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28,451 Article Results

Portable Electrochemical Sensing System Attached to Smartphones and Its Incorporation with Paper-based Electrochemical Glucose Sensor

10.11591/ijece.v7i3.pp1423-1429
Takuya Fujimoto , Shogo Kawahara , Yukio Fuchigami , Shoji Shimokawa , Yosuke Nakamura , Kenichi Fukayama , Masao Kamahori , Shigeyasu Uno
This paper described the development of a small and low cost biosensor consisting of a smartphone-based electrochemical biosensor device and a paper-based biosensor. The device harvested power from the smartphone and transferred data through audio jack. We designed CMOS circuits including a power supply circuit, a potentiostat, and a ΔΣ modulator. The fabrication of a paper-based biosensor was simple: the three electrodes were directly drawn on chromatography paper using a carbon pencil. The paper-based biosensor was low cost, disposable, portable and friendly to the environment. The sensing system was designed to perform the chronoamperometry measurement, and the glucose concentration in a liquid specimen was detected. Results showed that the sensing system was capable of measuring the glucose concentration as precisely as expensive equipments.
Volume: 7
Issue: 3
Page: 1423-1429
Publish at: 2017-06-01

SAR Levels for Irradiation by a Crumpled 900 MHz Flexible Diamond Dipole

10.11591/ijece.v7i3.pp1546-1553
N. A. Elias , N. A. Samsuri , M. K. A. Rahim , C. J. Panagamuwa , W. Whittow
In this work, the antenna performance and Specific Absorption Rate (SAR) levels in a homogeneous phantom exposed to 900 MHz flexible diamond dipole antenna are investigated under different crumpling deformation conditions. The numerical simulations of the realistic complex two dimensional crumpling are performed by using Finite Integration Technique (FIT) which is applied in Computer Simulation Technology (CST) Microwave Studio. The validation of results with the industry standard DASY4 robot SAR measurement system is made possible with the use of homogenous phantom model. The 1 g, 10 g and point SAR are enhanced by 28.33 %, 36.75 % and 9.55 % respectively due to the antenna crumpling deformation. The short length ripple investigated in this paper shows the highest relative SAR increment.
Volume: 7
Issue: 3
Page: 1546-1553
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

Wind Farm Management using Artificial Intelligent Techniques

10.11591/ijece.v7i3.pp1133-1144
Boualam Benlahbib , Farid Bouchafaa , Saad Mekhilef , Noureddine Bouarroudj
This paper presents a comparative study between genetic algorithm and particle swarm optimization methods to determine the optimal proportional–integral (PI) controller parameters for a wind farm management algorithm. This study primarily aims to develop a rapid and stable system by tuning the PI controller, thus providing excellent monitoring for a wind farm system. The wind farm management system supervises the active and reactive power of the wind farm by sending references to each wind generator. This management system ensures that all wind generators achieve their required references. Furthermore, the entire management is included in the normal controlling power set points of the wind farm as designed by a central control system. The performance management of this study is tested through MATLAB/Simulink simulation results for the wind farm based on three doublyfed induction generators
Volume: 7
Issue: 3
Page: 1133-1144
Publish at: 2017-06-01

A New Recognition Method for Visualizing Music Emotion

10.11591/ijece.v7i3.pp1246-1254
Van Loi Nguyen , Donglim Kim , Phi Van Ho , Younghwan Lim
This paper proposes an emotion detection method using a combination of dimensional approach and categorical approach. Thayer’s model is divided into discrete emotion sections based on the level of arousal and valence. The main objective of the method is to increase the number of detected emotions which is used for emotion visualization. To evaluate the suggested method, we conducted various experiments with supervised learning and feature selection strategies. We collected 300 music clips with emotions annotated by music experts. Two feature sets are employed to create two training models for arousal and valence dimensions of Thayer’s model. Finally, 36 music emotions are detected by proposed method. The results showed that the suggested algorithm achieved the highest accuracy when using RandomForest classifier with 70% and 57.3% for arousal and valence, respectively. These rates are better than previous studies.
Volume: 7
Issue: 3
Page: 1246-1254
Publish at: 2017-06-01

