Industrial methods for quality analysis massively rely on structured data describing product features and product usage. The analysis of such data is normally done using complex reporting or sophisticated data mining methods. Besides this structured data, companies very often also posses large amounts of unstructured text like call center reports, internet fora or repair order documents. Despit...

The Web contains a huge amount of text that is currently beyond the reach of structured access tools. This unstructured data often contains a substantial amount of implicit structure, much of which can be captured using information extraction (IE) algorithms. By combining an IE system with an appropriate data model and query language, we could enable structured access to all of the Web’s unstru...

We investigate notions of network centrality in terms the underlying coupling graph network, structure exogenous uncertainties, and communication time-delay. Our focus is on time-delay linear consensus networks, where uncertainty modeled by structured additive noise dynamics agents. The measures are defined using H2-norm network. quantify as functions time-delay, Laplacian, covariance matrix in...

This paper presents an algorithm for the design of robust output feedback controllers for linear uncertain discrete-time systems. The algorithm utilizes a version of the BFGS method of conjugate directions and minimizes a performance index that includes an LQR term to optimize performance and a robustness term which is based on recently developed bounds. The minimization of only the robustness ...

Peer-to-Peer overlay systems offer a substrate for the construction of large scale and distributed applications. The Peer-to-Peer technique is differentiated in to two major forms, Structured P2P and Unstructured P2P. In structured peer-to-peer networks, connections in the overlay are fixed. They typically use distributed hash table-based (DHT) indexing, such as in the Chord system. Unstructure...