Media-streaming applications experience limited performance and perceptible quality degradation in the presence of random wireless errors, as the underlying congestion control typically interprets packet loss as the outcome of congestion. In this context, we propose a selective rate control, namely AIAMD, which manages to differentiate congestive and non-congestive loss by utilizing history in its control rules. AIAMD combines the most

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and offers several other advantages, complications still occur and there is a need for a more efficient stent-graft. Here, the early steps performed in the development of a novel stent-graft are described, and desired features for an ‘ideal ’ device are pointed out. The implementation

ADL are particularly well suited for component-based model frameworks that support hierarchical composition, such as DEVS with coupled models. In this paper we present some features found in the ADL of another hierarchical component model, namely the Fractal Component Model (FCM). To our best

algorithm by combining desirable features. In addition, we propose a general use of Rao-Blackwellization to improve performances. Examples from econometrics and engineering are presented to demonstrate the importance of Rao-Blackwellization and to compare different Monte Carlo procedures. Keywords: Blind

have often relied on vectors derived from retro-viruses such as murine leukemia virus (MLV) (1, 2). These vectors are useful because the genes they transduce are inte-grated into the genome of the target cells, a desirable feature for long-term expression. However, these retroviral vectors can only

In this paper, we develop methods to rapidly remove rough features from irregularly triangulated data intended to portray a smooth surface. The main task is to remove undesirable noise and uneven edges while retaining desirable geometric features. The problem arises mainly when creating high

on the review of literature and a detailed study of the chosen news aggregator services. A number of desirable features of news aggregators were identified. Concluded that an ideal model could be designed by combining the usability features of TvEyes and the retrieval performance of GoogleNews.

This paper describes a computational approach to edge detection. The success of the approach depends on the definition of a comprehensive set of goals for the computation of edge points. These goals must be precise enough to delimit the desired behavior of the detector while making minimal

nothing directly to do with coding or decoding will show that in some sense belief propagation "converges with high probability to a near-optimum value" of the desired belief on a class of loopy DAGs Progress in the analysis of loopy belief propagation has been made for the case of networks