An Early Detection-Warning System to Identify Speed Breakers and Bumpy Roads using Sensors In Smartphones

10.11591/ijece.v7i3.pp1377-1384
Vamsee Krishna Kiran M , Vimalkumar K , Vinodhini R E , Archanaa R
Speed breakers and bumpy roads are a major threat to drivers that questions their safety. The mishap happens because of no sign boards indicating the speed breaker, poor visibility at night and road works that are often carried out with no proper signs of road deviations and also the negligence of the driver. All these factors put the life of the persons in vain causing damage to the vehicle as well as life. Also, bumpy roads have become a problem for cars with less ground clearance. The focus of the paper is on designing an early warning system detecting both speed breaker humps and bad road conditions. The approach used in this paper is a real-time solution and is developed as an android service that runs in the background and relies on Google Maps application in the smartphone. This service will throw an alert giving early warning if the user is approaching the speed breaker or a bumpy road. Apart from just giving an early alert to the user, it also provides the user with an alternative and a better route. The solution proposed in this work is a form of crowdsourcing where users share and get data, therefore making the system cost effective.
Volume: 7
Issue: 3
Page: 1377-1384
Publish at: 2017-06-01

Disaggregated Electricity Bill Base on Utilization factor and Time-of-use (ToU) Tariff

10.11591/ijece.v7i3.pp1498-1505
Nur Farahin Asa @ Esa , Md Pauzi Abdullah , Mohammad Yusri Hassan , Faridah Hussin
Time of Use tariff is introduced to motivate users to change their electricity usage pattern. Commonly the tariff is high during peak hours and relatively low during off peak hours, to encourage users to reduce consumption during peak hours or shift it to off-peak hours. This tariff scheme provides opportunities for building owners to reduce their electricity bill provided that their electricity usage patterns of various spaces in that building at every hour are known. In practice, the kWh meter installed by the utility can only provide the overall hourly electricity consumption pattern. To know the usage pattern of different spaces or rooms, separate individual meter need to be installed in each space/room, which is costly and impractical.  This paper presented the disaggregated electricity bill method based on user utilization factor and time of use (ToU) tariff. It estimates hourly electricity bill of each appliance at each space/room. Utilization factor is used to represent the electricity usage behavior of the occupants. The proposed method is applied on practical load profile data of a university building.
Volume: 7
Issue: 3
Page: 1498-1505
Publish at: 2017-06-01

An Optimized FPGA Implementation of CAN 2.0 Protocol Error Detection Circuitry

10.11591/ijeecs.v6.i3.pp602-614
Md Farukh Hashmi , Avinash G. Keskar
Controller Area Network is an ideal serial bus design suitable for modern embedded system based networks. It finds its use in most of critical applications, where error detection and subsequent treatment on error is a critical issue. CRC (Cyclic Redundancy Check) block was developed on FPGA in order to meet the needs for simple, low power and low cost wireless communication. This paper gives a short overview of CRC block in the Digital transmitter based on the CAN 2.0 protocols. CRC is the most preferred method of encoding because it provides very efficient protection against commonly occurring burst errors, and is easily implemented. This technique is also sometimes applied to data storage devices, such as a disk drive. In this paper a technique to model the error detection circuitry of CAN 2.0 protocols on reconfigurable platform have been discussed? The software simulation results are presented in the form of timing diagram.FPGA implementation results shows that the circuitry requires very small amount of digital hardware. The Purpose of the research is to diversify the design methods by using VHDL code entry through Modelsim 5.5e simulator and Xilinx ISE8.3i.The VHDL code is used to characterize the CRC block behavior which is then simulated, synthesized and successfully implemented on Sparten3 FPGA .Here, Simulation and Synthesized results are also presented to verify the functionality of the CRC -16 Block. The data rate of CRC block is 250 kbps .Estimated power consumption and maximum operating frequency of the circuitry is also provided.
Volume: 6
Issue: 3
Page: 602-614
Publish at: 2017-06-01

