scholarly journals Randomness of Poisson Distributed Random Number in the Queue System

2019 ◽  
Vol 3 (2) ◽  
pp. 110-125
Author(s):  
Ernestasia ◽  
Esther Nababan ◽  
Asima Manurung
Keyword(s):  
Performance Measurement ◽  
Random Number ◽  
Data Distribution ◽  
Queuing System ◽  
Pseudorandom Number Generator ◽  
Random Data ◽  
Simulation Experiments ◽  
Application Program ◽  
Statistical Deviation ◽  
Application Programs

In the queuing system, inter arrival variable and service time variable are probabilistic and its pattern follow a Poisson distribution. Simulations experiment for performance measurement of a queuing system required random data. In practice, random data is built using an application program. Pseudorandom data generated from application programs often have different patterns of randomness, although in each experiment simulated the same data distribution. Level of randomness may cause the results of simulation experiments experienced statistically significant deviations, especially on problems with stochastic variables. Statistical deviation can cause errors in interpreting the results of simulation experiments, especially in the assessment of the performance of the queuing system. It is required to evaluate whether the level of randomness of pseudorandom data effect on simulation results of performance measurement of a system. Simulation experiments on a simple queuing system (M / M / 1) was carried out by using a pseudorandom number generator. Application program used to generate pseudorandom numbers is Fortran90. The experimental results show that the greater the amount of pseudorandom data, the greater the statistical deviations occur, and the smaller the degree of randomness of data. This affects the results of the simulation system in which there is a probabilistic variable that require random data to conduct simulation

A Simple Screen Management System to Aid Quick Development of Interactive Application Programs

1987 ◽  
Vol 24 (2) ◽  
pp. 115-129 ◽  
Author(s):  
A. J. Walker
Keyword(s):  
Management System ◽  
Program Design ◽  
Teaching Environment ◽  
Application Program ◽  
Human Interface ◽  
Interactive Application ◽  
Application Programs

Experience shows that one of the most time consuming aspects of interactive application program design is the development of the human interface. This paper describes a set of procedures for aiding the development of well-engineered interactive programs in a teaching environment.

scholarly journals A new computer-controlled platform for ADC-based true random number generator and its applications

2019 ◽  
pp. 847-860 ◽  
Author(s):  
SELÇUK COŞKUN ◽  
İHSAN PEHLİVAN ◽  
AKİF AKGÜL ◽  
BİLAL GÜREVİN
Keyword(s):  
Random Number ◽  
Random Number Generator ◽  
Digital Data ◽  
Pseudorandom Number Generator ◽  
Number Generator ◽  
Random Number Generators ◽  
True Random Number Generator ◽  
Sample Application ◽  
Computer Controlled ◽  
Entropy Source

The basis of encryption techniques is random number generators (RNGs). The application areas of cryptology are increasing in number due to continuously developing technology, so the need for RNGs is increasing rapidly, too. RNGs can be divided into two categories as pseudorandom number generator (PRNGs) and true random number generator (TRNGs). TRNGs are systems that use unpredictable and uncontrollable entropy sources and generate random numbers. During the design of TRNGs, while analog signals belonging to the used entropy sources are being converted to digital data, generally comparators, flip-flops, Schmitt triggers, and ADCs are used. In this study, a computer-controlled new and flexible platform to find the most appropriate system parameters in ADC-based TRNG designs is designed and realized. As a sample application with this new platform, six different TRNGs that use three different outputs of Zhongtang, which is a continuous time chaotic system, as an entropy source are designed. Random number series generated with the six designed TRNGs are put through the NIST800–22 test, which has the internationally highest standards, and they pass all tests. With the help of the new platform designed, ADC-based high-quality TRNGs can be developed fast and also without the need for expertise. The platform has been designed to decide which entropy source and parameter are better by comparing them before complex embedded TRNG designs. In addition, this platform can be used for educational purposes to explain how to work an ADC-based TRNG. That is why it can be utilized as an experiment set in engineering education, as well.

scholarly journals Sensor-Seeded Cryptographically Secure Random Number Generation

2019 ◽  
Vol 8 (3) ◽  
pp. 1854-1857
Keyword(s):  
Random Number ◽  
Random Sequence ◽  
Random Number Generation ◽  
Sensor Data ◽  
Random Numbers ◽  
Pseudorandom Number Generator ◽  
Random Number Generators ◽  
Secret Keys ◽  
Initialization Vector ◽  
Entropy Source

