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31,456 Article Results

Routh Approximation: An Approach of Model Order Reduction in SISO and MIMO Systems

10.11591/ijeecs.v2.i3.pp486-500
D. K. Sambariya , Omveer Sharma
In this paper the Routh Approximation method is explored for getting the reduced order model of a higher order model. The reduced order modeling of a large system is necessary to ease the analysis of the system. The approach is examined and compared to single-input single-output (SISO) and multi-input multi-output (MIMO) systems. The response comparison is considered in terms of step response parameters and graphical comparisons. It is reported that the reduced order model using proposed Routh Approximation (RA) method is almost similar in behavior to that of with original systems.
Volume: 2
Issue: 3
Page: 486-500
Publish at: 2016-06-01

Performance Analysis of a VPV/FC Hybrid System for Generating Electricity in Iraq's Remote Areas

10.12928/telkomnika.v14i2.3749
Z.; Universitas Sriwijaya Nawawi , A.S.; Universiti Teknologi Malaysia Aziz , Z.; Universiti Teknologi Malaysia Buntat , M.A.B.; Universitas Sriwijaya Sidik , H.J.; Universiti Teknologi Malaysia Kareem , M.A.A.; Universiti Teknologi Malaysia Aziz , A.Z.; Universiti Teknologi Malaysia Abdulameer , M.I.; Universitas Sriwijaya Jambak , Y.Z.; Universiti Teknologi Malaysia Arief
A reliable electrical energy supply is a prerequisite for improving the standard economic and quality of life levels in a country. As is the case in many countries, Iraq is home to a collection of remote villages. Since it is uneconomical to connect these villages to the existing grid, the installation of stand-alone electrical power generators has become common practice. As a result, diesel stand-alone power generators see widespread use in these remote locales, which, whilst fit for their intended purpose, unfortunately suffer from several drawbacks, including instability in regards to everyday oil prices and a number of environmental issues. The implementation of a PV/FC hybrid power system could be one potential alternative to help solve these problems. Therefore, this paper will present PV/FC system control strategies alongside information relating to the performance of such system components, based on a case study that was conducted in Al-Gowair, Iraq. This study is especially important in terms of envisioning the future energy supply needs of Iraq. The HOMER simulation results showed that by using the proposed control strategies and suggested components of a PV/FC system, it was able to produce a satisfactory outcome.
Volume: 14
Issue: 2
Page: 411-422
Publish at: 2016-06-01

A Quantum Pointer Signal Processing Research

10.11591/ijeecs.v2.i3.pp675-683
Shuyue Wu , Jingfang Wang
In quantum gray-scale image processing, the storage in quantum states is the color information and the position information According to the advantage of small range of the gray scale in a gray-scale image, a novel storage expression of quantum gray-scale image is proposed and demonstrated in this study. Besides, a new concept of "quantum pointer" is put forward based on the expression. Quantum pointer is the vinculum between the information of gray-scale and position of each pixel in quantum gray-scale images. The feasibility is verified for the proposed quantum pointer, and the properties of bi-direction and sub-block are used, the storing and other operations of quantum gray-scale image are simpler and more convenient. 
Volume: 2
Issue: 3
Page: 675-683
Publish at: 2016-06-01

A Review on LSB Substitution and PVD Based Image Steganography Techniques

10.11591/ijeecs.v2.i3.pp712-719
Aditya Kumar Sahu , Gandharba Swain
There has been a tremendous growth in Information and Communication technologies during the last decade. Internet has become the dominant media for data communication. But the secrecy of the data is to be taken care. Steganography is a technique for achieving secrecy for the data communicated in Internet. This paper presents a review of the steganography techniques based on least significant bit (LSB) substitution and pixel value differencing (PVD). The various techniques proposed in the literature are discussed and possible comparison is done along with their respective merits. The comparison parameters considered are, (i) hiding capacity, (ii) distortion measure, (iii) security, and (iv) computational complexity.
Volume: 2
Issue: 3
Page: 712-719
Publish at: 2016-06-01

