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31,377 Article Results

An efficient method to improve the clustering performance using hybrid robust principal component analysis-spectral biclustering in rainfall patterns identification

10.11591/ijai.v8.i3.pp237-243
Shazlyn Milleana Shaharudin , Shuhaida Ismail , Siti Mariana Che Mat Nor , Norhaiza Ahmad
In this study, hybrid RPCA-spectral biclustering model is proposed in identifying the Peninsular Malaysia rainfall pattern. This model is a combination between Robust Principal Component Analysis (RPCA) and biclustering in order to overcome the skewness problem that existed in the Peninsular Malaysia rainfall data. The ability of Robust PCA is more resilient to outlier given that it assesses every observation and downweights the ones which deviate from the data center compared to classical PCA. Meanwhile, two way-clustering able to simultaneously cluster along two variables and exhibit a high correlation compared to one-way cluster analysis. The experimental results showed that the best cumulative percentage of variation in between 65%-70% for both Robust and classical PCA. Meanwhile, the number of clusters has improved from six disjointed cluster in Robust PCA-kMeans to eight disjointed cluster for the proposed model. Further analysis shows that the proposed model has smaller variation with the values of 0.0034 compared to 0.030 in Robust PCAkMeans model. Evident from this analysis, it is proven that the proposed RPCA-spectral biclustering model is predominantly acclimatized to the identifying rainfall patterns in Peninsular Malaysia due to the small variation of the clustering result.
Volume: 8
Issue: 3
Page: 237-243
Publish at: 2019-09-01

Experimental Verification of Three phase quasi Switched Boost Inverter with an Improved PWM Control

10.11591/ijpeds.v10.i3.pp1500-1509
Sriramalakshmi Palanidoss , Sreedevi V.T.
In this paper, an experimental investigation of a three phase quasi Switched Boost Inverter (qSBI) topology is proposed and analysed with an improved Pulse Width Modulation strategy. The qSBI is capable of providing both boost and inversion actions in a single stage. The improved PWM control technique can provide a higher boost with the reduced duty ratio. The theoretical analysis presented in this work is validated using an experimental set up of 100W qSBI topology and hardware results are shown for verification. The improved PWM strategy is implemented and firing pulses are generated in FPGA SPARTAN 3E kit. With the duty ratio of 0.05, the peak ac load voltage of 80 V is obtained. The performance of three phase qSBI is analysed with both conventional PWM strategy and improved PWM strategy. The observations are presentated in detail.
Volume: 10
Issue: 3
Page: 1500-1509
Publish at: 2019-09-01

Design and analysis of pseudo hadamard transformation and non-chaotic substitution based image encryption scheme

10.11591/ijeecs.v15.i3.pp1297-1304
Prajwalasimha S N , Kavya S R , Tanaaz Zeba Ahmed
In this paper, Pseudo Hadamard Transformation (PHT) and non-chaotic substitution based image encryption scheme has been proposed. Images are characterized by intrinsic properties such as, strong redundancy and correlation between the adjacent pixels, hence more vulnerable to cyber-attacks. In the proposed technique, the redundancy and correlation have been effectively reduced by pixel position transformation using PHT and pixel value variation using non chaotic substitution, providing two stage security in encryption for images. Fifteen standard test images are considered for experimental analysis. Better average Number of Pixel Changing Rate (NPCR) and Unified Average pixel Changing Intensity (UACI) are obtained for a set of standard test images compared to more popular existing algorithms.
Volume: 15
Issue: 3
Page: 1297-1304
Publish at: 2019-09-01

Broken rotor bar fault diagnostic for DTC Fed induction motor using stator instantaneous complex apparent power envelope signature analysis

10.11591/ijpeds.v10.i3.pp1187-1196
Lachtar Salah , Ghoggal Adel , Koussa Khaled , Bouraiou Ahmed , Attoui Issam
The broken rotor bar is an unexpected fault and a common cause of induction motor failures that threaten the structural integrity of electric machines. In this paper, a new approach to a broken rotor bar diagnosis, without slip estimation, based on the envelope of the stator instantaneous complex apparent power (SICAP) is proposed. The envelope is obtained from the SICAP modulation and then transferred to a computer for monitoring the characteristic frequency and its amplitude using the Fast Fourier Transform (FFT). For this purpose, the winding function approach (WFA) is used to simulate the broken rotor bar occurrence in a squirrel cage induction motor (SCIM) fed on direct torque control (DTC). The obtained simulation results confirm the interest and efficiency of the proposed technique. Even when the induction motor is operating at the no-load level condition, the proposed method is also efficient to detect the broken rotor bar fault at low slip.
Volume: 10
Issue: 3
Page: 1187-1196
Publish at: 2019-09-01

