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Surgeons rely on randomized controlled trials (RCT) to compare the effectiveness of treatments. RCTs require careful planning and substantial effort to complete. Because of the careful study design, statistics performed are often easy to reproduce such as Chi-squared or t-test. Issues such as statistical discordance, or reporting statistical results that cannot be reproduced, should be uncommon. RCTs pertaining to hernias were identified in PubMed using the search terms “hernia” and “randomized controlled trial.” Studies were selected using a random number generator. Studies were included if the primary outcome could be reproduced using the data and statistical test reported in the manuscript. Discordance between the obtained p-value from our analysis and the published p-value was assessed. Primary outcome was the number of studies that reported p-values that crossed the level of statistical significance (p-value = 0.05) but on reproduction analysis did not. Of the 100 included RCTs, five reported p-values that crossed the “p = 0.05” threshold that our team was unable to reproduce using the statistical test reported in the manuscript. An additional three studies reported p-values that crossed the “p = 0.05” threshold that our team was unable to reproduce using the appropriate statistical test (i.e., Fisher’s exact test when all expected cell counts

Protocol Zero Knowledge Proof is one of the protocols in Cryptography that has a fairly good level of security, because it applies the concept of "Truly Zero Knowledge Proof" which is not leaking any information. This protocol is used in the Fiat Shamir, Guillou Quisquater and Schnorr Feige Algorithms, all of which are Cryptographic Algorithms using private keys and public keys. In the Public key, all three of these Algorithms use a random number generator at the values p and q to get the public key. In this study, the author will generate a public key generation test using CPRNG (Cryptographically-secure Pseudo-Random Number Generator) with the Blum Blum Shub algorithm. The test will be conducted on the Fiat Feige Algorithm, the formation of the key will use the Blum Blum Shub Algorithm, but the Identification Protocol still uses the Fiat Shamir Feige Algorithm. The results of this study show the Feige Fiat Algorithm with the Blum Blum Shub Algorithm as the key builder successfully identifies the pattern sent by the signer.

This Article describes the effect of the excitation wavelength on the spectra of random laser emission obtained in a dye-doped polymeric system, composed of a PMMA layer and a laser dye exhibiting ...

In this brief we employ the discrete Arnold’s cat map over the integer ring $\mathbb {Z}_{3^{m}}$ to construct one-dimensional pseudo-chaotic sequences. We analyze their period properties using the properties of the Fibonacci sequence over $\mathbb {Z}_{3^{m}}$ and show that they have twice the period of the sequences generated by the logistic map over $\mathbb {Z}_{3^{m}}$ recently proposed. Moreover, we investigate the pseudo-chaotic properties of the proposed sequences in the context of pseudo-chaos. Finally, these sequences are employed to design a pseudo-random number generator and a statistical analysis with the NIST statistical test suite is performed.

The objectives of the present study were to compare the serum calcium (Ca) concentrations in cattle and sheep measured by the flame atomic absorption spectrophotometry (AAS) and those obtained with a colorimetric method (CM) and to generate equations that allow their prediction. Serum Ca concentration was determined in 50 dairy cattle and 50 dairy sheep non-hemolyzed blood samples with AAS and CM. The data were analyzed with paired sample t test and Bland–Altman plots were generated. Using a random number generator, 25 samples from each species were selected to create predictive equations between the two methods using Passing-Bablok regression analysis. The predictive equations were validated at the remaining 25 samples for each species using Bland–Altman plots. The average bias between the two methods was 5.5% for cattle and 18.1% for sheep samples. Mean Ca values determined with CM were significantly lower than those measured with AAS (P < 0.05) in both species. The use of the generated equations y = 0.706 + 0.727x for cattle and y = 0.744 + 0.833x for sheep (mmol/l) allows the prediction of AAS determined Ca (y) using CM determined Ca values (x) with average bias 1.8% for cattle and 1.9% for sheep. The two methods for calcium determination evaluated cannot be used interchangeably and the respective reference intervals and cut-off values should be taken into account to make clinical decisions in cattle and sheep. The use of the proposed equation for cattle is considered as acceptable for the calculation of bias corrected reference ranges and cut-off values.

