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28,593 Article Results

Comparative Study of Meta-heuristics Optimization Algorithm using Benchmark Function

10.11591/ijece.v7i3.pp1643-1650
I. Ismail , A. Hanif Halim
Meta-heuristics optimization is becoming a popular tool for solving numerous problems in real-world application due to the ability to overcome many shortcomings in traditional optimization. Despite of the good performance, there is limitation in some algorithms that deteriorates by certain degree of problem type. Therefore it is necessary to compare the performance of these algorithms with certain problem type. This paper compares 7 meta-heuristics optimization with 11 benchmark functions that exhibits certain difficulties and can be assumed as a simulation relevant to the real-world problems. The tested benchmark function has different type of problem such as modality, separability, discontinuity and surface effects with steep-drop global optimum, bowl- and plateau-typed function. Some of the proposed function has the combination of these problems, which might increase the difficulty level of search towards global optimum. The performance comparison includes computation time and convergence of global optimum.
Volume: 7
Issue: 3
Page: 1643-1650
Publish at: 2017-06-01

Novel Image Mosaicking of UAV’s Imagery using Collinearity Condition

10.11591/ijece.v7i3.pp1188-1196
Martinus Edwin Tjahjadi , Fourry Handoko , Silvester Sari Sai
This paper presents a preliminary result of ongoing research on unmanned aerial vehicle (UAV) for cooperative mapping to support a large-scale urban city mapping, in Malang, Indonesia. A small UAV can carry an embedded camera which can continuously take pictures of landscapes. A convenient way of monitoring landscape changes might be through accessing a sequence of images. However, since the camera’s field of view is always smaller than human eye’s field of view, the need to combine aerial pictures into a single mosaic is eminent. Through mosaics, a more complete view of the scene can be accessed and analyzed. A semi-automated generation of mosaics is investigated using a photogrammetric approach, namely a perspective projection which is based on collinearity condition. This paper reviews the general projection model based on collinearity condition and uses that to determine a common projective plane from images. The overlapped points for each RGB channel are interpolated onto that of orthographic plane to generate mosaics. An initial attempt shows a promising result.
Volume: 7
Issue: 3
Page: 1188-1196
Publish at: 2017-06-01

A Unified Quality Control Model for E-Learning Systems

10.11591/ijece.v7i3.pp1355-1366
Khalid Hamed Allehaibi , Nasser Nammas Albaqami
Defining, measuring, and achieving quality of e-learning systems are not an easy task. Accordingly, one of the most essential goals for the higher educational institutes is how to reach a high and satisfied level of quality in their learning systems. Achieving such level needs adequate and continuous improvements for the whole e-learning environment elements. Therefore, we aim in our work to construct a unified framework for total quality management system (TQMS) that attempt to satisfy the quality requirements, needs, and standards. The objective of this paper is to present a quality control model for e-learning system that adopts the e-learning platform according to the on-line determination of both user's requirements and global standards. This paper proposed software architecture of quality Management framework for e-learning that could be adopted by different higher education institutes to control the quality of the e-learning process, and assure the quality of the e-learning process outcome. The proposed framework is based on a tri-dimensions quality model. The three dimensions are set of quality requirements for e-learning environment represented in Quality Assurance (QA) policies that will be formalized by using policy based approach, the specifications of e-learning platform that provide learning and teaching activities, and quality control process loop. The architecture for monitor and ensure quality control of the QA policies for e-learning system will deliver the whole learning services in an optimal way. It is also flexible and can be implemented over any e-learning system.
Volume: 7
Issue: 3
Page: 1355-1366
Publish at: 2017-06-01

A Proposal for Mitigating Fishermen Killing in Indian Sea Borders through Technology – Maritime Boundary Identification Device

