POINT PATTERN MATCHING ALGORITHM BASED ON POINT PAIR TOPOLOGICAL CHARACTERISTICS AND SPECTRAL MATCHING

Most of the Point Pattern Matching (PPM) algorithm performs poorly when the noise of the point's position and outliers exist. This paper presents a novel and robust PPM algorithm which combined Point Pair Topological Characteristics (PPTC) and Spectral Matching (SM) together to solve the afore mentioned issues. In which PPTC, a new shape descriptor, is firstly proposed. A new comparability measurement based on PPTC is defined as the matching probability. Finally, the correct matching results are achieved by the spectral matching method. The synthetic data experiments show its robustness by comparing with the other state-of-art algorithms and the real world data experiments show its effectiveness.

6DOF pose estimation of a 3D rigid object based on edge-enhanced point pair features

The point pair feature(PPF)is widely used for 6D pose estimation.In this paper,we propose an efficient 6D pose estimation method based on the PPF framework.We introduce a well-targeted down-sampling strategy that focuses on edge areas for efficient feature extraction for complex geometry.A pose hypothesis validation approach is proposed to resolve ambiguity due to symmetry by calculating the edge matching degree.We perform evaluations on two challenging datasets and one real-world collected dataset,demonstrating the superiority of our method for pose estimation for geometrically complex,occluded,symmetrical objects.We further validate our method by applying it to simulated punctures.

Near Crack Line Elastic-Plastic Analysis for an Infinite Plate Loaded by a Pair of Point Shear Forces

The near crack line analysis method was used to investigate a crack loaded by a pair of point shear forces in an infinite plate in an elastic-perfectly plastic solid. The analytical solution was obtained, that is the elastic-plastic fields near crack line and law that the length of the plastic zone along the crack line is varied with external loads. The results are sufficiently precise near the crack line and are not confined by small scale yielding conditions.

ELASTIC-PLASTIC ANALYTICAL SOLUTIONS FOR AN ECCENTRIC CRACK LOADED BY TWO PAIRS OF ANTI-PLANE POINT FORCES

The improved near crack line analysis method was used to investigate an eccentric cracked plate loaded by two pairs of anti_plane point forces at the crack surface in an elastic_perfectly plastic solid. The analytical solutions of the elastic_plastic stress fields and displacements near the crack line have been found without the assumptions of the small scale yielding. The law that the length of the plastic zone along the crack line is varied with an external loads and the bearing capacity of an eccentric cracked plate are obtained.

Creation of Virtual Wi-Fi Access Point and Secured Wi-Fi Pairing, through NFC

The growing ubiquity of Wi-Fi networks combined with the integration of low-cost Wi-Fi chipsets in all devices makes Wi-Fi as the wireless technology the most used for accessing to internet [1]. This means that the development of a Wi-Fi strategy has become an imperative for almost all operators worldwide. In this context, APs (Access Points) have to become as secure as cellular networks. Furthermore, authentication process between a mobile device and an access point has to be automated, without user constraining configuration. For reaching this purpose, client must have different credentials depending on authentication method. Our goal is to create an architecture that is both ergonomic and flexible in order to meet the need for connection and client mobility. We use NFC technology as a radio channel for starting communication with the network. The communication initiation will instantiate a virtual Wi-Fi AP and distribute all policies and access certificates for an authentication based on EAP-TLS (it could be extended to any EAP method for 802.1X standard). The end result of our new topology is to allow access to services through a virtual Wi-Fi AP with an enterprise-grade in a public hotspot.

NEAR CRACK LINE ELASTIC-PLASTIC ANALYSIS FOR A FINITE PLATE LOADED BY TWO PAIRS OF ANTIPLANE POINT FORCES

In this paper, the improved near crack line analysis method proposed in Refs. [1] and [2] is used to investigate a center crack loaded by two pairs of antiplane point forces in a finite plate in an elastic-perfectly plastic solid. And the analytical solutions are obtained, that is elastic-plastic stress fields near the crack line and the law that the length of the plastic zone along the crack line is varied with an external loads tr,ld the bearing capacity of a finite plate with a center crack. The results of this paper are sufficiently precise near the crack line, because the assumptions of the small scale yielding theory have not been used and no other assumptions have been taken.

