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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
 431   432   433   434   435 
Illumination-robust face recognition based on deep convolutional neural networks architectures Ridha Ilyas Bendjillali; Mohammed Beladgham; Khaled Merit; Abdelmalik Taleb-Ahmed
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 2: May 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i2.pp1015-1027

Abstract

In the last decade, facial recognition techniques are considered the most important fields of research in biometric technology. In this research paper, we present a Face Recognition (FR) system divided into three steps: The Viola-Jones face detection algorithm, facial image enhancement using Modified Contrast Limited Adaptive Histogram Equalization algorithm (M-CLAHE), and feature learning for classification. For learning the features followed by classification we used VGG16, ResNet50 and Inception-v3 Convolutional Neural Networks (CNN) architectures for the proposed system. Our experimental work was performed on the Extended Yale B database and CMU PIE face database. Finally, the comparison with the other methods on both databases shows the robustness and effectiveness of the proposed approach. Where the Inception-v3 architecture has achieved a rate of 99, 44% and 99, 89% respectively.
RBF neural network PID for Bilateral Servo Control System Zhang Jingdong; Wen Guang; Wei Yongqiao; Yin Guofu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Tele-operated bilateral hydraulic servo system with master-slave robot at the core can be complex manipulated in uncertain or extreme environment (such as space, seabed, radicalization, battlefield, etc.). In this paper, a novel force feedback bilateral servo system is presented, based on analysis of bilateral servo system at home and abroad, which adopts tuning PID control algorithm with RBF neural network at the same time. From the simulation results, the novel force feedback bilateral servo system is presented to verify the effectiveness of the proposed control algorithm.The control briefness, fast response, strong robustness, good disturbance rejection capability and good adaptive capability can be obtained.It is also revealed from simulation results that the proposed control algorithm is valid for force feedback bilateral servo system and also provides the theoretical and experimental basis. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3269 
A Hybrid Clustering Algorithm Based on Improved Artificial Fish Swarm Liwei Tian; Lin Tian
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

K-medoids clustering algorithm is used to classify data, but the approach is sensitive to the initial selection of the centers and the divided cluster quality is not high. Basic Artificial Fish Swarm Algorithm is a new type of heuristic swarm intelligence algorithm, but optimization is difficult to get a very high precision due to the randomness of the artificial fish behavior. A novel clustering method based on improved global artificial fish swarm is proposed in this paper by analyzing the advantages and disadvantages of two algorithms, which has the ability to optimize the global clustering effect. The result of the experiment shows that quality of clustering is improved; the optimal central points and the clear division of data groups are obtained by the mathematical model combing improved fish swarm algorithm and K-medoids algorithm. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.5110
Real time FPGA implemnation of SAR radar reconstruction system based on adaptive OMP compressive sensing Eslam Ashraf; Ashraf A. M. Khalaf; Sara M. Hassan
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.pp185-196

Abstract

Synthetic aperture radar (SAR) is an imaging system based on the processing of radar echoes. The produced images have a huge amount of data which will be stored onboard or transmitted as a digital signal to the ground station via downlink to be processed. Therefore, some methods of compression on the raw images provides an attractive option for SAR systems design. One of these techniques which used for image reconstruction is the orthogonal matching pursuit (OMP). OMP is an iterative algorithm which need high computational operations. The computational complexity of the iterative algorithms is high due to updating operations of the measurement vector and large number of iterations that are used to reconstruct the images successfully. This paper presents a new adaptive OMP algorithm to overcome this issue by using certain threshold. The new adaptive OMP algorithm is compared with the classical OMP algorithm using the receiver operating characteristic (ROC) curves. The MATLAB simulations show that the new adaptive OMP algorithm improves the probability of detection at lower SNRs, reduce the computational operations as well as the number of required iterations. FPGA implementation of both the classical OMP and the adaptive OMP algorithm are also presented in this paper.
Multi-objective attendance and management information system using computer application in industry strip Ahmed Hazim Alhilali; Nabeel Salih Ali; Mohammed Falih Kadhim; Basheer Al-Sadawi; Haider Alsharqi
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp371-381

Abstract

Information technology has played a vital factor in a competitive advantage for various business firms recently. Hence, catching up Investment of IT in most of the traditional industries for competitiveness purposes due to the relationship between organizational performance and IT use. In this study, attendanceand management information system (AMIS) was presented in the industry field based on multi-modules. Modules are management information, time- scheduling and attendance, and employee self- service module. The system used VB.NET environment for programming perspective as well MS SQL server for database storage. The system is secure and robust recordkeeping, keep employee up to date via self- service access, easy to use (simplified) and powerful time and attendance, active work schedules to make an employee happy and keep workers in the loop, as well, review and exporting different reports for staff manager, supervisor, and employee such as absence, vacation, time-off, employee wages, and etc.
Mine-Tunnel Design & Monitoring Analysis for Major Faults and Complex Geological Conditions Xiang-dong ZHANG; Shi-xing FAN; Hu-wei ZHANG; Yu ZHANG
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

