Multi-sensor multi-resolution data fusion modeling

Inspection analysis of 3D objects has progressed significantly due to the evolution of advanced sensors. Current sensors facilitate surface scanning at high or low resolution levels. In the inspection field, data from multi-resolution sensors have significant advantages over single-scale data. However, most data fusion methods are single-scale and are not suitable in their current form for multi-resolution sensors. Currently the main challenge is to integrate the diverse scanned information into a single geometric hierarchical model. In this work, a new approach for data fusion from multi-resolution sensors is presented. In addition, a correction function for data fusion, based on statistic models, for processing highly dense data (low accuracy) with respect to sparse data (high accuracy) is described. The feasibility of the methods is demonstrated on synthetic data that imitates CMM and laser measurements

Modelling Aspects of Planar Multi-Mode Antennas for Direction-of-Arrival Estimation

Multi-mode antennas are an alternative to classical antenna arrays, and hence a promising emerging sensor technology for a vast variety of applications in the areas of array signal processing and digital communications. An unsolved problem is to describe the radiation pattern of multi-mode antennas in closed analytic form based on calibration measurements or on electromagnetic field (EMF) simulation data. As a solution, we investigate two modeling methods: One is based on the array interpolation technique (AIT), the other one on wavefield modeling (WM). Both methods are able to accurately interpolate quantized EMF data of a given multi-mode antenna, in our case a planar four-port antenna developed for the 6-8.5 GHz range. Since the modeling methods inherently depend on parameter sets, we investigate the influence of the parameter choice on the accuracy of both models. Furthermore, we evaluate the impact of modeling errors for coherent maximum-likelihood direction-of-arrival (DoA) estimation given different model parameters. Numerical results are presented for a single polarization component. Simulations reveal that the estimation bias introduced by model errors is subject to the chosen model parameters. Finally, we provide optimized sets of AIT and WM parameters for the multi-mode antenna under investigation. With these parameter sets, EMF data samples can be reproduced in interpolated form with high angular resolution

New Interactive Solar Flare Modeling and Advanced Radio Diagnostics Tools

The coming years will see routine use of solar data of unprecedented spatial and spectral resolution, time cadence, and completeness in the wavelength domain. To capitalize on the soon to be available radio facilities such as the expanded OVSA, SSRT and FASR, and the challenges they present in the visualization and synthesis of the multi-frequency datasets, we propose that realistic, sophisticated 3D active region and flare modeling is timely now and will be a forefront of coronal studies over the coming years. Here we summarize our 3D modeling efforts, aimed at forward fitting of imaging spectroscopy data, and describe currently available 3D modeling tools. We also discuss plans for future generalization of our modeling tools.Comment: 4 pages; IAU Symposium # 274 "Advances in Plasma Astrophysics"; typo remove

Multi-scale hydration modeling of calcium sulphates

Computer models for cement hydration has been proven to be a useful tool for\ud understanding the chemistry of cement hydration, simulating the microstructure\ud development of hydrating paste and predicting the properties of the hydration process /1/.\ud One of these advanced models is CEMHYD3D, which is used and extended within the\ud University of Twente for the last 12 years with pore water chemistry /2/, slag cement /3/\ud and multi-time modeling /4/. Chen and Brouwers /5/ pointed out that the smallest size\ud handled in CEMHYD3D, called the ‘system resolution’ is important for a digitized model.\ud Features smaller than the voxel sizes cannot be represented since the model works based on\ud the movement and phase change of each discrete voxel. Furthermore, the system resolution\ud determines the amount of computing time needed for a specific task, a higher system\ud resolution will lead to longer computational time. Due to better computational possibilities,\ud the use of higher resolutions is possible nowadays.\ud This article shows the effects of using different resolutions with CEMHYD3D. This is done\ud for the ‘fresh’ mixtures as well as during hydration modeling of the binder. The model has\ud been modified to cope with several different resolutions from 0.20-2 μm (or 500-50 voxels\ud in the system in a box of 100 μm x 100 μm x 100 μm). This paper shows two methods for\ud the multi-scale modeling. The first method consists of a system, which use a modified\ud PSD-line for each resolution. The second method uses the same digitized initial\ud microstructure, but in stead of 1 voxel of 1 x 1 x 1 μm3 for 200 μm-system 8 voxels of 0.5\ud x 0.5 x 0.5 μm3 are used and for the 300-μm system 27 voxels of 0.33 x 0.33 x 0.33 μm3

Voxel-based Modeling with Multi-resolution Wavelet Transform for Layered Manufacturing

A voxel-based modeling system with multi-resolution for layered manufacturing is presented in this paper. When dealing with discretized data input, voxel-based modeling shows its clear advantages over the conventional geometric modeling methods. To increase the efficiency of voxel data due to its large storage space requirement, multi-resolution method with wavelet transform technique is implemented. Combining with iso-surface generation and lossless polygon reduction, this voxel-based modeling method can easily work with layered manufacturing. To demonstrate these concepts, components with different resolutions are built using Layered Manufacturing and presented in the paper.Mechanical Engineerin