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30,468 Article Results

Fast Ant Colony Optimization for Clustering

10.11591/ijeecs.v12.i1.pp78-86
Abba Suganda Girsang , Tjeng Wawan Cenggoro , Ko-Wei Huang
Data clustering is popular data analysis approaches, which used to organizing data into sensible clusters based on similarity measure, where data within a cluster are similar to each other but dissimilar to that of another cluster. In the recently, the cluster problem has been proven as NP-hard problem, thus, it can be solved with meta-heuristic algorithms, such as the particle swarm optimization (PSO), genetic algorithm (GA), and ant colony optimization (ACO), respectively. This paper proposes an algorithm called Fast Ant Colony Optimization for Clustering (FACOC) to reduce the computation time of Ant Colony Optimization (ACO) in clustering problem. FACOC is developed by the motivation that a redundant computation is occurred in ACO for clustering. This redundant computation can be cut in order to reduce the computation time of ACO for clustering. The proposed FACOC algorithm was verified on 5 well-known benchmarks. Experimental result shows that by cutting this redundant computation, the computation time can be reduced about 28% while only suffering a small quality degradation.
Volume: 12
Issue: 1
Page: 78-86
Publish at: 2018-10-01

Website Content Analysis Using Clickstream Data and Apriori Algorithm

10.12928/telkomnika.v16i5.7573
Supriyadi; STMIK Kharisma Karawang Supriyadi , Yani; Bogor Agricultural University Nurhadryani , Arif Imam; Bogor Agricultural University Suroso
Clickstream analysis is the process of collecting, analyzing, and reporting data of visited pages by visitor at the time of mouse clicks. Clickstream data are generally stored on a web server in the access.log file including IP Address data, reference pages, and access time. This study aims to analyze clickstream data by converting into the form of a comma sparated value (csv) so that the string inside of it could be grouped and stored in a database. The important information in the database was processed and retrieved by using one of the techniques in web mining called apriori algorithm analysis. Apriori algorithm implementation was done at the time of reading the database and table query analysis on the software developed. Results of this study were the statistics describing the level of access to web pages that were very helpful for web developers to develop web sites.
Volume: 16
Issue: 5
Page: 2118-2126
Publish at: 2018-10-01

Direction of Arrival Using Uniform Circular Array based on 2-D MUSIC Algorithm

10.11591/ijeecs.v12.i1.pp30-37
Mohammed Amine Ihedrane , Seddik Bri
This study presents the conception, simulation, realisation and characterisation of a patch antenna for Wi-Fi. The antenna is designed at the frequency of 2.45 GHz; the dielectric substrate used is FR4_epoxy which has a dielectric permittivity of 4.4.this patch antenna is used to estimate the direction of arrival (DOA) using 2-D Multiple Signal Classification (2-D MUSIC) the case of the proposed  uniform circular arrays (UCA). The comparison between Uniform circular arrays and Uniform Linear arrays (ULA) demonstrate that the proposed structure give better angles resolutions compared to ULAs.
Volume: 12
Issue: 1
Page: 30-37
Publish at: 2018-10-01

A New Configuration of A High Output Voltage 2.45 GHz Rectifier For Wireless Power Transmission Applications

10.12928/telkomnika.v16i5.9707
A.; Hassan 1st University Taybi , A.; Hassan 1st University Tajmouati , J.; Hassan 1st University Zbitou , A.; Hassan 1st University Errkik , M.; Hassan 1st University Latrach , L. El; Microwave Group ESEO Angers Abdellaoui
This work deals with the design, simulation, fabrication and experimentation of a novel 2.45 GHz rectifier for wireless power transmission applications. We have designed a voltage multiplier topology rectifier including 5 Schottky diodes known by their low threshold. This rectifier could perform a wireless power supply for many cases where the use of batteries or wires is impossible due to many limitations. The circuit was analyzed and optimized with the Harmonic Balance method provided by the Advanced Design System (ADS). Good performances are observed through the simulated results and confirmed by the fabrication tests in terms of RF-DC conversion efficiency, DC output voltage level and matching input impedance.
Volume: 16
Issue: 5
Page: 1939-1946
Publish at: 2018-10-01

