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28,451 Article Results

Development of Graphical User Interface (GUI) for University Student Health Monitoring

10.11591/ijeecs.v9.i3.pp673-679
Fadzliana Saad , Ismarani Ismail , Muhd Syamir Mohamad
This paper presents the development of GUI to monitor health condition of university students of Universiti Teknologi MARA (UiTM) Shah Alam.
Volume: 9
Issue: 3
Page: 673-679
Publish at: 2018-03-01

Simulation of AC-DC Converter for High Power Application

https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/9849
Ramarajan Sundaramoorthy , R.Samuel Rajesh Babu
This manuscript deals with the simulation of AC - DC Zeta converter for high power drive application with greater efficiency, lesser losses and power factor correction. It involves simpler control circuitry with less external components. The explanation of Fundamental function of Zeta converter is given in this paper. To condense the harmonic content the PI, PID and Fuzzy Logic controller are used. The operation of Zeta converter in open loop, closed loop is obtained. Closed loop system of zeta converter proves better performance over open loop system. Open and closed loop circuits are simulated by using MATLAB simulink. By giving disturbance in closed loop and open loop systems, feat of Zeta converter is compared. 
Volume: 9
Issue: 1
Page: 336-344
Publish at: 2018-03-01

A Design of Electrical Permanent Magnet Generator for Rural Area Wind Power Plant

10.11591/ijpeds.v9.i1.pp269-275
Muhammad Irfan , Ermanu Azizul Hakim , Diding Suhardi , Nur Kasan , Machmud Effendy , Ilham Pakaya , Amrul Faruq
This paper aims to design and simulate an Electrical Permanent Magnet Generator (EPMG) for rural area wind power plant. The generators available in the market mostly are a kind of high speed induction generator which requires high rotational speed and an electricity to generate a magnetic field. In this project, a radial flux generator is designed to have a low speed rotation using permanent magnet type Neodymium Iron Boron (NdFeB). Software used for designing is Finite Element Method (FEM) Magnet software basis. The model also examined with Simulink/Matlab environment. Extensive modifications are applied to get optimum result by changing generator diameter, number of coils, the copper wire diameter, number of poles, and used slots. The simulation results obtained generator speed 500rpm, the average series voltage is 145 Vrms, the generator requires 18cm diameter, number of turn for each coil is 55, diameter of the copper wire used is 0.6mm, and number of poles is 8 pairs and 12 unit slots.
Volume: 9
Issue: 1
Page: 269-275
Publish at: 2018-03-01

Design and Analysis of In-Wheel Double Stator Slotted Rotor BLDC Motor for Electric Bicycle Application

10.11591/ijpeds.v9.i1.pp457-464
S. Farina , R.N. Firdaus , F. Azhar , M. Azri , M. S. Ahmad , R. Suhairi , A. Jidin , Tole Sutikno
This paper discusses about design and analysis of double stator slotted rotor (DSSR) BLDC motor for electric bicycle application. Usually single stator (SS) BLDC motor is used in an electric bicycle. This type of motor has low performance and need to be charged regularly. The objective of this research is to design and analysis DSSR motor that have high torque. At starts, design specification for the electric bicycle is calculated. Next, design process for DSSR is carried out by using the desired parameter. Lastly, analysis for double stator slotted rotor is simulated using FEM. Result  for average back emf, average inductance, inner stator flux density, outer stator flux density, average torque and estimate torque constant is obtained. Result for average torque from FEM archieve the requirement of motor torque for DSSR design where the maximum average torque is 16.2 Nm. This research will give benefit to mankind and society in term of environment protection and energy consumption.
Volume: 9
Issue: 1
Page: 457-464
Publish at: 2018-03-01

Hybrid Head Tracking for Wheelchair Control Using Haar Cascade Classifier and KCF Tracker

