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31,377 Article Results

Impact of plug-in hybrid electric vehicles on power system with high wind power penetration

10.11591/ijra.v8i2.pp146-154
Mahmoud Essam Harby , Said Elsayed Elmasry , Adel Elsamahy , Luis Marroyo , Javier Marcos
The rising energy independence and environmental concerns are key drivers in the growing popularity of plug-in hybrid electric vehicles (PHEVs). Because of the intermittent nature of the renewable energy sources, this may cause a high-frequency oscillation of the power system. From another aspect, all the PHEVs have in common the batteries, which provide the storage capability that can be effectively harnessed when the vehicles are integrated into the grid. Such a storage capability can effectively integrate wind power into the grid and all indicators signalize that the PHEVs are the most promising technology of the future transportation system. In this paper, different case studies are applied on one area power system to show the effect of the high wind energy penetration on the power system frequency and how the PHEVs can play an effective role in mitigating the power system frequency oscillation and supporting the more penetration of the wind energy into smarter electrical grids. In addition, an advanced controller has been designed to improve the frequency response and to compensate the delay of the system. The designed controller is a genetic algorithm (GA) based PID (proportional-integral-derivative) controller, it has been proposed for tuning optimized PID parameters. The results show that the controller has played an effective role in decreasing the response overshoot and settling time when used with the PHEVs. The used variable load, the thermal power plant parameters, and the wind turbine parameters are the same for the five case studies.
Volume: 8
Issue: 2
Page: 146-154
Publish at: 2019-06-01

Examining the measurement invariance of the teachers' sense of self-efficacy scale in terms of gender

10.11591/ijere.v8i2.18694
Yıldız Burcu Doğan , Huseyin Akar , Mehmet Üstüner
The aim of this research was to analyze the measurement invariance of the "Teachers' Sense of Self-Efficacy Scale," developed by Tschannen-Moran and Hoy, and adapted into Turkish and Turkish culture by Çapa, Çakıroğlu and Sarıkaya, with respect to gender. Turkish version of the scale consists of 24 items and 3 subscales. The scale measures pre-service teachers' and teachers' sense of and belief in self-efficacy for student engagement, classroom management and instructional strategies. Research revealed that the scale is being used by a myriad of researchers. The sample of this study consists of 267 female, 163 male pre-service teachers who participated in the Pedagogical Formation Certificate Traning at Inönü University in the 2017-2018 academic years. First of all, CFA was executed in order to confirm the validity of the scale's current structure for both genders which was confirmed based on the analysis results. Then, MGCFA was executed to analyze the scale's measurement invariance in terms of gender. The results of the MGCFA indicated that the scale has the measurement invariance with respect to gender at each of the stages of strict, metric, scalar and configural invariance.
Volume: 8
Issue: 2
Page: 213-220
Publish at: 2019-06-01

Digital image classification by optimised fuzzy system

10.11591/ijeecs.v14.i3.pp1196-1202
Mehdi Ramezanifard , B. S. Mousavi
Image classification is a challenging problem of computer vision. This study reports a fuzzy system to semantic image classification. As it is a complex task, various information of digital image, including: three color space components and two Zernike moments with different order are gathered and utilized as an input of fuzzy inference system to materialize a robust rotation/lighting condition and size invariant image classifier. For better performance, all the membership functions are optimized by genetic algorithm after empirically design stage. 93.07% and 95.25% classification rates empirically design and optimized systems confirm the reliability of proposed method in different image conditions given in this contribution.
Volume: 14
Issue: 3
Page: 1196-1202
Publish at: 2019-06-01

Development of path planning algorithm of centipede inspired wheeled robot in presence of static and moving obstacles using modified critical-snakebug algorithm