Effect of acupuncture on acupoint "Yingxiang-Hegu" on Th1, Th2 cytokines and T-bet/GATA-3 of allergic rhinitis rats

Objective:To explore the effect of"Yingxiang-Hegu"on Th1,Th2-related cytokines and[2]transcription factors T-bet and GATA-3 in rats with allergic rhinitis.Methods:Rats were randomly divided into three groups:blank group,model group and acupoint group.The rat model of ovalbumin(OVA)AR was established,and the general condition of the rats was observed and scored.Acupuncture intervention was performed on the acupoint group on the second day after successful modeling,once per day for 20 min for 10 d.After intervention,the general behavior,behavioral score and histomorphological changes of nasal mucosa were observed.Eosinophils(EOS)were counted under microscope after nasal lavage smear staining,and the contents of total IgE,IFN-γ,IL-12,IL-4 and IL-5 in serum were detected by ELISA.Westernblot and IHC were used to detect the protein level and positive protein expression of specific transcription factors T-bet and GATA-3 in rat nasal mucosa.Results:After the establishment of the model,except for the blank group,the behavioral observation scores of rats in the model group and acupoint group were more than 5 points,indicating that the model was successful.After acupuncture intervention on acupoint"Yingxiang-Hegu",the behavioral score of rats in the acupoint group and western medicine group was significantly lower than that in the model group(P<0.05).Microscopic examination showed that the structure of nasal mucosa in the model group was obviously damaged,cilia were arranged discontinuously,uneven,local congestion and swelling,a large number of epithelial cells exfoliated and necrotic,goblet cell proliferation,obvious inflammatory cell infiltration.The pathological degree of nasal mucosa in the pair point group was significantly less than that in the model group.Compared with the model group,the levels of IFN-γ,IL-2 and IL-12 in serum were significantly increased,while IgE,IL-4,IL-5 and IL-6 were significantly decreased,GATA-3 protein and positive expression in nasal mucosa were significantly decreased and T-bet was significantly increased after acupuncture.Conclusion:Acupuncture at"Yingxiang-Hegu"can effectively improve the nasal sensitive symptoms and control nasal inflammation in AR rats.The mechanism may be that acupuncture at Yingxiang-Hegu can up-regulate the expression of T-bet,decrease the level of GATA-3,promote the production of Th1 cytokines and inhibit the synthesis and secretion of Th2 cells,thus restoring the immune balance of Th1 and Th2.

基于ConvMixer架构的高效点云分类方法

近年来,视觉Transformer模型在点云分类等三维计算机视觉任务中显现出潜在的优越性,但其有效性来源仍然模糊不清。研究它们在视觉任务中的性能是完全归功于Transformer结构本身的优越性,还是至少部分得益于使用局部块作为输入表示,是非常必要的。受此启发,本文提出了一种简单但仍然有效的点云分类和分割模型PointConvMixer,用ConvMixer架构取代了Point-BERT中的标准Transformer。PointConvMixer在ModelNet40数据集上的整体分类准确率达到92.3%,在ShapeNet Parts数据集上进行点云部分分割时mIOUI和mIOUC分别为85.4%和83.9%,均优于基于Transformer的对比模型。此外,本文还进一步提出PPFConvMixer,其利用高效的局部特征描述符PPF增强了PointConvMixer,从而优化了点云分类性能。在查询半径为0.25m时,PPFConvMixer的总体分类准确率达到了93.8%。

点接触弹流摩擦副动特性研究

弹流油膜具有显著的弹簧、阻尼特性,对高副机械零件和系统的动特性具有重要影响。研究弹流摩擦副的动特性,揭示弹流摩擦副动力学特性的变化规律,对改进和提升整个机械系统的动力学设计具有重要意义。基于弹流润滑理论和机械振动学,建立点接触弹流摩擦副的摩擦学-动力学耦合模型,采用数值方法求解弹流摩擦副在简谐激励下的振动响应;通过简谐激励下弹流摩擦副的阻尼环识别出弹流摩擦副的刚度和阻尼,用参数控制的方法研究载荷、速度、材料参数及椭圆度等对弹流摩擦副刚度和阻尼的影响。结果表明:在研究的速度和载荷范围内,摩擦副的刚度和阻尼随载荷和椭圆度的增大而增大,随速度和材料参数的增大而减小,其中载荷对点接触EHL摩擦副的刚度和阻尼的影响最为显著,相比阻尼,摩擦副的刚度随载荷、速度和材料参数的变化幅度要大得多。在数值算例的基础上,给出弹流摩擦副的刚度和阻尼关于载荷、速度和材料参数的拟合公式。数值比较结果表明,给出的拟合公式具有满意的精度,可快速计算弹流状态下点接触摩擦副的刚度和阻尼。

