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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
 169   170   171   172   173 
An ICVBPNN Algorithm for Time-varying Channel Tracking and Prediction Sufang Li; Mingyan Jiang; Dongfeng Yuan
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.pp5476-5483

Abstract

An improved complex-valued back propagation neural network (ICVBPNN) algorithm is proposed in this paper. In allusion to the defect of gradient descent of traditional complex-valued back propagation network (CVBPNN) algorithm, additive momentum has been introduced. It is used for time-varying channel tracking and prediction in wireless communication system and better application results are acquired. Firstly, with the use of the learning ability of the neural network, the tracking training is started based on the obtained channel state information (CSI), thus the nonlinear channel model is constructed. Secondly, the unknown channel state information is predicted using the ICVBPNN trained model. The simulation results demonstrate that the proposed method has less estimated error, and can track the channel more accurately than the traditional CVBPNN and the Kalman Filter algorithm.
The Frequency Characteristics Simulation of Traveling Wave Thermo-Acoustic Engine Ma Lili; Xia Jiakuan; Guo Tie
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

The frequency characteristics of thermo-acoustic engine mainly depend on the internal working medium and device structure. The linear resonant system is consisted of ironless permanent magnet linear synchronous motor and the resonant spring. Through the analysis of thermo-acoustic power generation system model, the parameters of linear resonant system are determined by building a mathematical model of linear resonant system. Combined with modern control theory and robust control theory, a robust position controller was design. The theoretical analysis and simulation proved that the controller can make the linear resonance system obtain higher frequency response and displacement accuracy. Controller response time and output is more stable, the controller meets the necessary optimal control. The controller is suitable for thermal acoustic generator control system with high reliable and robust quantitative. The designed linear resonance system can well simulate the frequency characteristics of thermo-acoustic engine. DOI: http://dx.doi.org/10.11591/telkomnika.v11i4.2400
Development of English Handwritten Recognition Using Deep Neural Network Teddy Surya Gunawan; Ahmad Fakhrur Razi Mohd Noor; Mira Kartiwi
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 2: May 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i2.pp562-568

Abstract

Due to the advanced in GPU and CPU, in recent years, Deep Neural Network (DNN) becomes popular to be utilized both as feature extraction and classifier. This paper aims to develop offline handwritten recognition system using DNN. First, two popular English digits and letters database, i.e. MNIST and EMNIST, were selected to provide dataset for training and testing phase of DNN. Altogether, there are 10 digits [0-9] and 52 letters [a-z, A-Z]. The proposed DNN used stacked two autoencoder layers and one softmax layer. Recognition accuracy for English digits and letters is 97.7% and 88.8%, respectively. Performance comparison with other structure of neural networks revealed that the weighted average recognition rate for patternnet, feedforwardnet, and proposed DNN were 80.3%, 68.3%, and 90.4%, respectively. It shows that our proposed system is able to recognize handwritten English digits and letters with high accuracy.
Prospective study of power generation from natural resources using hybrid system for remote area M. F. Yaakub; F. H. Mohd Noh; M. F. I. Mohd Zali; M. H. Harun
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.pp642-647

Abstract

Living in the 21st century, electricity has become a need in every society level. However, numbers of the remote area, especially in third world countries still facing difficulty to reach a grid-connected electricity due to various reasons. As such, this paper presents a prospective study of generating an electrical energy that is converted by utilizing natural resources from the sky. It is realized by implementing a hybrid solar-rainwater harvesting system. Combination of 12Vdc 3Watt solar cells and 3.7 Vdc 129mW pico-hydro implemented in the work has given a great yield reaching average 921 milliwatts of energy produced by the natural resources.
A Chaotic System Based Image Encryption Algorithm using Plaintext-related Confusion Yong Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 11: November 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i11.pp7952-7962

