Random Number Generation Method Research Articles

A new approach to the diagnosis and surgical treatment of uterine scar defect after cesarean section

Introduction. An increase in the number of cesarean sections in the world leads to an increase in cases of formation of scar defects on the uterus, which requires attention and the use of new diagnostic and treatment methods. Studying the healing processes of the myometrium is key to preventing the formation of a uterine scar defect, and improvements in diagnostic methods and surgical techniques can reduce the risk of recurrence of a uterine scar defect.Purpose of the study. To develop an effective algorithm for the management of women with a uterine scar defect at the stage of preparation for pregnancy.Materials and methods. A prospective randomized cohort study was conducted using a random number generator method with the participation of 100 women with a uterine scar defect after cesarean section. The participants were divided into two groups: in the first group (35 women), surgical treatment was performed using an anchor thread and a collagen-based hemostatic matrix, while in the second group (65 women), surgical treatment was carried out in the traditional way (laparoscopic metroplasty without the use of additional techniques).Results. A mathematical model has been developed for predicting the risk of recurrence of a uterine scar defect. Using the method of step-by-step discriminant analysis, the most informative predictors of the formation of a recurrent uterine scar defect were identified: shear wave magnitude indicators according to ultrasound elastography, the presence of a cyst in the uterine scar area, the expression of receptors for progesterone and estradiol in the endometrial glands, the expression of CD20 cells and CD138 cells. plasma cells according to an immunohistochemical study of the endometrium.Conclusion. Understanding the main reasons for the formation of a scar defect and the risk factors for its recurrence will make it possible to more accurately predict the outcomes of laparoscopic metroplasty and choose the most appropriate treatment tactics for each specific patient, which, in turn, can improve the overall treatment results and the quality of life of women

Sideband Vibro-Acoustics Suppression and Numerical Prediction of Permanent Magnet Synchronous Motor Based on Markov Chain Random Carrier Frequency Modulation

This paper presents a Markov chain random carrier frequency modulation (MRCFM) technique for suppressing sideband vibro-acoustic responses caused by discontinuous pulse-width modulation (DPWM) in permanent magnet synchronous motors (PMSMs) for new energy vehicles. Firstly, the spectral and order distributions of the sideband current harmonics and radial electromagnetic forces introduced by DPWM are characterized and identified. Then, the principle and implementation method of three-state Markov chain random number generation are proposed, and particle swarm optimization (PSO) algorithm is chosen to quickly find the key parameters of transition probability and random gain. A Simulink and JMAG multi-physics field co-simulation model is built to simulate and predict the suppression effect of the MRCFM method on the sideband vibro-acoustic response. Finally, a 12-slot-10-pole PMSM test platform is built for experimental testing. The results show that the sideband current harmonics and vibro-acoustic response are effectively suppressed after the optimization of Markov chain algorithm. The constructed multi-physics field co-simulation model can accurately predict the amplitude characteristics of the sideband current harmonics and vibro-acoustic response.

Cylindrical Models Motivated through Extended Sine-Skewed Circular Distributions

Cylindrical Models Motivated through Extended Sine-Skewed Circular Distributions

Penerapan Multiply With Carry Generator pada Proses Pembangkitan Kunci Algoritma Beaufort Cipher

The strength of the algorithm used in data security does not only depend on the complexity of the algorithm used, but lies in the randomness and complexity of the key solving used. The repetition of the same character in the formation of a key used by a data security algorithm is very vulnerable to attack, because it can make it easier for attackers to break the algorithm itself. One of the commonly used data security algorithms is the comfort cipher algorithm. The number of key characters needed in this algorithm is directly proportional to or equal to the number of characters of text or data that is secured. Using a number of key characters like this allows the repetition of the same characters, making it easier for attackers to find out the pattern of the keywords used. Based on this, random key generation is necessary to optimize the robustness of the algorithm used. Multiply with carry generator is a random number generation technique that has advantages in speed and length of randomization cycle so that it has more seed variations to the generated random numbers. This study describes how to apply this random number generation method to generate keywords used in the beaufort cipher algorithm, so that the keys used can be more optimal and more complicated for attackers to crack.

