Random Number Generators: Principles and Applications by Anastasios Bikos, Panagiotis E. Nastou, Georgios Petroudis, Yannis C. Stamatiou

Subjects: “…random number generation…”
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VHDL implementation of random number generators by Myint Htwe.

“…Random number generators are widely utilized in many electronic circuitries. …”
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Note on Marsaglia`s Xorshift Random Number Generators by Richard P. Brent

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Random numbers generated by linear recurrence modulo two / by 442139 Tausworthe, Robert C.

Subjects: “…Random number generators…”

On hysteresis based random number generation by C. E. Korman, I. D. Mayergoyz

“…A new hysteresis-based technique for random number generation is presented which can be efficiently implemented by using modern spintronics based nano-technology. …”
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High speed random number generation by Hong, Johnny MingZhong.

“…This report will discuss a new concept for generating random bits, the concepts was generated from past random number generator (RNG) experiments conducted, by using the advantages and trying to resolve the disadvantages in those RNG. …”
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Improving the Statistical Qualities of Pseudo Random Number Generators by Rafael Álvarez, Francisco Martínez, Antonio Zamora

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Time-Adaptive Statistical Test for Random Number Generators by Boris Ryabko

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Logarithmic Transformation-Based Gamma Random Number Generators by Bowei Xi, Kean Ming Tan, Chuanhai Liu

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Advanced Statistical Testing of Quantum Random Number Generators by Aldo C. Martínez, Aldo Solis, Rafael Díaz Hernández Rojas, Alfred B. U'Ren, Jorge G. Hirsch, Isaac Pérez Castillo

“…In practice, however, the experimental devices on which quantum random number generators are based are often unable to pass some tests of randomness. …”
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On Simulation of the Young Measures – Comparison of Random-Number Generators by Andrzej Z. Grzybowski, Piotr Puchała

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Recommendations and illustrations for the evaluation of photonic random number generators by Joseph D. Hart, Yuta Terashima, Atsushi Uchida, Gerald B. Baumgartner, Thomas E. Murphy, Rajarshi Roy

“…Despite these significant advances on the hardware side, commonly used statistical measures and evaluation practices remain ill-suited to understand or quantify the optical entropy that underlies physical random number generation. We review the state of the art in the evaluation of optical random number generation and recommend a new paradigm: quantifying entropy generation and understanding the physical limits of the optical sources of randomness. …”
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A mechanical true random number generator by Nozomi Akashi, Kohei Nakajima, Mitsuru Shibayama, Yasuo Kuniyoshi

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Random Number Generator Using Sensors for Drone by Seong-Min Cho, Eungi Hong, Seung-Hyun Seo

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DNA synthesis for true random number generation by Linda C. Meiser, Julian Koch, Philipp L. Antkowiak, Wendelin J. Stark, Reinhard Heckel, Robert N. Grass

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Hardware random numbers generator based on microcontroller by Ostapets Denys, Dziuba Volodymyr, Ivin Pavlo

“…The work considers the principles of development and organization of the random number generation system using a hardware generator of true random numbers. …”
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Sensor-Based Random Number Generator Seeding by Siang Lee Hong, Chang Liu

“…Random number generators (RNGs) are the foundation of strong security and privacy measures. …”
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A Hybrid Random Number Generator(HRNG) by Osvaldo Skliar, Ricardo E. Monge, Víctor Medina, Sherry Gapper, Guillermo Oviedo

“…The purpose of this paper is to present a novel Hybrid Random Number Generator (HRNG). Here “hybrid” refers to the fact that to construct this generator it is necessary to use 1)physical components – texts – and a physical process, and 2) a mathematical procedure. …”
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A recipe for an unpredictable random number generator by M.A.García-Ñustes, L.Trujillo, J.A.González

Subjects: “…random number generator…”
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Unbiased All-Optical Random-Number Generator by Tobias Steinle, Johannes N. Greiner, Jörg Wrachtrup, Harald Giessen, Ilja Gerhardt

“…This is commonly performed by hardware random-number generators. These often exhibit a number of problems, namely experimental bias, memory in the system, and other technical subtleties, which reduce the reliability in the entropy estimation. …”
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