There are generally two types of multiview video:(1) 3D Multiview Video (“3D MVV” also called “2D plus delta” or “stereo” multi-view video): 3D MVV is widely deployed in cinemas and in the TV industry. 3D MVV typically entails capturing video of an object using two cameras with differing view angles...
The processor allocation in an n-dimensional hypercube multiprocessor using buddy strategy, gray code strategy, and a new strategy is implemented on Macintosh. Our implementations show that when processor relinquishment is not considered (i.e. static allocation), all these strategies are optimal in the sense that each incoming request sequence is always...
Relational database systems have successfully solved many
business data processing problems. The primary reason of this
success is that the relational data model provides a simple, yet
flexible view of data as tables. In studying VLSI/CAD data, we noticed
that they are often represented in formats similar to relational
tuples....
The widespread use of wireless devices that we have recently been witnessing, such as smartphones, tablets, laptops, and wirelessly accessible devices in general, is causing an unprecedented growth in the required amount of the wireless radio spectrum. On the other hand, the spectrum resource has, for the last several decades,...
Autonomous vehicles bring great societal benefits but also potential impact and disruption to road safety, traffic congestion, and driving behaviors. One important technology that is indispensable to the success of such systems is vehicular networks. Vehicular networks provide the backbone for ensuring communication and connectivity among vehicles, all crucial to...
Parallel solutions for two classes of linear programs are
presented. First we parallelized the two-phase revised simplex
algorithm and showed that it is possible to get linear improvement in
performance. The simplex algorithm is the best known algorithm for
solving linear programs, and we claim our result is the best...
Markov Decision Process (MDP) is a well-known framework for devising the optimal decision making strategies under uncertainty. Typically, the decision maker assumes a stationary environment which is characterized by a time-invariant transition probability matrix. However, in many real-world scenarios, this assumption is not justified, thus the optimal strategy might not...
Data structures are essential for any programming task. Most of modem programming languages have a library of reusable data structures. In this project, Smalltalk-like collection classes have been implemented as a Java package. This package, collections, contains several useful data structures such as binary tree, B-Tree, bag, list, hash table...
As the number of nodes in high-performance computing (HPC) systems continues to grow, it becomes increasingly important to design scalable interconnection network topologies. Prior work has shown promise in adding random shortcuts on top of an existing topology to reduce average hop count and network diameter, but has been limited...