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An Improved Tone Reservation Scheme in OFDM Systems for Adaptive Amplitude Clipping
Yang Song;
Chaoshi Cai;
Jianping Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 11: November 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i11.pp7758-7763
Orthogonal frequency division multiplexing(OFDM) suffers from a high peak to average power ratio(PAPR). Tone reservation (TR) technology is considered as one of the most promising methods because of no additional distortion, no side information, and low implementation cost. However, in all PAPR reduction schemes,determining the optimal target clipping level is difficult. In this paper, we consider an adaptive amplitude least squares approximation(AALAS-TR) algorithm. Adjust adaptive optimal convergence factor for initial clipping threshold. That is results an approximately PAPR reduction performance with a low computational complexity. Simulation results show that the proposed algorithm can achieve better PAPR reduction as that different clipping threshold .
Contents of e-Government for Pursuing Value in Indonesian Local Government
Alfira Sofia;
Jann Hidajat Tjakraatmadja;
Sudarso Kader Wiryono;
Suhardi Suhardi
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 11: November 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i11.pp7895-7905
This research aimed to explore contents of Indonesian e-Government in order to obtain expected value effectively by considering obstacles in implementing e-Government. It was achieved by reviewing basic and applied theory of e-Government development. The study entails compilation of emerged benefits by triangulation of extensive literature review, case study (by best practices city/municipality in Indonesia) and FGD. Some problems in implementing e-Government explored in this research can be solved through simple and creative ways. It found that contents exploration of all relationships between 4 elements which are government, users, system, and environment, can be effective solution, which have been implemented by all successful cities/municipalities. The finding would help government policy and decision makers design and implement policies and strategies to improve e-Government services. The research is undertaken at Indonesian local government level as the first researches in Indonesian e-Government implementation by exploring best practice contents which emerged in each city/municipality.
Identification and Classification of Power System Faults using Ratio Analysis of Principal Component Distances
Alok Mukherjee;
Palash Kundu;
Arabinda Das
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 11: November 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i11.pp7603-7612
Power system reliability operation has been one of the most vital topics under research. The power system network, mostly the long transmission lines is often subjected to different types of faults leading to maloperation of power flow. The idea of a reliable protection system is to most accurately and efficiently identifying the fault, classifying and the locating of fault. This paper represents the application of dynamic phasors in the form of Principal Component Analysis (PCA) to identify fault in a three phase one end fed 150 km long radial power system transmission line. In the proposed work, (1/4) cycle pre-fault and (1/2) cycle post fault line voltages have been extracted from Electromagnetic Transient Programming (EMTP) simulation. The proposed algorithm is trained using only one set of receiving end data carrying out fault only at the midpoint of the line to generate fault signatures using PCA. The eigenvectors and the score matrix thus obtained corresponding to the three phases using the above analysis have been utilized to construct the component distances, which have been analyzed using ratio analysis to extract the similar features of any particular fault individually.
Fault Diagnosis of Tuning Area Based on Wavelet Neural Network
Yu Dong;
Ya-lan Li;
Jie-long Nan
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 11: November 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i11.pp7854-7862
With the rapid development of china railway, ZPW-2000A track circuit has been widely used. Tuning area, which is an important part of the ZPW-2000A track circuit, is not only the relationship between the signal transmission quality, and determine the effect of electrical insulation between adjacent sections. Therefore, the study of fault diagnosis aspects for tuning area is urgent and significant. In this paper, using the theory of transmission line a model of track circuit is built, the comparison of the actual data and experimental data of the track surface voltage envelope curve shows the correctness of this model. Owning to the good time-frequency characteristics of wavelet and the nonlinear mapping features of neural network, a fault diagnosis of ZPW-2000A tuning area based on the wavelet neural network(WNN) is proposed. Combined with the practical failure situation of railway site, the fault diagnosis method in this paper can accurately identify failure modes of tuning area.