Hybrid optical CDMA and DWDM system implemented under the influence of Non-linear effects

10.11591/ijeecs.v15.i3.pp1485-1490
Naif Alsowaidi , Tawfig Eltaif , Mohd Ridzuan Mokhtar
A hybrid optical CDMA-DWDM system accommodating 12 optical CDMA users carried by 5 DWDM wavelengths at a data rate of 60Gb/s/wavelength with channel spacing of 0.4nm is implemented under the effect of four-wave mixing (FWM). It was found that the FWM effect could be minimized by the use of CDMA technology, where the energy of each bit is spread over the optical sequence code. Over a distance of 105.075km, significant performance of all optical CDMA users in terms of the BER is achieved. The results reveal that the inter-symbol interference (ISI) can be mitigated when the interval of optical signature sequence code is squeezed into 25% of the bit duration. 
Volume: 15
Issue: 3
Page: 1485-1490
Publish at: 2019-09-01

A multiple mitosis genetic algorithm

10.11591/ijai.v8.i3.pp252-258
K. Kamil , K. H Chong , H. Hashim , S. A. Shaaya
Genetic algorithm is a well-known metaheuristic method to solve optimization problem mimic the natural process of cell reproduction. Having great advantages on solving optimization problem makes this method popular among researchers to improve the performance of simple Genetic Algorithm and apply it in many areas. However, Genetic Algorithm has its own weakness of less diversity which cause premature convergence where the potential answer trapped in its local optimum. This paper proposed a method Multiple Mitosis Genetic Algorithm to improve the performance of simple Genetic Algorithm to promote high diversity of high-quality individuals by having 3 different steps which are set multiplying factor before the crossover process, conduct multiple mitosis crossover and introduce mini loop in each generation. Results shows that the percentage of great quality individuals improve until 90 percent of total population to find the global optimum.
Volume: 8
Issue: 3
Page: 252-258
Publish at: 2019-09-01

Reduced-order observer for real-time implementation speed sensorless control of induction using RT-LAB software

10.11591/ijpeds.v10.i3.pp1148-1156
Mansour Bechar , Abdeldjebar Hazzab , Mohamed Habbab , Pierre Sicard
In this paper, Reduced-Order Observer For Real-Time Implementation Speed Sensorless Control of Induction Using RT-LAB Softwareis presented. Speed estimation is performed through a reduced-order observer. The stability of the proposed observer is proved based on Lyapunov’s theorem. The model is initially built offline using Matlab/Simulink and implemented in real-time environment using RT-LAB package and an OP5600 digital simulator. RT-LAB configuration has two main subsystems master and console subsystems. These two subsystems were coordinated to achieve the real-time simulation. In order to verify the feasibility and effectiveness of proposed method, experimental results are presented over a wide speed range, including zero speed.
Volume: 10
Issue: 3
Page: 1148-1156
Publish at: 2019-09-01

Three-phase photovoltaic grid inverter system design based on PIC24FJ256GB110 for distributed generation

10.11591/ijpeds.v10.i3.pp1215-1222
Ihsan Jabbar Hasan , Nahla Abdul Jalil Salih , Nadhir Ibrahim Abdulkhaleq
In recent years, the demand for energy generated by photovoltaics has increased because of the cheapness of this energy, especially in the Middle East. This study focuses on the design and implementation of a three-phase photovoltaic inverter system for distribution of generator applications. The three-phase inverter used in this study was designed using GWM 100-01X1 as a three-phase full bridge MOSFET package. The MOSFET full bridge of the three-phase inverter is driven using IR2104 gate driver IC, and the Hall sensors of the voltage and current are used to measure the AC and DC voltage and current. The SPWM signal is generated using a PIC24FJ256GB110 as a microcontroller and interfaced to the full bridge package. Simulation and experimental results are presented to validate the three-phase inverter design.
Volume: 10
Issue: 3
Page: 1215-1222
Publish at: 2019-09-01