10.11591/ijeecs.v6.i3.pp704-710
Abhishek SN , Shriram K Vasudevan , Prashant R Nair , Thangavelu S , Sundaram RMD
The Tamil Nadu – Sri Lanka maritime boundary has been responsible for frequent controversies in the global front, due to fishermen from Rameshwaram and Ramanthapuram districts recklessly straying past Indian waters. Instances of Indian fishermen being captured and killed by the Sri Lankan navy have spun vivid images of violence and human rights violation among the masses. Social activists are desperate for an automatic alarm system to warn the fishermen when they are about to cross the border, and avert a possible impending crisis. The following discussion focuses on the design of an alarm signal system that could alert the fishermen on a periodic basis as they approach closer to the maritime boundary. Installing Global Positioning System (GPS) devices would pose several economic challenges. Instead of the conventional approach of using GPS devices to track location, a transmitter – receiver system exquisitely designed to send signals to the boat would be effective. This system helps in keeping a continuous track of the boats. It provides a reliable solution to alert fishermen before they could inadvertently exceed the boundary. 
Volume: 6
Issue: 3
Page: 704-710
Publish at: 2017-06-01

Image Processing of Panoramic Dental X-Ray for Identifying Proximal Caries

10.12928/telkomnika.v15i2.6856
Jufriadif; Universitas Putra Indonesia YPTK Padang Na'am , Johan; Gunadarma University Harlan , Sarifuddin; Gunadarma University Madenda , Eri Prasetyo; Gunadarma University Wibowo
This study aims to facilitate the identification of proximal caries in the Panoramic Dental X-Ray  image. Twenty-seven X-Ray images of proximal caries were elaborated. The images in digital form were processed using Matlab and Multiple Morphological Gradient. The process produced sharper images and clarifies the edges of the objects in the images. This makes the characteristics of the proximal caries and the caries severity can be identified precisely.
Volume: 15
Issue: 2
Page: 702-708
Publish at: 2017-06-01

Performance Evaluation of Gauss-Markov Mobility Model in Hybrid LTE-VANET Networks

10.12928/telkomnika.v15i2.5913
Doan; Telkom University Perdana , Rendy; Telkom University Munadi , Robby C.; Telkom University Manurung
Vehicular Ad-hoc Network (VANET) developed based on mobile ad-hoc networks (MANET). VANET have different characteristics than MANET, on VANET mobile node (MN) moves faster, topology changes dynamically. The previous research shows that the model of mobility affects to the network performance. In this paper, the Gauss-Markov mobility model used to illustrate the motion of the MN, which illustrates changes of acceleration, speed, location, and direction at any time. This paper enriches the evaluation of the performance of Gauss-Markov mobility model on LTE-VANET hybrid network, by evaluating various network performance metrics, particularly, packet delivery ratio (PDR), throughput, and delay. This research evaluated the Gauss-Markov mobility model and performed with the number of nodes and randomness index (α) that varies by utilizing NS-3 software. The results show that there is a strong correlation between PDR, throughput, and delay with the addition number of MNs. Based on the simulation result, the hybrid LTE-VANET produce better delay compared to pure VANET. The average delay is smaller 40% compared to pure VANET. This simulation also concludes that different value of alpha on Gauss-Markov mobility model does not influence PDR, throughput, and delay.
Volume: 15
Issue: 2
Page: 606-621
Publish at: 2017-06-01

A Customized Reconfiguration Controller with Remote Direct ICAP Access for Dynamically Reconfigurable Platform

10.12928/telkomnika.v15i2.5508
Tze Hon; Universiti Teknologi Malaysia Tan , Chia Yee; Universiti Teknologi Malaysia Ooi , Muhammad Nadzir; Universiti Teknologi Malaysia Marsono
As FPGA dynamic partial reconfiguration getting into mainstream, design of reconfiguration controller becomes an active research. Most of the existing reconfiguration controllers support only the loading of partial bitstream into configuration memory without allowing user to access ICAP directly, which can provide user higher controllability over the reconfigurable device. This paper presents the architecture of a customized reconfiguration controller with remote direct ICAP access. Remote direct ICAP access allows user to configure or readback device internal registers, which offer user higher controllability over the reconfigurable device. Additionally, the proposed reconfiguration controller achieved at least 3.19 Gbps of reconfiguration throughput, which reduces the platform service downtime during dynamic partial reconfiguration. In order to reduce the latency and transmission overhead of remote functional update, partial bitstream is compressed with run-length encoding before transmission.
Volume: 15
Issue: 2
Page: 570-577
Publish at: 2017-06-01