Abstract

A new plaintext-related image encryption system based on the hyper-chaotic Lorenz system is proposed in this paper. In the proposed image encryption system, the hyper-chaotic Lorenz system is employed to generate six pseudo-random matrixes, where, two of them use the “add-modulus” operations to carry out the plaintext-unrelated image diffusion, and the other four matrixes are used to confuse the plaintext-related image. In the image confusion, each pixel will swap its location with another pixel, and the target location is determined by some elements in the plain image and the four matrixes. The proposed image encryption system can resist the chosen/known plaintext attacks due to the application of the plaintext-related image confusion in it. The simulation results show that the proposed encryption system also have the characters of fast encryption/decryption speed, large key space, strong key sensitivity, strong plaintext sensitivity, good statistical properties of cipher images, and large information entropy, etc. Thus, the proposed system can be used in practical communications.
Two Wheeled Robot Self Balancing Control Research Ni Dan; Jingfang Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 3: June 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i3.pp617-624

Abstract

According to movement balancing and position control problem of Self Balancing Two Wheeled Robot, a method based on H∞ Robust Control was proposed. We apply it onto the MIMO nonlinear model of robot, and simulated it in the MATLAB environment The simulation results shows that the robot can be balanced in fixed position well by this method, and also it have the ability to anti interference.
The Predictive Control Method of VAV Air Conditioning System Jiejia LI; Xiaofeng LI; Yang CAO
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

Aiming at the characteristics which variable air volume air conditioning system is multi-variable, nonlinear and uncertain system, normal fuzzy neural network is hard to meet the requirements which dynamic control of multi-variable. In this paper, we put forward a recursive neural network predictive control strategy based on wavelet neural network model. Through recursive wavelet neural network predictor on line established controlled object’s mathematical model, and using Elman neural network controller on line corrected information we get, thus to improve control effect. The simulation results show that recursive wavelet neural network predictive control has stronger robustness and adaptive ability, high control precision, better and reliable control effect and other advantages. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3244
Study on Electricity Utilization Rules of Light Sockets in Governmental Office Buildings in Chongqing Yong Ding; Donglin Zhang; Baizhan Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

This paper is based on the energy consumption monitoring platform of the office buildings and large-sized public buildings of the state organs in Chongqing. The writer selected one office building with complete set of data and normal operation as the case building to analyze electricity for lighting sockets in the building and find out the rule and features of electricity utilization. In addition, we selected 5 buildings to demonstrate the rule and compared the results with the standard plants. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4457
Latex Dipping Machine PLC Control and Its Programming Junxi Bi; Yimin Zhang; Yang Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 6: October 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

Latex dipping machine is based on a latex patent products new-production condom and the development of the machine. The latex dipping agencies combined with production condom mechanism. First it realized a 3-dimensional accurate localization system using stepping motors. SIMATIC S7-200 series programmable controller, motion module EM253 and stepping motor are tied in wedlock to realize allocation of 3-dimension of X axis and Y axis and Z axis. Through the PTO pulse of Siemens S7-200 PLC controller and combined with the use of EM253 module, through the mould precise control programming soak glue and roll edge to achieve the control mold of rotation and swinging the uniform distributed latex. And the system has applied successfully in foreign-funded enterprise of Singapore. DOI: http://dx.doi.org/10.11591/telkomnika.v10i6.1447 
Distributed Generation Integration to Grid using Multi-Level CHB Inverter Velishala Ramu; P. Satish Kumar; G. N Sreenivas
Indonesian Journal of Electrical Engineering and Computer Science Vol 7, No 2: August 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v7.i2.pp312-321

Abstract

Environmental conditions, electrical modeling and developments in industries led to new power generation epoch where fat section of power required for load section is fed through extensive induction of distributed resources generally known as distributed generation [DG]. Distributed generation reduces the risk of environmental pollution and distance criterion posed from conventional power generation. This paper presents grid integration scheme of distributed generation using five-level cascaded H-Bridge (CHB) inverter. Reference currents used to produce pulses for switches in CHB are generated using a simple control strategy. Performance of the system was evaluated when only active power is fed from distributed generation to grid and also when both active and reactive powers were fed to grid from distributed generation. Proposed system was developed using MATLAB/SIMULINK software and results are presented.

Page 171 of 920 | Total Record : 9199

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