As location information of numerous Internet Thing (IoT) devices can be recognized through IoT sensor technology, the need for technology to efficiently analyze spatial data is increasing. One famous algorithms classifying dense into one cluster Density-Based Spatial Clustering Applications with Noise (DBSCAN). Existing DBSCAN research focuses on finding clusters in numeric or categorical data....

With the broad adoption of mobile devices, notably smartphones, keyword-based search for content has seen increasing use by users, who are often interested in related to their geographical location. We have also witnessed a proliferation geo-textual that encompasses both textual and information. Examples include geo-tagged microblog posts, yellow pages, web pages entities with physical location...

Cloud users (clients) with limited storage capacity at their end can outsource bulk data to the cloud storage server. A client can later access her data by downloading the required data files. However, a large fraction of the data files the client outsources to the server is often archival in nature that the client uses for backup purposes and accesses less frequently. An untrusted server can t...

This paper demonstrates a keyword match processor capable of performing fast dictionary search with approximate match capability. Using a content addressable memory with processor element cells, the processor can process arbitrary sized keywords and match input text streams in a single clock cycle. We present an architecture that allows priority detection of multiple keyword matches on single i...

Today’s connected society is characterized by the way people share information and by how such information affects the community as a whole. This is particular relevant when such information reflects the opinion of individuals about other individuals, companies, products, specific product features, etc. Arguably, Twitter is one of the most popular platforms for publishing opinions and other inf...

Automatic speech recognition (ASR) technology is available now-a-days in all handsets where keyword spotting plays a vital role. Keyword spotting performance significantly degrades when applied to real-world environment due to background noise. As visual features are not affected much by noise this provides better solution. In this paper, audio-visual integration is proposed which combines audi...

Enabling non-experts to publish structured or semantic data on the web is an important achievement of the social web and one of the primary goals of the social semantic web. Making this data easily accessible in turn has received only little attention. Querying in semantic wikis typically uses full text search for the textual content and a web query language for the annotations. This has two sh...

Low-resource speech recognition and keyword search (KWS) are important topics for speech technologies. However, their performance often suffers from out-ofvocabulary (OOV) keywords. Subword units like syllables are useful in handling this issue. This report introduces a weighted finite state transducer (WFST) based syllable transduction framework for OOV handling in KWS. Syllable lattices are g...