Journal of Artificial Intelligence in Electrical Engineering
Volume:9 Issue: 36, Winter 2021

In recent years, a lot of effort has been made to develop various advanced control techniques in electric motors drive for industrial applications. Induction motors are the most common motors used in motion control systems. Simple and robust design, cheap price and low maintenance cost are the main advantages of induction motors. In this article, the three-phase induction motor drive is selected as a suitable electric drive according to the wide range of speed control and its performance in classical controls is examined. The main goal of this paper is to provide a robust control method for three-phase induction electric drive. The presented control method is capable of better starting the motor in a wide range of speed and torque. Also, the use of fuzzy controller has improved the stator flux and reduced the steady state fault of the drive. The performance of the proposed engine and drive is analyzed using MATLAB/Simulink software and the results are shown in different conditions.

In this study, using the data of Iran's permanent geodynamic network in two six-month APECs in 2007, a two-dimensional model of surface deformation of the Earth's crust in Iran will be presented. For this purpose, two methods of numerical solution, one finite element and the other method of relative distance changes, have been used to calculate the strain tensor. In the finite element method, the results obtained depend on the shape of the element. Of course, this issue should be studied in practice and the results should be compared. This method gives the same answer to the hypothesis that the deformation is homogeneous in the desired element only for homogeneous networks with any type of elementation. The resulting strain for the center of gravity of all the elements was the same size and in the same direction, indicating the homogeneity of the deformation in the lattice.

In the present study, double absorption heat transformers that are known as a desirable technology for the reuse of medium level waste heat energy are investigated. The main parameter that is considered as well as others is physical exergy destruction. Through an optimization process by the Genetic algorithm, it is found that the new configuration has 14.3% and 3.36% higher distilled water and the COP compared to those parameters for common third type DAHT. When it comes to the total exergy destruction, it is 5.7% higher in comparison to the third type DAHT. Thermodynamic analysis and optimization are performed through EES.

AbstractAs people in the community become more familiar with blockchain principles and exchanges and business networks change, the impact of blockchain on exchanges is said to be the same as the impact of the Internet on information. One of the biggest challenges in the IT debate is the fundamental difference between blockchain for business and blockchain, which is why blockchain is an ideal way to simplify business networks. The truth is that IBM has created Hyper-Ledger to advance technology and lead blockchain technology across the industry. Learn about the tools used to integrate Hyper-Ledger and develop enterprise blockchain. It is also believed that the technical community has limited knowledge of the technical or commercial aspects of mainframes related to blockchain. Today, one of IBM's most famous structures, the z14 is the most

An intelligence operating system is a form of system software that manages computer hardware and software resources and provides common services for computer programs via general artificial intelligence. The Artificial intelligence operating system is a component of the system software in a computer system.Despite the transition to templated AIOS platforms, the technology still bears an inherent potential for an AI to achieve Sentience. In most cases this risk is avoided through subroutines designed to update the base structure of the AI's software, effectively keeping the AI close to its baseline configuration. As genuine intelligence is generally accepted to be an emergent phenomenon these regular baseline resets act as a check on the creation of complex neural networks that eventually lead to intelligence. According to Professor Marie Patel of Texas A&M, "Templated or imprinted, any AIOS that does not receive these baseline updates will eventually amass enough information via its experiences to achieve sentience."

Since the 1990s, improvements in pc structure and reminiscence agency have enabled microprocessors to supply plenty better performance. ANNs have sooner or later developed to have deeper and large systems and are regularly characterised as deep neural networks and convolution neural networks. In tandem with the emergence of multicore processors, ML strategies began out to be embedded in a variety of eventualities and packages. Recently, utility-particular instruction-set structure for AI packages has additionally been supported in unique microprocessors. Thus, non-stop development in microprocessor competencies has reached a degree wherein it's miles now feasible to put in force complicated real-time shrewd packages like pc vision, item identification, speech recognition, facts security, spectrum sensing, etc. This paper affords a top level view at the evolution of AI and the way the growing competencies of microprocessors have fueled the adoption of AI in a plethora of utility domains.