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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
 56   57   58   59   60 
An Adaptive All-odd transformation Watermark Scheme Qiaomei Ma; Lijun Wu; Jianhong Du; Gouxi Chen; Qiuxiang Yang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Combining discrete wavelet transform, human visual system, chaotic map and odd-even quantization, a novel watermarking scheme for 2D images is proposed in this paper. Encrypted watermarking and identity information are imperceptibly embedded in 2D images according to this scheme. For improving the accuracy of just noticeable distortion and enhance robustness of algorithm, the model adaptively adjusts the threshold intensity by adding weighting factor and strengthening the brightness sensitivity calculation method of just noticeable distortion. The bijection relationship is constructed between the image coefficients and watermarking bits by the way of all-odd transformation to the just noticeable distortion, so the scheme realizes blind extraction of watermark. The experimental results and analysis show that the proposed scheme can resist intentional or unintentional variety of attacks and have superiority comparing with existing schemes. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4228
An Improved Public Key Encryption Algorithm Based on Chebyshev Polynomials Jinhui Sun; Geng Zhao; Xufei Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: February 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper proposes an improved public key encryption algorithm based on Chebyshev polynomials. On the base of the semi-group property of Chebyshev polynomials, we import the alternative multiply coefficientto forge the ciphertext tactfully which can make the cipher text-only aattack out of work. The chosen of is decided by the the value of, and the number of can be chosen as required. Besides, The digital signature of the ciphertext not only can prevent the result from faking and tampering attack, but also  can make the algorithm have the function of identity authentication. Experimental results and performance analyses show that the improved algorithm has much higher security and practical value. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.2035
Codesign Methodology based FPGA and Embedded Linux for Motor Control Ibtihel Jaziri; Lotfi Charaabi; Khaled Jelassi
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 1: January 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i1.pp204-211

Abstract

Recently, the complexity of the embedded electrical systems is increasing due to the growing of industrial necessities. To handle with this complexity, the use of reconfigurable hardware/software codesign methodology using digital platforms becomes necessary. Reconfigurable methodology can be seen as an essential feature in motor control systems as it offers many advantages such as increased flexibility, low energy consumption. In these kind of systems, both hardware and software designs can be reconfigurated depending upon the designer requirements. This paper presents hardware/software codesign methodology with flexible hardware devices and configurable graphical user interface: the hardware architecture is based on field-programmable gate array and the software architecture is based on embedded Linux operating system running on Beaglebone. The user interface is designed as a graphical user interface developed on an emebdded server; this enables the user to access to the system rapidly, parameterize and observe the behavior of the controller.
Augmented reality application for location finder guidance Anatun Nadrah Rosman; Noor Azah Samsudin; Azizan Ismail; Muhammad Syariff Aripin; Shamsul Kamal Ahmad Khalid
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i3.pp1237-1242

Abstract

Finding directions to a specific location can be troublesome especially when we are not familiar with a new area. Conventionally, we may want to ask people around or possibly we use Global Positioning System (GPS) navigator. However, using GPS navigator may not be the best solution if the address is not entered accurately.  Therefore, this paper presents an augmented reality (AR) application for location finder guidance. Instead, a user is only required to scan the address indicated on a surface such as card or flyer using smart phone camera.The proposed application has utilized various components of AR technology including multiple image target, virtual button and markerless features. The development of the AR application follows phases of activities in Multimedia Mobile Content Development (MMCD) model. The proposed application is found to be very interactive and convenient in finding directions to specific location.
Short-term Traffic Flow Prediction Based on Multivariable Phase Space Reconstruction and LSSVM Duo Zhang; Fengqing Han
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.pp6946-6953

Abstract

Real-time and accurate short-term traffic flow prediction is the premise and key of intelligent traffic control and guidance system. According to this problem, this paper put forward a prediction model based on multivariable phase space reconstruction and least squares support vector machine (LSSVM). First, the model confirms embedding dimension and delay time of the traffic flow, occupancy and average speed time series by analyzing their chaotic characteristics, and reconstructs multivariable state space. Second, the phase points obtained after reconstruction are as input, and the last traffic flow parameters came from the following phase points are as output. Finally, the LSSVM which be trained is adapted to realize short-term traffic flow prediction. This research compares this model with a model based on univariate phase space reconstruction and LSSVM, and the results show that the model proposed in this paper predicts better.
Design of Time Synchronization Method for Real-Time EPON Junsuo QU
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

Real-time performance problems are mainly obstacles on Ethernet used in industrial control. In this paper, a RT-EPON concept can be proposed, and the frame structure, the protocol of RT-EPON MAC, and time slot allocation mechanism have been designed. In a test system, the designed Mac protocol and time synchronization method have been tested, it is shown that the RT-EPON system is stable and reliable, and the BER (Bit Error Rate) is below 10-10 on the physical layer of fiber link.DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2079
Synthesis of model predictive controller for an identified model of MIMO process Chenchu Saibabu P; Srinivasan C R
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 2: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i2.pp941-949

Abstract

Model Predictive Controller (MPC) technology has been researched and developed to meet varied demands of need to control industrial power plants and petroleum refineries. This development has paved the way for the MPC technology too many other fields like automotive, aerospace, food processing industries in this paper, primary importance has been paid to the development of a MPC for an identified model of Multiple Input and Multiple Output process. In this paper, a Four Tank System has been considered for generation of input-output data. This data i.e. generated input output data is used for the estimation of two polynomial model, name ARX model (Autoregressive exogenous) model and OE (Output Error) model. With each of model output generated, the Fit-Rates of models are compared to find out most efficient model. The model equations are now considered as plant for developing a Model Predictive Controller (MPC). Two sets of results are obtained after the development of MPC and tested. One is without noise and one is with noise. Both sets of results were a success as the output signals traces step input signals after some steady oscillations in real time with in a very short period of time which indicated a good response time. The MPC developed can be applied to any polynomial model with a good Fit-Rate, it predicts and control the process variables automatically.
Gross Error Elimination Based on the Polynomial Least Square Method in Integrated Monitoring System of Subway Zi-Yu Ma; Da-Wei Li; Fang-Wu Dong
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

The measurement data of parameter in the electrical equipment contains many noises in subway integrated monitoring system. To eliminate the impact of gross error in the measurement data, a polynomial least square curve fitting algorithm is used in this paper. Based on the Rajda criterion, the algorithm gives the variance estimation of the noises, and then uses dynamic threshold to detect and replace the measurement data with gross error by statistical estimation. Finally, a data processing procedure has been presented to deal with the gross error. The practical application indicates that the proposed algorithm can effectively eliminate the gross error in many types of measurement signals so as to ensure the reliability of the monitoring system. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.4145
Microarray Image Analysis Using Genetic Algorithm Bolem Sivalakshmi; N. Naga Malleswara Rao
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.pp561-567

Abstract

Microarray technology allows the simultaneous monitoring of thousands of genes. Based on the gene expression measurements, microarray technology have proven powerful in gene expression profiling for discovering new types of diseases and for predicting the type of a disease. Gridding, segmentation and intensity extraction are the three important steps in microarray image analysis. This paper presents microarray image analysis using Genetic Algorithm. A new algorithm for microarray image contrast enhancement is presented using Genetic Algorithm. Contrast enhancement is crucial step in extracting edge information in image and finally this edge information is used in gridding of microarray image. Mostly segmentation of microarray image is carried out using clustering algorithms. Clustering algorithms have an advantage that they are not restricted to a particular shape and size for the spots. In this paper, segmentation using Genetic Algorithm by optimizing K-means index and Jm measure is presented. The qualitative analysis shows that the proposed method achieves better segmentation results than K-means and FCM algorithms.
Automated Real-Time Vision Quality Inspection Monitoring System N.N.S. Abdul Rahman; N.M. Saad; A.R. Abdullah; M.R.M. Hassan; M.S.S.M Basir; N.S.M. Noor
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i2.pp775-783

Abstract

The requirement of product quality inspection in industries for product standardized leads to a development of the quality inspection system. The problem is related to a manual inspection that is done by a human as an inspector. This paper presents an automated real-time vision quality inspection monitoring system as a problem solver to a manual inspection that is tedious and time-consuming task as well as reducing cost especially in small and medium enterprise industries (SME). For the proposed system, soft drink is used as the test product for quality inspection. The system uses computer-network to inspect two quality inspections which are color concentration and water level. The analysis includes pre-processing, color concentration using the histogram and quadratic distance and level inspection using coordinate vertical and horizontal reference levels. The similarities of both experimental and simulation results are obtained for both parameters which are 100% accuracy using 205 samples.

Page 58 of 918 | Total Record : 9174

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