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Recognizing Foreign Object Debris (FOD): False Alarm Reduction Implementation
Talha Khan;
Muhammad Alam;
Kushairy Kadir;
Zeeshan Shahid;
MS. Mazliham;
Sheroz Khan;
Mohammad Miqdad
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: July 2018
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v11.i1.pp41-46
Recognition of foreign object debris (FOD) on ruwanys is mandatory to avert the accidents and emergency. The accurate and precise estimation of FOD is very complex because of the intricated shape and their different tiny sizes as well which are noe easily visilble. For the prompt removal of the FOD from the runways a robust, accurate and precise system is badly needed. Therefore, in our research we have proposed a vigor system comprised of ultrasonic sensor and infrared images capturing device with a combination of fake alerts reduction algorithm based on infrared images distribution and morphological edge identification. After the segmentation and morphological processing, the decision a unifying divider was designed to identify the actual targets. Several approaches have been done for the detailed and rapid investigation of FOD. Testing and validation have proved that our proposed research performed well compared to the other techniques. In this research ultrasonic sensors results are integrated with the processed infrared images.
Analyzing and Predicting User Navigation Pattern from Weblogs using Modified Classification Algorithm
P.G. OM Prakash;
A. Jaya
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: July 2018
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v11.i1.pp333-340
A Weblogs contains the history of User Navigation Pattern while user accessing the websites. The user navigation pattern can be analyzed based on the previous user navigation that is stored in weblog. The weblog comprises of various entries like IP address, status code and number of bytes transferred, categories and time stamp. The user interest can be classified based on categories and attributes and it is helpful in identifying user behavior. The aim of the research is to identifying the interested user behavior and not interested user behavior based on classification. The process of identifying user interest, it consists of Modified Span Algorithm and Personalization Algorithm based on the classification algorithm user prediction can be analyzed. The research work explores to analyze user prediction behavior based on user personalization that is captured from weblogs.
Enhance Cascaded H-Bridge Multilevel Inverter with Artificial Intelligence Control
S.Y. Sim;
C.K. Chia;
W.M. Utomo;
H.H. Goh;
Y.M.Y. Buswig;
A.J.M.S. Lim;
S.L. Kek;
A.A. Bohari;
C.L, Cham
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: July 2018
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v11.i1.pp105-112
This paper proposed a 7-level Cascaded H-Bridge Multilevel Inverter (CHBMI) with two diffenrent controller, ie, PID and Artificial Neural Network (ANN) controller to improve the output voltage performance and achieve a lower Total Harmonic Distortion (THD). A PWM generator is connected to the 7-level CHBMI to provide switching of the MOSFET. The reference signal waveform for the PWM generator is set to be sinusoidal to obtain an ideal AC output voltage waveform from the CHBMI. By tuning the PID controller as well as the self-learning abilities of the ANN controller, switching signals towards the CHBMI can be improved. Simulation results from the general CHBMI together with the proposed PID and ANN controller based 7-level CHBMI models will be compared and discussed to verifyl the proposed ANN controller based 7-level CHBMI achieved a lower output voltage THD value with a better sinusoidal output performance.
Smart Monitoring and Controlling of Frequency Deviation by Using MATLAB GUI and ARDUINO DAQ Card
Waqar Tariq;
Mohammad Lutfi Othman;
Noor Izzri Abdul Wahab;
Shamim Akhtar
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: July 2018
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v11.i1.pp224-232
Electricity transmission and distribution in most of the countries are needed to be improved by the construction of new networks. These improvements are not that much cost effective and if cost is tried to be reduced then the quality and efficiency of the system is compromised which is not suitable at all for the current system. In addition obtaining planning permission and carrying out construction is so much difficult in busy cities. The main objective of this research is to monitor and control frequency deviation. A simple MATLAB controlling and monitoring system is being developed and the ARDUINO DAQ card is used to calculate the frequency deviation. The purpose of respective research is basically based on a dummy load which is used to show the usage of particular equipment’s used in a home such as fridge, freezer ,oven , lighting system, and domestic wet appliances such as washer dryer which are attached these to a DAQ and then to a controlling and monitoring GUI MATLAB based. However, this research is focused on the monitoring and controlling of the frequency deviation.
Acoustical Comparison between /u/ and /u:/ Arabic Vowels for Non-Native Speakers
Ali Abd Almisreb;
Nooritawati Md Tahir;
Ahmad Farid Abidin;
Norashidah Md Din
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: July 2018
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v11.i1.pp1-8
The articulation of Arabic phonemes is essential for the Malay community since Arabic language is mandatory to perform worship. Hence, in this paper, an acoustical analysis of Arabic phonemes for vowels /u/ and /u:/ is discussed based on tokens pronounced by Malay speakers. The experimental results showed that the Malay speakers are inclined to utter these Arabic phonemes similar to the native speakers and it was also found from the analysis that the vowel /u/ and /u: was articulated as high-back vowels. Conversely, the vowel /u/ was located lower than /u:/ as in the vowel-space. Alternatively results also showed that /u/ and /u:/ is higher than the other vowels specifically /a/ and /a:/. In addition, the statistical analysis showed that the formant frequencies of both short and long dummah for formant frequency F1, F2 and F3 have more variation in terms of /u/ as compare to /u:/. In contrast formant frequency F4 and F5 are more diversity in terms of /u:/.
