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23,675 Article Results

Separability Filter for Localizing Abnormal Pupil: Identification of Input Image

10.12928/telkomnika.v11i4.1200
Retno; Jenderal Soedirman University Supriyanti , Elvin; Jenderal Soedirman University Pranata , Yogi; Jenderal Soedirman University Ramadhani , Tutik Ida; Jenderal Soedirman University Rosanti
 Separability filter method is a reliable method for pupil detection. However, so far this method is implemented for detecting pupil of normal eye, while for abnormal eye such as cataract and glaucoma patients; they have different characteristics of pupil such as color, shape and radius size of pupil. In this paper we propose to use separability filter for detecting pupil of abnormal patients with different characteristics. We faced a problem about radius size, shape and color of pupil; therefore we implemented Hough Transform, Blob area and Brightness for identifying input images before applying separability filter. The experiment results show that we can increase performance of pupil detection for abnormal eye to be 95.65%.
Volume: 11
Issue: 4
Page: 783-790
Publish at: 2013-12-01

Renewable Distributed Generation Models in Three-Phase Load Flow Analysis for Smart Grid

10.12928/telkomnika.v11i4.1152
Syafii; Andalas University Syafii , K. M. Nor; Universiti Teknologi Malaysia K. M. Nor
The paper presents renewable distributed generation (RDG) models as three-phase resource in load flow computation and analyzes their effect when they are connected in composite networks. The RDG models that have been considered comprise of photovoltaic (PV) and wind turbine generation (WTG). The voltage-controlled node and complex power injection node are used in the models. These improvement models are suitable for smart grid power system analysis. The combination of IEEE transmission and distribution data used to test and analyze the algorithm in solving balanced/unbalanced active systems. The combination of IEEE transmission data and IEEE test feeder are used to test the the algorithm for balanced and unbalanced multi-phase distribution system problem. The simulation results show that by increased number and size of RDG units have improved voltage profile and reduced system losses. 
Volume: 11
Issue: 4
Page: 661-668
Publish at: 2013-12-01

A Novel Sensor Fault Detection Method

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2946
Chen Yongqi , Zhao Yiming
To detect the sensor faults of the plant with min-disturbance, a weighted least squares interval regression model is proposed. The output of the proposed model is an interval band which can resist the disturbance influence and give correct sensor fault alarm. Additionally, the time complexity of this model is low because only a set of linear equations can determine the parameters. The experiments of fault instance demonstrate the feasibility and effectiveness of the interval regression model. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3684  
Volume: 11
Issue: 12
Page: 7605-7610
Publish at: 2013-12-01

Palmprint Verification Using Time Series Method

10.12928/telkomnika.v11i4.1187
Agus; Udayana University Anwar , Darma; Udayana University Putra , Agung; Udayana University Cahyawan
The use of biometrics as an automatic recognition system is growing rapidly in solving security problems; palmprint is one of biometric system which often used. This paper used two steps in center of mass moment method for region of interest (ROI) segmentation and apply the time series method combined with block window method as feature representation. Normalized Euclidean Distance is used to measure the similarity degrees of two feature vectors of palm print. System testing is done using 500 samples palms, with 4 samples as the reference image and the 6 samples as test images. Experiment results show this system can achieve a high performance with success rate about 97.33% (FNMR=1.67%, FMR=1.00 %, T=0.036).
Volume: 11
Issue: 4
Page: 749-748
Publish at: 2013-12-01

Identification of Hammerstein Model Based on Quantum Genetic Algorithm

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2894
Zhang Hai Li
Nonlinear system identification is a main topic of modern identification. A new method for nonlinear system identification is presented by using Quantum Genetic Algorithm(QGA). The problems of nonlinear system identification are cast as function optimization overprameter space, and the Quantum Genetic Algorithm is adopted to solve the optimization problem. Simulation experiments show that: compared with the genetic algorithm, quantum genetic algorithm is an effective swarm intelligence algorithm, its salient features of the algorithm parameters, small population size, and the use of Quantum gate update populations, greatly improving the recognition in the optimization of speed and accuracy. Simulation results show the effectiveness of the proposed method. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3008
Volume: 11
Issue: 12
Page: 7206-7212
Publish at: 2013-12-01

Clustering-boundary-detection algorithm based on center-of-gravity of neighborhood