Anti Cheat of Computer Based Test Application in Enterpreneurship Exams using The Multiplicative Random Number Generator Method

Anti Cheat of Computer Based Test Application in Enterpreneurship Exams using The Multiplicative Random Number Generator Method

Research on static fault tree analysis method for inerting system safety based on random number generation

PurposeTo reduce the flammability exposure assessment time and meet the requirements of airworthiness regulations of transport aircraft, inerting system has become the standard configuration of modern civil aircraft. Therefore, airworthiness regulations put forward definite quantitative index requirements for the safety of inerting system, and to obtain the quantitative data of the safety of inerting system, it is necessary to solve the calculation method. As one of the quantitative/qualitative evaluation techniques for system safety, fault tree analysis is recognized by international airworthiness organizations and national airworthiness certification agencies. When fault tree analysis technology is applied to quantitative analysis of the safety of inerted system, there are still some problems, such as heavy margin of constructing fault tree, great difficulty, high requirement for analysts and poor accuracy of solving when there are too many minimum cut sets. However, based on tens of thousands of flight simulation tests, Monte Carlo random number generation method can solve this problem.Design/methodology/approachIn this paper, the fault tree of airborne inerting system is established, and the top event is airborne inerting system losing air separation function. Monte Carlo method based on random number generation is used to carry out system security analysis. The reliability of this method is verified.FindingsThe static fault tree analysis method based on Monte Carlo random number generation can not only solve the problem of quantitative analysis of inerting system, but can also avoid the defects of complicated solution and inaccurate solution caused by the large number of minimum cut sets, and its calculation results have good reliability.Practical implicationsThe research results of this paper can be used as supporting evidence for airworthiness compliance of airborne inerting system.Originality/valueThe research results of this paper can provide practical guidance for the current civil airworthiness certification work.

Experimental Validation of a Chaotic Jerk Circuit Based True Random Number Generator

A method for true random number generation by directly sampling a high frequency chaotic jerk circuit is explored. A method for determination of the maximum Lyapunov exponent, and thus the maximum bit rate for true random number generation, of the jerk system of interest is shown. The system is tested over a wide range of sampling parameters in order to simulate possible hardware configurations. The system is then implemented in high speed electronics on a small printed circuit board to verify its performance over the chosen parameters. The resulting circuit is well suited for random number generation due to its high dynamic complexity, long term aperiodicity, and extreme sensitivity to initial conditions. This system passes the Dieharder RNG test suite at 3.125 Mbps.

Application of Linear Congruential Generator (LCG) Algorithm in Android Based Mathematics Education Game

Mathematics is a lesson learned from elementary, junior high, high school to tertiary levels. Many students have a negative attitude towards mathematics because mathematics is considered very boring and is considered the most difficult subject among other subjects, this can cause students to find it difficult to learn mathematics. Of course, the very rapid development of technology cannot be separated from the role of mathematics. Mathematics is a science that is the basis for the development of modern technology. Apart from that, mathematics also has an important role in various aspects of life. Solutions to help students understand mathematics, including through educational games. Educational games are techniques that can motivate and provide a better learning experience. The Linear Congruential Generator (LCG) algorithm is a random number generation method that is widely used in computer programs that utilize linear models. The results showed that the Linear Congruential Generator (LCG) method in the mathematics education game was successfully applied. Based on the results of game testing using questionnaires to students, teachers, and the general public (student guardians), it was found that the application made was included in the "Very Good" category with an average result of 80.55%.

A comparative analysis on chaos-based random number generation methods

A comparative analysis on chaos-based random number generation methods

Scheme for Generating True Random Numbers using Electro-mechanical Switches

This paper proposes a novel method for generating True Random Numbers (TRNs) using electromechanical switches. The proposed generator is implemented using an FPGA board. The system utilizes the phenomenon of electromechanical switch bounce to produce a randomly fluctuated signal that is used to trigger a counter to generate a binary random number. Compared to other true random number generation methods, the proposed approach features a high degree of randomness using a simple circuit that can be easily built using off-the-shelf components. The proposed system is implemented using a commercial relay circuit connected to an FPGA board that is used to process and record the generated random sequences. Applying statistical testing on the experimentally generated sequences revealed a high degree of randomness, which proves its viability to modern applications, such as cryptography and communication system simulation and modeling.

An Efficient Random Number Generation Method for Molecular Simulation.