Power Cable with Two Joints Experimental Analysis for Defect Assessments

10.11591/ijeecs.v12.i1.pp399-405
Tze Mei Kuan , Azrul Mohd. Ariffin
Time domain reflectometry (TDR) is an easy technique that provides quick response which is ideal for power utility companies to conduct cable diagnostics on-site. Electricity disruption due to power cable failure is a major challenge for power utility companies due to the long length of cable installed with joints. The long time taken to diagnose the defect along the cable before electricity can be restored has not only jeopardized the reputation of power utility companies but also brings losses to the economy. Hence, this study conducts experimental analysis on cable with two joints with the application of TDR technique to reduce the electricity disruption time. This research is divided into two stages where stage 1 conducts experiments on cable with one degraded section while stage 2 looks into cable with two degraded sections. The TDR reflection characteristics are studied from stage 1 experiments and applied to stage 2 experiments to verify the consistency of the TDR reflection characteristics. The cable conditions of stage 2 experiments are predicted using the reflection characteristics from stage 1 observations and are then validated by comparing these predictions with the actual cable configuration. Results obtained from these experiments have proven that the TDR reflection characteristics are consistent and accurate which can be used to sectionalize the degraded cable section. Detail findings of all experiments conducted with the TDR application are discussed in part three of this paper.
Volume: 12
Issue: 1
Page: 399-405
Publish at: 2018-10-01

Subjective-Objective Matching Evaluation Approach for Enhanced Dental Images

10.11591/ijeecs.v12.i1.pp239-245
Siti Arpah Ahmad , Noor Elaiza Abd Khalid , Mohd Nasir Taib , Haslina Taib
Cases of misdiagnosis and variability evaluation among the dentists do happen. The complexity of anatomical structures and the low contrast of the original images are factors that contribute to the problems. Image enhancement is often used to enhance medical images. However, currently limited work has been done in enhancing the dental pathological features. Dentists come from different background in terms of experience, place of study, method of practices and emotional quotient. These are some of the factors that may cause differences in subjective evaluation among dentists. Therefore, this research focused on identifying objective measurements based on dentists’ subjective evaluation on abnormalities’ detection in jaw area. Objective measurement is based on contrast improvement index (CII) and subjective evaluation is derived from dentists’ questionnaire answering. This paper contributes to new knowledge in the initial phase of identifying dental disease characteristics by means of correlation between the subjective and objective evaluation.
Volume: 12
Issue: 1
Page: 239-245
Publish at: 2018-10-01

Arrhythmia Classification Based on Combined Chaotic and Statistical Feature Extraction

10.11591/ijeecs.v12.i1.pp127-136
Jayagopi G , Pushpa S
Obvious information content in Electro cardio graph has become mandatory to reveal the abnormalities in the heart functions. Arrhythmia is commonly seen heart disorder and results in fatal end, if not identified and treated properly within time limits. The straight forward scene in such diagnosis is to detect the salient features from the Electro cardio graph data using signal processing methods followed by proper classification methods.  16 classes of Arrhythmia had been classified in this work by adopting the traditional method of abnormality detection while introducing a novelty in the type of features to be extracted. Lyapunov Exponents, Kolmogorov Sinai Entropy Density, Kolmogorov Sinai Entropy Universality and R-R interval features based on Kurtosis and Skewness had been used to classify the heart beats from the benchmark MIT-Arrhythmia database. Since alternative features had been utilized, common Support Vector Machines based classification could produce an accuracy of 98.95% in the proposed work with just 13 features.
Volume: 12
Issue: 1
Page: 127-136
Publish at: 2018-10-01

Modified Blowfish Algorithm

10.11591/ijeecs.v12.i1.pp38-45
Theda Flare Ginoy Quilala , Ariel M Sison , Ruji P Medina
Cryptography guarantees security in communication through encryption. This paper proposed a modified Blowfish encryption that uses 128-bit block size and 128-bit key to comply with minimum requirements as an encryption standard. The modification retained the original structure for easy migration but utilized two S-boxes to save memory. A derivation was added to prevent symmetry.  The algorithm’s performance was evaluated using time, and avalanche. Upon testing, the modified blowfish is slower with key, encryption, and decryption average of 26.99ms, 1651.83ms, and 2765.04ms compared to blowfish with 21.65ms, 1297.76ms and 2176.59ms due to block size difference. Applying 128-bit block size increases security by decreasing the chances of having duplicate blocks that may leak information. The modified Blowfish is faster compared to Twofish with an encryption and decryption average time of 2418.08ms and 4002.70ms. The added derivation improved the avalanche of the modified blowfish.  Blowfish achieved 47.14% while modified Blowfish attained 52.86%.
Volume: 12
Issue: 1
Page: 38-45
Publish at: 2018-10-01

