Establishing Credible Practice Guidelines for Simulation-Based Medicine

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Efficient registration for precision inspection of free-form surfaces

Precision inspection of free-form surface is difficult with current industry practices that rely on accurate fixtures. Alternatively, the measurements can be aligned to the part model using a geometry-based registration method, such as the iterative closest point (ICP) method, to achieve a fast and automatic inspection process. This paper discusses various techniques that accelerate the registration process and improve the efficiency of the ICP method. First, the data structures of approximated nearest nodes and topological neighbor facets are combined to speed up the closest point calculation. The closest point calculation is further improved with the cached facets across iteration steps. The registration efficiency can also be enhanced by incorporating signal-to-noise ratio into the transformation of correspondence sets to reduce or remove the noise of outliers. Last, an acceleration method based on linear or quadratic extrapolation is fine-tuned to provide the fast yet robust iteration process. These techniques have been implemented on a four-axis blade inspection machine where no accurate fixture is required. The tests of measurement simulations and inspection case studies indicated that the presented registration method is accurate and efficient.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45849/1/170_2005_Article_370.pd

Utilizing Computing Power to Simplify the Inspection Process of Complex Shapes

The exponential increase of computing power, predicted by Moore’s law [1], influences modern inspection capabilities. The availability of computing power allows the design and implementation of affordable sensing devices employing numerical analysis to generate measurement results. In particular, modern laser sensors [2] benefit from computing power by providing rapid and accurat

50 Summers of Simulation

We are having seasons: summers and winters of many scientific disciplines. Many fields are experiencing hype cycles. Each one of us would remember “AI winter” from the history of Artificial Intelligence. Inflated expectations are followed by disappointment and eventually funding cuts. Renewing the interest takes then years if not decades. The Society for Modeling and Simulation International has achieved outstanding success in the last 50 years to keep Summer Computer Simulation Conference (SCSC) an important event through many seasons of simulation, some of which were more remarkable than others. This chapter summarizes the Panel discussion/contributions of the SCSC 2018 about the seasons in computer simulation and the ways to achieve and further prolong summers of computer simulation

Model integration in computational biology : the role of reproducibility, credibility and utility

During the COVID-19 pandemic, mathematical modeling of disease transmission has become a cornerstone of key state decisions. To advance the state-of-the-art host viral modeling to handle future pandemics, many scientists working on related issues assembled to discuss the topics. These discussions exposed the reproducibility crisis that leads to inability to reuse and integrate models. This document summarizes these discussions, presents difficulties, and mentions existing efforts towards future solutions that will allow future model utility and integration. We argue that without addressing these challenges, scientists will have diminished ability to build, disseminate, and implement high-impact multi-scale modeling that is needed to understand the health crises we face