Advanced Active Power Filter Performance for Grid Integrated Hybrid Renewable Power Generation Systems
S. Guru Prasad;
K S Srikanth;
B V Rajanna
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: July 2018
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v11.i1.pp60-73
An active power filter implemented with a four leg voltage-source inverter using a predictive control scheme is presented. The use of a four leg voltage-source inverter allows the compensation of current harmonic components, as well as unbalanced current generated by single-phase nonlinear loads. A detailed yet simple mathematical model of the active power filter, including the effect of the equivalent power system impedance, is derived and used to design the predictive control algorithm. The compensation performance of the proposed active power filter and the associated control scheme under steady state and transient operating conditions is demonstrated through simulations and experimental results.
Comparison of Swarm Intelligence Algorithms for High Dimensional Optimization Problem
Samar Bashath;
Amelia Ritahani Ismail
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: July 2018
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v11.i1.pp300-307
High dimensional optimization considers being one of the most challenges that face the algorithms for finding an optimal solution for real-world problems. These problems have been appeared in diverse practical fields including business and industries. Within a huge number of algorithms, selecting one algorithm among others for solving the high dimensional optimization problem is not an easily accomplished task. This paper presents a comprehensive study of two swarm intelligence based algorithms: 1-particle swarm optimization (PSO), 2-cuckoo search (CS).The two algorithms are analyzed and compared for problems consisting of high dimensions in respect of solution accuracy, and runtime performance by various classes of benchmark functions.
Gbest Artificial Bee Colony for Non-convex Optimal Economic Dispatch in Power Generation
M. N. Abdullah;
A. F. A. Manan;
J. J. Jamian;
S. A. Jumaat;
N. H. Radzi
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: July 2018
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v11.i1.pp187-194
Non-convex Optimal Economic Dispatch (OED) problem is a complex optimization problem in power system operation that must be optimized economically to meet the power demand and system constraints. The non-convex OED is due to the generator characteristic such as prohibited operation zones, valve point effects (VPE) or multiple fuel options. This paper proposes a Gbest Artificial Bee Colony (GABC) algorithm based on global best particle (gbest) guided of Particle Swarm Optimization (PSO) in Artificial bee colony (ABC) algorithm for solving non-convex OED with VPE. In order to investigate the effectiveness and performance of GABC algorithm, the IEEE 14-bus 5 unit generators and IEEE 30-bus 6 unit generators test systems are considered. The comparison of optimal solution, convergence characteristic and robustness are also highlighted to reveal the advantages of GABC. Moreover, the optimal results obtained by proposed GABC are compared with other reported results of meta-heuristic algorithms. It found that the GABC capable to obtain lowest cost as compared to others. Thus, it has great potential to be implemented in different types of power system optimization problem.
Microclimate control of a greenhouse by adaptive Generalized Linear Quadratic strategy
Mohamed Essahafi;
Mustapha Ait Lafkih
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: July 2018
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v11.i1.pp377-385
To highlight the conceptual aspects related to the implementation of techniques optimal control in the form state, we present in this paper, the identification and control of the temperature and humidity of the air inside a greenhouse. Using respectively an online identification based on the recursive least squares with forgotten Factor method and the multivariable adaptive linear quadratic Gaussian approach which the advanced technique (LQG) is presented. The design of this controller parameters is based on state models identified directly from measured greenhouse data. hence the performances of the controller developed are illustrated by different tests and simulations on identified models of a greenhouse. Discussions on the results obtained are then processed in the paper to show the effectiveness of the controller in terms of stability and optimization of the cost of control.
Smart Home Security Access System Using Field Programmable Gate Arrays
Shukur Bin Saleh;
Sulaiman Bin Mazlan;
Nik Iskandar Bin Hamzah;
Ahmad Zahid Zakwan Bin Abdul Karim;
Mohd Shamian Bin Zainal;
Shipun Anuar Bin Hamzah;
Danial Bin Md Nor;
Hazwaj Bin Mhd Poad
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: July 2018
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v11.i1.pp152-160
Nowadays, the rapid growth of burglary and theft cases over the world has been threatening to the vulnerability of traditional home security systems. Therefore the development home security with intelligent control wherein focus to enhance conventional technique to theadvanced digital security systemand to be more interestinginhome or building owner for preventing intruders in smart home implementation. However, using avariety of type conventional lock doors for security purposes and analog intruder sensor with individual function system is not secure enoughin order to protect the person or company properties. That why the emergence of new technology such as integrated circuit network will apply in Smart Home system for abetter security solution to prevent the houses from theintruder and hazardous fire incident. Therefore, this project is done to design and build a smart system with consist of digital security entry for automatic lock doors and also for activating or deactivate all security sensor in houses which is function for detecting the irregular movement and hot temperature (fire incident) in-house for the domestic residential sector. This product includeswith doors automatic lock system using servo motor and detect irregular movement intruder using PIR motion sensor (HC-SR501) and also measure hot temperature using temperature sensor (LM35). The sensor will transmit theanalog signal to Field Programmable Gate Array (FPGA) the Altera DE2-115 board to be processed and which will then display the status entry after key-in password and activation security system on the LED seven segment displays. The entry login controller will use apush button or switchesavailable on FPGA board that are used to login password for automatic door accessand also able maintained for control home smart security system.