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27,404 Article Results

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

A Combined User-order and Chunk-order Algorithm to Minimize The Average BER for Chunk Allocation in SC-FDMA Systems

10.12928/telkomnika.v14i2.3299
Arfianto; Telecommunication Engineering School of Electrical Engineering Telkom University Bandung Indonesia Fahmi , Rina Pudji; Telecommunication Engineering School of Electrical Engineering Telkom University Bandung Indonesia Astuti , Linda; Telecommunication Engineering School of Electrical Engineering Telkom University Bandung Indonesia Meylani , Muhamad; Electrical Engineering Departement, University of Indonesia, Depok, Indonesia Asvial , Dadang; Electrical Engineering Departement, University of Indonesia, Depok, Indonesia Gunawan
A Chunk by chunk-based allocation is an emerging subcarrier allocation in Single Carrier Frequency Division Multiple Access (SC-FDMA) due to its low complexity. In this paper, a combined user-order  and chunk-order allocation for solving chunk allocation problem which minimizes the average BER of all users while improving the throughput in SC-FDMA uplink is proposed. The subcarrier grouping into a chunk of all users on both-order allocations are performed by averaging the BER of a contiguous subcarriers within a chunk. The sequence of allocation is according to the average of users’ BER on user-order allocation and the average of chunks’ BER on chunk-order allocation. The best allocation is determined by choosing one of both-order allocations which provides the smaller BER systems. The simulation results showed that the proposed algorithm can outperform the previous algorithms in term of  average BER and throughput without increase the time complexity.  
Volume: 14
Issue: 2
Page: 574-587
Publish at: 2016-06-01

Analysis of Distributed Power Flow Controller in Power System Network for Improving Power Flow Control

10.11591/ijeecs.v2.i3.pp510-521
Kuldeep Saini , Aakash Saxena , M.R. Farooqi
In this paper, a new power flow controlling device called Distributed Power Flow Controller (DPFC) is presented that offers the same control capability as the unified power-flow controller (UPFC) but with much lower cost and high reliability. The DPFC eliminates the common DC link within the UPFC, to enable the independent operation of the shunt and the series converter. The D-FACTS concept is employed to the series converter to increase the reliability. Multiple low-rating single-phase converters replace the high-rating three-phase series converter, which significantly reduces the cost and increases the reliability. The active power that is exchanged through the common DC link in the UPFC is now transferred through the transmission line at the 3rd harmonic frequency. The DPFC is modeled in a rotating dq-frame. The modeling and analysis of DPFC in a two area two bus interconnected system is done in MATLAB/Simulink environment and comparison between the DPFC and UPFC considering the power flow and cost are also shown. 
Volume: 2
Issue: 3
Page: 510-521
Publish at: 2016-06-01

State-space Modelling and Digital Controller Design for DC-DC Converter

10.12928/telkomnika.v14i2.3042
Oladimeji; Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Bander Seri Iskander, 32610 Perak Ibrahim , Nor Zaihar; Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Bander Seri Iskander, 32610 Perak Yahaya , Nordin; Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Bander Seri Iskander, 32610 Perak Saad
The recent development in digital technology offers better platform for easy implementation of advance control algorithm in power converter design making digital control a viable alternative to analogue counterpart. Controller design for power converters has been very challenging due to non-linear characteristics of power switches, the supply voltage variability, load current changes and circuit element variation. This paper presents dynamic averaged state-space modelling of non-ideal dc-dc boost converter with parasitic and digital controller design for boost converter using digital redesign and direct digital design methods. The system was simulated in Matlab/Simulink to investigate the dynamic performance of the two controllers’ transient response, control bandwidth and response to variable supply voltage. The results demonstrated fast transient and wide control bandwidth for tight voltage regulation of variable input voltage.
Volume: 14
Issue: 2
Page: 497-506
Publish at: 2016-06-01

