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Communication networks are vulnerable to emergencies both natural and manmade. Deployment of cost-effective, efficient and robust communications network for emergency situations is considered to be a vital problem. In this paper we propose the use of cognitive agents for post-disaster communications (CAP-C). Birth-death lifecycle of these mobile agents is(More)
Disasters in last decade have rapidly increased the research activities related to emergency communications. This paper presents a model for cognitive identification of post-disaster situation. A two-state model for mobile handsets along with a software based identification module is introduced for the said purpose. This paper also discusses implementation(More)
—Communication facilities can totally be destroyed by natural and / or manmade disasters. A critical problem after disaster is getting the first hand knowledge of the destructions and also establishing some communication links among the survivors. This paper focuses on the vital need for providing communications facility to the victims, immediately after(More)
A technique of Satellite Communication technologies based on Neural Networks approach is proposed for modeling nonlinear memoryless communication channels in satellites. The input and output data of the Traveling Wave Tube Amplifier (TWTA) is taken and a Neural Network model is designed to simulate the functionality of TWTA. The idea is presented to use the(More)
Different methods have been carried out in order to estimate process capability in the literature, which many of them such as process capability indices and probability plot are used from a probability distribution function (PDF). However, in real case problems, because of system constraints e.g. sampling cost and environmental limitations, obtaining a PDF(More)
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