Management of dynamic processes in an important issue in rapidly changing organizations. Workflow management systems are systems that use detailed process models to drive the business processes. Current business process modelling languages and models are of imperative nature – they strictly prescribe how to work. Systems that allow users to maneuver within the process model or even change the m...

In this research, the feasibility of using mathematical modelling in the ball milling process has been evaluated to verify the hardness changes of an aluminium nanostructure. Considering the model of normal force displacement (NFD), the radius of elastic-plastic and normal displacement of two balls were computed by applying analytical modelling and coding in MATLAB. Properties of balls and alum...

In this study, a more accurate model of fuel cell of molten carbonate was also used that was determined input and output control variables and investigated the behavior of the system with respect to those variables. A more complete kinetic is also implemented for increasing the effectiveness of the presented paper. The input variables include fuel flow rate of cell which is methane and cell vol...

1. Background In modelling fault-tolerant systems , space state based approaches such as dynamic fault trees (DFTs) [4], have been shown to increase the power of traditional combinatorial models, like static fault trees (FTs) [9]. However, in practice, these approaches have severe limitations when dealing with the increasing complexity of component dependencies and failure behaviours of today’s...

Enterprise modelling techniques support business process re engineering by capturing existing processes and based on perceived outputs, support the design of future process models capable of meeting enterprise requirements. System dynamics modelling tools on the other hand are used extensively for policy analysis and modelling aspects of dynamics which impact on businesses. In this paper, the u...

Automatic music generation is a compelling task where much recent progress has been made with deep learning models. In this paper, we ask how these models can be integrated into interactive music systems; how can they encourage or enhance the music making of human users? Musical performance requires prediction to operate instruments, and perform in groups. We argue that predictive models could ...

Dynamic process modelling is generally accomplished from experts’ knowledge through Knowledge Engineering (KE); however, the obtained models are sometimes deficient for interpreting the input data flow coming from the real process evolution perceived through sensors. This shortcoming lies in specialists’ tacit knowledge, difficult to elicit, and in that certain process phenomena are unknown or ...

Recently, data driven fuzzy modelling has drawn a great deal of attention not only from academia but also from industry. However, a dynamic fuzzy model might be difficult to develop when training data do not contain sufficient information about the process nonlinearity. In order to avoid this problem and to reduce the model complexity, this paper presents a fuzzy Hammerstein (FH) modelling appr...

This study presents a novel dynamic modelling of a rigid serial manipulator using a compact formula of inertia tensor to simplify dynamic modelling and mathematical transformations. The matrix transformation is used appropriately as a powerful tool for this purpose. The kinetic energy, the potential energy and the inertia matrix of manipulator all are formulated in Denavit-Hartenberg frames (D-...

Computer-based tools for modelling and simulation have changed the best practise of product development. Simulation of mechanical dynamic systems have a large potential in product development but are only partly used today due to, for example, modelling complexity. A method, or tool, that supports distribution of multibody dynamic analysis models, in a modular way, is proposed and developed. Et...