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27,404 Article Results

Low Mutual Coupling Dualband MIMO Microstrip Antenna with Air Gap Parasitic

10.12928/telkomnika.v12i2.50
Yuli Kurnia; Trisakti University Ningsih , Rastanto; Trisakti University Hadinegoro
Long Term Evolution (LTE) is a standard for wireless communication of high-speed data for mobile phones and data terminals. Due to the LTE standard covers a range of many different bands in each country, therefore an antenna with more than one frequency bands become one of the most important needs in LTE antenna. In this paper, a novel triangular dual band MIMO (2x2) antenna with coplanar waveguide (CPW) fed is proposed to be used for LTE application. The proposed MIMO antenna is able to work in dual frequency that will be implemented in Indonesia at 1.8GHz and 2.35GHz. To obtain the optimum design, the characteristic of proposed antenna are numerically investigated through the physical parameters of antenna. The results show that proposed antenna has a compact size and a bandwidth of 100 MHz which is suitable for LTE application
Volume: 12
Issue: 2
Page: 405-410
Publish at: 2014-06-01

Online Imbalanced Support Vector Machine for Phishing Emails Filtering

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3506
Xiaoqing Gu , Tongguang Ni , Wei Wang
Phishing emails are a real threat to internet communication and web economy. In real-world emails datasets, data are predominately composed of ham samples with only a small percentage of phishing ones. Standard Support Vector Machine (SVM) could produce suboptimal results in filtering phishing emails, and it often requires much time to perform the classification for large data sets. In this paper, an online version of imbalanced SVM (OISVM) is proposed. First an email is converted into 20 features which are well selected based on its content and link characters. Second, OISVM is developed to optimize the classification accuracy and reduce computation time, which is used a novel method to adjust the separation hyperplane of imbalanced date sets and an online algorithm to make the retaining process much fast. Compared to the existing methods, the experimental results show that OISVM can achieve significantly using a proposed expressive evaluation method. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.4562
Volume: 12
Issue: 6
Page: 4306-4313
Publish at: 2014-06-01

Handover Decision Mechanism in Interworking Technologies Using Radial Basis Functions

10.11591/ijai.v3.i2.pp79-83
Payal Mahajan , Kuldeep Singh , Hardeep Kaur
As a mobile user travels between radio networks, a handover mechanism is required to vary its radio connection. The persistence of a call is one of the major quality measurements in wireless cellular networks. Handover mechanism permits a cellular network to offer such a facility by again allocating an ongoing call from one base station to another base station. To achieve handover neural network techniques can be used. In this paper, a handover decision mechanism is proposed using Radial Basis function (RBF) of neural networks.
Volume: 3
Issue: 2
Page: 79-83
Publish at: 2014-06-01

Robust Centralized Fusion Kalman Filters with Uncertain Noise Variances

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3559
Wen-juan Qi , Peng Zhang , Zi-li Deng
This paper studies the problem of the designing the robust local and centralized fusion Kalman filters for multisensor system with uncertain noise variances. Using the minimax robust estimation principle, the centralized fusion robust time-varying Kalman filters are presented based on the worst-case conservative system with the conservative upper bound of noise variances. A Lyapunov approach is proposed for the robustness analysis and their robust accuracy relations are proved. It is proved that the robust accuracy of robust centralized fuser is higher than those of robust local Kalman filters. Specially, the corresponding steady-state robust local and centralized fusion Kalman filters are also proposed and the convergence in a realization between time-varying and steady-state Kalman filters is proved by the dynamic error system analysis (DESA) method and dynamic variance error system analysis (DVESA) method. A Monte-Carlo simulation example shows the robustness and accuracy relations. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5490
Volume: 12
Issue: 6
Page: 4705-4716
Publish at: 2014-06-01

Applying Extenics Theory to Motion Performs Evaluation of Numerical Machines

10.11591/ijeecs.v12.i6.pp4849-4853
Chen Liu
The motion performs evaluation indexes of numerical control machine tools (NC) are made of multiple elements. In order to evaluate motion performs of numerical control machine tools objectively, we have applied the extenics theory to establish the matter-element model for the motion performs evaluation of the NC. The relational degree was calculated by introducing the relational function in the extension set theory, and the evaluation indexes weight coefficient of NC were defined by using the 1-9 scale law in AHP (the analytic hierarchy process). A numerical control machine tool as a study object, the motion performs was studied by using the extenics theory. The result indicates that the extenics theory is appropriate for the motion performs evaluation .The motion performs of the evaluated NC was good, the evaluation method possesses a certain practicability.
Volume: 12
Issue: 6
Page: 4849-4853
Publish at: 2014-06-01

