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

31,377 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

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

A high voltage direct current transmission system : natural and selective harmonic cancellation

10.11591/ijpeds.v10.i3.pp1410-1418
Aziza Benaboud , Alfred Rufer
This study focused on the special High Voltage Direct Current technology. The context is given by combining two original solutions; the first solution, using a natural harmonic cancellation, consists to connect in series two classical frequency inverters which are coupled to the grid through a specific transformer connection.  On the other hand, the second solution is achieved by using three, five or more level converters in square wave modulation, in order to eliminate some selective harmonics by optimizing a switching angle. The simulation and experimental results indicate that the proposed High Voltage Direct Current transmission systems offer high efficiency, unity power factor and better current and voltage quality with fewer harmonic.
Volume: 10
Issue: 3
Page: 1410-1418
Publish at: 2019-09-01

Comparison of convolutional neural network and bag of features for multi-font digit recognition

10.11591/ijeecs.v15.i3.pp1322-1328
Nasibah Husna Mohd Kadir , Sharifah Nur Syafiqah Mohd Nur Hidayah , Norasiah Mohammad , Zaidah Ibrahim
This paper evaluates the recognition performance of Convolutional Neural Network (CNN) and Bag of Features (BoF) for multiple font digit recognition. Font digit recognition is part of character recognition that is used to translate images from many document-input tasks such as handwritten, typewritten and printed text.  BoF is a popular machine learning method while CNN is a popular deep learning method.  Experiments were performed by applying BoF with Speeded-up Robust Feature (SURF) and Support Vector Machine (SVM) classifier and compared with CNN on Chars74K dataset. The recognition accuracy produced by BoF is just slightly lower than CNN where the accuracy of CNN is 0.96 while the accuracy of BoF is 0.94.
Volume: 15
Issue: 3
Page: 1322-1328
Publish at: 2019-09-01

Modeling of photovoltaic system with maximum power point tracking control by neural networks

10.11591/ijpeds.v10.i3.pp1575-1591
Farid Saadaoui , Khaled Mammar , Abdaldjabar Hazzab
This paper presented the study, development and implementation of the maximum power point of a photovoltaic energy generator adapted by elevator converter and controlled by a maximum power point command. In order to improve photovoltaic system performance and to force the photovoltaic generator to operate at its maximum power point, the idea of the context of this paper deals with the exploitation of the technique of the artificial intelligence mechanism (neural network) certainly based on the three parts of the photovoltaic system (photovoltaic  module inputs (temperature and  solar radiation), photovoltaic module and control (MPPT)) that have been adopted within a simulation time of 24 hours.In addition, to reach the optimal operating point regardless of variations in climatic conditions, the use of a neuron network based disturbance and observation algorithm (P&O) is put into service of the system given its reliability, its simplicity and view that at any time it can follow the desired maximum power.The entire system is implemented in the Matlab / Simulink environment where simulation results  obtained are very promising and have shown the effectiveness and speed of neural technology that still require a learning base so to improve the performance of photovoltaic systems and exploit them in energy production, as well as this technique has proved that these results are much better in terms (of its very great precision and speed of computation) than those of the controller based on the conventional MPPT method P&O.
Volume: 10
Issue: 3
Page: 1575-1591
Publish at: 2019-09-01

A new high performance variable step size perturb-and-observe MPPT algorithm for photovoltaic system

10.11591/ijpeds.v10.i3.pp1662-1674
Khadidja Saidi , Mountassar Maamoun , M’hamed Bounekhla
The optimization of energy in a photovoltaic conversion chain remains a topic of study. The maximum power point tracking (MPPT) is considered the most appropriate solution to ensure the extraction of the maximum power which a photovoltaic generator can provide. Perturb and observe (P&O) algorithm is the well-known MPPT tracker; it shows an important and decisive role in the development of photovoltaic (PV) systems. In This article we introduce a new improved adjustable step size P&O (imVS_PO) MPPT method.The performances of the new algorithm are compared to the conventional P&O MPPT techniques and to the existing adjustable step size P&O (VS_PO) MPPT algorithm. The results clearly show the efficiency of the improved algorithm which contributed to the increase of the tracking speed with negligible fluctuations when the MPP is reached, and especially in rapid variation of insolation.
Volume: 10
Issue: 3
Page: 1662-1674
Publish at: 2019-09-01