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2907
Wang Gui Zhi
The cluster boundary is a useful model, in order to identify the boundary effectively, according to the uneven distribution of data points int the epsilon neighborhood of boundary objects, this paper proposes a boundary detection algorithm S-BOUND. Firstly, all the points in the epsilon neighborhood of the data objects are projected onto the boundary of the convex hull of the neighborhood, and then calculate the center of gravity of the neighborhood. Finally, detect the boundary object according to the degree of deviation of the center of gravity of the neighborhood with the object. The experimental results show that the S-BOUND algorithm can accurately detect a variety of clustering boundary and remove the noises, the time of performance is also better. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3620
Volume: 11
Issue: 12
Page: 7302-7308
Publish at: 2013-12-01

Secure Digital Certificate Design Based on the Public Key Cryptography Algorithm

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2916
Zhang Qi ming
With the popularity of the Internet, more and more people choose online shopping, however, in the case of lacking security measures, there is a great deal of risk on the Internet. to this situation,In response to this situation, this paper presents a digital certificate based on the X.509 standard. This paper uses the C language generation public key algorithm (RSA). Realization of the digital certificate registration, verification and certificate generation process,the identity of certification users can be verified and provide proof of identity on the Internet transactions, reducing the transaction risks greatly, ensuring the user's property and interests are not infringed. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3824
Volume: 11
Issue: 12
Page: 7366-7372
Publish at: 2013-12-01

Power Balance AODV Algorithm of WSN in Agriculture Monitoring

10.12928/telkomnika.v11i4.1205
Dengyuan; Chongqing Jiaotong University Xu , Shixun; Chongqing Jiaotong University Wu , Benniu; Chongqing Jiaotong University Zhang , Xiaoqin; Chongqing Jiaotong University Qin
 WSN (wireless sensor networks) is a kind of energy-constrained network, which has been widely used in precision agriculture environment monitoring. However, power balance is not taken into account in traditional routing algorithms. In this paper, a novel Power Balance Ad hoc On-Demand Distance Vector (PB-AODV) routing algorithm is proposed on cross-layer design to solve the problem of power balance. The main idea of our proposed algorithm is that, routing path is established by the received signal strength indication (RSSI) value in the route discovery process of PB-AODV. The optimal transmitting power which can be computed by RSSI value, power threshold and node’s surplus energy is encapsulated into route reply packet (RRP). Thus, the sender node can adaptively adjust its transmission power to save energy with the RRP. Simulation results show that the proposed algorithm is effective for load balancing, and increases the WSN’s lifetime about 14.3%.
Volume: 11
Issue: 4
Page: 811-818
Publish at: 2013-12-01

Traffic Prediction Based on SVM Training Sample Divided by Time

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2926
Lingli Li , Hongxia Xia , Lin Li , Qingbo Wang
In recent years, the volume of traffic is rapidly increasing. When vehicles running through the tunnel are more intensive or move slowly, the tunnel environment occurs deteriorated sharply, which affects the normal operation of the vehicle in the tunnel. This paper uses the result of previous mining association rules to select feature items and to establish four training samples divided by time. Then the training samples are utilized to create the SVM classification model. Finally the trained SVM model is used to prediction the tunnel traffic situation. Through traffic situation prediction, effective decisions can be made before traffic jams, and ensure that the tunnel traffic is normal. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3656
Volume: 11
Issue: 12
Page: 7446-7452
Publish at: 2013-12-01

Joint Interference mitigation with channel estimated in Underwater Acoustic OFDM system

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2923
Huang Mei , Sun Haixin , Cheng En , Kuai Xiaoyan , Xu Xiaoka
Multicarrier modulation in the form of orthogonal frequency-division-multiplexing (OFDM) has been actively pursued in underwater acoustic communications. However, carrier frequency offset (CFO) can cause significant performance degradation in OFDM systems. Although underwater acoustic communication was recently the focus of research, literatures about joint interference mitigation with channel estimation using compressed sensing (CS) has been very limited in underwater acoustic OFDM. In the Cyclic prefix orthogonal frequency division multiplexing (CP-OFDM) system, a novel method was proposed which combined interference mitigation with channel estimation based on compressed sensing (CS).The novel joint optimization model combined CFO estimation with CS-based channel estimation based on the sparse in the delay-Doppler domain by using the null sub-carriers. Simulations and tank experiments have verified the performance of the receiver based on the joint interference mitigation and CS channel estimation. This method enables the OFDM system is effective against the CFO, and has better robustness. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.2883
Volume: 11
Issue: 12
Page: 7423-7430
Publish at: 2013-12-01

The Research of Building Fuzzy C-Means Clustering Model Based on Particle Swarm Optimization