Design of solar photovoltaic pressurized drip irrigation pumping system at al-salman district in samawa governorate

10.11591/ijpeds.v10.i3.pp1628-1637
Raghad Ali Mejeed , Samah Shyaa Oudah , Rasha Yasen Abed
The seasonal climate changes have direct effects on determination of crop water requirement, irrigation scheduling and the potential of solar energy generation to operate the pumping system for watering crops. This research paper studied the technical evaluation of solar pumping and pressurized drip irrigation systems to investigate the recommended water required for suggested tomatoes crop in area of (one hectare) at AL-Salman district using measured climatic data from AL-Salman Agro-meteorological weather station for a period (2013-2017). The maximum average monthly of solar radiation was 7.6 kWh/m2 at June in all the years of recording data, while the minimum average monthly value was 3.37kWh/m2 at December where the sun at lowest point across the sky. The annual average hours of peak sun that corresponds to the operation time of the pumping system at maximum water consumption was calculated at eight months from March to October with a value of 7.2 hours/day, while it was 5.2 hours/day during the other four months (January, February, November and December). The Solar pumping sizing based on H-Q performance curve of a maximum flow rate of 64.45 m3/h and pump capacity of 16.79 kW with compounds motor pump efficiency of 61.2%. The total water production was 230000 m³/per year which indicates compatible overall system design and adequate to irrigate more planting land with same or other crop types.
Volume: 10
Issue: 3
Page: 1628-1637
Publish at: 2019-09-01

Design and digital implementation of power control strategy for grid connected photovoltaic inverter

10.11591/ijpeds.v10.i3.pp1564-1574
Linda Hassaine , Mohamed Rida Bengourina
This paper presents the optimization design and a detailed implementation in FPGA (Field-Programmable Gate Array) of a power control strategy. This strategy is based on the phase shift angle of the inverter output voltage with respect to the grid voltage and DSPWM (Digital Sinusoidal Pulse Width Modulation) patterns “Phase shift angle-DSPWM” for an inverter for photovoltaic system connected to the grid. The proposed control can synchronize a sinusoidal inverter output current with a grid voltage and control the power injected into the grid. Detailed development of a digital controller with lower hardware and computation requirement is proposed. Description on the digital implementation of the A/D converter, the PI compensator, the phase shift and the DPWM, is provided. This digital control exhibit simplicity, reduction of the memory requirements and power calculation for the control. The functional structure of this system with digital control has been validated with simulations and experimental results.
Volume: 10
Issue: 3
Page: 1564-1574
Publish at: 2019-09-01

Automated brain tumor segmentation and classification for MRI analysis system

10.11591/ijeecs.v15.i3.pp1337-1344
Norhashimah Mohd Saad , Muhamad Faizal Yaakub , Abdul Rahim Abdullah , Nor Shahirah Mohd Noor , Nur Azmina Zainal , Wira Hidayat Mohd Saad
This paper proposed a new analysis technique of brain tumor segmentation and classification for Fluid Attenuated Inversion Recovery (FLAIR) Magnetic Resonance Images (MRI). 25 FLAIR MRI images were collected from online database of Multimodal Brain Tumor Segmentation Challenge 2015 (BRaTS’15).  The analysis comprised four stages which are preprocessing, segmentation, feature extraction and classification. Fuzzy C-Means (FCM) was proposed for brain tumor segmentation. Mean, median, mode, standard deviation, area and perimeter were calculated and utilized as the features to be fed into a rule-based classifier. The segmentation performances were assessed based on Jaccard, Dice, False Positive and False Negative Rates (FPR and FNR). The results indicate that FCM offered high similarity indices which were 0.74 and 0.83 for Jaccard and Dice indices, respectively. The technique can possibly provide high accuracy and has the potential to detect and classify brain tumor from FLAIR MRI database.
Volume: 15
Issue: 3
Page: 1337-1344
Publish at: 2019-09-01