We propose a new random number generation method, which is the fastest and the simplest of its kind, for use with molecular simulation. We also discuss the possibility of using this method with various other numerical calculations. To demonstrate the significant increases in calculation speeds that can be gained by using our method, we present a comparison with prior methods for dissipative particle dynamics (DPD) simulations. The DPD method uses random numbers to reproduce thermal fluctuations of molecules. As such, an efficient method to generate random numbers in parallel computing environments has been widely sought after. Several random number generation methods have been developed that use encryption. In this study, we establish for the first time that random numbers with desirable properties exist in the particle coordinates used in DPD calculations. We propose a method for generating random numbers without encryption that utilizes this source of randomness. This is an innovative method with minimal computational cost, since it is not dependent on a complicated random number generation algorithm or an encryption process. Furthermore, our method may lead to faster random number generation for many other physical and chemical simulations.

Hybrid quantum random number generator for cryptographic algorithms

The subject matter of the article is pseudo-random number generators. Random numbers play the important role in cryptography. Using not secure pseudo-random number generators is a very common weakness. It is also a fundamental resource in science and engineering. There are algorithmically generated numbers that are similar to random distributions but are not random, called pseudo-random number generators. In many cases the tasks to be solved are based on the unpredictability of random numbers, which cannot be guaranteed in the case of pseudo-random number generators, true randomness is required. In such situations, we use real random number generators whose source of randomness is unpredictable random events. Quantum Random Number Generators (QRNGs) generate real random numbers based on the inherent randomness of quantum measurements. The goal is to develop a mathematical model of the generator, which generates fast random numbers at a lower cost. At the same time, a high level of randomness is essential. Through quantum mechanics, we can obtain true numbers using the unpredictable behavior of a photon, which is the basis of many modern cryptographic protocols. It is essential to trust cryptographic random number generators to generate only true random numbers. This is why certification methods are needed which will check both the operation of the device and the quality of the random bits generated. The goal of the research is also to develop the model of a hybrid semi self-testing certification method for quantum random number generators (QRNG). The tasks to be solved are to create the mathematical model of a random number generator, which generates the fast random numbers at a lower cost. To create the mathematical model of a hybrid semi self-testing certification method for quantum random number generators. To integrate a hybrid semi self-testing certification method to the hybrid random number generator. the methods used are mathematical optimization and simulation. The following results were obtained: we present the improved hybrid quantum random number generator, which is based on QRNG, which uses the time of arrival of photons. The model of a hybrid semi self-testing certification method for quantum random number generators (QRNG) is offered in the paper. This method combines different types of certification approaches and is rather secure and efficient. Finally, the hybrid certification method is integrated into the model of the new quantum random number generator. Conclusions. The scientific novelty of the results obtained is as follows: 1. The hybrid quantum random number generator is offered, which is based on QRNG, which uses the time of the arrival of photons. It uses the simple version of the detectors with few requirements. The hybrid QRNG produces more than one random bit per the detection of each photon. It is rather efficient and has a high level of randomness. 2. The hybrid semi self-testing certification method for quantum random number generators (QRNG) is offered. The Self-testing, as well as device-independent quantum random number generation methods, are analyzed. The advantages and disadvantages of both methods are identified. Based on the result the hybrid method is offered. 3. The hybrid semi self-testing certification method for quantum random number generators is integrated into the offered model of the quantum random number generator. The paper analyzes its security and efficiency. The paper offers to use the new random number generator in the crypto-schemes.

The effects of whole body vibration on gait after chronic stroke: A Randomized Controlled Clinical Trial.

To determine the effects of whole body vibration therapy on gait in chronic stroke patients. The randomised, assessor-blinded, controlled clinical study was conducted at the Physiotherapy Department, Lahore General Hospital, Lahore, Pakistan, from November 2017 to April 2019, and comprised chronic stroke patients wh were randomly divided into two equal groups, with group A reciving routine physiotherapy and group B reciving whole-body vibration therapy. Both the groups received 12 sessions each. Vibration therapy was given with an amplitude of 3mm and frequency of 20Hz. Sessions comprised 5 bouts of 120 seconds with 60s rest intervals for 6 days/week for 2 weeks in erect standing position. The outcome measure was the score of timed up and go test and 10-meter walk test before and after intervention. Data was analysed using SPSS 21. Of the 64 patients, there were 32(50%) in each of the two groups. Significant difference was seen post-intervention in both the groups (p<0.05) although both groups were statistically same in terms of Timed Up and go Test, 10 Meter walk Test Slow Speed and 10 Meter walk Test Fast Speed (p>0.05). Walking speed improved with both treatments i.e. whole-body vibration therapy and routine physiotherapy in chronic stroke survivors. Identifier: IRCT20190328043131N1:https://www.irct.ir/user/trial/38832/view.

