due to the high price of virgin vegetable oils and the drawbacks of the homogeneous catalytic transesterification, in this work an economically profitable alternative process was proposed for biodiesel synthesis in which transesterification of the low-cost waste cooking oil (wco) with methanol in a heterogeneous system was done. alumina impregnated with sodium hydroxide was utilized as a solid ...

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In this paper we present an out-of-core editing system for point clouds, which allows selecting and modifying arbitrary parts of a huge point cloud interactively. We can use the selections to segment the point cloud, to delete points, or to render a preview of the model without the points in the selections. Furthermore we allow for inserting points into an already existing point cloud. All oper...

This paper presents Point Convolutional Neural Networks (PCNN): a novel framework for applying convolutional neural networks to point clouds. The framework consists of two operators: extension and restriction, mapping point cloud functions to volumetric functions and viseversa. A point cloud convolution is defined by pull-back of the Euclidean volumetric convolution via an extensionrestriction ...

Exploiting global factors and embedding them directly into local graphs in point clouds are challenging due to dense points irregular structure. To accomplish this goal, we propose a novel end-to-end trainable graph attention network that extracts features terms of graphs. Our presents general graph, which obtains the most fundamental based on order positions different neighborhoods. Central is...

Abstract In order to limit the interference of cloud noise on ground scene information, detection has been a hot issue in research remote sensing image processing. Cloud labels clouds images at pixel level. The majority early systems rely manually created feature and threshold segmentation with limited generalizability. Remote based deep learning improved accuracy speed thanks quick development...

The generative adversarial network (GAN) has recently emerged as a promising model. Its application in the image field been extensive, but there little research concerning point clouds.The combination of GAN and graph convolutional state-of-the-art method for generating clouds. However, is significant gap between generated cloud used training. In order to improve quality cloud, this study propo...