Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

31,456 Article Results

Modular multilevel inverter for renewable energy applications

10.11591/ijece.v10i1.pp1-14
Arikesh A. , A. K. Parvathy
This paper proposes a Multilevel Inverter (MLI) which focuses on two objective , minimal voltage sources and lesser switching component. The proposed Asymmetrical Cascaded Multilevel Inverter (ACMLI) is able to achieve the objective by selectively opting the voltage level of DC sources chosen and implementing the mathematical operation of addition and subtraction on the DC sources. This system also utilizes multiple carrier sinusoidal pulse width modulation technique (MCS-PWM) for operating the switches. It is found that the number of switches required for proposed modular bridge ACMLI and modified H bridge ACMLI was lesser than the traditional Cascaded H bridge Multilevel Inverter (CHB-MLI). It is also evident that the number of DC voltage sources and filter required for smoothing the output waveform is reduced compared to the traditional MLI. The Total Harmonic Distortion (THD) for the proposed circuit was simulated and analyzed in MATLAB Simulink environment and the results are found to be very less and satisfactory. The proposed circuit can find its application in integrating Renewable Energy Sources (RES) to the utility grid, Electrical Vehicle (EV) , harmonic reduction and so on. The simulation results of the proposed circuits are tabulated and compared with the traditional cascaded MLI.
Volume: 10
Issue: 1
Page: 1-14
Publish at: 2020-02-01

Application on character recognition system on road sign for visually impaired: case study approach and future

10.11591/ijece.v10i1.pp778-785
Jaejoon Kim
Many visually impaired people worldwide are unable to travel safely and autonomously because they are physically unable to perceive effective visual information during their daily lives. In this research, we study how to extract the character information of the road sign and transmit it to the visually impaired effectively, so they can understand easier. Experimental method is to apply the Maximally Stable External Region and Stroke Width Transform method in Phase I so that the visually impaired person can recognize the letters on the road signs. It is to convey text information to the disabled. The result of Phase I using samples of simple road signs was to extract the sign information after dividing the exact character area, but the accuracy was not good for the Hangul (Korean characters) information. The initial experimental results in the Phase II succeeded in transmitting the text information on Phase I to the visually impaired. In the future, it will be required to develop a wearable character recognition system that can be attached to the visually impaired. In order to perform this task, we need to develop and verify a miniaturized and wearable character recognition system. In this paper, we examined the method of recognizing road sign characters on the road and presented a possibility that may be applicable to our final development.
Volume: 10
Issue: 1
Page: 778-785
Publish at: 2020-02-01

Design of parabolic solar dish tracking system using arduino

10.11591/ijeecs.v17.i2.pp914-921
Asif Ahmed Rahimoon , Mohd Noor Abdullah , Dur Muhammad Soomro , Murad Yahya Nassar , Z.A. Memon , P.H. Shaikh
This paper demonstrates the designing parameters of a solar parabolic dish prototype for rustic areas with great solar irradiance rate availability, where have no access of electricity services or low-income people survives to buy a stove (electric or gas). The solar parabolic dish prototype intends a solution against these types of remedies and pursues solar light to work. The parabolic dish has a polished surface, where the solar radiations fall and collected at a single concentrated focal point. At this point the collected form of energy is used to derive different thermal applications like as; cooking & heating with single and dual axis schemes. This paper discusses the important stages of dual axis prototype; implementation, solar location strategy, the analysis in terms of theory, structural design & material. The dual axis prototype is implemented through the help of Arduino chipboard that is easily in maintenance, along with that this prototype is configured with anti-lock H-bridge (L298) module to overcome the control circuit complexity and AVR modules. Two rotational motors of 12V are installed on 4*4ft designed aluminum frame with a dual-axis tracking system. The jerks among trackers are also reduced with this prototype which maintains the experimental declination angle about .To finish, this paper results that parabolic solar dish tracker obtains 3.43% improved power efficiency in comparison of photovoltaic panel tracker.
Volume: 17
Issue: 2
Page: 914-921
Publish at: 2020-02-01

