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29,922 Article Results

Automatic recognition of the digital modulation types using the artificial neural networks

10.11591/ijece.v10i6.pp5871-5882
Saad S. Hreshee
As digital communication technologies continue to grow and evolve, applications for this steady development are also growing. This growth has generated a growing need to look for automated methods for recognizing and classifying the digital modulation type used in the communication system, which has an important effect on many civil and military applications. This paper suggests a recognizing system capable of classifying multiple and different types of digital modulation methods (64QAM, 2PSK, 4PSK, 8PSK, 4ASK, 2FSK, 4FSK, 8FSK). This paper focuses on trying to recognize the type of digital modulation using the artificial neural network (ANN) with its complex algorithm to boost the performance and increase the noise immunity of the system. This system succeeded in recognizing all the digital modulation types under the current study without any prior information. The proposed system used 8 signal features that were used to classify these 8 modulation methods. The system succeeded in achieving a recognition ratio of at least 68% for experimental signals on a signal to noise ratio (SNR = 5dB) and 89.1% for experimental signals at (SNR = 10dB) and 91% for experimental signals at (SNR = 15dB) for a channel with Additive White Gaussian Noise (AWGN).
Volume: 10
Issue: 6
Page: 5871-5882
Publish at: 2020-12-01

A native enhanced elastic extension tables multi-tenant database

10.11591/ijece.v10i6.pp6618-6628
Magy El Banhawy , Walaa Saber , Fathy Amer
A fundamental factor of digital image compression is the conversion processes. The intention of this process is to understand the shape of an image and to modify the digital image to a grayscale configuration where the encoding of the compression technique is operational. This article focuses on an investigation of compression algorithms for images with artistic effects. A key component in image compression is how to effectively preserve the original quality of images. Image compression is to condense by lessening the redundant data of images in order that they are transformed cost-effectively. The common techniques include discrete cosine transform (DCT), fast Fourier transform (FFT), and shifted FFT (SFFT). Experimental results point out compression ratio between original RGB images and grayscale images, as well as comparison. The superior algorithm improving a shape comprehension for images with grahic effect is SFFT technique.
Volume: 10
Issue: 6
Page: 6618-6628
Publish at: 2020-12-01

The LSTM technique for demand forecasting of e-procurement in the hospitality industry in the UAE

10.11591/ijai.v9.i4.pp757-765
Elezabeth Mathew , Sherief Abdulla
The hospitality industry is growing at a faster pace across the world which has resulted in the accumulation of a huge amount of data in terms of employee details, property details, purchase details, vendor details, and so on. The industry is yet to fully benefit from these big data by applying ML and AI. The data has not been fully investigated for decision-making or revenue/budget forecasting. In this research data is collected from a chain hotel for advanced predictive analytics. Descriptive and diagnostic analytics is done to an extent across the hotel industry, whereas predictive and prescriptive analysis is done rarely. Demand forecasting for spend and quantity is done using the LSTM technique in e-procurement within the hospitality industry in the UAE. Five years of historical data from a chain hotel in the UAE is used for deep learning in this study. The results confirm the ability of LSTM model to predict e-procurement spend and order forecast for six months. LSTM time series analysis is considered the most suitable technique for demand forecasting to optimize e-procurement.
Volume: 9
Issue: 4
Page: 757-765
Publish at: 2020-12-01

Real time modified programmable universal machine for assembly (PUMA) 560 with intelligent controller

10.11591/ijeecs.v20.i3.pp1194-1202
Yousif I. Al Mashhadany , Wesam M. Jasim
In this work, the design of an integrated industrial application for use on a modified PUMA 560 robot arm was presented. The modified PUMA 560 robot has three joints; two of them are free-moving and the third one is at constant 90 degree angle. It has three links and two extra Griper links. Each joint was controlled via a DC motor through a PIC microcontroller. The design and implementation of modified PUMA 560 with electronic circuits to derive the motor were used with the robot and the working platform. These electronic circuits were also used to interface with the computer to control the DC motor based on the computer orders. The control signals used to control the application control system and to perform the defined tasks were received from a remote computer connected via internet. This design has been implemented in two phases; the first phase was the simulation of the complete control system, while, the second phase was the practical implementation. The obtained results were ensured the ability of the proposed system to perform the tasks of many industrial applications.
Volume: 20
Issue: 3
Page: 1194-1202
Publish at: 2020-12-01

Harmonic spectra of BLDC motor supplied by a solar PV multilevel inverter

10.11591/ijeecs.v20.i3.pp1693-1702
Afaneen Anwer Abbood
The multilevel inverters have been used especially in renewable energy aspects in order to assess total harmonic distortion (THD).  THD is considered to produce a good quality of current signal of BLDC motor drive. In this paper, a solar PV inveter fed brushless DC (BLDC) motor drive is discussed considering two topologies of three phase multilevel inverters. These topologies are flying capacitor and clamped diode inverters. The inverter efficiency and output power have an effectiveness on THD values. A boost dc to dc converter using incremental conductance maximum power point tracking (INC-MPPT) is implemented with a solar PV. The mathematical model of the proposed systems ares tudied via simulation using Matlab/Simulink. The simulation results of a BLDC motor based on two multilevel inverters are compared with each other considering the  THD and the utilization of the dc-bus voltage, the comparition verified  that the clamped diode inverter has a better harmonic spectra.still the overshoot is a little bit high in the two types of inverter that are proposed. 
Volume: 20
Issue: 3
Page: 1693-1702
Publish at: 2020-12-01

