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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 9,226 Documents
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Prediction of overcurrent rRelay miscoordination time using artificial neural network S. Karupiah; M. H. Hussain; I Musirin; S.R.A. Rahim
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i1.pp319-326

Abstract

Overcurrent relay plays an important role in the protection of power system. For protection, proper coordination of relays with an appropriate relay settings need to be done. Coordination can be done by selecting an optimal Time Multiplier Setting (TMS) and Plug Setting (PS) considering the fault current at the relay location. Continuous Time Intervals (CTI) must be maintained between primary relay and secondary relay to ensure correct sequential operation of the relays. However, miscoordination can occurs due to secondary relay trips faster than primary relay. This paper presents an approach for predicting overcurrent relay miscoordination time using Artificial Neural Network (ANN) algorithm in MATLAB software. The efficiency of the proposed approach have been tested successfully on 17 bus test system. The simulation results indicated that the ANN Levenber-Maequardt algorithm is capable to predict the miscoordination time occurs between the primary and secondary relay operating time.
Adaptive Neural Network Generalized Predictive Control for Unknown Nonlinear System Lin Niu; Junsheng Li
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

This paper presents an adaptive neural control design for a class of unknown nonlinear systems. Novel state variables and the corresponding transform are introduced, such that the state-feedback control of a pure-feedback system can be viewed as the output-feedback control of a canonical system. An adaptive predictor incorporated with a neural network observer is proposed to obtain the future system states predictions, which are used in the control design to circumvent the input delay and nonlinearities. The proposed predictor, observer and controller are all online implemented, and the closed-loop system stability is guaranteed. The conventional backstepping design and analysis for pure-feedback systems are avoided, which renders the developed scheme simpler in its synthesis and application. Practical guidelines on the control implementation and the parameter design are provided. The applicability in nonlinear system is demonstrated by simulation experiments. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2804 
Proposed study on evaluating and forecasting the resident property value based on specific determinants by case base reasoning and artificial neural network approach Sinan Adnan Diwan
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.pp1467-1473

Abstract

Real estate forecasting has become an integral part of the larger process of business planning and strategic management in real estate sector. This study covers residential estate markets and concentrates on property types, while previous studies that have considered country wide house price indices. There is a gap identified in the literature which need to study correlations between property types within a region or a city and whether they will provide diversification benefits for real estate investors such as risk reduction per unit of returns. This aim of the paper is to propose and develop a computer assisted real estate property price forecasting model. This proposed framework will examine the current uses of artificial intelligence, particularly combining case base reasoning and artificial neural network, in the business-forecasting field and considers suitable applications in real estate. The methodology consists of five phases: 1) Data gathering b) Data cleaning c) ANN Training d) CBR (Case Base Reasoning) similarity retrieval e) Result retrieval. This research will investigate the influence of residential real estate property characteristics on property values (prices) in global context, it revealed a high positive linear correlation between property characteristics and the property market values; an indication that these characteristics reasonably predict property market values. The results of the study will enable Real Estate Professionals to make fair estimates of the market values of residential real estate properties given the features/characteristics of such housing units.
Fractal and Chaos Characteristics in Rock Milled Process Xinxia CUI; Chenxu LUO
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

In order to research the mechanism and to reveal the natural characteristics in rock milled process, the milling load was deemed to be a component of the deterministic nonlinear dissipation system. The characteristic factor model of milling load was built on the basis of time delay method, and the phase-space of milling load was rebuilt. the dimensional phase-type of broken attractor was described. The results indicated that the broken attractor was a fractal set ,which acquired through the scale conversion of phase-space developed by each dimension. The relevant dimension of broken attractor can be as the identification to reflect the change of rock broken mechanism. And the Lyapunov exponential spectrum and the maximum Lyapunov exponent were acquired by confirming the system reconstruction dimension. The chaos phenomenon was existed in the rock milled process, which provides the basis for building the deterministic model of rock milled process. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3448
Laboratory Management Informationization System Design under Network Framework Liu Jin; Deng Wei-Bin; Chen Jia-Jia
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.pp7027-7033

