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23,598 Article Results

A Joint-Coding Scheme With Crosstalk Avoidance in Network On Chip

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1929
Lei Zhou , Ning Wu , Fen Ge
The reliable transfer in Network on Chip can be guaranteed by crosstalk avoidance and error detection code. In this paper,we propose a joint coding scheme combined with crosstalk avoidance coding with error control coding. The Fibonacci numeral system is applied to satisfy the requirement of crosstalk avoidance coding, and the error detection is achieved by adding parity bits. We also implement the codec in register transfer level. Furthermore, the schemes of codec applying to fault-tolerant router are analyzed. The experimental result shows that "once encode, multiple decode" scheme outperforms other schemes in trade-o_ of delay, area and power. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1862
Volume: 11
Issue: 1
Page: 1-8
Publish at: 2013-01-10

Dynamic Filtering Method for GPS Based on Multi-Scale

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1982
Wen An , Youming Liu , Guowei Wang , Zhiyong Liu , Tingjun Li
Aiming at GPS dynamic filtering method, this paper uses the method of multi-scale analysis, combines the “current” statistical model of automotive carrier with multi-scale signal transformation which is based on statistical characteristic, establishes the new algorithm of multi-scale data fusion for GPS dynamic filter combining with normal Kalman filter algorithm, at last achieves the optimal fusion estimated value of the target states based on global information at the finest scale. When the above algorithm is used to GPS dynamic filter, the simulated results show that the proposed algorithm can effectively increase estimated precision of target states compared with the conventional KF. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1918
Volume: 11
Issue: 1
Page: 425-429
Publish at: 2013-01-10

A Novel Three-phase Rectifier Based on Improved PID Control Algorithm

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1975
Zhang Shutuan , Jiang Jing , Zhang Kai
The three-phase rectifier based on traditional PID control algorithm can improve its harmonic effect, and increase its power factor, but it can’t overcome the problems of selection difficulty of the PID parameters and can realize the online self-turning function of the PID parameters. In order to deal with the questions, the three phase rectifier based on neural network PID control algorithm is designed in this paper. In this paper, the PID parameters of the novel rectifier can realize the function of the online self-turning, which increases the design efficiency and the control accuracy. The simulation results show that the three phase rectifier based on improved PID control algorithm can decrease the harmonic pollution and increase its power factor. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1910
Volume: 11
Issue: 1
Page: 376-382
Publish at: 2013-01-10

Rectification of Uncalibrated Images for Stereo Vision

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1968
HAN Huiyan , HAN Xie , Yang Fengbao
This paper aims at rectification of uncalibrated stereo images. We use the direct method to compute the rectifying transformations, not to deduce from the fundamental matrix, so to reduce the uncertainty; Minimize the distance from the point to its epipolar line to ensue the uniqueness of the two rectifying transformations. We only extract a few correspondent points, make use of the condition of the correspondent points in the rectified images also meet the polar constraint, minimize distance of all of the correspondent points to the corresponding epipolar line, then obtain the system equations, through solving system of equations, thus get the rectifying transformation matrix and rectify the stereo image pairs. Experiments show that, the size of the rectified images change not so seriously, the vertical disparity is eliminated, so the subsequent stereo correspondence can be fulfilled on the horizontal scan line of the rectified images completely. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1903
Volume: 11
Issue: 1
Page: 322-329
Publish at: 2013-01-01

Semiconductor-Optical-Amplifier Mach-Zehnder Interferometer Based Optical Networks

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1995
Vinai K. Singh , Ajit Kumar Singh Yadav , Ajay Kumar , Anand Tyagi
In this paper, an all-optical AND logic scheme which exploits the cross-phase modulation (XPM) effect in semiconductor-optical-amplifier-assisted Mach-Zehnder Interferometer (SOA-MZI), is proposed, performance analyzed and parameters optimized. The proposal is validated and the system performance under various parameters is examined through numerical simulations. With only moderate parameters, high-speed all-optical AND gate based on SOA-MZI is realized with fairly high performance. The results are helpful for designing of SOA-based all-optical logic devices. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1926
Volume: 11
Issue: 1
Page: 525-535
Publish at: 2013-01-01

Analysis Modulation Formats in DWDM Transmission System

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1996
Li Li , WEI Jian-yi , LI Hong-an , ZHANG Xiu-tai
In modulation and demodulation methods of the optical Differential Quadrature Phase Shift Key (DQPSK) and the different modulation formats including nonreturn-to-zero(NRZ), return-to-zero (RZ), carrier-suppressed return-to-zero(CS-RZ) are introduced, studying the different optical signals in the 40Gb/s high speed transmission system. The system is simulated in 200km optical fiber by way of dispersion compensation. It is showed that the ability of anti-dispersion and anti-PMD (Polarization Mode Dispersion) is better in the CS-RZ-DQPSK modulation format, and this format has the smallest eye-opening penalty (EOP) with a wider range of power into the optical fiber. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1800
Volume: 11
Issue: 1
Page: 536-543
Publish at: 2012-12-30

