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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
 54   55   56   57   58 
A model of determinants for continuous usage of business intelligence in Malaysian manufacturing organizations using theoretical Ernie Mazuin Mohd Yusof; Mohd Shahizan Othman; Ahmad Rizal Mohd Yusof; Zirawani Baharum
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i3.pp1439-1445

Abstract

Business Intelligence (BI) offered many advantages to organizations adopting the system such as improved decision making and boost organization’s performance. The lack of research on the continuous usage of BI in manufacturing motivates the initiative in this study to have an understanding of the determinants that influenced it. The study proposed a model of individual-related determinants that lead to the continuous usage of BI in manufacturing. A model integrating Unified Theory of Acceptance and Use of Technology (UTAUT) and Information System Continuance Model (ISCM) will be developed. The model will portray 20 hypotheses and 11 determinants leading continuance usage of BI. Data will be collected through survey questionnaires instrument and validated using Structural Equation Modelling (SEM). The result is hoping to show significant relationships between the determinants towards the continuous usage of BI in manufacturing. The study can potentially be used to guide manufacturers and practitioners for considerations in implementing BI in the manufacturing industry. 
Load Characteristics Analysis and Simulation Study of Electric Locomotive Xiangzheng Xu; Qi Chen
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

Electric locomotive is a kind of high power rectifier load, and its load characteristics will have a significant impact to safe, stable and economic operation of power system. This paper mainly analyses load characteristics of harmonic and reactive power for electric locomotive. Simulation model of electric locomotive is set up based on time trigger; it is so better conform to the dynamic characteristics of the electric locomotive. The mathematical model of SS8 electric locomotive is built, using MATLAB simulation software, dynamic simulation of electric locomotive is realized, and dynamic harmonic current and reactive power demand are obtained for traction supply network. The simulation results well reflect the operation situation of electric locomotive. It indicates that the research method of electric locomotive load characteristics is correct and effective. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4428
Research on Mesh Generation Based on B-Rep Model for Virtual Rendering Yuwei Zhang; Yiqi Zhou; Xiaofeng Zhao
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 7: November 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

To meet with the requirement in virtual rendering, an OpenFlight mesh generation method based on B-Rep model is proposed. The bridge construction method, which is flexible for arbitrary multi-loop regions, are employed on model planes. In order to get the closed parametric region for the curved surface, boolean trimming operations between surface grids and boundary poly-lines are implemented efficiently. Due to the node adjustment method, the mesh nodes on the public border are strictly matched, and no cracks are created on the joint of model boundaries. Experiments show that the proposed algorithm is satisfying in controlling the meshing count of the virtual objects. DOI: http://dx.doi.org/10.11591/telkomnika.v10i7.1454
New Approach of the Playfair's Cipher with A Numerical Value of the Keyword Assia Merzoug; Adda Ali-Pacha; Naima Hadj-Said
Indonesian Journal of Electrical Engineering and Computer Science Vol 6, No 3: June 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v6.i3.pp695-703

Abstract

At least during the last five years there has been an explosion of a public academic research in cryptography for Playfair's cipher. We were interested, and we have proposed a method to improve it, to make it safer and more efficient. We have oversized this encryption matrix by 7x7 coefficents and for its filling, we have combined two chaotic maps (the attractor Henon and logistics map). The attractor Henon of dimension 2, determines the intersection of the row and column of the new matrix playfair. The coefficients of this matrix are calculated from logistic map, each value is a single character of the alphabet used. The secret keyword is formed by the initial conditions of the chaotic attractors.
Design and Simulation of the Control System for Inverter-fed Permanent Magnet Synchronous Motor Drive Ramana Pilla; Santukumari Killari; K.B.Madhu Sahu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i3.pp958-967

Abstract

Development in the field of power electronics, cost effective DSP’s and microprocessors have opened a new era in the design and implement modern control strategies for variable speed drives. This paper presents the design of a control system which includes a non-linear controller and observer for inverter fed Permanent Magnet Synchronous Motor (PMSM) Drive. The entire design is carried out by designing of Speed Controller, Non-linear controller (NLC), State feedback controller (SFC), H∞ controller as well as Non-linear full order observer (NFO). The proposed control scheme is extensively simulated under various conditions using MATLAB/Simulink, which shows better performance under all operating conditions for variable speed PMSM drive.
Short-Term Prediction of Wind Power Based on an Improved PSO Neural Network Hong Zhang; Guo Zhao; Lixing Chen; Bailiang Liu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp4973-4980

