M. S. S. Khan

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This research work presents an application of fuzzy logic for multi-agent based autonomous traffic lights control system using wireless sensors to overcome problems like congestion, accidents, speed and traffic irregularity. The proposed agent based approach can provide a preferred solution by minimizing the vehicle waiting time especially the emergency(More)
The SIR model is used extensively in the field of epidemiology, in particular, for the analysis of communal diseases. One problem with SIR and other existing models is that they are tailored to random or Erdos type networks since they do not consider the varying probabilities of infection or immunity per node. In this paper, we present the application and(More)
Nowadays, multilevel voltage source inverters offer several advantages compared to their conventional two-level inverters. In these inverters, by synthesizing several levels of dc voltages, the staircase output waveform is produced. The structure of this waveform will have lower total harmonic distortion which leads to an approach to a desired sinusoidal(More)
this paper presents the bio-inspired neurofuzzy based route selection system to avoid traffic congestion. The proposed neuro-fuzzy system selects the best multi-parameters direction between two desired nodes: source and the endpoint. This research practices a mixture of neuro-fuzzy logic and ant colony system (ACS) algorithm for the principal routing to(More)
this paper presents the approach of neuro fuzzy systems to design autonomous vehicle control system. The purposed intelligent controller deliberates obstacles avoidance, unstructured environment adaptation and speed scheduling of autonomous vehicle based on neuro-fuzzy with reinforcement learning mechanism. The purposed system provides the autonomous(More)
Indeed machine learning models have played a significant role in bioinformatics to classify protein and DNA sequences. But large number of these models; have been evolved by learning amino acid sequence data. We are developing a new approach to evolve classification model(s) by learning amino acid sequence data and associative classification rules based on(More)
This research work presents an autonomous system for premises environment control using fuzzy logic. This proposed design of control system has four inputs: luminance intensity, luminance mode, temperature and humidity. There are six controlling outputs for luminance controller, air conditioner, ceiling fan, air-cooler fan, water-pump and heating unit. This(More)
This paper presents the design model of speed scheduling system of autonomous railway vehicle control using fuzzy inference system (FIS). Successful development of speed scheduling and maintaining system plays crucial role to make autonomous railway vehicle control system more effective under constraint of uncertain conditions. This research work emphasis(More)