基于质心−凸包−自适应聚类法的浮选泡沫动态特征提取

面对复杂的浮选现场环境及浮选泡沫自身相互粘连导致的边界不清等情况,现有泡沫动态特征(流动速度和崩塌率)提取方法往往无法准确划定属于每个泡沫的动态特征采样区域、不能全面匹配相邻帧间的特征点对且难以有效识别崩塌区域。针对上述问题,提出了一种基于质心−凸包−自适应聚类法的浮选泡沫动态特征提取方法。该方法采用集成Swin−Transformer多尺度特征提取能力的改进型Mask2Former,实现对泡沫质心的精准定位和崩塌区域的有效识别;通过最优凸包评价函数搜寻目标泡沫周围相邻一圈泡沫质心构建的凸包,拟合出接近实际泡沫轮廓的动态特征采样区域;运用基于Transformer的局部图像特征匹配(LoFTR)算法匹配相邻帧图像间的特征点对;针对动态特征采样区域内部的所有特征点对,通过基于OPTICS算法的主特征自适应聚类法提取每个泡沫的主要流动速度。实验结果表明,在普通泡沫质心定位和崩塌区域识别任务中,该方法分别取得了88.83%,97.92%的准确率及77.90%,96.52%的交并比;以2.69%的平均剔除率实现了99.93%的特征点对匹配正确率;在多种工况下均能有效划定与实际泡沫边界相近的特征采样区域,进而定量提取每个泡沫的动态特征。

一种针对大规模场景的点云匹配算法

针对大规模点云匹配时传统算法速度慢和匹配结果不一致的问题,提出一种新的点云匹配方法。该方法首先利用KD树找到点云中深度最小的点并以该点作为种子点,然后通过在深度信息和曲率两个方面做以改进的区域生长分割算法提取出点云上表面区域,并在该区域提取点云边界。最后使用改进的点对特征完成点云匹配算法验证。实验结果表明,相比传统算法,该方法在匹配速度以及匹配结果的一致性方面得到了显著的提升,在处理大规模点云匹配上具有实际应用价值。

基于点云薄切技术的协作机器人喷漆轨迹规划算法

针对传统喷漆轨迹规划算法中需要大量搜索最近点对的缺陷,提出一种基于点云薄切技术的初始轨迹点提取算法。该算法通过计算点云模型密度确定切片厚度,并将薄片上的点设定为初始轨迹点,通过避免点对搜索的方式提高了运行效率。为解决传统线性插值算法导致的轨迹精度不足和曲率过大等问题,提出一种轨迹拟合算法。该算法首先将三维空间中的轨迹点映射到二维坐标系,并引入孤立森林算法去除轨迹点异常值,然后结合曲线拟合方法进行轨迹规划。实验结果表明,该算法规划的轨迹具有更高的精度和光滑度,同时提升了算法的整体运行效率。

基于Pair Copula的随机潮流三点估计法

现有Copula等方法难以对多维风电功率准确建模,且传统的点估计法无法直接应用于风电功率具有相关性的场合。针对这一问题,提出基于Pair Copula和概率积分变换的随机潮流点估计法。首先采用Pair Copula对多维风电功率进行建模,然后使用点估计法在独立正态概率空间中采样,最后,依据概率积分变换,把采样点变换到实际风电功率的概率空间中进行潮流计算,从而使点估计法能够处理具有任意概率分布的多维风电功率。对澳大利亚多个风电场出力样本的建模和分析验证了Pair Copula模型的优越性,基于IEEE 118节点系统的算例验证了所提方法的有效性。

First-principles exploration of defect-pairs in GaN

Using first-principles calculations,we explored all the 21 defect-pairs in GaN and considered 6 configurations with different defect-defect distances for each defect-pair.15 defect-pairs with short defect–defect distances are found to be stable during structural relaxation,so they can exist in the GaN lattice once formed during the irradiation of high-energy particles.9 defect-pairs have formation energies lower than 10 eV in the neutral state.The vacancy-pair VN–VN is found to have very low formation energies,as low as 0 eV in p-type and Ga-rich GaN,and act as efficient donors producing two deep donor levels,which can limit the p-type doping and minority carrier lifetime in GaN.VN–VN has been overlooked in the previous study of defects in GaN.Most of these defect-pairs act as donors and produce a large number of defect levels in the band gap.Their formation energies and concentrations are sensitive to the chemical potentials of Ga and N,so their influences on the electrical and optical properties of Ga-rich and N-rich GaN after irradiation should differ significantly.These results about the defect-pairs provide fundamental data for understanding the radiation damage mechanism in GaN and simulating the defect formation and diffusion behavior under irradiation.

