Stochastic models can effectively describe the operating characteristics of power electronic converters with stochastic parameters. However, it is difficult to implement the models in field programmable gate array– (FPGA) based real-time simulation, ...

The True Random Number Generator (TRNG) is an inescapable primitive for security and cryptographic functions. A common TRNG architecture in digital devices exploits the noise jitter accumulation with ring oscillators. The Set-Reset latch (SR-latch)...

This paper is the second part of a series studying the design of the mathematical models for the execution time of user tasks carried out on virtual computing nodes. It analyzes the quality of the proposed models that describe the processing time ...

This paper contains the first part of a study on the design of mathematical models for the execution time of user tasks on virtual calculating nodes. It is assumed that the execution time is a random value with the mean and variance depending on ...

Consider a platform where independent agents arrive at random times and need to be matched into pairs, eventually after waiting for some time. This, for example, models job markets, gaming platforms, kidney exchange programs, etc. The role of the ...

Several options of the stochastic SIR epidemics model with limited treatment are proposed. For these methods, the efficiency of different vaccination strategies is demonstrated, and a method for obtaining the optimal vaccination strategy minimizing the ...

In this article, we present and evaluate a true random number generator (TRNG) design that is compatible with the restrictions imposed by cloud-based Field Programmable Gate Array (FPGA) providers such as Amazon Web Services (AWS) EC2 F1. Because cloud ...

In order to improve the estimation accuracy of structural change points of multi-dimensional stochastic model, the accurate estimation algorithm of structural change points of multi-dimensional stochastic model is studied. A multi-dimensional stochastic ...

The author analyzes the stochastic SIR epidemic model with vaccination and limited treatment. A method for obtaining the optimal vaccination strategy that minimizes the cost functional is proposed.

Cloud computing is an on-demand model that computes shared and dynamic resource availability in a remote or independent location. Cloud computing provides many services online to clients in a pay-as-you-go manner. Nowadays, many organizations use cloud ...

This paper develops a finite approximation approach to find the solution $F(x)$ of integral equations in the form $F(x) = \xi(x)+\int_\mathbb{R} \kappa(x,u) dF(u)\ \forall x\in\mathbb{R}$, where the unknown distributional solution $F(x)$ defines the ...

• We consider two antimicrobials to be used in a health care facility.
• Infecting ...

Background and objectives. We present a heuristic solution method to the problem of choosing hospital-wide antimicrobial treatments that minimize the cumulative infected patient-days in the long run in a health care ...

Mobius is well known as a modeling and evaluation environment for performance and dependability indicators. It has been conceived in a modular and flexible fashion, to be easily expanded to incorporate new features, formalisms and tools. The need of ...

Problem definition : Participants in matching markets face search and screening costs when seeking a match. We study how platform design can reduce the effort required to find a suitable partner. Practical/academic relevance : The success of matching ...

This article presents a mathematical modelling, using stochastic analysis, of the effect of an interference buildup caused by a sudden increase in the number of users that access a digital cellular communication system. For such an increase in power, a ...

We study the effect of imperfect memory on decision making in the context of a stochastic sequential action-reward problem. An agent chooses a sequence of actions, which generate discrete rewards at different rates. She is allowed to make new choices at ...

Overlapping community detection has triggered recent research in network analysis. One of the promising techniques for finding overlapping communities is the popular stochastic models, which, unfortunately, have some common drawbacks. They do not ...

Parametric sensitivity analysis is a critical component in the study of mathematical models of physical systems. Due to its simplicity, finite difference methods are used extensively for this analysis in the study of stochastically modeled reaction ...

Industry devices (i.e., entities) such as server machines, spacecrafts, engines, etc., are typically monitored with multivariate time series, whose anomaly detection is critical for an entity's service quality management. However, due to the complex ...

LINE is an open source library to analyze systems that can be modeled by means of queueing theory. Recently, a new major release of the tool (version 2.0.0) has introduced several novel features, which are the focus of this demonstration. These include, ...