Engineering Parallel In-Place Random Generation of Integer Permutations

Modern facial recognition algorithms make it possible to identify system users by their appearance with a high level of accuracy. In such cases, an image of the user’s face is converted to parameters that later are used in a recognition process. On the other hand, the obtained parameters can be used as data for pseudo-random number generators. However, the closeness of the sequence generated by such a generator to a truly random one is questionable. This paper proposes a system which is able to authenticate users by their face, and generate pseudo-random values based on the facial image that will later serve to generate an encryption key. The generator of a random value was tested with the NIST Statistical Test Suite. The subsystem of image recognition was also tested under various conditions of taking the image. The test results of the random value generator show a satisfactory level of randomness, i.e., an average of 0.47 random generation (NIST test), with 95% accuracy of the system as a whole.

Download Full-text

Stereospecific analysis of triacylglycerols via racemic phosphatidylcholines and phospholipase C

Canadian Journal of Biochemistry ◽

10.1139/o79-015 ◽

1979 ◽

Vol 57 (2) ◽

pp. 117-124 ◽

Cited By ~ 99

Author(s):

J. J. Myher ◽

A. Kuksis

Keyword(s):

Mass Spectrometry ◽

Gas Chromatography ◽

Phospholipase C ◽

Fatty Acid Distribution ◽

Stereospecific Analysis ◽

Complete Analysis ◽

Practical Application ◽

Random Generation ◽

Grignard Degradation

A method of simultaneous determination of stereospecific distribution and molecular association of acyl groups in triacylglycerols has been developed. The analysis is based on a random generation of rac-1, 2-diacylglycerols by Grignard degradation, synthesis of rac-phosphatidylcholines, and a stereospecific stepwise release of 1, 2-sn- and 2, 3-sn-diacylglycerols by phospholipase C. The exact structure of the original triacylglycerols is reconstituted on the basis of complete analysis of the molecular species of the 1, 2-sn- and 2, 3-sn-diacylglycerols as the tertiary-butyldimethylsilyl ethers by gas chromatography with mass spectrometry. The validity of the method is demonstrated by analyses of synthetic triacylglycerols of known structure. A practical application is illustrated by determination of the fatty acid distribution in lard.

Download Full-text

Monte Carlo evaluation of biological variation: Random generation of correlated non-Gaussian model parameters

Journal of Computational and Applied Mathematics ◽

10.1016/j.cam.2007.12.010 ◽

2009 ◽

Vol 223 (1) ◽

pp. 1-14 ◽

Cited By ~ 13

Author(s):

Maarten L.A.T.M. Hertog ◽

Nico Scheerlinck ◽

Bart M. Nicolaï

Keyword(s):

Monte Carlo ◽

Gaussian Model ◽

Biological Variation ◽

Model Parameters ◽

Random Generation ◽

Monte Carlo Evaluation ◽

Non Gaussian

Download Full-text

Variables That Influence the Generation of Random Sequences: An Update

Perceptual and Motor Skills ◽

10.2466/pms.1997.84.2.627 ◽

1997 ◽

Vol 84 (2) ◽

pp. 627-661 ◽

Cited By ~ 87

Author(s):

Peter Brugger

Keyword(s):

Short Term Memory ◽

Human Subjects ◽

Complete Suppression ◽

Random Generation ◽

Short Term ◽

Random Sequences ◽

Potential Applications ◽

Basic Experiments ◽

The Brain ◽

Relevant Work

This article updates Tune's 1964 review of variables influencing human subjects' attempts at generating random sequences of alternatives. It also covers aspects not included in the original review such as randomization behavior by patients with neurological and psychiatric disorders. Relevant work from animal research (spontaneous alternation paradigm) is considered as well. It is conjectured that Tune's explanation of sequential nonrandomness in terms of a limited capacity of short-term memory can no longer be maintained. Rather, interdependence among consecutive choices is considered a consequence of an organism's natural susceptibility to interference. Random generation is thus a complex action which demands complete suppression of any rule-governed behavior. It possibly relies on functions of the frontal lobes but cannot otherwise be “localized” to restricted regions of the brain. Possible developments in the field are briefly discussed, both with respect to basic experiments regarding the nature of behavioral nonrandomness and to potential applications of random-generation tasks.

Download Full-text