Improved design of a DC-DC converter in residential solar photovoltaic system

10.11591/ijpeds.v10.i3.pp1476-1482
Mantas Darameičikas , Firdaus Muhammad Sukki , Siti Hawa Abu Bakar , Nazmi Sellami , Nurul Aini Bani , Mohd Nabil Muhtazaruddin , Abdullahi Abubakar Mas’ud , Jorge Alfredo Ardila Rey
With growing demand in renewable energy, solar photovoltaic (PV) technology is becoming more popular. A number of research has been carried out to increase the efficiency of the PV system. One of them is improving the Switch Mode Power Supplies (SMPS) performance to ensure maximum solar energy extraction. This paper looks at buck type SMPS suitability for use in solar PV installed in residential houses. The main issues that affect the response from the output are identified. The work will utilise the LT SPICE software to carry out the simulation. The primary objective of the study is to design an improved converter controller which is more robust and is able to maintain constant output. The emphasis is on good efficiency, stability and low output voltage ripple. This could be achieved by using the current mode control (CMC) techniques – an alternative design to the voltage mode control technique (VMC). Results obtained via simulations reveal strong evidence of CMC superiority over the VMC.
Volume: 10
Issue: 3
Page: 1476-1482
Publish at: 2019-09-01

Intelligent risk management framework

10.11591/ijai.v8.i3.pp278-285
Wissam Abbass , Zineb Bakraouy , Amine Baina , Mostafa Bellafkih
The Internet of Things (IoT) is rapidly increasing and enhancing today’s world by introducing a large set of interconnected devices. Several beneficial services are produced by these devices as for area monitoring and process control. However, IoT security is still a major problem. In fact, IoT’ security beggings largely whith an effective Risk Management process. However, the essense of this process is to acquire a risk inventory cibling the IoT devices. Nevertheless, it is quite difficult to obtaining this latter which significantly adds complication issues to the Risk Management. Without the ability of holisticly identify the IoT critical devices, inaccurate Risk Management is achieved which leads unfortunately to novel risk exposures. Traditional Riskbased approaches fails drastically at apprending IoT’ potential attacks. The dynamic structure, the heteregouns nature of devices, the various security objectives and infrastructure pervasiveness are key factors impacting the overall perfomance. Thus, a holistic Risk Management witihin the IoT is indispensable. Accordingly, we propose an intelligent Risk Management framework using Mobile Agents in order to deliver preventive and responsive assessment.
Volume: 8
Issue: 3
Page: 278-285
Publish at: 2019-09-01

Optimized neuro-PSO-based software maintainability prediction using relief features selection method

10.11591/ijeecs.v15.i3.pp1517-1526
N. Baskar , C Chandrasekar
The recent development in software engineering reveals the importance of software maintenance during the time of software development that is becoming more important in software development environment and software metrics, which are very essential for measuring the maintainability of software, software complexity, estimating size, quality and project efforts. There are various approaches through which one can estimate the software cost and predict on various kinds of deliverable items. This paper aims at developing an optimized   Neuro-PSO-based software maintainability prediction model by applying the dimensionality reduction using relief feature selection method for identifying the optimal feature subsets in order to increase the accuracy and reduce the time complexity of the prediction model. The simulation result proves the performance of the proposed model which will be more beneficial for the software developers in predicting the maintenance of the software in advance.
Volume: 15
Issue: 3
Page: 1517-1526
Publish at: 2019-09-01

Conceptual study on Grid-to-Vehicle (G2V) wireless power transfer using single-phase matrix converter

10.11591/ijpeds.v10.i3.pp1382-1388
Muhammad Qusyairi Iqbal Mohd Zamani , Rahimi Baharom , Dalina Johari
This paper presents the conceptual study on grid-to-electric vehicle (G2V) wireless power transfer (WPT) using Single Phase Matrix Converter (SPMC). In this work, the SPMC is used as a direct AC to AC converter to convert the input supply voltage at 50 Hz frequency to the output of 20 kHz to meet the WPT switching frequency operation of the transmitter and receiver coils. The high frequency AC voltage of the receiver coil is then rectified to a DC form by using SPMC. Through the proposed system, the battery of an electric car can be charged wirelessly, thus removing the annoying wires of the conventional electric vehicle charging system. The reduction in size of the charging system, power losses and optimum efficiency are among the advantages of the proposed system. MATLAB/Simulink (MLS) has been used to simulate the proposed model. Selected simulation result are presented to verify the proposed work.
Volume: 10
Issue: 3
Page: 1382-1388
Publish at: 2019-09-01
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