On the Base Point Locus of Surface Parametrizations:Formulas and Consequences

This paper shows that the multiplicity of the base point locus of a projective rational surface parametrization can be expressed as the degree of the content of a univariate resultant.As a consequence,we get a new proof of the degree formula relating the degree of the surface,the degree of the parametrization,the base point multiplicity and the degree of the rational map induced by the parametrization.In addition,we extend both formulas to the case of dominant rational maps of the projective plane and describe how the base point loci of a parametrization and its reparametrizations are related.As an application of these results,we explore how the degree of a surface reparametrization is affected by the presence of base points.

A Correntropy-based Affine Iterative Closest Point Algorithm for Robust Point Set Registration

The iterative closest point(ICP)algorithm has the advantages of high accuracy and fast speed for point set registration,but it performs poorly when the point set has a large number of noisy outliers.To solve this problem,we propose a new affine registration algorithm based on correntropy which works well in the affine registration of point sets with outliers.Firstly,we substitute the traditional measure of least squares with a maximum correntropy criterion to build a new registration model,which can avoid the influence of outliers.To maximize the objective function,we then propose a robust affine ICP algorithm.At each iteration of this new algorithm,we set up the index mapping of two point sets according to the known transformation,and then compute the closed-form solution of the new transformation according to the known index mapping.Similar to the traditional ICP algorithm,our algorithm converges to a local maximum monotonously for any given initial value.Finally,the robustness and high efficiency of affine ICP algorithm based on correntropy are demonstrated by 2D and 3D point set registration experiments.

Triplet Label Based Image Retrieval Using Deep Learning in Large Database

Recent days,Image retrieval has become a tedious process as the image database has grown very larger.The introduction of Machine Learning(ML)and Deep Learning(DL)made this process more comfortable.In these,the pair-wise label similarity is used tofind the matching images from the database.But this method lacks of limited propose code and weak execution of misclassified images.In order to get-rid of the above problem,a novel triplet based label that incorporates context-spatial similarity measure is proposed.A Point Attention Based Triplet Network(PABTN)is introduced to study propose code that gives maximum discriminative ability.To improve the performance of ranking,a corre-lating resolutions for the classification,triplet labels based onfindings,a spatial-attention mechanism and Region Of Interest(ROI)and small trial information loss containing a new triplet cross-entropy loss are used.From the experimental results,it is shown that the proposed technique exhibits better results in terms of mean Reciprocal Rank(mRR)and mean Average Precision(mAP)in the CIFAR-10 and NUS-WIPE datasets.

Spaces with σ-point-discrete N_0-weak bases

It is discussed in this paper the spaces with σ-point-discrete N_0-weak bases. The main results are： （1） A space X has a σ-compact-finite N_0-weak base if and only if X is a k-space with a σ-point-discrete N_0-weak base; （2） Under （CH）, every separable space with a σ-point-discrete N_0-weak base has a countable N_0-weak base.

NEW APPROACH FOR RELIABILITY-BASED DESIGN OPTIMIZATION:MINIMUM ERROR POINT

Conventional reliability-based design optimization （RBDO） requires to use the most probable point （MPP） method for a probabilistic analysis of the reliability constraints. A new approach is presented, called as the minimum error point （MEP） method or the MEP based method, for reliability-based design optimization, whose idea is to minimize the error produced by approximating performance functions. The MEP based method uses the first order Taylor＇s expansion at MEP instead of MPP. Examples demonstrate that the MEP based design optimization can ensure product reliability at the required level, which is very imperative for many important engineering systems. The MEP based reliability design optimization method is feasible and is considered as an alternative for solving reliability design optimization problems. The MEP based method is more robust than the commonly used MPP based method for some irregular performance functions.

GRAPHICAL COMPUTING METHOD ON FOUR-BAR LINKAGE(1)——Inflexion Circle,Focal Axis,Ball's Point,Centering-point Curve and Circling-point Curve For Four ISPs,Coupler Curves Based on Ball's Points——

By means of programs GTMPAC based- on generalized triangle method,analysis and synthesis of mechanism design in accordance with absolutely graphicalmethod( absolutely germetrical method) are developed.In this paper,we make aspecial study about centering- point curve and circling- point curve and couplercurves based on Ball’s points.

