Modeling and performance evaluation plays an important role on the theoretical research and technology improvement of the Internet of Things (IoT). In the study, the modeling and performance evaluation method based on Petri Nets and behavior expression is presented. Firstly, according to the system information flow chart, the constraint relationship between places and transitions are identified...

Creating Petri Net domain models faces the same challenges that confront all knowledge-intensive AI performance systems: model specification, knowledge acquisition, and refinement. Thus, a fundamental question to investigate is the degree to which automation can be used. This paper formulates the learning task and presents the first machine learning method for Time Interval Petri Net (TIPN) dom...

UML currently still lacks a rigorously defined semantics for its models, which makes formally analyzing a model and verifying its properties extremely difficult. To remedy that, we first present a technique for transforming the UML statechart diagrams into Petri nets. Then we develop an approach based on the class association ends. This approach shows how to validate the system invariants, expr...

process mining includes the automated discovery of petri nets from event logs. these event logs are the starting point for various discovery and analysis techniques of the process.  in this paper process model is developed using colored petri nets (cpns) and the supporting software package cpn tools. the restaurant process model is represented for the analysis using a combination of process min...

In this paper we consider Interval-Timed Petri nets (ITPN), an extension of Timed Petri nets in which the discrete time delays of transitions are allowed to vary within fixed intervals including possible zero durations. These nets will be analyzed for the first time under some maximal step semantics with auto-concurrency. This matches well with the reality of time critical systems which could b...

In this paper, a formal model for antivirus update agent system is presented based on mobile agent technology and predicate/transition Petri nets. The mobile agent system contains two mobile agents called DCA and UNA. It sends out agents to update antivirus on client computers in a network. Each agent takes on a specified responsibility. First, DCA roams through the network and check the last d...

Many Artificial Intelligence decision-making systems operate in cycles. A typical problem-solving cycle might consist of deliberation, scheduling, and execution steps. At the deliberation step a number of feasible actions are generated. They are then evaluated by a scheduler at the scheduling step and the most suitable action is performed at the execution step. This paper presents a scheduling ...

This paper presents an Interval Decision Diagram based approach to symbolic CSL model checking of Continuous Time Markov Chains which are derived from stochastic Petri nets. Matrix-vector and vector-matrix multiplication are the major tasks of exact analysis. We introduce a simple, but powerful algorithm which uses explicitly the Petri net structure and allows for parallelisation. We present re...

Petri nets are graphical and mathematical tools for studying discrete event systems. Petri nets have been under extensive development since Petri defined the language in 1962. Various extensions of Petri nets have been developed to study concurrent, asynchronous, distributed, parallel, deterministic, and stochastic system behavior. This paper provides a quick tutorial to learn the basic termino...