This brief proposes a true-random number generator (TRNG) based on a successive approximation register (SAR) analog-to-digital converter (ADC). After the SAR ADC has finished conversion, the comparator is fired again to quantize the residue. The 1-bit quantized residue acts as a true random sequence and no additional circuits are required for the TRNG. A prototype fabricated in 65nm process acts as a TRNG over 0.6V-1.2V power supply and −5°C to 50°C temperature range without any calibration or post-processing. The TRNG outputs a random sequence at 1.25Mbps and consumes state-of-the-art energy of 0.22pJ/bit.

Weighted spiking neural P systems with anti-spikes (AWSN P systems) are proposed by adding anti-spikes to spiking neural P systems with weighted synapses. Anti-spikes behave like spikes of inhibition of communication between neurons. Both spikes and anti-spikes are used in the rule expressions. An illustrative example is given to show the working process of the proposed AWSN P systems. The Turing universality of the proposed P systems as number generating and accepting devices is proved. Finally, a universal AWSN P system having 34 neurons is proved to work as a function computing device by using standard rules, and one having 30 neurons is proved to work as a number generator.

Purpose The purpose of this study was to examine the efficacy of different cartoon viewing devices during phlebotomy in children. Design This study was a prospective, randomized controlled trial. Methods The study included inpatients from the Biochemical Laboratory of a private university hospital in Turkey and was conducted between September 2017 and April 2018. A computer-based random number generator was used to randomly assign the patients into three groups (virtual reality [VR], tablet, and control) with 40 children each. Data were collected using the Wong-Baker FACES Pain Rating Scale and the Children's Fear Scale. Pain and anxiety scores were reported by children, parents, and observers in tablet and control groups. In the VR group, pain and anxiety were determined only by children's reports. Findings According to the children reports, the VR group reported significantly less pain and anxiety than those in the tablet and control groups (P Conclusions The cartoon distraction performed using a VR device reduced the perception of pain and anxiety during phlebotomy in school-age children.

Uniform reliable broadcast (URB) is an important abstraction in distributed systems, offering delivery guarantee when spreading messages between processes. Informally, URB guarantees that if a process (correct or not) delivers a message m, then all correct processes deliver m. This abstraction has been extensively investigated in distributed systems where all processes have unique identifiers. Furthermore, the majority of papers in the literature usually assume that the communication channels of the system are reliable, which is not always the case in real systems. In this paper, the URB abstraction is investigated in anonymous asynchronous message passing distributed systems with process crash failures and fair lossy channels. For that, we assume the availability of a random number generator that generates unique global values with very high probability. Firstly, a simple URB algorithm is given assuming a majority of correct processes. Then, we prove the impossibility of solving URB without a majority of correct processes if no failure detector is used. Subsequently, a new failure detector class $$A{\varTheta }$$ is proposed, which can be used to implement URB with any number of correct processes. However, the two previous URB algorithms are non-quiescent because every correct process, to offset the loss of messages caused by fair lossy channels, has to broadcast all URB $$\_$$ delivered messages forever. Hence, a perfect anonymous failure detector $$AP^*$$ is proposed, together with $$A{\varTheta }$$ , to make the URB algorithm quiescent. Finally, we discuss an alternative failure detector $$A{\varTheta }P^*$$ , which combines the properties of $$A{\varTheta }$$ and $$AP^*$$ .

A random number generator (RNG) is an important building block for cryptographic operations primarily to generate random nonces and secret keys. The power-up value of an SRAM array has been widely accepted as an entropy source for generating random numbers. However, only a few cells of the SRAM are truly random upon repeated power-ups; the vast majority of cells display a distinct bias from manufacturing process variations. Consequently, a relatively large SRAM array is required to obtain sufficient entropy for generating random numbers. Earlier research has proposed the use of controlled device aging at pre-deployment stage to enhance the initial entropy of an SRAM array. However, aging in the field can adversely affect the entropy and degrade randomness; we show here that any initial aging to increase SRAM entropy can even be counterproductive. Instead, we propose an SRAM-based random number generation approach, which continually manipulates device aging during operation to constantly maximize entropy for the entire deployment period. The key idea is to continually stress the SRAM cells in their power-up states at regular intervals. This helps counteract the aging caused by the random memory states that occur during operation. Silicon results are presented to validate our proposed approach.

