In this paper, the authors present a framework to support multidimensional analysis of real-time physiological data streams and clinical data. The clinical context for the case study demonstration is neonatal intensive care, focusing specifically on the detection of episodes of central apnoea, a clinically significant problem. The model accounts for the multidimensional and real-time nature of ...

We study the problem of statistical multiplexing of cell streams which have correlations at multiple timescales. Each stream is modeled by a singularly perturbed Markov-modulated process with some state transitions occurring much more infrequently than others. One motivation of this model comes from variable-rate compressed video, where the fast timescale dynamics may correspond to correlations...

With the era of big data coming, the data streams are fast, continuous, and unbounded. The real-time requirements of the data streams processing results are very high. A large number of researches have been on Frequent Co-occurrence Patterns across multiple data streams. But those algorithms are centralized, which is worked on a single compute node. The memory of a single compute node and CPU c...

With the prevalence of Web applications, expediting multiple queries over streaming XML has become a core challenge due to one-pass processing and limited resources. Recently proposed Hole-Filler model is low consuming for XML fragments transmission and evaluation, however existing work addressed the multiple query problem over XML tuple streams instead of XML fragment streams. By taking advant...

Most of today's optical networks are built on E:ONET rings [I]. Using WDM technology, multiple rings can be sup ported on a single fiber ring [3]. In this architecture, each wavelength independently carries a SONET ring. Each SONET ring can further support multiple low speed streams (e.g. an OC48 SONET ring can support 4 OC-12 or 16 OC-3 streams at the same time). At each node a WDM Add/Drop Mu...

We describe the development of a system that automates data collection, metadata extraction and analysis of spatio-temporal multi-modal data, combining data management and data analysis to provide an efficient resource for clinicians. Though the system is extensible to many applications, the current focus is on managing Multiple Sclerosis (MS) lesion data, which are disparate streams of image, ...

Multi-point devices are rapidly becoming a practical interface choice for electronic musicians. Interfaces that generate multiple simultaneous streams of point data present a unique mapping challenge. This paper describes an analysis system for point relationships that acts as a bridge between raw streams of multi-point data and the instruments they control, using a multipoint trackpad to test ...

We present a high-performance, pull-based streaming processor for XQuery, called XQPull, that can handle many essential features of the language, including general predicates, recursive queries, backward axis steps, and function calls, using a very small amount of caching. Our framework is based on a new type of event streams, called retarded streams, which allow multiple and nested streams to ...

Information fusion in the context of combining multiple streams of data e.g., audio streams and video streams corresponding to the same perceptual process is considered in a somewhat generalized setting. Speci cally, we consider the problem of combining visual cues with audio signals for the purpose of improved automatic machine recognition of descriptors e.g., speech recognition/transcription,...

We proposed a new algorithm SuffixMiner which eliminates the requirement of multiple passes through the data when finding out all frequent itemsets in data streams, takes full advantage of the special property of suffixtree to avoid generating candidate itemsets and traversing each suffix-tree during the itemset growth, and utilizes a new itemset growth method to mine all frequent itemsets in d...