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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
ISSN : 25024752     EISSN : 25024760     DOI : -
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Articles 9,226 Documents
Study on the Error Transfer of Articulated Arm Coordinate Measuring Machines Guanbin Gao; Wen Wang; Jianjun Zhou
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: February 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The articulated arm coordinate measuring machine (AACMM) is a new type coordinate measuring machine (CMM) base on the linkage structure. The kinematic model of a 6-DOF AACMM with DH method was established, and from the kinematic model the coordinate systems and joint structural parameters of the AACMM are obtained. The Jacobian matrix was deduced by differential transformation from the kinematic model of the AACMM, and according to the Jacobian matrix, the error transfer coefficients of the joint structural parameters were calculated. Then with the calculation results the influence of the joint structural parameters on the measuring accuracy of the AACMM was analyzed, which provides a theoretical basis for calibration, tolerance distribution of the joint parts and components' selection of the AACMM. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.1987
Investigation and Visualization of Query Determine Spatial Pattern in GIS Anto Xavier. A; A. Arivazhagan
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 3: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i3.pp552-554

Abstract

Earth elements are arranged following one or many standards called spatial patterns. Around the globe many elements share normal examples. To find those patterns and dissecting those through a few information visualization strategies can prompt a decent choice supporting framework. Information like area astute populace, schools and healing facilities is gathered from various sources. To store GIS information PostgreSQL and PostGIS is giving a good support and capable database. GIS maps are made utilizing instrument QGIS (Open source) for the visualization reason. To characterize basic example from the given dataset, bunches are framed from populace field. To bunch information OPTICS grouping strategy is utilized. At that point choice tree by data pick up strategy is utilized for the administered learning. To show the outcome open source programming Geo server is utilized. Geo server handle the client questions and show the outcome on the dynamic maps.
Calculating of stress intensity factors of soldered joints with multiple cracks Al Emran Ismail; Saifulnizan Jamian; Kamarul Azhar Kamarudin; Mohd Khir Mohd Nor; Mohd Norihan Ibrahim; Ahmad Mubarak Tajul Arifin; Mohd Fahrul Hassan; Mohd Rasidi Ibrahim; Mohammad Zulafif Rahim
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i1.pp284-289

Abstract

This paper presents the solution of stress intensity factors of multiple cracks at the joint between two materials. Based on the literature survey, there are tremendous number of works found on the study of edge and central cracks. On the other hand, several papers on the multiple cracks can be also be found in open literature. However, the work on multiple cracks with different crack sizes are hard to find. Therefore, this paper focuses to study the crack interaction obtained from different crack sizes. ANSYS APDL is used to model and solve the problems considering the cracks embedded in the plain strain plate under tension stress. There are two important parameters are considered such crack sizes and mechanical mismatches between joint and based materials. Since the crack is symmetrical, only a quarter model is used and verified. Based on the numerical simulation, it is found that two factors are significantly affected the multiple cracks at the joints such as mechanical mismatches and relative crack sizes.
Intelligent Train Operation Models Based on Ensemble Regression Trees DeWang Chen; XiangYu Zeng; GuiWen Jia
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.pp6725-6731

Abstract

Traditional control algorithms in Automatic Train Operation (ATO) system have some drawbacks, such as high energy consumption and low riding comfort. Combined with data mining methods and driving experience, two Intelligent Train Operation (ITO) models for the subway train control are proposed. Firstly the training data set was sorted out and sieved out from the real train operation data set by drivers in Beijing subway line Yizhuang to establish the standard database. By using Classification and Regression Trees (CART) algorithm and Bagging ensemble learning method which base on CART algorithm, two ITO models are dug out to represent the output of controller with limited speed, running time and gradient. In the train control simulation platform, ITO models were compared with the traditional PID (Proportional Integral Derivative) control algorithm of ATO systems. The simulation results indicate the proposed ITO models are better than PID control in energy consumption, riding comfort and switching times of controller’s output. Furthermore, the ITO model with bagging ensemble learning method is better especially in energy consumption and riding comfort.
A New CFAR Detector Based on Automatic Censoring Cell Averaging and Cell Averaging Yuhua Qin; Huili Gong; Ting Liu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 6: June 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

In order to improve the interference immunity of the detector, a new CFAR detector (ACGCA-CFAR) based on automatic censoring cell averaging (ACCA) and cell averaging (CA) is presented in this paper. It takes the greatest value of ACCA and CA local estimation as the noise power estimation. Under swerling II assumption, the analytic expressions of  in homogeneous background are derived. In contrast to other detectors, the ACGCA-CFAR detector has higher detection performance both in homogeneous and nonhomogeneous backgrounds, while the sample sorting time of ACGCA is only quarter that of OS and ACCA. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2686  
Design of power factor meter using internet of things for power factor improvement, remote monitoring and data logging Teddy Surya Gunawan; Muhamad Hadzir Anuar; Mira Kartiwi; Zuriati Janin
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.pp700-709