Incremental Approach of Neural Network in Back Propagation Algorithms for Web Data Mining

10.11591/ijai.v6.i2.pp74-78
A. P. Tawdar , M. S. Bewoor , S. H. Patil
Text Classification is also called as Text Categorization (TC), is the task of classifying a set of text documents automatically into different categories from a predefined set. If a text document relates to exactly one of the categories, then it is called as single-label classification task; otherwise, it is called as multi-label classification task. For Information Retrieval (IR) and Machine Learning (ML), TC uses several tools and has received much attention in the last decades. In this paper, first classifies the text documents using MLP based machine learning approach (BPP) and then return the most relevant documents. And also describes a proposed back propagation neural network classifier that performs cross validation for original Neural Network. In order to optimize the classification accuracy, training time. Proposed web content mining methodology in the exploration with the aid of BPP. The main objective of this investigation is web document extraction and utilizing different grouping algorithm. This work extricates the data from the web URL.
Volume: 6
Issue: 2
Page: 74-78
Publish at: 2017-06-01

Chaotic Mutation Immune Evolutionary Programming for Voltage Security with the Presence of DGPV

10.11591/ijeecs.v6.i3.pp721-729
Sharifah Azma Syed Mustaffa , Ismail Musirin , Mohd. Murthada Othman , Mohd. Helmi Mansor
Due to environmental concern and certain constraint on building a new power plant, renewable energy particularly distributed generation photovoltaic (DGPV) has becomes one of the promising sources to cater the increasing energy demand of the power system. Furthermore, with appropriate location and sizing, the integration of DGPV to the grid will enhance the voltage stability and reduce the system losses. Hence, this paper proposed a new algorithm for DGPV optimal location and sizing of a transmission system based on minimization of Fast Voltage Stability Index (FVSI) with considering the system constraints. Chaotic Mutation Immune Evolutionary Programming (CMIEP) is developed by integrating the piecewise linear chaotic map (PWLCM) in the mutation process in order to increase the convergence rate of the algorithm. The simulation was applied on the IEEE 30 bus system with a variation of loads on Bus 30. The simulation results are also compared with Evolutionary Programming (EP) and Chaotic Evolutionary Programming (CEP) and it is found that CMIEP performed better in most of the cases.
Volume: 6
Issue: 3
Page: 721-729
Publish at: 2017-06-01

Design of Digital to Analog Voice Data Packet Conversion from Ethernet Protocol using FPGA

10.12928/telkomnika.v15i2.3612
Barlian Henryranu; University of Brawijaya Prasetio , Dahnial; University of Brawijaya Syauqy
This paper describes a system that is designed to be able to receive packet voice signal using the Ethernet protocol in local networks using FPGA which was programmed decode the data packets. The digital data packets are then converted back into analog data that will be used to control another system. The design was implemented as four components consisting of frame starter unit, address matching unit, buffer unit and DAC processing unit. The system was designed on Xilinx development board using ISE design suite and simulated on ISIM. The test results showed that the system response was less than 40 ms. The result also showed that our proposed design only occupies 11% of number of slices and it also requires 5% of total IOBs on Xilinx Spartan 3-E.
Volume: 15
Issue: 2
Page: 646-653
Publish at: 2017-06-01

Design and Performance Analysis of 1.8 GHz Low Noise Amplifier for Wireless Receiver Application