10.12928/telkomnika.v16i4.6595
Fitri; Universitas Brawijaya Utaminingrum , Yuita Arum; Universitas Brawijaya Malang Sari , Putra Pandu; Universitas Brawijaya Malang Adikara , Dahnial; Universitas Braawijaya Syauqy , Sigit; Universitas Brawijaya Adinugroho
Disability may limit someone to move freely, especially when the severity of the disability is high. In order to help disabled people control their wheelchair, head movement-based control is preferred due to its reliability. This paper proposed a head direction detector framework which can be applied to wheelchair control. First, face and nose were detected from a video frame using Haar cascade classfier. Then, the detected bounding boxes were used to initialize Kernelized Correlation Filters tracker. Direction of a head was determined by relative position of the nose to the face, extracted from tracker’s bounding boxes. Results show that the method effectively detect head direction indicated by 82% accuracy and very low detection or tracking failure.
Volume: 16
Issue: 4
Page: 1616-1624
Publish at: 2018-02-10

Development of Virtual Resistance Meters using LabVIEW

10.11591/ijece.v8i1.pp133-140
Suman Lata , H. K. Verma , Puja Kumari
This paper presents the development of three virtual resistance meters using LabVIEW. The unknown resistance is measured in terms of a known resistance of high accuracy by employing (a) a real dc voltage source, (b) a real dc current source, and (c) a virtual dc voltage source. In each case, ratio of two voltage signals is acquired by a single-ADC based multichannel data acquisition card. Therefore error of the ADC gets cancelled, when ratio of two voltages is used in the final calculation of the value of unknown resistance. The first two VRMs use a real excitation source and are thus semi-virtual instruments, whereas the third one is fully-virtual as the excitation source is also implemented in the LabVIEW software along with DAC section of the data acquisition card. The three virtual resistance meters have been successfully implemented. The principle of ratio-metric measurement used makes the accuracy (uncertainty) of final measurement free from the uncertainties of the ADC, the DAC and the excitation source. Standard deviations of the readings taken with the three VRMs have been evaluated and compared. It is concluded that the fully-virtual instrument has the lowest and excellent value of standard deviation.
Volume: 8
Issue: 1
Page: 133-140
Publish at: 2018-02-01

Design and Implementation of Portable Outdoor Air Quality Measurement System using Arduino

10.11591/ijece.v8i1.pp280-290
Teddy Surya Gunawan , Yasmin Mahira Saiful Munir , Mira Kartiwi , Hasmah Mansor
Recently, there is increasing public awareness of the real time air quality due to air pollution can cause severe effects to human health and environments. The Air Pollutant Index (API) in Malaysia is measured by Department of Environment (DOE) using stationary and expensive monitoring station called Continuous Air Quality Monitoring stations (CAQMs) that are only placed in areas that have high population densities and high industrial activities. Moreover, Malaysia did not include particulate matter with the size of less than 2.5μm (PM2.5) in the API measurement system. In this paper, we present a cost effective and portable air quality measurement system using Arduino Uno microcontroller and four low cost sensors. This device allows people to measure API in any place they want. It is capable to measure the concentration of carbon monoxide (CO), ground level ozone (O3) and particulate matters (PM10 & PM2.5) in the air and convert the readings to API value. This system has been tested by comparing the API measured from this device to the current API measured by DOE at several locations. Based on the results from the experiment, this air quality measurement system is proved to be reliable and efficient.
Volume: 8
Issue: 1
Page: 280-290
Publish at: 2018-02-01

Multi-objective Optimization of PID Controller using Pareto-based Surrogate Modeling Algorithm for MIMO Evaporator System

10.11591/ijece.v8i1.pp556-565
Amrul Faruq , Mohd Fauzi Nor Shah , Shahrum Shah Abdullah
Most control engineering problems are characterized by several objectives, which have to be satisfied simultaneously. Two widely used methods for finding the optimal solution to such problems are aggregating to a single criterion, and using Pareto-optimal solutions. This paper proposed a Pareto-based Surrogate Modeling Algorithm (PSMA) approach using a combination of Surrogate Modeling (SM) optimization and Pareto-optimal solution to find a fixed-gain, discrete-time Proportional Integral Derivative (PID) controller for a Multi Input Multi Output (MIMO) Forced Circulation Evaporator (FCE) process plant. Experimental results show that a multi-objective, PSMA search was able to give a good approximation to the optimum controller parameters in this case. The Non-dominated Sorting Genetic Algorithm II (NSGA-II) method was also used to optimize the controller parameters and as comparison with PSMA.
Volume: 8
Issue: 1
Page: 556-565
Publish at: 2018-02-01