Direct torque control of IM using PID controller

10.11591/ijece.v10i1.pp617-625
Ali Najim Abdullah , Mohammed Hasan Ali
Direct torque control "DTC" technique is one of a high performance control system of an AC motor drive, which was proposed after the vector oriented control scheme during the resent 25 years. It has been developed rapidly for its concise system scheme, transient and dynamic performance. The DTC mechanism consists of voltage vector selection table, two hysteresis comparators and two estimators one for stator flux and another for electromagnetic torque. DTC is directly control torque and flux by using Voltage Source Inverter VSI, space vector and stator flux orientation and indirect speed regulated. A several control techniques can be used for improving the torque and flux performance. In this paper, the DTC with Proportional-Integral-Derivative (PID) controller used to improve the starting and dynamic performance of asynchronous motor AM, which gives good torque and flux response, best speed control and also minimize the unacceptable torque ripple. The mathematical model of DTC with PID controller of 3-phase induction motor IM are simulated under Matlab-Simulink. Therefore, the DTC based on PID controller has good performance of IM compared to classical DTC for starting, running state and also during change in load.
Volume: 10
Issue: 1
Page: 617-625
Publish at: 2020-02-01

Image steganography using least significant bit and secret map techniques

10.11591/ijece.v10i1.pp935-946
Ashwaq Alabaichi , Maisa'a Abid Ali K. Al-Dabbas , Adnan Salih
In steganography, secret data are invisible in cover media, such as text, audio, video and image. Hence, attackers have no knowledge of the original message contained in the media or which algorithm is used to embed or extract such message. Image steganography is a branch of steganography in which secret data are hidden in host images. In this study, image steganography using least significant bit and secret map techniques is performed by applying 3D chaotic maps, namely, 3D Chebyshev and 3D logistic maps, to obtain high security. This technique is based on the concept of performing random insertion and selecting a pixel from a host image. The proposed algorithm is comprehensively evaluated on the basis of different criteria, such as correlation coefficient, information entropy, homogeneity, contrast, image, histogram, key sensitivity, hiding capacity, quality index, mean square error (MSE), peak signal-to-noise ratio (PSNR) and image fidelity. Results show that the proposed algorithm satisfies all the aforementioned criteria and is superior to other previous methods. Hence, it is efficient in hiding secret data and preserving the good visual quality of stego images. The proposed algorithm is resistant to different attacks, such as differential and statistical attacks, and yields good results in terms of key sensitivity, hiding capacity, quality index, MSE, PSNR and image fidelity.
Volume: 10
Issue: 1
Page: 935-946
Publish at: 2020-02-01

A combined variable reluctance network-finite element VR machine modeling for stator inter-turn short-circuit diagnosis

10.11591/ijece.v10i1.pp105-116
Rabeh Chehda , Noureddine Benouzza , Azeddine Bendiabdellah , Naouel Kada Belghitri
The work presented in this paper, proposes a comparison study between the network variable reluctance (NVR) model and the finite elements (FE) model intended for the diagnosis of stator inter-turn short-circuit (ITSC) of the variable reluctance machine (VRM). In the first place, the model of the VRM by the NRV is presented. To validate this model, the FE model of the VRM has been then studied. The detection of the ITSC is achieved by the use of the stator current spectral analysis technique. The simulation results obtained, illustrate well the interest and efficiency of the proposed model as well as of the merits of the stator current spectral analysis technique for the stator ITSC fault diagnosis of the VRM.
Volume: 10
Issue: 1
Page: 105-116
Publish at: 2020-02-01

Logic mining in football matches

10.11591/ijeecs.v17.i2.pp1074-1083
Liew Ching Kho , Mohd Shareduwan Mohd Kasihmuddin , Mohd. Asyraf Mansor , Saratha Sathasivam
Sports results forecast has became increasingly popular among the fans nowadays. It made predicting the outcome of a sport’s match, a new and interesting challenge. This paper presented a logic mining technique to model the results (Win Draw / Lose) of the football matches played in English Premier League, Spanish La Liga and France Ligue 1. In this research, a method namely k satisfiability based reverse analysis method (kSATRA) hybridized with Ant Colony Optimization (ACO) was brought forward to obtain the logical relationship among the clubs in these leagues. The logical rule obtained from the football matches was used to categorize the results of future matches. ACO is a population-based and nature-inspired algorithm to decipher several combinatorial optimization problems. kSATRA made use of the advantages of Hopfield Neural Network and k Satisfiability representation. The data set used in this study included the data of 6 clubs from each league, which composed of all league matches from year 2014 to 2018. The effectiveness of kSATRA with ACO in obtaining logical rule in football matches was tested based on root mean square error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE) and CPU time. Results acquired from the computer simulation showed the robustness of kSATRA in exhibiting the performance of the clubs.
Volume: 17
Issue: 2
Page: 1074-1083
Publish at: 2020-02-01

Internal model controller based PID with fractional filter design for a nonlinear process

