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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
ISSN : 25024752     EISSN : 25024760     DOI : -
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Articles 98 Documents
Search results for , issue "Vol 12, No 7: July 2014" : 98 Documents clear
Application of Boosting Algorithm in Spam Filtration Wencheng Gu
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.pp5685-5692

Abstract

In order to improve accuracy and effectiveness of junk mail filtration, a filtering method is proposed based on Boosting algorithm, which uses Boosting algorithm to construct a spam filterer to identify junk mail. Besides, reference technical indexes in the field of text classification and information retrieval are used to construct a spam filterer evaluation system, with it, experimental data obtained from simulation were tested and evaluated. The results of test and evaluation proved that, compared with the traditional Bayesian algorithm, the spam filterer based on Boosting algorithm is able to filter junk mails more excellently, and the effectiveness of Boosting algorithm in spam filtering is verified.
Design and Implementation of PV Poultry Incubator Using PLC Nithin T Abraham; Shaema Lizbeth Mathew; C.A Pradeep Kumar
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.pp4900-4904

Abstract

It is very much important to have an improved meathod of poultry incubation because of the increase in demand for chicken. But in conventional meathod of poultry incubation it consumes much power and this power is taken from the grid. In short conventional meathod of egg hatching requires countioous supply of power. Weknow about the increasing demand   In this paper a new meathod of solar poultry incubator design is suggested which could be used to hatch eggs from solar pv and hence could reduce the usage of power and can maximize the usage of solar power which is a renewable source of energy.By implementing this meathod of solar poultry incubator we will be able to reduce the power consumption of the incubator by 75% and the cost involved in the design also yields profit and hence could bring out a reveloution in this field.
Dynamic characteristics analysis of WEDM based on Ansys and LMS Jingxing Qi; Changtao Cai; Zhixing Mao; Dongdong Luo
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.pp5037-5043

Abstract

In the operation process,the Wire Electrical Discharge Machine(WEDM) has certain imperfections such as vibration and the descent of machine precision which vibration produces.This paper studies the dynamic parameter of the machine tool and optimizes the natural frequency and vibration.Taking the DK7725 taper machine tool as an example,the paper establishes a 3Dmodel with ProEngineer 5.0.According to the Masataks Yoshimura method,the authors could ascertain the stiffness and damping of joint surfaces among machine main parts and ascertain the equivalent dynamic model. In order to have a modal analysis about the machine tool structure,the virtual dynamic analysis module of ANSYS Workbench Environment(AWE) is used.Through the study of dynamic parameter,the authors optimize and improve the natural frequency and vibration of machine tools, compared with the finite element analysis results and the no-optimization data.And the final results show that the change rates of each order natural frequencies optimized ranges from 0%to18.9%,and the whole mechine’s optimization achieves satisfied effect.
Circuit Design of Digital Closed Loop Control System for FOG Qiudong Sun; Yufeng Shao; Jiancun Zuo; Liandong Wang; Lin Gui
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.pp5174-5184

Abstract

Fiber optic gyroscope (FOG) is a new angular rate sensor based on the Sagnac effect. It has been widely applied in the navigation control system of aircrafts, spacecrafts and ships. But its stability, reliability and miniaturization are always the research focuses and difficulties. This paper presented a circuit design method for the digital closed loop control system of FOG based on FPGA. Based on a large number of experiments, this paper summarized the parameter demands for each module of closed loop control circuit and designed a corresponding circuit using FPGA. The proposed dual closed loop technique improved the zero offset stability of FOG. The using of FPGA brought the digital signal processing by software, the system reliability and agility enhancement as well as the system miniaturization. Particularly, we discussed the problems of component   selection and the anti-jamming measures for PCB design to improve the performances of the system. We also developed some samples of FOG using this design method. The experiments and tests show that the proposed method is efficient and valuable. The stabilities of zero-offsets of all samples are less than 0.075deg/h.
Research on Operating Condition Effect on the Shock Pulse Method Ruifeng Zhang; Jianshe Kang; Lishan Hao; Xinghui Zhang; Hongzhi Teng; Haiping Li
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.pp5392-5398

Abstract

Rolling bearings are one of the most widely used elements in industrial applications. Shock pulse method (SPM) has proven successfully as a diagnostic tool in determining bearing health. On the basis of illustrating the principle of SPM, this paper mainly concentrates on investigating the effect of different operating conditions on SPM. The shock pulse signals are derived from the wind turbine gearbox test rig by SPM instrument. Through comparing the slope of dB values when the rotating speed or load changes, effect of operating conditions on SPM is analyzed. The analysis results show that SPM is more sensitive to the rotating speed in contrast with the load.
Mathematical Programming Model on Joint and Recovery of Paper Scrap Zhixia JIANG; Haifeng LUO; Jianjun YANG; Zhengqiang WEN
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.pp5522-5528

