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Multicast (multipoint) distribution of video is an important component of many existing and future networked services. Today's Internet lacks support for quality of service (QoS) assurance which makes the transmission of real-time traac (such as video) challenging. In addition, the heterogeneity of the Internet's transmission resources and end-systems makes(More)
Mass spectrometers that provide high mass accuracy such as FT-ICR instruments are increasingly used in proteomic studies. Although the importance of accurately determined molecular masses for the identification of biomolecules is generally accepted, its role in the analysis of shotgun proteomic data has not been thoroughly studied. To gain insight into this(More)
Collaborative filtering is regarded as one of the most promising recommendation algorithms. The item-based approaches for collaborative filtering identify the similarity between two items by comparing users' ratings on them. In these approaches, ratings produced at different times are weighted equally. That is to say, changes in user purchase interest are(More)
Optimizing the performance of a multi-core microprocessor within a power budget has recently received a lot of attention. However, most existing solutions are centralized and cannot scale well with the rapidly increasing level of core integration. While a few recent studies propose power control algorithms for many-core architectures, those solutions assume(More)
We address the problem of fairness in a feedback-controlled multicast video distribution scheme. In a fair scheme each receiver should receive a video stream with a quality that is commensurate with its capabilities or the capabilities of the path leading to it, regardless of other receivers or network paths. This fairness problem results from the fact that(More)
Radio-frequency identification technology provides promising benefits such as inventory visibility and business process automation. However, if companies are to realize these benefits, researchers must address major challenges such as data processing, integration architecture design, security, and privacy. T he ability to uniquely identify individual(More)
The performance optimization of query processing in spatial networks focuses on minimizing network data accesses and the cost of network distance calculations. This paper proposes algorithms for network k-NN queries, range queries, closest-pair queries and multi-source skyline queries based on a novel processing framework, namely, incremental lower bound(More)
Online human gesture recognition has a wide range of applications in computer vision, especially in human-computer interaction applications. Recent introduction of cost-effective depth cameras brings on a new trend of research on body-movement gesture recognition. However, there are two major challenges: i) how to continuously recognize gestures from(More)