Remote Sensing Image Fusion Scheme using Directional Vector in NSCT Domain

10.12928/telkomnika.v14i2.2747
Baohui; Henan Vocational & Technical College of Communications Tian , Lan; Henan Vocational & Technical College of Communications Lan , Hailiang; Zhengzhou University of Light Industry Shi , Yunxia; Zhengzhou University of Light Industry Pei
This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity indexA novel remote sensing image fusion scheme is presented for panchromatic and multispectral images, which is based on NonSubsampled Contourlet Transform (NSCT) and Principal Component Analysis (PCA). The fusion principles of the different subband coefficients obtained by the NSCT decomposition are discussed in detail. A PCA-based weighted average principle is presented for the lowpass subbands, and a selection principle based on the variance of the directional vector is presented for the bandpass directional subbands, in which the directional vector is assembled by the NSCT coefficients of the different directional subbands but the same coordinate. The proposed scheme is tested on two sets of remote sensing images and compared with some traditional multiscale transform-based image fusion methods, such as discrete wavelet transform, stationary wavelet transform, dual-tree complex wavelet transform, contourlet transform. Experimental results demonstrate that the proposed scheme provides superior fused image in terms of several relevant quantitative fusion evaluation indexes.
Volume: 14
Issue: 2
Page: 598-606
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

Design of AC Charging Interface and Status Acquisition Circuit for Electric Vehicles

10.12928/telkomnika.v14i2.3676
Kun; Zhoukou Normal University Xu , Li; Zhoukou Senior Technical School Li
To address the unreliable charging of new charging interfaces caused by comprehending deviation on China’s alternating current (AC) charging interface standard for electric vehicles, implementation methods of AC charging interface circuit, control pilot (CP) circuit, and status acquisition circuit for electric vehicles were proposed in this study. Basic principle and functions of the CP circuit were discussed, and influences of resistance parameters on voltage state at test point were analyzed. Freescale MC9S12XEQ512 was used as the main controller, and its integrated pulse-width modulation module and analog-to-digital converter module were used to simplify circuit designs. An experimental test on charging interface connection confirmation, CP, output power parameter passing, and real-time charging connection status acquisition was conducted on real vehicles. Results demonstrated that the designed circuits exhibit high security and meet the basic requirements of GB/T20234-2 with regard to AC charging interface characteristics. All test data are within the allowed error range. Furthermore, real-time monitoring of the charging process and security isolation design of signals can effectively improve the system stability. Hence, this technology can be used in AC charge control of electric vehicles.
Volume: 14
Issue: 2
Page: 449-455
Publish at: 2016-06-01

Fuzzy-based Spectral Alignment for Correcting DNA Sequence from Next Generation Sequencer

10.12928/telkomnika.v14i2.2395
Kana Saputra; Bogor Agricultural University S , Wisnu Ananta; Bogor Agricultural University Kusuma , Agus; Bogor Agricultural University Buono
Next generation sequencing technology is able to generate short read in large numbers and in a relatively short in single running programs. Graph based DNA sequence assembly used to handle these big data in assembly step. The graph based DNA sequence assembly is very sensitive to DNA sequencing error. This problem could be solved by performing an error correction step before the assembly process. This research proposed fuzzy inference system (FIS) model based spectral alignment method which can detect and correct DNA sequencing error. The spectral alignment technique was implemented as a pre-processing step before the DNA sequence assembly process. The evaluation was conducted using Velvet assembler. The number of nodes yielded by the Velvet assembler become a measure of the success of error correction. The results shows that FIS model based spectral alignment created small number of nodes and therefore it successfully corrected the DNA reads.
Volume: 14
Issue: 2
Page: 707-714
Publish at: 2016-06-01

Dynamic Stability Analysis of Generator with Power System Stabilizers Using Matlab Simulink

10.11591/ijeecs.v2.i3.pp501-509
Marizan Sulaiman , Hayfaa Mohammed Hussein , Rosli Omar , Zulhisyam Salleh
 The dynamics in single machine been connected to an infinite power system bus is analyzed in this paper. This analysis requires certain amount of system modeling level. The main components of the system models are excitation system, synchronous machine and the Power System Stabilizer. The Simulink /Matlab are used as the programming tool for analyzing this system performance. Design optimization arobust PSS based on Genetic Algorithm (GA) approach has been improvement. A proper design is required for this Power System Stabilizer (PSS) performance using the Particle Swarm Optimization (PSO) to archieve this. Then the implemented of the model and response of the dynamic system is been analyzed. The designed without PSS showed an unacceptable system response since as shown in the simulation results, system response with PSS proven to have improvements and PSS succeeding in  stabilizing an unstable system. Therefore this leads to stability of the performance of the generator.
Volume: 2
Issue: 3
Page: 501-509
Publish at: 2016-06-01

