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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 9,174 Documents
 501   502   503   504   505 
Performance of Pilot-Aided 3D- OFDM Channel Estimation using Different Antenna Configurations Dinesh N. Bhange; Chandrashekhar G. Dethe
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 1: October 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i1.pp77-84

Abstract

This paper aims, a 3D-Pilot Aided Multi-Input Multi-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) Channel Estimation (CE) for Digital Video Broadcasting -T2 (DVB-T2)for the 5 different proposed block and comb pilot patterns model and performed on different antenna configuration. The effects of multi-transceiver antenna on channel estimation are addressed with different pilot position in frequency, time and the vertical direction of spatial domain framing. This paper first focus on designing of 5- different proposed spatial correlated pilot pattern model with optimization of pilot overhead. Then it demonstrates the performance comparison of Least Square (LS) &Linear Minimum Mean Square Error (LMMSE), two linear channel estimators for 3D-Pilot Aided patterns on different antenna configurations in terms of Bit Error Rate. The simulation results are shown for Rayleigh fading noise channel environments. Also, 3x4 MIMO configuration is recommended as the most suitable configuration in this noise channel environments.
Multiple Human Body Postures Detection using Kinect Rosdiyana Samad; Law Wen Yan; Mahfuzah Mustafa; Nor Rul Hasma Abdullah; Dwi Pebrianti
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 2: May 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i2.pp528-536

Abstract

This paper presents a method to detect multiple human body postures using Kinect sensor. In this study, a combination of shape features and body joint points are used as input features. The Kinect sensor which used infrared camera to produce a depth image is suitable to be used in an environment that has varying lighting conditions. The method for human detection is done by processing the depth image and joint data (skeleton) which able to overcome several problems such as cluttered background, various articulated poses, and change in color and illumination. Then, the body joint coordinates found on the object are used to calculate the body proportion ratio. In the experiment, the average body proportions from three body parts are obtained to verify the suitableness of golden ratio usage in this work. Finally, the measured body proportion is compared with Golden Ratio to determine whether the found object is a real human body or not. This method is tested for various scenarios, where true positive human detection is high for various postures. This method able to detect a human body in low lighting and dark room. The average body proportions obtained from the experiment show that the value is close to the golden ratio value.
Multi-output Portable Universal Power Supply Kit with Plug-and-Use Equipment for Emergency Application A. Nazifah Abdullah; M. Asri Jusoh; Norkharziana Mohd Nayan; M. Syahril; N. Nadiah Ayop
Indonesian Journal of Electrical Engineering and Computer Science Vol 6, No 3: June 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v6.i3.pp497-503

Abstract

This paper presents design and analysis of Multi-output Portable Universal Power Supply Kit (EPS Kit). This EPS Kit is intended as an alternative power supply kit to reduce the issue of a power outage. Lead Acid Battery which is considered one of the easiest sources that can be found during an emergency state is the best alternative energy source. The EPS Kit is designed to store the power in Lead Acid Battery as the main source and powered by the solar energy as the secondary source and will be providing both standard household alternating current (AC) and most common direct current (DC) power. This Kit is a stand-alone system comes with plug-and-use kit in which the system can be recharged using solar and AC power. The plug-and-use kit is equipped with intelligent multi-USB ports, adjustable dual mode NiCd, Ni-Mh, and Li-Ion battery which are Discharge/Charger mode, AC output port, LED lamp, and emergency electrical accessories. EPS Kit is also portable which installed with wheel and handle for mobility application. Production of EPS Kit is involved software and hardware. The software used are 3D CAD design software and circuit simulation software respectively for preliminary 3D drawing design and output circuit validation. Experimental results of the EPS Kit load testing, charging and discharging state are conducted in order to demonstrate the EPS Kit functionality and usage.
An Accurate and Efficient Scheduler for Hadoop MapReduce Framework D C Vinutha; G.T Raju
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i3.pp1132-1142

Abstract

MapReduce is the preferred computing framework used in large data analysis and processing applications. Hadoop is a widely used MapReduce framework across different community due to its open source nature. Cloud service provider such as Microsoft azure HDInsight offers resources to its customer and only pays for their use. However, the critical challenges of cloud service provider is to meet user task Service level agreement (SLA) requirement (task deadline). Currently, the onus is on client to compute the amount of resource required to run a job on cloud. This work present a novel makespan model for Hadoop MapReduce framework namely OHMR (Optimized Hadoop MapReduce) to process data in real-time and utilize system resource efficiently. The OHMR present accurate model to compute job makespan time and also present a model to provision the amount of cloud resource required to meet task deadline. The OHMR first build a profile for each job and computes makespan time of job using greedy approach. Furthermore, to provision amount of resource required to meet task deadline Lagrange Multipliers technique is applied. Experiment are conducted on Microsoft Azure HDInsight cloud platform considering different application such as text computing and bioinformatics application to evaluate performance of OHMR of over existing model shows significant performance improvement in terms of computation time. Experiment are conducted on Microsoft Azure HDInsight cloud. Overall good correlation is reported between practical makespan values and theoretical makespan values.
Energy efficient clustereing method for wireless sensor network Chaitra HV; Dr. Ravikumar G.K
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 2: May 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i2.pp1039-1048