10.11591/ijeecs.v6.i3.pp656-662
A.A Amin , M. S. Islam , A.A.M. Masud , M. N. H. Khan
In present stereo audio system is a most popular audio system for different purposes. Now a day’s stereo system is commonly used in communication and other purposes. Moreover Normalized Least Mean Square (NLMS) based adaptive filtering is an effective filtering process in case of communication and other applications. However adaptive filtering is an adaptive filter process to cancel out the noise from audio signal successfully. Hence the main objective of this paper is to design a NLMS adaptive filter which cancels out the noise from a noisy wave format stereo audio file. Moreover by varying the order of the adaptive filter (such as 8th, 16th, 32th and 64th), the performance of the NMLS adaptive filtered signal with respect to reference and noisy stereo audio signal are analyzed as well.
Volume: 6
Issue: 3
Page: 656-662
Publish at: 2017-06-01

Rhetorical Sentence Classification for Automatic Title Generation in Scientific Article

10.12928/telkomnika.v15i2.4061
Jan Wira Gotama; Institut Teknologi Bandung Putra , Masayu Leylia; Institut Teknologi Bandung Khodra
In this paper, we proposed a work onrhetorical corpus construction andsentence classification model experiment that specifically could be incorporated in automatic paper title generation task for scientific article. Rhetorical classification is treated as sequence labeling. Rhetorical sentence classification model is useful in task which considers document’s discourse structure. We performed experiments using two domains of datasets: computer science (CS dataset), and chemistry (GaN dataset). We evaluated the models using 10-fold-cross validation (0.70-0.79 weighted average F-measure) as well as on-the-run (0.30-0.36 error rate at best). We argued that our models performed best when handled using SMOTE filter for imbalanced data
Volume: 15
Issue: 2
Page: 656-664
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

The Humidity Dependence of Pentacene Organic Metal-Oxide- Semiconductor Field Effect Transistor

10.12928/telkomnika.v15i2.5834
Fadliondi; Universitas Muhammadiyah Jakarta Fadliondi , Muhammad Kunta; Tokyo Institute of Technology Biddinika , Shun-ichiro; Tokyo Institute of Technology Ohmi
Metal-oxide-semiconductor field-effect transistors (MOSFET) were fabricated using organic semiconductor pentacene. The humidity dependence of drain current gate voltage (ID-VG) characteristic and drain current drain voltage characteristic (ID-VD) will be explained. Firstly, the thermal oxidation method was used to grow SiO2 gate insulator with thickness of 11 nm. Secondly, the thermal evaporation method was used to form Au source and drain electrodes with thickness of 28 nm. The channel width and length of the transistors were 500 mm and 200 mm, respectively. By the same method, organic semiconductor material pentacene was deposited with thickness of 50 nm at vacuum of 7.8x10-6 Torr. The hole mobility decreased from 0.035 cm2/(Vs) to 0.006 cm2/(Vs), while the threshold voltage increased from 0.5 V to 2.5 V and gate leakage current also increased from 5.8x10-10 A to 3.3x10-9 A when the relative humidity increased from 20% to 70%.
Volume: 15
Issue: 2
Page: 578-583
Publish at: 2017-06-01

Performance Evaluation of Cascaded Multilevel STATCOM using Hardware-in-the-Loop (HiL) Test based on Real-Time Digital Simulator (RTDS)

10.12928/telkomnika.v15i2.6325
Lihua; JinCheng College of Sichuan University Li , Lin; State Grid Sichuan Electric Power Research Institute Xu , Yang; University of Electronic Science and Technology of China Han
The cascaded H-bridge multilevel converter topology has been increasingly utilized for reactive power compensation purposes for the medium voltage distribution systems. The static synchronous compensators (STATCOMs) or static var generators (SVGs), are difficult to be tested in the field due to the unpredicted network operation conditons. This paper presents an effective method to test the STATCOM/SVG controllers based on the real-time digital simulator (RTDS), which has the benefit of easy implementation, low cost, online parameter tuning and high efficiency. The experimental results of STATCOM/SVG under steady state and dynamic conditions are presented to verify the proposed approach, which can be widely applied in other grid-interfaced power electronic converters and smart grid applications.
Volume: 15
Issue: 2
Page: 549-553
Publish at: 2017-06-01
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