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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 9,199 Documents
 445   446   447   448   449 
Development of MIMO antenna with decoupling structure for ultra-wideband application Muhammad Aslam Hasin; M. T. Ali; Hamizan Yong; Bazilah Baharom; Hadi Jumaat
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 2: November 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i2.pp818-826

Abstract

This paper presents the design of adouble-sided Multiple-Input Multiple-Output (MIMO) antenna with a decoupling structure for Ultra-WideBand (UWB) applications. The proposed antenna consists of four square radiating elements printed on FR-4 substrate with partial slotted ground. The substrate consists of two sides and each side are consisting of two slotted partial ground and two square radiator antennas. The elements of the front side are orthogonal to the elements of the back side because it was to increase the isolation of the antenna. The front and back sides of the substrate were also presented with the decoupling structure to avoid the mutual coupling of each antenna. The results of simulated and measured of the proposed UWB MIMO antenna are observed and analyzed. The objective of the UWB MIMO antenna was achieved that large bandwidth of return loss below than -10 dB from 3.3 GHz to 11GHz with an insertion loss lower than -20 dB within the required frequency band. The proposed MIMO antennas exhibits a nearly Omni-directional radiation pattern with average gain value 4.36 dBi.
Lane Detection Based on Object Segmentation and Piecewise Fitting Chunyang Mu; Xing Ma
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

A lane detection algorithm for complex environment was proposed. It was concerned on selecting candidate lane region by object segmentation. Then redundancy edges were extracted by Sobel operator. Furthermore, candidate lane markers were obtained by threshold selection from the edges. Finally lane markers were detected by piecewise fitting. The proposed algorithm was simulated in MATLAB. Experiments showed that lane markers could be detected correctly. Piecewise linear transformation in preprocessing has enhanced performance of detection while the environment was dim. And limited region of interest helps to identification lane in an appropriate region, which have the effect of enhancement in the speed of operation. Feature-based method is usually affected by intensity of image. Several characteristics of roads need to be considered in further for detection more precisely. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.3240
Spectrum handoff analysis for multiple secondary users in cognitive radio networks Ban Bakhtyar Mahmud Shawkat; Asaad M. Jassim Al-Hindawi; Akram Hatam Shadir
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 1: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i1.pp264-274

Abstract

The cognitive radio network permits secondary users to reach unused spectrum of primary users. In this paper, a mixed preemptive/non-preemptive resume priority M/G/1 queuing model is proposed for characterizing multiple handoff delay and to minimize the extended data delivery time of secondary users that has experienced multiple spectrum handoff during its transmission. The proposed queuing model supports delay-sensitive secondary user applications. The secondary users’ traffic is classified into two priority classes, the highest priority class for delay sensitive services and the lowest priority class for delay insensitive services. Furthermore, the proposed model assigns higher priority for the interrupted secondary users over uninterrupted secondary users for each class of secondary users in order to minimize the handoff delays for secondary users that experience multiple interruptions. Analytical formulas for the average extended data delivery time are derived for two different proactive spectrum handoff strategies (always stay and always change strategies) for both classes of secondary users. Simulation of proposed system model was performed to validate the analytical results and a good agreement was obtained. The performance of the suggested model is assessed and compared with other spectrum handoff models. Numerical results illustrate that the proposed system model outperforms existing models and can reduce the extended data delivery time for the secondary users.
Neural Network Aided Kalman Filtering For Integrated GPS/INS Navigation System Haidong GUO
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Kalman filter (KF) uses measurement updates to correct system states error and to limit the errors in navigation solutions. However, only when the system dynamic and measurement models are correctly defined, and the noise statistics for the process are completely known, KF can optimally estimate a system’s states. Without measurement updates, Kalman filter’s prediction diverges; therefore the performance of an integrated GPS/INS navigation system may degrade rapidly when GPS signals are unavailable. This paper presents a neural network (NN) aided Kalman filtering method to improve navigation solutions of integrated GPS/INS navigation system. In the proposed loosely coupled GPS/INS navigation system, extended KF (EKF) estimates the INS measurement errors, plus position, velocity and attitude errors, and provides precise navigation solutions while GPS signals are available. At the same time, multi-layer NN is trained to map the vehicle manoeuvre with INS prediction errors during each GPS epoch, which is the input of the EKF. During GPS signal blockages, the NN can be used to predict the INS errors for EKF measurement updates, and in this way to improve navigation solutions. The principle of this hybrid method and the NN design are presented. Land vehicle based field test data are processed to evaluate the performance of the proposed method. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2189
A Complete Lattice Lossless Compression Storage Model Zhi Huilai
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

