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28,188 Article Results

Dynamic Modelling of Aerobic Granular Sludge Artificial Neural Networks

10.11591/ijece.v7i3.pp1568-1573
Nurazizah Mahmod , Norhaliza Abdul Wahab
Aerobic Granular Sludge (AGS) technology is a promising development in the field of aerobic wastewater treatment system. Aerobic granulation usually happened in sequencing batch reactors (SBRs) system. Most available models for the system are structurally complex with the nonlinearity and uncertainty of the system makes it hard to predict. A reliable model of AGS is essential in order to provide a tool for predicting its performance. This paper proposes a dynamic neural network approach to predict the dynamic behavior of aerobic granular sludge SBRs. The developed model will be applied to predict the performance of AGS in terms of the removal of Chemical Oxygen Demand (COD). The simulation uses the experimental data obtained from the sequencing batch reactor under three different conditions of temperature (30˚C, 40˚C and 50˚C). The overall results indicated that the dynamic of aerobic granular sludge SBR can be successfully estimated using dynamic neural network model, particularly at high temperature.
Volume: 7
Issue: 3
Page: 1568-1573
Publish at: 2017-06-01

Parallel Processing Implementation on Weather Monitoring System for Agriculture

10.11591/ijeecs.v6.i3.pp682-687
Dwi Susanto , Kudang Boro Seminar , Heru Sukoco , Liyantono Liyantono
Weather monitoring and forecasting are very important in agricultural sectors. There are several data need to be collected in real-time to support weather monitoring and forecasting systems, such as temperature, humidity, air pressure, wind speed, wind direction, and rainfall. The purpose of this research to develop a real-time weather monitoring system using a parallel computation approach and analyze the computational performance (i.e., speed up and efficiency) using the ARIMA model. The developed system wireless has been implemented on sensor networks (WSN) platform using Arduino and Raspberry Pi devices and web-based platform for weather visualization and monitoring. The experimental data used in our research work is a set of weather data acquired and collected from January until March 2017 in Bogor area. The result of this research is that the speed up of the using eight processors computation three times faster than using a single processor, with the efficiency of 50%.
Volume: 6
Issue: 3
Page: 682-687
Publish at: 2017-06-01

FOC of SRM using More Efficient DC-DC Converter Topology

10.11591/ijpeds.v8.i2.pp534-547
Emad S. Abdel-Aliem
Numerous studies had been made to improve the switched reluctance motor operation depend on the modification of the machine design, proposing the converter designs and/or applying a suitable control method. This paper introduces the field orientation control method for that motor using a simple and very efficient DC-DC converter topology. This control method is presented by two techniques; first technique is the advance of the turn-on switching angle and the other technique is the retard/delay of the turn-off switching angle. Instantaneous and average motor characteristics are obtained using Matlab/Simulink software package. Comparison between the simulation results presented using two converter types. A precise speed and torque control are obtained. The average total torque per current is maximized.
Volume: 8
Issue: 2
Page: 534-547
Publish at: 2017-06-01

Periodic Perturbation Method for Controlling Chaos for a Positive Output DC-DC Luo Converter

10.11591/ijpeds.v8.i2.pp775-784
P. Balamurugan , A. Kavitha , P. Sanjeevikumar , J.L. Febin Daya , Tole Sutikno
A simple, non-feedback method of controlling chaos is implemented for a DC-DC converter. The weak periodic perturbation (WPP) is the control technique applied to stabilize an unstable orbit in a current-mode controlled Positive Output Luo (POL) DC-DC converter operating in a chaotic regime. With WPP, the operation of the converter is limited to stable period-1 orbit that exists in the original chaotic attractor. The proposed control strategy is implemented using simulations and the results are verified with hardware setup. The experimental results of the converter with WPP control are presented which shows the effectiveness of the control strategy.
Volume: 8
Issue: 2
Page: 775-784
Publish at: 2017-06-01

Improvement on Alcohol Breath-Analyzer Ethanol Biosensor based on Roselle-Chitosan Blend

10.11591/ijece.v7i3.pp1154-1160
Ahmed M. S. Eljali , Irwana Nainggolan , Shahrir Hashim , Tulus Ikhsan Nasution
This paper presents a study on designing of a breath-analyzer ethanol biosensor through vaporization technology. A roselle extract and chitosan smart gel were used to fabricate the bio-sensing material. Sol-gel electrochemical deposition method was used to coat a thin film of the sensing material blend on patterned golden surface printed circuit board. Differentiation, response time and repeatability properties were studied by exposing 100ppm, 50ppm and 25ppm of ethanol vapor to the breath-analyzer. The accuracy of the breath-analyzer was tested by using I-V electrical testing. The analyzed data demonstrated that the breath-analyzer ethanol biosensor is capable of identifying the concentration of ethanol vapor at room temperature successfully, which can be used as analyzer of alcohol concentration when the sensor exposed to the exhale breath. The roselle-chitosan film sensors have shown the characteristic of a reliable sensor i.e. good sensitivity, selective, repeatable, able to recover and stable.
Volume: 7
Issue: 3
Page: 1154-1160
Publish at: 2017-06-01