10.11591/ijai.v8.i2.pp95-106
Subir Kumar Das , Ajoy Kumar Dutta , Subir Kumar Debnath
Path planning for a movable robot in real life situation has been widely cultivated and become research interest for last few decades. Biomimetic robots have increased attraction for their capability to develop various kind of walking in order to navigate in different environment. To meet this requirement of natural insect locomotion has enabled the development of composite tiny robots. Almost all insect-scale legged robots take motivation from stiff-body hexapods; though, a different distinctive organism we find in nature is centipede, distinguished by its numerous legs and pliable body. This uniqueness is anticipated to present performance benefits to build robot of the said type in terms of swiftness, steadiness, toughness, and adaptation ability. This paper proposes a local path planning algorithm of multiple rake centipede inspired robot namely ModifiedCritical-SnakeBug (MCSB) algorithm. Algorithm tries to avoid static and dynamic obstacle both. The results demonstrate the capability of the algorithm. 
Volume: 8
Issue: 2
Page: 95-106
Publish at: 2019-06-01

Artificial bee colony algorithm used for load balancing in cloud computing: review

10.11591/ijai.v8.i2.pp156-167
Arif Ullah , Nazri Mohd Nawi , Jamal Uddin , Samad Baseer , Ansam Hadi Rashed
Cloud computing is emerging technology in IT land. But it still faces challenges like load balancing. It is a technique which dynamic distributed work load among various nodes equally in a situation where some nodes are under load and some are overload. Main achievements of load balancing are resource consumption and reduce energy. Swarm intelligence provides an important role in the field of those problems which cannot easily solve and they need classical and mathematical technique. An artificial bee colony is a foraging behavior inspires algorithm it established by karaboga in 2005. It has fast convergence, strong, robustness, and high flexibility. The different researcher used ABC algorithm for improvement in load balancing. This review paper is a comprehensive study about load balancing in cloud computing using ABC algorithm. It also defines some basic concept about swarm intelligent and its property.
Volume: 8
Issue: 2
Page: 156-167
Publish at: 2019-06-01

Single feed circularly polarized crescent-cut and extended corner square microstrip antennas for wireless biotelemetry

10.11591/ijece.v9i3.pp1902-1909
Mehdi Hasan Chowdhury , Quazi Delwar Hossain , Md. Azad Hossain , Ray Chak Chung Cheung
In this paper, the development of two novel circularly polarized microstrip antennas is thoroughly explained. These antennas are fed by coaxial feeding technique. One of the primary objectives of the proposed work is to tune the antennas to work in ISM band. This frequency band refers to the internationally recognized radio frequency bandwidth which is to be used explicitly for Industrial, Scientific, and Medical applications. Therefore, these antennas would be suitable to use in the field of wireless biotelemetry. Two new antenna design techniques have been introduced to produce circular polarization, and details of these schemes are described. The proposed microstrip antennas are designed and simulated on Advanced Design System (ADS) software. The return loss of the proposed crescent-cut antenna is -19.3 dB at the operating frequency. The extended corner antenna has the return loss of -29.3 dB at the tuned frequency. The simulation results are also presented and discussed.
Volume: 9
Issue: 3
Page: 1902-1909
Publish at: 2019-06-01

IoT: smart garbage monitoring using android and real time database

10.12928/telkomnika.v17i3.10121
Riyan Hadi; Telkom University Putra , Feri Teja; Telkom University Kusuma , Tri Nopiani; Telkom University Damayanti , Dadan Nur; Telkom University Ramadan
Every single day, garbage is always produced and sometimes, due to the unbalance between high volume produced and the garbage volume transported to the landfill; it then leads to the buildup. To prevent any negative impact on environment, a system is needed to support the waste management process. Smart Garbage Monitoring System consists of two parts: portable garbage can and monitoring application using android smartphone. The use of ultrasonic sensor, GPS and GSM Module on the garbage can aims to provide the data on the garbage and send it to the real time database, in which the data will be processed by the monitoring application on smartphone to determine the time of garbage transport purposely to prevent any buildup. The system doesn't need a server to process, because the entire process of will be run by android application on a smartphone. Test results showed the capability of the system in monitoring the garbage can with the minimum distance between the wastes by three meters. The information on the height level of garbage can be synchronized in real time to smartphone, with an average delay on the EDGE network of 4.57 seconds, HSPA+ of 4.52 seconds and LTE of 3.85 seconds.
Volume: 17
Issue: 3
Page: 1483-1491
Publish at: 2019-06-01