Coast function parameters optimization for DC battery source inverter feeding three-phase inductive load

10.11591/ijpeds.v11.i4.pp1799-1804
Riyadh G. Omar
The commonly reported measures of the predictive accuracy are evaluated in this paper. Absolute, squared, percentage, and integral errors methods are implemented, to reduce the objective function, which employed in model predictive control. These methods are usually investigated for dc source inverter, which controlled by finite set model predictive current control system, with three phase induction motor load. In this paper, the evaluation includes different aspects, accuracy, complexity, system harmonics content, and execution time. A vital criterion in this process is the performance of the inverter, and the matching between the reference and the measured machine currents. The evaluation shows that for one term objective function, absolute and square errors give similar results with less execution time for the absolute error, but if multi terms objective function the square error is better.
Volume: 11
Issue: 4
Page: 1799-1804
Publish at: 2020-12-01

Direct predictive speed control of permanent magnet synchronous motor fed by matrix converter

10.11591/ijpeds.v11.i4.pp2183-2193
Najmeh Movahhed Neya , Sajad Saberi , Babak Mozafari
This paper proposes a non-cascade -single loop- Direct Speed Control algorithm for surface mounted Permanent Magnet Synchronous Motor (PMSM) fed by Matrix Converter. The proposed method uses Finite Control Set Model Predictive Control (FCS-MPC) to manipulate system speed and currents simultaneously. Also, for better performance of the predictive method, an observer designed to estimate mechanical torque and other uncertain parameters of the mechanical subsystem as a lumped disturbance. Simulation results using Matlab/Simulink demonstrate the performance of proposed algorithm.
Volume: 11
Issue: 4
Page: 2183-2193
Publish at: 2020-12-01

Students’ perceptions toward vocational education on online learning during the COVID-19 pandemic

10.11591/ijere.v9i4.20766
Khusni Syauqi , Sudji Munadi , Mochamad Bruri Triyono
The impact of the Covid-19 pandemic has spread almost throughout the world. It makes all educational institutions in Indonesia experienced a lockdown in an undetermined time. As a result, teachers must switch to online teaching methods, while students must adapt to the online learning environment in a short time. Vocational education emphasizes not only the mastery of knowledge but also skills. In the learning process, students' perceptions can be used as evaluations to improve the quality of learning. This study aimed to provide an overview of students' perceptions of Mechanical Engineering Education on online learning as a result of the impact of the Covid-19 pandemic. This study used survey methods and data collection in the form of instruments with a Likert scale with a sample of 56 students. The results of this study indicate that teachers in managing online learning are not in line with student expectations. Students feel that online learning has not provided better experience and productivity in mastering competencies, but can provide motivation and ease in their learning. Some students stated that they had the ease of access to resources, but students were still reluctant to use it sustainably in the future.
Volume: 9
Issue: 4
Page: 881-886
Publish at: 2020-12-01

Islanding detection in a distribution network with distributed generators using signal processing techniques

10.11591/ijpeds.v11.i4.pp2099-2106
Seong-Cheol Kim , Papia Ray , Surender Reddy Salkuti
This paper proposes quick & accurate islanding detection technique for a distribution system with distributed generators (DGs). Here two schemes of islanding detection based on signal processing is proposed of which one is based on discrete wavelet transform (DWT) with artificial neural network (ANN), and another one is based on S-transform with ANN. The negative sequence current/voltage signals are retrieved at targeted DG location which are used for islanding detection in the distribution system. Here, the wavelet and S-transforms are used for fault location and classification applications. Further, the feature extraction is used for reducing the size of data matrix by transforming it into set of features. In this work, particle swarm optimization (PSO) based feature selection scheme is applied. Simulation results on test system indicate the efficacy of proposed islanding detection techniques.
Volume: 11
Issue: 4
Page: 2099-2106
Publish at: 2020-12-01

Flux modulated rotating pole piece magnetic gear

10.11591/ijpeds.v11.i4.pp1731-1736
Mohd Firdaus M. A Halim , E. Sulaiman , R. N. F. K. R. Othman
In this paper, the CMG is re-condition so that the pole piece act as the outer rotor instead of surface mount PM. This magnetic coupling of the CMG is similar to the conventional CMG which uses harmonic to transfer the torque and speed from the inner rotor to the outer rotor. The working principle of the proposed CMG is derived analytically and simulated using finite element software. For this recondition, the PM at the outer section become stationary hence, retaining sleeve can be removing. The proposed MG produced 18% higher average torque than the conventional MG with drawback in torque ripple. The proposed CMG also produce higher gear ratio than the same pole pair of conventional CMG.
Volume: 11
Issue: 4
Page: 1731-1736
Publish at: 2020-12-01

An improved method for efficient controlling of the dynamic voltage restorer to enhance the power quality in the distribution system

