نشریه مهندسی مخابرات جنوب
پیاپی 17 (پاییز 1394)

In this paper, linear model of vehicle suspension accomplished by PID controller has been used to train the ANFIS system, which is instructed online using the PID controller output error and following the training, the PID controller leaves the loop and then the Adaptive Neural – Fuzzy inference system (ANFIS) takes the responsibility of controlling the system by itself. In case of the alteration of the controlled system parameters, the controller will be re-entered the loop and the network will be re-trained using the new error.An important feature of this technique is that it does not require mathematical model of system components such as actuator, spring, shock absorber, all of which are nonlinear; Jacobian system is not required as well. Finally the functional outputs of the controller (ANFIS) which is trained with the usage of a PID controller is compared with a pure proportional-derivative controller. The results show that the controller has been well designed to meet the wished objectives.

Designing a high efficiency delay-element is a challenge for low-power low-voltage digital circuits. The delay element circuit has a considering effect on efficiency of low-voltage digital circuits. In sub-micron technologies that lowering the power and the voltage of the systems is essentially required, design of a highly linear large dynamic range delay element is an important issue for designers. In this paper high linearity delay element is proposed employing the sub-threshold source coupled logic (STSCL) circuits. The presented circuit has a considerable controlling of the delay value by a control voltage. Improvements of dynamic-range and the linearity of the circuit show the operation of the delay element in sub-threshold region.

The development of complex software systems Wants models that non-functional requirements evaluation of systems do in the development process, especially in the early stages. Architecture evaluation is done in different ways Hence need to have a way to integrate non-functional requirements. This Paper, MVC design pattern show in the form of framework based on extensible markup language for evaluating performance non-functional requirements. This framework is based on Petri nets that help can be it provided the MVC design pattern. The current study compared with RelatedWork provides Take advantage of Extensible Markup Language,   To address non-functional requirements and will be drawn an executable model of the application.

In This Article represented effective voltage level converter that changeable more low level voltage to high level for high frequency application. In order to avoid the static power dissipation, the proposed structure uses a current generator which turns on only during the transition times in which the logic level of the input signal is not corresponding to the output logic level. The operation of the proposed structure is also analytically investigated in 0.18um CMOS technology that show proposed voltage level converter at high frequency has good performed.in higher than of 1GHz frequency proposed voltage level make delay about one of period that with an inverter we have best operation.

Although a large number of remote sensing image classification algorithm is proposed, but rarely performance of them are compared with each other. In this research, we classify satellite remote sensing images using two unsupervised classification algorithm and eight supervised classification algorithm which includes a number of common algorithms twenty years, tested and compared.  Our analysis focused on satellite images of the 12 spectral bands.  In comparison of these algorithms, the number of training samples is equated. These algorithms are compared with each other in terms of complexity, accuracy and reliability. The results show that accuracy of classification directly proportion to the number of training samples. The user can also choose efficient algorithms, depending on the complexity, accuracy and reliability of each parameter.