Background Cutibacterium acnes is the most common pathogen in shoulder prosthetic joint infections. Short-contact benzoyl peroxide (BPO) solutions effectively reduce C acnes loads on the shoulder preoperatively. It is unknown how long the effect of BPO lasts. We evaluated C acnes counts 1 week after BPO application. We hypothesized that BPO would decrease C acnes burden with a rebound after 1 week. Methods Screening of 102 healthy volunteers with no history of shoulder surgery or C acnes infection was performed to establish bacterial counts. Thirty-four participants were selected based on an established threshold. Each was given BPO 5% for 3 consecutive days of application on either the left or right shoulder as indicated by a random number generator. Deep sebaceous gland cultures were obtained with a detergent scrub technique before BPO application, after 3 days of use, and 1 week after BPO treatment commenced. Results The differences between the logarithmic reduction and the logarithmic rebound at the anterior, lateral, and posterior sites were statistically significant. Anteriorly, the average log reduction was −0.44 and the average log rebound was 0.69 (P = .003). Laterally, reduction was −0.64 and rebound was 0.74 (P = .003). Posteriorly, reduction was −0.63 and rebound was 0.78 (P = .008). At the axilla, reduction was −0.40 and rebound was 0.31 (P = .10). The differences in C acnes burden between pretreatment and 1-week counts at all sites were not statistically significant. Conclusion A significant decrease in C acnes burden occurred after BPO application but was not permanent. Significant rebound occurred just 1 week later.

We aimed to measure the level of agreement and acceptance ratio of the 20-minute versus 60-minute sanitary pad test in female patients with stress urinary incontinence (SUI). This is one-sample cross-experimental design. SUI patients at the Urogynecology Outpatient Clinic at Cipto Mangunkusumo Hospital in Jakarta, Indonesia were consecutively enrolled as participants. We first administered the 20-minute test, followed by the 60-minute test, or vice versa, within 1 week. The participants did not know the type of test performed or asked during the interview. Random Number Generator software by stattrek.com was used to determine which test was performed first for each participant. Participants were interviewed using a questionnaire at the end of each test. The 20-minute sanitary pad test exhibited a good level of agreement with the 60-minute sanitary pad test (kappa R = 0.84). Forty-two respondents (84.0%) reported that they were "satisfied" with the 20-minute sanitary pad test and eight respondents (16.0%) reported that they were "very satisfied". There was a good agreement between the 20-minute and 60-minute sanitary pad test for assessing the severity of SUI. The 20-minute sanitary pad test achieved a relatively higher level of participant satisfaction.Impact statementWhat is already known on this subject? Patients at the Urogynecology Outpatient Clinic at Cipto Mangunkusumo Hospital have a positive acceptance in the 20-minute and 60-minute sanitary pad test for assessing the severity of SUI.What do the results of this study add? From this result, the authors considered that this method can help in assessing the severity of SUI, especially in Indonesia.What are the implications of these findings for clinical practice and/or further research? As these findings, the authors think that they might be useful as a standard of assessed the severity of SUI. This method does not harmful and easy to apply for every patient with SUI.

In recent years, drones have been widely used in many areas such as farming, movie making, surveillance and delivery. So, there is a need to protect these drones against security attacks including hijacking, spying and theft of stored data through the utilization of security mechanisms. Cryptographic keys are needed to operate these security mechanisms, and they must be generated by using random number generators which create unpredictable and non-regenerable random numbers. However, existing random number generators used in drones are not tailored for drones specifically as they use random sources generated on a desktop, not a drone. Recently, random number generators utilizing sensors in mobile phones and IoT (Internet of Things) devices have been studied, but are not appropriate for drones. In this paper, considering that drone sensors must be applied to flight and stationary modes, we proposed a drone specific random number generator called DroneRNG and implemented it. Then, we showed that our DroneRNG passed all of the NIST randomization tests and possesses better statistical properties and unpredictability than random number generators that are currently used in drones.