Backstepping Approach for Autonomous Mobile Robot Trajectory Tracking

10.11591/ijeecs.v2.i3.pp478-485
Ibari Benaoumeur , Benchikh Laredj , Hanifi Elhachimi Amar Reda , Ahmed-foitih Zoubir
This paper proposes a backstepping controller design for trajectory tracking of unicycle-type mobile robots. The main object of the control algorithms developed is to design a robust output tracking controller. The design of the controller is based on the lyapunov theorem, kinematic tracking controller of an unicycle-like mobile robot is used to provides the desired values of the linear and angular velocities for the given trajectory. A Lyapunov-based stability analysis is presented to guarantee the robot stability of the tracking errors. Simulation and experimental results show the effectiveness of the proposed robust controller in term of accuracy and stability under different load conditions.
Volume: 2
Issue: 3
Page: 478-485
Publish at: 2016-06-01

Pattern Recognition of Overhead Forehand and Backhand in Badminton Based on the Sign of Local Euler Angle

10.11591/ijeecs.v2.i3.pp625-635
Muhammad Ilhamdi Rusydi , Syamsul Huda , Febdian Rusydi , Muhammad Hadi Sucipto , Minoru Sasaki
Studying the badminton skill based on the arm movement is a challenge since the limitation of the sensor such as camera to record the movement parameter. This study proposed a new method to determine the pattern of arm movement for forehand and backhand strokes in badminton based on the sign of the local Euler angle gradient from four points of right arm segments. Each segment was identified by motion sensor attached to the dorsal surface of the hand (sensor 1), wrist (sensor 2), elbow (sensor 3) and shoulder (sensor 4). Three certified coaches participated in this research to determine the arm movement patterns for forehand and backhand strokes. Skills in forehand and backhand strokes from eight professional players and eight amateur players were observed to determine the pattern. The result showed that the local Euler angle can be used to recognize the arm movement pattern. Based on the observed patterns, the professional players had a higher similarity to the coaches’ patterns than those amateur players to the coaches’.
Volume: 2
Issue: 3
Page: 625-635
Publish at: 2016-06-01

Mitigation of Voltage Fluctuation in Power Distribution System Using D-STATCOM

10.11591/ijeecs.v2.i3.pp530-536
Yahia M Esmail , S K Elsayed , M A Mehanna
Electrical Power Quality is becoming intensity concerned from both electric utilities and customers. Voltage Fluctuations is a major power quality problem as it has a significant impact on both the equipment and production environment. This work describes the voltage control technique of mitigation of voltage fluctuations and clearing fault using Distribution Static Synchronous Compensator (DSTATCOM). The test system used is IEEE 9-bus distribution system clarified optimal location of DSTATCOM by using Artificial Neural Network (ANN). A simulation was done using MATLAB/Simulink software to obtain the results.
Volume: 2
Issue: 3
Page: 530-536
Publish at: 2016-06-01

Data analysis for image transmitted using Discrete Wavelet Transform and Vector Quantization compression

10.12928/telkomnika.v14i2.2947
Mustapha; Tahri Mohammed University Khelifi , Abdelmounaim; Tahri Mohammed University Moulay Lakhdar , Iman; Tahri Mohammed University Elawady
In this paper we are going to study the effect of channel noise in image compressed with vector quantization and discrete wavelet transform. The objective of this study is to analyze and understand the way that the noise attack transmitted data by doing lot of tests like dividing the indices in different levels according to discrete wavelet transform and dividing  each level in frames of bits. The collected information well helps us to propose solutions to make the received image more resistible to the channel noise also to benefit from the good representation obtained by using vector quantization and discrete wavelet transform.
Volume: 14
Issue: 2
Page: 523-530
Publish at: 2016-06-01

