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- Volume 14, Issue 6, 2021
Recent Advances in Electrical & Electronic Engineering - Volume 14, Issue 6, 2021
Volume 14, Issue 6, 2021
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A Research on HMM based Speech Recognition in Spoken English
Authors: Na Wang, Xiaohong Zhang and Ashutosh SharmaBackground: 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 Read More
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Graphic Design Method Based on 3D Virtual Vision Technology
Authors: Yanlin Chen, Wei Zou and Amit SharmaBackground: 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 fro Read More
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Optimal Allocation and Scale Operation of Agricultural Machinery Based on Mathematical Planning Method
Authors: Haixuan Wang, Chong Ye and Anil SharmaBackground: 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 Read More
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Implementation of Embedded Unspecific Continuous English Speech Recognition Based on HMM
Authors: Xiaoli Lu and Mohd A. ShahBackground: 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 pla Read More
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An Automatic Instrument Recognition Approach Based on Deep Convolutional Neural Network
Authors: Jiangyan Ke, Rongchuan Lin and Ashutosh SharmaBackground: 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 th Read More
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Comparative Analysis and Controller Design for BLDC Motor Using PID and Adaptive PID Controller
Authors: Supriya Kaul, Nitesh Tiwari, Shekhar Yadav and Awadhesh KumarThis 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 Read More
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Dual Metal Triple-Gate-Dielectric (DM_TGD) Tunnel Field Effect Transistor: A Novel Structure for Future Energy Efficient Device
Authors: Ajay K. Singh and Tan Chun FuiBackground: 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. St Read More
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Corrigendum to: Combined Preference Ranking Algorithm for Comparing and Initial Ranking of Cloud Services
Authors: Abdul Quadir Md and Varadarajan VijayakumarA 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://benthams Read More
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