Complex event processing (CEP) has proven to be a highly relevant topic in practice. As it is sensitive to both errors in the stream and uncertainty in the pattern, approximate complex event processing (ACEP) is an important direction but has not been adequately studied before. ACEP is costly, and is often performed under insufficient computing resources. We propose an algorithm that learns fro...

The Real-time Analytics Data Stack, colloquially referred to as the RADStack, is an open-source data analytics stack designed to provide fast, flexible queries over up-to-the-second data. It is designed to overcome the limitations of either a purely batch processing system (it takes too long to surface new events) or a purely real-time system (it’s difficult to ensure that no data is left behin...

In this paper, we propose a mechanism that supports the high quality streaming and adaptation of stored, constant-quality video across best-effort networks. The difficulty in the delivery of such traffic over best-effort networks is the fact that both the bandwidth required from the stream and the bandwidth available across the network vary considerably over time. Our proposed approach has a nu...

Purpose The purpose of the current study was to evaluate social and cognitive underpinnings miscommunication during an interactive listening task. Method An eye computer mouse–tracking visual-world paradigm used investigate how a listener's effort (local global) decision-making processes were affected by speaker's use ambiguity that led miscommunication. Results Experiments 1 2 found environmen...

In this paper, it is our aim to observe the impact that translator training and experience have on different groups of participants (novice, trained experienced) when evaluating a translation. We will be doing so by measuring cognitive effort invested in processing lexical features applying an eye-tracking methodology. Participants presented with several translated versions from English into Sp...