Adaptive Particle Swarm Algorithm for Parameters Tuning of Fractional Order PID Controller

10.12928/telkomnika.v14i2.2370
Chaobo; Xi'an Technological University Chen , Li; Xi'an Technological University Hu , Lei; Xi'an Technological University Wang , Song; Xi'an Technological University Gao , Changhong; Northwest Institute of Mechanical & Electrical Engineering Li
This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity indexIn order to optimize the parameters of fractional order PID controller of complex system, an adaptive particle swarm optimization (PSO) method is proposed to realize the parameters adjustment. In this algorithm, the tuning particle population is divided into three subgroups firstly, and through introducing the swarm-aggregation degree factor and the evolution speed factor of particle, dynamically adjusting the inertia weight and size of subgroups respectively, setting to find optimal objective according to the time-domain performance index of the system, and then the controller parameter tuning is realized by iterative calculation. Finally, adaptive particle swarm optimization method of fractional order PID controller is applied to integer order and fractional order of the controlled system for performance simulation in time domain analysis. The experimental results show that the proposed method could improve the performance of the control system and has strong anti-interference ability.
Volume: 14
Issue: 2
Page: 478-488
Publish at: 2016-06-01

Design a Optimum MPPT Controller for Solar Energy System

10.11591/ijeecs.v2.i3.pp545-553
F. R. Islam , K. Prakash , K. A. Mamun , A. Lallu , R. Mudliar
Solar energy is compared to be the best potential source of renewable energy in Pacific region. For this reason a photovoltaic cell is needed to harvest this kind of energy, gathering the most of it and the PV having a good efficiency.  The maximum efficiency is achieved when the PV works at its Maximum Power Point which entirely depends on the irradiation and temperature. This paper proposes a new design of hybrid Maximum Power Point Tracking and a comparative study is made with various existing MPPT techniques which include Perturb and Observe method, Incremental Conductance and Fuzzy Logic. From the comprehensive comparison study between existing MPPT technique and the proposed MPPT technique/theory, a hardware setup was demonstrated to verify the proposed design by charge controller in photovoltaic systems to which maximize the output power under various lighting conditions. The design is based on the computed results using the buck-boost DC-DC conveter. From the simulation, the proposed method tends to show better performance with almost no oscillations around the MPP.
Volume: 2
Issue: 3
Page: 545-553
Publish at: 2016-06-01

Low Complexity Sparse Channel Estimation Based on Compressed Sensing

10.12928/telkomnika.v14i2.3147
Fei; Chongqing Key Laboratory of Optical Communication and Networks, Chongqing University of Posts and Telecommunications Zhou , Yantao; Chongqing Key Laboratory of Optical Communication and Networks, Chongqing University of Posts and Telecommunications Su , Xinyue; Chongqing Key Laboratory of Optical Communication and Networks, Chongqing University of Posts and Telecommunications Fan
In wireless communication, channel estimation is a key technology to receive signal precisely. Recently, a new method named compressed sensing (CS) has been proposed to estimate sparse channel, which improves spectrum efficiency greatly. However, it is difficult to realize it due to its high computational complexity. Although the proposed Orthogonal Matching Pursuit (OMP) can reduce the complexity of CS, the efficiency of OMP is still low because only one index is identified per iteration. Therefore, to solve this problem, more efficient schemes are proposed. At first, we apply Generalized Orthogonal Matching Pursuit (GOMP) to channel estimation, which lower computational complexity by selecting multiple indices in each iteration. Then a more effective scheme that selects indices by least squares (LS) method is proposed to significantly reduce the computational complexity, which is a modified method of GOMP. Simulation results and theoretical analysis show the effectivity of the proposed algorithms.
Volume: 14
Issue: 2
Page: 538-547
Publish at: 2016-06-01

Delta-Polygon Autotransformer Based 24-Pulse Rectifier for Switching Mode Power Supply