Modelling and Evaluation of Sequential Batch Reactor Using Artificial Neural Network

10.11591/ijece.v7i3.pp1620-1627
Norjannah Hazali , Norhaliza Abdul Wahab , Syahira Ibrahim
The main objective of wastewater treatment plant is to release safe effluent not only to human health but also to the natural environment. An aerobic granular sludge technology is used for nutrient removal of wastewater treatment process using sequential batch reactor system. The nature of the process is highly complex and nonlinear makes the prediction of biological treatment is difficult to achieve. To study the nonlinear dynamic of aerobic granular sludge, high temperature real data at 40˚C were used to model sequential batch reactor using artificial neural network. In this work, the radial basis function neural network for modelling of nutrient removal process was studied. The network was optimized with self-organizing radial basis function neural network which adjusted the network structure size during learning phase. Performance of both network were evaluated and compared and the simulation results showed that the best prediction of the model was given by self-organizing radial basis function neural network.
Volume: 7
Issue: 3
Page: 1620-1627
Publish at: 2017-06-01

Performance Analysis of (Bi2Te3-PbTe) Hybrid Thermoelectric Generator

10.11591/ijpeds.v8.i2.pp917-925
Anitha Angeline A , Jayakumar J , Lazarus Godson Asirvatham
A theoretical analysis on the performance of (Bi2Te3-PbTe) hybrid thermoelectric generator (TEG) is presented in this paper. The effect  of different performance parameters such as output voltage, output current, output power, maximum power output, open circuit voltage, Seebeck  co-efficient, electrical resistance, thermal conductance, figure of merit, efficiency, heat absorbed and heat removed based on maximum conversion and power efficiency have been analyzed by varying the hot side temperature up to 350oC and by varying the cold side temperature from 30oC to 150oC. The results showed that a maximum power output of 21.7 W has been obtained with the use of one hybrid thermoelectric module for a temperature difference of 320oC between the hot and cold side of the thermoelectric generator at matched load resistance. The figure of merit was found to be around 1.28 which makes its usage possible in the intermediate temperature (250oC to 350oC) applications such as heating of Biomass waste, heat from Biomass cook stoves or waste heat recovery etc. It is also observed that the hybrid thermoelectric generator offers superior performance over 250oC  of the hot side temperature, compared to standard Bi2Te3 modules
Volume: 8
Issue: 2
Page: 917-925
Publish at: 2017-06-01

Leakage Current Based Thermal Modeling of Glass Disc Insulator Surface

10.11591/ijeecs.v6.i3.pp504-512
Mohammed Imran Mousa , Zulkurnain Abdul-Malek , Zainab Imran Mousa
The stability of transmission lines relies on the health of the insulators, such as glass string insulators, which may occasionally flashover during an overvoltage. The likelihood of flashover increases notably when the glass insulator is wrapped by a wet contaminant layer. In this paper a study of the surface thermal profile of glass disc insulators insulation had been carried out for both clean and polluted surfaces. A finite-element simulation with time dependent model was carried out using COMSOL Multiphysics software. The variation of the insulator surface temperature with applied voltage as well as with pollution layer thickness is explained. The results illustrate the significant effect of pollution conductivity on heat propagate along the surface of the glass insulators with the increase higher voltages' magnitudes. Study of the aging level impact on a steady state thermal for glass insulation surface is also carried out.
Volume: 6
Issue: 3
Page: 504-512
Publish at: 2017-06-01

