We present MV2Cyl, a novel method for reconstructing 3D from 2D multi-view images, not merely as a field or raw geometry but as a sketch-extrude CAD. Extracting extrusion cylinders from raw 3D geometry has been extensively researched in computer vision, while the processing of 3D data through neural networks has remained a bottleneck. Since 3D scans are generally accompanied by multi-view images, leveraging 2D convolutional neural networks allows these images to be exploited as a rich source for extracting extrusion cylinder information. However, we observe that extracting only the surface information of the extrudes and utilizing it results in suboptimal outcomes due to the challenges in the occlusion and surface segmentation. By synergizing with the extracted base curve information, we achieve the optimal reconstruction result with the best accuracy in 2D sketch and extrude parameter estimation. Our experiments, comparing our method with previous work that takes a raw 3D point cloud as input, demonstrate the effectiveness of our approach by taking advantage of multi-view images.

We proposed a linear oscillatory actuator for active vibration damping, which converts rotational motion into linear motion using a DC motor. In this study, we verified the vibration damping performance of the proposed actuator through simulations by coupling FEM with MATLAB/Simulink and experiments on a prototype.

Document Object Modeling (DOM) is widely used approach for retrieving data from an XML document. If the size of the XML document is very large, however, using the DOM approach for retrieving data from the XML document may suffer from a lack of memory space for building the associated XML tree in the main memory. To alleviate this problem, we propose a method that allows the very large XML document to be split into small XML documents, retrieves data from the XML tree built from each of these small XML documents, and combines the results from all of the n XML trees to generate the final result. With this proposed approach, the memory space and processing time required to retrieve data from the very large XML document using DOM are reduced so that they can be managed by one single general-purpose personal computer.