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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
 382   383   384   385   386 
Automated brain tumor segmentation and classification for MRI analysis system Norhashimah Mohd Saad; Muhamad Faizal Yaakub; Abdul Rahim Abdullah; Nor Shahirah Mohd Noor; Nur Azmina Zainal; Wira Hidayat Mohd Saad
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i3.pp1337-1344

Abstract

This paper proposed a new analysis technique of brain tumor segmentation and classification for Fluid Attenuated Inversion Recovery (FLAIR) Magnetic Resonance Images (MRI). 25 FLAIR MRI images were collected from online database of Multimodal Brain Tumor Segmentation Challenge 2015 (BRaTS’15).  The analysis comprised four stages which are preprocessing, segmentation, feature extraction and classification. Fuzzy C-Means (FCM) was proposed for brain tumor segmentation. Mean, median, mode, standard deviation, area and perimeter were calculated and utilized as the features to be fed into a rule-based classifier. The segmentation performances were assessed based on Jaccard, Dice, False Positive and False Negative Rates (FPR and FNR). The results indicate that FCM offered high similarity indices which were 0.74 and 0.83 for Jaccard and Dice indices, respectively. The technique can possibly provide high accuracy and has the potential to detect and classify brain tumor from FLAIR MRI database.
Application of Inclinometer in Arch Bridge Dynamic Deflection Measurement Xianlong He; Xueshan Yang; Lizhen Zhao
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

Dynamic deflection measurement is an important component to the bridge loading experiment or health monitoring. Using high-precision inclinometers to test the dynamic deflection is a good method for High-Speed Railway Bridge deflection measurement in this paper, we develop a kind of precision inclinometer which comprehensives the Capacitive sensor technology and the Servo sensor technology and has been called QY inclinometer. We also derive a new theory to calculate deflection based on inclination. Using eleven QY inclinometers and three Cable-Displacement sensors, we have done a comparison dynamic deflection measurement experiment on an arch bridge. Test results indicate: using inclinometers to measure dynamic deflection can achieve the same accuracy with Cable-Displacement sensor which can achieve 0.1 mm accuracy. Therefore, this experiment has proved Using high-precision inclinometers to measure dynamic deflection of bridge can satisfy the dynamic deflection measurement request of high-speed railway bridge. Comparing with other methods of dynamic deflection measurement, using high-precision inclinometers to measure dynamic deflection is very easy to operate, and also do not need find a static reference point. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4933
Fast lightweight block cipher design with involution substitution permutation network (SPN) structure Omar A. Dawood
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 1: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i1.pp361-369

Abstract

In the present paper, a new cryptographic lightweight algorithm has been developed for the internet of things (IoT) applications. The submitted cipher designed with the involution Substitution Permutation Network SPN structure. The involution structure means that the same encryption algorithm is used in the decryption process except the ciphering key algorithm is applied in reverse order. The introduced algorithm encrypts the data with a block size of 128-bit 192-bit or 256-bit, which iterative with 10, 12 and 14-rounds respectively similar to the AES cipher. The design aspect supports an elegant structure with a secure involution round transformation. The main round is built without S-Box stage instead that it uses the on-fly immediate computing stage and the involution of mathematical invertible affine equations. The proposed cipher is adopted to work in a restricted environment and with limited resources pertaining to embedded devices. The proposed cipher introduces an accepted security level and reasonable gate equivalent (GE) estimation with fast implementation.
Effects of Puncturing Patterns on Punctured Convolutional Codes Lydia Sari
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 4: August 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

Punctured convolutional codes are known to have low complexity compared to their non-punctured counterpart, while retaining a good performance. Analyzing the performance of punctured convolutional code can be simplified by using non-punctured equivalent code. In this paper new punctured convolutional codes with rates of 3/8, 3/7 and 3/6 are proposed, and their performances are studied by first constructing non-punctured equivalent codes.  Simulation results show that different puncturing patterns will affect the code performances. Further investigations show that puncturing adjacent bits is to be avoided as it tends to degrade the code performance, as indicated by a decrease of the free distance by 9% and 33% below average for code rates 3/7 and 3/6 respectively. On the contrary, dispersed punctured bits will yield good code performance as indicated in the increase of the free distance by 27% and 32.45% above average for code rates 3/7 and 3/6 respectively. DOI: http://dx.doi.org/10.11591/telkomnika.v10i4.865
An improved Direct Adaptive Fuzzy controller for an uncertain DC Motor Speed Control System Duc Cuong Quach; Shuang Huang; Quan Yin; Chunjie 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