Abstract

Wireless sensor has attained wide interest across various industries due to availability of low cost sensor device. Preserving battery/energy of these sensor device is most desired. Recently, many approaches has been presented to improve lifetime of sensor network adopting clustering technique. Cluster head selection play an important factor in improving lifetime of cluster based network. For improving cluster head selection multi-objective function are presented in recent time by adopting evolutionary computing and metaheuristic algorithm. However, the existing model incurs computation overhead due to NP-Hard problem and connectivity issues is not considered. Thus affecting network performance. To address the research issues, this work present a novel Multi-objective imperialist competitive algorithm (MOICA) for cluster head selection and routing optimization. Experiment are conducted to evaluate the performance of MOICA over LEACH in term of lifetime performance considering first sensor node death and 75% sensor node death. The outcome shows MOICA achieves significance improvement over LEACH based protocols. 
Performance of Support Vector Machine in Classifying EEG Signal of Dyslexic Children using RBF Kernel AZA Zainuddin; W. Mansor; Khuan Y. Lee; Z. Mahmoodin
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 2: February 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i2.pp403-409

Abstract

Dyslexia is referred as learning disability that causes learner having difficulties in decoding, reading and writing words. This disability associates with learning processing region in the human brain. Activities in this region can be examined using electroencephalogram (EEG) which record electrical activity during learning process. This study looks into performance of Support Vector Machine (SVM) using RBF kernel in classifying EEG signal of Normal, Poor and Capable Dyslexic children during writing words and non-words. Discrete Wavelet Transform (DWT) with Daubechies order 2 was employed to extract the power of beta and theta waves of EEG signal. Beta and Theta/Beta ratio form the input features for classifier.  Multiclass one versus one SVM was used in the classification where RBF kernel parameters and box constraint values were varied with the factor of 10 to analyze performance of the classifier. It was found that the best performance of SVM with 91% overall accuracy was obtained when both kernel scale and box constraint are set to one.
A Comparative Study and Analysis on Conventional Solar PV Based DC-DC Converters and MPPT Techniques Premkumar Manoharan; Karthick K; Sowmya R
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i3.pp831-838

Abstract

As electricity demand escalated with supply, though there are lot of thermal power station, nuclear energy and other conventional power sources. Yet, there is exhaustion in the above assets and adding dangerous impacts to the atmospheric conditions.  The world searches for sustainable power source that it is normally accessible such as sun and wind. Apart from all the renewable energy resources, solar energy is readily harnessed for domestic application to meet demand. To increase the power conversion efficiency from the solar PV system it is better have a perfect DC to DC converters. The proposed outcome of this paper is to outline the DC to DC converter with MPPT algorithms to concentrate on extreme productivity at roof-top for solar PV application which decreases the cost of energy. In addition to that it also prevents panel miss matching at all environmental conditions for safer DC Voltage with flexible site design especially for domestic applications from the solar photovoltaic module. It is necessary to analyze the converters and MPPT algorithms under closed loop condition for the design and installation of solar PV system to the load or to the grid. This review summarizes few DC to DC converter topologies, maximum power point tracking algorithm and also paid attention on the advantages and disadvantages of these algorithms and topologies.
Multiple element of miniaturized printed log-periodic second series koch dipole array antenna for wideband chipless RFID tag reader Mohd Ezwan Bin Jalil; Mohamad Kamal A. Rahim; Noor Asmawati Samsuri; Sunti Tuntrakool
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 2: November 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i2.pp887-893

Abstract

This paper aims to produce a low profile, wideband, and high gain antenna for chipless RFID tag readers. A miniaturized and wideband printed Log-periodic second series koch dipole array (LPSSKDA) with eleven elements operating over 0.8 GHz-3.2 GHz is designed using the FR4 board. The single LPSSKDA antenna, which acts as the chipless RFID reader antenna having gain between 5.2 and 6.1 dBi and frequency range from 1-3 GHz. A double element of the LPSSKDA antenna is proposed for improving the antenna gain to 6.9-7.9 dBi over the frequency range. The antenna is fabricated to validate the simulation and measurement results in terms of reflection coefficient, radiation pattern, and surface current distribution.
Optimum Transmitter Receiver Ratio for Maximum Wireless Energy Transfer Mohamad Harris Misran; Sharul Kamal Abdul Rahim
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 3: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v5.i3.pp599-605

Abstract

Due to high demand of using cordless mobile device, the interest in wireless energy transfer (WET) has been growth intensively. This paper presented a method to obtained optimum transmitter receiver ratio for maximum performance of WET system using different initial antenna size at various distance. An optimized algorithm has been developed to determine the optimum ratios that yield the highest wireless transfer efficiency (WTE) at near field communication (NFC) frequency, 13.56MHz. 30mm x 30mm single square loop antenna is used as initial size of both transmitter and receiver using FR4 with operating distance = 50mm. Operating distance and initial size of the antenna will be varied and the effect to the WTE will be studied using Matlab, verified using Microsoft Studio CST. At distance = 50mm and initial size of the antenna = 30mm x 30mm, optimum transmitter to receiver ratio equal to 1:3 is obtained. The pattern of optimum transmitter receiver ratio between Matlab and CST has met an agreement. This research limited to integer transmitter receiver ratio used only and no decimal number being involved in magnify the transmitter size.
Incursion Recognition Mechanism Based on Secure Network System A. Mohamed Divan Masood; S. K. Muthusundar
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 3: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i3.pp543-545

Abstract

Internet based computing dissimilar services such as server storage and applications are shared on the internet. This makes cloud computing one of the most promising and rapidly growing technologies. As it relies on sharing computer resources, it is prone to various security risks. Individual such security issue is Distributed Denial of Services attack on cloud. A DDos assault can begin from anyplace in the system and normally overpowers the casualty server by sending countless. This paper deals with the prevention of DDos attacks and how honey pot approach can be used in cloud computing to counter DDos attacks.

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