Abstract. In this paper, an indoor localization system using light emitting diodes (LEDs) is presented. Location of an object is determined by scanning two LEDs at pre-defined angles which are modulated at different frequencies. During scanning process, for each LED, two maximum values of received signal strength (RSS) are logged and this information is used to compute the position of an object. Time division multiplexing (TDM) is used to incorporate angle information at the receiver. A bicubic spline interpolation is applied to estimate the position of an object. Simulations are executed for a typical indoor environment with dimensions of (3 × 3 × 2 m 3 ) and results are validated using experiments. The experimental results confirm that proposed beam scanning approach can be used to determine the location of an object precisely.
Semantic web is a web of future. The Resource Description Framework (RDF) is a languageto represent resources in the World Wide Web. When these resources are queried the problem of duplicatequery results occurs. The present techniques used hash index comparison to remove duplicate queryresults. The major drawback of using the hash index to remove duplicate query results is that, if there is aslight change in formatting or word order, then hash index is changed and query results are no moreconsidered as duplicate even though they have same contents. We presented an algorithm for detection andelimination of duplicate query results from semantic web using hash index and page size comparisons.Experimental results showed that the proposed technique removed duplicate query results from semanticweb efficiently, solved the problems of using hash index for duplicate handling and could be embedded inexisting SQL-Based query system for semantic web. Research could be carried out for certain flexibilitiesin existing SQL-Based query system of semantic web to accommodate other duplicate detection techniquesas well
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