COMPARATIVE STUDY ON FATIGUE PROPERTIES OF WHEEL MATERIALS CONTAINING INCLUSIONS AND SHRINKAGE DEFECTS (MT) by WANG ZhaoHan, XU Tian, ZENG DongFang, LU LianTao

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Discrete versus continual description of solid state reaction dynamics from the angle of meaningful simulation by A. Korobov

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Energy efficient optimal sink position selection algorithm for wireless sensor networks by TANG Wei, GUO Wei

Subjects: “…shortest path tree tessellation…”
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Geographic based maximum lifetime routing in data aggregated wireless sensor networks with multiple base stations by TANG Wei, GUO Wei

“…Network lifetime maximization in data-aggregated wireless sensor networks with multiple base stations by using geographic routing scheme was studied.To reduce the transmission overhead and avoid routing loops,home base station set potential descendent（HBSPD） algorithm was proposed,and linear programming method was used to optimize the network lifetime.Geographic location based multiple base station tessellation（GLMBST） algorithm was presented,and subgradient method was adopted to design the distributed algorithm.Performances of the proposed algorithms were verified by simulation experiments.…”
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Hexagrid-Voronoi transition in structural patterns for tall buildings by elena mele, massimiliano fraldi, Gian Maria Montuori, gianpaolo perrella, vincenzo della vista

“…The idea is to explore the mechanical properties of selected non-conventional structural patterns, in the form of both regular (Hexagrid) and irregular (Voronoi tessellation inspired) arrays, in order to assess their actual applicability in tall building design. …”
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Hexagrid-Voronoi transition in structural patterns for tall buildings by Elena Mele, Massimiliano Fraldi, Gian Maria Montuori, Gianpaolo Perrella, Vincenzo Della Vista

“…The idea is to explore the mechanical properties of selected non-conventional structural patterns, in the form of both regular (Hexagrid) and irregular (Voronoi tessellation inspired) arrays, in order to assess their actual applicability in tall building design. …”
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Maxwell origami tube by Rinki Imada, Tomohiro Tachi

“…Here, we construct a 1D Maxwell lattice with tunable DOFs, termed the Maxwell origami tube, by closing a triangulated origami tessellation, which is a 2D Maxwell lattice. In topological mechanics, the infinitesimal deformation modes of uniformly configured Maxwell lattices are classified into edge and bulk modes. …”
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Comparative Analysis of the Accuracy of Six Intraoral Scanners Using a Full-Arch Model by Münir Demirel, Faruk Emir, Gülsüm Ceylan, Almira Ada Diken Türksayar

“… Objective: This in vitro study aimed to evaluate the scan accuracy of 6 intraoral scanners (IOSs) by using a dentate model.Methods: A maxillary dentate reference model was digitized with an industrial-grade blue light optical scanner to generate a reference standard tessellation language (STL) file. The same model was digitized by using 6 IOSs (Trios 4, Trios 3, Primescan, Omnicam, Planmeca Emerald S, and Medit i700) (n=10) to generate test scan STLs. …”
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Comparative Analysis of Adaptation of Conventional and Printable Complete Denture Bases to the Underlying Casts - An In vitro Stereomicroscopic Study by Divyansh Sinha, Keerthi Sasanka Lakkoji, Nadhirah Faiz

“…Conventional denture bases were fabricated by adapting wax of 2 mm thickness which was subsequently processed whereas 3D printed bases were designed and the standard tessellation language (STL) files were used to print the denture bases. …”
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Analysis of Springback Behaviour in Micro Flexible Rolling of Crystalline Materials by Feijun Qu, Zhengyi Jiang, Xiaogang Wang, Cunlong Zhou

“…The model predictions show a reasonable agreement with the experimental measurements and have proven to be more accurate than those obtained from the conventional multilinear isotropic hardening model in combination with the Voronoi tessellation technique. In addition, the variation of thickness directional springback along with the scatter effect is compared and analysed in regard to the average grain size utilising both qualitative and quantitative approaches in respect of distinct types of data at different reductions.…”
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Generation of an optimal triangulated irregular network for topographic surface via optimal transport theory by Feng Li, Haihong Zhu, Wei Li, Chengcheng Liu, Jianfang Ma, Lin Li

“…This study proposed a novel curvature-based geodesic centroidal Voronoi tessellation method for generating a topographic triangulated irregular network (TIN) DEM based on optimal transport theory. …”
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Comparison of the accuracy of implant impression by conventional open-tray and digital techniques by Joanna Majid Hayder, Fahd Sudad Ikram

“…All the models have been saved as standard tessellation language files and converted from 3- Dimensional to 2-Dimensional to calculate the distances between the center of the implants, and the implant angulations measurements by both design programs sketch up, and Auto CAD. …”
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Evaluation of Internal and Marginal Accuracy (Trueness and Precision) of Laminates Using DLP Printing and Milling Methods by Mijun Noh, Habin Lee, Wansun Lee, Jaehong Kim, Jihwan Kim

