A Radial Basis Function Method with Improved Accuracy for Fourth Order Boundary Value Problems

Accurately approximating higher order derivatives is an inherently difficult problem. It is shown that a random variable shape parameter strategy can improve the accuracy of approximating higher order derivatives with Radial Basis Function methods. The method is used to solve fourth order boundary value problems. The use and location of ghost points are examined in order to enforce the extra boundary conditions that are necessary to make a fourth-order problem well posed. The use of ghost points versus solving an overdetermined linear system via least squares is studied. For a general fourth-order boundary value problem, the recommended approach is to either use one of two novel sets of ghost centers introduced here or else to use a least squares approach. When using either ghost centers or least squares, the random variable shape parameter strategy results in significantly better accuracy than when a constant shape parameter is used.

The Homotopy Perturbation Renormalization Group Method to Solve the WKB Problem with Turn Points

In this paper,we give the homotopy perturbation renormalization group method,this is a new method for turning point problem.Using this method,the independent variables are introduced by transformation without introducing new related variables and no matching is needed.The WKB approximation method problem can be solved.

A Robust Wi-Fi Fingerprinting Indoor Localization Coping with Access Point Movement

A Wi-Fi fingerprinting localization approach has attracted increasing attention in recent years due to the ubiquity of Access Point( AP). However,typical fingerprinting localization methods fail to resist accidental environmental changes,such as AP movement. In order to address this problem,a robust fingerprinting indoor localization method is initiated. In the offline phase,three attributes of Received Signal Strength Indication( RSSI) —average,standard deviation and AP's response rate—are computed to prepare for the subsequent computation. In this way,the underlying location-relevant information can be captured comprehensively. Then in the online phase, a three-step voting scheme-based decision mechanism is demonstrated, detecting and eliminating the part of AP where the signals measured are severely distorted by AP 's movement. In the following localization step,in order to achieve accuracy and efficiency simultaneously,a novel fingerprinting localization algorithm is applied. Bhattacharyya distance is utilized to measure the RSSI distribution distance,thus realizing the optimization of MAximum Overlapping algorithm( MAO). Finally,experimental results are displayed,which demonstrate the effectiveness of our proposed methods in eliminating outliers and attaining relatively higher localization accuracy.

First-order optimality condition of basis pursuit denoise problem

A new first-order optimality condition for the basis pursuit denoise （BPDN） problem is derived. This condition provides a new approach to choose the penalty param- eters adaptively for a fixed point iteration algorithm. Meanwhile, the result is extended to matrix completion which is a new field on the heel of the compressed sensing. The numerical experiments of sparse vector recovery and low-rank matrix completion show validity of the theoretic results.

Embedding 3-D Gaze Points on a 3-D Visual Field:A Case of Transparency

2022 The paper seeks to demonstrates the likelihood of embedding a 3D gaze point on a 3D visual field,the visual field is inform of a game console where the user has to play from one level to the other by overcoming obstacles that will lead them to the next level.Complex game interface is sometimes difficult for the player to progress to next level of the game and the developers also find it difficult to regulate the game for an average player.The model serves as an analytical tool for game adaptations and also players can track their response to the game.Custom eye tracking and 3D object tracking algorithms were developed to enhance the analysis of the procedure.This is a part of the contributions to user interface design in the aspect of visual transparency.The development and testing of human computer interaction uses and application is more easily investigated than ever,part of the contribution to this is the embedding of 3-D gaze point on a 3-D visual field.This could be used in a number of applications,for instance in medical applications that includes long and short sightedness diagnosis and treatment.Experiments and Test were conducted on five different episodes of user attributes,result show that fixation points and pupil changes are the two most likely user attributes that contributes most significantly in the performance of the custom eye tracking algorithm the study.As the advancement in development of eye movement algorithm continues user attributes that showed the least likely appearance will prove to be redundant.

Maximum power point tracking of a photovoltaic energy system using neural fuzzy techniques

In order to improve the output efficiency of a photovoltaic （PV） energy system, the real-time maximum power point （MPP） of the PV array should be tracked closely. The non-linear and time-variant characteristics of the photovoltaic array and the non-linear and non-minimum phase characteristics of a boost converter make it difficult to track the MPP as in traditional control strategies. A neural fuzzy controller （NFC） in conjunction with the reasoning capability of fuzzy logical systems and the learning capability of neural networks is proposed to track the MPP in this paper. A gradient estimator based on a radial basis function neural network is developed to provide the reference information to the NFC. With a derived learning algorithm, the parameters of the NFC are updated adaptively. Experimental results show that, compared with the fuzzy logic control algorithm, the proposed control algorithm provides much better tracking performance.

