Study on the Points Needing Attention in Aerobics Training of Junior College Students

With the continuously increasing competition in the modern society, the learning pressure of students is getting greater and greater and many students are in shortage of reasonable time to take physical exercises so that they are in a state of sub-health for a long time. Aerobics, as a combination of music and sports, has been more and more popular among teachers and students. However, in aerobics training, the injuries to the physical bodies of students will be caused due to the improper training methods. Therefore, in this paper, the points needing attention in aerobics training is studied, and then scientific aerobics training methods are proposed.

An Interpretation of Points of View in A Thousand Splendid Suns

As the second bestseller of Khaled Hosseini' s novels that spread all over the world,A Thousand Splendid Suns embodies the quite impressive and infective writing techniques and narrative power of its writer and it also shows the unique language style of Hosseini.This paper gives an explanation of the narrative point of view and analyses the specific examples in the text.Through deepening the transition of third-person point of view between the two characters,the paper demonstrates its stylistic effects in arranging the textual structure as well as building the characters,thus deepen the theme of the whole story.

On the Points of View Used in Mansfield' s “Miss Brill”

Point of view has been a big playground for study in fiction for about a century.Mansfield' s "Miss Brill" is featured by its successful use of points of view.This paper will discuss how Mansfield' s choice of a particular point of view helps to communicate the central theme of the story.

Health Providers’ Points of View on the Impact of the Project to Strengthen the Expanded Program of Routine Vaccination from 2014 to 2018 in the Barumbu Health Zone in Kinshasa, Democratic Republic of Congo

According to the World Health Organization, approximately 3 million deaths are prevented each year in the world thanks to vaccination and then, in addition, each year, it makes it possible to avoid nearly 750,000 children suffering from serious physical, mental or neurological handicaps and 1.5 million other deaths could be avoided if the vaccination coverage is improved. However, vaccination coverage is often not achieved due to various difficulties encountered by health providers in the expanded program on vaccination activities. Yet, it is important to strengthen the program. This research paper aimed to assess health providers’ points of view on the impact of the project to strengthen the routine expanded program on vaccination in the Barumbu health zone in Kinshasa, Democratic Republic of Congo (RDC). To do so, we surveyed a convenience sample of 234 health providers involved in the implementation of the project, including 210 community relays, 9 permanent nurses, 9 health committee chairpersons and 6 health authorities. A questionnaire related to the objective of the research was submitted to them. After analyzing the data, we found that the points of view of health providers are negative. The performance of the vaccination program was not great. Several reasons were given for this, including the non-involvement of the political and administrative authorities, the failure to respect the funds disbursement circuit and the non-effective financing of vaccination activities in the Barumbu health zone in Kinshasa, DRC.

Overview of 3D Scene Viewpoints evaluation method

The research on 3D scene viewpoints has been a frontier problem in computer graphics and virtual reality technology.In a pioneering study,it had been extensively used in virtual scene understanding,image-based modeling,and visualization computing.With the development of computer graphics and the human-computer interaction,the viewpoint evaluation becomes more significant for the comprehensive understanding of complex scenes.The high-quality viewpoints could navigate observers to the region of interest,help subjects to seek the hidden relations of hierarchical structure,and improve the efficiency of virtual exploration.These studies later contributed to research such as robot vision,dynamic scene planning,virtual driving and artificial intelligence navigation.The introduction of visual perception had The introduction of visual perception had contributed to the inspiration of viewpoints research,and the combination with machine learning made significant progress in the viewpoints selection.The viewpoints research also has been significant in the optimization of global lighting,visualization calculation,3D supervising rendering,and reconstruction of a virtual scene.Additionally,it has a huge potential in novel fields such as 3D model retrieval,virtual tactile analysis,human visual perception research,salient point calculation,ray tracing optimization,molecular visualization,and intelligent scene computing.

