Now showing items 1-6 of 6
SCALABLE, DETERMINISTIC AND UPDATABLE FLOW PROCESSING FRAMEWORK TO ACCELERATE SOFTWARE DEFINED NETWORKING
To accomplish high-performance and granular traffic control across a great number of network devices, flow processing in an OpenFlow switch is of great importance for any Software Defined Networking (SDN) architecture. The ...
STRUCTURAL PATTERN DISCOVERY IN DYNAMIC GRAPHS
Structural pattern discovery problems, which contain graph isomorphism as a sub-problem, are computationally very hard. The runtime of complete algorithms for discovering structural patterns such as frequent subgraphs and ...
AUTOMATED FUNCTIONAL ASSESSMENT OF SMART HOME RESIDENTS
This dissertation proposes smart home-based intelligent techniques that perform automated assessment of a resident's well-being by monitoring their behavior inside the home. We hypothesize that the everyday behavior of ...
SCALABLE PARALLEL METHODS FOR ANALYZING METAGENOMICS DATA AT EXTREME SCALE
The field of bioinformatics and computational biology is currently experiencing a data revolution. The exciting prospect of making fundamental biological discoveries is fueling the rapid development and deployment of ...
Link Prediction in Dynamic Networks
Link Prediction in dynamic networks aims to model the patterns of relationship formation between any two agents in a multi-agent network for predicting the future links. We present three contributions to the state-of-the-art ...
The Influence of Culture on Older Adults' Adoption of Smart Home Monitoring: A Qualitative Descriptive Study
This qualitative descriptive interdisciplinary study, performed in the space between nursing and engineering and within the field of gerontechnology, explored the influence of culture on older adults’ adoption of smart ...