This test checks for the number of times that

random number within [0, 1) fall outside of a expected interval.

It also requires that the number of

random numbers to be used be known at least approximately, in advance of running the parallel algorithm.

As shown in Monte Carlo sampling algorithm (Figure 1), first, considering the probability distribution for each variable, enough number of

random numbers is generated.

Developed true

random number generators are subject to randomness tests in order to be safely used in cryptographic applications.

Figure 1: Comparison of two major methods of

random number generation Method Comparison Pseudo-Random True

Random Number Generators Number Generators Efficient Inefficient Deterministic Nondeterministic Periodic Aperiodic Figure 2: Example of an equation to generate Pseudo-Random Number Generators

Random Number Generator Equation [x.sub.n+1] = [P.sub.1][x.sub.n] + [P.sub.2] (mod N) where n = 0,1,2,3, ....

The low-cost device, which Los Alamos scientists say is simple and compact enough to be made into a thumb-drive-size unit, uses the quantum properties of light for generating

random numbers. These

random numbers create cryptographic keys for real-time encryption at high data rates.

Random numbers are used to generate cryptographic keys - if you can guess the numbers, you can break the security of the keys.

The authors ran additional simulations (with different

random number seeds) to investigate these results.

And the T5 includes accelerator units for an "unprecedented" 16 encryption algorithms, Turullols said, as well as a

random number generator.

In addition to the universal control of different production Levels, PMP Track & Trace also offers individual reports and audit functions as well as an integrated

random number generator for unique product ID codes.

Two names were drawn at random from the list of entrants, using this

random number generator

In this paper, for a general arrangement of sensor positions based on the iterative method, we propose a simple examination method using a

random number, and show two examples applied to the cases where the sensor network cannot enclose a monitoring region three-dimensionally due to respective monitoring restrictions.