Distribution Grid Reactive Power Optimization Based on Improved Cloud Particle Swarm Algorithm

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1988
Hongsheng Su
To resolve the problems that cloud particle swarm optimization(CPSO) was easily trapped in local minimum and possessed slow convergence speed and early-maturing during distribution grid reactive power optimization, CPSO algorithm was improved based on cloud digital features in this paper. The method firstly combined Local search with global search together based on solution space transform, where the crossover and mutation operation of the particles were implemented based on normal cloud operator. And then the dramatic achievements were acquired in time-consuming and storage-cost using the improved algorithm. Finally, applied in bus IEEE30 system, the simulation results show that the better global solution is attained using the improved CPSO algorithm, and its convergence speed and accuracy possesses a dramatic improvement. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1727
Volume: 11
Issue: 1
Page: 468-475
Publish at: 2012-12-20

Simulation Analysis of a Power System Protection using Artificial Neural Network

https://ijece.iaescore.com/index.php/IJECE/article/view/5495
Aejaz Ahmed K R , Mohd. Z. A. Ansari , Mohamed Jalaluddin
There has been significant development in the area of neural network based power system protection in the previous decade. Neural network technology has been applied for various protective relaying functions including distance protection. The aim of this Paper is to develop a software module acting as a protective relay using neural network techniques. The Artificial Neural Network (ANN) software developed module employs the back-propagation method to recognize the waveform patterns of impedance in a transmission line. The input waveforms are generated using PSCAD. The generated waveforms then are used as training and testing data for the ANN software. The ANN software is simulated using the Neural Network Toolbox. The design has been tested for different fault conditions including different fault resistances and fault inception angles. The test results show that the relay is able to detect faults in lesser time as compared to conventional relay algorithms.DOI:http://dx.doi.org/10.11591/ijece.v3i1.1938
Volume: 3
Issue: 1
Page: 78-82
Publish at: 2012-12-12

Analysis Vehicle TWC Light-off Characteristics on AMESim Platform

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2067
Zhuang Wen Wu
Though building an AMESim physical model of vehicle three-way catalytic converter (TWC), this article aims to study the light-off characteristics of TWC. By solving the energy and mass conservation equations of gas-solid two phase of the model, this article obtains the emissions conversion rate, such as CO, unburned hydrocarbons (CaHb) and nitrogen oxides (NOx) under different parameters. The results show that, the TWC light-off characteristics can be affected by the engine control strategy, allocation of TWC and the structure of TWC carrier.DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.1476
Volume: 11
Issue: 2
Page: 1076-1082
Publish at: 2012-12-11

Optimization of an Intelligent Controller for Parallel Autonomous Parking

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2066
Guoqiang Zheng , Zhao Liang , Jishun Li
Autonomous parking has become the research focus. Fuzzy controller was ofen used to solve the nonlinear and time-varying problem of the autonomous parking. According to the shortcomings of traditional fuzzy controller, a new ant colony algorithm based on idle ant effect was proposed. Firstly, the fuzzy controller was designed based on the kinematic equations. Then, multi-colony parallel optimization was adopted to improve the data initialization, path construction and pheromone update. The method guaranteed the completeness of the membership function and made the fuzzy parameters with higher precision. Finally, both traditional controller and the designed controller were used for the autonomous parking, the experimental results showed that, comparing with the traditional fuzzy controller, the designed controller can improve the stability problem with less error and faster response speed. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.1404
Volume: 11
Issue: 2
Page: 1069-1075
Publish at: 2012-12-11

Improved Solar Photovoltaic Array Model with FLC Based Maximum Power Point Tracking

https://ijece.iaescore.com/index.php/IJECE/article/view/5296
Nur Mohammad , Md. Asiful Islam , Tarequl Karim , Quazi Delwar Hossain
This paper presents an improved model of solar photovoltaic (PV) array along with the implementation of fuzzy logic as maximum power point tracking (MPPT). The proposed PV array behavioral model is more accurate and with reduced complexity though considered discrete components. The PV array model was well verified by considering the effect of change of environmental conditions, mainly intensity of solar irradiation (insolation) and temperature. The model was tested by feed a single phase inverter. MPPT control the operating voltage of  PV arrays in order to maximize their power output as a result maximize the array efficiency and minimize  the overall system cost. Using a Fuzzy logic based algorithm, the duty cycle of the converter inserted between source and load is adjusted continuously to track the MPP and compared with the conventional perturb and observed (P&O) method for changing environmental conditions. It was found that the Fuzzy logic based method can track the MPP more precisely and rapidly than the conventional one. In P&O method, if step size of input variable is very small, the accuracy in tracking MPP is sufficient but tracking speed becomes too slow. On the other hand if the step size is increased to imitate the rapidly changing weather conditions, accuracy deteriorates and unexpected results occur due to oscillation around a mean point although tracking speed increased. But in the case of proposed FLC whatever the step size of input variable it best suited to track MPP continuously and accurately. The obtained simulation results validate the competent of the solar PV array model as well as the fuzzy controller.DOI:http://dx.doi.org/10.11591/ijece.v2i6.1328
Volume: 2
Issue: 6
Page: 717-730
Publish at: 2012-12-01