Parameter Optimisation of Aerobic Granular Sludge at High Temperature Using Response Surface Methodology

10.11591/ijece.v7i3.pp1522-1529
Syahira Ibrahim , Norhaliza Abdul Wahab , Aznah Nor Anuar , Mustafa Bob
This paper proposes an improved optimisation of sequencing batch reactors (SBR) for aerobic granular sludge (AGS) at high temperature-low humidity for domestic wastewater treatment using response surface methodology (RSM). The main advantages of RSM are less number of experiment required and suitable for complex process. The sludge from a conventional activated sludge wastewater treatment plant and three sequencing batch reactors (SBRs) were fed with synthetic wastewater. The experiment were carried out at different high temperatures (30, 40 and 50°C) and the formation of AGS for simultaneous organics and nutrients removal were examined in 60 days. RSM is used to model and to optimize the biological parameters for chemical oxygen demand (COD) and total phosphorus removal in SBR system. The simulation results showed that at temperature of 45.33°C give the optimum condition for the total removal of COD and phosphorus, which correspond to performance index R2 of 0.955 and 0.91, respectively.
Volume: 7
Issue: 3
Page: 1522-1529
Publish at: 2017-06-01

Neural Network Controller for Power Electronics Circuits

10.11591/ijai.v6.i2.pp49-55
K.J. Rathi , M. S. Ali
Artificial Intelligence (AI) techniques, particularly the neural networks, are recently having significant impact on power electronics. This paper explores the perspective of neural network applications in the intelligent control for power electronics circuits. The Neural Network Controller (NNC) is designed to track the output voltage and to improve the performance of power electronics circuits. The controller is designed and simulated using MATLAB-SIMULINK
Volume: 6
Issue: 2
Page: 49-55
Publish at: 2017-06-01

Application of a Hadoop-based Distributed System for Offline Processing of Power Quality Disturbances

10.11591/ijpeds.v8.i2.pp695-704
Nader Mollaei , Seyyed Hadi Mousavi
Electric power quality is a critical issue for electric utilities and their customers and identification of the power quality disturbances is an important task in power system monitoring and protection. Offline processing of power quality disturbances provides an economic alternative for electric distribution companies, not capable of buying enough number of power quality analyzers for monitoring the disturbances online. Due to the wide frequency range of the disturbances which may happen in a power system, a high sampling rate is necessary for digital processing of the disturbances. Therefore, a large volume of data must be processed for this purpose for each node of an electric distribution network and such a processing has not yet been practical. However, thanks to the rapid developments of digital processors and computer networks, processing big databases is not so hard today. Apache Hadoop is an open-source software framework that allows for the distributed processing of large datasets using simple programming models. In this paper, application of Hadoop distributed computing software for offline processing of power quality disturbances is proposed and it is shown that this application makes such a processing possible and leads to a very cheaper system with widespread usage, compared to the power quality analyzers.
Volume: 8
Issue: 2
Page: 695-704
Publish at: 2017-06-01

Characterization of Defect Induced Multilayer Graphene

10.11591/ijece.v7i3.pp1452-1458
Marriatyi Morsin , Suhaila Isaak , Marlia Morsin , Yusmeeraz Yusof
A study of oxygen plasma on multilayer graphene is done with different flow rates. This is to allow a controlled amount of defect fabricated on the graphene. Results from the study showed that the intensity ratio of defect between D peak and G peak was strongly depended on the amount of oxygen flow rate thus affected the 2D band of the spectra. The inter-defect distance LD ≥ 15 nm of each sample indicated that low-defect density was fabricated. The surface roughness of the multilayer graphene also increased and reduced the conductivity of the multilayer graphene.
Volume: 7
Issue: 3
Page: 1452-1458
Publish at: 2017-06-01

Comparative Study in Determining Features Extraction for Islanding Detection using Data Mining Technique: Correlation and Coefficient Analysis

10.11591/ijece.v7i3.pp1112-1124
Aziah Khamis , Yan Xu , Azah Mohamed
A comprehensive comparison study on the datamining based approaches for detecting islanding events in a power distribution system with inverter-based distributed generations is presented. The important features for each phase in the island detection scheme are investigated in detail. These features are extracted from the time-varying measurements of voltage, frequency and total harmonic distortion (THD) of current and voltage at the point of common coupling. Numerical studies were conducted on the IEEE 34-bus system considering various scenarios of islanding and non-islanding conditions. The features obtained are then used to train several data mining techniques such as decision tree, support vector machine, neural network, bagging and random forest (RF). The simulation results showed that the important feature parameters can be evaluated based on the correlation between the extracted features. From the results, the four important features that give accurate islanding detection are the fundamental voltage THD, fundamental current THD, rate of change of voltage magnitude and voltage deviation. Comparison studies demonstrated the effectiveness of the RF method in achieving high accuracy for islanding detection.
Volume: 7
Issue: 3
Page: 1112-1124
Publish at: 2017-06-01

An Improved Augmented Line Segment based Algorithm for the Generation of Rectilinear Steiner Minimum Tree

