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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
ISSN : 25024752     EISSN : 25024760     DOI : -
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Articles 9,226 Documents
The Non-Destructive Test Method as A Simple Way to Evaluate the Quality Of Metal Core Pcbs for High Power Micro-Assemblies A.V. Sukhanov; A.I Artemova; R.S Litvinenko
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 2: November 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i2.pp281-286

Abstract

The article describes the necessity of an incoming quality control of the delivered power electronics elements especially at the stage of choosing a reliable supplier. In particular, in the field of the metal core PCBs production, there is a need to control not only its heat sink parameters, but also to control the quality of the joint interface of the metal core PCBs. Since the use of poor-quality materials or the violation of the technological process by the manufacturer can lead to the defects in the PCBs structure. Thus it can affect the heat sink efficiency and the reliability of the entire assembly. The article proposes and describes the method of nondestructive incoming quality control of metal core PCBs. This method is based on the use of ultrasonic layer-by-layer scanning for obtaining the internal structure of PCBs. The article presents the results of applying this method for the PCBs of various manufacturers. The data of the structure visualization and the influence of environment temperatures changes were also obtained. The result pictures of the tested samples before and after the thermal circling were obtained to study the possible degradation of the PCBs structure and its parameters.
{Cloud, IoT}-powered smart weather station for microclimate monitoring Mohamed Fazil Mohamed Firdhous; B H Sudantha
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 1: January 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i1.pp508-515

Abstract

Microclimate monitoring is important in many practical situations involving agriculture, archaeology and other environments. Microclimate is defined as the environmental conditions that differs from that of surrounding areas. In certain situations, these different conditions are artificially generated for creating a conducive environment for achieving better results. Environments such as greenhouses and climate controlled beehives require to maintain their environments within close variations for optimum results. Similarly archaeological sites including show caves, frescos and parks get disturbed easily by the changes in their immediate environments. Hence monitoring and managing these environments is a must for the proper maintenance of them. In this paper, the authors present an IoT enabled microclimate monitoring weather station that can be installed anywhere and monitor the required parameters from remotely. The modular design enables the station to be easily modified to suit any environment. The weather station collects and transmit data at fixed intervals to the cloud powered processing system over the mobile communication network . The sensors have been calibrated using the standard calibration methods using conventional devices as references. The results obtained from the prototype shows that the weather station works satisfactorily reading the real environment conditions.
Slice Interpolation for MRI Using Disassemble-Reassemble Method Qinghua Lin; Min Du
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp6190-6197

Abstract

Due to physical limitations inherent in Magnetic resonance image (MRI) scanners, the inter-slice resolution of MRI is coarse. Thus, interpolation is often used to compensate it. MRI corresponds to a thin slice through the human body, and contains all the information in the slice. Based on this characteristic, a novel slice interpolation algorithm using disassemble-reassemble (D-R) method is proposed for doing MRI slice interpolation. The algorithm first disassembles all the information contained in MRI, and then reassembles them under a heuristic approach of neighborhood consistency to get higher inter-slice resolution. Series virtual images that imitate the characteristic of MRI were used to explain the principle of proposed algorithm, and the process of proposed algorithm was derived from detail analysis. Finally, we performed a large number of interpolation experiment and compared the proposed algorithm to several other interpolation techniques. Results show that the proposed algorithm outperforms the other interpolation algorithms, which means the D-R method is more suitable for MRI interpolation.
Edge Steganography for Binary Image Hongxia Wang; Gouxi Chen; Meng Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 5: May 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In order to improve the steganographic robustness of the algorithm in binary images, suppose an new steganographic method which deals with the edge of the binary image using mathematical morphology and combines F5 encoding method to embedded information. Marginalization and reconstruction on binary image by dilation and erosion operations, and tag blocks that can embed information to. Finally embed secret information using F5 algorithm. Through experiments and analysis it comes out the steganographic robustness of the algorithm can be enhanced, and have a small changes on the carrier image quality after embedding information, and also has a good embedding capacity. DOI: http://dx.doi.org/10.11591/telkomnika.v11i5.2557
Wireless Monitoring Prototype for Photovoltaic Parameters A. H. Sabry; W. Z. W. Hasan; MZA Ab. Kadir; M. A. M. Radzi; S. Shafie
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: July 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i1.pp9-17