Bandstop Filter Design for GSM Shielding Using Frequency Selective Surfaces

https://ijece.iaescore.com/index.php/IJECE/article/view/5312
Umair Rafique , Syed Ahsan Ali , M. Tausif Afzal , Mudassar Abdin
In this paper, the performance of bandstop Frequency Selective Surface (FSS) is presented which can be used to provide wireless security on airports and other sensitive places, where a mobile phone can be used to set-off an explosive device. It can also be used to block the mobile signals at the places of worship, hospitals and cinemas where the annoying voice of a mobile phone may irritate the masses. The FSS unit cell consists of two metallic square-loop elements printed on FR-4 substrate with different periodicities. The outer and inner square-loop elements are tuned to 900 MHz and 1800 MHz, respectively. It has a stable frequency response at oblique incidences for both perpendicular (TE) and parallel (TM) polarizations. Simulation results are presented to give an overview for the performance of proposed FSS design.DOI:http://dx.doi.org/10.11591/ijece.v2i6.1820
Volume: 2
Issue: 6
Page: 846-850
Publish at: 2012-12-01

Artificial Neural Network Based Controller for Speed Control of An Induction Motor (IM) using Indirect Vector Control Method

https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/4919
Ashutosh Mishra , Prashant Choudhary
In this paper, an implementation of intelligent controller for speed control of an induction motor (IM) using indirect vector control method has been developed and analyzed in detail. The project is complete mathematical model of field orientation control (FOC) induction motor is described and simulated in MATLAB for studies a 50 HP(37KW), cage type induction motor has been considered .The comparative  performance of PI, Fuzzy and Neural network control techniques have been  presented and analyzed in this work.  The present approach avoids the use of flux and speed sensor which increase the installation cost and mechanical robustness .The neural network based controller is found to be a very useful technique to obtain a high performance speed control. The scheme consist of neural network controller, reference modal, an algorithm for changing the neural network weight in order that  speed of the derive can track performance speed.  The indirect vector controlled induction motor drive involve decoupling of the stator current in to torque and flux producing components.DOI: http://dx.doi.org/10.11591/ijpeds.v2i4.567
Volume: 2
Issue: 4
Page: 402-408
Publish at: 2012-12-01

The new method of Extraction and Analysis of Non-linear Features for face recognition

https://ijece.iaescore.com/index.php/IJECE/article/view/5301
Ali Mahdavi Hormat , Karim Faez , Zeynab Shokoohi , Mohammad Zaher Karimi
In this paper, we introduce the new method of Extraction and Analysis of Non-linear Features (EANF) for face recognition based on extraction and analysis of nonlinear features i.e. Locality Preserving Analysis. In our proposed algorithm, EANF removes disadvantages such as the length of search space, different sizes and qualities of imagees due to various conditions of imaging time that has led to problems in the previous algorithms and removes the disadvantages of ELPDA methods (local neighborhood separator analysis) using the Scatter matrix in the form of a between-class scatter that this matrix introduces and displayes the nearest neighbors to K of the outer class by the samples. In addition, another advantage of EANF is high-speed in the face recognition through miniaturizing the size of feature matrix by NLPCA (Non-Linear Locality Preserving Analysis). Finally, the results of tests on FERET Dataset show the impact of the proposed method on the face recognition.DOI:http://dx.doi.org/10.11591/ijece.v2i6.1773
Volume: 2
Issue: 6
Page: 766-773
Publish at: 2012-12-01

Performance Evaluation of Fuzzy and PI Controller for Boost Converter with Active PFC

https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/4924
D. Lenine , Ch. Sai Babu , G. Shankaraiah
In this paper, the problem of controlling AC-DC full bridge converter is considered. The control objectives are two, one is guaranteeing a regulated voltage for the connected load and second one is enforcing power factor correction (PFC) with input current sinusoidal. Power factor correction of Boost converter is done by using fuzzy control technique. The inner loop has a current error amplifier which improves the power factor by properly shaping the input current in accordance with its reference. This reference signal is always synchronized and proportional to the line voltage hence the input current comes in phase with the input voltage. Thus by improving the power factor maximum active power can be delivered to the load. The voltage loop is being controlled by the fuzzy controller and the multiplier. Voltage regulation is done by the fuzzy controller and input distortion is minimized by the fuzzy controller. The desired features of an active PFC technique are close to Unity Power Factor operation, less than 10 % total harmonic distortion in line current and simple control strategy. The fuzzy control technique gives better performance during different line voltage and load. The results are verified through MATLAB/Simulink.DOI: http://dx.doi.org/10.11591/ijpeds.v2i4.522
Volume: 2
Issue: 4
Page: 445-453
Publish at: 2012-12-01
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