郭凌冰郭永智山西华翔集团股份有限公司山西临汾041000

针对V法铸造工艺代替树脂砂工艺开发叉车前桥过程产生的孔洞类缺陷问题,通过采取控制熔炼温度、浇注温度、碳当量、残镁量、砂芯烘烤时间,以及增加铁水预处理、冷铁、砂芯排气量等措施,大量减少了气孔与缩孔缺陷,降低了废品率。

关键词：熔炼成分预处理冷铁

Glass Recognition and Map Optimization Method for Mobile Robot Based on Boundary Guidance

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Chinese Journal of Mechanical Engineering 2023年第3期36卷 135-146页

作者： yong tao He Gao Yufang Wen Lian Duan Jiangbo Lan School of Mechanical Engineering and Automation Beihang UniversityBeijing 100191China Research Institute of Aero-Engine Beihang UniversityBeijing 102206China Large Aircraft Advanced Training Center Beihang UniversityBeijing 100191China

Current research on autonomous mobile robots focuses primarily on perceptual accuracy and autonomous *** commercial and domestic constructions,concrete,wood,and glass are typically *** and visual mapping or planning algorithms are highly accurate in mapping wood panels and concrete ***,indoor and outdoor glass curtain walls may fail to perceive these transparent *** this study,a novel indoor glass recognition and map optimization method based on boundary guidance is ***,the status of glass recognition techniques is analyzed ***,a glass image segmentation network based on boundary data guidance and the optimization of a planning map based on depth repair are ***,map optimization and path-planning tests are conducted and compared using different *** results confirm the favorable adaptability of the proposed method to indoor transparent plates and glass curtain *** the proposed method,the recognition accuracy of a public test set increases to 94.1%.After adding the planning map,incorrect coverage redundancies for two test scenes reduce by 59.84%and 55.7%.Herein,a glass recognition and map optimization method is proposed that offers sufficient capacity in perceiving indoor glass materials and recognizing indoor no-entry regions.

关键词： Autonomous mobile robot Multi-sensor fusion Glass recognition Map optimization

Deep learning-assisted common temperature measurement based on visible light imaging

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Chinese Physics B 2024年第8期33卷 230-236页

作者：朱佳仪何志民黄成曾峻林惠川陈福昌余超群李燕张永涛陈焕庭蒲继雄 College of Physics and Information Engineering Minnan Normal UniversityZhangzhou 363000China Fujian Provincial Key Laboratory of Light Propagation and Transformation College of Information Science&EngineeringHuaqiao UniversityXiamen 361021China

Real-time,contact-free temperature monitoring of low to medium range(30℃-150℃)has been extensively used in industry and agriculture,which is usually realized by costly infrared temperature detection *** paper proposes an alternative approach of extracting temperature information in real time from the visible light images of the monitoring target using a convolutional neural network(CNN).A mean-square error of<1.119℃was reached in the temperature measurements of low to medium range using the CNN and the visible light *** angle and imaging distance do not affect the temperature detection using visible optical images by the ***,the CNN has a certain illuminance generalization ability capable of detection temperature information from the images which were collected under different illuminance and were not used for *** to the conventional machine learning algorithms mentioned in the recent literatures,this real-time,contact-free temperature measurement approach that does not require any further image processing operations facilitates temperature monitoring applications in the industrial and civil fields.

关键词： convolutional neural network visible light image temperature measurement low-to-medium-range temperatures

Efficient Sparse-Grid Implementation of a Fifth-Order Multi-resolution WENO Scheme for Hyperbolic Equations

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Communications on Applied Mathematics and Computation 2023年第4期5卷 1339-1364页

作者： Ernie Tsybulnik Xiaozhi Zhu yong-tao Zhang Department of Applied and Computational Mathematics and Statistics University of Notre DameNotre DameIN46556USA

High-order accurate weighted essentially non-oscillatory(WENO)schemes are a class of broadly applied numerical methods for solving hyperbolic partial differential equations(PDEs).Due to highly nonlinear property of the WENO algorithm,large amount of computational costs are required for solving multidimensional *** our previous work(Lu et *** Pure Appl Math Q 14:57–86,2018;Zhu and Zhang in J Sci Comput 87:44,2021),sparse-grid techniques were applied to the classical finite difference WENO schemes in solving multidimensional hyperbolic equations,and it was shown that significant CPU times were saved,while both accuracy and stability of the classical WENO schemes were maintained for computations on sparse *** this technical note,we apply the approach to recently developed finite difference multi-resolution WENO scheme specifically the fifth-order scheme,which has very interesting properties such as its simplicity in linear weights’construction over a classical WENO *** experiments on solving high dimensional hyperbolic equations including Vlasov based kinetic problems are performed to demonstrate that the sparse-grid computations achieve large savings of CPU times,and at the same time preserve comparable accuracy and resolution with those on corresponding regular single grids.

关键词： Weighted essentially non-oscillatory(WENO)schemes Multi-resolution WENO schemes Sparse grids High spatial dimensions Hyperbolic partial differential equations(PDEs)