Load Reduction Pitch Control for Large Scale Wind Turbines based on Sliding Mode
Han Yaozhen;
Xiao Hairong;
Zhang Haifeng
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 11: November 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i11.pp7564-7570
With the wind turbines being produced toward to large scale and light weight, the flexibility of blade, drive mechanism and tower increase apparently. Loads suffered by wind turbines during operation become increasingly intricate. Some control approaches could be used to cut down these loads in orde to expand life cycle of generating sets. Aiming at the full load operation zone above rated wind speed, conventional control target is only considering rotating speed of wind turbine and without considering the loads, such that these loads could not be restrained effectively. This paper proposes a multi-objective sliding mode pitch control approach based on a new double-power reaching law. It can control rotating speed of wind turbine and decrease balanced loads of tower, blade and drive mechanism. Simulation is implemented under Matlab/Simulink and the results verified effectiveness of the designed control scheme.
Robust Controller Design for Networked Control Systems Based on State Estimation
Fengxia None Xu;
Qunhong None Tian;
Junke None Wang;
Mengkun None Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 11: November 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i11.pp7705-7715
For the networked control systems with uncertain time delay in both sensor-to-controller and controller-to-actuator channels, and data dropouts in sensor-to-controller channel, a new model of networked control systems based on state estimation is proposed using single-exponential smoothing method to predict the state variables. After adopting Lyapunov stability theory, the asymptotic stability for the system has been proved, and the Robust Controller has been designed by using linear matrix inequality. In the simulation experiment, comparing the state responses under different situations of diverse time delay and data dropouts, the results show that the method is effective.
Research on Protein Thermal Condensation Detection Based on Phase Modulation SPR Imaging
Yang Zi Kang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 11: November 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i11.pp7808-7815
The existing of labeling methods can not completely meet the requirements of protein detection. It is currently in urgent need of sensitive, labeless, real-time and high throughput protein detection methods. A novel SPR imaging biomolecular interatction detection method based on time domain phase modulation is presented in this thesis. Experimental apparatus of SPR imaging biomolecular interaction detection based on TDPM is established. Biomolecular interaction is detected. 2×2 lysozyme array chip is prepared and lysozyme thermal condensation is detected by the experimental apparatus. SPR curves of the interaction are obtained and kinetic parameters are calculated. It can sensitively acquire real-time phase change caused by biomolecular interaction based on interference imaging, and resolve related bioinformation, which is a potential tool for proteomics research.
Audio and Video Communication Software Design Based on SIP
Shanshan Peng
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 11: November 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i11.pp7946-7951
This paper makes a design which implements the audio and video communication based on SIP over the Win2K platform. The oSIP and eXosip were used to exchange the Signals, and the jrtp was for packing the audio and video data. In the end, the multithreading was adopted to make the software perform well.
Evaluation of Speed and Torque Estimations for the EKF-based Direct Torque Control in Induction Machines
Ibrahim Mohd Alsofyani;
Nik Rumzi Nik Idris;
Y.A. Alamri;
Low Wen Yao;
Sajjad A. Anbaran
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 11: November 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i11.pp7659-7667
Accurate estimations of unmeasurable variables are required for increasing the performance of sensorless induction motor drives. This can be achieved if the required variables are accurately estimated with a well-established observer. The paper presents an extended Kalman filter- based direct torque control to investigate the estimations of speed and torque under challenging rotor and stator resistor and load variations at low and high speed regions. In all investigated scenarios, the speed and torque estimation showed good robustness against perturbations and their errors have remained within acceptable error bands.
Crack Detection of Power Line Based on Metal Magnetic Memory Non-destructive
Fenglian Niu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 11: November 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i11.pp7764-7771
Visual inspection method using helicopter equipped with infrared and ultraviolet camera is often employed to check the transmission status of power line, but it is so expensive and unsafe relative to using power line robot to implement crack detection of power line. In this paper a new measuring method is proposed using metal magnetic memory non-destructive (MMMNDT) to to automatically detect defects or abnormal conditions based on a completely autonomous mobile platform capable of a meaningful payload for signal data processing. In this work one kind of brand-new mechanical structure has been designed for inspection robot, and some important parts of the mechanical structure have been fully explained. At the same time, a detection system of the robot has been designed based on MMMNDT. The results of experiments about the crack detection of power line show that the robot can satisfactorily span obstacles automatically and fulfill the specified inspection tasks, experiment results of the detection system verified that this diagnosis system is feasible and can be applied to power line detection.