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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
 212   213   214   215   216 
Forward Position Solution of 3-RPS in-Parallel Manipulator Based on Particle Swarm Optimization Hong Li Zhang; Tiantian Ren
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.pp6758-6763

Abstract

Particle swarm optimization is introduced to solve the problem in this paper. Instead of solving a group of non-linear equations, forward kinematics is solved by computing the extrenum of a function. And accurate solutions can be obtained by the global and local searching abilities of advanced particle swarm optimization. It overcomes the shortage that precision is greatly influenced by initial values with conventional numerical methods. Calculation results show that this new method is simple, convenient, and with generality for solving the parallel manipulator forward kinematics problems.
Rotating Cantilever Beam Dynamic Strain Measurement and Analysis Based on FBG Jiang Xi-Xin
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 6: June 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

The main form of machine’s working principle is rotation. The mechanical properties of rotating component is significant importance to improve the machine’s reliability. In the measurement, the difficult thing is to transmit signals form sensors on a rotor to a stationary part . In this paper, using the FBG’s(Fibre Bragg Gauge)  properties of wireless transmission, author measure the local strains of rotating cantilever beam cantilever by utilizing the strain principle gauge FBG(Fibre Bragg Gauge) and the rotary signal transmit equipment,. The result of analysis showed that rotating cantilever have complicate dynamic phenomenon, dynamic strain not only related to speed but also related to fluid action, the dynamic stiffing phenomenon were observe in the same time. Finally, author offer an improved insight into a strain measurement technique for a rotating mechanical system. The research work could provide an effective way for measuring rotating component’s mechanical properties. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2690
Examination on the physical properties of untreated kenaf insulation paper at different beating degrees Muhammad Umair; Norhafiz Azis; Rasmina Halis; Jasronita Jasni
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.pp759-766

Abstract

This paper examines the physico-mechanical properties of untreated kenaf based insulation paper with consideration on different beating degrees. Kenaf bast fibers were first processed through soda pulping process. Different beating degrees were subjected to the processed pulps. Physical parameters of the paper were measured for each of the beating degrees. It is found that as the beating revolution increases, the kenaf based insulation paper’s density, tensile index and burst index increase while thickness and tear index decrease. 
Research of Image Compression Based on Quantum BP Network Qi-gao Feng; Hao-yu Zhou
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

Quantum Neural Network (QNN), which integrates the characteristics of Artificial Neural Network (ANN) with quantum theory, is a new study field. It takes advantages of ANN and quantum computing and has a high theoretical value and potential applications. Based on quantum neuron model with a quantum input and output quantum and artificial neural network theory, at the same time, QBP algorithm is proposed on the basis of the complex BP algorithm, the network of a 3-layer quantum BP which implements image compression and image reconstruction is built. The simulation results show that QBP can obtain the reconstructed images with better quantity compared with BP in spite of the less learning iterations. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3908
Random Sampling and Signal Bregman Reconstruction Based on Compressed Sensing Guojun Qin; Jingfang Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i2.pp365-372

Abstract

Compressed sensing (CS) sampling is a sampling method which is based on the signal sparse. Much information can be extracted from as little as possible of the data by applying CS and this method is the idea of great theoretical and applied prospects. In the framework of compressed sensing theory, the sampling rate is no longer decided in the bandwidth of the signal, but it depends on the structure and content of the information in the signal. In this paper, the signal is the sparse in the Fourier transform and random sparse sampling is advanced by programing random observation matrix for peak random base. The signal is successfully restored by the use of Bregman algorithm. The signal is described in the transform space, and a theoretical framework is established with a new signal descriptions and processing. By making the case to ensure that the information loss, signal is sampled at much lower than the Nyquist sampling theorem requiring rate,but also the signal is completely restored in high probability. The random sampling has following advantages: alias-free sampling frequency need not obey the Nyquist limit and higher frequency resolution.
Comparison of Chemical Compounds of Essential Oils from Natural Agarwood and Inoculated Agarwood (Roselle-Based Inoculation) N.R.M. Nasardin; M.A.M. Hanafiah; M. Zainon; M. Ibrahim; A.I.A. Rahman; Z.A. Baharudin; M.H.M. Husin; I. Mahir; A.A. Zulkefle
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.pp677-681