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2944
TingZhong Wang , GangLong Fan
Particle Swarm Optimization algorithm is based on iterative optimization tools, system initialization of a group of random solutions, through iterative search for the optimal value. The basic idea of the fuzzy C-means clustering algorithm is to determine each sample data belonging to a certain degree of clustering, and the degree of membership of sample data is grouped into a cluster. Favor optimal solution in the sense of multi-objective particle swarm algorithm is efficient search capabilities. The paper presents the research of Building Fuzzy C-Means Clustering Model Based on Particle Swarm Optimization. Fuzzy c-means clustering is determined membership to each data point belongs to a cluster of a clustering algorithm. Particle Swarm Optimization is the process of the simulated social animals foraging moving group activities work of individual and group coordination and cooperation.  DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3680
Volume: 11
Issue: 12
Page: 7589-7598
Publish at: 2013-12-01

Optimization of Membership Functions for the Fuzzy Controllers of the Water Tank and Inverted Pendulum with Differents PSO Variants

10.12928/telkomnika.v11i4.1182
Resffa; Tijuana Institute of Technology Fierro , Oscar; Tijuana Institute of Technology Castillo , Fevrier; Tijuana Institute of Technology Valdez , Patricia; Tijuana Institute of Technology Melin
 In this paper the particle swarm optimization metaheuristic and two of its variants (inertia weight and constriction coefficient) are used as an optimization strategy for the design of optimal membership functions of fuzzy control systems for the water tank and inverted pendulum benchmark problems. Each variant has its own advantages in the algorithm, allowing the exploration and exploitation in different ways and this allows finding the optimal solution in a better way.
Volume: 11
Issue: 4
Page: 699-714
Publish at: 2013-12-01

Global Exponential Stability Analysis of Dynamic Neural Networks with Distributed Delays

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2969
Songhe Jin , Dianbo Ren , Lei He
In this paper, the existence, uniqueness and globally exponential stability of the equilibrium point of a dynamic neural network with distributed delays were studied without assumption of boundedness and differentiability of activation functions. Sufficient criteria for existence, uniqueness and global exponential stability of the equilibrium point of such neural networks were obtained based on the knowledge of M-matrix, topology and Lyapunov stability theory. A test matrix was constructed by the weight matrix and the conditions satisfying activation functions of the neural networks. A neural network has a unique equilibrium point and is globally exponential stable if the test matrix is an M-matrix. Since the criterion is independent of the delays and simplifies the calculation, it is easy to test the conditions of the criterion in practice. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.2548
Volume: 11
Issue: 12
Page: 7787-7792
Publish at: 2013-12-01

Realization to Extend the Orientation Estimation Range of Moving Target on the Ground by a Single Vector Sensor

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2967
Xiaopeng Song , Cong Zhang , Hong Liu , Guojun Zhang , Chenyang Xue
The DOA (direction of arrival) estimation of seismic signals from the moving target on the ground bears great significance for unattended ground systems. The traditional DOA estimation of seismic signals is achieved by a sensor array and its corresponding algorithms. MEMS (Micro-Electro- Mechanical Systems) vector vibration sensor, however, gets the vector information over the propagation of seismic signals and therefore can get a DOA estimation within a certain range through a single vector sensor. This paper proposes a new method to extend the orientation range through the rotation of the MEMS vector vibration axis. The experiment shows that this method shares the merits with simple systematic structure, high sensitivity and less than 5 degrees of error on average, which has an extensive wide application prospect. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3893
Volume: 11
Issue: 12
Page: 7773-7779
Publish at: 2013-12-01

A Study on Sub-pixel Interpolation Filtering Algorithm and Hardware Structural Design Aiming at HEVC

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2941
Wang Gang , Chen Hexin , Chen Mianshu , Liu Yuanyuan
Aiming at the new-generation video compression standard being formulated—HEVC, a kind of sub-pixel interpolation filtering algorithm is proposed (luminance: 1/4 precision, chrominance: 1/8 precision). Based on the algorithm, a hardware design with pipeline structure and high degree of parallelism is put forward. The hardware overhead is reduced by multiplex Wiener filter and the reduction of the size of register array. And the interpolation order of vertical priority is adopted to reduce the reading bandwidth of the storage. It is indicated from the performance analysis that this interpolation structure possesses better performance and smaller hardware overhead. This design also takes full consideration of the balance between speed and area, meeting the requirements of processing standard definition and high definition video image. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3676
Volume: 11
Issue: 12
Page: 7564-7570
Publish at: 2013-12-01
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