A simple high-speed random number generator with minimal post-processing using a random Raman fiber laser

A simple novel method for random number generation is presented, based on a random Raman fiber laser. This laser is built in a half-open cavity scheme, closed on one side by a narrow-linewidth 100 mm fiber Bragg grating. The interaction between the randomly excited lasing modes of this laser, in addition to nonlinear effects such as modulation instability, allow the generation of random bits at rates of up to 540 Gbps with minimal post processing. Evaluation of the resulting bit streams’ randomness by the NIST statistical test suite highlights the importance of evaluating the physical entropy content, as bit sequences generated by this random laser pass all the statistical tests with a significance level of 0.01, despite being generated at more than twice the theoretical entropy generation speed.

Novel Certification Method for Quantum Random Number Generators

Random numbers have many uses, but finding true randomness is incredibly difficult. Therefore, quantum mechanics is used, using the essentially unpredictable behavior of a photon, to generate truly random numbers that form the basis of many modern cryptographic protocols. It is essential to trust cryptographic random number generators to generate only true random numbers. This is why certification methods are needed which will check both the performance of our device and the quality of the random bits generated. Self-testing as well as device independent quantum random number generation methods are analyzed in the paper. The advantages and disadvantages of both methods are identified. The model of a novel semi self-testing certification method for quantum random number generators is offered in the paper. This method combines different types of certification approaches and is rather secure and efficient. The method is very important for computer science, because it combines the best features from selftesting and device independent methods. It can be used, when the random numbers’ entropy depends on the device and when it does not. In the related researches, these approaches are offered to be used separately, depending on the random number generator. The offered novel certification technology can be properly used, when the device is compromised or spoiled. The technology can successfully detect unintended irregularities, operational problems, abnormalities and problems in the randomization process. The offered mythology assists to eliminate problems related to physical devices. The offered system has the higher certification randomness security and is faster than self-testing approaches. The method is rather efficient because it implements the different certification approaches in the parallel threads. The offered techniques make the offered research must more efficient than the other existing approaches. The corresponding programming simulation is implemented by means of the simulation techniques.

Evaluation of some soil characteristics from field SPT values using random number generation technique

Several engineering attributes, such as soil strength and deformability, are very significant and are regarded as the basis of any sort of foundation design. In determining the vibration extent depending on the used soil numerical models, soil characteristics represented by the shear wave velocity, cohesion, angle of internal friction and Poisson’s ratio are crucial. Different kinds of parameters are identified in various used manuals in numerical modelling. The outputs of these numerical programs are commonly dependent on the input parameters. Thus, in the analysis of any geotechnical problem, the correct selection of rigorous values of the engineering properties of the soil is extremely serious. In this study, a set of field data for Standard Penetration Test (SPT) values has been collected from more than twenty different places in Kirkuk city. In addition, using the random number generation method, several empirical relationships of various soil properties have been advanced in terms of the spectrum of the collected SPT values. The functional benefit of the relationships developed can be used to validate the observed experimental geotechnical data integrated in the architecture of the different civil engineering ventures. As a result, for the SPT-N values ranged from 4 to 44, the predicted soil cohesion and angle of internal of friction increased from 17 kPa to 281 kPa and 4° to 38° respectively. As an overall evaluation, the shear wave velocity ranged from 72 (m/s) to 367 (m/s) whereas the field and predicted UCS varied from 60 kPa to 320 kPa and 54 kPa to 400 kPa respectively.

Effects of dynamic stabilization exercises and muscle energy technique on selected biopsychosocial outcomes for patients with chronic non-specific low back pain: a double-blind randomized controlled trial.