In this paper, a complete lattice lossless compression storage model is proposed to improve the storage efficiency. In order to build the proposed model, first all the upper and lower irreducible elements of the complete lattice are identified respectively, then an isomorphic mapping form the complete lattice to a concept lattice is founded, and finally a matrix is used to store the formal context of the concept lattice. Compared with using adjacent matrix, example and analysis show that the proposed method can improve the storage efficiency of complete lattice. DOI: http://dx.doi.org/10.11591/telkomnika.v12i8.5854 
Multiple-symbol Differential Sphere Decoding for Network Coding Xinqiang Han; Xiaoping Jin; Zhengquan Li; Ruixin Zhu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

In order to shorten 3dB performance gap between the conventional differential detection and correlation detection in network coding, we consider multiple-symbol differential detection (MSDD) for two-way relay channel (TWRC) model. MSDD, which makes use of continuously N symbols to jointly detect N-1 symbols. However, the complexity of the maximum likelihood differential detection increases exponentially with the detection group length and the modulation constellation points. In this paper, we propose multiple-symbol differential sphere decoding (MSDSD) to circumvent this excessive computational complexity. Simulation results show that the combination of MSDSD and differential network coding can not only reduce the computational complexity, but also overcome error platform caused by High-Doppler frequency offset at high signal-to-noise ratio, and obtain the optimum detection performance simultaneously. Hence, MSDSD can be regarded as a low complexity detection algorithm in differential network coding scheme. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3677
Detection of cardiac sounds components: a pilot study Norezmi Jamal; Nabilah Ibrahim; MNAH Sha’abani; Zulkifli Taat
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 3: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i3.pp1330-1337

Abstract

This paper presents a preliminary study related to the detection and identification of cardiac sounds components including first sound (S1), second sound (S2) and murmurs. Detection and identification of cardiac sounds are an important process in automated cardiac sound analysis system in order to automatically diagnose people who are having cardiovascular disorder and determine the existence of murmurs. Sixteen of recorded cardiac sounds (eight normal cardiac sounds, four abnormal cardiac sounds with systole murmur, and four abnormal cardiac sounds with diastole murmur) from PASCAL Classifying Heart Sounds Challenge database were examined for analysis. This work is significant in studying the time and time-frequency based detection of cardiac sounds components characteristics. In time-based analysis, envelope of signal energy was used to do the peak detection of S1, S2 and murmur and also analysis of cardiac cycle, systole and diastole duration. While time-frequency based analysis was used to determine the S1, S2 and murmur frequency range. The findings yield the overall accuracy of envelope-based detection for normal cardiac sound signal at 60.85% while for abnormal cardiac sound signal at 57.24%.
Recognition Based on Metric-optimized Neighborhood Preserving Embedding Bo Chen; Ye Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Face recognition is a biometric technology with great developable potential. It has a great deal of potential applications in public security and information security. To overcome the problem in the high-dimensional face data processing, the k-nearest neighbors is chose by Linear Discriminate Analysis (LDA). A Metric-optimized is proposed for Neighborhood Preserving Embedding (MONPE).MONPE algorithm, with the dimensions of data reduced by LDA, will be reasonable in NPE algorithm. On the other hand, LDA maximizes the between-class scatter and minimizes the within-class scatter, so the neighbors of a sample will have higher possibility to be picked from the same class .With the ORL face database and the Yale database, the recognition rate and run time is compared among NPE, MONPE and CLMONPE. The simulation results show that CLMONPE has obvious advantage in application DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4825 
A new fast efficient non-maximum suppression algorithm based on image segmentation Oday Jasim Al-Furaiji; Nguyen Anh Tuan; Viktar Yurevich Tsviatkou
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 2: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i2.pp1062-1070

Abstract

In this paper, the problem of finding local extrema in grayscale images is considered. The known non-maximum suppression algorithms provide high speed, but only single-pixel extrema are extracted, skipping regions formed by multi-pixel extrema. Morphological algorithms allow toextract all extrema but its maxima and minima are processed separately with high computational complexity by iterative processing based on image reconstruction using image morphological dilation and erosion. In this paper a new fast efficient non-maximum suppression algorithm based on image segmentation and border analysis is proposed. The proposed algorithm considers homogeneous areas, which are formed by multi-pixel extrema and are the local maxima or minima in relation to adjacent areas, eliminating iterative processing of non-extreme pixels and assigning label numbers to local extrema during their search. The proposed algorithm allowed to increase the accuracy of local extremum extraction in comparison with known non-maximum suppression algorithms and reduce the computational complexity and the use of RAM in comparison with the morphological algorithms.
Repetitive Control in the Applications of H-Bridge Active Power Filter Yang Liu; Guojun Tan
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

In order to improve the deficiency of the traditional repetitive control, a novel control method combining dead beat control and repetitive control in series is proposed to improve the dynamic performance of the control system. A low-pass filter on the delay link of repetitive control is added to solve the contradiction between repetitive control stability and steady-state accuracy, while the compensation link is designed with the combination of leading phase and the low-pass filter to reduce the control object by relying on accurate mathematical model. The control method, on the basis of steady state accuracy, improves the relative speed and compensation accuracy. The feasibility of the proposed method is verified by the experimental design. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2838

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