“…An anatomical zirconia laminate was designed using computer-aided design (CAD) software and saved in a standard tessellation language (STL) format. Thirty zirconia laminates were manufactured using a milling machine (MLL group) and a DLP printer (PTL group). …”
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Effect of different post-processing conditions on the accuracy of liquid crystal display-printed orthognathic surgical splints by Siripatra Patchanee, Pokpong Amornvit, Maneethip Mortin, Narissaporn Chaiprakit

“…Materials and methods: An LCD 3D printer was used to create 48 surgical splints using the same reference standard tessellation language (STL) files. They were randomly assigned to two experimental studies. …”
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Image inpainting forensics method based on dual branch network by Dengyong ZHANG, Huang WEN, Feng LI, Peng CAO, Lingyun XIANG, Gaobo YANG, Xiangling DING

“…Image inpainting is a technique that uses information from known areas of an image to repair missing or damaged areas of the image.Image editing software based on it has made it easy to edit and modify the content of digital images without any specialized foundation.When image inpainting techniques are used to maliciously remove the content of an image, it will cause confidence crisis on the real image.Current researches in image inpainting forensics can only effectively detect a certain type of image inpainting.To address this problem, a passive forensic method for image inpainting was proposed, which is based on a two-branch network.The high-pass filtered convolutional network in the dual branch first used a set of high-pass filters to attenuate the low-frequency components in the image.Then features were extracted using four residual blocks, and two transposed convolutions were performed with 4x up-sampling to zoom in on the feature map.And thereafter a 5×5 convolution was used to attenuate the tessellation artifacts from the transposed convolutions to generate a discriminative feature map on the high-frequency components of the image.The dual-attention feature fusion branch in the dual branch first added a local binary pattern feature map to the image using a preprocessing block.Then the dual-attention convolution block was used to adaptively integrate the image’s local features and global dependencies to capture the differences in content and texture between the inpainted and pristine regions of the image.Additionally, the features extracted from the dual-attention convolution block were fused, and the feature maps were up-sampled identically to generate the discriminative image content and texture on the feature maps.The extensive experimental results show the proposed method improved the F1 score by 2.05% and the Intersection over Union(IoU) by 3.53% for the exemplar-based method and by 1.06% and 1.22% for the deep-learning-based method in detecting the inpainted region of the removed object.Visualization of the results shows that the edges of the removed objects can be accurately located on the detected inpainted area.…”
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Physical-aware model accuracy estimation for protein complex using deep learning method by Haodong Wang, Meng Sun, Lei Xie, Dong Liu, Guijun Zhang

“…Given the input protein complex model, the residue-based contact area and orientation features were first constructed using Voronoi tessellation, representing the potential physical interactions and hydrophobic properties. …”
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Comparison of the dimensional accuracy of two polyvinyl siloxane putty-wash techniques and digital impressions for single implants adjacent to tooth crown preparations by Hamidreza Rajati Haghi, Hossein Dashti, Saeid Sabzevari, Amineh Khoshbakhti, Alireza Dankoub

“…A laboratory scanner generated a standard tessellation language (STL) file as the reference for comparisons. …”
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Discovering Large-scale Structure at 2 < z < 5 in the C3VO Survey by Denise Hung, Brian C. Lemaux, Olga Cucciati, Ben Forrest, Ekta A. Shah, Roy R. Gal, Finn Giddings, Derek Sikorski, Emmet Golden-Marx, Lori M. Lubin, Nimish Hathi, Giovanni Zamorani, Lu Shen, Sandro Bardelli, Letizia P. Cassarà, Gabriella De Lucia, Fabio Fontanot, Bianca Garilli, Lucia Guaita, Michaela Monika Hirschmann, Kyoung-Soo Lee, Andrew B. Newman, Vandana Ramakrishnan, Daniela Vergani, Lizhi Xie, Elena Zucca

“…As we previously accomplished with the ORELSE survey, we apply our technique known as Voronoi tessellation Monte Carlo (VMC) mapping to search for serendipitous galaxy overdensities at 2 <  z  < 5 in the three C3VO fields. …”
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Degree-Based Entropy for a Non-Kekulean Benzenoid Graph by Md. Ashraful Alam, Muhammad Usman Ghani, Muhammad Kamran, Muhammad Shazib Hameed, Riaz Hussain Khan, A. Q. Baig

“…Tessellations of kekulenes and cycloarenes have a lot of potential as nanomolecular belts for trapping and transporting heavy metal ions and chloride ions because they have the best electronic properties and pore sizes. …”
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CHAT: Clustered hierarchical key management for wireless sensor networks using network topology by Dimitris Tsitsipis, Anthony Tzes, Stavros Koubias

“…CHAT exploits topological network information to reduce rekeying costs and tessellates the network into topological clusters, to further localize rekeyings, leading to greater rekeying cost reductions. …”
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