Point cloud upsampling generative adversarial network based on residual multi-scale off-set attention

Background Owing to the limitations of the working principle of three-dimensional(3D) scanning equipment, the point clouds obtained by 3D scanning are usually sparse and unevenly distributed. Method In this paper, we propose a new generative adversarial network(GAN) that extends PU-GAN for upsampling of point clouds. Its core architecture aims to replace the traditional self-attention(SA) module with an implicit Laplacian offset attention(OA) module and to aggregate the adjacency features using a multiscale offset attention(MSOA)module, which adaptively adjusts the receptive field to learn various structural features. Finally, residual links are added to create our residual multiscale offset attention(RMSOA) module, which utilizes multiscale structural relationships to generate finer details. Result The results of several experiments show that our method outperforms existing methods and is highly robust.

Point Cloud Classification Network Based on Graph Convolution and Fusion Attention Mechanism

The classification of point cloud data is the key technology of point cloud data information acquisition and 3D reconstruction, which has a wide range of applications. However, the existing point cloud classification methods have some shortcomings when extracting point cloud features, such as insufficient extraction of local information and overlooking the information in other neighborhood features in the point cloud, and not focusing on the point cloud channel information and spatial information. To solve the above problems, a point cloud classification network based on graph convolution and fusion attention mechanism is proposed to achieve more accurate classification results. Firstly, the point cloud is regarded as a node on the graph, the k-nearest neighbor algorithm is used to compose the graph and the information between points is dynamically captured by stacking multiple graph convolution layers;then, with the assistance of 2D experience of attention mechanism, an attention mechanism which has the capability to integrate more attention to point cloud spatial and channel information is introduced to increase the feature information of point cloud, aggregate local useful features and suppress useless features. Through the classification experiments on ModelNet40 dataset, the experimental results show that compared with PointNet network without considering the local feature information of the point cloud, the average classification accuracy of the proposed model has a 4.4% improvement and the overall classification accuracy has a 4.4% improvement. Compared with other networks, the classification accuracy of the proposed model has also been improved.

跨学科视野下对Point of View的重新界定

在西方叙事作品研究界,“point of view”自20世纪初以来一直是一个核心概念和热门话题。叙事学和文体学都十分关注这一话题。表面上看,两个学派对“point of view”进行了大致相同的探讨,而实际上两者在理念和路径上各行其道且相互排斥。叙事学界在探讨“point of view”时,将其囿于观察者的感知(区分“谁说”和“谁感知”),这种自我限制不合情理。与此相对照,文体学在探讨“point of view”时,聚焦于叙述者(说话者)的立场态度,这种自我限制也造成了很大问题。这两个学派在探讨“point of view”时各自的片面性以及相互之间的排他性还导致了不少理论上的混乱。这也对国内的研究造成了影响。本文在指出以往问题的基础上,对“point of view”提出切合实际的新的界定,旨在通过这一新的界定帮助推进理论探讨的发展并促进跨学科研究,以便对叙事作品进行更好、更为全面的分析。

Multiple Point of View as a Deconstructing Strategy——A Poststructuralist Perspective on Lord Jim

Joseph Conrad's Lord Jim ranks among the modern novels not for its story,but for its unconventional narrative strategies of the comparatively simple plot,especially its employment of multiple point of view as a deconstructing strategy,rendering the text incapable of unambiguous interpretation.The only possible way for the reader to understand it is by active participation,finding out the thread of logic in the chaotic psyche of the multiple narrators.