Improved Indoor Location Systems in a Controlled Environments

10.12928/telkomnika.v14i2.2901
Selcuk; Akdeniz University Helhel , Atalay; Akdeniz University Kocakusak
The precise localization by using Wi-Fi Access Point (AP) has become a very important issue for indoor location based services such as marketing, patient follow up and so on. Present AP localization systems are working on specially designed Wi-Fi units, and their algorithms using radio signal strength (RSS) exhibit (relatively) high errors, so industry looks more precise and fast adaptable methods. A new model considering/eliminating strong RSS levels in addition to close distance error elimination algorithm (CDEEA) combined with median filters has been proposed in order to increase the performance of conventional RSS based location systems. Collecting local signal strengths by means of an ordinary WiFi units present on any laptop as a receiver is followed by the application of CDEEA to eliminate strong RSS levels. Median filter is then applied to those eliminated values, and AP based path loss model is generated, adaptivelly. Finally, the proposed algorithm predicts locations within a maximum mean error of 2.96m for 90% precision level. This achievement with an ordinary wifi units present on any commercial laptop is comparably at very good level in literature.
Volume: 14
Issue: 2
Page: 748-756
Publish at: 2016-06-01

An Optimum Database for Isolated Word in Speech Recognition System

10.12928/telkomnika.v14i2.2353
Syifaun; Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada Department of Library and Information Science, Islamic State University Sunan Kalijaga Yogyakarta Nafisah , Oyas; Deparment of Electrical Engineering and Information Technology, Universitas Gadjah Mada Wahyunggoro , Lukito Edi; Deparment of Electrical Engineering and Information Technology, Universitas Gadjah Mada Nugroho
Speech recognition system (ASR) is a technology that allows computers receive the input using the spoken words. This technology requires sample words in the pattern matching process that is stored in the database. There is no reference as the fundamental theory to develop database in ASR. So, the research of database development to optimize the performance of the system is required.  Mel-scale frequency cepstral coefficients (MFCCs) is used to extract the characteristics of speech signal and backpropagation neural network in quantized vector is used to evaluate likelihood the maximum log values to the nearest pattern in the database.  The results shows the robustness of ASR is optimum using 140 samples of data reference for each word with an average of accuracy is 99.95% and duration process is 27.4 msec.  The investigation also reported the gender doesn’t have significantly influence to the accuracy.  From these results it concluded that the performance of ASR can be increased by optimizing the database.
Volume: 14
Issue: 2
Page: 588-597
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

A Systematic Design towards Usability for Novice Designers

10.12928/telkomnika.v14i2.3116
Hoo; Universiti Tunku Abdul Rahman Meei Hao , Azizah; Universiti Kebangsaan Malaysia Jaafar
Dependence on intuitive and experiences would add more complexity in the design process. Novice designers would follow the design of any existing systems without direction. This paper proposed a systematic design approach that provides guidance for novice designers in achieving the targeted usability goal using patterns, and evaluating the prototypes in achieving the determined usability goals. The proposed approach involved the cooperation of experts in providing direction to the novice designers in achieving usability goal in the system design. A collective decision both from users and experts would be gather to give a clear decision of a chosen prototype. Two experiments that followed the proposed approach were conducted with 7 groups or 33 undergraduate students. Ten industry experts, 10 field experts and 29 prospective users were involved in evaluating the appropriate use of the tool to assist them in making decision during comparative prototype evaluation. The result from both experiments concluded the systematic approach could help the novice designers to emphasize usability along the design process. It was observed that the achievement of important goals in their designed prototype could be easily done if pattern selection was provided to the novice designers. The designed tool to assist novice designers has high reliability and high acceptance level of appropriate of use in making decision for the preferred prototype.
Volume: 14
Issue: 2
Page: 715-724
Publish at: 2016-06-01
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