Car-following models, as the most popular microscopic traffic flow modeling, is increasingly being used by transportation experts to evaluate new Intelligent Transportation System (ITS) applications. A number of factors including individual differences of age, gender, and risk-taking behavior, have been found to influence car-following behavior. This paper presents a novel idea to calculate ...

Multiagent business objects and Intelligent Multimedia applications tbr Management Science and IT are defined. Amongst he areas are agent computing, modern portfolios, heterogeneous computing, business objects, intelligent databases, intelligent objects, and decision science. A new view to MIS with agent computing and intelligent multimedia is presented. Interaction amongst heterogeneous comput...

rainfall-runoff is one of complex hydrological processes that is affected by a variety of physical and hydrological factors. in this study statistical method armax model, neural network, neuro-fuzzy (anfis subtractive clustering and grid partition) and two hybrid models of this methods were used to simulate rainfall-runoff and prediction of streamflow. in each method optimum structure was deter...

gas hydrate formation in production and transmission pipelines and consequent plugging of these lines have been a major flow-assurance concern of the oil and gas industry for the last 75 years. gas hydrate formation rate is one of the most important topics related to the kinetics of the process of gas hydrate crystallization. the main purpose of this study is investigating phenomenon of gas hyd...

in this paper, load and buckling mode of a smart column are presented. the theoretical model is a three-layer piezoelectric composite beam that behaves as an axial actuating mechanism. this actuator consists of an elastic core sandwiched between two piezoelectric active outer layers. the piezoelectric layers are polarized transversely, i.e., the polarization vector is parallel to the applied el...

Uniaxial compressive strength (UCS) and internal friction coefficient (µ) are the most important strength parameters of rock. They could be determined either by laboratory tests or from empirical correlations. The laboratory analysis sometimes is not possible for many reasons. On the other hand, Due to changes in rock compositions and properties, none of the correlations could be applied as an ...

Current workflow management systems still lack some important features, esp. intelligent failure handling mechanisms. This is due to the static and only implicitly defined meta model of these systems. We argue that intelligent failure handling needs semantically enriched workflow models. We, therefore, propose a meta level architecture for WFMSs providing an explicit and dynamic meta model. Thi...

Intelligent assistants on mobile devices, such as Siri, have recently gained considerable attention as novel applications of dialogue technologies. A tremendous amount of real users of intelligent assistants provide us with an opportunity to explore a novel task of predicting whether users will continually use their intelligent assistants in the future. We developed prediction models of prospec...

In this paper, the computationally intelligent modeling approach for fluidized bed combustion process is considered, as well as intelligent process control based on developed models and soft computing methodologies. Applied genetic optimization and fuzzy modeling approach are combined with proposed intelligent control strategies. Efficient fuzzy nonlinear FBC process modeling by combining sever...

Current workkow management systems still lack some important features, esp. intelligent failure handling mechanisms. This is due to the static and only implicitly deened meta model of these systems. We argue that intelligent failure handling needs semantically enriched workkow models. We, therefore, propose a meta level architecture for WFMSs providing an explicit and dynamic meta model. This c...