Abstract

In this paper, the physical and structural properties of the natural agarwood and inoculated agarwood using Roselle-based inoculation had been discussed. The results showed that a high volume of oil obtained on day 1 by the inoculated agarwood which yielded 3ml of the agarwood oil as compared to the natural agarwood that had yielded only 2.3ml. In the chemical analysis, five major compounds were detected by FTIR which were C-O bond (aromatic alkane), C-C stretching (aromatic alkane), C-O stretching (ether) and C-H bond (aromatic ring) in both oils. Moreover, the inoculated agarwood exhibited better oil production compared to the natural agarwood.
Fuzzy-based voiced-unvoiced segmentation for emotion recognition using spectral feature fusions Yusnita Mohd Ali; Alhan Farhanah Abd Rahim; Emilia Noorsal; Zuhaila Mat Yassin; Nor Fadzilah Mokhtar; Mohamad Helmy Ramlan
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i1.pp196-206

Abstract

Despite abundant growth in automatic emotion recognition system (ERS) studies using various techniques in feature extractions and classifiers, scarce sources found to improve the system via pre-processing techniques. This paper proposed a smart pre-processing stage using fuzzy logic inference system (FIS) based on Mamdani engine and simple time-based features i.e. zero-crossing rate (ZCR) and short-time energy (STE) to initially identify a frame as voiced (V) or unvoiced (UV). Mel-frequency cepstral coefficients (MFCC) and linear prediction coefficients (LPC) were tested with K-nearest neighbours (KNN) classifiers to evaluate the proposed FIS V-UV segmentation. We also introduced two feature fusions of MFCC and LPC with formants to obtain better performance. Experimental results of the proposed system surpassed the conventional ERS which yielded a rise in accuracy rate from 3.7% to 9.0%. The fusion of LPC and formants named as SFF LPC-fmnt indicated a promising result between 1.3% and 5.1% higher accuracy rate than its baseline features in classifying between neutral, angry, happy and sad emotions. The best accuracy rates yielded for male and female speakers were 79.1% and 79.9% respectively using SFF MFCC-fmnt fusion technique.
A High Efficient Association Rule Mining Algorithm based on Intelligent Computation Fengxiang Wu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Abstract—Data mining is to use automated data analysis techniquesto uncover previously undetected relationships among data items. In datamining, association rule mining is a prevalent and well researched method for discovering useful relations between variables inlarge databases. In this paper, we investigate the principle of Apriori, direct hash and pruning and alsostudy the drawback of them. The first is constructing hash table withoutconfliction is theoretically optimal, but it needs consume a lot of memoryspace and space utilization is low. The second is that it does not have hashtree data structure leading to too long insert and search  time. So we propose a new association rule mining algorithm based on differential evolutionarycomputation. Theexperiment results show that our proposed algorithm has better execution timeand accuracy, which can be used in electroniccommerce system. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4810
Parking entrance control using license plate detection and recognition Mohamed Sayed Farag; Mostafa Mohamed Mohie El Din; Hassan Ahmed Elshenbary
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.pp476-483

Abstract

There is no doubt that car parking is a very challenging and interesting topic of surveillance. In the recent years, a lot of smart systems for parking lot access control were developed to control and register the car data. The aim of this paper is to use image processing methods to control the entrance of a smart parking. The steps of car plate recognition are: preprocessing, License plate detection, character extraction and recognition. In the step of preprocessing, image was enhanced and noise was reduced. After preprocessing stage, color filter was used to detect the plate region. In case of large image size DWT was used for feature extraction and decreased the time of the detection stage. In the stage of character segmentation, the image is converted from grayscale to binary according to a given threshold. Filtering the binary image after using the morphological operation method, the largest objects are determined as the segmented plate characters. Finally, the correlation method was used to recognize the segmented characters. In case of similarity, SVM was used as a good classifier. Experimental results using matlab software, view that the proposed method increase the plate detection and recognition rates. It achieved aver- age 97.8% detection rate, 98% segmentation rate and 97% recognition rate, So it will be a good method for smart parking entrance control.
LEC-TMAC: Improving Energy Consumption & Latency in TMAC Protocol for Wireless Body Area Network Shravan Kumar Upadhayay; Mansi Gupta
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i3.pp430-435

Abstract

The most common protocols for Wireless Body Area Network (WBAN) like TMAC, ZigBeeMAC, Baseline MAC protocol .In this paper, evaluating the effects of LEC-TMAC Protocol wireless body area network basis of Latency and energy consumption. This analysis is important in point of view that the varying requirement of WBAN according to varying conditions. In LEC-TMAC, the application packet rate of nodes a considerable effect is observed on latency and energy consumption for MAC protocols that is presented in the paper. As a conclusion, we invoke a number of new research challenges with regard to prospects of Wireless body area network and other issues.

Page 214 of 923 | Total Record : 9226

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