Flicker Measurement and Grey Disaster Prediction of Grid-connected Wind Turbines

10.12928/telkomnika.v13i2.993
Zhanqiang; College of Information Engineering, Inner Mongolia University of Technology Zhang , Keqilao; College of Information Engineering, Inner Mongolia University of Technology Meng , Li; College of Information Engineering, Inner Mongolia University of Technology Zhang
Grid-connected operation of large-scale wind turbines(WTs) will have an impact on power quality of electric power systems. Therefore, on the basis of analyzing the International Electrotechnical standard IEC 61400-21, we described the measurement, evaluation method of the flicker of WTs and proposed the method of grey disaster prediction.Active power, reactive power, flicker coefficient and flicker severity of the WTs were tested on the actual wind farm according to the IEC 61400-21 standard. We believed that the flicker severity was a disaster, so used the grey disaster prediction to predict the occurrence time of excessive flicker.Analysis of the test data of flicker was necessary,which could determine the Upper disaster threshold of the flicker.The disaster sequence was made up of the excessive flicker values. The date sequence was extracted from the disaster sequence. Establishing GM (1,1) model for the date sequence was to predict the future disaster date sequence.The experimental results showed that the relative accuracy of the disaster prediction model reached 94.87%, which was suitable for long-term flicker disaster prediction.
Volume: 13
Issue: 2
Page: 391-400
Publish at: 2014-06-01

Real-time Implementation of a xAVS Video Decoder

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3517
Qing Chang , Xin Liu , YaoLi Wang
AVS video decoder consumes a huge number of computation, so real-time implementation of an AVS decoder has some challenging on x86 computing platform. This article describes a xAVS open source project to solve this problem. First of all, the reason for the low efficiency of the code of the existing AVS video decoder open source reference software RM52J_r1 is analyzed according to the description of AVS key technologies and decoding principles in the official documentation. Then according to the main problems of the reference software, re-design the optimized xAVS decoder architecture, and real-time property significantly improved with C code. Finally, use the x86 platform multimedia instruction sets to further optimize xAVS semantic processor. The experimental results show that, under the precondition of ensuring the quality of decoding, the decoding speed of the xAVS decoder for D1 has increased more than 14 times, to fully meet the needs of real-time decoding. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5473
Volume: 12
Issue: 6
Page: 4393-4399
Publish at: 2014-06-01

A New Clustering Algorithm Using Links' Weight to Decrease Consumed Energy in MANETs

10.12928/telkomnika.v12i2.59
Abbas; Islamic Azad University Afsharfarnia , Abbas; Islamic Azad University Karimi
One of the most important problems of clustering algorithms in mobile ad-hoc networks (MANETs) is the relatively low stability in generated clusters which are resulted by rapid clusters destruction and high energy consumption in performing the re-clustering processes. Many algorithms have been provided to increase the clusters stability of which the most significant are weight-based algorithms. In weight-based algorithms, only limited information of each node is used to determine its weight and it causes that the best possible option for cluster-head is not selected. The purpose of this paper is providing one weight-based algorithm in which each node's weight determination is performed not only by using its node information but also its neighbor’s nodes information and this work is performed by determining the links' weight between nodes that provide connections between nodes. Via this method, the best possible options can be selected as cluster-head. In simulations and performed experiments, it is revealed that the generated clusters by our proposed algorithms have very high stability.
Volume: 12
Issue: 2
Page: 411-418
Publish at: 2014-06-01

Visual Surveillance for Hajj and Umrah: A Review

10.11591/ijai.v3.i2.pp90-104
Yasir Salih Ali , Mohammed Talal Simsim
This paper presents advances on crowd management research with specific interest on high density crowds such as Hajj and Umrah crowds. In the past few years, there has been increasing interest in pursuing video analytics and visual surveillance to improve the security and safety of pilgrimages during their stay in Mecca. Despite the fact that visual surveillance research has matured significantly in the rest of the world and had been implemented in many scenarios, research on visual surveillance for Hajj and Umrah application still remains at its early stages and there are many issues that need to be addressed in future research. This is mainly because Hajj is a very unique event that shows the clustering of millions of people in small area where most advanced image processing and computer vision algorithms fail to generate accurate analysis of the image content. There is a strong need to develop new algorithms specifically tailored for Hajj and Umrah applications. This review aims to give attentions to these interesting future research areas based on analysis of current visual surveillance research. The review also pinpoint to pioneer techniques on visual surveillance in general that can be customized to Hajj and Umrah applications.
Volume: 3
Issue: 2
Page: 90-104
Publish at: 2014-06-01

Study on VRPTW based on Improved Particle Swarm Optimization

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3538
Wang Fei
Vehicle routing problem with time windows (VRPTW) is a typical non-deterministic polynomial hard (NP-hard) optimization problem. In order to overcome PSO’s slow astringe and premature convergence, an improved particle swarm optimization (IPSO) is put forward. In the algorithm, it uses the population entropy to makes a quantitative description about the diversity of the population, and adaptively adjusts the cellular structure according to the change of population entropy to have an effective balance between the local exploitation and the global exploration, thus enhance the performance of the algorithm. In the paper, the algorithm was applied to solve VRPTW, the mathematical model was established and the detailed implementation process of the algorithm was introduced. The simulation results show that the algorithm has better optimization capability than PSO. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5395
Volume: 12
Issue: 6
Page: 4543-4549
Publish at: 2014-06-01

A Novel Multi-focus Image Fusion Method Based on Non-negative Matrix Factorization

