This article deals with the issue of identification and quantification of uncertainty components in shielding effectiveness measurements carried out in accordance with the standard EN 50147-1. It describes problems ac...
详细信息
The phenomenon of amplitude modulation has been subject of numerous scientific studies [1-4]. However, the problem remains of determining the depth of AM's impact on the increase in annoyance of wind turbine noise...
详细信息
The deadly respiratory disease corona virus-2 (COVID-19) which was declared a pandemic by the World Health Organization (WHO) has resulted in over a million deaths around the world within less than a year. With the ra...
详细信息
Continued adoption of agricultural robots postulates the farmer's trust in the reliability, robustness and safety of the new technology. This motivates our work on safety assurance of agricultural robots, particul...
详细信息
Stride length estimation is a problem in pedestrian dead reckoning. Accurate stride length is important since it yields precise pedestrian localization. This paper presents a new method to estimate stride length by us...
详细信息
Recent public perceptions indicate a positive shift towards a society with human and robot co-existing, especially aged populations. The ability to socially navigate become crucial for mobile robots by enabling them t...
详细信息
With the help of plane geometric algebra, we see volumetric errors as pure geometric objects. We use this identification to expand errors with respect to Abbe's principle into the whole working space with respect ...
详细信息
In recent years,semantic segmentation on 3D point cloud data has attracted much *** 2D images where pixels distribute regularly in the image domain,3D point clouds in non-Euclidean space are irregular and inherently *...
详细信息
In recent years,semantic segmentation on 3D point cloud data has attracted much *** 2D images where pixels distribute regularly in the image domain,3D point clouds in non-Euclidean space are irregular and inherently ***,it is very difficult to extract long-range contexts and effectively aggregate local features for semantic segmentation in 3D point cloud *** current methods either focus on local feature aggregation or long-range context dependency,but fail to directly establish a global-local feature extractor to complete the point cloud semantic segmentation *** this paper,we propose a Transformer-based stratified graph convolutional network(SGT-Net),which enlarges the effective receptive field and builds direct long-range ***,we first propose a novel dense-sparse sampling strategy that provides dense local vertices and sparse long-distance vertices for subsequent graph convolutional network(GCN).Secondly,we propose a multi-key self-attention mechanism based on the Transformer to further weight augmentation for crucial neighboring relationships and enlarge the effective receptive *** addition,to further improve the efficiency of the network,we propose a similarity measurement module to determine whether the neighborhood near the center point is *** demonstrate the validity and superiority of our method on the S3DIS and ShapeNet *** ablation experiments and segmentation visualization,we verify that the SGT model can improve the performance of the point cloud semantic segmentation.
Finding an optimal profile for rollers is essential when designing rolling bearings. This optimal profile should result in reduced stress levels and increased longevity of the bearing under various loading conditions....
详细信息
In this paperwork is presented a study of dissimilar welding with FCAW welding process, between duplex stainless steel S31803 (1.4462) and naval carbon steel EH36 (1.0546), being analyzed all the considerations relate...
详细信息
暂无评论