Modeling pipe-soil interaction under vertical downward relative offset using B-spline material point method

To analyze the pipeline response under permanent ground deformation,the evolution of resistance acting on the pipe during the vertical downward offset is an essential ingredient.However,the efficient simulation of pipe penetration into soil is challenging for the conventional finite element(FE)method due to the large deformation of the surrounding soils.In this study,the B-spline material point method(MPM)is employed to investigate the pipe-soil interaction during the downward movement of rigid pipes buried in medium and dense sand.To describe the density-and stress-dependent behaviors of sand,the J2-deformation type model with state-dependent dilatancy is adopted.The effectiveness of the model is demonstrated by element tests and biaxial compression tests.Afterwards,the pipe penetration process is simulated,and the numerical outcomes are compared with the physical model tests.The effects of pipe size and burial depth are investigated with an emphasis on the mobilization of the soil resistance and the failure mechanisms.The simulation results indicate that the bearing capacity formulas given in the guidelines can provide essentially reasonable estimates for the ultimate force acting on buried pipes,and the recommended value of yield displacement may be underestimated to a certain extent.

Study on the Horizontal Movement State of Suction Anchor Piles for Offshore Wind Power during Horizontal Pulling

The subsea anchor piles of offshore wind power floating platform structures are mainly subjected to uplift and horizontal loads, and this paper focuses on the case of horizontal loads. A three-dimensional numerical simulation study of the horizontal pullout characteristics of wind power suction anchor piles in clay layers was carried out to reveal the horizontal movement state of the anchor piles during horizontal pile pullout, the range of pile depth at the pullout point where the horizontal movement is achieved (referred to as the horizontal movement range), the relationship between the pullout load and the ultimate load during the horizontal movement, and the optimal location of the pullout point for the horizontal movement. The results show that at certain pull-out points, the anchor pile produces an overall horizontal movement state under suitable horizontal pull-out loads. The depth of the pile pull-out point for horizontal movement is in the middle and lower part of the pile, i.e. 14.2 m to 14.5 m. The horizontal pull-out load of 24,000 kN at a depth of 14.5 m within the pile horizontal movement range of 14.2m to 14.5 m is the maximum ultimate horizontal pull-out load;the optimum pull-out point depth is 14.5 m at 0.275 L (L is the pile length). For each pull-out point of the anchor pile in horizontal movement, the horizontal pull-out load in horizontal movement and the horizontal ultimate pull-out load existed and it was found that the two values were not exactly the same, the values were compared and it was found that at the optimum pull-out point the value of the ultimate horizontal pull-out load/horizontal pull-out load in horizontal movement tended to 1.

Radial point collocation method (RPCM) for solving convection-diffusion problems

In this paper, Radial point collocation method （RPCM）, a kind of meshfree method, is applied to solve convectiondiffusion problem. The main feature of this approach is to use the interpolation schemes in local supported domains based on radial basis functions. As a result, this method is local and hence the system matrix is banded which is very attractive for practical engineering problems. In the numerical examination, RPCM is applied to solve non-linear convection-diffusion 2D Burgers equations. The results obtained by RPCM demonstrate the accuracy and efficiency of the proposed method for solving transient fluid dynamic problems. A fictitious point scheme is adopted to improve the solution accuracy while Neumann boundary conditions exist. The meshfree feature of the nresent method is verv attractive in solving comnutational fluid nroblems.

Study on the offset of inflection point about probability function method

In this paper, rock mass is regarded as anisotropic clastic units and the partial differential equation of subsidence has been testified. The solution about homogeneous anisotropy has been obtained. The existence of inflection point offset in subsidence formula has been proved. Lastly, the relevant influence factors about the offset of inflection point have been simply discussed.

基于射频识别技术的笼养雏鸡运动监测研究

为了解笼养雏鸡的运动行为和健康状况,研究设计了一种基于射频识别技术(RFID)的笼养鸡个体实时运动监测系统。研究首先搭建了一个模拟的试验环境,其包括一个超高频的射频识别读写器,三个天线和若干标签,一台计算机以及射频识别读写软件;随后使用机器学习的方法拟合出当前环境下不同天线接收信号强度与距离之间的关系,并进行性能比较;通过对数据进行预处理,使用获得的距离模型计算出标签与不同天线之间的距离,使用多点定位计算出所建立坐标系下标签的位置信息,实现对不同标签的运动轨迹可视化。结果显示,选定的6个电子标签测试时间为30 min,标签的计算位置与真实位置的最小欧式误差距离为4.52 cm,所有测试点的平均误差距离为9.56 cm;对比标签的真实运动轨迹和计算运动轨迹,RFID监测系统能够动态地识别活动量减少或不活动的病鸡。研究表明,基于RFID建立的笼养鸡个体实时运动检测系统能够实时监测笼养鸡个体活动情况,为家禽健康监测和疾病预防提供技术支持。

