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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
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Parallel Computing Properties of Tail Copolymer Chain Hong Li; Bin Gong; He-Bei Gao; Chang-Ji Qian
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 8: August 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The properties of a AB diblock copolymer chain are calculated by Monte Carlo methods. Monomer A contacting to the surface has an adsorption energy E=-1 and monomer B E= 0. The polymer chain is simulated by self-avoiding walk in simple cubic lattice. The adsorption properties and the conformation properties of the polymer chain are computed by using message passing interface (MPI). The speedup is close to linear speedup by parallel computing independent samples. DOI: http://dx.doi.org/10.11591/telkomnika.v11i8.3033  
Improved a Priori SNR Estimation for Speech Enhancement Incorporating Speech Distortion Component Shifeng Ou; Chao Geng; Ying Gao
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The well known decision-directed (DD) approach drastically limits the level of musical noise, but the estimated a priori SNR matches the previous frame rather than the current one. Plapous introduced a novel method called two-step noise reduction (TSNR) technique to refine the a priori SNR estimation of the DD approach. However, the performance of this method depends on the accurateness of the estimated speech in its second step. In this paper, we propose an improved approach for the a priori SNR estimation in DCT domain with two steps like the TSNR method. While in the second step, considering the two state components of the estimation error between speech signal and its estimation, the speech distortion component and residual noise component, we make the estimated speech subtracted by its speech distortion as a refined estimation for the clean speech signal. Because the speech distortion component is offset, the estimated a priori SNR is more accurate. A number of objective tests results show the improved performance of the proposed approach. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3291 
Measurement and Simulation Techniques For Piezoresistive Microcantilever Biosensor Applications Aan Febriansyah; Ratno Nuryadi; Djoko Hartanto
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 6: October 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

Applications of microcantilevers as biosensors have been explored by many researchers for the applications in medicine, biological, chemistry, and environmental monitoring. This research discusses a design of measurement method and simuations for piezoresistive microcantilever as a biosensor, which consist of designing Wheatstone bridge circuit as object detector, simulation of resonance frequency shift based on Euler Bernoulli Beam equation, and microcantilever vibration simulation using COMSOL Multiphysics 3.5. The piezoresistive microcantilever used here is Seiko Instrument Technology (Japan) product with length of 110 μm, width of 50 μm, and thickness of 1 μm. Microcantilever mass is 12.815 ng, including the mass receptor. The sample object in this research is bacteria EColi. One bacteria mass is assumed to 0.3 pg. Simulation results show that the mass of one bacterium will cause the deflection of 0,03053 nm and resonance frequency value of 118,90 kHz. Moreover, four bacterium will cause the deflection of 0,03054 nm and resonance frequency value of 118,68 kHz. These datas indicate that the increasing of the bacteria mass increases the deflection value and reduces the value of resonance frequency. DOI: http://dx.doi.org/10.11591/telkomnika.v10i6.1180
Positioning System of Underground Coal Mines Based on ZigBee Technology Zhang De; Li Gang Yan
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

The study introduces the man and machine positioning system of underground coal mines based on the ZigBee Wireless Communication Technology. It can realize the effective management of the precise positioning of machine and the workers. This article presents the composition of the system, the performance and management of content and network formation. The actual application shows that the underground man-machine positioning system based on ZigBee technology can play an important role in the underground personnel information and security management. So the system can meet the needs of the mine safety management and there has great application prospect. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4039
Human face recognition methods based on principle component analysis (PCA), wavelet and support vector machine (SVM) : a comparative study Eman A. Gheni; Zahraa M. Algelal
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 2: November 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i2.pp991-999

Abstract

Human face Recognition systems are increasingly gaining more importance and can be utilized throughout many applications like video surveillance, Security, human-computer intelligent interaction, etc. this paper presents performance comparison between three feature extraction techniques for an automatic face recognition system. In the first step, we benefit from wavelet Transforms, principal component analysis (PCA) and combining Wavelet with PCA as feature extracting methods. After feature vectors generation, linear and nonlinear support vector machines (SVM) are usually used for implementing the classification or recognition step. These methods are compared on accuracy in an ORL database for face recognition applications including 400 images of 40 people.
A review of object-oriented approach for test case prioritization Umar Farooq; Hannani Aman; Aida Mustapha; Zainuri Saringat
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp429-434

