NCSLI Measure - Annual Editors' Choice Award
This annual award is given the author or authors of a technical paper published in NCSLI Measure that is considered to be an outstanding contribution to the field of metrology, and that reflects the goals and purposes of NCSLI International. The award is given at the annual NCSLI Workshop & Symposium to a paper that was published during the previous year. The winner is selected by a team of voters that includes the managing editor and the associate editors.
Nobu-hisa Kaneko, Takehiko Oe, Atsushi Domae; National Metrology Institute of Japan, Takayuki Abe; Japan Electric Meters Inspection Corporation (JEMIC), Masaya Kumagai, and Matsuo Zama; Alpha Electronics
(for “Development of High-Stability Metal-Foil Resistors for DC and AC Measurements," NCSLI Measure J. Meas. Sci., vol. 7, no. 4, pp. 34-40, December 2012).
C. M. Tsui, Y. K. Yan, and H. M. Chan, Standards and Calibration Laboratory (SCL) of Hong Kong
(for “Calibration of Stopwatches by Utilizing HighSpeed Video Recordings and a Synchronous Counter," NCSLI Measure J. Meas. Sci., vol. 6, no. 3, pp. 64-71, September 2011.)
Jim Salsbury, Mitutoyo America Corporation
(for "Uncertainty Management versus Risk Management in Calibration," NCSLI Measure J. Meas. Sci., vol. 5, no. 3, pp. 60-67, September 2010.)
Branislav Djokic, National Research Council of Canada
(for “The Design and Calibration of Rogowski Coils," NCSLI Measure J. Meas. Sci., vol. 4, no. 2, pp. 62-75, June 2009.)
Michael A. Lombardi, National Institute of Standards and Technology
(for “The Use of GPS Disciplined Oscillators as Primary Frequency Standards for Calibration and Metrology Laboratories,” NCSLI Measure J. Meas. Sci., vol. 3, no. 3, pp. 56-65, September 2008.)
Michael J. Ouellette, National Research Council of Canada
(for “Estimation of Measurement Uncertainty: Simplified Methods” NCSLI Measure J. Meas. Sci., vol. 2, no. 3, pp. 56-68, September 2007.)
Alan G. Steele and Rob Douglas, National Research Council of Canada
(for “Simplifications from Simulations: Monte Carlo Methods for Uncertainties” NCSLI Measure J. Meas. Sci., pp. 56-68, vol. 1, no. 2, June 2006.)