Studying dynamic social processes with ARIMA modeling

Fractional ARIMA Processes and Its

Studying Dynamic behavior of Distributed Parameter Processes Behavior Based on Dominant Gain Concept and it’s Use in Controlling these Processes

In this paper, distributed parameter process systems behavior is studied in frequency domain. Based on the dominant gain concept that is developed for such studies, a method is presented to control distributed parameter process systems. By using dominant gain concept, the location of open loop zeros, resulted from the time delay parameter in the process model, were changed from the right half p...

Modeling Dynamic Processes in TLA

The formal development method of VSE (Veriication Support Environment) for state-based systems is based on a variant of TLA. VSE supports structured speciications, modular reenements, and also modular proofs. There are applications where one wants (or has) to consider an indeenite number of processes or even processes that are created and deleted dynamically. The general problem that arises in ...

Network Traffic Modeling and Prediction with ARIMA/GARCH

The predictability of network traffic is a significant interest in many domains such as congestion control, admission control, and network management. An accurate traffic prediction model should have the ability to capture prominent traffic characteristics, such as long-range dependence (LRD) and self-similarity in the large time scale, multifractal in small time scale. In this paper we propose...

Modeling Dynamic Production Systems with Network Structure

This paper deals with the problem of optimizing two-stage structure decision making units (DMUs) where the activity and the performance of two-stage DMU in one period effect on its efficiency in the next period. To evaluate such systems the effect of activities in one period on ones in the next term must be considered. To do so, we propose a dynamic DEA approach to measure the performance of su...