Optimized Kernel Extreme Learning Machine for Myoelectric Pattern Recognition

10.11591/ijece.v8i1.pp483-496
Khairul Anam , Adel Al-Jumaily
Myoelectric pattern recognition (MPR) is used to detect user’s intention to achieve a smooth interaction between human and machine. The performance of MPR is influenced by the features extracted and the classifier employed. A kernel extreme learning machine especially radial basis function extreme learning machine (RBF-ELM) has emerged as one of the potential classifiers for MPR. However, RBF-ELM should be optimized to work efficiently. This paper proposed an optimization of RBF-ELM parameters using hybridization of particle swarm optimization (PSO) and a wavelet function. These proposed systems are employed to classify finger movements on the amputees and able-bodied subjects using electromyography signals. The experimental results show that the accuracy of the optimized RBF-ELM is 95.71% and 94.27% in the healthy subjects and the amputees, respectively. Meanwhile, the optimization using PSO only attained the average accuracy of 95.53 %, and 92.55 %, on the healthy subjects and the amputees, respectively. The experimental results also show that SW-RBF-ELM achieved the accuracy that is better than other well-known classifiers such as support vector machine (SVM), linear discriminant analysis (LDA) and k-nearest neighbor (kNN).
Volume: 8
Issue: 1
Page: 483-496
Publish at: 2018-02-01

Power Quality Compensation in Distribution System based on Instantaneous Power Theory and Recursive Fuzzy Proportional-Integral Controller

https://ijece.iaescore.com/index.php/IJECE/article/view/9496
Mehrdad Ahmadi Kamarposhti
In this paper, the power quality compensation problems such as current harmonics and system load's reactive power are considered. In this context, we use static distribution synchronous compensator to inject compensation current into the system, which its reference current signals have been derived from the instantaneous power theory. To improve the current control operation and fast tracking of reference signals, a PI recursive controller has been used which is able to reduce to zero tracking error compared to its conventional type. The performance of the controller is delayed for a period; to overcome this problem, the phase rules have been used to adjust the controller parameters to increase the control performance speed. Finally, in simulation we used Matlab / Simulink software, which has been proven to be better than conventional PI controller-based compensation for power quality.
Volume: 8
Issue: 1
Page: 538-543
Publish at: 2018-02-01

Evaluation of Energy Consumption using Receiver–Centric MAC Protocol in Wireless Sensor Networks

10.11591/ijece.v8i1.pp87-93
Ananda Kumar K S , Balakrishna R
At present day’s wireless sensor networks, obtain a lot consideration to researchers. Maximum number of sensor nodes are scattered that can communicate with all others. Reliable data communication and energy consumption are the mainly significant parameters that are required in wireless sensor networks. Many of MAC protocols have been planned to improve the efficiency more by enhancing the throughput and energy consumption. The majority of the presented medium access control protocols to only make available, reliable data delivery or energy efficiency does not offer together at the same time. In this research work the author proposes a novel approach based on Receiver Centric-MAC is implemented using NS2 simulator. Here, the author focuses on the following parametric measures like - energy consumption, reliability and bandwidth. RC-MAC provides high bandwidth without decreasing energy efficiency. The results show that 0.12% of less energy consumption, reliability improved by 20.86% and bandwidth increased by 27.32% of RC-MAC compared with MAC IEEE 802.11.
Volume: 8
Issue: 1
Page: 87-93
Publish at: 2018-02-01

Bit Error Rate (BER) QoS Attribute in Solving Wireless Pricing Scheme on Single Link Multi Service Network

