mesh generation
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Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 560
Author(s):  
Sofia Zahia ◽  
Begonya Garcia-Zapirain ◽  
Jon Anakabe ◽  
Joan Ander ◽  
Oscar Jossa Bastidas ◽  
...  

This papers presents a comparative study of three different 3D scanning modalities to acquire 3D meshes of stoma barrier rings from ostomized patients. Computerized Tomography and Structured light scanning methods were the digitization technologies studied in this research. Among the Structured Light systems, the Go!Scan 20 and the Structure Sensor were chosen as the handheld 3D scanners. Nineteen ostomized patients took part in this study, starting from the 3D scans acquisition until the printed ostomy patches validation. 3D mesh processing, mesh generation and 3D mesh comparison was carried out using commercial softwares. The results of the presented study show that the Structure Sensor, which is the low cost structured light 3D sensor, has a great potential for such applications. This study also discusses the benefits and reliability of low-cost structured light systems.


2022 ◽  
Author(s):  
Vivek Ojha ◽  
Guodong Chen ◽  
Krzysztof Fidkowski

2021 ◽  
Vol 17 (4) ◽  
pp. 84-94
Author(s):  
Egor I. Safonov ◽  
Oleg I. Sokolkov

The article describes the process of designing and creating a software environment that allows in automatic mode to create a realistic landscape. A review of existing approaches to landscape generation is carried out, which have a set of disadvantages taken into account when developing a software environment. A diagram of components and main classes is described. The developed subroutine that implements the polygon mesh generation algorithm provides an interface for creating and editing a mesh of hexagons on a plane, used for simplified work with biomes, as well as detailing the boundaries of polygons to give the landscape elements of randomness and, as a result, realism. The process uses the Diamond Square noise generation algorithm. The docking algorithm is designed to reduce the gaps between the heights of different biomes. The erosion algorithm uses particles generated on a height mapto carry soil particles in accordance with physical laws. The user interface of the application and the results of the algorithms are presented.


2021 ◽  
Vol 387 ◽  
pp. 114146
Author(s):  
Xiaopeng Zheng ◽  
Yiming Zhu ◽  
Wei Chen ◽  
Na Lei ◽  
Zhongxuan Luo ◽  
...  

2021 ◽  
Vol 8 (2) ◽  
pp. 109-114
Author(s):  
G. Fahim ◽  
Sameh Zarif ◽  
Khalid Amin
Keyword(s):  

2021 ◽  
Vol 386 ◽  
pp. 114104
Author(s):  
Teseo Schneider ◽  
Daniele Panozzo ◽  
Xianlian Zhou
Keyword(s):  

2021 ◽  
Vol 947 (1) ◽  
pp. 012007
Author(s):  
Viet. T. Tran ◽  
Yen. H.P. Duong ◽  
Tan M. Le

Abstract In the present study, we conduct the numerical simulation for solar greenhouse dryer performance by Ansys Fluent software. The numerical simulations compared the meshing strategies for the dryer and show the effects on both temperature distribution and relative humidity distribution of air inside the dryer. Unstructured meshes were used in the numerical simulation employing hexahedral meshing and tetrahedral meshing for mesh generation. The meshing strategies were evaluated through 2 size of cell i.e., 0.1 m and 0.05m. The results indicated that the size of cell have strong effect than the mesh type on the temperature profile and humidity of air inside the dryer. Thus, the results gave the engineers more options to select the optimum conditions for meshing and simulation the dryer.


2021 ◽  
Author(s):  
Hua Tong ◽  
Yong Ni

The quality of mesh generation has long been considered a vital aspect in providing engineers with reliable simulation results throughout the history of the Finite Element Method (FEM). The element extraction method, which is currently the most robust method, is used in business software. However, in order to speed up extraction, the approach is done by finding the next element that optimizes a target function, which can result in local mesh of bad quality after many time steps. We provide TreeMesh, a method that uses this method in conjunction with reinforcement learning (also possible with supervised learning) and a novel Monte-Carlo tree search (MCTS) (Coulom(2006), Kocsis and Szepesvári(2006), Browne et~al.(2012)). The algorithm is based on a previously proposed approach (Pan et~al.(2021)). After making many improvements on DRL (algorithm, state-action-reward setting) and adding a MCTS, it outperforms the former work on the same boundary. Furthermore, using tree search, our program reveals much preponderance on seed-density-changing boundaries, which is common on thin-film materials.


Author(s):  
Christos Tsolakis ◽  
Polykarpos Thomadakis ◽  
Nikos Chrisochoides

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