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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
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Influence of pole number on the characteristics of permanent magnet synchronous motor (PMSM) S. Raj; R. Aziz; M.Z. Ahmad
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i3.pp1318-1323

Abstract

This paper present the influence of pole number on the characteristics of permanent magnet synchronous motor (PMSM). This study is devoted to construct three different motors with varying pole numbers and investigating its effect on the characteristics of permanent magnet synchronous motor (PMSM). It is a study on an influence of pole numbers on electromagnetic and thermal characteristics of the PMSMs all while maintaining the same motor dimensions, parameters and slot number. The study is conducted to analyse the best slot-pole combination for a given dimension to determine if pole numbers have a role in the motor performance. The analysis for these permanent magnet motors is done via finite element analysis (FEA) in which JMAG Designer software is used. The software is used to analyse the motor performance in terms of cogging torque, speed, power, iron loss, copper loss as well as the efficiency of the motor itself. All three motors were simulated in no load and load condition.
Mobile Camera as a Human Vision in Augmented Reality Edmund Ng Gaip Weng; Rehman Ullah Khan; Shahren Ahmad Zaidi Adruce; Oon Yin Bee
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

The real world objects can be recognized by using marker based and marker-less augmented reality systems. Mostly, the previous developers used markers based augmented reality systems. However, those systems actually hide the reality and it was also difficult to keep the markers everywhere. Furthermore, the previous marker-less approaches use client-server architecture, which is drastically affected by network latency. Smartphone camera is matured enough that it can recognize real world objects without markers. It can guide users about their location and the direction in a convenient way. The use of Smartphone is best suited for outdoor mobile augmented-reality applications. Therefore, a marker-less natural features based tracking system in mobile augmented reality was formulated. In the adapted framework, the state-of-the-art algorithm (speed up robust features) was modified for computing image features from live mobile camera image and compares with locally stored images features for recognition. Moreover, the local static database of location tagged image features using SQLite was implemented to bypass the server. The proposed system was tested in a mobile AR-prototype application using iPhone called UNIMAS Guide. It was found from the results that the adapted marker-less system could recognize the real world objects in speedy, easy and convenient way. This technology can be applied in tourism industry, surgery and educational fields. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2798
Energy saving control system development for external lighting A.A. Ashryatov; V.G. Kulikov; A.V. Panteleyev
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 3: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i3.pp1601-1606

Abstract

Currently, energy saving requires the development of simple and efficient street lighting control systems. In order to create such a control system, it is necessary to develop an original principle of its operation. They considered the advantages of electronic starting devices in street lighting control systems. They performed the analysis of the existing state of street lighting means, their shortcomings and solutions have been determined, and they developed the method of lighting device automatic control. They performed the assessment of the economic effect from loss reduction associated with reactive power and due to power reduction during deep night. They presented the example of economic effect achievement from the use of an electronic starting device with automatic power reduction.
Nonlinear Direct Robust Adaptive Control Using Lyapunov Method Yimei Chen; Dapeng Wu; Chunbo Xiu
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

   The problem of robust adaptive stabilization of a class of multi-input nonlinear systems with arbitrary unknown parameters and unknown structure of bounded variation have been considered. By employing the direct adaptive and control Lyapunov function method, a robust adaptive controller is designed to complete the globally adaptive stability of the system states. By employing our result, a kind of nonlinear system is analyzed, the concrete form of the control law is given and the meaningful quadratic control Lyapunov function for the system is constructed. Simulation of parallel manipulator is provided to illustrate the effectiveness of the proposed method.DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3100
Automatic Visual Inspection Reconfigurable Model of Piston Assembly Based on Extentics Jili Lu; Mingxing Lin; Fenghua Ding; Qingdong Wang
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.pp6984-6992

Abstract

As a visual inspection system can’t meet all the testing demands of various types of piston assembly, a visual inspection reconfigurable model for piston assembly was designed. A five-layer gray box model was established based on analyzing the process of visual inspection, and expressed by extension element; On this basis, a foundation scheme library was made using extension transform and generation strategy; The optical scheme was evaluated and chose by Analytic Hierarchy Process (AHP).This model can realize reconfigurable visual inspection automatically, improve the adaptability of visual inspection, solve the contradictions between custom requirements and existing condition, time and production cost .
Clustering Large Data with Mixed Values Using Extended Fuzzy Adaptive Resonance Theory Asadi Srinivasulu; Gadupudi Dakshayani
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 3: December 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i3.pp617-628

