Petri nets have become a mature modelling and analysis tool applicable in many application domains. Since the introduction of the Petri net concept in 1962 (Petri 14]), Petri nets have been investigated and applied by many researchers. Many extensions of the classical Petri net have been proposed. To model attributes, `colour' has been added. Time concepts have been added to describe the tempor...

in this research a three dimensional model is explained which simulate the oil spill behavior inseas. this model is the developed version of previous two-dimensional study of aghajanloo et al., 2013.because of three-dimensional nature of the oil dispersion/movement in water, this is a more realistic model of oil spill transport and fate in marine environment. the model is based on eulerian appr...

The increasing complexity of technical systems can only be managed by a multi-disciplinary and holistic approach. Besides technical disciplines like aerodynamics, kinematics, etc. cross-disciplines like safety and project management play an immanent role in the Systems Engineering approach. In this chapter, standards from different cross-disciplines are discussed and merged together to elaborat...

Abstract This paper adopts the concept of random weighting estimation to multi-sensor data fusion. It presents a new random weighting estimation methodology for optimal fusion of multi-dimensional position data. A multi-sensor observation model is constructed for multi-dimensional position. Based on this observation model, a random weighting estimation algorithm is developed to estimate positio...

Enterprise architecture, EA, is an established approach for the model-based and holistic management of IT. The scope of EA is however wide and the predominant EA frameworks suggest the creation of broad and detailed models. IT management cannot control all areas spanned by the present frameworks for EA models. In order to ensure well informed decisions, IT management has a series of questions t...

An Eulerian multi-fluid model is validated by comparison with experimental measurements in the test case of laminar spray counterflow diffusion flames. Special attention is devoted, both from the modelling and experimental point of view, to the treatment of the droplet distribution tail, characterized by the rare occurrence of relatively large droplets carrying a non-negligible amount of mass. ...

How does the brain learn to map multi-dimensional sensory inputs to multi-dimensional motor outputs when it can only observe single rewards for the coordinated outputs of the whole network of neurons that make up the brain? We introduce Multi-AGREL, a novel, biologically plausible multi-layer neural network model for multi-dimensional reinforcement learning. We demonstrate that Multi-AGREL can ...

Liu process is an uncertain process with stationary and independent increments. Multi-dimensional uncertain differential equation is a type of differential equation driven by multi-dimensional Liu process to model a multidimensional dynamic system. This paper aims at proposing a definition of stability in mean for multi-dimensional uncertain differential equations. Then a stability theorem for ...