Centric Allometry: Studying Growth Using Landmark Data

Qualitative Navigation by Sensor Centric Landmark Tracking

Sensor based navigation is a fundamental competence for any mobile robot. The essential problem with conventional statistical approaches to the navigation problem is the requirement for maintaining an exact global description of environment geometry. In practise the behaviour of real physical sensors and the observations they make of the environment make such central geometric representation of...

Access control in ultra-large-scale systems using a data-centric middleware

  The primary characteristic of an Ultra-Large-Scale (ULS) system is ultra-large size on any related dimension. A ULS system is generally considered as a system-of-systems with heterogeneous nodes and autonomous domains. As the size of a system-of-systems grows, and interoperability demand between sub-systems is increased, achieving more scalable and dynamic access control system becomes an im...

Mining Frequent Patterns in Uncertain and Relational Data Streams using the Landmark Windows

Todays, in many modern applications, we search for frequent and repeating patterns in the analyzed data sets. In this search, we look for patterns that frequently appear in data set and mark them as frequent patterns to enable users to make decisions based on these discoveries. Most algorithms presented in the context of data stream mining and frequent pattern detection, work either on uncertai...

Comparative Methods for Studying Primate Adaptation and Allometry

Capturing Data Using XML Paragraph-centric Documents

Nowadays, graphical forms are used to capture input data and feed traditional databases. They are associated with rigid schema and constraints to ensure data validity and to control entry sequencce. Over the Internet, electronic documents are becoming widely exchanged and their data reused in a large range of tasks. As a direct consequence, a capture interface that relies on documents can serve...