Abstract

Clustering is one of the technique or approach in content mining and it is used for grouping similar items. Clustering software datasets with mixed values is a major challenge in clustering applications. The previous work deals with unsupervised feature learning techniques such as k-Means and C-Means which cannot be able to process the mixed type of data. There are several drawbacks in the previous work such as cluster tendency, partitioning, less accuracy and less performance. To overcome all those problems the extended fuzzy adaptive resonance theory (EFART) came into existence which indicates that the usage of fuzzy ART with some traditional approach. This work deals with mixed type of data by applying unsupervised feature learning for achieving the sparse representation to make it easier for clustering algorithms to separate the data. The advantages of extended fuzzy adaptive resonance theory are high accuracy, high performance, good partitioning, and good cluster tendency. This EFART adopts unsupervised feature learning which helps to cluster the large data sets like the teaching assistant evaluation, iris and the wine datasets. Finally, the obtained results may consist of clusters which are formed based on the similarity of their attribute type and values.
FPGA Implementation of a Novel Gaussian Filter Using Power Optimized Approximate Adders Jamshid M Basheer; Murugesh V
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i3.pp1048-1059

Abstract

Smoothing filters are essential for noise removal and image restoration. Gaussian filters are used in many digital image and video processing systems. Hence the hardware implementation of the Gaussian filter becomes a reliable solution for real time image processing applications. This paper discusses the implementation of a novel Gaussian smoothing filter with low power approximate adders in Field Programmable Gate Array (FPGA). The proposed Gaussian filter is applied to restore the noisy images in the proposed system. Original test images with 512x512 pixels were taken and divided in to 4x4 blocks with 256x256 pixels. The proposed technique has been applied and the performance metrics were measured for various simulation criteria. The proposed algorithm is also implemented using approximate adders, since approximate adders had been recognized as a reliable alternate for error tolerant applications in circuit based metrics such as power, area and delay where the accuracy may be considered for trade off.
Deep learning versus traditional methods for parking lots occupancy classification Mohamed Sayed Farag; Mostafa Mohamed Mohie El Din; Hassan Ahmed Elshenbary
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 2: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i2.pp964-973

Abstract

Due to the increase in number of cars and slow city developments, there is a need for smart parking system. One of the main issues in smart parking systems is parking lot occupancy status classification, so this paper introduce two methods for parking lot classification. The first method uses the mean, after converting the colored image to grayscale, then to black/white. If the mean is greater than a given threshold it is classified as occupied, otherwise it is empty. This method gave 90% correct classification rate on cnrall database. It overcome the alexnet deep learning method trained and tested on the same database (the mean method has no training time). The second method, which depends on deep learning is a deep learning neural network consists of 11 layers, trained and tested on the same database. It gave 93% correct classification rate, when trained on cnrall and tested on the same database. As shown, this method overcome the alexnet deep learning and the mean methods on the same database. On the Pklot database the alexnet and our deep learning network have a close resutls, overcome the mean method (greater than 95%).
A Multi-party Decision Hot-standby Model Congdong Lv; Wei Ma; Xiaoyong Li
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

The dual server hot-standby mechanism is often used to improve the system availability. However, in traditional dual server hot-standby models, the states of servers are seldom determined from the client’s observation, and it’s easy for the master server and the slave server to make wrong decisions about the state of each other, which may cause split brain. This paper presents a multi-party decision hot-standby model. In this model, the master server and the slave server determine the state of each other not only from the observation of themselves, but also from the observation of the client, which helps them make correct decision to maintain or change the service platform, so as to ensure the continuity of application. Compared with traditional dual server hot-standby models, the model suggested in this paper is more reasonable because of the involvement of the client’s observation. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4887
Channel length scaling and electrical characterization of graphene field effect transistor (GFET) Reena Sri Selvarajan; Azrul Azlan Hamzah; Norliana Yusof; Burhanuddin Yeop Majlis
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i2.pp697-703

Abstract

The exclusive monoatomic framework of graphene makes it as an alluring material to be implemented in electronic devices. Thus, using graphene as charge carrying conducting channel material in Field Effect Transistors (FET) expedites the opportunities for production of ultrasensitive biosensors for future device applications. However, performance of GFET is influenced by various parameters, particularly by the length of conducting channel. Therefore, in this study we have investigated channel length scaling in performance of graphene field effect transistor (GFET) via simulation technique using Lumerical DEVICE software. The performance was analyzed based on electrical characterization of GFET with long and short conducting channels. It proves that conducting channel lengths have vast effect on ambipolar curve where short channel induces asymmetry in transfer characteristics curve where the n-branch is suppressed. Whereas for output characteristics, the performance of GFET heavily degraded as the channel length is reduced in short channels of GFET. Therefore, channel length scaling is a vital parameter in determining the performance of GFET in various fields, particularly in biosensing applications for ultrasensitive detection.

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