Computing nice projections of objects in 2D and 3D is a well studied problem in computational geometry. By nice projections we mean optimal projections having some special geometric property. Aside from theoretical interest, ...

Numerous applications of resource partitioning have been found in electrical power distribution systems, telecommunication networks, computer networks, fault tolerant systems, grid computing etc. The resource partitioning ...

Statistical testing gIves us opportunity to have statistical inferences such as reliability, mean time to failure (MTTF) etc. for software systems and Markov chain usage model gams it's credibility in this field. Markov ...

In this research work, we have introduced a new graph problem namely "minimum facespanning subgraph problem". Let G be an edge weighted connected plane graph, let V (G) and E( G) be the set of vertices and edges, ...

Let G be a planar graph such that each vertex in G is colored by either red or blue color. Assume that there are nr red vertices and nb blue vertices in G. Let 8 be a set of fixed points in the plane such that 181 = nr ...

During the last two decades tremendous success has been achieved in the PC based computing. Most of the PCs are now as powerful as the mid-range/mini computers of early sixties and seventies. Improvement in the cost ...

Multicast Video-on-Demand (VoD) systems are scalable and cheap-to-operate. In such systems, a single stream is shared by a batch of common user requests. In this research, we adapt multicast communication technique in ...

This thesis presents a novel hybrid dynamic spectrum access technique for multi-channel single-radio cognitive radio networks. Existing classical and stochastic approaches exhibit di erent advantages and disadvantages ...

Artificial neural networks (ANNs) are complex and useful problem solvers. Architecture determination of ANN is an important issue for the successful application of ANNs in many practical problems. It is well known that ...

The basic principles of evolution have been applied to the solution of technical problems in a wide range of domains. To successfully apply evolutionary algorithms to these increasingly complex problems, we must develop ...