10.12928/telkomnika.v12i2.69
Yongxin; Northwest University Zhang , Li; Northwest University Chen , Zhihua; Northwest University Zhao , Jian; Northwest University Jia , Jie; Xi'an Community Information Service & Management Center Chen
In order to efficiently extract the focused regions from the source images and improve the quality of the fused image, this paper presents a novel image fusion scheme with non-negative matrix factorization (NMF). The source images are fused by NMF to construct temporary fused image, whose region homogeneityis used to split the source images into regions.The focused regions are detected and integrated to construct the final fused image. Experimental results demonstrate that the proposedschemeis capable ofefficiently extracting the focused regions and significantly improving the fusion quality compared to other existing fusion methods,in terms of visualand quantitative evaluations.
Volume: 12
Issue: 2
Page: 379-388
Publish at: 2014-06-01

Test Device for Liquid Moisture Transport Difference Evaluation of Fabrics

10.11591/ijeecs.v12.i6.pp4724-4730
Bao-guo Yao , Shui-yuan Hong , Jian-chao Wang
A test device was developed and a test method was proposed to characterize the dynamic liquid moisture transport properties of textile fabrics, based on the mechanical equipment, microelectronics, sensors and control system. Derived from the test data, five indices were defined to characterize the dynamic liquid moisture transport difference between two surfaces of textile fabrics. The test principle, the structure of the mechanical equipment and the evaluation method for the dynamic moisture transport difference were introduced. Six types of fabrics made from different textile materials were measured. The one-way ANOVA analysis was carried out to identify the significance of the differences of the indices among the test fabrics. The results show that each evaluation index is significantly different (P
Volume: 12
Issue: 6
Page: 4724-4730
Publish at: 2014-06-01

Finite Element Analysis for Bobbin Tool Friction Stir Welding

10.11591/ijeecs.v12.i6.pp4854-4860
X.M. Liu , J.S. Yao , Z.D. Zou , Y. Cai , H. Meng
With DEFORM-3D finite element software, by thermo-mechanical coupling method, the physical modle for bobbin tool friction stir welding was set up. By this model, the temperature field and flow field of AA 2014 aluminium alloy work plate of 6mm was analyzed, which provides useful information for the investigation of this new process. Simulation results show that the temperature field of the cross section presents symmetry approximately about the mid thickness of the work plate. The high temperature zone has large radius at bottom and top surfaces near the shoulders while small radius at the mid thickness, like a waist, which is verified by the experiments. The relativey highest steady temperature keeps about 360℃. Groove defects are easy to be found in the simulation.
Volume: 12
Issue: 6
Page: 4854-4860
Publish at: 2014-06-01

Geometric Feature Extraction of Batik Image Using Cardinal Spline Curve Representation

10.12928/telkomnika.v12i2.54
Aris; Institut Teknologi Sepuluh Nopember Fanani , Anny; Institut Teknologi Sepuluh Nopember Yuniarti , Nanik; Institut Teknologi Sepuluh Nopember Suciati
Batik is an Indonesian national heritage which has been recognized as a world cultural heritage (world heritage). Batik is widely used as clothing material. The advancement of technology allowed the material optimization in clothing design. Geometrical information of batik image is required in a modul for optimizing clothing design with batik as raw material. Geometric feature extraction of batik image is used to help computer to recognize batik's pattern or motif. This research proposes a method for geometric feature extraction of batik image by using cardinal spline curve representation. The method for geometric feature extraction is divided into 2 processes, i.e., feature extraction for Klowongan and feature extraction for Isen-Isen. Klowongan represents pattern of batik image, whereas Isen-Isen is content patterns of Klowongan. Feature extraction of Klowongan is performed by deleting collinear points from object boundaries until the dominant points are obtained. The dominant points are then used as control points. Feature extraction of Isen-Isen is performed by saving coordinate of every connected components which are also used as control points. Geometry feature of batik image is represented as a set of control points of klowongan and isen-isen. Batik image can be reconstructed by drawing cardinal spline curve using a set of control points in the geometric representation. The experiment shows that the reconstructed images is visually similar with the original batik image.
Volume: 12
Issue: 2
Page: 397-404
Publish at: 2014-06-01

Design and Implementation of Probe Driver Teleoperative Force Feedback System

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3494
Amjad Ali Syed , Xing-guang Duan , Arbab Nighat Khizer , Mengli Mengli , Xiangzhan Kong , Qiang Huang
The basic need of neurosurgery is to insert the probe into the key hole linearly for performing functional neurosurgery, trigeminal neuralgia surgery, biopsies, deep brain stimulation, and stereo-EEG. Recently, tele-robotic systems have been introduced to assist surgeon during invasive procedures to obtain desired results. In this paper, a linear probe driving tele-operative system with force feedback is proposed. The proposed system is highly accurate, stable, and safe and provides haptic transparency to the surgeon during its operation. The master slave architecture, control system and software application are designed to inject and eject probe driving trials. The experiments are performed on a piecewise linear Plasticine model. The accuracy, stability, repeatability of the system and haptic force feedback fidelity are discussed in the results.  DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5277
Volume: 12
Issue: 6
Page: 4215-4221
Publish at: 2014-06-01
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