In this paper a high-level Petri net model called M-nets (for multilabeled nets) is developed. A distinctive feature of this model is that it allows not only vertical unfolding, as do most other high-level net models, but also horizontal composition in particular, synchronisation in a manner similar to process algebras such as CCS. This turns the set of M-nets into a domain whose composition op...

Components should provide maximum flexibility to increase their reusability in different applications and to work under changing environment conditions as part of a single application. Thus, adaptation and reconfiguration mechanisms of single components and component assemblies play a crucial role in achieving this goal. In this paper we present a model of Adaptable Components that allows model...

Much attention has been devoted in the past to support classes of applications which are not well served by conventional database systems. Focusing on the application domain of geographic information systems (GIS), several architectural approaches have been proposed to implement commercial or prototype systems and satisfy the urgent needs for geographic data handling. However, those systems suf...

Efficiency in data manipulation is of vital importance to ERP systems. Flexible data manipulation API helps to address a number of acute needs of end users and application developers. To be efficient the API must meet a number of requirements: (i) allow data operations at any granularity level, (ii) guarantee data integrity, (iii) be scalable, (iv) allow cross-platform invocations, (v) be conve...

An increasing number of programming languages, such as Fortran 90 and APL, are providing a rich set of intrinsic array functions and array expressions. These constructs which constitute an important part of data parallel languages provide excellent opportunities for compiler optimizations. In this paper, we present a new approach to combine consecutive data access patterns of array constructs i...

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Demand information is an input for a great deal of operations research models. Assumed as given in many problem instances addressed in the literature, demand data are di cult to generate. In this tutorial, we provide an introduction to disaggregate demand models that are designed to capture in detail the underlying behavioral mechanisms at the foundation of the demand.

In this paper, some applications of our earlier results in working with chemical graphs are presented.