Results 1 to 10 of about 63,827 (265)
A Hybrid 3D Indoor Space Model [PDF]
GIS integrates spatial information and spatial analysis. An important example of such integration is for emergency response which requires route planning inside and outside of a building. Route planning requires detailed information related to indoor and
A. Jamali, A. A. Rahman, P. Boguslawski
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Hypergraph modelling for geometric model fitting [PDF]
In this paper, we propose a novel hypergraph based method (called HF) to fit and segment multi-structural data. The proposed HF formulates the geometric model fitting problem as a hypergraph partition problem based on a novel hypergraph model. In the hypergraph model, vertices represent data points and hyperedges denote model hypotheses. The hypergraph,
Guobao Xiao +3 more
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Optimization of geometrical parameter for V-type alpha Stirling engine based on dimensionless analysis [PDF]
This paper aims to study the effect of mechanism and geometrical parameters on the shaft work of alpha-type Stirling engine with V-cylinder arrangement and find the appropriate value of geometrical parameters to get the maximum value of shaft work output.
Senviboon Varit +2 more
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Geometric models of Helium [PDF]
A previous paper [M. F. Atiyah and N. S. Manton, arXiv:1609.02816 ] modeled atoms and their isotopes by complex algebraic surfaces with the projective plane modeling Hydrogen. In this paper, models of the stable isotopes Helium-4 and Helium-3 are constructed.
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This paper proposes a scheme for imposing geometrical constraints in topology optimization for molding and milling so that optimal configurations that guarantee manufacturability can be obtained, based on the fictitious physical model. First, a level set-
Yuki SATO +3 more
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On the geometrical interpretation of scale-invariant models of inflation
We study the geometrical properties of scale-invariant two-field models of inflation. In particular, we show that when the field-derivative space in the Einstein frame is maximally symmetric during inflation, the inflationary predictions can be universal
Georgios K. Karananas, Javier Rubio
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To capture the inherent geometric features of many community detection problems, we propose to use a new random graph model of communities that we call a Geometric Block Model. The geometric block model generalizes the random geometric graphs in the same way that the well-studied stochastic block model generalizes the Erdös-Renyi random
Sainyam Galhotra +3 more
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Modeling Realistic Geometries in Human Intrathoracic Airways
Geometrical models of the airways offer a comprehensive perspective on the complex interplay between lung structure and function. Originating from mathematical frameworks, these models have evolved to include detailed lung imagery, a crucial enhancement ...
Francesca Pennati +2 more
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Detecting dynamical patterns in pedestrian bottlenecks Koopman-based quantification of crowd dynamics [PDF]
What properties characterize a bottleneck through which pedestrians are walking? Using Koopman theory, we analyze simulated bottleneck scenarios for their underlying geometrical components.
Kern Sabrina +2 more
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POPULATING A LIBRARY OF REUSABLE H-BOMS: ASSESSMENT OF A FEASIBLE IMAGE BASED MODELING WORKFLOW [PDF]
The paper shows the intermediate results of a research activity aimed at populating a library of reusable Historical Building Object Models (H-BOMs) by testing a full digital workflow that takes advantages from using Structure from Motion (SfM) models ...
C. Santagati +2 more
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