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Random Number Generation for Retention Time Error

Practical Random Number Generation in Software

Practical Random Number Generation in Software

... practical random number generation systems is the lack of quality entropy ...any time it calls the ps ...single time, and then must guess any changes based on external behavior, we’ve ...

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CiteSeerX — Pseudo-Random Number Generation on the

CiteSeerX — Pseudo-Random Number Generation on the

... speci c to the Coprocessor. The resulting control program, CP=Q ++ , provides the platform for application development. A complete custom application (like our pseudorandom generator) can be built on the CP=Q ++ ...

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Secure random number generation in wireless sensor networks

Secure random number generation in wireless sensor networks

... Reliable random number generation is crucial for many available security algorithms, and some of the methods presented in literature proposed to generate them based on measurements collected from the ...

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Genetic Algorithm and Random number Generation for Symmetric Encryption

Genetic Algorithm and Random number Generation for Symmetric Encryption

... 2 Department of Electronics and Communication Engineering, VIT University, Chennai, India. Abstract - This investigation proposes the radix 2, radix 4 and radix 8 FFT algorithms with improvement in performance using ...

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Hardware Accelerated Scalable Parallel Random Number Generation

Hardware Accelerated Scalable Parallel Random Number Generation

... million random numbers by comparing the results with those from SPRNG on each generation function ...The random number generation rate for the 48 bit LCG is much slower than the FPGA ...

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A Time Series Approach to Random Number Generation: Using Recurrence Quantification Analysis to Capture Executive Behavior

A Time Series Approach to Random Number Generation: Using Recurrence Quantification Analysis to Capture Executive Behavior

... of time-evolutionary information in RNG by predicting one participant’s number selec- tion based on the sequence of another participant, and these predictions became more precise when longer sequences were ...

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A time series approach to random number generation: Using recurrence quantification analysis to capture executive behavior

A time series approach to random number generation: Using recurrence quantification analysis to capture executive behavior

... of time-evolutionary information in RNG by predicting one participant’s number selec- tion based on the sequence of another participant, and these predictions became more precise when longer sequences were ...

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A New Trend of Pseudo Random Number Generation using QKD

A New Trend of Pseudo Random Number Generation using QKD

... INTRODUCTION Random numbers have many uses in cryptography such as key streams of one-time pads, secret keys of symmetric cipher systems, public key parameters, session keys, nonce, initialization vectors ...

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Windows and Linux Random Number Generation Process: A Comparative Analysis

Windows and Linux Random Number Generation Process: A Comparative Analysis

... booting time, an initial entropy value is provided by Windows OS ...HKLM\System\RNG\Seed, random number generated by calling TPM_GetRandom if TPM is available, current system time, OEM0 ACPI ...

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Syndrome-Fortuna: A viable approach for Linux random number generation

Syndrome-Fortuna: A viable approach for Linux random number generation

... the random number generator of Netscape browser allowed that keys used in SSL connections were discovered in about one ...system time and the process id as sources of ...

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High Speed LUT-SR Family of Random Number Generation

High Speed LUT-SR Family of Random Number Generation

... V. C ONCLUSION This paper presents improved LUT-SR RNGs with implication on FPGA. These RNGs take the advantage of LUTs to configure as independent shift registers, for realizing high-quality long-period generators. The ...

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On parallel random number generation for accelerating simulations of communication systems

On parallel random number generation for accelerating simulations of communication systems

... As stated before, PRNGs do not produce real RNs, but try to create a “good” output streams that looks random. Eval- uating the quality of PRNGs has been an active topic for a long time. To a special degree, ...

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Manipulating attentional load in sequence learning through random number generation

Manipulating attentional load in sequence learning through random number generation

... a random number generation (rng) task, which may allow for a closer monitoring of a participant’s engagement in a secondary task than the popular secondary task in sequence learning studies: tone ...

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Toward Sensor-Based Random Number Generation for Mobile and IoT Devices

Toward Sensor-Based Random Number Generation for Mobile and IoT Devices

... on number of downloads or developer activity); 2) apps of varying size and complexity (in order to offer a broad discussion of the programming effort required for different size apps); and 3) apps that con- tain ...

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A NEW CHAOTIC ATTRACTOR FOR RANDOM NUMBER GENERATION BASED ON MEMRISTIVE CIRCUIT

A NEW CHAOTIC ATTRACTOR FOR RANDOM NUMBER GENERATION BASED ON MEMRISTIVE CIRCUIT

... Asymptotic growth rate K; If the K constant is close to 1, the sign is chaotic. If it is close to 0, it is periodic. The K constant obtained by sampling the chaotic signal according to the given parameters with 2 Hz ...

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RdRand: IA-64 and IA-32 Instruction for Random Number Generation

RdRand: IA-64 and IA-32 Instruction for Random Number Generation

... The principle is simple: By default, there is tolerance for few failures, implemented in the library itself. In such case, a new call of the RdRand instruction is made immediately after a failure. But if the RdRand is ...

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An architecturally constrained model of random number generation and its application to modeling the effect of generation rate

An architecturally constrained model of random number generation and its application to modeling the effect of generation rate

... of generation leads to a substantial decrease in ran- domness at the fastest rates of generation, characterized by an increased tendency to employ the simplistic, overlearned strategy of ...underlying ...

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Real-time Processing System for a Quantum Random Number Generator

Real-time Processing System for a Quantum Random Number Generator

... Since even during nominal operations some of these errors are expected, overreaction to these states should be avoided because dropping everything that is not in our predefined critical range can lead to a skewed ...

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Optical quantum random number generation: applications of single-photon event timing

Optical quantum random number generation: applications of single-photon event timing

... quantum random number ...waiting- time distribution of photon arrival times and generated random bits at 130 Mb/s, which at the time was the world’s fastest quantum random ...

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Deconvolution of the Error Associated with Random Sampling

Deconvolution of the Error Associated with Random Sampling

... large number of integral-valued repeats (=ROUND ( 360 ⋅ P P , 0)) for any particular count x : ...of time, ...n number of x val- ues were randomly selected based upon random number ...

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