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28,451 Article Results

Transitional Particle Swarm Optimization

10.11591/ijece.v7i3.pp1611-1619
Nor Azlina Ab Aziz , Zuwairie Ibrahim , Marizan Mubin , Sophan Wahyudi Nawawi , Nor Hidayati Abdul Aziz
A new variation of particle swarm optimization (PSO) termed as transitional PSO (T-PSO) is proposed here. T-PSO attempts to improve PSO via its iteration strategy. Traditionally, PSO adopts either the synchronous or the asynchronous iteration strategy. Both of these iteration strategies have their own strengths and weaknesses. The synchronous strategy has reputation of better exploitation while asynchronous strategy is stronger in exploration. The particles of T-PSO start with asynchronous update to encourage more exploration at the start of the search. If no better solution is found for a number of iteration, the iteration strategy is changed to synchronous update to allow fine tuning by the particles. The results show that T-PSO is ranked better than the traditional PSOs.
Volume: 7
Issue: 3
Page: 1611-1619
Publish at: 2017-06-01

Vibration Analysis of Tapered Pole Linear Switched Reluctance Machine

10.11591/ijpeds.v8.i2.pp957-962
Lenin N C , Arvind S V
The Vibration is one of the major problem in linear switched reluctance motors (LSRMs). This paper present a detailed analysis of vibration in a two phase LSRM and proposes a new structure to reduce the effect. The experimental results of this paper prove that the proposed structure is well suited for conveyor application.
Volume: 8
Issue: 2
Page: 957-962
Publish at: 2017-06-01

Cost-Effective Medical Robotic Telepresence Solution using Plastic Mannequin

10.11591/ijece.v7i3.pp1212-1218
Victor O. Matthews , Segun I. Popoola , Aderemi A. Atayero , Emmanuel Adetiba , Joke A. Badejo
Robotic telepresence is an Information and Communication Technology (ICT) solution that has a huge potential to address the problem of access to quality healthcare delivery in rural areas. However, the capital and operating costs of available systems are considered to be unffordable for rural dwellers in emerging economies. In addition, most of these communities are not even connected to the power grid. In this paper, the authors reduced the cost of engaging a robotic telepresence solution for rural medicare by using plastic mannequin and solar photovoltaic technology. An IP camera was fixed in each of the eye sockets of the plastic mannequin. These cameras are connected to a mini-computer embedded in the plastic mannequin. A Wi-Fi module establishes an Internet connection between remote physicians and rural heathcare facilities. The system is powered by a solar photovoltaic energy source to guarantee power availability. Another unique feature of this solution is that it gives the patient a better impression of the physical presence of a physician. Comparative cost analysis with robotic telepresence available in the market showed that our system is more affordable. This development will increase the adoption of robotic telepresense in rural telemedicine.
Volume: 7
Issue: 3
Page: 1212-1218
Publish at: 2017-06-01

An Enhanced Queue Management Scheme for Eradicating Congestion of TFRC over Wired Environment

10.11591/ijece.v7i3.pp1347-1354
N. Ramanjaneya Reddy , Chenna Reddy Pakanati , M. Padmavathamma
To accomplish increasing real time requirements, user applications have to send different kinds of data with different speeds over the internet.  To effectuate the aims of the computer networks, several protocols have been added to TCP/IP protocol suite.  Transport layer has to implement emerging techniques to transfer huge amount of data like multimedia streaming. To transmit multimedia applications, one of the suitable congestion control mechanisms in transport layer is TCP Friendly Rate Control Protocol (TFRC).  It controls congestion based on its equation. To get more smoothed throughput, intermediate nodes (like Routers. etc.) have to use suitable procedures in all real time situations. To eradicate the level of congestion in the network, we introduce enhanced Holt-Winters equations to RED queue management algorithm and applied to TFRC. The simulation results have shown that this strategy reduces packet loss and increases throughput.
Volume: 7
Issue: 3
Page: 1347-1354
Publish at: 2017-06-01

The Ab-initio Study of Bulk Single Layer Defected Graphene Towards Graphene Device

10.11591/ijece.v7i3.pp1444-1451
Marriatyi Morsin , Yusmeeraz Yusof
Graphene is a promising new material for the construction of graphene devices because of its surface modification can be tuned the band gap. In this paper, the electronic and transport characteristics of defected graphene device are investigated. Both the electronic and transport characteristics are simulated using density functional theory (DFT). The band structures and transmission spectra are analyzed. The conductance and thermal conductance characteristic for both graphene is compared. From the simulation, it is found that the conductance, thermal conductance, and the I-V curves depend on the transmission spectrum of the graphene sheet or graphene device itself. The comparison between the defected graphene itself shows that the single layer with two vacancies shows better performance.
Volume: 7
Issue: 3
Page: 1444-1451
Publish at: 2017-06-01

An Advanced MPPT Based on Artificial Bee Colony Algorithm for MPPT Photovoltaic System under Partial Shading Condition

10.11591/ijpeds.v8.i2.pp647-653
Salmi Hassan , Badri Abdelmajid , Zegrari Mourad , Sahel Aicha , Baghdad Abdenaceur
Maximum power point tracking (MPPT) algorithms are employed in photovoltaic (PV) systems to make full utilization of PV array output power, which have a complex relationship between ambient temperature and solar irradiation. The power-voltage characteristic of PV array operating under partial shading conditions (PSC) exhibits multiple local maximum power points (LMPP). In this paper, an advanced algorithm has been presented to track the global maximum power point (GMPP) of PV. Compared with the Perturb and Observe (P&O) techniques, the algorithm proposed the advantages of determining the location of GMPP whether partial shading is present.
Volume: 8
Issue: 2
Page: 647-653
Publish at: 2017-06-01

Comparison of Multicarrier PWM Techniques for Cascaded H-Bridge Multilevel Inverter

10.11591/ijpeds.v8.i2.pp861-868
Hashim Hasabelrasul , Xiangwu Yan
One of the preferred choices of electronic power conversion for high power applications are multilevel inverters topologies finding increased attention in industry. Cascaded H-Bridge multilevel inverter is one of these topologies reaching the higher output voltage, power level and higher reliability due to its modular topology. Level Shifted Carrier Pulse Width Modulation (LSCPWM) and Phase Shifted Carrier Pulse Width Modulation are used generally for switching cascaded H-bridge (CHB) multilevel inverters. This paper compares LSCPWM and PSCPWM in terms of total harmonics distortion (THD) and output voltage among inverter cells. Simulation for 21-level CHB inverter is carried out in MATLAB/SIMULINK and simulation results are presented.
Volume: 8
Issue: 2
Page: 861-868
Publish at: 2017-06-01

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

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

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
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