Results 51 to 60 of about 68,932 (207)

A node localization algorithm based on Voronoi diagram and support vector machine for wireless sensor networks

International Journal of Distributed Sensor Networks, 2021
For wireless sensor network, the localization algorithm based on Voronoi diagram has been applied. However, the location accuracy node position in wireless sensor network needs to be optimized by the analysis of the literature, a node location algorithm ...
Zhanjun Hao, Jianwu Dang, Yan Yan, Xiaojuan Wang   +3 more
doaj   +1 more source

Annealing‐Induced Plasticity and Strengthening in Metallic Glasses

Advanced Science, EarlyView.
This work challenges the dogma that annealing inevitably embrittles metallic glasses. We demonstrate that sub‐Tg annealing, guided by positive mixing enthalpy and constrained kinetics, can drive a self‐organized compositional fluctuation that creates an interface‐free heterogeneous structure.
Yingjie Zhang, Jinyue Wang, Leqing Liu, Yuan Wu, Yi‐huan Cao, Jiqi Yu, Zhen Tian, Zhichao Lu, Fengshou Li, Qiang Chen, Guosheng Zhang, Laiquan Shen, Yong Yu, Hui Wang, Suihe Jiang, Xiaobin Zhang, Xiongjun Liu, Zhaoping Lu   +17 more
wiley   +1 more source

Investigation of Voronoi diagram based Direction Choices Using Uni- and Bi-directional Trajectory Data

, 2018
In a crowd, individuals make different motion choices such as "moving to destination", "following another pedestrian", and "making a detour". For the sake of convenience, the three direction choices are respectively called destination direction ...
Chraibi, Mohcine, Gao, Ziyou, Qu, Yunchao, Tordeux, Antoine, Xiao, Yao   +4 more
core   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Emergent Form from Structural Optimisation of the Voronoi Polyhedra Structure [PDF]

, 2007
In the course of the exploration of computational means in the architectural design process, in order to investigate more complex, adaptive geometries, the Voronoi diagram has recently gained some attention, being a three-dimensional space-filling ...
Derix, C, Friedrich, E, Hanna, S
core  

Poissonian and non Poissonian Voronoi Diagrams with application to the aggregation of molecules

, 2009
The distributions that regulate the spatial domains of the Poissonian Voronoi Diagrams are discussed adopting the sum of gamma variate of argument two. The distributions that arise from the product and quotient of two gamma variates of argument two are ...
Abramowitz, Dicenzo, Drouffe, Feller, Ferenc, Glen, Hentschel, Hinde, Idrissi, Jedlovszky, Jedlovszky, Jerauld, Jerauld, Kiang, Korobov, Kumar, L. Zaninetti, Lee, Partay, Press, Ruocco, Sega, Springer, Tanemura, Tanemura, Tribelsky, Voronoi, Voronoi, Watson, Zaninetti, Zaninetti   +30 more
core   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Estudio comparativo de las técnicas de enmallado estático empleadas en simulación numérica de yacimientos

Revista Fuentes El Reventón Energético, 2007
In this paper was study different methods and techniques of gridding that have been implemented in the modelation of fluid flow in porous media, such as cartesian, cilindrical, curvilinear, hybrid, PEBI (Perpendicular Bisection) or Voronoi grids ...
Carlos Cesar Piedrahita Escobar, Elkin Rodolfo Santafe Rangel, Luis Sierra Suarez, Olga Patricia Ortiz Cancino   +3 more
doaj  

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Compact and Efficient Topological Mapping for Large-Scale Environment with Pruned Voronoi Diagram

Drones, 2022
Topological maps generated in complex and irregular unknown environments are meaningful for autonomous robots’ navigation. To obtain the skeleton of the environment without obstacle polygon extraction and clustering, we propose a method to obtain high ...
Yao Qi, Rendong Wang, Binbing He, Feng Lu, Youchun Xu   +4 more
doaj   +1 more source