一种基于径向基隐式曲面的地质三维建模方法

针对目前基于钻孔数据生成地质三维模型过程繁琐、算法复杂、中间数据庞大的弊端,本文使用钻孔点和径向基隐函数模型描述地层曲面,以多边形标量场提取曲面函数模型的等势面生成地质曲面进行可视化;再提取曲面的边框,根据网格大小长度提取边框的转折点数据;根据上下相邻两个地层曲面的边框转折点,绘制侧立面;合并侧立面与上下相邻两地质层曲面,生成地质三维模型。并使用郑州市高新区地质钻孔数据作为数据源进行实验,快速完整地生成了研究区的地质体三维模型。

从“浊气在上,则生月真胀”论夹脊穴治疗功能性腹胀

本研究基于对《黄帝内经》“浊气在上,则生[月真]胀”的分析阐释,认为功能性腹胀病机关键在于生理性浊气不归其位,日久生浊邪,使中焦气机升降失常。浊为阴邪,功能性腹胀属阴位疾病,与之相应,背部夹脊穴属阳位,具有借腹气街及任督循环多维联络腹部的功能,为调节腹部诸脏腑经脉气机之枢纽。基于此,笔者提出可从阳治阴,用经络诊察的方式,着重取与腹气街相应的T11~L5夹脊穴区的病证反应点,以散局部有形浊邪;再基于督脉-夹脊穴-足太阳膀胱经三者特殊的位置关系,取夹脊穴通调任督与脏腑之气,整体复升降以还浊气,调阴阳之失衡,解除机体因“浊气在上”而生腹胀的病理状态,以期对针灸临床治疗功能性腹胀提供思路。

工程监理实施细则的编制与执行探讨

工程监理实施细则是施工阶段监理工作的操作性文件。论文介绍编制监理实施细则的依据,分析工程监理实施细则存在的普遍问题,如工程监理实施细则针对性不强,监理实施细则质量不高,监理实施细则交底不透等,探讨监理实施细则编制与实施的具体要点和策略。

基于数据挖掘技术探究针刺治疗小脑共济失调的选穴规律

【目的】应用数据挖掘技术探究针刺治疗小脑共济失调的选穴规律。【方法】以针刺治疗小脑共济失调的相关文献为检索内容,计算机检索中国知网期刊全文数据库(CNKI)、中国生物医学文献数据库(SinoMed)、万方学术期刊全文数据库(Wanfang)、维普中文科技期刊数据库(VIP)、美国生物医学信息检索系统(PubMed)等各大数据库。将文献中符合条件的腧穴录入Microsoft Excel 2021软件表格内,建立针刺治疗小脑共济失调的腧穴频次频率、归经、特定穴、分布部位等信息的数据库。采用SPSS Modeler 18.0 Apriori算法、SPSS Statistics 25.0及SPSS modeler 18.0 Web复杂网络对纳入的处方腧穴进行关联规则分析、Ward聚类分析并绘制树状图及高频腧穴与核心处方的Web网络图。【结果】(1)共收录文献93篇,其中,针刺处方117条,穴位172个,穴位使用总频次1199次;(2)腧穴使用频数位居前10位的分别是风池、足三里、合谷、百会、三阴交、太冲、曲池、阳陵泉、完骨、天柱;(3)使用频数位于前5位的经脉分别是足少阳胆经、督脉、足阳明胃经、手阳明大肠经、足太阳膀胱经;(4)腧穴使用部位选择主要以头面颈项部及下肢部为主;(5)特定穴的使用频数最高的是交会穴;(6)针刺治疗小脑共济失调的高频穴位是风池-完骨、风池-天柱和风池-天柱-完骨。前31位高频腧穴(频率>10次)可分为9个有效聚类群。【结论】针刺治疗小脑共济失调形成了以“调神束骨,熄风止动”为主要治则,以远近配穴为主体的配伍规律,并重视多气多血之阳经的应用,呈现以风池-完骨-天柱为核心的基础穴位处方。

