A fast algorithm for large-scale controlled rounding of 3-dimensional census tables

1997 ◽  
Vol 31 (1) ◽  
pp. 41-55
Author(s):  
Brendan J Ring ◽  
John A George ◽  
Chong Juin Kuan
Keyword(s):  
Fast Algorithm ◽  
Large Scale ◽  
3 Dimensional ◽  
Controlled Rounding

scholarly journals Versatile and Automated 3D Polydimethylsiloxane (PDMS) Patterning for Large-Scale Fabrication of Organ-on-Chip (OOC) Components

Proceedings ◽  
2018 ◽  
Vol 2 (13) ◽  
pp. 873
Author(s):  
Nikolas Gaio ◽  
Sebastiaan Kersjes ◽  
William Quiros Solano ◽  
Pasqualina Sarro ◽  
Ronald Dekker
Keyword(s):  
Large Scale ◽  
Silicon Wafers ◽  
Fabrication Process ◽  
Microfluidic Channels ◽  
3D Structures ◽  
3 Dimensional ◽  
Ic Packaging ◽  
Thin Membranes ◽  
On Chip

We present a reproducible process to directly pattern 3-Dimensional (3D) polydimethylsiloxane (PDMS) structures for Organ-on-Chips (OOC) via automated molding. The presented process employs a commercially available system from IC packaging improving the fabrication process for microfluidic channels and thin membranes, which are components frequently used in OOCs. The process removes the manual steps used previously in the fabrication of microfluidic channels and improves the control over the thickness of the PDMS layers. The process was also employed to fabricate and pattern thin PDMS membranes on silicon wafers, without the use of lithography and etching steps and in combination with 3D structures. The use of foil assisted molding techniques presented in this work is an important step toward the large-scale manufacturing of OOCs.

A fast algorithm for regularized focused 3D inversion of gravity data using randomized singular-value decomposition

Geophysics ◽  
2018 ◽  
Vol 83 (4) ◽  
pp. G25-G34 ◽  
Author(s):  
Saeed Vatankhah ◽  
Rosemary Anne Renaut ◽  
Vahid Ebrahimzadeh Ardestani
Keyword(s):  
Linear System ◽  
Singular Value Decomposition ◽  
Fast Algorithm ◽  
Large Scale ◽  
Gravity Data ◽  
Singular Values ◽  
Singular Value ◽  
System Matrix ◽  
Large Scale System ◽  
Value Decomposition

We develop a fast algorithm for solving the under-determined 3D linear gravity inverse problem based on randomized singular-value decomposition (RSVD). The algorithm combines an iteratively reweighted approach for [Formula: see text]-norm regularization with the RSVD methodology in which the large-scale linear system at each iteration is replaced with a much smaller linear system. Although the optimal choice for the low-rank approximation of the system matrix with [Formula: see text] rows is [Formula: see text], acceptable results are achievable with [Formula: see text]. In contrast to the use of the iterative LSQR algorithm for the solution of linear systems at each iteration, the singular values generated using RSVD yield a good approximation of the dominant singular values of the large-scale system matrix. Thus, the regularization parameter found for the small system at each iteration is dependent on the dominant singular values of the large-scale system matrix and appropriately regularizes the dominant singular space of the large-scale problem. The results achieved are comparable with those obtained using the LSQR algorithm for solving each linear system, but they are obtained at a reduced computational cost. The method has been tested on synthetic models along with real gravity data from the Morro do Engenho complex in central Brazil.

scholarly journals 3-Dimensional Particle-in-Cell Simulations of Spiral Galaxies

1990 ◽  
Vol 140 ◽  
pp. 143-150 ◽  
Author(s):  
A. L. Peratt ◽  
W. Peter ◽  
C. M. Snell
Keyword(s):  
Observational Data ◽  
Large Scale ◽  
Spiral Galaxies ◽  
Magnetized Plasma ◽  
Frequency Spectra ◽  
Particle In Cell ◽  
3 Dimensional ◽  
Long Time ◽  
Galaxy Model ◽  
Barred Spiral Galaxies

The advent of 3-dimensional, electromagnetic, and fully relativistic particle simulations allows a detailed study of a magnetized plasma galaxy model. When two such models are simulated, an interaction yielding results resembling observational data from double radio sources, including the emission of synchrotron radiation, are obtained. Simulation derived morphologies, radiation intensities, frequency spectra and isophote patterns are produced by the model which can be directly compared to observational data. Long time simulation runs (~109 years) show the evolution of barred spiral galaxies with large scale bisymmetric magnetic field distributions having 100μG field strengths.

Analysis of Massive Platform Concerte 3-Dimensional Hydration Heat of Corrugated Steel Webs Bridge

2012 ◽  
Vol 511 ◽  
pp. 3-7
Author(s):  
Jun Wang ◽  
Zi Qing Li ◽  
Xian Wu Hao
Keyword(s):  
Large Scale ◽  
Hydration Heat ◽  
Bridge Engineering ◽  
Foundation Engineering ◽  
Finite Element Method Analysis ◽  
Analysis Program ◽  
3 Dimensional ◽  
Massive Concrete ◽  
Bridge Foundation ◽  
Method Analysis

with the continuous development of bridge engineering，the massive concrete has been widely used in large-scale bridge foundation engineering. But it often has the problems of crack and deformation, which infuenced the entirety and durability of the whole structure seriously. In this paper, a hydration heat analysis of the platform of a corrugated steel webs bridge is carried out by using MIDAS/Civil structure finite element method analysis program, the analysis summarizes the temperature distribution regulation of platform concrete influenced by hydration heat and the temperature changing regulation affected by time. Meanwhile, some countermeasures of preventing the crack of concrete are put forward.

scholarly journals A study of the regular structure of the galactic magnetic field using WMAP5 polarization data at 22 GHz

2008 ◽  
Vol 4 (S259) ◽  
pp. 573-576 ◽  
Author(s):  
Beatriz Ruiz-Granados ◽  
J. A. Rubiño-Martín ◽  
E. Battaner
Keyword(s):  
Magnetic Field ◽  
Large Scale ◽  
Regular Structure ◽  
Distribution Functions ◽  
Likelihood Method ◽  
Galactic Magnetic Field ◽  
Polarization Data ◽  
3 Dimensional ◽  
Large Scale Magnetic Field ◽  
Parameter Values

AbstractWe study the spatial structure of the 3-dimensional large-scale pattern of the Galactic Magnetic Field using the polarization maps obtained by the WMAP satellite at 22 GHz. By using five different models of the large-scale magnetic field of the Milky Way and a model for the cosmic rays distribution, we predict the expected polarized synchrotron emission. Those maps are compared to the observed 22 GHz polarization data using a Maximum Likelihood method. For each model, we obtain the parameter values which better reproduce the data and obtain their marginal probability distribution functions. We find that the model that best reproduces the observed polarization maps is an “axisymmetric” model.

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