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  2. Telephone numbers in Canada - Wikipedia

    en.wikipedia.org/wiki/Telephone_numbers_in_Canada

    Country code. 1. International access. 011. Long-distance. 1. Telephone numbers in Canada follow the fixed-length format of the North American Numbering Plan (NANP) of a three-digit area code, a three-digit central office code (or exchange code), and a four-digit station or line code. This is represented as NPA NXX XXXX.

  3. Fictitious telephone number - Wikipedia

    en.wikipedia.org/wiki/Fictitious_telephone_number

    In North America, the area served by the North American Numbering Plan (NANP) system of area codes, fictitious telephone numbers are usually of the form (XXX) 555-xxxx. The use of 555 numbers in fiction, however, led a desire to assign some of them in the real world, and some of them are no longer suitable for use in fiction.

  4. List of random number generators - Wikipedia

    en.wikipedia.org/wiki/List_of_random_number...

    However, generally they are considerably slower (typically by a factor 2–10) than fast, non-cryptographic random number generators. These include: Stream ciphers. Popular choices are Salsa20 or ChaCha (often with the number of rounds reduced to 8 for speed), ISAAC, HC-128 and RC4. Block ciphers in counter mode.

  5. Counter-based random number generator - Wikipedia

    en.wikipedia.org/wiki/Counter-based_random...

    A counter-based random number generation ( CBRNG, also known as a counter-based pseudo-random number generator, or CBPRNG) is a kind of pseudorandom number generator that uses only an integer counter as its internal state. They are generally used for generating pseudorandom numbers for large parallel computations.

  6. Telephone exchange names - Wikipedia

    en.wikipedia.org/wiki/Telephone_exchange_names

    Kenmore 9392 is a five-pull (1L-4N) small-city telephone number for the Kenmore exchange in Fort Wayne, Indiana. MArket 7032 is a six-digit (2L-4N) telephone number. This format was in use from the 1920s through the 1950s, and was phased out c. 1960. BALdwin 6828 is an urban 3L-4N example, used only in the largest cities before conversion to ...

  7. Random number generation - Wikipedia

    en.wikipedia.org/wiki/Random_number_generation

    When a cubical die is rolled, a random number from 1 to 6 is obtained. Random number generation is a process by which, often by means of a random number generator ( RNG ), a sequence of numbers or symbols that cannot be reasonably predicted better than by random chance is generated. This means that the particular outcome sequence will contain ...

  8. Hardware random number generator - Wikipedia

    en.wikipedia.org/wiki/Hardware_random_number...

    In computing, a hardware random number generator ( HRNG ), true random number generator ( TRNG ), non-deterministic random bit generator ( NRBG ), [1] or physical random number generator [2] [3] is a device that generates random numbers from a physical process capable of producing entropy (in other words, the device always has access to a ...

  9. Global Consciousness Project - Wikipedia

    en.wikipedia.org/wiki/Global_Consciousness_Project

    The Global Consciousness Project ( GCP, also called the EGG Project) is a parapsychology experiment begun in 1998 as an attempt to detect possible interactions of "global consciousness " with physical systems. The project monitors a geographically distributed network of hardware random number generators in a bid to identify anomalous outputs ...

  10. Random.org - Wikipedia

    en.wikipedia.org/wiki/Random.org

    Random.org (stylized as RANDOM.ORG) is a website that produces random numbers based on atmospheric noise. In addition to generating random numbers in a specified range and subject to a specified probability distribution , which is the most commonly done activity on the site, it has free tools to simulate events such as flipping coins, shuffling ...

  11. Applications of randomness - Wikipedia

    en.wikipedia.org/wiki/Applications_of_randomness

    If one has a pseudo-random number generator whose output is "sufficiently difficult" to predict, one can generate true random numbers to use as the initial value (i.e., the seed), and then use the pseudo-random number generator to produce numbers for use in cryptographic applications.