Download Der A*-Algorithmus [Lecture notes] by Sven O. Krumke PDF

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3 Construction of the STAR-Tree A STAR-Tree is constructed by systematically merging multiple by taking into account their resolutions as well as the spatiotemporal regions covered by the MBHRs. Essentially, we exploit some of the following properties of the geospatial data and the corresponding 40 DATA AND APPLICATIONS SECURITY XVIII authorization specifications in constructing the STAR-Tree, thereby providing efficient search and evaluation of access requests. (1) Geospatial images of the same resolution have the same extent of geographical coverage, and therefore, lower resolution images cover larger geospatial region than their higher resolution counterparts.

As such, serving an access request requires searching for authorizations from the authorization base, as well as searching for relevant images. Since both objects and authorizations are associated with spatial and temporal attributes, in order to process access requests efficiently, it is essential that both the geospatial object database as well as the authorization base be accessed using some sort of index structures. However, processing an access request under this approach requires searching two indexes – one the object index and the other the authorization index.

2. A FRAMEWORK FOR ORGANISATIONAL CONTROL PRINCIPLES The structure of the conceptual model [2] that we use as the basis for the specification, analysis and exploration of control principles is displayed in figure 1. Each box represents an object type which is called signature in Alloy and the open headed arrows represent type extension. Objects can be members of Groups . A group is itself an object and may thus also be a member of some other group. A Principal is an object representing a human user or automated component in the system.

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