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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
 408   409   410   411   412 
Numerical investigation of V shaped three elements resonator for optical closed loop system Iraj Sadegh Amiri; Ahmed Nabih Zaki Rashed
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp1392-1397

Abstract

This study have outlined numerical investigation of V shaped three element resonator. The stability parameter is measured against back mirror curvature radius, back mirror phase angle, focusing length, focusing mirror phase angle, folding range in both S plane and T plane. The stability parameter is changed in positive and negative trend under the operating system parameters. The stability parameter should be optimized in order to achieve high performance efficiency of resonator system. Beam radius variations are also measured versus focusing range, folding range, and back mirror phase angle. It is clear that the negative effects of increasing system parameters on beam radius variation in both S plane and T plane. 
The Harmonic Current Detection Method Based on Improved SVSLMS Algorithm LI Sheng-qing; ZENG Huan-yue; HE Zheng-ping
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Harmonic current detection method plays a very important role in the harmonic compensation effect. This paper presents an improved Sigmoid Variable Step-size Least Mean Square (SVSLMS) harmonic current detecting method based on the analysis of the steady-state error generated by traditional SVSLMS, This method re-define and select the feedback error coefficient, By using a frequency-selective filter for filtering the original feedback error, to reduce the effects of harmonics on detection performance, further improve the response speed and steady precision. Simulation results verify the effectiveness and practicality of this method. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4174 
Electrical production cost of young coconut waste pellet by using mini pellet mill-a feasibility study Norain Idris; Intan Mastura Saadon; Aziean Mohd Azize; Muhammad Zulfattah bin Zakaria
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.pp599-606

Abstract

Biomass from plants, which have lignocellulosic structure have low bulk density of 30 kg/m3, is suitable to be pelletized to increase its specific density (gravity) for easy and inexpensive handling and storage. A new biomass waste material has evolved in interest due to abundant young coconut waste produced from famous young coconut drink and shake business in Melaka, Malaysia. The young coconut pelletization feasibility needs to be verified by firstly assessing its electrical production cost. Therefore, this paper aims to measure the electrical production cost for process involved in young coconut pelletization and analyze its competitiveness against other biomass material from other countries. This is executed by assessing the electrical production cost of three main process in pelletization; crushing, drying and pelleting. The equipments used are coconut crusher, lab-scaled industrial oven and mini pellet mill. The result demonstrates a significantly high electrical production cost, which is MYR141,430/tonne, while other material’s production cost only amounts to couple of Malaysian hundreds. Processes’ efficiency need to be massively improved by using drum drying method and by adding blender after crusher to increase the desired grain size to avoid raw material wastage. Electrical tariff must also be switched from commercial to industrial tariff. 
The Electric Vehicle Lithium Battery Monitoring System Lei Lin; Yuankai Liu; Wang Ping; Fang Hong
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

With the global increase in the number of vehicles, environmental protection and energy issues had become increasingly prominent. People paid more and more attention to the electric vehicle as the future direction of the vehicle, but because the battery technology was relatively backward, it had become the bottleneck in the development of electric vehicles. So in the existing conditions, a perfect battery Monitoring technology had become more and more important. This paper firstly analyzed the characteristics of lithium battery residual capacity and effect factors, then put forward to a set of solutions according to the actual situation. The solution of the lithium battery Monitoring system adopted distributed structure, including detection of voltage, current, temperature and measurement module and the realization of monomer battery equalizer module. Using a single bus device DS2438 produced by DALLAS on the battery voltage, current, temperature, power and other parameters, the system controlled DS2438 by the STC89C52 single-chip in data acquisition. Then it used the algorithm to predict state of charge(SOC) and displayed the battery status in the LCD1602. This solution of the lithium battery Monitoring system  was reliable, economy, strong anti-interference ability. DOI: http://dx.doi.org/10.11591/telkomnika.v11i4.2545
Single-Event-Upset Mitigation Placement and Routing Algorithms for Field-Programmable Gate Arrays Ren Xiaoxi; Wu Chu; Ding Yu
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.pp7422-7429

Abstract

To reduce the effects of single-event upsets (SEUs) on field-programmable gate arrays (FPGAs), we propose anti-VPR, an anti-SEU algorithm. The Anti-VPR algorithm is based on VPR, a popular placement and routing tool. The proposed algorithm optimizes the FPGA place cost function and reduces the occurrence of errors, such as open circuit error and short circuit error, by computing the error propagation probability and node error rate of the Configurable Logic Blocks. The Anti-VPR algorithm is implemented and tested on several MCNC benchmark circuits. Experimental results show that the proposed Anti-VPR algorithm achieves a 36.2% greater reduction of sensitive bits compared with the original VPR algorithm without the need for extra hardware overhead, unlike the traditional TMR approach.
Weed Detection Using Fractal-Based Low Cost Commodity Hardware Raspberry Pi Mohamad Iqbal Suriansyah; Heru Sukoco; Mohamad Solahudin
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 2: May 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i2.pp426-430

