We use Twitter's real-time lists of popular Internet topics as a basis for predicting which Internet content will become popular in the near future. Our methods can be applied to optimize content delivery networks of the Internet via intelligent content pre-fetching and caching.
We describe a learning-based system that creates draft reports based on observation of people preparing such reports in a target domain (conference replanning). The reports (or briefings) are based on a mix of text and event data. The latter consist of task creation and completion actions, collected from a wide variety of sources within the target… (More)
We describe a novel method for over-the-air automated authentication and verification of machine-to-machine (M2M) wireless sensor networks using the existing authentication assets of a cellular telecom operator. We extend the standard Generic Bootstrapping Architecture (GBA) provided in the 3GPP specifications to implement our solution with minimal… (More)
— We provide a generic achievability argument for incentives in gossip based p2p streaming by proving that after coupling a randomized optimistic unchoke mechanism to an incentive based gossip streaming algorithm we can (still) distribute a stream from one source to n peers in O(log n) time with high probability. We provide simulation results for a… (More)
This paper elucidates a practical solution to an Indian accented English text to speech synthesizing system. The paper covers the complete procedure to generate the speech signal of the text, in Indian accented voice. The technique described considers the various prosodic features that need to be incorporated into the synthesized speech to make it appear… (More)
Automated identification of tasks in email messages can be very useful to busy email users. What constitutes a task varies across individuals and must be learned for each user. However, training data for this purpose tends to be scarce. This paper addresses the lack of training data using domain-specific semantic features in document representation for… (More)
— Newer mobile devices are equipped with multiple network interfaces that can be used to preemptively download multimedia content in an efficient and cost effective manner. We propose a content selection algorithm for such push-based multimedia content caching scenarios. Our approach improves cache hit rates by exploiting correlations between users who… (More)