On the Angular Distribution of the Representative Points of Bases of Human Protein Coding Sequences

A novel diagrammtic method is proposed to show the angular distribution of bases of human protein sequences. Using this method, the distribution sphere[1-4] is divided into four regions with same volume. The picture is clearer and more intuitive than that in [1] .A rule on the angular distribution of the representative points of bases of protein sequences is given. Besides, in 300 representative pointS of human protein sequence samples we find that there are three (not only one) points outside the sphere.

On Point-Based Haptic Rendering

Haptic rendering is referred to as an approach for complementing graphical model of the virtual object with mechanics- based properties. As a result, when the user interacts with the virtual object through a haptic device, the object can graphically deflect or deform following laws of mechanics. In addition, the user is able to feel the resulting interaction force when interacting with the virtual object. This paper presents a study of defining the levels-of-detail (LOD) in point-based computational mechanics for haptic rendering of objects. The approach uses the description of object as a set of sampled points. In comparison with the finite element method (FEM), point-based approach does not rely on any predefined mesh representation and depends on the point representation of the volume of the object. Different from solving the governing equations of motion representing the entire object based on pre-defined mesh representation which is used in FEM, in point-based modeling approach, the number of points involved in the computation of displacement/deformation can be adaptively defined during the solution cycle. This frame work can offer the implementation of the notion for levels-of-detail techniques for which can be used to tune the haptic rendering environment for in- creased realism and computational efficiency. This paper presents some initial experimental studies in implementing LOD in such environment.

Base-out恢复点为目标手术量的急性共同性内斜视治疗效果分析

目的:探讨Base-out恢复点为目标手术量的急性共同性内斜视(AACE)治疗效果。方法:收治60例AACE患者,对患者进行Base-out恢复点为目标手术量的治疗干预。对比手术效果、Base-out恢复点参数、立体视觉恢复及影响因素。结果:术后左眼、右眼近视屈光度高于术前,术后近距、远距斜视度低于术前(P<0.05)。术后Base-out恢复点近距、远距均低于术前,术后的BI恢复点包括近距、远距高于术前(P<0.05)。结论:AACE患者采用基于Base-out恢复点为目标手术量有较好的治疗效果,改善立体视觉功能。

基于OBE的多学科协作教学模式在POCUS技术辅助内瘘管理的培训效果分析

目的探讨基于成果导向教育理念(outcome-based education,OBE)的多学科协作教学模式在床边实时超声(point-of-care ultrasound,POCUS)辅助内瘘管理培训中的应用效果。方法招募培训对象,采用基于OBE的多学科协作教学模式设置POCUS技术在血液透析患者内瘘管理中应用的培训框架和内容,对来自57家血液透析中心的70例护士实施培训并评价效果。结果实施培训后,护士对使用POCUS进行内瘘管理的信心得分为39.00(38.00,41.00)分,高于培训前的21.00(20.00,25.00)分(Z=7.278,P<0.001)。考核结果显示考核通过率为90.00%,考核总成绩为82.50(69.73,89.78)分,其中55.71%良好,34.29%中等,10.00%较差。结论基于OBE和多学科协作模式开展教学活动,有助于血液透析护士在较短的时间内系统地学习POCUS技术,值得推广。

Component-based software reliability analysis incorporating imperfect debugging and change-point

Against the deficiencies of component-based software(CBS) reliability modeling and analysis,for instance,importing too many assumptions,paying less attention to debugging process without considering imperfect debugging and change-point(CP) problems adequately,an approach of CBS reliability process analysis is proposed which incorporates the imperfect debugging and CP.First,perfect/imperfect debugging and CP are reviewed.Based on the queuing theory,a multi-queue multichannel and infinite server queuing model(MMISQM) is presented to sketch the integration test process of CBS.Meanwhile,considering the effects of imperfect debugging and CP,expressions for fault detection and correction are derived based on MMISQM.Numerical results demonstrate that the proposed model can sketch the integration test process of CBS with preferable performance which outperforms other models.

