This paper introduces predictive framework for asset management risk assessment that utilizes big data. It describes the data analytics required for integrating the big data in time and space. The proposed assets management framework is novel since it implements a dynamic proactive maintenance scheduling. The dynamic maintenance scheduling overpowers the conventional periodic scheduling, by tak...

Induction motors are the most commonly used in the traction industries and electric vehicles, due to their low primary cost, low maintenance costs, and good performance. Speed identification is needed for the induction motor drives. However, using of speed sensors in the induction motor drives is associated with problems such as, extra cost, reduced reliability, added mounting space, etc.. Ther...

Materialized views defined over distributed data sources are a well recognized technology in data integration, e-business and semantic web. Due to the constantly increasing size of the information sources and the rapid rates of change, there comes an increasing pressure to reduce the time taken for refreshing such integration views. State-of-the-art incremental view maintenance literature requi...

Program affordability needs to be built-in at the initial concept formulation stage. For NASA’s space exploration vision this is critical for long range sustainability of human presence in space. What is often overlooked in the initial concept formulation of a large scale system endeavor such as NASA’s Constellation program is the hidden cost of maintaining requisite operational safety margins ...

Similarity searching is particularly important in fully distributed networks such as P2P systems in which various routing schemes are used to submit queries to a group of relevant nodes. This paper focuses on the maintenance cost models and performances of similarity search in the HON P2P system, where data and peers are organized in a high dimensional feature space. We show through extensive s...