3.3V DC output at -16dBm sensitivity and 77% PCE rectifier for RF energy harvesting

10.11591/ijpeds.v10.i3.pp1398-1409
Astrie Nurasyeila Fifie Asli , Yan Chiew Wong
This paper presents a high voltage conversion at high sensitivity RF energy harvesting system for IoT applications. The harvesting system comprises bulk-to-source (BTMOS) differential-drive based rectifier to produce a high efficiency RF energy harvesting system. Low-pass upward impedance matching network is applied at the rectifier input to increase the sensitivity and output voltage. Dual-oxide-thickness transistors are used in the rectifier circuit to maintain the power efficiency at each stage of the rectifier. The system is designed using 0.18µm Silterra RF in deep n-well process technology and achieves 4.07V output at -16dBm sensitivity without the need of complex auxiliary control circuit and DC-DC charge-pump circuit. The system is targeted for urban environment.
Volume: 10
Issue: 3
Page: 1398-1409
Publish at: 2019-09-01

Improved reliability assessment of backup battery storage integrated with power supply system in a building

10.11591/ijpeds.v10.i3.pp1538-1546
Muhammad Murtadha Othman , Muhamad Amirul Naim Mohd Jamaluddin , Faisal Fauzi , Ismail Musirin , Mohammad Lutfi Othman
This paper presents the improved analysis of reliability for battery storage used in power system. The reliability assessment of this paper includes the evaluation of reliability of the system components, battery module and power electronic components. Battery storage is considered as one of energy storage and energy source that commonly used in power system. The evaluation of the reliability of power systems utilising with the storage batteries is performed by using the Markov chain process. The computation of the reliability is conducted by referring to the generated reliability block begins from power supply system. Every part of the system is evaluated regarding two specific states that are in normal or failure mode. By using the Markov method, the system unavailability and failure frequency can be computed.This paper presents the improved analysis of reliability for battery storage used in power system. The reliability assessment of this paper includes the evaluation of reliability of the system components, battery module and power electronic components. Battery storage is considered as one of energy storage and energy source that commonly used in power system. The evaluation of the reliability of power systems utilising with the storage batteries is performed by using the Markov chain process. The computation of the reliability is conducted by referring to the generated reliability block begins from power supply system. Every part of the system is evaluated regarding two specific states that are in normal or failure mode. By using the Markov method, the system unavailability and failure frequency can be computed.
Volume: 10
Issue: 3
Page: 1538-1546
Publish at: 2019-09-01

Autonomous multi-function floor cleaning robot with zig zag algorithm

10.11591/ijeecs.v15.i3.pp1653-1661
J. Lee , A. S. Ab Ghafar , N. Mohd Nordin , F. A. Saparudin , N. Katiran
In this present era, people live a very busy life. People in cities have irregular and long working times. In such a situation a person will always find ways of saving time. Household chores are the ones that are most dreaded upon and cleaning a home tops the list. An autonomous floor cleaning robot is developed to help people to complete their cleaning task. This paper presents the development of an autonomous floor cleaning robot by using Arduino as a platform for processing and controlling the input and output. Autonomous vacuum cleaner robot is designed to make cleaning process become easier compared to using manual vacuum. The idea is basically by having the sensor to detect any object and send the input to Arduino that will control the robot movement. This robot can perform vacuum and wiping task with water spray function. It is also programmed to move in zigzag movement to ensure that the robot can clean all the corner of the house and avoid obstacle autonomously. This robot consists of three ultrasonic sensors, one infra-red (IR) sensor and two brushes in front of it to ensure effective cleaning. It is designed to run on flat surface. This autonomous multi-function floor cleaning robot has lower cost compared to existing vacuum robot on the shelves and is suitable for home and small premise usage.
Volume: 15
Issue: 3
Page: 1653-1661
Publish at: 2019-09-01