基于改进PointNet++的输电线路关键部位点云语义分割研究

输电线路的关键部位包括塔身、导线、绝缘子、避雷线以及引流线,无人机精细化导航的首要任务是构造输电线路的点云地图并从中分割出上述部位。为解决现有算法在输电线路的绝缘子、引流线等精细结构分割时精度低的问题,通过改进PointNet++算法,提出了一种面向输电线路精细结构的点云分割方法。首先,基于无人机机载激光雷达在现场采集的点云数据,构造了输电线路点云分割数据集;其次,通过对比实验,筛选出在本输电线路场景下合理的数据增强方法,并对数据集进行了数据增强;最后,将自注意力机制以及倒置残差结构和PointNet++相结合,设计了输电线路关键部位点云语义分割算法。实验结果表明:该改进PointNet++算法在全场景输电线路现场点云数据作为输入的前提下,首次实现了对引流线、绝缘子等输电线路中精细结构和导线、杆塔塔身以及输电线路无关背景点的同时分割,平均交并比(mean intersection over union,mIoU)达80.79%,所有类别分割的平均F_(1)值(F1 score)达88.99%。

Point Cloud Classification Using Content-Based Transformer via Clustering in Feature Space

Recently, there have been some attempts of Transformer in 3D point cloud classification. In order to reduce computations, most existing methods focus on local spatial attention,but ignore their content and fail to establish relationships between distant but relevant points. To overcome the limitation of local spatial attention, we propose a point content-based Transformer architecture, called PointConT for short. It exploits the locality of points in the feature space(content-based), which clusters the sampled points with similar features into the same class and computes the self-attention within each class, thus enabling an effective trade-off between capturing long-range dependencies and computational complexity. We further introduce an inception feature aggregator for point cloud classification, which uses parallel structures to aggregate high-frequency and low-frequency information in each branch separately. Extensive experiments show that our PointConT model achieves a remarkable performance on point cloud shape classification. Especially, our method exhibits 90.3% Top-1 accuracy on the hardest setting of ScanObjectN N. Source code of this paper is available at https://github.com/yahuiliu99/PointC onT.

PCT和PointMLP融合的三维点云分类算法研究

为了提高三维点云数据的分类准确率,对注意力机制的PCT与残差点MLP的PointMLP的融合算法进行研究。首先,加入几何仿射模块对输入点云进行正态分布以解决点云的密度不均匀和几何结构不确定性;其次,在编码模块首先使用注意力机制对上层特征进行全局表达,之后加入残差点MLP模块对注意力模块的输出特征进行深度特征表示以充分提取点云特征;最后是分类模块,完成下游点云分类任务。实验结果表明,改进后的算法在ModelNet40数据集上的分类准确率达到95.6%,相比PCT模型准确率提高了2.4%,且对点云数量的变化具有鲁棒性。

基于改进PointPillars的3D目标检测算法

针对自动驾驶场景下远距离及遮挡目标识别问题,对PointPillars算法进行了改进。引入了并行的空间注意力和通道注意力机制,增强了目标的位置信息及有用特征通道权重,提高了远距离目标的检测精度。在2D CNN骨干网络中引入了自适应空间特征融合模块,解决了特征拼接的信息丢失问题,提高了遮挡目标的检测精度。基于KITTI数据集在3种不同场景难度下分别对SECOND、PointPillars、改进PointPillars这3种算法进行了定量分析验证,并将改进的PointPillars算法进行可视化分析。定量分析表明,改进PointPillars算法在鸟瞰图模式下目标检测精度最大提升2.75%;在三维模式下目标检测精度最大提升2.93%;在AOS模式下目标检测精度最大提升4.05%,可视化结果表明改进的PointPillars算法能有效检测远距离及遮挡目标。

基于GCR-PointPillars的点云三维目标检测

针对PointPillars算法中存在识别与定位不准确的问题,提出一种GCR-PointPillars三维目标检测模型,该模型首先在Pillar特征网络中引入全局注意力机制,学习点云特征之间的相关性,增强伪图特征的全局信息交互能力;其次,基于ConvNeXt V2重新构建特征提取网络,提取更加丰富的语义信息,从而有效提升网络的学习能力;最后引入RDIoU来联合引导分类和回归任务,有效缓解分类和回归不一致的问题。文中模型在KITTI数据集中与基准网络相比,汽车类别在简单、中等、困难三种难度级别下分别提高了2.69%、4.29%、4.84%,并且推理速度达到25.8 f/s。实验结果表明,文中模型在保持实时性速度的同时,检测效果也有明显提升。

