Results 21 to 30 of about 20,113 (245)

An Advanced Environment for Hybrid Modeling of Biological Systems Based on Modelica

open access: yesJournal of Integrative Bioinformatics, 2011
Biological systems are often very complex so that an appropriate formalism is needed for modeling their behavior. Hybrid Petri Nets, consisting of time-discrete Petri Net elements as well as continuous ones, have proven to be ideal for this task ...
Proß Sabrina, Bachmann Bernhard
doaj   +2 more sources

Improving Business Process Efficiency for Supply Chain Finance: Empirical Analysis and Optimization Based on Stochastic Petri Net

open access: yesIEEE Access, 2020
Efficient business process is important to the operations of supply chain finance (SCF). Many deficiencies exist in the processes of SCF such as complicated workflows and high time-consuming steps. However, few studies have paid attention to evaluate and
Xuhong Ye   +4 more
doaj   +1 more source

HEALTHCARE CRITICAL INFRASTRUCTURE STOCHASTIC INTERDEPENDENCIES SIMULATION MODEL FOR SMART CITIES: FLOOD DISASTER SCENARIO [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Healthcare Critical Infrastructure (HCI) is not an independent network; the operation of a healthcare facility depends on many other Critical Infrastructure (CI) networks such as electric supply CI, water supply CI, etc., forming an interdependent CI ...
N. Nukavarapu, S. Durbha
doaj   +1 more source

Adequate Models for Multiprocessor Stochastic Systems [PDF]

open access: yesمجلة التربية والعلم, 2012
In this paper, two models are presented for Multiprocessor Stochastic Systems (MSS). The first one is the Generalized Semi-Markov Process (GSMP), the second is the Generalized Stochastic Petri Net (GSPN).
Nadwa S. Younis
doaj   +1 more source

Energy Consumption Model of Embedded Software Based on Stochastic Petri Net [PDF]

open access: yesJisuanji gongcheng, 2017
Traditional software energy consumption measurement mode is to measure actually after the software design is completed to gain energy consumption value,so it cannot provide references for development via definite data in software design periods.This ...
ZHANG Jing,WANG Zhongzheng,FAN Hongbo
doaj   +1 more source

Cluster Grid based Response-time analysis module for the PIPE Tool. [PDF]

open access: yes, 2007
Generalized Stochastic Petri Nets (GSPNs) are a widely used high-level formalism used for modelling discrete-event systems. The Platform Independent Petri net Editor (PIPE) is an open source software project that allows creation, analysis and simulation ...
Argent-Katwala, A   +2 more
core   +2 more sources

Dynamic Reliability Model for Airborne Systems Based on Stochastic Petri Net

open access: yesXibei Gongye Daxue Xuebao, 2020
The reliability of the airborne systems have a significant influence on the safety of aircraft. The modern airborne systems have a high degree of automation and integration, which lead to obvious dynamic failure characteristics. Namely, system failure is

doaj   +1 more source

Availability Analysis of Software Systems with Rejuvenation and Checkpointing

open access: yesMathematics, 2021
In software reliability engineering, software-rejuvenation and -checkpointing techniques are widely used for enhancing system reliability and strengthening data protection.
Junjun Zheng   +2 more
doaj   +1 more source

Using the probabilistic evaluation tool for the analytical solution of large Markov models [PDF]

open access: yes, 1995
Stochastic Petri net-based Markov modeling is a potentially very powerful and generic approach for evaluating the performance and dependability of many different systems, such as computer systems, communication networks, manufacturing systems, etc.
Haverkort, Boudewijn R.   +1 more
core   +4 more sources

Bisimulation Relations Between Automata, Stochastic Differential Equations and Petri Nets [PDF]

open access: yes, 2010
Two formal stochastic models are said to be bisimilar if their solutions as a stochastic process are probabilistically equivalent. Bisimilarity between two stochastic model formalisms means that the strengths of one stochastic model formalism can be used
Henk A.P. Blom   +3 more
core   +3 more sources

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