Maximum power point optimization for a grid synchronized PV system considering partial shaded condition using multi-objective function

10.11591/ijpeds.v10.i3.pp1547-1554
Sathyanarayana P , Rajkiran Ballal , Girish Kumar , Shaileshwari S
Energy demand taking a bigger leap day by day, Renewable energy gets the  most leading importance in catering the purpose. Solar being the abundantly available renewable energy resource solar panels are key components in harnessing solar energy. Solar energy is the most dependable and cheap energy in renewable sector. But harnessing solar energy with partial shading makes it difficult for simple tracking algorithm because of multiple power peak points. Settling time of DC link voltage during the dynamics in the load and the irradiation also plays a major role in power delivered to the grid . Highly dynamic situation aware processors have been in the verge for many applications where large amount of online processing is a need like the smart grid, which needs a faster online reacting time. This paper deals with such an online reacting Maximum Power Point Optimization (MPPO) on a PV system with Partial shaded condition (PSC). The MPPO uses the recent non-parametric optimization techniques like Particle Swarm Optimization (PSO) for maximizing the power delivered from the solar panel. This optimization is achieved by populating the duty cycle and Kp and Ki parameters of PI controller given to the DC-DC converter connected to the PV arrays for the stable supply to the grid. While applying the maximization algorithm for the solar power output from the PV arrays the PSC conditions are considered in order to make the control technique more robust. This paper deals with minimization of DC link voltage settling time and maximization of power in multi-objective,. MATLAB based simulation is carried and the comparative inference is produced in this paper. The simulation is developed for the 2.5kW PV array with the proposed method. The simulation carried out had performed better with the proposed method than the single objective method.Satisfactory results were observed both in the simulation of the proposed algorithm.
Volume: 10
Issue: 3
Page: 1547-1554
Publish at: 2019-09-01

Multilevel inverter with MPWM-LFT switching strategy for voltage THD minimization

10.11591/ijpeds.v10.i3.pp1461-1468
M. H. Yatim , A. Ponniran , A. N. Kasiran
This paper presents a proposed modified pulse width modulation – low frequency triangular (MPWM-LFT) switching strategy for minimization of voltage THD with implementation of asymmetric multilevel inverter (AMLI) topology on the reduced number of switching devices (RNSD) circuit structure. Principally, MPWM-LFT able to produce optimum angle of the output voltage level in order to minimize total harmonic distortion (THD). In this study, 5-level reduced number of switching devices circuit structure is selected as a circuit configuration for asymmetric (7-level structure) multilevel inverter. For switching strategy, MPWM used low switching frequency in producing signal and needs higher output voltage levels to achieve low total harmonic distortion. In contrast, sinusoidal pulse width modulation used high switching frequency in order to minimize total harmonic distortion. By optimizing angle at the output voltage using MPWM-LFT switching strategy, the voltage THD is lower as compared to MPWM and SPWM switching strategies. MPWM-LFT switching strategy obtains 11.6% of voltage THD for the 7-level asymmetric topology as compared to MPWM and SPWM switching strategies with the voltage THD are 21.5% and 17.5% respectively from the experimental works.
Volume: 10
Issue: 3
Page: 1461-1468
Publish at: 2019-09-01

Robust stability power in the transmission line with the use of a UPFC system and neural controllers based adaptive control