多特征提取与匹配矩阵驱动的点云配准

针对三维点云配准时容易受到噪声、奇异值等不利因素影响的问题,提出一种多特征提取与匹配矩阵驱动的点云配准方法。利用多特征提取模块提取稳健的关键点和关键点的局部几何特征;分别计算出关键点的特征匹配矩阵和空间匹配矩阵,并对二者进行融合,提高正确匹配点对的概率;在前两方法的驱动下,利用加权奇异值分解计算点云间的刚体变换矩阵,降低噪声和奇异值等因素对配准的影响。实验结果表明,所提方法与现有的点云配准方法相比,具有更高的配准精度和较强的鲁棒性。

Magnetic Null-Pairs within Magnetic Reconnection Ion Diffusion Region in the Magnetotail: A Case Study

The 3-dimentional structure of magnetic reconnection ion diffusion region has been studied in this paper. Steady magnetic null-pair structure is found among the Cluster tetrahedron within a thin current sheet when magnetic reconnection takes place in the near-Earth magnetotail. Two magnetic null points in the null-pair are well coupled, with an angle of about 3~7° between the spin line of one and the fan surface of the other. The magnetic null-pair detected in the ion diffusion region, is quasi-stable in spatial structure but fast evolved in time, consistent with the fast reconnection scenario. The spatially steady magnetic null-pair within the diffusion region of the collision less fast magnetic reconnection presents an advanced understanding of the magnetic reconnection process.

基于点云中心约束的点对特征三维物体识别算法

目标姿态识别系统中能够快速、准确在复杂场景里识别目标物体是实现机器人在线抓取的关键,针对传统点对特征(PPF)算法相邻物体点云干扰的问题,提出了一种基于点云中心约束点对特征的三维物体识别算法。首先通过法向量相交约束为条件提取物体中心,然后根据模型的大小筛选出相关的点对特征,最后利用共面点对和物体中心特征,实现计算三维物体的姿态,以此来提高识别速度。实验结果表明,该算法显著减少特征描述符数量,提高了三维物体在复杂场景中的识别速度。与原始的点对特征算法相比,该方法对三维目标识别具有较好的性能与速度。

基于点对特征的无序散乱堆叠工件位姿估计算法

针对无序分拣场景中物体相互堆叠遮挡导致的位姿估计误差大的问题,提出了一种基于点对特征(point pair feature,PPF)的杂乱堆叠工件位姿估计算法。离线训练阶段,使用更优的点云降采样方案和更为细致的点云法线计算方式,以保留更多具有区分性的点对,实现模型更为精确的全局描述;在线匹配阶段,通过快速投票方案获得杂乱堆叠场景中目标的候选位姿,并提出了一种基于体素索引和位姿交并比的聚类策略完成位姿聚类和误匹配位姿的剔除,实现目标位姿的粗估计,最后采用ICP(iterative closest points)算法完成目标位姿的优化,获得目标的精确的6D位姿。分别进行了仿真场景实验和机械臂分拣实验。结果表明:所提算法在杂乱场景中对3种类型工件的平均识别率为98.4%,单个工件识别时间均小于0.86s,且位姿估计精度较原始PPF算法有明显提升;在实际分拣实验中识别成功率达96.7%,分拣成功率达95.3%,验证了算法在实际应用中对于噪声和杂乱遮挡的鲁棒性较强。

COMMON FIXED POINTS WITH APPLICATIONS TO BEST SIMULTANEOUS APPROXIMATIONS

For a subset K of a metric space （X,d） and x ∈ X,Px（x）={y ∈ K ： d（x,y） = d（x,K）≡ inf{d（x,k） ： k ∈ K}}is called the set of best K-approximant to x. An element go E K is said to be a best simulta- neous approximation of the pair y1,y2 E ∈ if max{d（y1,go）,d（y2,go）}=inf g∈K max {d（y1,g）,d（y2,g）}.In this paper, some results on the existence of common fixed points for Banach operator pairs in the framework of convex metric spaces have been proved. For self mappings T and S on K, results are proved on both T- and S- invariant points for a set of best simultaneous approximation. Some results on best K-approximant are also deduced. The results proved generalize and extend some results of I. Beg and M. Abbas^[1], S. Chandok and T.D. Narang^[2], T.D. Narang and S. Chandok^[11], S.A. Sahab, M.S. Khan and S. Sessa^[14], P. Vijayaraju^[20] and P. Vijayaraju and M. Marudai^[21].

以对穴“睛明“”风池”为主治疗视神经萎缩的处方思路

视神经萎缩是由多种原因导致视网膜—膝状体通路损害的致盲性眼病,临床表现为不同程度的视功能障碍。“对穴理论”作为现代针灸辨证取穴的基础,揭示了针灸处方配穴的一般规律。韦企平教授继承先辈经验结合临床实际,归纳“韦氏三联九针”疗法治疗视神经疾病,改善视功能疗效确切,其中,睛明和风池作为韦氏眼科常用对穴之一,也是临床治疗视神经萎缩中取穴频次最高的2个穴位。故本文以睛明和风池为重点,从中医调畅气机和现代医学2个方面探讨对穴治疗视神经萎缩的一般思路。