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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
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Techniques of Spectrum and Correlation Characteristics for Ultrasonic Ranging System Tao Gao; Zhen-Jing Yao; Lifeng Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Both the spectrum and correlation characteristics are important in constructing excitation sequences to realize the multichannel ultrasonic sensors working together. For LFM excitation sequence, there should not be too many simultaneously fired ultrasonic sensors, because of the limited available frequency band of the ultrasonic ranging system. The optimized CFM excitation sequences are proposed to trigger multiple-user ultrasonic sensors in this paper. Comparing with the CFM excitation sequences without optimization, the NSGA-II based optimization CFM excitation sequences are more spectrally matched to the ultrasonic ranging system. Moreover, the ultrasonic crosstalk among multichannel sensors of an ultrasonic ranging system can be eliminated. Real experiments using an ultrasonic ranging system consisting of eight-channel SensComp 600 series electrostatic sensors excited with optimized CFM excitation sequences validate the suitability of the proposed method. The idea of optimizing CFM excitation sequences can also be used for the ultrasonic ranging system which has more than eight ultrasonic sensors. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4182 
Perfect Forward Secure ID-based Key Agreement Protocol in Group Communication Pengshuai Qiao
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 10: October 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i10.pp7471-7477

Abstract

Several identity-based key agreement protocols using bilinear pairing have been proposed in recent years and none of them has achieved all required security properties. In this paper, we firstly propose an ID-based one round authenticated group key agreement protocol with bilinear pairings, where all participants can generate the group session key in one round. Based on the intractability of elliptic curve discrete logarithm problem, every user’s private key can be proved to be secure. Also an extended version of one round authenticated group key agreement protocol is given, it provide perfect forward secrecy and avoid key escrow by the Key Generation Center.  Finally, a comprehensive security analysis and a comprehensive security analysis are provided. By comparing with other protocols, the proposed protocol requires lower computation cost.
Power System Design using Firefly Algorithm for Dynamic Stability Enhancement Herlambang Setiadi; Karl O Jones
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 3: March 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v1.i3.pp446-455

Abstract

Utilising additional devices in power systems have been developed by industry. Devices such as a Power System Stabilizer (PSS) and a Superconducting Magnetic Energy Storage (SMES) are commonly employed in industry. This work investigated the coordination of a PSS and SMES applied to a power system to enhance dynamic stability. To obtain optimal coordination, the parameters of the PSS and SMES are tuned using the Firefly Algorithm (FA). The simulation of the power system, PSS, and SMES has been performed using MATLAB and Simulink, and the FA run in Matlab. For testing the small signal stability, the eigenvalue of the system will be investigated, while for dynamic stability the system will be given an external disturbance. The rotor angle and frequency deviation of the power system are compared without a controller, with a PSS and SMES included, and with the PSS and SMES tuned by FA. The simulation results show that the proposed system can improve not only small signal stability (steady state stability) but also dynamic stability.
Learning Techniques for Automatic Test Pattern Generation using Boolean Satisfiability Liu Xin
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Automatic Test Pattern Generation (ATPG) is one of the core problems in testing of digital circuits. ATPG algorithms based on Boolean Satisfiability (SAT) turned out to be very powerful, due to great advances in the performance of satisfiability solvers for propositional logic in the last two decades. SAT-based ATPG clearly outperforms classical approaches especially for hard-to-detect faults. But its inaccessibility of structural information and don’t care, there exists the over-specification problem of input patterns. In this paper we present techniques to delve into an additional layer to make use of structural properties of the circuit and value justification relations to a generic SAT algorithm. It joins binary decision graphs (BDD) and SAT techniques to improve the efficiency of ATPG. It makes a study of inexpensive reconvergent fanout analysis of circuit to gather information on the local signal correlation by using BDD learning, then uses the above learned information to restrict and focus the overall search space of SAT-based ATPG. The learning technique is effective and lightweight. Experimental results show the effectiveness of the approach. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2861
Machine Learning with PySpark - Review Raswitha Bandi; J Amudhavel; R Karthik
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: October 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i1.pp102-106

