Venkat R. Ganesh

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The availability of a wide variety of geospatial datasets demands new mechanisms to perform their integrated analysis and visualization. In this demo paper, we describe our semantic framework, <i>GIVA</i>, for <i>Geospatial and temporal data Integration, Visualization, and Analytics</i>. Given a geographic region and a time interval, GIVA addresses the(More)
There are millions of web tables with geographic data that are pertinent for big data integration in a variety of domain applications, such as urban sustainability, transportation networks, policy studies, and public health. These tables, however, are heterogeneous in structure, concepts, and metadata. One of the challenges in semantically extracting(More)
Heterogeneous wireless sensing element network (heterogeneous WSN) consists of sensing element nodes with totally different ability, like totally different computing power and sensing vary. Compared with homogenised WSN, readying and topology management square measure additional advanced in heterogeneous WSN. the present work bestowed redundancy management(More)
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