The paper is devoted to the development and analysis of a software random number gen-erator based on human-computer interaction for software and cryptographic applications. De-scribed is a method of generating random numbers based on human-computer interaction, using time and position of a cursor on a computer or smartphone display. Based on this meth-od, a random number generator has been developed and programmatically implemented. A preliminary analysis of the algorithm was performed, during which 11,000 numbers were gen-erated. The test software for this method has been created, preliminary indicators of generated random numbers have been considered. The random number distribution function is shown to be uniform. The advantage of this generator is its ease of manufacture and operation

Stochastic computing (SC) is a promising technology that can be used for low-cost hardware designs. However, SC suffers from its long latency. Although parallel processing can efficiently shorten the latency, duplicated stochastic number generators (SNGs) are necessary, which cause substantial hardware overhead. This paper proposes a scalable SNG based on the spin-Hall-effect (SHE), which is capable of generating multiple independent stochastic streams simultaneously. The design takes advantages of the efficient charge-to-spin conversion from the Spin-Hall material and the intrinsic stochasticity of nanomagnets. Compared to previous spintronic SNGs, the SHE-SNG can reduce the area by $1.6\times -7.8\times $ and the power by $4.9\times -13\times $ while increasing the degree of parallelism from 1 to 16. Compared to CMOS-based SNGs, the proposed SNG obtained $24\times -120\times $ and $53\times $ reduction in terms of area and power, respectively. Finally, three benchmarks were implemented, and the results indicate that SC implementations with the proposed SHE-SNG can achieve $1.2\times -29\times $ reduction of hardware resources compared to implementations with previous CMOS- and spintronic-based designs while scaling the degree of parallelism from 1 to 64.

In this paper, a security analysis of the pseudo-random number generator based on piecewise logistic map is made, which reveals the existence of a serious problem. Although the assumed safety of this pseudo-random number generator (PRNG) is estimated at 2136, it is possible to carry out successful brute-force attack whose complexity is about 2103. Furthermore, the attack on the analyzed PRNG based on a known sequence of output bits is presented which can reduce the complexity of the brute-attack to about 295. The examples of both attacks are provided in this paper. For the above mentioned reasons, the analyzed PRNG cannot be considered safe for the use in cryptographic systems. An improved version of the analyzed PRNG is proposed, which can eliminate the perceived shortcomings.

Invasive physical attacks on integrated circuits (ICs), such as de-packaging, focused ion beam (FIB) chip editing, and micro-probing attempts, constitute security threats for chips with potentially valuable information, such as smart cards. Using a state-of-the-art circuit-editing technique, an attacker can remove an IC’s top metal layer, leaving its secure information exposed to micro-probing attacks. Security ICs can be seriously threatened by such attacks and thus require on-chip countermeasures. Conventional active shields, however, have difficulty coping with physical attacks based on FIB chip editing (i.e., bypassing the top metal shield). This study presents a novel countermeasure against physical attacks based on the use of a reconfigurable metal shield for both top metal removal and microprobing attack detection. This shield consists of two circuits: an FIB chip editing detection circuit consisting of a random number generator and a micro-probing attempt detection circuit consisting of two conditionally synchronized ring oscillators. Both circuits share a randomly reconfigured top metal shield, which represents a promising solution for security against state-of-the-art invasive attacks.