Abstract

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. 
Effective Feature Set Selection and Centroid Classifier Algorithm for Web Services Discovery Venkatachalam K; Karthikeyan NK
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 2: February 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v5.i2.pp441-450

Abstract

Text preprocessing and document classification plays a vital role in web services discovery. Nearest centroid classifiers were mostly employed in high-dimensional application including genomics. Feature selection is a major problem in all classifiers and in this paper we propose to use an effective feature selection procedure followed by web services discovery through Centroid classifier algorithm. The task here in this problem statement is to effectively assign a document to one or more classes. Besides being simple and robust, the centroid classifier s not effectively used for document classification due to the computational complexity and larger memory requirements. We address these problems through dimensionality reduction and effective feature set selection before training and testing the classifier. Our preliminary experimentation and results shows that the proposed method outperforms other algorithms mentioned in the literature including K-Nearest neighbors, Naive Bayes classifier and Support Vector Machines.
Characterization of concurrent ku band tropospheric scintillation and rain attenuation in Malaysia Ibtihal Fawzi Elshami; Jafri Din; Lam Hong Yin; Ali I Elgayar
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i2.pp956-961

Abstract

Tropospheric scintillation in satellite communication systems operating at frequencies over 10 GHz is a significant impairment, especially in tropical regions, as attenuation affects scintillation dramatically. This work concentrates on tropospheric scintillation in equatorial Johor Bahru, Malaysia, based on a one-year Ku-band propagation measurement study utilising a direct broadcast receiver and an automatic weather station. This study aimed to investigate the relationship between wet scintillation and rain attenuation using experimental measurements. The power spectral analysis has been carried out to determine required cut-off frequency of filtering to separate out rain attenuation and scintillation effects. The results can provide significant information on the fluctuations of wet scintillation at Ku-band earth space link in tropical regions.
Modeling of Maximum Power Point Tracking Controller for Solar Power System Aryuanto Soetedjo
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 3: July 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

In this paper, a Maximum Power Point Tracking (MPPT) controller for solar power system is modeled using MATLAB Simulink. The model consists of PV module, buck converter, and MPPT controller. The contribution of the work is in the modeling of buck converter that allowing the input voltage of the converter, i.e. output voltage of PV is changed by varying the duty cycle, so that the maximum power point could be tracked when the environmental changes. The simulation results show that the developed model performs well in tracking the maximum power point (MPP) of the PV module using Perturb and Observe (P&O) Algorithm. DOI: http://dx.doi.org/10.11591/telkomnika.v10i3.602 
A Hybrid Structured Multistage Wiener Filter for GPS Interference Suppression Qing-Dong Huang; Guang-Yue Lu; Zhi-Qiang Bao; Yong-Zhi Zhai; Sheng-Li Pang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

To suppress the influence of impulsive noise spikes (outliers) from the direction of arrival of the desired GPS signals, a combination of the Householder multistage Wiener filter (HMSWF) and the recently introduced Minimum Module Cascaded Canceller (MMCC) is employed to compose a hybrid structured HMSWF (HS-HMSWF) method. The enhanced algorithm is employed by space-time anti-jamming processing in GPS receiver, with the ability of natural protection against the impulsive noise spikes influence of weights calculation. In space signal processing, it can avoid the zero pitch formed at the direction of target signal, and prevent the desired signal be diminished. Simulation results demonstrated the favorable anti-jamming performance of the proposed algorithm. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3556
Voltage Deviation in Breaker-testing Station Study Using ADPSS Zhenan Zhang; Hua Wang; Qionglin Li; Xiaomeng Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

With the fast development of China power grid, more and more power system devices such as breakers are applied. Breaker testing also becomes very important. At the same time the testing procedure will cause voltage deviation around the breaker-testing station. Big voltage deviation can make severe damage for the power customers. Based on the power system simulation software ADPSS developed by China Electric Power Research Institute (CEPRI), this paper built up the simulation model using the electromechanical-electromagnetic transient hybrid method, and simulated the voltage deviation in a Henan breaker-testing station. The simulation results showed that with the higher testing breaker current level, bigger voltage deviation is caused. Finally this paper suggested a testing breaker current level for the breaker-testing station with Power Quality Criteria. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.5101 

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