Low back pain is the most prevalent musculoskeletal condition, and causes activity limitations which result in reduced work productivity and high medical expenditure. The management of this condition has been challenging to both clinicians and researchers. While the use of Muscle Energy Technique (MET) as a potentially effective treatment strategy seems promising, studies examining MET combined with exercise therapy are scarce and studies with strong methodology are lacking. Therefore, this study aims to determine the effects of a combination of Dynamic Stabilization Exercises (DSE) and MET on selected biopsychosocial outcomes compared to DSE alone or conventional physiotherapy in the management of chronic non-specific low back pain (NSLBP). A total of 125 (80 male and 45 female) patients with chronic NSLBP were involved in this study, they were recruited from Rasheed Shekoni Teaching hospital and Federal Medical centre Birnin-Kudu, Jigawa State, Nigeria. A random number generator method was used to allocate patients to either DSE+MET (n=41), DSE alone (n=39) or conventional physiotherapy (n=45). Interventions were administered twice a week over 12 weeks. Outcome measures included pain intensity, lumbar (flexion and extension) range of motion, functional-disability, self-perceived health status, limitations in activities and participation restrictions. These were assessed at baseline, mid-intervention at six weeks, post-intervention at 12 weeks and long term follow-up at 24 weeks. Data was analyzed using repeated-measures ANOVA to determine significance difference within groups and between groups. All intervention groups showed within-groups changes of the study outcomes over time (p<0.001). However, between-group comparisons showed greater improvements in pain intensity (F=7.91, p<0.001), lumbar ROM (flexion F=1.51, p<0.001; extension F=3.25, p<0.001), activity limitations/participation restrictions (F=3.7, p<0.001) and health status (F=10.9, p<0.001) for the intervention in which MET and DSE were combined. The MET plus DSE interventions were superior to DSE and convention physiotherapy for all outcome measures, except for functional disability (F=0.53, p=0.590). The data from this study showed MET combined with DSE had greater therapeutic benefits compared to DSE or conventional physiotherapy on selected biopsychosocial outcomes in patients with chronic NSLBP. The findings from the study show that the combination of MET with DSE is safe and has beneficial effects in the management of patients with chronic NSLBP. The study protocol has been registered with www.ClinicalTrial.gov with the registration number NCT3449810.

A Hardware-Oriented Random Number Generation Method and A Verification System for FPGA

A Hardware-Oriented Random Number Generation Method and A Verification System for FPGA

Coordinated Control of Air-Conditioning Loads for System Frequency Regulation

The increasing penetration of renewable generation presents challenges for system frequency regulation due to short-term power fluctuations and system inertia reductions. This article presents a coordinated control strategy for frequency regulation in which inverter air-conditioning (IAC) units are used to perform primary frequency regulation (PFR) and fixed frequency air-conditioning (FFAC) units are used to perform secondary frequency regulation (SFR). In PFR, the regulation power is provided by adjusting the setpoints of the IAC units. A random number generation method is proposed to stochastically trigger IAC units based on the frequency deviation in real time. Furthermore, a recovery method is presented to stably restore the IAC units to their initial operating states after regulation. In SFR, a constant equivalent duty ratio method is raised to keep the regulation power stable over a long instruction interval. Based on this, the transforming time interval method is presented to determine the ON/OFF status of FFAC units to provide the required regulation power. Additionally, a recovery method for FFAC units is proposed to mitigate the power rebound after regulation. The proposed control strategy achieves an improved frequency regulation effect with fewer communication demands. Dynamic simulations in a six-machine two-area system and an isolated microgrid with wind power verify the effectiveness of the proposed control strategy.

Implementation of LCM (Linear Congruent Method) Method in Region Song Game

The Regional Song Game is a game that educates players to hone the ability of knowledge about folk songs in the form of questions given the Regional Song game. With the game Regional Songs, players can expand the ability of players about the knowledge of regional songs. Aside from being a means of entertainment, games can also be an exciting learning medium and do not make players bored, so it becomes a pleasant learning atmosphere. The linear congruent method (LCM) is a random number generator method that is widely used by computer programs. The application of the Linear Congruent Method (LCM) in the Regional Song game is intended to randomize the questions that will be displayed by the Regional Song game. Regional Songs Game is an application designed to provide insights about folk songs for the players. This game aims to reintroduce folk songs to the people lost by the ages.