The Time-Slicing paradigm is a newly developed method for the training of neural networks for speech recognition. The neural net is trained to spot the syllables in a continuous stream of speech. It generates a transcription of the utterance, be it a word, a phrase, etc. Combined with a simple error recovery method the desired units (words or phrases) can be retrieved. This paradigm uses a recu...

Congestion avoidance is an important traffic engineering task, which can be performed by making use of loadbalancing technique when a link is over loaded or failure of link occur in Multi-Path Switching Systems . Multipath Switching Systems are capable of transferring high rate data in networks. As preserving the inter flow packet orders while avoiding congestion is a major issue in considerati...

Experiments performed on a network provide an exact performance of network algorithms and protocols. While initial research ideas can be evaluated through analysis, simulations, and emulations, implementation and deployment of these ideas on a realistic environment helps in systematically identifying and addressing many practical problems that systems typically encounter. There is no substitute...