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29,922 Article Results

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

Implicit force control approach for Safe physical Robot-to-Human object handover

10.11591/ijeecs.v17.i2.pp615-628
Paramin Neranon
This research focuses on the development of the conceptual frameworks of human-human interaction applied for a robotic behaviour-based approach for safe physical human-robot interaction. The control has been constructed based on understanding the dynamic and kinematic behavioural characteristics of how two humans pass an object to each other. This has enabled a KR-16-KUKA robot to naturally interact with a human so as to facilitate the dexterous transfer of an object in an effective manner. Implicit force control based on Proportional Integral and Fuzzy Logic Control which allows the robot end effector’s trajectory to be moderated based on the applied force in real-time was adopted. The experimental results have confirmed that the quantitative performance of the force-controlled robot is close to that of the human and can be considered acceptable for human-robot interaction. Furthermore, the control based Fuzzy Logic Control was shown to be slightly superior performance compared to Proportional Integral control.
Volume: 17
Issue: 2
Page: 615-628
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

Proposed agorithm for regression-based prediction with bulk noise

10.11591/ijeecs.v17.i1.pp543-550
Chanintorn Jittawiriyanukoon
The noise has incited an original data due to a network with an inferior SNR. In case of the bulk noise, the insightful content within the data is substantially squeezed.  A cost-effective method will challenge to quarantine the insights, so that information can be utilized more resourcefully.  To achieve this aim, it is essential to iron the bulk noise content out, and then calculate the analytics of the clean data. As noise is bulk so some statistical methodologies such as averaging or randomizing are employed. A prediction using the regression-based model with bulk noise for the experiment in practice is introduced. The decomposition approach to separate the insights is exploited. The proposed algorithm achieves a (local) solution at each computing step and selects the best solution in view of global impacts. The correlation coefficient, average error, absolute error and mean squared error are used to constitute the prediction. Results from MOA simulation will be compared to actual data in the succeeding time. The prediction with bulk noise using the proposed algorithm outperforms.
Volume: 17
Issue: 1
Page: 543-550
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

BCH codes for 5G wireless communication systems over multipath fading channel

10.11591/ijeecs.v17.i1.pp310-316
Ghasan Ali Hussain , Lukman Audah
Due to its large peak to average power ratio (PAPR) and high out of band emission (OOBE), OFDM doesn't meet the requirements of 5G services. Additionally, it supports only one type of waveform parameters in entire bandwidth. In contrast, f-OFDM is dividing the system's bandwidth into a number of subbands to support several waveform parameters based on various service scenarios. So, Filtered-OFDM (f-OFDM) is considered as a modern enabler of the flexible waveform to overcome the OFDM drawbacks while remaining its advantages as well as, to encounter the new challenges that faced 5G. Nonetheless, there is a trade-off among OOBE, PAPR and SNR performance. Meanwhile, channel coding technology is one of the most important issue in physical layer which is playing an essential role in order to achieve the reliability and latency. So, BCH code has been suggested in this paper for f-OFDM system to achieve the reliability of transmission information and thus improving BER performance over multipath fading channel. Whilst, BCH-LTE system is introduced as a baseline in this paper that using for comparison purpose with proposed system. Simulation results showed that the proposed BCH-f-OFDM system was significantly better than BCH-LTE system in terms of decreasing OOBE and achieving improving in BER performance. Although, PAPR levels was stilling high in proposed system due to the trade-off among OOBE, PAPR and SNR performance. However, the proposed system is considered a promising candidate to meet the requirements of 5G services because of its ability to solve two important issues in between three trade-offs'.
Volume: 17
Issue: 1
Page: 310-316
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

Fault isolation technique for decentralized survivable communication network systems via regions and paths

10.11591/ijeecs.v17.i1.pp533-542
Nethravathi B , Kamalesh V N
The rapid continuous growth of communication networks in size, complexity and dependencies, makes them extremely challenging to maintain the survivability of the complete large network.  The complexity may be due to advance voice and video services like IP TVs, IP telephony, video streaming which demands high reliability and survivability. Network management has become a great challenge as Faults are expected only in these complex networks. Once a failure is detected, the next step in the diagnosis is fault isolation which locates the source of that failure. The necessitate of decentralized diagnosis is justified by various applications, like spacecrafts.  This article presents model based fault isolation technique using a graph theoretical concepts, regions and paths for decentralized communication networks.
Volume: 17
Issue: 1
Page: 533-542
Publish at: 2020-01-01

{Cloud, IoT}-powered smart weather station for microclimate monitoring

10.11591/ijeecs.v17.i1.pp508-515
Mohamed Fazil Mohamed Firdhous , B H Sudantha
Microclimate monitoring is important in many practical situations involving agriculture, archaeology and other environments. Microclimate is defined as the environmental conditions that differs from that of surrounding areas. In certain situations, these different conditions are artificially generated for creating a conducive environment for achieving better results. Environments such as greenhouses and climate controlled beehives require to maintain their environments within close variations for optimum results. Similarly archaeological sites including show caves, frescos and parks get disturbed easily by the changes in their immediate environments. Hence monitoring and managing these environments is a must for the proper maintenance of them. In this paper, the authors present an IoT enabled microclimate monitoring weather station that can be installed anywhere and monitor the required parameters from remotely. The modular design enables the station to be easily modified to suit any environment. The weather station collects and transmit data at fixed intervals to the cloud powered processing system over the mobile communication network . The sensors have been calibrated using the standard calibration methods using conventional devices as references. The results obtained from the prototype shows that the weather station works satisfactorily reading the real environment conditions.
Volume: 17
Issue: 1
Page: 508-515
Publish at: 2020-01-01
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