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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
ISSN : 25024752     EISSN : 25024760     DOI : -
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Articles 9,199 Documents
Resolving of optimal fractional PID controller for DC motor drive based on anti-windup by invasive weed optimization technique Badriyah Ahmed Obaid; Ameer Lateef Saleh; Abbas Kareem Kadhim
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 1: July 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i1.pp95-103

Abstract

This paper exhibits a design procedure for tuning the parameters of Fractional Order Proportional Integral Derivative (FOPID) P  controller to optimize the DC motor drive operation. The optimization technique is establishing on Invasive Weed Optimization (IWO). This paper also proposes the use of anti-windup aspect to against the saturation which may occur in the FOPID controller. The objective of this design is to improve the performance of the drive subjected to different transient response and loading conditions. A comparative study is carried out with a classical PID controller. The Matlab simulation results show more improvements in the proposed system.
Providing Authentication by Using Biometric Multimodal Framework for Cloud Computing R. Parimala Mala; C. Jayakumar Kumar
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i3.pp591-596

Abstract

Secret knowledge, like remembering password or token based authentication systems are deemed inconvenience and difficult to use for users such as password may be forgotten or token may be lost. So burdens like remembering password and stolen or forged token based authentication have raised a current trend of biometric authentication system. Now in this current tech world, everyone needs security everywhere to protect our personal gadgets.  So to keep it secured, biometric based approach can be applied for better convenience and ease of use for the user. In this paper, a novel hybrid multimodal approach for ear recognition and finger print recognition has been presented for better robustness and efficiency which can be applied in various fields of applications like authentication in banking transactions. Biometric based human recognition is rapidly gaining popularity due to breached of traditional security systems and the lowering cost of sensors. This paper comprehensively reviews multimodal recognition using ear pattern and finger print data, it is concluded that further research should investigate fast and fully automatic ear-finger print multimodal systems robust to occlusions and deformations.
Application of Fractal Dimensions and Fuzzy Clustering to Tool Wear Monitoring Weilin Li; Pan Fu; Erqin Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: January 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Monitoring of metal cutting tool wear states is a key technology for automatic, unmanned and adaptive machining. As tool wear increases, the vibration signals of cutting tool become more and more irregular in the turning processes. The degree of tool wear can be indirectly monitored according to these changes of vibration signals. In order to quantitatively describe these changes, fractal theory and fuzzy clustering method were introduced into the cutting tool wear monitoring area. Firstly, wavelet de-noising method was used to reduce the noise of original signals, and eliminate the effect of noise on fractal dimensions. Secondly, the fractal dimensions based on fractal theory were got from the de-noised signals, including box dimension, information dimension, and correlation dimension. Finally, the relationship between the fractal dimensions and tool wear states was studied; the affinities between the known and unknown states can be obtained through fuzzy c-mean clustering algorithm; tool wear states can be recognized by those affinities based on fractal dimensions. The experiment results demonstrate that wavelet de-noising method can efficiently eliminate the effect of noise on fractal dimensions, and tool wear states can be real-timely and accurately recognized through the fuzzy clustering analysis on fractal dimensions. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1887
Research of Flow Characteristics Hybrid Model of Steam Turbine Stage Based on the Improved PSO Algorithm Zhao Ming; Yan Zhengbo; Zhou Liukun; Wang Huijie; Xu Xiaogang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Power station steam turbine stage flow characteristics show the Corresponding relationship between pressure and flow rate, which is the important research foundation for analysis of steam turbine performance and the further optimization analysis of unit. Based on strict theory analysis, this article obtained two important key characteristic coefficients such as the capacity of flow coefficient and the level of group critical pressure ratio which mainly influenced the turbine characteristics. And then the secondary flow calculation model was imposed combining with the massive actual data, adapting the method of improved PSO algorithm. The practical results show that, the obtained model not only ensured good regularity and ductility, but also has higher calculation precision. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3501
Solar powered peltier cooling storage for vaccines in rural areas Henning Buitendach; Immanuel Ninma Jiya; Rupert Gouws
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 1: January 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i1.pp36-46