Abstract

Conventional weed control system is usually used by spraying herbicides uniformly throughout the land. Excessive use of herbicides on an ongoing basis can produce chemical waste that is harmful to plants and soil. The application of precision agriculture farming in the detection process in order to control weeds using Computer Vision On Farm becomes interesting, but it still has some problems due to computer size and power consumption. Raspberry Pi is one of the minicomputer with low price and low power consumption. Having computing like a desktop computer with the open source Linux operating system can be used for image processing and weed fractal dimension processing using OpenCV library and C programming. This research results the best fractal computation time when performing the image with dimension size of 128 x 128 pixels. It is about 7 milliseconds. Furthermore, the average speed ratio between personal computer and Raspberry Pi is 0.04 times faster. The use of Raspberry Pi is cost and power consumption efficient compared to personal computer.
Timed Behavioral Specification in Globally Asynchronous Locally Synchronous systems Yu Tonglan; Liu Jie; Zhang Juan; Wu Qujing
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

In this paper, we propose a PolGALS language for safety critical GALS(Globally Asynchronous Locally Synchronous) systems. The formal syntax and semantics are given and its compilation and implementation are defined. The language is based on timed CSP(communicating sequential process) style rendezvous between clock domains, aiming at modelling the timed behavioral of safety critical GALS systems. PolGALS is used to design timed behavioral pattern to implement timing requirements, e.g. delay, timeout, deadline, timed interrupt,etc. PolGALS provides a mechanism for implementation of timed behavioral pattern and potential for their formal verification because it is based on a PolGALS model of computation and its formal semantics. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3257
Flower and leaf recognition for plant identification using convolutional neural network Nurul FatihahSahidan; Ahmad Khairi Juha; Norasiah Mohammad; Zaidah Ibrahim
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.pp737-743

Abstract

This paper presents flower and leaf recognition for plant identification using Convolutional Neural Network (CNN). In this study, the performance of CNN for plant identification using images of the leaves, flowers and a combination of both are investigated.  Two publicly available datasets, namely Folio leaf dataset and Flower Recognition dataset, have been used for the training and testing purposes.  CNN has been proven to produce excellent results for object recognition but its performance can still be influenced by the type of images and the number of layers of the CNN architecture.   Experimental results indicate that the utilization of leaf images only arrive to the highest accuracy for plant identification compared to the images of flowers only or the combination of both, that are 98%, 85% and 74%, respectively.
An Interference-Aware Transmission Power Control Scheme for Vehicular On-board Monitoring Wireless Sensor Network Xiaofan Wu; Chun Chen; Jiajun Bu
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 5: September 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

Wireless sensor network (WSN) has been used widely in vehicular on-board monitoring area. In the scenario of vehicular monitoring, the wireless sensor nodes share similar electromagnet environment. This phenomenon can be used by the sending node to infer the receiver’s noise level. Moreover, the sender can decide the transmitting power accordingly. In this paper, we proposed a interference-aware approaching to control the transmission power of nodes in a vehicular on-board monitoring WSN. By making use of the relationship of noise level on the sender side and the receiver side, the sender node can decide the necessary transmitting power to send a packet successfully. Because the packets are sent at high enough transmission power, the Packet Reception Rate (PRR) is improved. At the same time, the network latency caused by communication failure is reduced. DOI: http://dx.doi.org/10.11591/telkomnika.v10i5.1351
Modelling of a Witricity System Using GSSA Method Lan Jian Yu; Tang Houjun; Geng Xin
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

With the rapid development of mobile appliances, wireless power transfer technique has been a hot issue for researchers. A resonant coupled power system called witricity with high efficiency and the middle range transfer distance is presented by MIT. The main circuit of the witricity system acts as a resonant converter operating in high frequency. The converter is a complex time variant and non-linear systems. So, it is difficult to obtain its accurate mathematical models. In this paper, the generalized state-space averaging method is applied to model this converter. With appropriate values for the circuit parameters, numerical results are compared with which in time domain model. The results show that theoretical analysis are well agree with the simulation, and by proposed method the computational time is remarkably reduced. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4525

Page 410 of 920 | Total Record : 9199

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