Recent Advances in Electrical & Electronic Engineering - Volume 14, Issue 6, 2021

Background: The computer assisted speech recognition system enabling voice recognition for understanding the spoken words using sound digitization is extensively being used in the field of education, scientific research, industry, etc. Objective: This article unveils the technological perspective of automated speech recognition system in order to realize the spoken English speech recognition system based on MATLAB. Methods: A speech recognition technology has been designed and implemented in this work which can collect the speech signals of the spoken English learning system and then filter those speech signals. This paper mainly adopts the preprocessing module for the processing of the raw speech data collected utilizing the MATLAB commands. The method of feature extraction is based on HMM model, codebook generation and template training. Results: The research results show that the recognition accuracy of 98% is achieved by the spoken English speech recognition system studied in this paper. It can be seen that the spoken English speech recognition system based on MATLAB has high recognition accuracy and fast speed. Conclusion: This work addresses the current research issued needed to be tackled in the speech recognition field. This approach is able to provide the technical support and interface for the spoken English learning system.

Background: Computer vision studies and three-dimensional (3D) models are used to restore two-dimensional (2D) images. Computer vision studies have been conducted in the computer graphic field, and due to its broad applications, numerous related explorations have been performed. Methodology: To directly and effectively convey the design concept of the virtual vision technology, the graphic design was changed from 2D to 3D, which broadened the graphic design development space. Based on the 3D virtual vision and interactive design, this study constructed an interior design platform. After the detailed introduction of the function design of the 3D virtual visual effect displays of the interior design platform, the 3D virtual rendering functions of the interior design platform were designed. Results: When the traditional interior design platform was improved, panoramic information combined with 3D virtual vision technology can be used to record and analyze the results and to generate the corresponding image workflow for establishing a completely functional interior design platform. Based on this, ordinary and interior design platforms were comparatively analyzed. Conclusion: The interior design platform can accurately determine the interior landscape position and draw good 3D images.

Background: To study the application of the mathematical programming method in agricultural machinery operation optimal allocation and scale management, this paper adopts the nonlinear programming method to establish the relevant mathematical model. Methodology: This paper investigates the crop planting area, mechanization level, and agronomic direction requirements, production situation, and technological process of corn planting mode. Results: The structure of agricultural machinery equipment is relatively reasonable, and the production efficiency is high. In the whole process of corn production, 11.195 million yuan of maize production value was optimized. The proper harvest time of corn was 5 days, the planting time of wheat was 26 days, and the harvest time of wheat was 10 days. Conclusion: The optimal allocation quantity of agricultural machinery system is calculated by lingo software, and the mathematical model is established by combining non-linear programming.

Background: To improve the usage of computers, a very important role is played by the Human-computer interaction through Natural Language Conversational Interfaces. Speech recognition technology allows the machine to understand human language. To achieve this function, a speech recognition algorithm is used. Methods: In order to realize the embedded speech recognition function based on HMM under the ARM platform, this paper, mainly based on the basic theoretical research of speech signals, establishes the HMM model, uses speech collection, recognition and other methods, simulates on MATLAB, and integrates the recognition system ported to ARM for debugging and running. Results: The research results show that the accuracy of HMM model experimental recognition can reach 98%, and the speed of speech recognition simulation on ARM is faster than speech recognition. The innovation of this paper is to make a comprehensive system introduction to embedded speech recognition from the perspective of embedded systems, and perform speech recognition simulation on MATLAB. Conclusion: The conclusion shows that the HMM-based embedded unspecific continuous English speech recognition system has high recognition accuracy and fast speed.

Background: This paper presents an automatic instrument recognition method highlighting the deep learning aspect of instrument identification in order to advance the automatic process of video monitoring remotely equipment of substation. Methods: This work utilizes the Scale Invariant Feature Transform approach (SIFT) and the Gaussian difference model for instrument positioning while proposing a design scheme of the instrument identification system. Results: The experimental outcomes obtained proves that the proposed system is capable of automatically recognizing a modest graphical interface and study independently while improving the effectiveness of the appliance, thereby, realizing the purpose of spontaneous self-check. The proposed approach is applicable for musical instrument recognition, and it provides 92% of the accuracy rate, 87.5% precision value and recall rate of 91.2%. Conclusion: The comparative analysis with other state-of-the-art methods justifies that the proposed deep learning-based music recognition method outperforms the other existing approaches in terms of accuracy, thereby providing a practicable music instrument recognition solution.