Abstract

Connecting wind power to the power grid has recently become more common. To better manage and use wind power, its strength must be predicted precisely, which is of great safety and economic significance. In this paper, the short-term power prediction of wind power is based on self-adaptive niche particle swarm optimization (NPSO) in a neural net. Improved PSO adopts the rules of classification and elimination of a niche using a self-adaptive nonlinear mutation operator. Compared with the traditional method of maximum gradient, NPSO can skip a local optimal solution and approach the global optimal solution more easily in practice. Compared with the basic PSO, the number of iterations is reduced when the global optimal solution is obtained. The method proposed in this paper is experimentally shown to be capable of efficient prediction and useful for short-term power prediction.
Micro-ANP Network Protocol Architecture and Simulation Implementation DU Xiujuan; LAN Shenglin; LIU Fan; FENG Zhenxing
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 4: April 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Due to the unique characteristics of underwater sensor network (UWSN), conventional network protocols for terrestrial WSN are unable to satisfy the performance of UWSN. In addition, the limits of energy, CPU and memory of UWSN nodes demand the protocol stack running on them should be simple and efficient. The paper proposed a Micro-ANP protocol architecture model for UWSN, which are three layered including application layer, network-transport layer and physical layer, optimized packet size using three objective functions: packet throughput, energy consumption and resource consumption under Micro-ANP architecture by means of MATLAB, designed and implemented UWSN simulation platform based on Micro-ANP and QualNet software, lay a solid foundation for further research on underwater sensor network. DOI: http://dx.doi.org/10.11591/telkomnika.v11i4.2328
A comparative study on dimensionality reduction between principal component analysis and k-means clustering Norsyela Muhammad Noor Mathivanan; Nor Azura Md.Ghani; Roziah Mohd Janor
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.pp752-758

Abstract

The curse of dimensionality and the empty space phenomenon emerged as a critical problem in text classification. One way of dealing with this problem is applying a feature selection technique before performing a classification model. This technique helps to reduce the time complexity and sometimes increase the classification accuracy. This study introduces a feature selection technique using K-Means clustering to overcome the weaknesses of traditional feature selection technique such as principal component analysis (PCA) that require a lot of time to transform all the inputs data. This proposed technique decides on features to retain based on the significance value of each feature in a cluster. This study found that k-means clustering helps to increase the efficiency of KNN model for a large data set while KNN model without feature selection technique is suitable for a small data set. A comparison between K-Means clustering and PCA as a feature selection technique shows that proposed technique is better than PCA especially in term of computation time. Hence, k-means clustering is found to be helpful in reducing the data dimensionality with less time complexity compared to PCA without affecting the accuracy of KNN model for a high frequency data.
On the performance of coded copper wire systems for G-fast communications Ali Jaber Al-Askery; Ali Mhidi Hammadi
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i3.pp1272-1280

Abstract

This paper aims to investigate the performance of different channel coding techniques over copper wire channels. First, Chen model is used to simulate the copper wire channel model, then the performance of LDPC coded system with DVB-S2 standard is compared to the performance of turbo coded, and convolutional coded systems over wired channels. In addition, the performance of the systems under consideration is further investigated in the presence of impulsive noise (IN) with IN cancellation technique. Matlab simulations are utilized to simulate these systems for different quadrature amplitude modulations (QAM). The results have shown that LDPC coded system with large block length have outperforms the performance of the considered coding techniques.
Cluttered Traffic Distribution in LoRa LPWAN Nur Aishah Bt. Zainal; Mohamed Hadi Habaebi; Israth Chowdhury; Md Rafiqul Islam
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 1: April 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i1.pp214-223

Abstract

Low Power WAN (LPWAN) is a wireless broad area network technology. It is interconnects using only low bandwidth, less power consumption at long range. This technology is operating in unauthorized spectrum which designed for wireless data communication. To have an insight of such long-range technology, this paper evaluates the performance of LoRa radio links under shadowing effect and realistic smart city utilities clutter grid distribution. Such environment is synonymous to residential, industrial and modern urban centers. The focus is to include the effect of shadowing on the radio links while attempting to study the optimum sink node numbers and their locations for maximum sensor node connectivity. Results indicate that the usual unrealistic random node distribution does not reflect actual real-life scenario where many of these sensing nodes follow the built infrastructure around the city of smart buildings. The system is evaluated in terms of connectivity and packet loss ratio.

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