Abstract

Photovoltaic (PV) parameters monitoring is very important for the implementation and optimum utilization of solar energy as the electricity source. This work proposes a design of simple, cost-efficient, and low consumption wireless PV monitoring system enhanced by a driving software for recording the PV system parameters. The circuit is designed with a minimum number of components to manage four types of sensors to measure four parameters that are essential for real-time analysis and prediction of PV performance. The only pair of XBee RF modules as an active component, while others are passive, includes resistors and capacitors for PV current, and voltage those for signal conditioning, temperature and irradiance sensors were also involved. The paper presents a prototype system for high voltage series-connected PV array in the range (100-310) V and 3 ampere as a maximum current, while the sampling frequency can be configured up to 14 sample/Sec in applications of the short period for data logging for the four channels. The proposed system succeeds in providing real-time monitoring with lower cost and can be extended for more functions such as controlling tracking system and failure diagnosis. Photovoltaic (PV) parameters monitoring is very important for the implementation and optimum utilisation of solar energy as electricity source. This work proposes a design of simple, cost-efficient, and low consumption wireless PV monitoring system enhanced by a driving software for recording the PV system parameters. The circuit is designed with a minimum number of components to manage four types of sensors to measure four parameters that are essential for real-time analysis and prediction of PV performance. Only pair of XBee RF modules as an active components, while othera are passive, includes resistors and capacitors for PV current, and voltage those for signal conditioning, temperature and irradiance sensors were also involved. The paper presents a prototype system for high voltage series connected PV array in the range (100-310) V and 3 ampere as a maximum current, while the sampling frequency can be configured up to 14 sample/Sec in applications of the short period for data logging for the four channels. The proposed system succeeds in providing real-time monitoring with lower cost and can be extended for more functions such as controlling tracking system and failure diagnosis.
Radial Basis Function Network Learning with Modified Backpropagation Algorithm Usman Muhammad Tukur; Siti Mariyam Shamsuddin
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 2: February 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Radial Basis Function Network (RBFN) is a class of Artificial Neural Network (ANN) that was used in many classification problems in science and engineering. Backpropagation (BP) algorithm is a learning algorithm that was widely used in ANN. However, BP has major disadvantages of slow error rate convergence and always easily stuck at the local minima. Hence, Modified BP algorithm was proposed in this study to improve the learning speed of RBFN using discretized data. C programming language was used to develop the program for the proposed method. Performance measurement of the method was conducted and the experimental results indicate that our proposed method performs better in error rate convergence and correct classification compared to the result with continuous dataset. T-test statistical analysis was used to check the significance of the results and most were found to be satisfactorily significant. DOI: http://dx.doi.org/10.11591/telkomnika.v13i2.7032 
Voltage Regulation in a Microgid with Hybrid PV/Wind Energy Joseph Olawole Petinrin; Mohamed Shaaban; J.O. Agbolade
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Autonomous operation of a microgrid system hinges on the efficient combination of various energy resources to maintain self-sustainability of energy supply. Furthermore, it is equally important to coordinate the resources to regulate the microgrid voltage profile. The problem becomes more complicated if these resources have intermittent characteristics such as solar PV and wind turbines. The potential for using energy storage promise to have a major impact on schemes for voltage control in a microgrid. A hybrid Particle Swarm Optimization/Gravitational Search Algorithm (PSOGSA) based approach is used in this paper to contemplate the optimum size and location of energy storage to reduce voltage variations and feeder losses caused by PV/wind energy integrated in a microgrid. Effectiveness of the proposed method is implemented through a quasi-static time sequence analysis over a 24-hourly simulation period on autonomous Microgrid system. The corresponding voltage profile is analyzed under different operating conditions, with high penetration level of PV/wind energy. Test results show that the energy storage causes reduction in system losses and enhances system capability to maintain voltages within the permissible limits. DOI:  http://dx.doi.org/10.11591/telkomnika.v14i3.7905 
On Electricity Spot Price Properties by t-innovation GARCH Model Wang Jin
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The modeling of heteroskedasticities and kurtosises of electricity prices is crucial to forecast the future distribution of electricity prices, to understand the behavior of derivatives pricing and to quantify the risk in electricity markets. A GARCH model with t-innovations, which is solved by maximum likelihood estimation, is proposed. The model can explicitly address the relationship with system loads, seasonalities, heteroskedasticities, and kurtosises of electricity prices. The empirical analysis based on the historical data of the PJM electricity market shows that the system load squares have a significant effect on the average daily electricity prices, there exist volatility clustering and weekly, semi-monthly, monthly, bimonthly, quarterly and semi-annual periods, and the variances and kurtosises of electricity prices manifest clearly time-varying characteristics. The model holds parsimonious scale of estimated parameters, less computational costs, easy to select the orders and high practical application value. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3393
A comprehensive review for optimal placement of phasor measurement unit for network observability Maveeya Baba; Nursyarizal .B.M. Nor; Taib.B. Ibrahim; M.Aman. Sheikh
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i1.pp301-308

Abstract

Real time synchronized phasor measurement in power network is obtained by the improvement in monitoring, control and, protection of the power system. In recent time, the installation ratio of Phasor Measurement Units (PMUs) is constantly increasing for the real time measurement throughout worldwide. The increment in the number of PMU installation is to only focus on the improvement of system state estimation (SE) performance. However, the expensive nature of the metering device requires huge amount of installation cost with the other communication facilities, therefore an optimal placement of PMU is necessary. Different techniques have been designed and used to overcome this matter. The paper presents numerous optimization algorithms such as, Mathematical programming, Heuristic, and Meta-Heuristic techniques which are specially used for the optimization of PMU placement with complete network observability. Furthermore, each PMU technique is explained, and performances are compared for the most appropriate and optimal placement of PMU methods, which can be recommended for a future work to get complete network observability.
Heritage Values Mathematical Model Design of Middle Eastern Railway Architectural Complex Jun ZHANG; Daping LIU; Yao SUN
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Combining the practical situation, this article analyzes the heritagevalue of Middle Eastern Railway buildings in Hengdao Hezi from various perspectives.Research framework is established, including overview, architectural scale andpattern, building components, structure and space,and this paper designs heritagevalues mathmatical model of Chinese Eastern railway architectural complex. By usingAnalytic Hierarchy Process (AHP), research on the quantization and cascadeprotection was also carried out. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.3943

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