10.11591/ijece.v7i3.pp1262-1267
Vani V , G.R. Prasad
An improved Augmented Line Segment Based (ALSB) algorithm for the construction of Rectilinear Steiner Minimum Tree using augmented line segments is proposed. The proposed algorithm works by incrementally increasing the length of line segments drawn from all the points in four directions. The edges are incrementally added to the tree when two line segments intersect. The reduction in cost is obtained by postponing the addition of the edge into the tree when both the edges (upper and lower L-shaped layouts) are of same length or there is no overlap. The improvement is focused on reduction of the cost of the tree and the number of times the line segments are augmented. Instead of increasing the length of line segments by 1, the line segments length are doubled each time until they cross the intersection point between them. The proposed algorithm reduces the wire length and produces good reduction in the number of times the line segments are incremented. Rectilinear Steiner Minimum Tree has the main application in the global routing phase of VLSI design. The proposed improved ALSB algorithm efficiently constructs RSMT for the set of circuits in IBM benchmark.
Volume: 7
Issue: 3
Page: 1262-1267
Publish at: 2017-06-01

Potential of Implementing the Low Concentration Photovoltaic Systems in the United Kingdom

10.11591/ijece.v7i3.pp1398-1405
Siti Hawa Abu-Bakar , Firdaus Muhammad-Sukki , Daria Freier , Roberto Ramirez-Iniguez , Tapas Kumar Mallick , Abu Bakar Munir , Siti Hajar Mohd Yasin , Abdullahi Abubakar Mas’ud , Siti Sarah Abu-Bakar , Nurul Aini Bani , Mohd Nabil Muhtazaruddin
This paper discusses the prospect of integrating a novel type of low concentration photovoltaic (LCPV) design known as the rotationally asymmetrical compound parabolic concentrator (RACPC) in a building in the United Kingdom. This is done by proposing a number of building integration designs to create a zero carbon building. A cost reduction analysis of installing the LCPV systems in the country is also presented. It was found that an RACPC design could reduce the LCPV module’s manufacturing cost by 31.75% and the LCPV module’s cost per unit power output by 33.87% when compared with the conventional PV module.
Volume: 7
Issue: 3
Page: 1398-1405
Publish at: 2017-06-01

Small Signal Stability Analysis of Grid Connected Photovoltaic

10.11591/ijeecs.v6.i3.pp553-562
Shalom Lim Zhu Aun , Marayati Bte Marsadek , Agileswari K. Ramasamy
This paper primarily focuses on the small signal stability analysis of a power system integrated with solar photovoltaics (PV). The test system used in this study is the IEEE 39-bus. The small signal stability of the test system are investigated in terms of eigenvalue analysis, damped frequency, damping ratio and participation factor. In this study, various conditions are analyzed which include the increase in solar PV penetration into the system and load variation. The results obtained indicate that there is no significant impact of solar PV penetration on the small signal stability of large scaled power system.
Volume: 6
Issue: 3
Page: 553-562
Publish at: 2017-06-01

Smart Home and Ambient Assisted Living Based on the Internet of Things

10.11591/ijece.v7i3.pp1480-1488
H. Sayuti , R. A. Rashid , N. M. Abdul Latiff , M. R. Abdul Rahim , A. H. F. Abdul Hamid , M. A. Sarijari , N. E. Ghazali
This paper presents a Smart Home and Ambient Assisted Living (SHAAL) system that has been developed and tested in a real experimental home environment. SHAAL system is designed on wireless sensor network (WSN) linked to the cloud network on the Internet. The development of SHAAL is divided into two phases: the design of SHAAL network and the development of SHAAL applications. SHAAL network is made up of the home network which is the WSN, and the cloud network. The network is designed using TelG mote that operates under Zigbee technology and includes various sensor modules for SHAAL system. The cloud network consists of the gateway, the server and user devices running on third generation (3G) network. Using priority scheduling algorithm for data transmission, it is shown that the performance delay of this system on the test-bed experiment is 34.2 percent less compared to the theoretical study. The implementation of the experimental testbed has proven that SHAAL has been successfully designed and deployed in the real world.
Volume: 7
Issue: 3
Page: 1480-1488
Publish at: 2017-06-01

The Linear Model of a PV moduel

10.11591/ijpeds.v8.i2.pp900-906
Mohamed Abd-El-Hakeem Mohamed
This paper propose a new approach to determine a linear  mathematical model of a PV moduel based on an accurate nonlinear model  . In this study, electrical parameters at only one operating condition are  calculated based on  an accurate model. Then, first-order Taylor series approximations apply on the nonlinear model to estimate the proposed model at any operating conditionts. The proposed method determines the number of iteration times. This decreases calculation time and the speed of numerical convergence will be increased. And, it is observed that owing to this method, the system converged and the problem of failing to solve the system because of inappropriate initial values is eliminated. The proposed model is requested in order to allow photovoltaic plants simulations using low-cost computer platforms. The effectiveness of the proposed model is demonstrated for different temperature and irradiance values through conducting a comparison between result of the proposed model and experimental results obtained from the module data-sheet information.
Volume: 8
Issue: 2
Page: 900-906
Publish at: 2017-06-01
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