Optimization of Dempster-Shafer’s Believe Value Using Genetic Algorithm for Identification of Plant Diseases Jatropha Curcas

10.11591/ijeecs.v12.i1.pp61-68
Triando Hamonangan Saragih , Wayan Firdaus Mahmudy , Yusuf Priyo Anggodo
Jatropha curcas is a plant that can be used as a substitute for diesel fuel. Lack of knowledge of farmers and the limited number of experts and extension agents into the problem of dealing with the disease Jatropha curcas plant which resulted in lower quality of Jatropha curcas. Dempster-Shafer method can be a solution for decision making based on previous research. The difference in beliefs of every expert in seeing Jatropha diseases are important because Dempster-Shafer can not solve this problem. Optimization using genetic algorithms can solve this problem. Optimization of belief values using genetic algorithms can improve the accuracy of the results of this system are using Dempster-Shafer. On the results of this system provides the highest system accuracy value, opimization of belief values using genetic algorithms gives a more significant result than the use of Dempster-Shafer only.
Volume: 12
Issue: 1
Page: 61-68
Publish at: 2018-10-01

Discrete Evolutionary Programming for Network Splitting Strategy: Different Mutation Technique

10.11591/ijeecs.v12.i1.pp261-268
N.Z. Saharuddin , Zainal Abidin , H. Mokhlis
Network splitting is performed to prevent the power system network from blackout event during severe cascading failures. This action will split the power system network into few islands by disconnecting the proper transmission lines. It is very important to select the optimal splitting solution (transmission lines to be removed) to ensure that the implementation of network splitting does not cause the system to worsen. Therefore, this paper investigates two different mutation techniques; single-level and three-level mutation, utilized in Discrete Evolutionary Programming (DEP) optimization to find the optimal splitting solution following a critical line outage. Initial cutsets based heuristic technique is employed to help the convergence of the DEP optimization with minimal power flow disruptions as its fitness function. The techniques are validated using the IEEE 30 and IEEE 118-bus system. The results show that three-level mutation technique produces better optimal splitting solution as compared to single mutation technique.
Volume: 12
Issue: 1
Page: 261-268
Publish at: 2018-10-01

Validation of S-parameter Power Cable Joint Model on Two Cable Defect Sections

10.11591/ijeecs.v12.i1.pp282-289
Tze Mei Kuan , Suhaila Sulaiman , Azrul Mohd. Ariffin , Mohd Amjad Ridzuan Radhi
Electricity disruption due to power cable failure is a major challenge to power utility companies worldwide. A technique which provides quick response with accurate result is needed to detect defects along the cable to reduce the disruption time. This paper discusses the application of time domain reflectometry (TDR) technique to identify and locate the defect along a cable. A cable system is modelled in MATLAB/Simulink to replicate the cable configuration with two joints using the scattering parameter (S-parameter). This research studies the fault identification for two degraded sections in a cable by analyzing the reflected signal from the TDR technique. The characteristics of the reflected signal which indicates the defect cable section are discussed in detail in this paper. Results from MATLAB/Simulink simulations are also compared to the experimental results of the same cable configuration. This study shows that the signal reflection characteristics from MATLAB/Simulink simulations are similar to the experimental results. This indicates that the cable model system built using MATLAB/Simulink replicates the actual cable system accurately which can be used for further analysis of cable fault localization.
Volume: 12
Issue: 1
Page: 282-289
Publish at: 2018-10-01