Mining operations at Nanyang-Slope Coal Mine are considerably challenging. The Nanyang- Slope Coal Field has a complex tectonic structure; having major faults, large fissures and fracture- zones, and great changes in coal-seam thickness. Mine tunnel-way 301 traverses multiple complex faults with developed fractures, broken surrounding rock, and high tectonic stresses. The original rectangular-section tunnel design using anchor-bolt-mesh retainment was prone to rib-spalling, and the problem could not be controlled by use of additional encryption anchors on the tunnel sides. The mud-rock above the tunnel-ceiling is soft and argillized, which expands and softens on contact with water. This caused problems with the epoxy bonding agent failing to effectively secure bolt-anchors to the rock, resulting in anchor-bolt-mesh failure. In consideration of the complex geological conditions, a tunnel construction utilizing a curved wall arch-section and anchor-bolt- mesh-concrete spray was proposed. MJ-40 anchor-rod dynamometers were used to measure the forces in the tunnel rock-anchor bolts; and tunnel-rock deformation and surface displacement was monitored over the course of several weeks using a measuring station. Results show that the construction design effectively lowers the effects of the tectonic stresses on any one part of the tunnel, and demonstrates the safety and reliability of the tunnel-retainment and support design. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2302
Indirect Rotor Field-Oriented Control of Fault-Tolerant Drive System for Three-Phase Induction Motor with Rotor Resistance Estimation Using EKF Mohammad Jannati; N. R. N. Idris; M. J. A. Aziz
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i9.pp6633-6643

Abstract

The performance of an Indirect Rotor Field-Oriented Control (IRFOC) scheme for Induction Motors (IMs) is strongly dependent on the motor parameters especially, rotor resistance. As such, to ensure high performance drive system, the variation of the rotor resistance due to the temperature increase need to be estimated based on the available terminal variables. However, the algorithm used to estimate the rotor resistance for a balanced Three-Phase Induction Motor (TPIM) cannot be used for an open-phase fault IM; this is because the model of a faulty machine is different from the balanced 3-phase machine. In this paper, an IRFOC of fault-tolerant drive system (with stator open-phase fault) for a TPIM with rotor resistance estimation using Extended Kalman Filter (EKF) is proposed. The performance of the EKF based rotor resistance estimator is evaluated under different operating conditions using MATLAB simulation package. The proposed algorithm for estimation of rotor resistance in this paper can be applied to either balanced TPIM or Faulty TPIM (FTPIM). The simulation results showed that the proposed system is able to overcome the rotor resistance variations, load disturbance as well as stator open-phase fault condition, with good tracking capability.
Modeling and Simulation of Pump Storage Based on Indirect Field Oriented Control Othman Hassan Abdalla; Minxiao Han
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper derived the mathematicalmodel of indirect field oriented control (IFOC) applied in pump storage toobtain the variable speed. The two identical seven level H-bridge multilevel converters connected in cascade have been used togenerate 6KV on the rotor side. The inputof power cell of H-bridge cascaded multilevel converter fed from a phase-shifttransformer to reduce the total harmonic distortion of rotor currents. The slip angle of doubly fed asynchronousinduction machine is calculated by using the stator flux of indirect fieldoriented control (IFOC). Theslip angle calculated is used to control of variable speed of the pump storagebased on machine parameters. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3357
Decentralized constrained optimal control of the multimachine power system stability improvement Djibrine Abakar; A A Abouelsoud; Michael Juma Saulo; Simiyu Stanley Sitati
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.pp1172-1183

Abstract

The paper proposes, a decentralized constrained optimal control of the multimachine power system stability. Today’s power network conditions, operating closer to their limits. Alternative Current power grids are more vulnerable and subject to instability than ever before. A three machine power system and four machines, power system connected with a transmission line lossy. Nonlinear controllers are more complex structure and inflexible to be used in practice paralleled with a linear controller. The linearized dynamical equations of the multimachine power system are near to an equilibrium point and it can be stabilized by using a decentralized constrained controller based on optimal control. The feedback controller, which comprises independent control stations receives the measurement data and influences the control input of the machine is only attached to the subsystems. State feedback controller guarantees the closed-loop system is asymptotically stable can guarantee the performance index. It bases designed controlled systems on the algebraic Riccati equations and all its poles are in the closed left half-plane. Decentralized constrained optimal control of the multimachine power system is achieved through simulation of the results. This achievement of results is proposed by improves power system stability.
Process Model and Digitalization of the Coal Gas Outburst Prevention Shao-jie Hou; Yu-wei Zhang; Yuan-ping Cheng
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

Regional coal gas outburst prevention has become the prerequisite of coal mining in the most China underground collieries. It touched on miners’ lives so closely, but especially lacked of digitalization due to the hostile working environment, sightless strata reserves, complicated and long-time workflow. By synthesizing the vital rules issued by China governments and various techniques of coal gas outburst prevention, we proposed a novel process model for them embodied as a logical workflow. The model consisted of two operation links and two judging nodes, and dealt with three types of data. Then an easy-use and practical process data management software system was developed. By testing in Qinan colliery, the system was proved to be fully considering user experience and helpful to promote digitalization of coal gas outburst prevention. Compared with the traditional management, the digitalization might help engineers identify anomalies more quickly and avoid gas accidents in time. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4240

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