In this paper, we present an improved Direct Adaptive Fuzzy (IDAF) controller applied to general control DC motor speed system. In particular, an IDAF algorithm is designed to control an uncertain DC motor speed to track a given reference signal. In fact, the quality of the control system depends significantly on the amount of fuzzy rules-fuzzy sets and the updating coefficient of the adaptive rule. This can be observed clearly by the system error when the reference input is constant and out of a particular range or in the case of it varies with nonzero acceleration. So, in order to enhance quality of the system, increasing the amount of fuzzy sets and adjusting appropriately the updating coefficient of controller based on value of state error vector are needed. In addition, the proposed IDAF algorithm can control the DC motor speed under unstable supply voltages and varying loads. The control system is implemented on a dsPIC33FJ256MC710A 16-bit DSC (Digital Signal Processing Controller) board. Experimental results demonstrate the effectiveness of the proposed method. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.1861
Gear Fault Diagnosis and Classification Based on Fisher Discriminant Analysis Haiping Li; Jianmin Zhao; Xinghui Zhang; Hongzhi Teng; Ruifeng Yang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp6198-6204

Abstract

Gears are the most essential parts in rotating machinery. So gear fault modes diagnosis and levels classification are very important in engineering practice. This paper present a novel method in gear fault recognition and identification using Fisher discriminant analysis (FDA) due to FDA can reduct dimension when analyse signal. The real data collected from a gearbox test rig is used to validate the method this paper proposed. And the effectiveness of the methodology was demonstrated by the results obtained from the analysis. Three kinds of fault modes and levels were identified. And energy was selected as feature parameter. The fault modes (normal, breaktooth and crack) were diagnosed at first, then the fault levels of breaktooth and crack are classified. The accurate rate of the method is approximate 89%.
PROSPECTS OF USING THE UFMC TECHNOLOGY IN 5G / IMT-2020 NETWORKS Ghazi Behadili, Ahmed Sabri; Abdualsada Alshebaney, Emad Jadeen; Khudhair attaby, Aqeel Lateef
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.pp1377-1382

Abstract

Subject of investigation. The article considers the technology of frequency multiplexing with universal filtering UFMC, planned to be introduced in the fifth generation of mobile communication networks, which allows maximizing the rate of decay of the side lobes of the multi frequency signal spectrum that cause out-of-band emissions. Method. As a method of investigation, a computational experiment was chosen. Main results. The parameters of the OFDM and UFMC signals were compared to determine the gain of the UFMC technology in the occupied bandwidth of the signal spectrum, as well as the number of arithmetic operations, required to generate a data symbol compared to the OFDM technology, on the basis of which, conclusions were made about the practical application of UFMC technology in networks mobile communication of the fifth generation. Practical significance. The conducted analysis can help to select the optimal number of sub-channels in groups in order to minimize the amount of computations during the UFMC symbol generation process.
Performance Optimization based Spectrum Analysis on OFRA and EDFA Devices Liu Liying; Ma Yu; Yang Jiuru
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

As the key devices, erbium doped fiber amplifier (EDFA) and optical Raman fiber amplifier (OFRA) have been widely applied in the fields of optical communication, sensing and measurement. However, the performance optimization is always one of the hot topics in the study of optical fiber amplifiers, because its output characteristics are hardly dependent to the key designing parameters. In this paper, in order to cope with such problem, we adopt the novel analysis based spectrum to study the output performance of EDFA and OFRA systems, respectively. Through simulating the operation of the two amplifying system, their output characteristics are first demonstrated with the various parameters. And according to the numerical results obtained, the key designing parameters of EDFA and OFRA systems are determinate, and the performance of amplifying systems are improved and optimized obviously in terms of output power, signal noise ratio, and the level of gain flatness. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2822 Keywords: Fiber Raman Amplifier, Erbium Doped Fiber Amplifier, Performance optimization, Spectrum analysis, Simulation. 
Optimal Decision-making on Charging of Electric Vehicles Xin Gong; Tao Lin
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

Large-scale development of electric vehicles (EVs) will have a significant impact on the power grid with their great demand for electric power consumption. It is necessary to design the optimal charging scheme for EVs. In this paper, we propose a centralized and a decentralized scheme of optimal decision-making on charging of EVs based on a dynamic pricing model. The objective of both schemes is to minimize the costs of EVs by establishing EV charging optimal schedules that fills the overnight load valley.The centralized scheme,whose objective is to minimize the total charging costs of all EVs, determines the charging schedules of EVs through solving a global optimization problem by the utility.The decentralized scheme is based on congestion game theory,under which the charging schedules are determined locally and directly by EVs to minimize their own costs. Detailed mathematical models and solution procedures are presented for both the centralized and decentralized schemes. Results show that both schemes have good performance on valley-filling. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4098
The MRAC based-adaptive control system for controlling the speed of direct current motor Manh-Cuong Nguyen; Duc-Phuc Vuong; Trong-Thang Nguyen
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.pp723-728

Abstract

This research aims to propose an adaptive control system for controlling the speed of the direct current (DC) motor. The system consists of two control loops: the first control loop is a traditional PID controller and the second control loop is an adaptive controller. The role of the adaptive controller is adjusting the output of the control object follows with the output of the reference model. The adjustment mechanism is very simple, but the quality of the whole system is very high: the conversion time is short and there isn't overshoot. The quality of the proposed adaptive control system is also compared to the traditional PID control system to show the advantages of the new system.

Page 384 of 920 | Total Record : 9199

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