Interaction Rule between Rare Earths and LowMelting Point Elements in Fe-,Cu-,AI-,Ni-Base Liquid Solutions

Interaction rule between representative RE and Sn, Sb, Pb, Cu, S, P low melting point elements respectively in Fe , Cu , Al , Ni base liquid solutions including totally 34 ternary and quarternary systems was investigated. For each system some thermodynamic properties were obtained, such as the standard free energies of equilibrium reactions, activity interaction coefficients etc ..

虚拟仿真实训基地成果积分管理系统设计

职业教育院校所采取的成果积分管理机制,对高质量推进示范性虚拟仿真实训基地建设、激励标志性成果取得具有重要意义。基地建设内涵丰富,成果管理信息系统面向教学、实训、培训、科研、竞赛、科普等多个领域的成果,面临不同等级与人员积分分配规则的难题。针对这一问题,通过对系统需求的详细分析,构建了职业教育示范性虚拟仿真实训基地成果积分管理系统的总体功能架构与业务逻辑,详细设计了系统的底层数据结构与字段约束,完成了系统主要界面的设计,为系统实现提供参考。

考虑综合经济性的风光配电网储能优化配置

在配电网中配置储能系统可以有效缓解风光接入对配电网产生的影响,提升对风光的消纳能力、减少电压偏差等,而储能接入的位置和容量不同会对配电网产生不同的影响。首先分析储能建设过程中的主要费用,考虑基于分时电价下的网损成本和峰谷差收益,以年综合成本、配电网的日节点电压偏差和最小为目标,建立配电网储能选址定容模型,采用改进多目标遗传二代算法(improved multi-objective nondominated sorting genetic Ⅱ algorithm, INSGA-Ⅱ)对模型进行求解,利用改进理想点决策法(improved ideal point based decision, IIPBD)来选取最优配置方案,最后在IEEE-33节点模型中对方案进行验证。仿真结果表明:使用INSGA-Ⅱ算法进行求解时最终决策出的储能配置方案实现了成本最小,并且显著提升了电压的稳定性,验证了改进后算法的优良性和所提出的储能优化配置方案的有效性。

课程思政视域下中学项目式学习设计——以“三等分角工具的制作”项目为例

课程思政是实现立德树人根本任务的战略举措,也是课程建设改革的重要方向,但在基础教育领域,课程思政的理论与实践研究较少,落实存在困难。项目式学习具有独特的育人功能,可以其为实践抓手落实课程思政。文章阐明以项目式学习落实课程思政的内在机理,构建模式化的项目设计流程,并以“三等分角工具的制作”项目为例辅助说明,总结课程思政视域下项目式学习的设计应注意提高项目思政浓度、构建浸润式教育环境、关注学生具身体验等,从而取得良好的思政育人成效。

混凝土加固施工中的环氧树脂胶改性及效果研究

针对传统混凝土施工中环氧树脂胶质脆韧性不足和高温易流挂的问题,提出通过气相白炭黑(MSD)对传统环氧树脂结构胶进行改性。试验结果表明,在酚醛胺固化剂T-31掺量为15%,聚酰胺固化剂PA掺量为40%,硅烷偶联剂KH-792的掺量为3%,超细石英砂掺量为40%,纳米碳酸钙掺量为20%,MSD掺量为3%;短切碳纤维掺量为6%配比下制备的结构胶性能最佳。14 d压缩强度、拉伸强度、正拉粘接强度和拉伸抗拉强度分别为81、34、5.5和18.5 MPa。表现出良好的阻裂粘接性能,可以在桥梁混凝土加固中发挥重要作用。

油基钻井液乳化剂的制备与性能评价

钻井液乳化剂是油井钻探中的重要化学品之一,其性能评价对于钻井工程的成功进行具有重要意义。优秀的乳化剂能确保钻井液的稳定性和流变性能。在选择乳化剂时,应充分考虑其理化性能和体系综合性能,以确保钻井工程的成功进行。本研究以植物油酸、二乙烯三胺、马来酸酐为主要原料,制备了6种乳化剂产品,并对其进行理化性能评价和体系综合性能评价。实验结果显示,乳化剂PF-MOEMUL1、PF-MOCOAT1、PF-MOEMUL2、PF-MOCOAT2满足所有指标要求,在理化性能评价和体系综合性能评价的关键指标上有良好的性能,为钻井工程提供可靠的保证。而乳化剂PF-MOEMUL3、PF-MOCOAT3在倾点和塑性黏度方面未能达到指标要求。可能导致乳液不稳定、流变性能不佳等问题,从而影响钻井工程的顺利进行。通过对钻井液乳化剂的性能评价,对乳化剂的选择和应用提供了有效的参考指导。