Background In recent years, there was a rise in ocular injuries secondary to cosmetic laser-assisted hair removal. Purpose To assess the level of adherence to optical safety guidelines during laser-assisted hair removal performed by nurses or physicians in private practice. Methods A cross-sectional study was conducted at thirty-one private laser-assisted hair removal clinics. An electronic random number generator using a cluster random sampling technique was used to select the clinics. The Alexlazr™ (Candela Corp.) device operator's manual checklist was modified to collect data from laser device operators and patients by surveying the laser rooms, interviewing the patients, and observing the treatments. Results Ninety-four patients treated by different service providers were included from 31 private centers. All treatment sessions were delivered by trained nurses. Only 9.5% had acceptable adherence to optical safety guidelines during hair removal treatment, while the majority (90.5%) of service providers were poorly adherent. None of the providers achieved excellent adherence to optical safety guidelines. The item with the least adherence was the lack of non-reflective floors inside laser rooms in 72.3% of centers. All service providers were familiar with the laser system controls and emergency shutdown (100% adherence). Conclusion There is a significant deficiency in the safety precautions at laser-assisted hair removal centers that can result in devastating ophthalmic injuries. Companies providing laser-assisted hair removal machines should be involved in aiding these centers to implement safety procedures.

Most programming languages have in-built functions for the sole purpose of generating pseudo-random numbers. This manuscript is aimed at analyzing the appropriateness of some of these in-built functions for some basic goodness-of-fit statistical tests for random number generators. The document is divided into four sections. The first section gives a broad introduction about randomness and the methods of generation of pseudo-random numbers. Section two discusses the statistical tests that were employed for testing the built-in library functions for random number generation. This section is followed by an analysis of the data collected for the various statistics in the third section, and lastly, the fourth section presents the results of the data analysis.

In view of the shortcomings and problems of the commonly used C language pseudo-random number generation function, the existing C language pseudo-random number generation function is improved, a general pseudo-random number generator based on chaos is proposed, and multiple types of random number acquisition interface are introduced. While improving the randomness of the original C language pseudo-random number function, the procedure of improvement also enhances its versatility and can better meet the needs of different types of random numbers. The test results of the pseudo-random number generator show that the random number generated by it has good randomness, and the function call is convenient and flexible.

ObjectiveTo investigate the effectiveness of high-concentration oxygen on the improvement of throat symptoms and voice changes after thyroid surgery and its protection of the parathyroid function.MethodsA total of 600 patients undergoing thyroid surgery who met the inclusion criteria were randomly divided into the experimental group (n = 300) and the control group (n = 300) by using a random number generator. The patients in the experimental group underwent high-oxygen treatment [FiO280 (8 L/min)] for 6 continuous hours after returning to the ward after surgery. The patients in the control group underwent low-oxygen treatment [FiO230 (2 L/min)] for 6 continuous hours after returning to the ward after surgery.ResultsThe postoperative incision pain score of patients in the experimental group was significantly better than that in the control group at 6 h (1.07 ± 0.80 VS 1.23 ± 0.95, P=0.031) and 12 h (1.08 ± 0.64 VS 1.20 ± 0.73, P=0.041). The postoperative throat pain score of the patients in the experimental group was significantly better than that of the control group at 6 h (1.40 ± 0.85 VS 1.59 ± 0.97, P=0.011) and 12 h (1.40 ± 0.85 VS 1.59 ± 0.97, P=0.019). The PONV score of the patients in the experimental group was significantly better than that of the control group at 12 h (0.09 ± 0.19 VS 0.14 ± 0.37, P=0.024). The Voice Handicap Index score of the patients in the experimental group was significantly better than that of the control group at 24 h (2.89 ± 5.92 VS 4.10 ± 6.31, P=0.017), 36 h (2.46 ± 5.06 VS 3.43 ± 5.97, P=0.035), and 48 h (2.46 ± 5.06 VS 3.43 ± 5.97, P=0.032).ConclusionHigh-concentration oxygen can alleviate PONV and pain after thyroid surgery, with less severe voice changes potentially. However, its effects on swallowing function, and parathyroid function need to be further verified.Clinical Trial Registration NumberChiCTR-IOR-17012765 (China Clinical Trial Registry clinical trial registration center [http://www.chictr.org.cn/index.aspx)

This paper presents a clone system that is deployed to shows the vulnerability of an FPGA based 4-D hyperchaotic random number generator (RNG) that is presented as "True" random number generator. The unknown parameter of the target hyperchaotic RNG is uncovered by using auto-synchronization method. Synchronization is achieved by monitoring only one of the state variable for a limited scalar time. Experimental results support the numerical analysis by predicting the next bit of the RNG.