Adaptive uplink scheduling model for WiMAX network using evolutionary computing model

10.11591/ijeecs.v14.i3.pp1345-1355
Mahesh D S , Chandramouli H , Sanjay R Chitnis
the increased usage of smart phones has led to increase usage an internet based application services. These application requires different quality of service (QoS) and bandwidth requirement. WiMAX is an efficient network to provision high bandwidth connectivity and coverage to end user. To meet QoS requirement the exiting model used adaptive model selection scheme. However, these model induce bandwidth wastage as it does not considers any feedback information for scheduling. This work present an Adaptive Uplink Scheduling (AUS) by optimizing MAC layer using Multi-Objective Genetic Algorithm (MOGA). The MAC scheduler use feedback information from both physical layer and application layer. Further, to meet QoS requirement of application and utilize bandwidth efficiently this paper presented an adaptive modulation selection scheme based on user application requirement using MOGA. Our model provides application level based QoS provisioning for WiMAX network. Experiment are conducted to evaluate performance of AUS over exiting model. The overall result attained shows AUS model attain good performance in term of throughput, successful packet transmission and packet collision.
Volume: 14
Issue: 3
Page: 1345-1355
Publish at: 2019-06-01

Measuring the quality of e-commerce websites using analytical hierarchy process

10.12928/telkomnika.v17i3.12228
Umar Abdul; Institut Teknologi Sepuluh Nopember Aziz , Arif; Institut Teknologi Sepuluh Nopember Wibisono , Amna Shifia; Institut Teknologi Sepuluh Nopember Nisafani
Improving website quality for e-commerce website is indispensable since it affects customer satisfaction. There are several aspects of website quality that should be considered. Unfortunately, what criteria that should be prioritized is still under research. This research aims to identify the priority of website quality criteria and incorporate these criteria to measure the quality of ten e-commerce websites in Indonesia using Analytical Hierarchical Process (AHP). This study interviews two experts to assign priority for each criterion. In the end, this study has found that availability is the uttermost aspect to consider. Furthermore, this study also found that OLX.com is the best Customer-to-Customer (C2C) e-commerce in Indonesia in terms of website quality. This research is useful for any e-commerce technical developer to improve his/her website in twofold: 1) criteria priority to improve the quality of C2C e-commerce websites and 2) website quality ranking of C2C e-commerce.
Volume: 17
Issue: 3
Page: 1202-1208
Publish at: 2019-06-01

Bandwidth enhancement of compact microstrip rectangular antennas for UWB applications

10.12928/telkomnika.v17i3.9184
S.; University Hassan 1st Elajoumi , A.; University Hassan 1st Tajmouati , J.; University Hassan 1st Zbitou , A.; University Hassan 1st Errkik , A. M.; Cantabria University Sanchez , M.; Microwave Group (ESEO) Latrach
In this paper design of microstrip patch antennas are presented for ultra wideband (UWB) applications. The designed antennas have good matching input impedance in a wide frequency band covering the UWB frequency band which is defined by the FCC. The proposed antennas consist of rectangular patch which is fed by 50Ω microstrip line. These antennas are investigated and optimized by using CST microwave studio, they are validated by using another electromagnetic solver HFSS. The proposed antennas are designed and optimized taking into account the optimized of the ground by using Defected Ground Structure (DGS) in order to improve the frequency band of microstrip antenna. Hence, the impedance and surface current of the antenna structures are affected by DGS. As will be seen, the operation bandwidth of the proposed antennas is from 3 to 15 GHz (return loss≤-10 dB), corresponding to wide input impedance bandwidth (133.33%), with stable omnidirectional radiation patterns and important gain. A good agreement has been obtained between simulation and measurement results in term of bandwidth clearly show the validity of the proposed structures. These antennas are useful for UWB applications, may be able to potentially minimize frequency interference from many wireless technologies i.e WLAN, WiMAX. Details of the antennas have been investigated numerically and experimentally.
Volume: 17
Issue: 3
Page: 1559-1568
Publish at: 2019-06-01

