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This paper is concerned with a real-time observer-based fault detection (FD) approach for a general type of nonlinear systems in the presence of external disturbances. To this end, in the first part of this paper, we deal with the definition and the design condition for an L ∞ / L 2 type of nonlinear observer-based FD systems. This analytical framework is(More)
Currently keyword query is a hot research topic in dataspaces. Due to its unstructured feature it's difficult to understand the user's query intent and to explain the query properly. So we propose semantic keyword query mechanism based on entity association graph. First we propose a layered graph model to capture the associations between entities and entity(More)
In web search user usually has geo and temporal intent or preference aim at different query. In order to improve search quality we propose a novel approach to capture implicit geo and temporal intent in the form of query profile by mining search results leveraging Knowledge Base. Our approach classifies query into five classes based on decision tree(More)