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Showing 1 to 20 of 20 for “"Random number generators"”.
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Random Number Generators
This paper is about pseudo-random number generators. In particular it is about pseudo-random number generators for the 16 bit computers. These machines include the IBM PC, XT, and AT. Thus this class comprises a large share of the PC market. The aim of the paper is to find a fast implementation of …
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Spectral analysis of random number generators
… a method for testing the fairness of pseudorandom number generators using the Discrete Fourier Transform. We will show how the concept of a random process can be used in a representation for random discrete time signals. Using this concept, we have focused on the mathematical representations …
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Efficient Gaussian Random Number Generators in HLS4ML
Efficient hardware implementation of neural networks, such as Variational Autoencoders (VAEs), often relies on FPGAs for their balance of performance and energy efficiency. VAEs require accurate Gaussian distributions for latent space sampling, but traditional methods like the Central Limit Theorem …
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Improving the Security of Continuous Variable Quantum Random Number Generators
Random numbers are vital for a wide variety of applications including lotteries, statistical sampling, computer simulations and cryptography. They can also be used to make random decisions required in both quantum key distribution (QKD) and fundamental tests of the foundations of quantum mechanics. …
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Testing Primitive Polynomials for Generalized Feedback Shift Register Random Number Generators
… of generalized feedback shift register (GFSR) random number generators was a promising method for random number generation in the 1980's, but was abandoned because of some flaws such as poor performance on certain tests for randomness. The poor performance may be due to the choice of primitive …
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Rollback-able Random Number Generators For The Synchronous Parallel Environment For Emulation And Discrete-event Simulation (spe
Random Numbers form the heart and soul of a discrete-event simulation system. There are few situations where the actions of the entities in the process being simulated can be completely predicted in advance. The real world processes are more probabilistic than deterministic. Hence, such chances are …
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A Statistical Evaluation of Algorithms for Independently Seeding Pseudo-Random Number Generators of Type Multiplicative Congruential (Lehmer-Class).
<p>To be effective, a linear congruential random number generator (LCG) should produce values that are (a) uniformly distributed on the unit interval (0,1) excluding endpoints and (b) substantially free of serial correlation. It has been found that many statistical methods produce inflated Type I …
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Randomness Tests for Binary Sequences
… digital world. Though sometimes underestimated, randomness plays a key role in cryptography, generating unpredictable keys and other related material. Hence, high-quality random number generators are a crucial element in building a secure cryptographic system. In dealing with randomness, two key …
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Domain-Specific Analog Physical Computing Accelerators
… the fast and efficient generation of non-uniform random variates in hardware. Using simulations and real-world empirical measurements this dissertation shows that software non-uniform random number generation is slow and inefficient, and discusses why this is the case. This dissertation presents …
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Some Novice methods for Software Protection with Obfuscation
… of cryptography like hashing functions and random number generators.
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Verifying Hardware Security Modules With True Random NumberGenerators
… are secure. Many HSMs today also include true random number generators (TRNGs) as part of their architecture to seed cryptographic functions for generating keys, creating nonces, padding, and more. This thesis presents a definition of Information-Preserving Refinement with Randomness (IPRR) …
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Optical quantum random number generation: applications of single-photon event timing
… the field of quantum information. For example, random number generators are used in almost all areas of science, and the initial portion of this work details the theory, design, and characterization of two photon-arrival-time quantum random number generators (QRNGs). After the QRNGs were …
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Photon Arrival Time Quantum Random Number Generation
A quantum random number generator (QRNG) is one which re- lies on a physical process, extracting randomness from the inherent uncertainty in quantum mechanics. This is to be contrasted with current pseudo-random number generators (PRNG), which although useful, are in fact deterministic: they always …
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Integrating environmental considerations in technology selections under uncertainty
… valuation model along with the databases and the random number generators for the uncertainty analysis. It is a generic framework and can be applied to various decision scenarios that face uncertainty in their systems. The paper also reviews sensitivity analysis methods and includes a survey on …
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A Study on Energy Harvesters for Physical Unclonable Functions and Random Number Generation
… issue. Physical unclonable functions (PUFs) and random number generators (RNGs) provide methods to generate security keys for data encryption. Transducers used in the energy harvesting systems of wireless sensor nodes, can generate the PUFs and RNGs. These transducers include piezoelectric …
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Optimal Codes and Entropy Extractors
… both Coding Theory and Entropy Extraction for Random Number Generators to be used for cryptographic purposes. We start from a thorough analysis of known bounds on code parameters and a study of the properties of Hadamard codes. We find of particular interest the Griesmer bound, which is a …
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Flexible Collaboration Transparency: Supporting Worker Independence in Replicated Application-Sharing Systems
… system resources (e.g., files, sockets, and random number generators). To enhance the collaborative usability of a legacy application, the new approach <i> transparently</i> replaces selected single-user interface objects with multi-user versions at runtime. There are four requirements of an …
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DYNAMICAL TESTS OF A PARTICLE-MESH COMPUTER SIMULATION MODEL WITH APPLICATIONS IN ASTROPHYSICS
… checked on the effects of using different pseudo-random number generators for obtaining the initial particle distribution in the disk. These tests revealed that the final simulation result is dependent on the quality of the pseudo-random generator used in the simulation. The experiments using …
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Hardware acceleration of Monte Carlo-based simulations
… Two common elements have been outstood: • The random number generators that are required for the underlying random variables, • Floating-point operators, which are the base elements for implementing the mathematical models that are evaluated. In this way, the first objective of this Ph.D. …