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Undergraduate engineering students must acquire practical skills alongside learning theory to better prepare them for their career. In the last two decades, simulation softwares in electromagnetics have become widespread in both industry and academia. But these softwares are not usually taught in electrical engineering (EE) programs, thus leaving a gap in skills of graduates when entering the job market or graduate school. In the first semester of 2020-2021, a new course entitled "Computer simulations in electromagnetics" was designed and offered in the School of EE of Sharif University of Technology which was a new step on a national and international level. The course objective was to teach the correct methods of simulation using three widespread softwares in the field of microwave and photonics, which cover most aspects of this field. In this paper, we discuss the main ideas behind the creation of this course, its syllabus, presentation method, as well as challenges and achievements in this effort. In addition to filling the educational gap in EE programs, this laboratory increases student interest and motivation, better prepares students for future, and allows for a virtual laboratory (especially in periods such as the Covid 19 pandemic). [ABSTRACT FROM AUTHOR]

This paper deals with real time DC motor speed control, using the low-cost new generation TMS320LF2812 digital signal processor (DSP). An optimal control algorithm which can be realized through event manager (EV) module of the DSP is proposed. According to the error signal DSP processor will change the duty cycle of the PWM (which can be named mark-space ratio). The comparison between two signals (reference and actual speed) in addition to the PWM technique are included in a C++ language program. Code composer studio (CCS) is used to load and run the program to achieve real time control. Theoretically Matlab/Simulink software was used for simulation the proposed circuit before implementation. A PID controller is designed using MATLAB to generate a set of coefficients associated with the desired controller characteristics. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Ilam University of Medical Sciences is the property of Ilam University of Medical Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Scaling factor tuning is one of the most used method to enhance the performance of a fuzzy controller. This paper presents two intelligent tuning strategies to tune this factor. In the first strategy, a supervisor fuzzy controller SFC was designed to continuously adjust, on line, the scaling factor of the basic fuzzy controller BFC based on the error and change of error signals. In the second strategy, a neural network NN is used to do this task. Performance of the tuning strategies are compared with corresponding conventional fuzzy controller in terms of several performance measures such as steady state error, settling time, rising time, and peak overshoot. Simulation results show that SFC performance is better. The system implementation and tests are carried out using LabVIEW (V 8.2). [ABSTRACT FROM AUTHOR]

Copyright of Iraqi Journal of Architecture & Planning is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Dirasat: Educational Sciences is the property of University of Jordan and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Al-Rafadain Engineering Journal is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

A computer model was made to find drain spacing with Hooghout equation then SALTMOD was applied for water and salt balances of four different soils. Crop rotation with alfalfa in 50% of the land as continuous crop(in winter and summer) and 50% of the land wheat in winter then maize in summer season. Drain spacing can be increased than that calculated with Hooghout equation according to soil type and critical water table depth, So salinity, and water table depth were increased without exceeding root zone depth, in clay loam soil. Whereas it's increase has little effect on loamy sand soil, therefore, the best drain spacing can be chosen according to acceptable salinity in the soil . SALTMOD gives, depending on cumulative Gumbel distribution, a reasonable indication of the predicted change in soil salinity. Under the proposed conditions of irrigation and drainage after, 10 years , the root zone salinity in 80% of area irrigated with 0.5 ds/m water, was predicted to increase in summer to, 9.46, 8,7.53, 4.3 ds/m in the clay loam, loam, sandy loam, loamy sand soil respectively. [ABSTRACT FROM AUTHOR]