西部矿区深埋厚煤层采动覆岩离层发育规律数值模拟研究

为了丰富离层发育规律的研究方法,以石拉乌素矿221_上08工作面为对象,通过分布式光纤(BOTDR)及定点光纤对离层位置进行综合确定,结合颗粒流PFC^(2D)数值模拟,对大采高、大采深条件下采动覆岩离层发育规律进行研究。结果表明:随着工作面推进,离层空间在关键层底部自下而上向主关键层底部发育,离层发育埋深在440、396、376、331、321、296 m附近,层位止于粗砂岩主关键层底部;覆岩运移主要经历下位关键层沉降、上位亚关键层快速沉降、向粗砂岩主关键层底部发展、主关键层运移阶段;离层层位与工作面推进距离呈正比,且离层发育主要分为孕育(Ⅰ)-加速扩容(Ⅱ)-压密阶段(Ⅲ)3个阶段。

粗纱物理特性对环锭纺细纱机后区牵伸效果影响

为探究粗纱在细纱后区的形态变化和粗纱物理特性能对细纱后区牵伸效果的影响,以不同粗纱定量、捻度和纤维长度的粗纱为例,分析粗纱截面纤维分布、粗纱定量和捻度等物理特性对粗纱拉伸强力影响、粗纱须条在牵伸区的变化以及基于等长切断称重法分析牵伸效果。结果表明:在牵伸过程中粗纱须条截面从圆形变成扁平带状后又恢复成一定紧密度的类圆形;粗纱定量为450 g/(10 m),捻度为4.01和4.48捻/m的粗纱力学性能好,利用粗纱捻回产生的附加摩擦力界能有效控制纤维的运动,牵伸区内纤维变速点集中,牵伸效果好;大定量粗纱受罗拉胶辊差速影响易发生纤维分层,纤维变速点分散,需加大罗拉钳口压力予以改善;后区牵伸倍数在1.10~1.36倍以内,有利于牵伸稳定。

船舶移动路径三维动态场景重建仿真

为保障船舶移动过程中的安全性,提出船舶移动路径三维动态场景重建方法。船舶航行过程中,通过相机等视觉传感器在未知环境下连续获取船舶移动路径图像;采用基于ORB特征提取的算法提取船舶移动路径图像内的特征点,根据汉明距离进行特征点匹配;通过对极几何解算特征点匹配结果获取相机的位姿信息;采用基于特征相关性筛选的关键帧选取机制获取全部关键帧,通过关键帧的点云拼接实现船舶移动路径三维动态场景重建。仿真结果显示,该方法不仅能够有效实现特征点匹配,且正确匹配率达到97%以上,三维场景重建结果的均方误差控制在0.2以下,结构相似性始终高于95%。

论中国国际关系学的三次历史转向

中国国际关系学创立于旧中国,但只有在中华人民共和国成立以后,才真正开始和国家发展的历史进程同频共振。中国国际关系学在新中国成立后,开始了第一次历史转向,其最大的特征是以“国际共运史”为主流;改革开放后开始了第二次历史转向,其最大特征是“回归”西方话语体系的国际关系学本体;世纪之交,国际格局急剧变化,全球治理理念和新型国际关系理念符合时代需求,成为中国国际关系学的第三次转向目标,也应该是世界国际关系学的方向。

网球专家对截击球落点预判的优势特征分析:眼动证据

目的:截击技术作为网球教学与训练中的一项重要技术,集中体现了网球制胜四个维度中的“快”与“变”,是网球比赛中的一项重要得分手段。在网球比赛中截击球飞行距离短,对运动员预判截击球落点的视觉搜索能力有更高的要求。以运动认知心理学为视角,通过比较两组被试在相同信息量的情境下对网球截击球落点预判的视觉搜索差异,以揭示网球专家在预判过程中的优势,为网球截击技术的教学与训练提供参考。方法:以运动认知心理学为视角,采取专家-新手研究范式和眼动记录法及时间遮蔽技术。专家组选取15名网球二级运动员,经验组选取具有两三年网球基础的15名大学生。在比较专家组与经验组对截击球落点预判的行为和眼动特征的基础上,找出网球专家的预判优势特征。结果:(1)专家组反应时显著低于经验组,准确率显著高于经验组。(2)专家组首注视时间显著低于经验组,瞳孔直径显著小于经验组,注视蜂群图相对集中。在关键兴趣区的注视时间显著高于经验组,专家组重点关注球拍与本方球员两大兴趣区信息。结论:(1)与具有一定网球基础的大学生相比,网球专家的预判行为具有准确率高与反应速度快的优势,说明网球专家预判截击球落点具有明显的行为优势;(2)与具有一定网球基础的大学生相比,网球专家的信息搜索与加工能力具有初始表征能力强、心理负荷小、专注于关键信息的提取等优势,说明竞赛经验丰富的网球专家对于运动信息的搜索与加工具有更高效的优势。