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INDONESIA
Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Published by IAES Indonesia Section and Partners
ISSN : 20893272     EISSN : -     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) is a peer reviewed International Journal in English published four issues per year (March, June, September and December). The aim of Indonesian Journal of Electrical Engineering and Informatics (IJEEI) is to publish high-quality articles dedicated to all aspects of the latest outstanding developments in the field of electrical engineering. Its scope encompasses the engineering of Telecommunication and Information Technology, Applied Computing & Computer, Instrumentation & Control, Electrical (Power), Electronics, and Informatics.
Arjuna Subject : -
Articles 5 Documents
 1 
Search results for , issue "Vol 2, No 3: September 2014" : 5 Documents clear
Reduction of Active Power Loss byUsing Adaptive Cat Swarm Optimization Kanagasabai Lenin; B.Ravindranath Reddy
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 2, No 3: September 2014
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (145.438 KB) | DOI: 10.52549/ijeei.v2i3.111

Abstract

This paper presents, an Adaptive Cat Swarm Optimization (ACSO) for solving reactive power dispatch problem. Cat Swarm Optimization (CSO) is one of the new-fangled swarm intelligence algorithms for finding the most excellent global solution. Because of complication, sometimes conventional CSO takes a lengthy time to converge and cannot attain the precise solution. For solving reactive power dispatch problem and to improve the convergence accuracy level, we propose a new adaptive CSO namely ‘Adaptive Cat Swarm Optimization’ (ACSO). First, we take account of a new-fangled adaptive inertia weight to velocity equation and then employ an adaptive acceleration coefficient. Second, by utilizing the information of two previous or next dimensions and applying a new-fangled factor, we attain to a new position update equation composing the average of position and velocity information. The projected ACSO has been tested on standard IEEE 57 bus test system and simulation results shows clearly about the high-quality performance of the planned algorithm in tumbling the real power loss.
Modified DV-Hop Algorithm for Localization in Wireless Sensor Networks Glory Pachnanda
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 2, No 3: September 2014
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (106.263 KB) | DOI: 10.52549/ijeei.v2i3.112

Abstract

Wireless sensor networks (WSNs) help monitoring physical environments with improved accuracy. Localization has been a major challenge in such networks because without finding the location of the sensor that is informing sensed data, the informed data will not be useful. Localization algorithm is categorized as: anchor based approach and anchor free approach in which DV-Hop algorithm is anchor based approach. In this paper, we modify the DV-Hop algorithm; deprivation of DV-Hop algorithm is that this algorithm works badly in sparse topology, so we have done some improvements shown in this paper and compare the simulation results of both algorithms (DV-Hop and Modified DV-Hop algorithm). The result shows that accuracy of modified DV-Hop algorithm is better than DV-Hop algorithm and modified DV-Hop algorithm also works in sparse networks.
KNN and ARL Based Imputation to Estimate Missing Values Thirumahal R; Deepali A. Patil
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 2, No 3: September 2014
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (233.74 KB) | DOI: 10.52549/ijeei.v2i3.117

Abstract

Missing data are the absence of data items for a subject; they hide some information that may be important. In practice, missing data have been one major factor affecting data quality. Thus, Missing value imputation is needed. Methods such as hierarchical clustering and K-means clustering are not robust to missing data and may lose effectiveness even with a few missing values. Therefore, to improve the quality of data method for missing value imputation is needed. In this paper KNN and ARL based Imputation are introduced to impute missing values and accuracy of both the algorithms are measured by using normalized root mean sqare error. The result shows that ARL is more accurate and robust method for missing value estimation.
On limits of Wireless Communications in a Fading Environment: a General Parameterization Quantifying Performance in Fading Channel Amit Grover; Neeti Grover
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 2, No 3: September 2014
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (571.969 KB) | DOI: 10.52549/ijeei.v2i3.118

Abstract

The reliable services along with high throughput can be achieved by using wireless communication systems. These systems also provides a wide coverage because of their features, no doubt MIMO Communication System [1] is one among them. Features provided by these systems ensure the improved system coverage and increased data transmission rate by considering multiple numbers of transmitter and receiver antennas. In this article, the concept of equalization has been considered and finally the performance of the MIMO Systems in Rician flat fading [5] channel is compared with the Rayleigh flat fading channel. It has also been observed that the performance of these Systems in Rician Flat Fading Channel is the best as compare to the Rayleigh Flat Fading Channel [10]. It has been concluded that the successive interference methods provide better performance as compare to others, but their complexity is high. Simulation results shows that ML provides the better performance in comparison to other equalizers but Sphere decoder provides the best performance.
Modeling, Simulation and Position Control of 3DOF Articulated Manipulator Sadegh Lafmejani, Hossein; Zarabadipour, Hassan
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 2, No 3: September 2014
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeei.v2i3.119

Abstract

In this paper, the modeling, simulation and control of 3 degrees of freedom articulated robotic manipulator have been studied. First, we extracted kinematics and dynamics equations of the mentioned manipulator by using the Lagrange method. In order to validate the analytical model of the manipulator we compared the model simulated in the simulation environment of Matlab with the model was simulated with the SimMechanics toolbox. A sample path has been designed for analyzing the tracking subject. The system has been linearized with feedback linearization and then a PID controller was applied to track a reference trajectory. Finally, the control results have been compared with a nonlinear PID controller.

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