The Linear multiple regression model is one of the prediction models whose parametric estimations could be achieved in different methods. With the advent of modern technologies and modern information technologies and its impact on various aspects of life, using it as a tool to facilitate learning in all the courses, and in particular mathematics, is inevitable. Meanwhile, the key role of the teacher in the teaching-learning process, the need for teachers to prepare teachers to face the diversity of existing technologies, to measure and identify efficient tools and apply them to teaching, undeniably undeniable. Which will be very complicated. In order to prepare for the teaching of mathematics, their teachers must have a profound and broad understanding of the subjects and mathematical subjects in order to be able to generalize and understand the content and educational technology of technology, to what Meaning of education along with technology. In fact, the need for the interference between the two areas of mathematics and technology is the dominance of teachers in both domains. In other words, teaching along with technology means that as long as the teacher thinks about specific mathematical concepts, one must simultaneously contemplate how to make mathematical concepts comprehensible to his students using the technology of expression In this research, we have tried to highlight the role of teachers in identifying the achievements of using technology in mathematics education in order to better realize this important issue.

Space Vector Pulse Width Modulation, SV-PWM, is an efficient technique for dc to ac voltage conversion through an inverter of power electronics devices. This paper presents a proposed memorized approach for SV-PWM implementation. The work bases on storing six symmetric pattern formats of space vector in a memory structure. Then, sequential fetching of the stored data provides basic optimum firing triggers TRA, TRB and TRC for driving the inverter switching elements. Main contribution of the paper is controlling the inverter output frequency online through adjusting the fetching period. Moreover, the presented approach characterizes by simplicity, cost effective and activity in achieving the space vector technique. Validity of the proposed method was practically examined through a hardware built workbench, which based on the microcontroller ATMEGA 2560. Meanwhile, the optimum firing sequences were exported to a MATLAB algorithm to check the harmonics, which are expected to accompany the inverter output ac power.

Non-crystalline silicon has a leading position in many fields of electronic industrial applications. With this type of silicon material, localized states in the middle of the energy gap, play an important role in determining the wafer characteristic. Therefore, the region around the middle of the energy gap is regarded as the center of charge carrier activities, whereas the occupancy function is employed to define the condition of the localized states, whether they are empty or filled with charge carriers. The occupancy function is divided into three parts within the energy gap. The most important part is the gap center which is always a flat region of a certain width and level. This paper investigates the effect of various parameters on width and level of the flat region of the silicon wafer occupancy function. The work was achieved with the aid of statistical approaches for curve fitting through regression equations. The main contribution is verified through creating a novel MATLAB-SIMULINK model for this case study. The proposed model may represent a significant addition to the Simulink library that does not have such a modelling block.

No abstract