This preliminary study is based on 38 experimental sittings in which 22 participants attempted to mentally influence an electronic circuit called RSG (Random Signal Generator), while their cerebral activity was recorded by a 14-channel EEG. Subject to sampling, signal peaks with an absolute value greater than a predetermined threshold were selected from the analogical RSG output by a computer program. Whenever a signal exceeded the threshold, an audible ‘beep’ sounded and the participant was asked to mentally increase the frequency of these beeps as much as possible, because a higher beep rate meant a successful mental influence attempt on the RSG. An important objective was to verify the existence of any relationship between a successful mental influence of the RSG and cerebral activity in the participant attempting the influence. Compared to an equal number of ‘inactive’ sittings made without anyone attempting mental action, the ‘active’ sittings show a small increase in the average number of beeps/minute, but in particular a significant increase in the emitted beeps within 1.5 seconds of the previous beep (P

This randomized controlled trial (RCT) aimed to test the efficacy of enhanced access to Cochrane Handbook (Handbook) recommendations for judging the 2011 Cochrane risk of bias (RoB) domains for improving the adequacy of RoB judgments. Parallel- group RCT with a 1:1 allocation ratio (N = 2271 per group) was conducted. Eligible participants were corresponding authors of all published Cochrane reviews and protocols. After allocation by a random number generator, participants received 20 scenarios for assessing RoB. The intervention group was shown tables from the Handbook with instructions for assessing 2011 RoB tool together with scenarios they were supposed to assess-enhanced access to the Handbook. The control group was shown only a general link to the Handbook. The primary outcome was the proportion of participants that made an adequate judgment of RoB scenarios for analyzed domains. There were 240 responses out of 2020 delivered e-mail invitations in the intervention and 197/2254 in the control group. Only five participants from the intervention group judged RoB adequately in all the 20 scenarios and no one in the control group. The proportion of participants who adequately assessed all the scenarios within a domain was significantly higher in the intervention than in the control group. The frequency of adequate RoB judgments was 7.1% (95% CI: 5.0-9.3%, p < 0.001) higher in the intervention group (76.2%) than in the control group (69.0%). The enhanced access yields more adequate RoB assessments and could be incorporated in software supporting the RoB tool.

Laser generates quantum randomness at a rate of 250 trillion bits per second, and could lead to devices small enough to fit on a single chip. Laser generates quantum randomness at a rate of 250 trillion bits per second, and could lead to devices small enough to fit on a single chip.

A new tent map based random number generator (RNG) is designed in TSMC 65 nm CMOS technology. Simulation results verify that the generated random sequences successfully pass the randomness tests in the FIPS-140-2 and NIST 800–22 test suites. Superior to other studies in the literature, our RNG satisfies the randomness tests without post processing. Moreover, the bit generation rate can be increased in exchange of more power consumption. Thus, with the architecture used in this work, robust RNGs needed for security applications can be implemented with higher data rates.

This chapter will describe in detail some important methodologies of nuclear physics probability code, including general introduction, recently developed probability codes, important methodologies applied in OpenMC, including random number generator, random walk, tallies and statistics, and eigenvalue and fixed-source calculations. Moreover, fuel pin modeling for OpenMC is presented, including definition of geometry, materials, tallies, settings. And also running OpenMC in parallel and postprocessing the simulated results are described. Finally, the advanced features of Python API are introduced.

An efficient algorithm using parallel computation methods for multidimensional definite integrals has been developed. Using a standard random number generator, the Holton, Korobov, and Sobol sequences multidimensional integrals and the cor- responding deviation errors are calculated. The dependence of the efficiency of calculating integrals on the sample size and the number of processors in the parallel algorithm is analysed.