Abstract

Traditional artificial library management mode is exposed to great impact with the coming of network information era. Many shortages such as low library utilization rate, bad data secrecy, and large workload of management restrict the development of traditional artificial lending management. Based on software engineering’s design thought, this paper analyzes the needs in library system; module analysis method is applied to design the four modules of the system: landing, management, maintenance, and setting up. In server - client network framework, this paper designs the whole library informationization system. The whole system improves lending process, reduces workload, enhances safety confidentiality, and strengthens library management.
Reverse Conversion of Signed-Digit Number Systems: Transforming Radix-Complement Output Madhu Sudan Chakraborty; Abhoy Chand Mondal
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 3: December 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i3.pp665-669

Abstract

Although the speed advantage of using signed – digit number systems seemed to have been reduced significantly by reverse conversion owing to the carry – propagation, in this paper, it was shown that if typical reverse conversion algorithms were employed for signed – digit number systems, then no further carry propagation needed to transform the output from radix – complement form to other conventional forms. As a result the instantaneous delay caused by the reverse conversion of signed – digit number systems might be compensated by speed gain at later stages.
Review of Advancements in Multi-tenant Framework in Cloud Computing K Suresh; R Jagadeesh Kannan
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i3.pp1102-1108

Abstract

As the cloud computing is gaining more user base the problem of simultaneously catering computational resources to multitude of users or their application is on rise. It remains a critical problem and pose hindrance in scalability of cloud computing. Thus, in order to layout the proper solution for the mentioned problem; it is necessary to sum up a proper knowledge based of the existing solution, there drawbacks and a detail analysis of its performances. In this study we present a review of multi-tenant frameworks and approaches used in the industry which reaps advantages to facilitate multi-tenancy.
Projective synchronization for 4D hyperchaotic system based on adaptive nonlinear control strategy Zaidoon Sh. Al-Talib; Saad Fawzi AL-Azzawi
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.pp715-722

Abstract

The main purpose of the paper is to projective synchronous chaotic oscillation in the real four-dimensional hyperchaotic model via designing many adaptive nonlinear controllers. Firstly, in view that there are many strategies in the design process of existing controllers, a nonlinear control strategy is considered as one of the important powerful tools for controlling the dynamical systems. The prominent advantage of the nonlinear controller lies in that it deals with known and unknown parameters. Then, the projective synchronize behavior of a four-dimensional hyperchaotic system is analyzed by using the Lyapunov stability theory and positive definite matrix, and the nonlinear control strategy is adopted to synchronize the hyperchaotic system. Finally, the effectiveness and robustness of the designed adaptive nonlinear controller are verified by simulation.
Thermal analysis of a three-phase induction motor based on motor-CAD, flux2D, and matlab Afrah thamer Abdullah; Amer Mejbel Ali
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 1: July 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i1.pp48-55

Abstract

This paper adopted a thermal network method (TNM) based on  Motor-CAD software, and Matlab/SIMULINK, with finite element method (FEM) based on Flux2D software to perform a thermal analysis of a totally enclosed fan-cooled (TEFC), squirrel cage, three-phase induction motor. The thermal analysis is achieved based on a precise knowledge of the test motor geometry, materials, and heat sources (losses). The estimation of heat distribution inside the test motor by this three software is done successfully with a good agreement between its results. The proposed triple-software methodology for this work can be adopted from the motor designer instead of using an experimental test based on a real motor.
Fire Detection Using Multi Criteria Image Processing Technique in Video Sequences Behrouz Memarzadeh; Mohammad Ali Mohammadi
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp136-144

Abstract

Vision-based flame detection has drawn significant attention in the past decade with camera surveillance systems becoming ubiquitous. This paper proposes a multi criterion method to detect fire or flames by processing the video data generated by a high speed camera. Since flame images are special class of images, some of the unique features of a flame may be used to identify flame. There are some differences between flame images and other general images. By using these features we are able to detect fire correctly with least false alarm. In this paper we present an algorithm which can detect fire and reduce number of false alarms by counting number of identified pixels. In the algorithm, we preprocess the images to have better results. So first we adjust the gray level of a flame image according to its statistical distribution to have better processing. After that we try to extract fire features in images. First by using color characteristics, the ratio of red to green, we can identify probable fire-like or fire like pixels. Second, to highlight the regions with high gray level contrast at their edges, we use the extended prewitt filter. We use AND operation on two above processing images to remove unrelated pixels, at last by using flicker frequency, the oscillating change in the number of identified pixels over time is transformed into the frequency domain to complete detection algorithm. Simulation proves the algorithm ability to detect fire in different situations in video sequences.

Page 290 of 923 | Total Record : 9226

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