Determination of the Minimum Sampling Size for Performance Verification of Security Gate

Juan Chen; Chun Wen Song; Wei Wu

doi:10.4028/www.scientific.net/AMM.40-41.913

Paper Titles

An Empirical Analysis of International Trade Network of Iron Ore
p.887

Entanglement Based on Jaynes-Cummings Model with Two Atoms and Two Photon Modes
p.894

Study on Intelligent Fault Diagnosis of a Type of Ammunition’s Flight Control System Based on Fuzzy Theory
p.903

Research on Jamming Effect Evaluation Method of ISAR Using Moment Invariants
p.909

Determination of the Minimum Sampling Size for Performance Verification of Security Gate
p.913

Numerical Algorithms for Solving Restricted Three Body Problem
p.917

A New Image Encryption Algorithm of Input-Output Feedback Based on Multi-Chaotic System
p.924

A Prediction Method for Nonlinear Correlative Time Series
p.930

Research on Trust Problems in B2C E-Commerce
p.937

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 40-41Determination of the Minimum Sampling Size for...

Determination of the Minimum Sampling Size for Performance Verification of Security Gate

Abstract:

This Security Gate is thought to be of great importance to aviation safety. Verification need to be done to make sure of quality of security gate. In order to do verification well, specific sampling size need to be determined first. So how to select proper sampling size is supposed to be significant. According to central limit theorem this problem is solved in this paper.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 40-41)

Pages:

913-916

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.40-41.913

Citation:

Cite this paper

Online since:

November 2010

Authors:

Juan Chen, Chun Wen Song, Wei Wu

Keywords:

Central Limit Theorem, List the Minimum Sampling Size, Precision

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] L.J. Bain, M. Engelhardt, Introduction to Probability and Mathematical Statistics, Duxbury, 2nd edition, (1992).

Google Scholar

[2] H.C. Jones, The relation between sample size and confidence in test-to-failure reliability programs, Reliability and Quality Control, IRE Transactions on Volume: PGRQC-16 Digital Object Identifier: 10. 1109/IRE-PGRQC. 1959. 5007206 Publication Year: 1959 , Page(s): 24 – 33.

DOI: 10.1109/ire-pgrqc.1959.5007206

Google Scholar

[3] D. H. Foley, Considerations of sample and feature size, IEEE Trans. Inform. Theory, vol. IT-18, no. 5, pp.618-626, Sept. (1972).

DOI: 10.1109/tit.1972.1054863

Google Scholar

[4] Michael Elgersma, Subhabrata Ganguli, Vu Ha, Tariq Samad. Statistical Performance Verification for an Autonomous Rotorcraft. Proceedings of the 2004 IEEE Intemational Symposium on Intelligent Control, Taipei, Taiwan, September 2-4, (2004).

DOI: 10.1109/isic.2004.1387650

Google Scholar

[5] Jun He, Hongzhong Zhao, Qiang Fu, Sample Size Analysis for Confidence Interval Estimation of Performance Metrics in ATR Evaluation, Radar conference, 2007 IEEE, Publication Year: 2007 , Page(s): 585 – 589.

DOI: 10.1109/radar.2007.374284

Google Scholar

[6] D. H. Foley, Considerations of sample and feature size, IEEE Trans. Inform. Theory, vol. IT-18, no. 5, pp.618-626, Sept. (1972).

DOI: 10.1109/tit.1972.1054863

Google Scholar