The present study aims at developing a forecasting model to predict the next year’s air pollution concentrations in the atmosphere of Iran. In this regard, it proposes the use of ARIMA, SVR, and TSVR, as well as hybrid ARIMA-SVR and ARIMA-TSVR models, which combined the autoregressive part of the autoregressive integrated moving average (ARIMA) model with the support vector regression technique...

The recognition and the calculation of all branches of solutions of the nonlinear boundary value problems is difficult obviously. The complexity of this issue goes back to the being nonlinearity of the problem. Regarding this matter, this paper considers steady state reactive transport model which does not have exact closed-form solution and discovers existence of dual or triple solutions in so...

the main goal of the present study was to implement a hybrid pattern of cellular automata model and particle swarm optimization algorithm based on tm and etm+ imagery of landsat satellite from 1988 to 2010 for simulating the urban sprawling. in this study, an alternative model was implemented in two ways: the first method was based on two images (1988 and 2010) and the second one was based on t...

Hybrid simulation involves the use of multiple simulation paradigms, and is becoming an increasingly common approach to modelling modern, complex systems. Despite growing interest in its use, little guidance exists for modellers regarding the nature and variety of hybrid simulation models. Here, we concentrate on one particular hybrid – that involving agent-based and system dynamics models. Bas...

prediction of precipitation is very important. regarding to the non- linear relationships and uncertainty of models, there is no superior and persuasive model among various proposed models to simulate precise precipitation and its amount. wavelet is one of the novel and very effective methods in time series and signals analyzing, that has been considered in the field of hydrology in recent year...

This paper addresses the issue of an optimal selection of the production and delivery plan for an asphalt base process. The process is modeled as a DHA (Discrete Hybrid Automaton) using the high level modeling language HYSDEL (HYbrid System DEscription Language) that allows converting the DHA model into an MLD (Mixed Logical Dynamical) model. The proposed solution applies to a class of optimal ...

We propose an hybrid microsimulation and agent-based model of mobility integrating migration and residential mobility. We tested it on the evolution of the population of the Cantal, a French “département” with 150,000 inhabitants. We calibrated it using various data sources from 1990 to 2006, and tested its predictions on other data of the same period and on the period 20072012. The spatial het...

In this study, effect of energy price on the development of a biomass gasification-solid oxide fuel cell-gas turbine hybrid power plant has been considered. Although, these hybrid systems have been studied based on sustainable approaches, economic aspects, specifically conventional energy prices, which are the principal bottleneck for the development of these new power generators, have attracte...

This paper is concerned with model-based testing of hybrid systems. The first result is an algorithm for test generation which enhances the coverage of critical trajectories by using a random walk. The second result is a framework for practical testing that includes a state estimator. When the state of a system under test cannot be directly observed, it is necessary to reconstruct the trajector...

Input-output conformance test theory for discrete systems has established itself in research and industry already. A couple of years ago also input-output conformance test theories for timed systems were defined. The next step is to develop conformance test theory for hybrid systems as well. In this report we present a conformance relation for model-based testing of hybrid systems and we formal...