基于改进PointPillars的点云车辆目标检测

针对自动驾驶领域中,激光雷达获取的点云数据存在稀疏性以及边缘噪点误检等问题,提出一种基于改进PointPil-lars的点云车辆目标检测方法。首先,基于SimAM注意力机制改进体素化特征输入,使得网络特征提取阶段能更加关注关键信息,提高特征学习的全局性。其次,基于卷积块注意力模块(CBAM)改进骨干网络结构,提出全新的轻量化通道注意力模块Tiny-CAM和可变形空间注意力模块Deformable-SAM,构建Multi-CBAM骨干网络,提升网络特征提取及特征融合能力。在KITTI数据集以及非公开车库点云数据集上进行验证,实验结果表明,与原网络相比,改进PointPillars方法具有更高的检测精度,平均检测精度提升2.98%,针对遮挡小于30%的点云车辆目标检测精度提升6.51%,证明了该方法的有效性。

Waterpoint management system in central district with ArcView GIS

In Botswana water is the most precious natural resource and the government, through various institutions, is making an attempt to control the development and usage of this resource which is critical in all future development planning. Virtually all water used in rural areas is extracted from groundwater by means of wells and boreholes. Information on these water points, together with other surface sources, play an important role in regional economic development. An attempt, using the available water points data and Arc View GIS software, has been made to build a Water Point Management System in Central District (WPMSCD), which has already been used by the local authorities to answer day-to-day inquiries related to water points in the District.

Fight Against Poverty From the Islamic Point of View： The Wealth Distribution and Share

Today, poverty is one of the most important problems in the world. This is not only the problem of poor people living in specific regions but also the problem of all people in general. Poverty is expected to decrease as the welfare level increases. The World Bank predicts that extreme poverty will disappear until 2030 but mentions significant hesitations in achieving this objective. Even though extreme poverty will have actually disappeared in 2030, the deep gap between the richest 20% and the poorest 20% will continue to maintain its presence. There are many reasons for poverty arising from individuals such as illiteracy, inexperience, and laziness. However, there are many reasons for poverty beyond the individual such as the management of the capital by a small group of people. While the capital continuously increases under the control of a narrow group, poor community deprived of increasing welfare benefits from it slightly and too late. In this case, the solutions that individuals striving to live below the poverty line can find on their own in order to keep alive remain quite limited. Islam has a shorter term solution for welfare share： Transferring a small amount of high-income group’s wealth to the low-income group. Through this worship called zakat, it is aimed to rid poor people of desperation. It is not theoretically impossible todevelop a method to reduce income inequality by taking the worship of zakat as a model.

Child’s Point of View vs.Adult’s in Melville’s Early Two Stories

This paper aims to study the functions of two different points of view from the perspective of narratology,namely,the point of view of the adult and the one of the child,in two of Herman Melville’s early stories.By contrasting these two functions of the different perspectives,the author of this paper draws the conclusion that the child has a unique and significant perspective in Melville’s works.

To Tell A “Plausible Story” through Constructing Different Narrative Point of Views in “Wide Sargasso Sea”

"Wide Sargasso Sea"is one of Jean Rhys' novella which appealed enormous research. Although many studies touched on different meanings from its narrative perspective, most of them illustrated from the aspect which mixed narrator and point of view. This study researched this novella from the perspective of point of view suggested by Prof. Shen Dan to decode author's method of telling a"plausible story".

Analysis on Oates' Tragic Artistic Point of View in Wonderland

Oates is reputed as a representative writer of"psychological realism".Wonderland is one of her most representative novels of in the 1970 s.The author of the thesis tentatively analyzes Oates' tragic artistic point of view,hoping to contribute to the studies on Oates' artistic point of view and her works.