The Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering

Large computer systems consist of many components, which create few (software and hardware) layers. Analyzing accessibility of the given system function we should consider accessibility of connected functions of many components. We pay attention to singular functions, because during system failure we often lose access not to whole component, but only to some of its functions. So, analyzing an enterprise risk of a system failure, we consider not only the accessibility of the components (objects) but also of their functions (methods). UML help us to model a system, but the information necessary for a risk evaluation are located in different types of UML diagram (i.e. deployment and class diagrams). Thus we have decided to maintain own graph structure generated (from UML diagrams) and evaluated under aedNLC graph grammar. We show how a formal graph structures enables us to manage the risk associated with any level of the software hierarchy.

In the article we discuss the properties of a designer-friendly solution finder based on accurate photometric computations. Such software automates reconfigurations and recalculations of a scene implied by changes introduced to a project by designer, keeping a balance between visualization features and availability of quantitative photometric data. The goal of the redesign in achieving power usage reduction. In the article we also deal with the practical approach to the problem presented by the Eandis, the Belgian distribution system operator.

The efficiency and affordability of modern street lighting equipment are improving quickly, but systems used to manage and design lighting installations seem to lag behind. One of their problems is the lack of consistent methods to integrate all relevant data. Tools used to manage lighting infrastructure are not aware of the geographic characteristics of the lit areas, and photometric calculation software requires a lot of manual editing by the designer, who needs to assess the characteristics of roads, define the segments, and assign the lighting classes according to standards. In this paper, we propose a graph-based method to integrate geospatial data from various sources to support the process of data preparation for photometric calculations. The method uses graph transformations to define segments and assign lighting classes. A prototype system was developed to conduct experiments using real-world data. The proposed approach is compared to results obtained by professional design...