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NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD scales to hundreds of processors on high-end parallel platforms, as well as tens of processors on low-cost commodity clusters, and also runs on individual desktop and laptop computers. NAMD works with AMBER and CHARMM potential functions,(More)
—Voice over Internet Protocol (VoIP) over a wireless local area network (WLAN) is poised to become an important In-ternet application. However, two major technical problems that stand in the way are: 1) low VoIP capacity in WLAN and 2) unacceptable VoIP performance in the presence of coexisting traffic from other applications. With each VoIP stream(More)
<i>Map-matching</i> is the process of aligning a sequence of observed user positions with the road network on a digital map. It is a fundamental pre-processing step for many applications, such as moving object management, traffic flow analysis, and driving directions. In practice there exists huge amount of low-sampling-rate (e.g., one point every 2--5(More)
In this article we develop a novel graph-based approach toward network forensics analysis. Central to our approach is the evidence graph model that facilitates evidence presentation and automated reasoning. Based on the evidence graph, we propose a hierarchical reasoning framework that consists of two levels. Local reasoning aims to infer the functional(More)
We propose a sample average approximation (SAA) method for stochastic programming problems involving an expected value constraint. Such problems arise, for example , in portfolio selection with constraints on conditional value-at-risk (CVaR). Our contributions include an analysis of the convergence rate and a statistical validation scheme for the proposed(More)
Human saccade is a dynamic process of information pursuit. Based on the principle of information maximization, we propose a computational model to simulate human sac-cadic scanpaths on natural images. The model integrates three related factors as driven forces to guide eye movements sequentially — reference sensory responses, fovea-periphery resolution(More)
—Increased speeds of PCs and networks have made media communications possible on the Internet. Today, the need for desktop videoconferencing is experiencing robust growth in both business and consumer markets. However, the synchronous delivery of high-volume media content is still a big challenge under a current heterogeneous Internet environment. In this(More)
Neural Machine Translation (NMT) is an end-to-end learning approach for automated translation, with the potential to overcome many of the weaknesses of conventional phrase-based translation systems. Unfortunately, NMT systems are known to be computationally expensive both in training and in translation inference – sometimes prohibitively so in the case of(More)