A statistical approach on pulmonary tuberculosis detection system based on X-ray image

10.12928/telkomnika.v17i3.10546
Ratnasari Nur; Universitas Muhammadiyah Surakarta Rohmah , Bana; Universitas Muhammadiyah Surakarta Handaga , Nurokhim; Pusat Teknologi Keselamatan dan Metrologi Radiasi Nurokhim , Indah; University of Gadjah Mada Soesanti
This paper presented the research result on the design of pulmonary TB (Tuberculosis) detection systems using a statistical approach. The study aimed to address two problems in detecting pulmonary TB by doctors, especially in remote areas of Indonesia, namely the long waiting time for patients to get the doctor's diagnosis and the doctor's subjectivity. We used hundreds of X-ray images from radiology department of Sardjito Hospital, Yogyakarta, as primary data and thirty data from various sources on the internet as secondary data. Using statistical approach, we exploited statistical image feature from image histogram, examined two statistical methods of PCA and LDA transformation for feature extraction, and two minimum distance classifier in image classification. We also used histogram equalization in the image enhancement process and bicubic interpolation in image segmentation and template making. Test results on primary and secondary data images show the identification accuracy of 94% and 83.3%, respectively.
Volume: 17
Issue: 3
Page: 1474-1482
Publish at: 2019-06-01

Youtube spam detection framework using naïve bayes and logistic regression

10.11591/ijeecs.v14.i3.pp1508-1517
Nur’Ain Maulat Samsudin , Cik Feresa binti Mohd Foozy , Nabilah Alias , Palaniappan Shamala , Nur Fadzilah Othman , Wan Isni Sofiah Wan Din
YouTube has become a popular social media among the users. Due to YouTube popularity, it became a platform for spammer to distribute spam through the comments on YouTube. This has become a concern because spam can lead to phishing attack which the target can be any user that click any malicious link. Spam has its own features that can be analyzed and detected by classification. Hence, enhancement features are proposed to detect YouTube spam. In order to conduct the experiments, a YouTube Spam detection framework that consists of five (5) phases such as data collection, pre-processing, features selection and extraction, classification and detection were developed. This paper, proposed the YouTube detection framework, examined and validate each of the phases by using two types of data mining tool. The features are constructed from analysis by using data collected from YouTube Spam dataset by using Naïve Bayes and Logistic Regression and tested in two different data mining tools which is Weka and Rapid Miner. From the analysis, thirteen (13) features that had been tested on Weka and RapidMiner shows high accuracy, hence is being used throughout the experiment in this research. Result of Naïve Bayes and Logistic Regression run in Weka is slightly higher than RapidMiner. In addition, result of Naïve Bayes is higher than Logistic Regression with 87.21% and 85.29% respectively in Weka. While in RapidMiner there is slightly different of accuracy between Naïve Bayes and Logistic Regression 80.41% and 80.88%. But, precision of Naïve Bayes is higher than Logistic Regression.
Volume: 14
Issue: 3
Page: 1508-1517
Publish at: 2019-06-01

Modified approach for harmonic reduction in three-phase to seven-phase using transformer winding connections