Abstract

The most essential phase in regression testing is Test Case Prioritization (TCP), with its primary objective to increase the fault detection rate at different stages during testing. Prior to achieving the objective, existing evidence of techniques in TCP must be synthesized and analyzed. At present, fault detection for TCP based on object-oriented features only consider statement, module, and class level. The important features of object-oriented (OO) programming like inheritance and polymorphism have not been fully explored for fault detection in TCP. Such OO concepts are important for test case selection and in turn for ranking the test cases (prioritization). This paper reviews various test case prioritization techniques specific to OO systems. This review is hoped to highlight the importance and usage of TCP in relation to object-oriented software development lifecycle.
Efficient RFID Data Cleaning Method Li Xing; FU Wen-xiu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

RFID (Radio Frequency Identification) technology transfers data between movable tagged objects and readers without line of sight, and the captured data tends to be noisy. The inherent unreliability makes the data unreliable to application. Nowadays, the main solution is to use sliding window, but it is difficult to decide the window size, especially when the tag moves frequently or with high false positive. To solve the mentioned problems, SWKF (Sliding Window based on Kalman Filter Pre-processing) is proposed. It preprocesses the RFID data to make the read rate close to the real one, detects and filters the mobile tags. Then, the preprocessed data is smoothed to further improve accuracy. At the same time, the mid-window slide point reduces the output. Through the combination of Kalman Filter and sliding window, SWKF provides accurate RFID data to application. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2154
Object Tracking Method Based on a New Multi-Feature Fusion Strategy Jie Cao; Lei-lei Guo; Jin-hua Wang; Di Wu
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.pp6811-6818

Abstract

In order to solve the poor robustness problem due to partial occlusionof target, we propose an adaptive particle filter tracking method based on thefusion of the multiple features. First, we regard information fusion as aprocess of information loss, loss coefficient is defined based on this idea.Then the credibility of feature can be obtained by weighted distance and themean of particle filter, and we use the features’ credibility to reallocate theloss coefficient. An extensive number of comparative experiments show theproposed algorithm is more stable and robust than multiplicative fusion andadditive fusion tracking algorithms.
MPPT for Photovoltaic System Using Multi-objective Improved Particle Swarm Optimization Algorithm Yuhong Zhao; Xuecheng Zhao; Yunhui Zhang
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

Making full use of abundant renewable solar energy through the development of photovoltaic (PV) technology is an effective means to solve the problems such as difficulty in electricity supply and energy shortages in remote rural areas. In order to improve the electricity generating efficiency of PV cells, it is necessary to track the maximum power point of PV array, which is difficult to make under partially shaded conditions due to the odds of the appearance of two or more local maximum power points., In this paper, a control algorithm of maximum power point tracking (MPPT) based on improved particle swarm optimization (IPSO) algorithm is presented for PV systems. Firstly, the current in maximum power point is searched with the IPSO algorithm, and then the real maximum power point is tracked through controlling the output current of PV array.,. The MPPT method based on IPSO algorithm is established and simulated with Matlab / Simulink, and meanwhile, the comparison between IPSO MPPT algorithm and traditional MPPT algorithm is also performed in this paper. It is proved through simulation and experimental results that the IPSO algorithm has good performances and very fast response even to partial shaded PV modules, , which ensures the stability of PV system. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3965
Simulation modeling for heart attack patient by mapping cholesterol level Jossy P George; Suhas M Gaikwad
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 1: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i1.pp16-23

Abstract

Cholesterol is a complex structural material made up of four-fused hydrocarbon rings. There is a hydrocarbon tail linked at one end of the structure, while the hydroxyl group linked to each other on the other end. To one end of the structure, a hydrocarbon tail linked and to the other end, a hydroxyl group linked to each other. High cholesterol level is one among the major risk factors of a heart attack. It is feasible to compute and control the cholesterol level of a cardiovascular patient by making use of intended Mathematical modeling in System Dynamics (S.D.). Moreover, by simulating proposed set of equations for a heart attack patient, recovery accomplished at a faster pace. Because of S.D., a substantial amount of reduction in the patient's Cardiovascular Disease achieved by control over the sterol level of the heart patient. This simulation modeling is an attempt made in translational research domain and is useful in the healthcare industry health care industry. It will minimize the risk of heart stroke and maintain a healthy life.

Page 393 of 920 | Total Record : 9199

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