A new link scheduling approach for millimeter wave wireless mesh network is presented. The proposed link scheduling solution is designed to work together with a multiple overlapping spanning trees-based routing schemes on a mesh network topology. The link schedule computation will minimize the end-to-end delay along a subset of shortest-hop paths from non-gateway nodes to a gateway node of the mesh, where each path is obtained from one of the spanning trees. The link schedule itself consists of cyclic repetition of a vector of transmission sets, where a transmission set is a maximal collection of links that can be active simultaneously. Simultaneous activity of the links is limited by radio interference and by shared resources. Algorithms for the computation of the link schedule are provided and computational issues of the algorithms are discussed.

This paper focuses on the sizing methodology for the link between the base station transceiver (BTS) and the central base station controller (CBSC). Packet-switched technology has promised greater flexibility and increased utilization of resources for the cellular operators. This brought new challenges in terms of traffic engineering that could not be addressed by Erlang-B formula alone. We present analysis techniques for IP backhaul sizing in CDMA 1X radio access network (RAN). We first present the 2G/2.5G circuit backhaul efficiency analysis for voice traffic. Using the central limit theorem we analyze 3G packet-switched backhaul efficiency with mixed voice, data, and signaling traffic for a single T1 link. Applying the knowledge gained from the single backhaul link efficiency analysis, we present practical steps to calculate the number of backhaul links required to meet QoS demands given a operator-specified call model.

Interaction with medical volume data has often been difficult, due to the large memory and computational power required. By taking advantage of current high-end graphics hardware, we have developed a volumetric virtual environment that provides the ability to help people interact with the volumetric Visible Human data set. The application enables the user to explore the interior of a virtual human body in a natural and intuitive way.

Describes algebraic methods for creating implicit surfaces using linear combinations of radial basis interpolants to form complex models from scattered surface points. Shapes with arbitrary topology are easily represented without the usual interpolation or aliasing errors arising from discrete sampling. These methods were first applied to implicit surfaces by V.V. Savchenko, et al. (1995) and later developed independently by G. Turk and J.F. O'Brien (1998) as a means of performing shape interpolation. Earlier approaches were limited as a modeling mechanism because of the order of the computational complexity involved. We explore and extend these implicit interpolating methods to make them suitable for systems of large numbers of scattered surface points by using compactly supported radial basis interpolants. The use of compactly supported elements generates a sparse solution space, reducing the computational complexity and making the technique practical for large models. The local nature of compactly supported radial basis functions permits the use of computational techniques and data structures such as k-d trees for spatial subdivision, promoting fast solvers and methods to divide and conquer many of the subproblems associated with these methods. Moreover, the representation of complex models permits the exploration of diverse surface geometry. This reduction in computational complexity enables the application of these methods to the study of the shape properties of large, complex shapes.

Accurate registration between real and virtual objects is crucial for augmented reality applications.Existing tracking methods are individually inadequate: magnetic trackers are inaccurate, mechanical trackers are cumbersome, and vision-based trackers are computationally problematic.We present a hybrid tracking method that combines the accuracy of vision-based tracking with the robustness of magnetic tracking without compromising real-time performance or usability.We demonstrate excellent registration in three sample applications.

Image metamorphoses (morphing) is a powerful and easy-to-use tool for generating new 2D images from existing 2D images. In recent years morphing has become popular as an artistic tool and is used extensively in the entertainment industry. In this paper we describe a new technique for controlled, feature-based metamorphosis of certain types of surfaces in 3-space; it applies well-understood 2D methods to produce shape metamorphosis between 3D models in a 2D parametric space. We also describe an interactive implementation on a parallel graphics multicomputer, which allows the user to define, modify and examine the 3D morphing process in real time.

This paper describes VOL2, an interactive general-purpose volume renderer based on ray casting and implemented on Pixel-Planes 5, a distributed-memory, message-passing multicomputer. VOL2 is a pipelined renderer using image-space task parallelism and object-space data partitioning. We describe the parallelization and load balancing techniques used in order to achieve interactive response and near-real-time frame rates. We also present a number of applications for our system and derive some general conclusions about operation of image-order rendering algorithms on message-passing multicomputers.

Augmented reality systems with see-through headmounted displays have been used primarily for applications that are possible with today's computational capabilities. We explore possibilities for a particular application-in-place, real-time 3D ultrasound visualization-without concern for such limitations. The question is not "How well could we currently visualize the fetus in real time," but "How well could we see the fetus if we had sufficient compute power?" Our video sequence shows a 3D fetus within a pregnant woman's abdomen-the way this would look to a HMD user. Technical problems in making the sequence are discussed. This experience exposed limitations of current augmented reality systems; it may help define the capabilities of future systems needed for applications as demanding as real-time medical visualization.>

article Pump it up: computer animation of a biomechanically based model of muscle using the finite element method Share on Authors: David T. Chen Computer Graphics and Animation Group, The Media Laboratory, Massachusetts Institute of Technology, Cambridge, MA Computer Graphics and Animation Group, The Media Laboratory, Massachusetts Institute of Technology, Cambridge, MAView Profile , David Zeltzer Computer Graphics and Animation Group, The Media Laboratory, Massachusetts Institute of Technology, Cambridge, MA Computer Graphics and Animation Group, The Media Laboratory, Massachusetts Institute of Technology, Cambridge, MAView Profile Authors Info & Claims ACM SIGGRAPH Computer GraphicsVolume 26Issue 2July 1992 pp 89–98https://doi.org/10.1145/142920.134016Published:01 July 1992 176citation3,599DownloadsMetricsTotal Citations176Total Downloads3,599Last 12 Months42Last 6 weeks5 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access