Abstract

Nowadays, many residential and commercial buildings that used electricity needs to take care the power factor to avoid penalty from the utility companies. A power factor that is close to one provides a good indicator for the overall power quality. Therefore, power factor improvement plays a significant role to reduce electricity consumption and more efficient system operation. In this paper, the design of power factor meter using Internet of Things will be discussed. Voltage and current sensors outputs were interfaced to Arduino, in which the real power and apparent power were calculated to determine the power factor. Results showed the effectiveness of our proposed device in measuring power factor. Moreover, the measured data points were logged in an SD card and can be accessed by computer with Matlab graphical user interface (GUI). In addition, IoT framework analysis for smart meter which can provide power factor improvement, remote monitoring, and data logging was further discussed in this paper.
Automatic Building Process of Self-Closed Modified N-tree Yibing Liu; Xiaodong Zhu; Ying Chen; Yu Li; Ning Deng
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

Some features of prevailed workflow like Petri net and Grid workflow make them cannot adapt to the dynamic operation. So, we proposed a modified N-tree model to control a workflow. Modified N-tree model can remedy some problems exist in these prevailed workflow models. Firstly, we approve the proposed modified N-tree model is self-closed. This feature makes sure that this workflow can accomplish its tasks, when we change nodes of a well-running modified N-tree workflow before or while its execution. It is the prerequisite of dynamic characteristics of modified N-tree model. And, then we give a method to change this tree dynamically based on the self-closed merit. Finally, based on the dynamic characteristics of this model, we give a method to build on this N-tree workflow model automatically by using left root (LR) analysis method proposed by Mr. D.Knuth. This is the most important performance of this model. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3901  
Total Harmonic Distortion at Fault in RLC Load Pankaj Aswal; Suyash Kumar Singh; Niharika Agarwal; Vivek Sharma; Gayatri Sharma
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.pp325-332

Abstract

This paper focuses on the calculation of total harmonic distortion (THD) at various fault situations in case of RLC load. The faults are created by introducing heavy impedance of 1000 ohm, by blowing off the gate pulse at one of the terminals of the mosfet, and by introducing a line to ground fault. The Matlab based simulation has been done to show these effects.
Analysis on the Impact of Renewable Energy to Power System Fault Level A. Z. Adnan; M. E. Yusoff; H. Hashim
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.pp652-657

Abstract

Distributed Generation is generation of electricity from renewable energy resources, located closer to the customers or loads. Installation of Distributed Generation could improve voltage and power quality, mitigate voltage sags, minimize transmission system congestion, and provide more affordable capacity for utilizing renewable energy resources. However, high penetration of Distributed Generation to the existing national grid system may contribute several impacts including fault level, as well as the performance of power system protection. Monitoring of fault level is important in power system protection in order to sustain the health of power system networks. This paper investigates the impact of installing Distributed Generation to power system fault level. Three-phase symmetrical fault is simulated and analyzed for various sizes of distributed generation in IEEE 30 bus system using Power System Simulation for Engineering (PSS/E) software.Distributed Generation is generation of electricity from renewable energy resources, located closer to the customers or loads. Installation of Distributed Generation could improve voltage and power quality, mitigate voltage sags, minimize transmission system congestion, and provide more affordable capacity for utilizing renewable energy resources. However, high penetration of Distributed Generation to the existing national grid system may contribute several impacts including fault level, as well as the performance of power system protection. Monitoring of fault level is important in power system protection in order to sustain the health of power system networks. This paper investigates the impact of installing Distributed Generation to power system fault level. Three-phase symmetrical fault is simulated and analyzed for various sizes of distributed generation in IEEE 30 bus system using Power System Simulation for Engineering (PSS/E) software.
E-PAC: efficient password authentication code based RMPN method and diffie-hellman algorithm Salah H. Abbdal Refish; Salam Waley Shneen
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.pp485-491

Abstract

Users need more efficient and more secure  when they use the Internet. Password authentication code (PAC) is the critical issue in many applications such as web-sites and data base systems etc. In this paper, PAC between two users to confirm authentication between them based two factors has presented.. Two factors is the most good solution in this field. A legitimate user needs to make sure about his partner to ensure their communication.  So, this solution produces two important algorithms, the first one is utilized the Diffie-Hellman which considered the base of this work. The second is routing in message passing networks (RMPN) algorithm which determine the positions of bits which sent to specific party. The overall of this method convincingly to be more secure against both online and offline attacks. This scheme has some advantages such as secrecy of session key, password privacy, and mutual authentication. The performance and security analyses prove that the scheme is very efficient and mathematically immune for attackers.

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