The square root rule – a case study of a scaling factor for machines with dynamic similitude

This research involves measuring maintenance productivity and seeks to measure how maintenance of equipment affects the overall productivity of the company. The Stewart Utility Concept was used along with a scaling factor. Performance measures were identified and their values were obtained. Five productivity ratios were employed to obtain the overall maintenance productivity. Results from the graphs showed that Equipment Availability was 78.32%; Emergency Failure Intensity Ratio was 28.4%; Maintenance Cost Component was 32.39/btl; Cost of Maintenance hour was N125, 081/hr; Routine Service Worked was 92.03% and Cost of Reduction was 5.32hr/N. The overall maintenance productivity of the period under review was fairly good though there is room for improvement. Average overall maintenance productivity was found to be 63.2%. This is an indication that there were evaluations and review of maintenance productivity within the period.

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Is a scaling factor required to obtain closure between measured and modelled atmospheric O<sub>4</sub> absorptions? – A case study for two days during the MADCAT campaign

10.5194/amt-2018-238 ◽

2018 ◽

Cited By ~ 1

Author(s):

Thomas Wagner ◽

Steffen Beirle ◽

Nuria Benavent ◽

Tim Bösch ◽

Kai Lok Chan ◽

...

Keyword(s):

Radiative Transfer ◽

Scaling Factor

Abstract. In this study the consistency between MAX-DOAS measurements and radiative transfer simulations of the atmospheric O4 absorption is investigated on two mainly clear days during the MAD-CAT campaign in Mainz, Germany, in Summer 2013. In recent years several studies indicated that measurements and radiative transfer simulations of the atmospheric O4 absorption can only be brought into agreement if a so-called scaling factor (

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Real quantifier elimination for the synthesis of optimal numerical algorithms (Case study: Square root computation)

Journal of Symbolic Computation ◽

10.1016/j.jsc.2015.11.010 ◽

2016 ◽

Vol 75 ◽

pp. 110-126 ◽

Cited By ~ 6

Author(s):

Mădălina Eraşcu ◽

Hoon Hong

Keyword(s):

Quantifier Elimination ◽

Numerical Algorithms ◽

Square Root

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The Impact of Scaling Factor Variability on Risk-Relevant Pharmacokinetic Outcomes in Children: A Case Study Using Bromodichloromethane (BDCM)

Toxicological Sciences ◽

10.1093/toxsci/kfy236 ◽

2018 ◽

Vol 167 (2) ◽

pp. 347-359 ◽

Cited By ~ 2

Author(s):

Elaina M Kenyon ◽

John C Lipscomb ◽

Rex A Pegram ◽

Barbara J George ◽

Ronald N Hines

Keyword(s):

Scaling Factor ◽

The Impact

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A Novel Low-power Shared Division and Square-root Architecture Using the GST Algorithm

VLSI Design ◽

10.1155/2001/51413 ◽

2001 ◽

Vol 12 (3) ◽

pp. 365-376 ◽

Cited By ~ 2

Author(s):

Martin Kuhlmann ◽

Keshab K. Parhi

Keyword(s):

Power Consumption ◽

Low Power ◽

Root Architecture ◽

Scale Factor ◽

Quantitative Comparison ◽

Scaling Factor ◽

Square Root ◽

Worst Case ◽

Long Time

Although SRT division and square-root approaches and GST division approach have been known for long time, square-root architectures based on the GST approach have not been proposed so far which do not require a final division/multiplication of the scale factor. A GST square-root architecture is developed without requiring either a multiplication to update the scaled square-root quotient in each iteration or a division/multiplication by the scaling factor after completing the square-root iterations. Additionally, quantitative comparison of speed and power consumption of GST and SRT division/square-root units are presented. Shared divider and square-root units are designed based on the SRT and the GST approaches, in minimally and maximally redundant radix-4 representations. Simulations demonstrate that the worst-case overall latency of the minimally-redundant GST architecture is 35% smaller compared to the SRT. Alternatively, for a fixed latency, the minimally-redundant GST architecture based division and square-root operations consume 32% and 28% less power, respectively, compared to the maximally-redundant SRT approach.

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