Abstract The closed-form simple expressions for the bit error rate (BER) in multiple input – multiple output (MIMO) systems operating under flat and quasi-static Rayleigh fading have been derived on the basis of positional statistics. Next, this approach has been extended on the dynamic and crosscorrelated scenarios. The agreement between analysis and simulation results is good.... The closed-form simple expressions for the bit error rate (BER) in multiple input – multiple output (MIMO) systems operating under flat and quasi-static Rayleigh fading have been derived on the basis of positional statistics. Next, this approach has been extended on the dynamic and crosscorrelated scenarios. The agreement between analysis and simulation results is good. Read More Read Less

Abstract The control of walking robots has improved dramatically over the last few years. Several methodologies have been developed for this. As one of them, in this work, we used fuzzy logic controller that generates angular of the knees in order to active a desired position of the center of mass. We present a fuzzy gait generator, FGG, that generates the... The control of walking robots has improved dramatically over the last few years. Several methodologies have been developed for this. As one of them, in this work, we used fuzzy logic controller that generates angular of the knees in order to active a desired position of the center of mass. We present a fuzzy gait generator, FGG, that generates the angular trajectories of a biped robot. The FGG, is a neuro-fuzzy gait generator that used a classical geometric model of a 5 segments representation and replicated its comportment. The obtained controller has the same comportment of a classical geometric model and could be an alternative to it. Read More Read Less

Abstract Condition monitoring systems using vibration measurements and supervised classifiers can be used to automate the diagnosis process of rotating machines. In this paper, we describe an automatic diagnosis system for detection and classification of defects in ball bearings using a time varying parametric spectrum estimation method for analyzing nonstationary vibration signals. The classification task is accomplished by an adaptive neural... Condition monitoring systems using vibration measurements and supervised classifiers can be used to automate the diagnosis process of rotating machines. In this paper, we describe an automatic diagnosis system for detection and classification of defects in ball bearings using a time varying parametric spectrum estimation method for analyzing nonstationary vibration signals. The classification task is accomplished by an adaptive neural fuzzy inference system. The designed system was developed to be able to classify four types of preestablished defects in ball bearings operating under several shaft speeds and load conditions. The system was tested with experimental data collected from drive end ball bearing of an induction motor driven by mechanical system. Read More Read Less

Abstract This research was carried out to design a hardware and a software of the GPS based on GSM network in order to evaluate the implemented system experimentally. The proposed GPS/GSM based system model includes two parts which are the mobile unit and the control station. The mobile unit consists of Personal Computer PC-A connected to GSM modem- A and GPSreceiver... This research was carried out to design a hardware and a software of the GPS based on GSM network in order to evaluate the implemented system experimentally. The proposed GPS/GSM based system model includes two parts which are the mobile unit and the control station. The mobile unit consists of Personal Computer PC-A connected to GSM modem- A and GPSreceiver through the computer’s USB ports, while the Control Station consists of another Personal Computer PCB connected to GSM modem-B. This setup provides communication between PC-A and PC-B via SMS protocol. The system processes, interfaces, connections, data transmission and reception of data between the mobile unit and the control station has been carried out and tested successfully and accuracies less than 9m and 0.6m are obtained compared with the original coordinates using ordinary GPS and differential GPS respectively. Read More Read Less

Abstract In this paper the control system is designed using Proportional-Integral-Differential (PID) controller with model transfer function of the plant in which temperature is to be controlled and an effort to present the practical circuitry and Time response and Frequency Response analysis is done both theoretically and by simulation. The response is testing by MatLab Simulink and PSpice for the same... In this paper the control system is designed using Proportional-Integral-Differential (PID) controller with model transfer function of the plant in which temperature is to be controlled and an effort to present the practical circuitry and Time response and Frequency Response analysis is done both theoretically and by simulation. The response is testing by MatLab Simulink and PSpice for the same and a comparative result is finally presented. Read More Read Less