10.11591/ijece.v8i1.pp236-245
Irmeilyana Irmeilyana , Fitri Maya Puspita , Indrawati Indrawati , Rahayu Tamy Agustin
Pricing schemes were set up on multi service network of wireless internet pricing scheme to proposed models applying Bit Error Rate QoS attribute due to requirements for ISP to maximize revenue and provide high quality of service to end users.The model was deigned by improving the original model together with added parameters and variables to the model of multi- service network by setting the base price (α) and premium quality (β) as variables and parameters. LINGO 11.0 were applied to help finding the solution. The results show that the improved models yield maximum revenue for ISP by applying the improved model by setting up a variable α and β as constant as well as by increasing the cost of all the changes in QoS. The QoS attriute BER is proven to achieve the ISP’s goal to maximize the revenue.
Volume: 8
Issue: 1
Page: 236-245
Publish at: 2018-02-01

Coordination of Adaptive Neuro Fuzzy Inference System (ANFIS) and Type-2 Fuzzy Logic System-Power System Stabilizer (T2FLS-PSS) to Improve a Large-scale Power System Stability

10.11591/ijece.v8i1.pp76-86
Agung Budi Muljono , I. M. Ginarsa , I. M. A. Nrartha , A. Dharma
Intelligent control included ANFIS and type-2 fuzzy (T2FLS) controllers grown-up rapidly and these controllers are applied successfully in power system control. Meanwhile, small signal stability problem appear in a large-scale power system (LSPS) due to load fluctuation. If this problem persists, and can not be solved, it will develop blackout on the LSPS. How to improve the LSPS stability due to load fluctuation is done in this research by coordinating of PSS based on ANFIS and T2FLS. The ANFIS parameters are obtained automatically by training process. Meanwhile, the T2FLS parameters are determined based on the knowledge that obtained from the ANFIS parameters. Input membership function (MF) of the ANFIS is 5 Gaussian MFs. On the other hand, input MF of the T2FLS is 3 Gaussian MFs. Results show that the T2FLS-PSS is able to maintain the stability by decreasing peak overshoot for rotor speed and angle. The T2FLS-PSS makes the settling time is shorter for rotor speed and angle on local mode oscillation as well as on inter-area oscillation than conventional/ ANFIS-PSS. Also, the T2FLS-PSS gives better performance than the other PSS when tested on single disturbance and multiple disturbances.
Volume: 8
Issue: 1
Page: 76-86
Publish at: 2018-02-01

Ant Colony Optimization for Optimal Low-Pass State Variable Filter Sizing

10.11591/ijece.v8i1.pp227-235
Kritele Loubna , Benhala Bachir , Zorkani Izeddine
In analog filter design, discrete components values such as resistors (R) and capacitors (C) are selected from the series following constant values chosen. Exhaustive search on all possible combinations for an optimized design is not feasible. In this paper, we present an application of the Ant Colony Optimization technique (ACO) in order to selected optimal values of resistors and capacitors from different manufactured series to satisfy the filter design criteria. Three variants of the Ant Colony Optimization are applied, namely, the AS (Ant System), the MMAS (Min-Max AS) and the ACS (Ant Colony System), for the optimal sizing of the Low-Pass State Variable Filter. SPICE simulations are used to validate the obtained results/performances which are compared with already published works.
Volume: 8
Issue: 1
Page: 227-235
Publish at: 2018-02-01

Mathematical Modelling and Computer Simulation Assist in Designing Non-traditional Types of Precipitators and Separators

10.11591/ijece.v8i1.pp441-449
Milan Bernat , Jaroslav Džmura , Renáta Bernátová , Ľubomr Žáčok , Jan Pavlovkin
The article deals with the application of the method for mathematical modeling and simulation at solving some issues in the area of electrostatic technology. It focuses on the processes in electrostatic separation and precipitation. Computer simulation is highly required for equipment design and for their diagnostics in critical operating states using theoretical calculations and experimental data evaluation. The presented computer models may be applied both by project and design engineers using the most advanced computer-aided design of electrostatic technologies.
Volume: 8
Issue: 1
Page: 441-449
Publish at: 2018-02-01
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