Abstract

The research presented in this paper proposes a new design of a vaccine cooling and storage unit that can keep vaccines in the cold chain (2°C to 8°C). This design was done to facilitate effective completion of the African vaccination week. The cooling and storage unit was designed to be compact, portable, well isolated and to make use of a PV solar energy system as a source of electricity. The cooling unit makes use of a Liquid to Air thermoelectric cooling module connected to some tubing and a liquid pump to cool the inside of the cooling unit. The design process also included designing a control system that controls the temperature inside the cooling holder and a monitoring system to monitor the battery voltage and capacity. The system also has a user interface that displays the temperatures inside and outside of the cooling holder, as well as the battery voltage and capacity. The cooling system successfully developed was able to keep vaccines in the cold chain for up to three days, the system could control the temperature of the vaccines with an accuracy of 1°C and was small and portable, but still had enough room to house up to 250 vaccines.
Simplifications of the Rule base for the stabilization of Inverted Pendulum System Tharwat O. S. Hanafy; Mohamed K Metwally
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5225-5234

Abstract

Control of an inverted pendulum on a carriage which moves in a horizontal path, is one of the classic problems in the area of control. The basic aim of our work was to design appropriate controller to control the angle of the pendulum and the position of the cart in order to stabilize the inverted pendulum system. The main objective of this paper to keep the stabilization of the inverted pendulum based on the simplification of rule base. The proposed fuzzy control scheme successfully fulfills the control objectives and also has an excellent stabilizing ability to overcome the external impact acting on the pendulum system. The effectiveness of this controller is verified by experiments on a simple inverted pendulum with fixed cart length.
VSGA Method Based Trajectory Planning of a Novel Limb-robot Li Liu; Han-lin Yang; Tie-feng Zhang; Ming Pang; Jie Zhao
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 5: May 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

A new progressive genetic algorithm (PGA) was developed for trajectory planning of a novel limb-robot. The proposed trajectory planning method can be applied to get an optimal joints trajectory from the initial to the end position and orientation. On the basis of the genetic algorithm a new kind of variable structure genetic algorithm (VSGA) is proposed to solve the problem of trajectory planning of the limb-robot in complicate environments. The VSGA changes the original structure by abandoning Elitist Model, expectation selection, reproducing population and changing the probability of crossover and mutation. Experiments results show that the PGA is effective in static environments and the VSGA does well in complicate environments. DOI: http://dx.doi.org/10.11591/telkomnika.v11i5.2564
The Research Status and Development Trend of Electric Vehicle Power Supply Technology Hui Gao; Yingjun Wu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 11: November 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i11.pp7690-7696

Abstract

Electric vehicle (EV) power supply infrastructure construction and the related technologies are the prerequisite and core of the EV industry development respectively. This paper introduces the technology research and application situation of charging, battery swapping and smart charging/battery swap service network operation management in China, and meanwhile introduces the EV energy supply infrastructure construction and some typical pilot projects in China. And the EV energy supply technologies development trend is discussed at last.
Distributed Regional Weighted Multidimensional Scaling for Network Coordinate System Cong Wang; Fengli Zhang; Min Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Network Coordinate System embeds all nodes into a specific metric space and estimate the latency between any node-pair through computing the corresponding metric distance with low-cost. But the metric space is usually uniform while the Internet is heterogeneous since different autonomous systems (AS) always have different routing strategies. To make full use of the clustering characteristic for improving the latency estimating accuracy without any prior knowledge, this paper judges the reference nodes are in the same AS with the target node or not through the metric distance between the target node and the source, and weights them by the Gaussian kernel function. Then the source node can computes a new coordinate to estimatesthe latency between the target node and itself more precisely. The experiments show this mechanism can reduce the Stress criterion of the entire system by 19.38% without any additional communication overhead, its computation cost is also very small at the same time. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3817
Speaker ethnic identification for continuous speech in malay language using pitch and MFCC Rafizah Mohd Hanifa; Khalid Isa; Shamsul Mohamad
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.pp207-214

Abstract

Voice recognition has evolved exponentially over the years. The purpose of voice recognition or sometimes called speaker identification, is to identify the person who is speaking. This can be done by extracting features of speech that differ between individuals due to physiology (shape and size of the mouth and throat) and also behavioral patterns (pitch, accent and style of speaking). This paper explains an approach of voice recognition to identify the ethnicity of Malaysian people. Pitch and 13 Mel-Frequency Cepstrum Coefficients (MFCCs) are extracted from 52 recorded continuous speech in Malay for use as features to train the classifiers using Tree, Naïve Bayes, Nearest Neighbors and Support Vector Machine (SVM) and another 10 recorded speeches are used for testing. The results reveal that the use of a combination of pitch and 13 coefficients for features extraction and training the data using SVM provide better accuracy (57.7%) than the use of only 13 coefficients (53.8%).

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