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Addressing class imbalance in traumatic brain injury prognostication: A survey of resampling approaches. [PDF]
AIMS NeurosciNoor NSEM.
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Composable neural emulators accelerate thermoelectric generator design. [PDF]
NatureLi A +7 more
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2014
Random numbers are needed in many areas: cryptography, Monte Carlo computation and simulation, industrial testing and labeling, hazard games, gambling, etc. Our assumption has been that random numbers cannot be computed ; because digital computers operate deterministically, they cannot produce random umbrs.
Mario Stipčević, Çetin Kaya Koç
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Random numbers are needed in many areas: cryptography, Monte Carlo computation and simulation, industrial testing and labeling, hazard games, gambling, etc. Our assumption has been that random numbers cannot be computed ; because digital computers operate deterministically, they cannot produce random umbrs.
Mario Stipčević, Çetin Kaya Koç
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[Intel random number generator-based true random number generator].
Di 1 jun yi da xue xue bao = Academic journal of the first medical college of PLA, 2007To establish a true random number generator on the basis of certain Intel chips.The random numbers were acquired by programming using Microsoft Visual C++ 6.0 via register reading from the random number generator (RNG) unit of an Intel 815 chipset-based computer with Intel Security Driver (ISD).We tested the generator with 500 random numbers in NIST ...
Feng, Huang, Hong, Shen
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Physical true random number generator
Chinese Science Bulletin, 2009The requirement of physical true random number generator and the difference between the true random number and pseudo-random number are presented. The recent experiements of true ran-dom number generator, expetically, the various schemes of true random number generator based on lasers, are summarized.
Yu LIU, Hong GUO, AnHong WEI Wei DANG
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True random number generator based on nanomagnets
2016 IEEE Nanotechnology Materials and Devices Conference (NMDC), 2016With the advancement of fabrication processes, bistable single domain nanomagnets are being exploited to design digital logic circuits. The fabricated circuits are however particularly sensitive to process variations and thermal noise. In this paper we exploit these weaknesses to design a true random number generator.
Gnoli, Luca +4 more
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2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC), 2021
Currently, True Random Number Generation (TRNG) is relatively slow, utilizing natural, physical processes as its entropy source. Other types of random numbers, such as Pseudo-Random Numbers, lack true randomness as eventually they repeat, but can be generated with great speed.
Thomas Arciuolo, Khaled M. Elleithy
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Currently, True Random Number Generation (TRNG) is relatively slow, utilizing natural, physical processes as its entropy source. Other types of random numbers, such as Pseudo-Random Numbers, lack true randomness as eventually they repeat, but can be generated with great speed.
Thomas Arciuolo, Khaled M. Elleithy
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Chaotic Oscillator Based True Random Number Generator
2021 29th Signal Processing and Communications Applications Conference (SIU), 2021In this study, a CCII+ based chaotic oscillator design, based on a set of chaotic equations that has not been physically implemented before, and a random number generator design, using this analog chaos generator, is realized. The dynamic behavior of the chaotic oscillator has been observed by PSPICE simulations and confirmed by experimental studies ...
Ahmet Can Özçelık +1 more
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