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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
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Survey on Nano Technology Adel Alfoudery; Abdulrahman Alkandari; Samer Moein
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.pp506-513

Abstract

Recently, Nanotechnology has become a reality of great concerns all over the world, which seeks constitutes serious about expanding the scope of applications and investments of this technique. In this paper, we have introduced nanotechnology, since it has become the first rank among the priorities of scientific research in the world, where the expanded universities, research centers and institutions seek to employ nanotechnology in new products, industries, and technology.  We have discussed types of Nanomaterials in details and focused on the applications that use Nanotechnology. This paper confirms the view of scientists who look at this technique working as a component of the world's future, and a crucial factor that has led and will continue leading the world to a new industrial revolution
A Novel Selective and Sensitive Electrochemical Sensor for Insulin Detection Zulkarnain Zulkarnain; Suprapto Suprapto; Taslim Ersam; Fredy Kurniawan
Indonesian Journal of Electrical Engineering and Computer Science Vol 3, No 3: September 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v3.i3.pp496-502

Abstract

A novel selective and sensitive electrochemical sensor for insulin detection has been fabricated and investigated. The electrochemical sensor was made from a mixture of silica gel, chitosan and nickel hydroxide (Ni(OH)2) nanoparticles, which was mounted on a silver wire and covered by a glass tube (silica gel/chitosan/Ni(OH)2 nanoparticles paste electrode). The sensor was characterized using cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). The anodic and cathodic currents of the silica gel/chitosan paste electrode with Ni(OH)2 are 580 mA and -750 mA, respectively. Without Ni(OH)2, however, the currents are 150 mA and -250 mA, respectively. The sensitivity and limit of detection of the silica gel/chitosan/Ni(OH)2 nanoparticle paste electrode for insulin detection are 5573 × 10­5pA/pMcm2 and 0.25 pM, respectively. The sensor also shows good reproducibility of measurement for 35 days with an RSD of 0.29%. The fabricated electrodes also show good reproducibility, with an RSD of 1.39%.
Investigating the Ethernet and Boolean Logic Hetty Rohayani; Erick Fernando; Derist Touriano
Indonesian Journal of Electrical Engineering and Computer Science Vol 3, No 1: July 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v3.i1.pp194-199

Abstract

Write-ahead logging to work. After years of research that are typical in Moore's Law, validate multi-processor investigation, which embodies the principles of intuitive machine learning. Our focus in this paper is not on whether a symmetric encryption can be made metamorphic, probabilistic, adaptive, efficient wearable, and interposable, but rather the introduction of new wireless communication (SCHAH). The properties SCHAH highly dependent on the assumptions inherent in our framework; in this section, we consider the methodology which consists of n access point. Implementation of our applications are replicated, symbiosis, and with large scale yangmemiliki full control over homegrown database, as may be necessary in order to control and access points are not compatible. A collection of shell scripts contains about 85 x86 assembly instructions. Where the engine and is fully compliant courseware follows the sensor network evaluation, although SCHAH not able to give a lot of kernel at a time. 
Error Model and Accuracy Calibration of 5-Axis Machine Tool Fangyu Pan; Ming Li; Jian Yin
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 8: August 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

To improve the machining precision and reduce the geometric errors for 5-axis machinetool, error model and calibration are presented in this paper. Error model is realized by the theory of multi-body system and characteristic matrixes, which can establish the relationship between the cutting tool and the workpiece in theory. The accuracy calibration was difficult to achieve, but by a laser approach-laser interferometer and laser tracker, the errors can be displayed accurately which is benefit for later compensation. DOI: http://dx.doi.org/10.11591/telkomnika.v11i8.3022
Applications of Chaos Sequence in Intelligent Transportation System Yao Zhang; Licai Yang; Haiqing Liu; Lei Wu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Vehicular Ad-Hoc Network (VANET) is an essential technology to improve safety and efficiency of Intelligent Transportation System (ITS), it provides vehicle to vehicle as well as vehicle to roadside unit (RSU) wireless communications, so that on board unit (OBU) located in vehicles can share messages related to road traffic with not only other OBU in the same VANET but also transportation management centre depending on retransmission of RSU. It is very important to detect and transmit real time messages of road traffic condition in VANET. This paper presents two application schemes for VANET based on chaos sequence: traffic flow forecast and vehicle secret communications. The principles of these schemes are introduced separately, and performances are verified by theoretical analysis and simulation. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3270  
DWDM over FSO under the effect of different atmospheric attenuations Heyam Maraha; Kameran Ali Ameen; Ozlam Abdulhakeem Mahmood; Aras Aldawoodi
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.pp1089-1095