Adaptive Multi-state Millimeter Wave Cell Selection Scheme for 5G communication

10.11591/ijece.v8i5.pp2967-2978
Mothana L Attiah , Azmi Awang Md Isa , Zahriladha Zakaria , Nor Fadzilah Abdullah , Mahamod Ismail , Rosdiadee Nordin
Millimeter wave bands have been introduced as one of the most promising solutions to alleviate the spectrum secrecy in the upcoming future cellular technology (5G) due the enormous amount of raw bandwidth available in these bands. However, the inherent propagation characteristics of mmWave frequencies could impose new challenges i.e. higher path loss, atmospheric absorption, and rain attenuation which in turn increase the outage probability and hence, degrading the overall system performance. Therefore, in this paper, a novel flexible scheme is proposed namely Adaptive Multi-State MmWave Cell Selection (AMSMC-S) through adopting three classes of mmWave base stations, able to operate at various mmWave carrier frequencies (73, 38 and 28 GHz). Two mmWave cellular Grid-Based cell deployment scenarios have been implemented with two inter-site-distances 200 m and 300 m, corresponding to target area of (2.1 km2) and (2.2 km2). The maximum SINR value at the user equipment (UE) is taken in to consideration to enrich the mobile user experience. Numerical results show an improvement of overall system performance, where the outage probability reduced significantly to zero while maintaining an acceptable performance of the 5G systems with approximately more than 50% of the mobile stations with more than 1Gbps data rate. 
Volume: 8
Issue: 5
Page: 2967-2978
Publish at: 2018-10-01

Machine Learning with PySpark - Review

10.11591/ijeecs.v12.i1.pp102-106
Raswitha Bandi , J Amudhavel , R Karthik
A reasonable distributed memory-based Computing system for machine learning is Apache Spark. Spark is being superior in computing when compared with Hadoop. Apache Spark is a quick, simple to use for handling big data that has worked in modules of Machine Learning, streaming SQL, and graph processing. We can apply machine learning algorithms to big data easily, which makes it simple by using Spark and its machine learning library MLlib, even this can be made simpler by using the Python API PySpark. This paper presents the study on how to develop machine learning algorithms in PySpark. 
Volume: 12
Issue: 1
Page: 102-106
Publish at: 2018-10-01

Hexa-band MIMO CPW Bow-tie Aperture Antenna Using Particle Swarm Optimization

10.11591/ijece.v8i5.pp3118-3128
A.K. hamid , W. Obaid
A MIMO hexa-band Bowtie Antenna for Wi-Fi is proposed. The MIMO antenna can operate at six frequency bands: 2.4, 4.4, 6.1, 8.5, 10.25 and 12.8 GHz. The MIMO antenna consists of four loaded bowtie hexa-band antennas having the same structure. Each single antenna element is loaded with six metallic strips as well as interconnected parasitic rectangular components. The presented HFSS simulations will show that the MIMO loaded antenna can operate at six frequency bands including 2.4 GHz by obtaining the return loss results, radiation patterns, and other antenna parameters. It will be shown also that the MIMO bowtie antenna has a very low mutual coupling at all the operating frequencies for the specific loaded metallic strips width which was obtained using Particle Swarm Optimization technique.
Volume: 8
Issue: 5
Page: 3118-3128
Publish at: 2018-10-01

Information System Success Framework based on Interpersonal Conflict Factors

10.11591/ijece.v8i5.pp3740-3746
Mohammed Aboaoga , Mohd Juzaiddin Ab Aziz , Ibrahim Mohamed
Information system success (ISS) has received considerable attention from researchers as it plays an important role in improving the efficiency and productivity of an organization. Several researchers have conducted empirical studies using numerous factors (e.g. organizational, technological, and individual factors) which affect the information system success. However, there are several factors which are related to interpersonal conflict which may affect information system success. The interpersonal conflict is a critical dimension which can greatly influence information system success in a competitive environment such as the financial sector. Therefore, this study introduces a framework to investigate the influence of interpersonal conflict factors on information system success in the Ministry of Finance, Yemen. The study employed a quantitative method which consists of the following steps: survey design, data collection and data analysis. A sample size comprising 130 employees were distributed in the Ministry of Finance, Yemen. Questionnaires were used to collect data from this sample. Data analysis (reliability, validity, correlation and factor analysis) has been carried out using SPSS.  In addition, structural equation modelling (SEM) has been used for evaluation the research model. Based on the experimental results, the findings in this study revealed that the interpersonal factors (interference, disagreement and instability) significantly negatively (at 0.05 level of significance) influence user satisfaction of information system success.
Volume: 8
Issue: 5
Page: 3740-3746
Publish at: 2018-10-01
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