Random number generators (RNG) are both building blocks and services on the top of distributed ledgers like blockchains and directed acyclic graphs. In the paper, the authors provide implementation and demonstration of the fault-tolerant RNG algorithm–No-Dealer–for a public directed acyclic graph-based platform called Hedera Hashgraph. The performance tests on the Hedera testnet show that the system meets the real-world requirements. The proposed solution can be used as an RNG service.

The paper is devoted to the analysis of a software random number generator based on human-computer interaction (HCI) for software and cryptographic applications. The article describes method of generating random numbers based on human-computer interaction using time and positions on a computer screen or smartphone. Based on this method, a random number generator was developed and implemented in software. In the course of the work the authors carry out correlation analysis of random numbers obtained by the algorithm, thus, 150001 random vectors consisting of 24 values were generated. Test software for this method has been designed, statistical values and the interdependence of generated random variables are considered. It is shown that random variables are probably independent of each other. The advantage of the considered algorithm for generating random numbers is simplicity in preparation and operation.

In this paper, a deep learning (DL)-based predictive analysis is proposed to analyze the security of a non-deterministic random number generator (NRNG) using white chaos. In particular, the temporal pattern attention (TPA)-based DL model is employed to learn and analyze the data from both stages of the NRNG: the output data of a chaotic external-cavity semiconductor laser (ECL) and the final output data of the NRNG. For the ECL stage, the results show that the model successfully detects inherent correlations caused by the time-delay signature. After optical heterodyning of two chaotic ECLs and minimal post-processing are introduced, the model detects no patterns among corresponding data. It demonstrates that the NRNG has the strong resistance against the predictive model. Prior to these works, the powerful predictive capability of the model is investigated and demonstrated by applying it to a random number generator (RNG) using linear congruential algorithm. Our research shows that the DL-based predictive model is expected to provide an efficient supplement for evaluating the security and quality of RNGs.

True Random Number Generators (TRNGs) are an integral part of any application that involves information security. In this paper, a new digital TRNG is proposed where a Digital Nonlinear Oscillator (DNO) is used with the chaotic sampling of regular waveform method. While the DNO circuit harvests enough entropy using considerably fewer resources compared to conventional digital TRNG structures, the chaotic sampling of regular waveform method removes the need for post-processing, increasing the quality of the generated random data. The designed circuit is implemented on a Zedboard Zynq development kit and tested using the NIST 800-22 test suite. Test results show that the proposed TRNG successfully generates random bits with only 6 LUTs, 14 flip-flops, and with no postprocessing.

International audience; In this paper, we present an approach to perform statistical model-checking over stochastic distributed programs using the SimGrid framework. The distributed programs are modeled using SimGrid, a fast and lightweight framework for the simulation of distributed programs, which we have enhanced in three ways: a cleaner description of the probabilistic evolution of the capacities of resources, a centralized random number generator, and a protocol for the observation of the simulations. We also propose a toolset for the statistical model-checking of those simulated distributed programs, and in particular a prototype tool SimGridStatMC. The toolset is illustrated to evaluate various properties of an implementation of the peer to peer BitTorrent protocol.

In this study, we propose a novel stochastic number generator architecture and prove that the resulting circuit can deliver independent stochastic numbers and improve the accuracy of the calculation results obtained using some recent conventional stochastic computing-based arithmetic circuits. This study is motivated by the increasingly important role of stochastic computing in various fields, such as the digital circuit design, where the stochastic number generators are responsible for a significant share of the hardware cost.

In this study, a univariate model named as Odd Burr III Weibull distribution is developed. This study explains the behavior of the newly developed model and also presents its failure and survival rate functions. Moreover, some unambiguous expression for ordinary moments, moment generating function, incomplete moments, random number generator, mean deviation, entropies and order statistic are provided in this paper. We also discuss the estimation of parameters by using maximum likelihood estimation method. Finally, two real life applications are also provided to observe the flexibility of observed model as compared to some existing models.