This paper describes the Adaptive PID (APID) controller design for speed control preference of Brushless Direct Current (BLDC) motor over the Proportional Integrative Derivative (PID) controller. A methodology of the Adaptive PID controller is proposed, which tunes the parameters automatically. Modeling of the BLDC motor was carried out using PID and Adaptive PID controller, respectively. The behavior of the BLDC motor is analyzed without a controller and by using the conventional PID controller and the new APID controller. Hence the result obtained is analyzed and compared by taking two cases. In the first case of constant speed, the PID controller gave large variability in the initial speed and could not track the desired speed. Also, applied torque could not track the desired speed due to a significant deviation in the actual motor speed. Whereas, in the case of APID, the controller gave small variability in the initial speed and could track the desired motor speed. In the second case of variable speed, the PID controller produced a random response at a variable speed. Whereas, in APID, the controller had an accurate response at variable speed, with no deviation. The result obtained shows that the APID controller provides effective, easier, and fast controlling of the BLDC motor. The output response of the BLDC motor is achieved, and the result is analyzed with the help of utilizing MATLAB and SIMULINK. Background: The BLDC motor is considerably used in the home, transportation, and industrial application. Objective: Comparative analysis of modeling and control of BLDC motor drives for the variable required speed. Methods: PID and APID controllers are used in this paper to operate the BLDC motor. Results: A Fixed and variable speed response of both APID and PID controlled BLDC motor is obtained. Conclusion: Response of the speed control of APID controlled BLDC motor is superior to PID controlled BLDC motor at variable speed.

Background: Power reduction is a serious design concern for submicron logic circuits, which can be achieved by scaling the supply voltage. Modern Field Effect Transistor (FET) circuits require at least 60 mV of gate voltage for better current drive at room temperature. The tunnel Field Effect Transistor (TFET) is a leading future device due to its steep Subthreshold Swing (SS), which makes its ideal device at low power supply. Steep switching TFET can extend the supply voltage scaling with improved energy efficiency for both digital and analog applications. These devices suffer from large ambipolar current, which cannot be reduced using Dual Metal Gate (DMG) alone. Gate dielectric materials play a key role in suppressing the ambipolar current. Objective: This paper presents a new structure known as Triple-Gate-Dielectric (DM_TGD) TFET, which combines the dielectric and work function engineering to solve these problems. Methods: Because high dielectric material alone as gate oxide increases the fringing fields, which results in higher gate capacitance. The proposed structure uses DMG with three dielectric gate materials titanium oxide (TiO2), aluminum oxide (Al2O3) and silicon dioxide (SiO2). This structure has been simulated using 2-D ATLAS simulator in terms of drive current (Ion), ambipolar current (Iamb) and transconductance (gm). Results: The device offers better gm, lower SS, lower leakage and larger drive currents due to weaker insulating barriers at the tunneling junction. Furthermore, higher effective dielectric constant gives better gate coupling and lower trap density. Conclusion: The proposed structure suppresses the ambipolar current and enhances the drive current with reduced SCEs.

A spelling error appeared in the authors’ list of the article titled “Combined Preference Ranking Algorithm for Comparing and Initial Ranking of Cloud Services”, published in “Recent Advances in Electrical and Electronic Engineering”, 2020, Vol. 13, no. 2. [1]. Details of the error and a correction are provided here. We regret the error and apologize to readers. The original article can be found online at: https://benthamscience.com/journals/recent-advances-in-electrical-andelectronic- engineering/volume/13/issue/2/ ORIGINAL: Abdul Qadir Md and Varadarajan Vijayakumar CORRECTED: Abdul Quadir Md and Varadarajan Vijayakumar