The floating point: Tales of the unexpected

Faux, David A.; Godolphin, J. D.

doi:10.1119/10.0003915

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…Although it is tempting to use floating point values to represent “continuous” time, these data types can become problematic ( 91 , 232 , 233 ). Not only are such values ultimately quantized in some way ( 234 ) but the resolution of floating point data types is dependent on the magnitude of the value being represented ( 235 ).…”

Section: Improving Timing Accuracy and Precisionmentioning

confidence: 99%

“…Not only are such values ultimately quantized in some way ( 234 ) but the resolution of floating point data types is dependent on the magnitude of the value being represented ( 235 ). Additionally, both floating point and integer data types are unable to exactly represent some frequencies ( 91 , 236 ). These properties of floating point data types can create problems during numerical analysis, and may result in models that are not reproducible ( 237 ).…”

Section: Improving Timing Accuracy and Precisionmentioning

confidence: 99%

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Timing errors and temporal uncertainty in clinical databases—A narrative review

Goodwin

Eytan

Dixon

et al. 2022

Front. Digit. Health

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A firm concept of time is essential for establishing causality in a clinical setting. Review of critical incidents and generation of study hypotheses require a robust understanding of the sequence of events but conducting such work can be problematic when timestamps are recorded by independent and unsynchronized clocks. Most clinical models implicitly assume that timestamps have been measured accurately and precisely, but this custom will need to be re-evaluated if our algorithms and models are to make meaningful use of higher frequency physiological data sources. In this narrative review we explore factors that can result in timestamps being erroneously recorded in a clinical setting, with particular focus on systems that may be present in a critical care unit. We discuss how clocks, medical devices, data storage systems, algorithmic effects, human factors, and other external systems may affect the accuracy and precision of recorded timestamps. The concept of temporal uncertainty is introduced, and a holistic approach to timing accuracy, precision, and uncertainty is proposed. This quantitative approach to modeling temporal uncertainty provides a basis to achieve enhanced model generalizability and improved analytical outcomes.

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Section: Improving Timing Accuracy and Precisionmentioning

confidence: 99%

Section: Improving Timing Accuracy and Precisionmentioning

confidence: 99%

Timing errors and temporal uncertainty in clinical databases—A narrative review

Goodwin

Eytan

Dixon

et al. 2022

Front. Digit. Health

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Study of the Convergence of Muller's Sequence Computer Calculations

Vietrov

Bilous

2021

2021 IEEE 3rd Ukraine Conference on Electrical and Computer Engineering (UKRCON)

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The floating point: Rounding error in timing devices

Faux

Godolphin

2021

American Journal of Physics

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In blast furnaces, burden topography and packing density affect the stability of the burden, permeability of gas flow as well as the heat transfer efficiency. A fundamental understanding of the influence and interaction of coke and ore particles on the burden topography and packing density is therefore essential, in particular the influence of particle shape polydispersity and particle size polydispersity. In this paper we analyze the effect of particle shape and size polydispersity on the coke and ore charge distribution inside a bell-less blast furnace using the discrete element method (DEM). We first validate experimentally the polyhedral particle model with a simplified lab-scale charging experiment. A comparative study between spheres, with rolling friction to account for shape, and polyhedra is conducted for shape and size polydisperse particle systems. It was found that shape polydispersity mainly influenced the topography of the burden, whereas the size polydispersity mainly influenced the inter-layer percolation, i.e. localized particle diffusion, hence the local spatial packing density. The differences between the spherical particle models and polyhedral particle models on the burden topography are also quantitatively and qualitatively presented, especially on the role of particle shape on the push-up of coke in the centre. This study demonstrates that modelling particle shape effects using spheres with rolling friction is insufficient to fully describe the complex behaviour of shaped particles in a blast furnace, as the particle shape has a noteworthy influence on the burden characteristics.

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The floating point: Tales of the unexpected

Cited by 3 publications

References 21 publications

Timing errors and temporal uncertainty in clinical databases—A narrative review

Timing errors and temporal uncertainty in clinical databases—A narrative review

Study of the Convergence of Muller's Sequence Computer Calculations

The floating point: Rounding error in timing devices

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