Abstract

The joint and recovery of paper scrap was an optimal matching issue. The automatic restoration technology for the broken document was designed according to different cutting ways of the paper shredder. As the fragment data was an one-side print file, a nonlinear programming model with no constraint conditions was established for the straight-cutting broken paper scrap from a given print file of the same page, and the nonlinear programming model with restraint programming model was established for the broken scrap with straight cut and cross cut. For the paper scrap data from a one-page print file in English printed on both sides, the joint was accomplished by the ant colony algorithm.
Digital Image Stabilization Based on Improved Scale Invariant Feature Transform Xiaoran Guo; Shaohui Cui; Dan Fang
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.pp5645-5654

Abstract

A novel digital image stabilization approach using Harris and Scale Invariant Feature Transform (SIFT) was presented in this article. Using SIFT in digital image stabilization, too many feature points and matches were extracted, but some of them were not so stable. Using these feature points and matches can not only increase the computational effort, but also enhance the wrong matching probability. We proposed to use SIFT to detect feature points and incorporate the Harris criterion to select the most stable feature points in the video sequence where image motion was happened due to vehicle or platform vibration. With these feature points, we use general feature descriptor and matching algorithm to achieve the image stabilization. Experimental results show that the proposed algorithm can not only bring down the probability of wrong matching and get more accurate matches, but also reduce the computation burden than SIFT effectively.
Electromagnetic-thermal Scale Model of Gas-Insulated Bus Bars Hongtao Li; Naiqiu Shu; Ling Li; Hui Peng; Zipin Li
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.pp4988-4995

Abstract

Knowledge of the heat dissipation ability of gas-insulated bus bars (GIB) is paramount in the design stage. To reduce the capital cost, a scale model which has the identical electromagnetic-thermal characteristics of a full scale GIB is designed in this paper. The scaling relationships of the power losses, convection heat transfer, radiant heat transfer and thermal equilibrium are analyzed based on the governing equations and non-dimensional correlations. Current densities, power losses, convective heat transfer coefficients and temperature distributions in conductor and tank of the prototype and the scale models under different load currents are compared by FEM (Finite Element Method). The effectiveness of scale models is validated by the comparison between calculated and test results.
Investigating the Effect of Different PWM Modes on Ripple Reduction in Five-Phase BLDC Motor with New Method Seyed Mohsen Mirbagheri; Seyed Sajjad Salehi GHalehsefid; Seyed Mohammad Hossein Mousavi
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.pp5129-5136

Abstract

Torque ripple is one of the main drawbacks of  brushless DC motors.  in the case of three phase motors, PWM modes have a significant effect on the generated torque ripple. So, like three phase BLDC motors, we investigate the effect of different PWM modes on torque ripple of five-phase BLDC motor that has less torque ripple  in high speed. in this investigation we will show that freewheeling current in inactive phase is important factor in torque ripple. Also simulation in matlab/Simulink prove this event.
Identification of Nonlinear System Based on Fuzzy Model with Enhanced Gradient Search Arbab Nighat Khizer; Dai Yaping; Amir Mahmood Soomro; Xu Xiang Yang
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.pp5261-5267

Abstract

Theidentification and modeling theory of nonlinear systems has always been challengingto researchers.  Fuzzy system due to its languagedescriptive way similar to human brain and deal with qualitative informationintelligently proves better choice for nonlinear system modeling over last fewdecades. The fuzzy system theory itself also has nonlinear characteristics thereforewhen establishing the fuzzy model of nonlinear system; it should be able towell describe the nonlinear characteristics. Takagi-Sugeno (TS) fuzzy systemsare not only suitable for modeling the nonlinear system due to combination ofthe good performance with the simple linear expressions, but also useful todesign the fuzzy controller. This paper proposed a new optimization algorithm namedas Enhanced Gradient Search (EGS) for identification of nonlinear system basedon TS fuzzy system. In proposed EGS, parameters of membership functions aretrained adaptively so as to calculate the gradient of cost function which isnecessary for minimizing the error. Using gradient information of costfunction, EGS applies in an innovative way such that it keeps and updates thebest search results at every training step during the optimization process. Theapplicability of EGS for TS fuzzy model shows splendid performance especially inmodeling of nonlinear system.

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