An Optimized Clogging Manage and Fault Executive System

In this paper, a new OCMFES congestion control mechanism is introduced in multi-homing mode. Congestion in each route can be avoided or can be controlled, based on an Active Queue Management (AQM) method. Also, routers compute probability of congestion for the sources on the paths and then notify them. Therefore, the sources can adjust their sending rates on each path effectively and if necessary, can switch to an alternate path to prevent congestion. Simulations have been conducted with Opnet linked with NS2. The simulation shows that the new method can decrease packet loss, increase the amount of transmissions and stabilize queue length, as compared with standard OCMFES. Keywords:  OCMFES; AQM; congestion control; sendin

Mining Event - Based Commonsense Knowledge from Web using NLP Techniques

The real life intelligent applications such as agents, expert systems, dialog understanding systems, weather forecasting systems, robotics etc. mainly focus on commonsense knowledge And basically these works on the knowledgebase which contains large amount of commonsense knowledge. The main intention of this work is to create a commonsense knowledge base by using an effective methodology to retrieve commonsense knowledge from large amount of web data. In order to achieve the best results, it makes use of different natural language processing techniques such as semantic role labeling, lexical and syntactic analysi. Keywords: Automatic statistical semantic role tagger (ASSERT), lexico - syntactic pattern matching, semantic role labeling (SRL

MEBCK from Web using NLP Techniques

The real life intelligent applications such as agents, expert systems, dialog understanding systems, weather forecasting systems, robotics etc. mainly focus on commonsense knowledge And basically these works on the knowledgebase which contains large amount of commonsense knowledge. The main intention of this work is to create a commonsense knowledge base by using an effective methodology to retrieve commonsense knowledge from large amount of web data. In order to achieve the best results, it makes use of different natural language processing techniques such as semantic role labeling, lexical and syntactic analysis. Keywords: Automatic statistical semantic role tagger (ASSERT), lexico - syntactic pattern matching, semantic role labeling (SRL