Abstract

In optical networks, Dense wavelength division multiplexing (DWDM) has been considered as a promising technique to meet the increasing bandwidth demands. It has been used to increase the capacity of long-haul optical transport systems such as free-space optics (FSO) and optical fiber. However, by applying DWDM over the FSO link, different challenges affect the performance system such as clear air, haze and rain atmospheric attenuations. This paper investigates eleven-channel DWDM over FSO based on the electrical linear equalizer that will improve the performance results at the receiver. The channels operate over (1561.42 nm, 1559.79 nm, 1558.17 nm, 1558.55 nm, 1554.94 nm, 1553.33 nm, 1551.72 nm, 1550.12 nm, 1548.51 nm, 1546.92 and 1545.32 nm) wavelengths that have separated based on the traditional International Telecommunication Union (ITU) grid. In the experiments, the system transmits 110 Gbit/s for FSO distances 9500 m, 3000 m, and 2500 m in superbly clear air, haze, and heavy haze atmospheric attenuations, respectively. Over different atmospheric attenuations, we evaluated our system performance using BER, eye diagram and the quality factor (Q-Factor). 
Efficient Computer Intrusion Detection Method based on Artificial Bee Colony Optimized Kernel Extreme Learning Machine Zhigang Zhang
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

With continuous development of computer networks, network attacks threat the information security of people’s daily life. For the protection against network intrusion behaviors, it is imperative to search efficient measurements to maintaining network security. Literature review indicates that taking the advantages of neural network, the network intrusion can be efficiently detected and the kernel extreme learning machine (KELM) can provide quick and accurate intrusion detection ability. The only parameter need be determined in KELM is the neuron number of hidden layer. Suitable neuron number will accelerate the training procedure. However, little work has been done to address the optimization of KELM. To address this issue, this paper proposed an effective method that uses the artificial bee colony (ABC) to optimize the KELM. With proper hidden layer neuron number, KELM could enhance the accuracy and speed of the intrusion detection. To verify the proposed method, experimental tests have been implemented in this work. The test result demonstrates that the proposed ABC-KELM can detect the network intrusion efficiently and its performance is superior to unoptimized KELM method. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4400
Based on Multi-Factors Grey Prediction Control for Elevator Velocity Modulation Ye Fei; Jin Ning; Jiming Wang
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

This paper uses the double-factors grey prediction and the fuzzy controller for the elevator car speed control. We introduce double-factors grey control to predict car vibration for elevator speed during the operation. Simulation results show that based on multi-factors gray prediction fuzzy PI control for elevator velocity modulation system closer than simple gray fuzzy PI control elevator speed control system to the actual operation. The control effect of double factors grey fuzzy PI control elevator speed control system is also satisfactory. This paper uses the double-factors grey prediction and the fuzzy controller for the elevator car speed control. We exploit the merit of which not depend on the object model and strong robustness to overcome elevator PMSM parameters drift and nonlinear effects. And we introduce double-factors grey control to predict car vibration for elevator speed during the operation. Simulation results show that based on multi-factors gray prediction fuzzy PI control for elevator velocity modulation system closer than simple gray fuzzy PI control elevator speed control system to the actual operation. The control effect of double factors grey fuzzy PI control elevator speed control system is also satisfactory. DOI: http://dx.doi.org/10.11591/telkomnika.v10i6.1408
Experimental Measurement of Arc Motion and Light Flicker Frequencies in the HID Lamps Amer Lakhdar; Hamouda Messaoud; Benachiba Chellali; Marcus Wolff
Indonesian Journal of Electrical Engineering and Computer Science Vol 6, No 2: May 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v6.i2.pp396-401

Abstract

In order to reduce the electric consumption for high intensity discharge lamps, the use of high frequencies electronic ballasts represents both a solution and many advantages such as the decrease in the congestion and low costs. However, high frequency operation is not regarded as perfectly reliable due to the appearance of acoustic resonances inside the arc tube, which can result in low frequency light flicker and even lamp destruction. Here we experimentally determined light flicker frequencies using a photodiode which detects the light intensity fluctuation for a high intensity discharge lamp of 50W. Additionally, the arc motion frequencies are determined with the aid of a camera. The results obtained are compared with those of a lamp of the same type but with different power (35W).
A Design Consideration for Planar Inverted Fractal Antenna to Minimize Length-Dependent Specific Absorption Rate Akramul Haque; Sheikh Alimur Razi; Nur Mohammad; Md. Shamsul Arifin; Quazi Delwar Hossain
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i3.pp1171-1178

Abstract

This paper presents a numerical solution to minimize electromagnetic radiation from a Planar Inverted Fractal Antenna (PIFA) used in cellular phone. The PIFA is simulated using a semiconductor substrate having a dielectric constant of 3.38. The height of the dielectric substrate is 0.813 mm. The designed antenna is simulated at a broad range of microwave frequency spectrum used in cellular communication. A 50-ohm probe of 0.5 mm radius perpendicular to the ground substrate plate is used as a feeding medium. The antenna performance is evaluated for three different lengths keeping all other parameters constant. Simulation results show that the intended PIFA having a length of 20 mm can be used effectively to reduce the Specific Absorption Rate (SAR) of radiation. Moreover, the reflection coefficient was found to be minimal 0.1569 at 20 mm antenna length which is determined by characteristic impedance relation. Therefore, this investigation of minimizing the radiation absorption can be considered during the implementation phase of various cellular antennas to avoid radiation-related health hazards.

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