Random numbers are essential to generate secret keys, initialization vector, one-time pads, sequence number for packets in network and many other applications. Though there are many Pseudo Random Number Generators available they are not suitable for highly secure applications that require high quality randomness. This paper proposes a cryptographically secure pseudorandom number generator with its entropy source from sensor housed on mobile devices. The sensor data are processed in 3-step approach to generate random sequence which in turn fed to Advanced Encryption Standard algorithm as random key to generate cryptographically secure random numbers.

scholarly journals On pseudorandom number generators

ACTA IMEKO ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 128
Author(s):  
Daniel Chicayban Bastos ◽  
Luis Antonio Brasil Kowada ◽  
Raphael C. S. Machado
Keyword(s):  
Programming Languages ◽  
Random Number ◽  
Statistical Tests ◽  
Statistical Test ◽  
Pseudorandom Number ◽  
Pseudorandom Number Generator ◽  
Statistical Sampling ◽  
Simple Task ◽  
Random Number Generators ◽  
Pseudorandom Number Generators

<p class="Abstract">Statistical sampling and simulations produced by algorithms require fast random number generators; however, true random number generators are often too slow for the purpose, so pseudorandom number generators are usually more suitable. But choosing and using a pseudorandom number generator is no simple task; most pseudorandom number generators fail statistical tests. Default pseudorandom number generators offered by programming languages usually do not offer sufficient statistical properties. Testing random number generators so as to choose one for a project is essential to know its limitations and decide whether the choice fits the project’s objectives. However, this study presents a reproducible experiment that demonstrates that, despite all the contributions it made when it was first published, the popular NIST SP 800-22 statistical test suite as implemented in the software package is inadequate for testing generators.</p>

scholarly journals CONFIGURABLE CELLULAR AUTOMATA FOR PSEUDORANDOM NUMBER GENERATION

2005 ◽  
Vol 16 (07) ◽  
pp. 1051-1073 ◽  
Author(s):  
MARIE THERESE QUIETA ◽  
SHENG-UEI GUAN
Keyword(s):  
Cellular Automata ◽  
Random Number ◽  
Random Number Generation ◽  
Pseudorandom Number ◽  
Pseudorandom Number Generator ◽  
New Approach ◽  
Suitable Candidate ◽  
Number Generation ◽  
A Cell ◽  
Pseudorandom Number Generation

This paper proposes a generalized structure of cellular automata (CA) — the configurable cellular automata (CoCA). With selected properties from programmable CA (PCA) and controllable CA (CCA), a new approach to cellular automata is developed. In CoCA, the cells are dynamically reconfigured at run-time via a control CA. Reconfiguration of a cell simply means varying the properties of that cell with time. Some examples of properties to be reconfigured are rule selection, boundary condition, and radius. While the objective of this paper is to propose CoCA as a new CA method, the main focus is to design a CoCA that can function as a good pseudorandom number generator (PRNG). As a PRNG, CoCA can be a suitable candidate as it can pass 17 out of 18 Diehard tests with 31 cells. CoCA PRNG's performance based on Diehard test is considered superior over other CA PRNG works. Moreover, CoCA opens new rooms for research not only in the field of random number generation, but in modeling complex systems as well.

scholarly journals Rancang Bangun Sistem Informasi untuk Menunjang Penyusunan Laporan Keuangan pada Farm Layer Raja Telur

2019 ◽  
Vol 7 (2) ◽  
pp. 102-107
Author(s):  
Hedi Pandowo
Keyword(s):  
Financial Statements ◽  
Computer Application ◽  
Process Data ◽  
Financial Reports ◽  
Application Program ◽  
Business People ◽  
The Government ◽  
General Business ◽  
Tax Reporting ◽  
Application Programs

Post amnesty tax that has been rolled out by the government encourages some business people to compile tax reports in bookkeeping. Farm layer is an industry that is engaged in the production of eggs, is one of the business people with the requirements of reporting tax books. The important thing in the presentation of financial statements to support tax reporting is the availability of adequate human resources and the ability to process data quickly and accurately. In general, business people in the field of farm layer data processing process only on recording data recording and only contains recapitulation of population growth costs. Of course this has not been sufficient for the purposes of preparing financial statements.These problems can be solved by creating a computer application program that functions to accommodate all the activities in the farm layer company. With this computer application program, it is expected that all data management from beginning to end is recorded in detail and is able to produce financial reports quickly and accurately. Keywords: Farm Layer, Recording, Financial Reports, Computer Application Programs

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