A Comparison Study of Learning Algorithms for Estimating Fault Location

10.11591/ijeecs.v6.i2.pp464-472
Mimi Nurzilah Hashim , Muhammad Khusairi Osman , Mohammad Nizam Ibrahim , Ahmad Farid Abidin , Ahmad Asri Abd Samat
Fault location is one of the important scheme in power system protection to locate the exact location of disturbance. Nowadays, artificial neural networks (ANNs) are being used significantly to identify exact fault location on transmission lines. Selection of suitable training algorithm is important in analysis of ANN performance. This paper presents a comparative study of various ANN training algorithm to perform fault location scheme in transmission lines. The features selected into ANN is the time of first peak changes in discrete wavelet transform (DWT) signal by using faulted current signal acted as traveling wave fault location technique. Six types commonly used backpropagation training algorithm were selected including the Levenberg-Marquardt, Bayesian Regulation, Conjugate gradient backpropagation with Powell-Beale restarts, BFGS quasi-Newton, Conjugate gradient backpropagation with Polak-Ribiere updates and Conjugate gradient backpropagation with Fletcher-Reeves updates. The proposed fault location method is tested with varying fault location, fault types, fault resistance and inception angle. The performance of each training algorithm is evaluated by goodness-of-fit (R2), mean square error (MSE) and Percentage prediction error (PPE). Simulation results show that the best of training algorithm for estimating fault location is Bayesian Regulation (R2 = 1.0, MSE = 0.034557 and PPE = 0.014%).
Volume: 6
Issue: 2
Page: 464-472
Publish at: 2017-05-01

Distributed Fast Maximum Power Point Tracking Technique for Mismatched Module Application

10.11591/ijeecs.v6.i2.pp225-232
M.I.M. Zakki , M.N.M. Hussain , I.R. Ibrahim , N.A. Ismail , M.N. Ibrahim
This paper propose distributed fast maximum power point tracking (DFMPPT) technique to achieve maximum power point tracking (MPPT). This paper implements the algorithm in distributed MPPT (DMPPT) architecture for mismatched condition with single module, and string connection. The MPPT method uses indirect and direct MPPT method by fractional open-circuit voltage (FOCV) with incremental conductance (INC) for high-speed maximum energy harvesting. This method is proven to be fast for tracking maximum power point (MPP) which achieves the peak power less in 1.7ms via for a single module with efficiency of 99.7% compared to the recent MPPT technique to reach MPP in 1.75ms with 95.8% efficiency. While for string configuration, the efficiency of the whole system is rated by 85.583% by taking 8.675ms to reach global MPP.
Volume: 6
Issue: 2
Page: 225-232
Publish at: 2017-05-01

Experimental Measurement of Arc Motion and Light Flicker Frequencies in the HID Lamps

10.11591/ijeecs.v6.i2.pp396-401
Amer Lakhdar , Hamouda Messaoud , Benachiba Chellali , Marcus Wolff
In order to reduce the electric consumption for high intensity discharge lamps, the use of high frequencies electronic ballasts represents both a solution and many advantages such as the decrease in the congestion and low costs. However, high frequency operation is not regarded as perfectly reliable due to the appearance of acoustic resonances inside the arc tube, which can result in low frequency light flicker and even lamp destruction. Here we experimentally determined light flicker frequencies using a photodiode which detects the light intensity fluctuation for a high intensity discharge lamp of 50W. Additionally, the arc motion frequencies are determined with the aid of a camera. The results obtained are compared with those of a lamp of the same type but with different power (35W).
Volume: 6
Issue: 2
Page: 396-401
Publish at: 2017-05-01

Modelling and Simulation of Field Oriented Control Based Permanent Magnet Synchronous Motor Drive System

10.11591/ijeecs.v6.i2.pp387-395
Faisal Amin , Erwan Bin Sulaiman , Wahyu Mulyo Utomo , Hassan Ali Soomro , Mahyuzie Jenal , Rajesh Kumar
On the basis of analysis of dq model of permanent magnet synchronous motor (PMSM) and principle of field oriented control (FOC), detail modelling of PMSM drive system and simulation results presented in this paper. The PMSM model is based on electronic components rather than mathematical blocks, this enabled us to achieve simulation results more realistic. Moreover all the modules of this simulation, such as inverter and pwm generator are made from scratch instead of using premade Simulink blocks. Simulation was carried on the basis of step change in speed and torque then made performance comparison of several parameters such as abc current, dq current, speed and torque.
Volume: 6
Issue: 2
Page: 387-395
Publish at: 2017-05-01
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