结合载客热点和POI的出租车停车位划定方法

针对出租车随意停靠造成城市交通拥堵甚至交通事故的问题,利用成都实际区域的出租车GPS(Global Position System)数据和爬取的POI(Point of Interest)数据,使用DBSCAN(Density-Based Spatial Clustering of Application with Noise)聚类算法对上下客点进行聚类,得到出租车的载客热点,根据POI的类型划定载客热点区域的类型,对出租车不同时间的出行需求进行分析,进而划分出出租车的固定停车区域。研究结果表明,出租车固定停车区域的设定与出行者的出行需求有关,即将固定停车区域设置在出行者出行需求多的区域,可以满足出行者的不同出行需求。结合出租车载客热点和爬取POI数据划定固定停车区域的方法具有较高的实用性,可为城市交通安全方面提供理论和现实意义。

点渲染方式对量化点云主观质量的影响及算法优化

为探究点渲染方式对量化点云主观质量的影响并优化渲染算法,设计了不同基础几何体类型和渲染半径计算方式的点云主观质量评价实验。通过威尔科克森符号秩检验和双独立样本T检验,分析了基础几何体类型和最近邻渲染算法对几何和属性量化失真点云主观质量的影响。实验结果表明:基础几何体类型由于混叠程度不同而对主观质量影响不同,基础几何体混叠面积越大则主观质量越低;最近邻渲染算法对主观质量影响不显著,该算法减少了点云渲染后空洞的产生,却增大了混叠程度。在属性失真较小时,最近邻渲染算法效果优于渲染半径固定算法;在属性失真较大时,则劣于渲染半径固定的算法。结合主观实验结果,建立了混叠、空洞失真和基础几何体渲染半径的数学模型,在几何量化采用八叉树剪枝的基础上,通过空间相似性对模型参数进行简化并求解,提出一种利用几何量化参数计算基础几何体渲染半径的算法。与最近邻渲染算法相比,所提算法节省了52%的时间复杂度,渲染点云峰值信噪比提升了12.3%,主观质量分数提升了0.5。研究减少了计算资源,提高了渲染效率,可为渲染器的设计和优化提供参考。

基于激光点云的橡胶树参数反演与数字孪生构建

基于激光雷达(Light Detection And Ranging,LiDAR)数据重建树体三维模型并精准获取林木空间枝干结构参数对林木性状评价、森林动态经营管理与可视化研究具有重要意义。为此提出一种基于骨架细化提取的树木模型重建方法。首先,采用FocusS350/350 PLUS三维激光扫描仪获取3块不同树龄橡胶树的样地数据。然后,作为细化建模的重点,将枝干点云从原始树点中分离出来,再将其过度分割为若干点云簇,通过相邻点云簇判断是否有分枝以及动态确定骨架点间距,并将其运用在空间殖民算法以此来生成树的三维骨架点和骨架点连通性链表,根据连通链表结构自动识别树木中的主枝干和各个一级分枝,再通过广义圆柱体生成树干完成树木三维重建。最后,利用数字孪生技术对这3块不同树龄样地树木进行三维实景建模,使其穿越时空在同一空间中重现,以便更为直观地观察树木在生长过程中的形态变化。该算法得到的橡胶树胸径与实测值比对为,决定系数(R^(2))>0.91,均方根误差(root mean square Error,RMSE)<1.00 cm;主枝干与一级枝干的分枝角为,R^(2)>0.91,RMSE<2.93;一级枝干直径为,R^(2)>0.90,RMSE<1.41 cm;将3个树龄放在一起计算其生长参数,并与实测值进行对比,发现该算法同样适用于异龄林样地的各个生长参数计算。同时发现橡胶树的一级枝条的直径越大,其相对应的叶团簇体积就越大。运用人工智能的理论模型来处理林木的激光点云数据,旨在为森林的可视化以及树木骨架结构的智能化分析与处理等研究领域提供有价值的参考。