10.11591/ijece.v10i1.pp243-254
Hemavathy P.R. , Mohamed Shuaib Y , S.K. Lakshmanaprabu
In this paper, an Internal model Controller (IMC) based PID with fractional filter for a first order plus time delay process is proposed. The structure of the controller has two parts, one is integer PID controller part cascaded with fractional filter. The proposed controller has two tuning factors λ, filter time constant and a, fractional order of the filter. In this work, the two factors are decided in order to obtain low Integral Time Absolute Error (ITAE). The effectiveness of the proposed controller is studied by considering a non linear (hopper tank) process. The experimental set up is fabricated in the laboratory and then data driven model is developed from the experimental data. The non linear process model is linearised using piecewise linearization and two linear regions are obtained. At each operating point, linear first order plus dead time model is obtained and the controller is designed for the same. To show the practical applicability, the proposed controller is implemented for the proposed experimental laboratory prototype.
Volume: 10
Issue: 1
Page: 243-254
Publish at: 2020-02-01

Enhancement of the direct power control applied to DFIG-WECS

10.11591/ijece.v10i1.pp35-46
Hala Alami Aroussi , Elmostafa Ziani , Manale Bouderbala , Badre Bossoufi
This work is dedicated to the study of an improved direct control of powers of the doubly fed induction generator (DFIG) incorporated in a wind energy conversion system 'WECS'. The control method adopts direct power control 'DPC' because of its various advantages like the ease of implementation which allows decoupled regulation for active and reactive powers, as well as a good performance at transient and steady state without PI regulators and rotating coordinate transformations. To do this, the modeling of the turbine and generator is performed. Therefore, the Maximum Power Point Tracking (MPPT) technology is implemented to extract optimal power at variable wind speed conditions. Subsequently, an explanation of the said command is spread out as well as the principle of adjusting the active and reactive power according to the desired speed. Then, the estimation method of these two control variables will be presented as well as the adopted switching table of the hysteresis controller model used based on the model of the multilevel inverters. Finally, the robustness of the developed system will be analyzed with validation in Matlab / Simulink environment to illustrate the performance of this command.
Volume: 10
Issue: 1
Page: 35-46
Publish at: 2020-02-01

Design and development of PWM switching for 5-level multiphase interleaved DC/DC boost converter using FPGA

10.11591/ijeecs.v17.i1.pp131-140
A. F. H. A. Gani , A. A. Bakar , A. Ponniran , M. Hussainar , M. A. N. Amran
The continuously increasing demand for control on electric power equipment has led to the rapid technological development in various applications such as renewable energy, electric drives, and communication. Pulse Width Modulation (PWM) switching is an important technique to control the output voltage. PWM signals can either be generated using digital controller or analog controller. Digital controllers are widely used to generate PWM signals due to their reliability in solving complex algorithms within short amount of time. Multiphase boost converter is capable to overcome high input current ripple, current stress and semiconductor losses in conventional boost converter. This paper proposes a PWM switching scheme for multiphase interleaved converter using Field Programmable Gate Array (FPGA). The proposed switching scheme uses PWM switching technique that is implemented by programming Altera DE2-70 board. The duty cycle can be easily adjusted using assigned switches on the Altera board. For validation, switching frequency was set to 100 kHz, and then switching signal was observed using oscilloscope.
Volume: 17
Issue: 1
Page: 131-140
Publish at: 2020-01-01

Smart insects repeller

10.11591/ijeecs.v17.i1.pp205-212
Suzi Seroja Sarnin , Nur Jumaatul Hidayati Binti Mohammad , Nani Fadzlina Naim , Norsuzila Ya’acob , Azlina Idris , Wan Norsyafizan Wan Mohamad , Mohd Nor Md Tan
One of the key issues for those involved in farming and greenhouse is the use of pesticides. In a recent headline, there has been an epidemic of insect infestation that has destroyed 211 hectares of rice plants. These concerns have led to the discussion of possible over-use of pesticides that are not just killing dangerous pests, but also other animals that help combat the pest. In order to overcome the problem, a research was conducted by introducing a smart insect killer.  In this developing project, Pyroelectric (PIR) sensor will be using as a motion detector towards insects. This sensor plays a role to transmit the signal for action in taking care of the plant. The IR sensors will install around the plant, so that it has good range to detect any motion. As a result, suitable chemical spray will trigger to repel these insects. A light emitting diode as an indicator of functional to the system.  "Smart Insect Repeller" will work when certain pests are detected and this will reduce the use of poisons and the quality of the crop will be preserved due to the use of minimal poisons.
Volume: 17
Issue: 1
Page: 205-212
Publish at: 2020-01-01

Performance simulation of broadband multimedia wireless networks simulation based on OPNET