10.11591/ijece.v9i3.pp1496-1505
Mehrdad Ahmadi Kamarposhti , Ashkan Abyar Hosseini
Three phase supply is available in the generating station or grid, were as seven phase supply is required for many industrial applications such as, aerospace, railway and automobile applications. There are different methods in which we can convert 3 to 7 phase using 24-Pulse Converter, Carrier Based PWM Technique, multilevel converter and Multiphase Transformer. The above said methods which are more complicated to design for higher ratings or a pure sine wave will not be obtained or harmonics will be more. For Multiphase power transmission system multiphase transformers are needed. In the multiphase power transmission and multiphase rectifier systems, the number of phase can be designed and developed in multiples of three. Therefore, the variable speed multiphase drive system considered in the literature are mostly of five, seven, nine, eleven, twelve, and fifteen phase. So, there is a need to design and develop special transformer which converts from 3 to 7 phase for different arrangement of input and output. Thus, with the proposed technique, a pure seven-phase sine-wave of fixed voltage/current and frequency is obtained, which can be used for RL load and motor testing purposes. Complete design and simulation of the proposed solution is presented. Analytical calculation and simulation results for RL load is presented in the paper. This model can be simulated by using Orcad simulation software and “SimPowerSystem” block sets of MATLAB/SIMULINK software.
Volume: 9
Issue: 3
Page: 1496-1505
Publish at: 2019-06-01

VRLA battery state of health estimation based on charging time

10.12928/telkomnika.v17i3.12241
Akhmad; Universitas Brawijaya Zainuri , Unggul; Universitas Brawijaya Wibawa , Mochammad; Universitas Brawijaya Rusli , Rini Nur; Universitas Brawijaya Hasanah , Rosihan Arby; Universitas Brawijaya Harahap
Battery state of health (SoH) is an important parameter of the battery’s ability to store and deliver electrical energy. Various methods have been so far developed to calculate the battery SoH, such as through the calculation of battery impedance or battery capacity using Kalman Filter, Fuzzy theory, Probabilistic Neural Network, adaptive hybrid battery model, and Double Unscented Kalman Filtering (D-UKF) algorithm. This paper proposes an approach to estimate the value of battery SoH based on the charging time measurement. The results of observation and measurements showed that a new and used batteries would indicate different charging times. Unhealthy battery tends to have faster charging and discharging time. The undertaken analysis has been focused on finding out the relationship between the battery SoH and the charging time range. To validate the results of this proposed approach, the use of battery capacity method has been considered as comparison. It can be concluded that there is a strong correlation between the two discussed SoH estimation methods, confirming that the proposed method is feasible as an alternative SoH estimation method to the widely known battery capacity method. The correlation between the charging-disharging times of healthy and unhealthy batteries is very prospective to develop a battery charger in the future with a prime advantage of not requiring any sensor for the data acquisition.
Volume: 17
Issue: 3
Page: 1577-1583
Publish at: 2019-06-01

Optimal SVC allocation via symbiotic organisms search for voltage security improvement

10.12928/telkomnika.v17i3.9905
Mohamad Khairuzzaman; Universiti Teknologi MARA Mohamad Zamani , Ismail; Universiti Teknologi MARA Musirin , Sharifah Azma; Universiti Tenaga Nasional Syed Mustaffa , Saiful Izwan; Universiti Teknologi MARA Suliman
It is desirable that a power system operation is in a normal operating condition. However, the increase of load demand in a power system has forced the system to operate near to its stability limit whereby an increase in load poses a threat to the power system security. In solving this issue, optimal reactive power support via SVC allocation in a power system has been proposed. In this paper, Symbiotic Organisms Search (SOS) algorithm is implemented to solve for optimal allocation of SVC in the power system. IEEE 26 Bus Reliability Test System is used as the test system. Comparative studies are also conducted concerning Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) techniques based on several case studies. Based on the result, SOS has proven its superiority by producing higher quality solutions compared to PSO and EP. The results of this study can benefit the power system operators in planning for optimal power system operations.
Volume: 17
Issue: 3
Page: 1267-1274
Publish at: 2019-06-01
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