10.11591/ijpeds.v11.i4.pp1958-1965
Ali Basim Mohammed , Mohd Aifaa Mohd Ariff , Sofia Najwa Ramli
This paper represents a low complexity of the DVR controller by using a robust differentiator named as approximate classical sliding mode differentiator (ACSMD) to overcome the drawback of the linear differentiator. Additionally, utilize a nonlinear sliding variable named arctan function (sigmoid function) in order to keep the magnitude of the load voltage approximately 1pu, the THD at the standard level, improve the robustness property and maintain the steady-state error within a small bound. The most important issues of the power system network are power quality, the major problems of power quality are voltage sag/swell and harmonics which cause tripping or malfunctioning of the equipment. This paper gives an economic and effective solution by utilizing the dynamic voltage restorer to protect the sensitive loads from the disturbances that happened in the system such as voltage sag/swell and harmonics. The proposed system of the DVR is investigated by utilizing MATLAB/Simulink to enhance the disturbances when it occurs in a distribution system. The presents DVR model is evaluated by utilizing some of the popular voltage sag indices.
Volume: 11
Issue: 4
Page: 1958-1965
Publish at: 2020-12-01

Novel technique for hill climbing search to reach maximum power point tracking

10.11591/ijpeds.v11.i4.pp2019-2029
Ahmed Samir Badawi , Nurul Fadzlin Hasbullah , Siti Hajar Yusoff , Aisha H Hashim , Alhareth Zyoud
In this paper, a new technique has been proposed to solve the trade off common problem in hill climbing search algorithm (HCS) to reach maximum power point tracking (MPPT). The main aim of the new technique is to increase the power efficiency for the wind energy conversion system (WECS). The proposed technique has been combined the three-mode algorithm to be simpler. The novel algorithm is increasing the ability to reach the MPPT without delay. The novel algorithm shows fast tracking capability and enhanced stability under change wind speed conditions.
Volume: 11
Issue: 4
Page: 2019-2029
Publish at: 2020-12-01

The algorithm of adaptive control for active suspension systems using pole assign and cascade design method

10.11591/ijra.v9i4.pp271-280
Chi Nguyen Van
This paper presents the active suspension system (ASS) control method using the adaptive cascade control scheme. The control scheme is implemented by two control loops, the inner control loop and outer control loop are designed respectively. The inner control loop uses the pole assignment method in order to move the poles of the original system to desired poles respect to the required performance of the suspension system. To design the controller in the inner loop, the model without the noise caused by the road profile and velocity of the car is used. The outer control loop then designed with an adaptive mechanism calculates the active control force to compensate for the vibrations caused by the road profile and velocity of the car. The control force is determined by the error between states of the reference model and states of suspension systems, the reference model is the model of closed-loop with inner control loop without the noise. The simulation results implemented by using the practice date of the road profile show that the capability of oscillation decrease for ASS is quite efficient.
Volume: 9
Issue: 4
Page: 271-280
Publish at: 2020-12-01

Tracking for inspection in energy transmission power lines using unmanned aerial vehicles: a systematic review of current and specific literature

10.11591/ijra.v9i4.pp233-243
Wander M. Martins , Antonio J. Dantas Filho , Leandro D. de Jesus , Adler D. de Souza , Alexandre C. B. Ramos , Tales C. Pimenta
Power transmission lines are of great importance for the operation of all sectors of society, such as commerce, industry and public agencies. To ensure reliability and availability of power supply, regular and occasional inspections are conducted, mostly using patrol with binoculars, helicopters or truck cranes. Research is being developed using unmanned aerial vehicle (UAV) to make this activity autonomous, faster, safer, and less costly. The present work aims to analyze research related to the autonomous control of the UAV along the transmission lines through a systematic review of the literature (SRL), apply a viable solution and to verify the possible lacuna in this state of the art. Improvements in safety, computational process and energy efficiency with low-cost were identified. The results presented can help the research community to perform the working this state of art, from the suggestions of autonomous tracking of transmission lines.
Volume: 9
Issue: 4
Page: 233-243
Publish at: 2020-12-01

Students’ self-regulation and motivation in learning science

10.11591/ijere.v9i4.20657
Tanti Tanti , Maison Maison , Boby Syefrinando , Mahbub Daryanto , Hayyu Salma
The student's self-regulation and motivation are essential for students to study. Especially with 21st-century learning students are required to be more active in learning than teachers. This Mixed Methods research aimed to determine the influence between the students' self-regulation with the motivation of students learning. The sample size was 534 students from Madrasah Tsanawiyah in Jambi city, Indonesia determined by total sampling technique. Data were then analyzed with the SPSS 21 application to find descriptive statistics as well as inferential statistics using simple regression and for comparison using the independent sample T-Test. The results of this research are dominant in both self-regulation and student motivation in learning, which is strengthened by the relationship and influence between self-regulation and the motivation of students in learning. It is seen from the value of sig = 0.019 and has a contribution of 70.3%. According to the results, it is recommended that students need to be given the opportunity to conduct learning directly and teachers must perform innovative learning.
Volume: 9
Issue: 4
Page: 865-873
Publish at: 2020-12-01
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