10.11591/ijeecs.v17.i1.pp1-9
Sameer Abdul-Sattar Lafta , Aktham Hasan Ali , Marwah M. Kareem , Yasser A. Hussein , Adnan H. Ali
As the rapid growth of multimedia application over the Internet, it is essential to preserve the Quality of Service (QoS), which is certifying the guaranteed service through the Internet and representing the biggest challenges for the current IP based services. Multimedia traffic usage has been increased in relation to the streaming media such as video conferencing using OPNET, the performance can be simulated based on heavy and light scenarios for video conferencing including web traffic. The overall WLAN load data are obtained for such scenarios, also the performance of simulated overall Delay in the three scenario networks is measured.
Volume: 17
Issue: 1
Page: 1-9
Publish at: 2020-01-01

A multi-layer perceptron based improved thyroid disease prediction system

10.11591/ijeecs.v17.i1.pp524-532
Arvind Selwal , Ifrah Raoof
A challenging task for the medical science is to achieve the accurate diagnosis of diseases prior to its treatment. A pattern classifier is used for solving complex and non-separable computing problems in different fields like biochemical analysis, image processing and chemical analysis etc .The accuracy for thyroid diagnosis system may be improved by considering few additional attributes like heredity ,age, anti-bodies etc.  In this paper, a thyroid disease prediction system is developed using multilayer perceptron (MLP). The proposed system uses 7–11 attributes of individuals to classify them in normal, hyperthyroid and hypothyroid classes. The proposed model uses gradient descent backpropogation algorithm for training the multilayer perceptron using dataset of 120 subjects. The thyroid prediction system promises excellent overall accuracy of ~100% for 11 attributes. However, the system results in a lower accuracy of 66.7% using 11 attributes and 70% using 7 attributes with 30 subjects.
Volume: 17
Issue: 1
Page: 524-532
Publish at: 2020-01-01

Classification of EMG signal for multiple hand gestures based on neural network

10.11591/ijeecs.v17.i1.pp256-263
Mohd Azlan Abu , Syazwani Rosleesham , Mohd Zubir Suboh , Mohd Syazwan Md Yid , Zainudin Kornain , Nurul Fauzani Jamaluddin
This paper presents the classification of EMG signal for multiple hand gestures based on neural network. In this study, the Electromyography is used to measure the muscle cell’s electrical activities which is commonly represented in a function time. Every muscle has their own signals, which was produced in every movement. Surface electromyography (sEMG) is used as a non-invasive technique for acquiring the EMG signal. The development of sensors’ detection and measuring the EMG have been improved and have become more precise while maintaining a small size. In this paper, the main objective is to identify the hand gestures based on: (1) Cylindrical Grasp, (2) Supination (Twist Left), (3) Pronation (Twist Right), (4) Resting Hand and (5) Open Hand that are predefined by using Arduino IDE, CoolTerm software and Microsoft Excel before using artificial neural network for classifying purposes in MATLAB. Finally, the extraction of the EMG patterns for each movement went through features extraction of the signals which is used to train the classifier in MATLAB to classify signals in the neural network. The features extracted are using mean absolute value (MAV), median, waveform length (WL) and root mean square (RMS). The Artificial Neural Network (ANN) produced accuracy of 80% for training and testing for 10 hidden neurons layer.
Volume: 17
Issue: 1
Page: 256-263
Publish at: 2020-01-01

PAPR reduction in OFDM system for DVB-S2

10.11591/ijeecs.v17.i1.pp317-323
Zainab M Abid , Awatif A Jaffaar , Suha Q Hadi
A special form of multicarrier modulation is Orthogonal Frequency Division Multiplexing (OFDM) which is offer high spectral efficiency for high speed data transmission through multipath fading channels. Many advantages can be achieved by using OFDM in addition to spectral efficiency like its robustness against intersymbol interference and multipath effect. One of a major drawback of OFDM is high Peak-to-Average Power Ratio (PAPR) of the transmitted signal which leads to a distortion in the power amplifier and causes decreasing the efficiency of power amplifier. To reduce PAPR of OFDM signal many of promising solutions have been proposed and implemented. In this paper, a joint Low Density Parity Check code (LDPC), Discrete Cosine Transform (DCT) and μ-law companding is proposed to reduce PAPR of OFDM signal at transmitter. Comparison of these PAPR reduction techniques is done based on CCDF performance of the system.
Volume: 17
Issue: 1
Page: 317-323
Publish at: 2020-01-01
1 2 3
...
2097 2098
Show 1299 of 2098

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration