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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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Chaos-Based Image Encryption Algorithm Using Decomposition Hongyao Deng; Xiuli Song
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

The proposed chaos-based image encryption algorithm consists of four stages: decomposition, shuffle, diffusion and combination. Decomposition is that an original image is decomposed to components according to some rule. The purpose of the shuffle is to mask original organization of the pixels of the image, and the diffusion is to change their values. Combination is not necessary in the sender. To improve the efficiency, the parallel architecture is taken to process the shuffle and diffusion. To enhance the security of the algorithm, firstly, a permutation of the labels is designed. Secondly, two Logistic maps are used in diffusion stage to encrypt the components. One map encrypts the odd rows of the component and another map encrypts the even rows. Experiment results and security analysis demonstrate that the encryption algorithm not only is robust and flexible, but also can withstand common attacks such as statistical attacks and differential attacks. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3018
Necessary Conditions of the Wave Packet Frames with Several Generators Tao Zhao; Xiaoyu Zhou
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 10: October 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i10.pp7059-7069

Abstract

The main goal of this paper is to consider the necessary conditions of wave packet systems to be frames in higher dimensions. The necessary conditions of wave packet frames in higher dimensions with several generators are established, which include the corresponding results of wavelet analysis and Gabor theory as the special cases. The existing results are generalized to the case of several generators and general lattices.
Packet Delay Distribution Model for Investigating Delay of Network Speech Recognition Asril Jarin; Suryadi Suryadi; Kalamullah Ramli
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 1: January 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v5.i1.pp11-18

Abstract

Unlike multimedia streaming applications that require a smooth playback at the client, application of network speech recognition (NSR) that recognizes speech signal in a sentence-by-sentence manner might tolerate an acceptable delay. The acceptable delay is a user-defined time in which the entire sentence data should be received by the server. We proposed a calculation method to investigate the acceptable delay of network speech recognition that employs a speech segmenter to send speech signal sentence-by-sentence over TCP channel to the server. The calculation multiplies the mean packet delay of TCP flow at steady-state with the number of created packets. For validation we implemented a MATLAB program and solved it using 2500 Indonesian speech sentences. The results were then compared with the results of our previous model that used a transient analysis method. It was found that this calculation method is not appropriate due to the transient behavior of the streaming sentences.
Theoretical Analysis and Empirical Comparison of Different Population Initialization Techniques for Evolutionary Algorithms Devika K; Guruswamy Jeyakumar
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: October 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i1.pp87-94

Abstract

Evolutionary Algorithms (EAs) are the potential tools for solving optimization problems. The EAs are the population based algorithms and they search for the optimal solution(s) from an initial set of candidates solutions known as population. This population is to be initialized at first before the evolution of the algorithm starts. There exists different ways to initialize this population. Understanding and choosing the right population initialization technique for the given problem is a difficult task for the researchers and problem solvers. To alleviate this issue, this paper is framed with two objectives. The first objective is to present the details of various Population Initialization (PI) techniques of EAs, for the readers to give brief description of all the PI techniques. The second objective is to present the steps and empirical comparison of the results of two different PI techniques implemented for Differential Evolution (DE) algorithm. Theoretical insights and empirical results of the PI techniques are presented in this paper.
Non-isolated multiple input multilevel output DC-DC converter for hybrid power system Ameen M. Al-Modaffer; Amer A. Chlaihawi; Husam A. Wahhab
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.pp635-643

Abstract

The utilization of multisources of energy in a compact and an effective power system gains an essential role in power electronic industry. As such, the design and simulation of a new non-isolated multiple input multilevel output (MIMLO) DC-DC converter for hybrid power system is presented. The MIMLO DC-DC converter can be integrated in renewable energy, such as fuel cells, wind turbines and photovoltaic arrays etc, to get the best output voltages. The MIMLO DC-DC converter powers the load from renewable energy sources through the independence of the availability of other sources. The proposed topology has been simulated by using MATLAB/Simulink software to testify the performance control operation of the multiple input multilevel output DC-DC converter. The results of the carried-out simulation favor the usage of multi-input voltage, rather than a single input voltage. The MIMLO design has the advantages of a simple configuration, reduced number of switches, fewer components, high efficiency, and high conversion ratio. The multilevel output DC-DC converter provides high voltage transfer with low size inductors, reduction of losses, low stress voltage on switches and diodes. 
Review on mathematical models for the prediction of solar radiation Meenal Rajasekaran; A.Immanuel Selvakumar; E. Rajasekaran
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.pp56-61

Abstract

Global Solar Radiation (GSR) data is important for all solar energy based applications, mainly to forecast the output power of solar PV system in case of renewable energy integration in to the existing grid. The solar radiation components are measured using pyranometer, solarimeter, pyroheliometer and so on. It is not practically possible to install this radiation measuring instruments at all the locations due to the cost and difficulty in measurements. Hence the availability of solar radiation data is limited to few meteorological stations especially in the developing country like India. Therefore, it is necessary to develop mathematical models to predict the solar radiation to eliminate the costly pyranometer. In this paper, the review of mathematical models using trigonometric functions for the prediction of global solar radiation is presented. The mathematical models are applicable wherever the radiation data is unavailable. From the review results, it is concluded that mathematical model with both sine and cosine wave equation gives good prediction accuracy with correlation coefficient of 0.95
Digital Image Based Identification of Rice Variety Using Image Processing and Neural Network Lilik Sumaryanti; Aina Musdholifah; Sri Hartati
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.pp182-190

Abstract

The increased of consumer concern on the originality of rice  variety and the quality of rice leads to originality certification of rice by existing institutions. Technology helps human to perform evaluations of food grains using images of objects. This study developed a system used as a tool to identify rice varieties. Identification process was performed by analyzing rice images using image processing. The analyzed features for identification consisted of six color features, four morphological features, and two texture features. Classifier used LVQ neural network algorithm. Identification results using a combination of all features gave average accuracy of 70,3% with the highest classification accuracy level of 96,6% for Mentik Wangi and the lowest classification accuracy of 30%  for Cilosari.
Autonomy Domain Trust Model in Manufacturing Grid Based on User Trust Agent Junyu Xiao; Zhangwei Yang; Feng Jiang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Trust security is one of the hotspot in manufacturing grid. The paper proposes a trust model to suit for manufacturing grid, based on domain trust model. It manages trust value of grid user from the introducing of user trust agent in autonomy domain. Furthermore, it considers the impact of time decay and the punishment of malicious transactions. The model is effective in reducing the malicious transaction of grid user to improve security of manufacturing grid through analysis and experiment simulation. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3493 
Application of Remote Sensing Axis Line Method in Xiaomiaohong Creek Yan Gu; Ming-jie Gong; Huan Li
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

The traditional researches on evolution of tidal creek have been limited for the reason that precise measured data be required. On the other hand, the Remote Sensing Axis Line method (RSAL) can monitor the evolution of the tidal creek accuratly and promptly. This paper extracted the Axis lines of Xiaomiaohong creek based on one MSS image and six TM images in the period of 1979, 1987, 1989, 1993, 1995, 2003 and 2009 with RSAL and took a further analysis. The results showed that: On the basis of overlaying generated axis line and DEM (digital elevation model) data both acquired in 2003, axis line can be the substitution of the thalweg line because of similar trend and minor deviation of above two kinds of lines, which is revealed that RSAL was serviceable and effective to understand dynamic evolution of tidal creeks quickly and accurately. The upper section of Xiaomiaohong creek was depositing and growing all the time and subordinate braches were gradually disappeared, the south side of middle section possessed relatively stronger hydrodynamic force and much more subordinate branches were developing. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4929
ASIC design of low power-delay product carry pre-computation based multiplier Chaitanya CVS; Sundaresan C; P R Venkateswaran
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 2: February 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i2.pp845-852

Abstract

High speed and efficient multipliers are essential components in today’s computational circuits like digital signal processing, algorithms for cryptography and high performance processors. Invariably, almost all processing units will contain hardware multipliers based on some algorithm that fits the application requirement. Tremendous advances in VLSI technology over the past several years resulted in an increased need for high speed multipliers and compelled the designers to go for trade-offs among speed, power consumption and area. Amongst various methods of multiplication, Vedic multipliers are gaining ground due to their expected improvement in performance. A novel multiplier design for high speed VLSI applications using Urdhva-Tiryagbhyam sutra of Vedic Multiplication has been presented in this paper. The proposed architecture modeled using Verilog HDL, simulated using Cadence NCSIM and synthesized using Cadence RTL Compiler with 65nm TSMC library.The proposed multiplier architecture is compared with the existing multipliers and the results show significant improvement in speed and power dissipation.

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