10.12928/telkomnika.v14i2.2652
Chun-ling; Lanzhou Jiaotong University Hao , Xiao-qiang; Lanzhou Jiaotong University Chen , Hao; Lanzhou Jiaotong University Qiu
This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity indexIn medium and high power capacity switching mode power supply (SMPS), power quality at the AC side is often severely distorted. In this paper, a small magnetic rating delta-polygon autotransformer based 24-pulse rectifier feeding SMPS is designed, constructed, and simulated for harmonic mitigation. Various auto-wound transformers for the 24-pulse AC-DC converter are discussed and compared in terms of magnetic rating and power quality indices, in order that the optimal autotransformer structure can be chosen. The effect of load variation on the proposed 24-pulse rectifier is also analyzed. Moreover, performance of the 6-, 12-, and 18-pulse rectifiers based on delta-polygon autotransformer are studied through comparison. Results demonstrate that the total harmonic distortion of utility current is lower than 6.10% and unity power factor is achieved under varying load. 
Volume: 14
Issue: 2
Page: 431-439
Publish at: 2016-06-01

Features Deletion on Multiple Objects Recognition using Speeded-Up Robust Features, Scale Invariant Feature Transform and Randomized KD-Tree

10.12928/telkomnika.v14i2.3461
Samuel Alvin; Satya Wacana Christian University Hutama , Saptadi; Satya Wacana Christian University Nugroho , Darmawan; Satya Wacana Christian University Utomo
This paper presents a multiple objects recognition method using speeded-up robust features (SURF) and scale invariant feature transform (SIFT) algorithm. Both algorithms are used for finding features by detecting keypoints and extracting descriptors on every object. The randomized KD-Tree algorithm is then used for matching those descriptors. The proposed method is deletion of certain features after an object has been registered and repetition of successful recognition. The method is expected to recognize all of the registered objects which are shown in an image. A series of tests is done in order to understand the characteristic of the recognizable object and the method capability to do the recognition. The test results show the accuracy of the proposed method is 97% using SURF and 88.7% using SIFT.
Volume: 14
Issue: 2
Page: 692-698
Publish at: 2016-06-01

Design of Robust UPFC Based Damping Controller Using Biogeography Based Optimization

10.11591/ijeecs.v2.i3.pp554-565
S.Ali Abbas Al-Mawsawi , Anwer Haider , S.Ahmed Al-gallaf
In this paper a new optimization algorithm, the biogeography based optimization (BBO) is employed to design a robust power oscillation damping (POD) controller using unified power flow controller (UPFC). The controller that is used to damp low frequency oscillation is designed over a wide range of operating points using two different objective functions. The obtained controllers are then verified through time-domain simulation over different loading conditions with different system uncertainties introduced.
Volume: 2
Issue: 3
Page: 554-565
Publish at: 2016-06-01

Application of Artificial Fish Swarm Algorithm in Radial Basis Function Neural Network

10.12928/telkomnika.v14i2.2752
Yuhong; Agricultural University of Hebei Zhou , Jiguang; Hebei Normal University Duan , Limin; Agricultural University of Hebei Shao
Neural network is one of the branches with the most active research, development and application in computational intelligence and machine study. Radial basis function neural network (RBFNN) has achieved some success in more than one application field, especially in pattern recognition and functional approximation. Due to its simple structure, fast training speed and excellent generalization ability, it has been widely used. Artificial fish swarm algorithm (AFSA) is a new swarm intelligent optimization algorithm derived from the study on the preying behavior of fish swarm. This algorithm is not sensitive to the initial value and the parameter selection, but strong in robustness and simple and easy to realize and it also has parallel processing capability and global searching ability. This paper mainly researches the weight and threshold of AFSA in optimizing RBFNN. The simulation experiment proves that AFSA-RBFNN is significantly advantageous in global optimization capability and that it has outstanding global optimization ability and stability.
Volume: 14
Issue: 2
Page: 699-706
Publish at: 2016-06-01
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