10.11591/ijpeds.v10.i3.pp1281-1296
Bouanane Abdelkrim , Yahiaoui Merzoug
The main purpose of this paper is to design a regulator which enables a power system to track reference signals precisely and to be robust in the presence of uncertainty of system parameters and disturbances. The performances of the proposed controllers (NEWELM and NIMC) are based neural adaptive control and simulated on a two-bus test system and compared with a conventional PI controller with decoupling (PI-D). The studies are performed based on well known software package MATLAB/Simulink tool box. Flexible Alternating Current Transmission System devices (FACTS) are power electronic components. Their fast response offers potential benefits for power system stability enhancement and allows utilities to operate their transmission systems even closer to their physical limitations, more efficiently, with improved reliability, greater stability and security than traditional mechanical switching technology. The most used component of FACTS systems is the Unified Power Flow Controller (UPFC). According to high importance of power flow control in transmission lines, new controllers are designed based on the Elman Recurrent Neural Network (NEWELM) and Neural Inverse Model Control (NIMC) with adaptive control.
Volume: 10
Issue: 3
Page: 1281-1296
Publish at: 2019-09-01

Pulse train stability in passively Mode-locked Erbium-doped fiber laser with a nonlinear polarization rotation

10.11591/ijeecs.v15.i3.pp1212-1216
Nur Ameelia Abdul Kadir , Nurul Alina Afifi Norizan , Azura Hamzah
A nonlinear polarization rotation technique-based mode-locked erbium-doped fiber laser has been experimentally demonstrated using a 0.75 m long highly concentrated erbium-doped fiber as the gain medium. With unintentional polarization dependent loss induced by twisting single-mode fiber in an intracavity polarization controller, the optical output of the laser shifts from continuous wavelength to modelocked soliton pulse. A stable and cleaner pulse with a repetition rate of 15.32 MHz laser wavelengths and a pulse energy of 0.496 nJ with optical signal-to noise ratio of more than 33 dB are successfully obtained using a simple ring cavity.
Volume: 15
Issue: 3
Page: 1212-1216
Publish at: 2019-09-01

Single-bit modulator for wireless power transfer system

10.11591/ijpeds.v10.i3.pp1270-1280
Dhafer Almakhles , Akshya Swain , Umashankar Subramaniam
This paper proposes a single-bit ADC system based Proportional and Integral (PI) controller to maintain a desired level of power transfer efficiency in Capacitive Power Transfer (CPT) systems. In this paper, a simple single-bit ADC system i.e., Single-Bit Modulator (SBM) is considered as an alternative to the commonly used multi-bit ADC systems. Unique features of employing SBM are 1) its ability to convert analog signals into single-bit signals and 2) its easy integrability in digital chips with linear variable differential transformers (LVDTs) such as FPGAs. A SBM based PI (SBM-PI) controller is designed to judicially interface with the single-bit output of SBM. The proposed (SBM-PI) controller guarantees less hardware resources, latency and regulates the output voltage to provide the desired power transfer efficiency. The behavior of SBM-PI controller is compared to that of a conventional multi-bit controller, with the results of both controllers being identical. The effectiveness of the proposed controller with SBM is further demonstrated using the experimental prototype of CPT by implementing a SBM-PI controller using $16$ MHz ATmega8 microcontroller. The experimental results from a laboratory prototype illustrate that SBM-PI controller successfully regulates the output voltage of CPT to control the power flow.
Volume: 10
Issue: 3
Page: 1270-1280
Publish at: 2019-09-01

Novel DTC induction machine drive improvement using controlled rectifier for DC voltage tuning

10.11591/ijpeds.v10.i3.pp1223-1228
Nour Mohamed , Tedjini Hamza , Gasbaoui Brahim
The application of the direct torque control strategy for induction machine drives is mainly characterized by torque and flux distortions caused by voltage vector limitation. The goal of this paper is to perform the conventional DTC induction machine drives and reduce ripples of both flux and torque response. The proposed contribution is based on the control of the DC output side of the rectifier feeding the voltage source inverter by means of PI controller in order to adapt the voltage vector used in typical DTC switching table. Mathematic models are built using MATLAB Simulink and programming environment; the simulation results show the difference between the proposed method and classical DTC.
Volume: 10
Issue: 3
Page: 1223-1228
Publish at: 2019-09-01
1 2 3
...
2091 2092
Show 1347 of 2092

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