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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 101 Documents
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Search results for , issue "Vol 12, No 2: February 2014" : 101 Documents clear
Miniaturization Smart Antenna Array Design for TD-SCDMA System Hao Honggang; Hu Wenshuai; Ruan Wei; Chen Wei
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

In view of the development for TD-SCDMA communication system and combine with the miniaturization technology of smart antenna, by using balun feeding structure and consist of splitters and neural networks,  this paper  proposed a four units of dual polarized and a eight units of +45o/-45o polarized antenna array which on the basis of printed dipole antenna. The simulation results show that the isolation of dual-polarized unit between two ports is greater than -26dB, the isolation of 4-unit dual-polarized antenna array between dipole ports are less than -20dB and the 8-unit is less than -18dB. The polarization characteristics and isolation parameter of the proposed antenna has meets the demands of practical applications in the bands of TD-SCDMA communication system and its supplement bands. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3752
Hierarchical Real-time Network Traffic Classification Based on ECOC Yaou Zhao; Xiao Xie; Mingyan Jiang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Classification of network traffic is basic and essential for manynetwork researches and managements. With the rapid development ofpeer-to-peer (P2P) application using dynamic port disguisingtechniques and encryption to avoid detection, port-based and simplepayload-based network traffic classification methods were diminished.An alternative method based on statistics and machine learning hadattracted researchers' attention in recent years. However, most ofthe proposed algorithms were off-line and usually used a single classifier.In this paper a new hierarchical real-time model was proposed which comprised of a three tuple (source ip, destination ip and destination port)look up table(TT-LUT) part and layered milestone part. TT-LUT was used to quickly classify short flows whichneed not to pass the layered milestone part, and milestones in layered milestone partcould classify the other flows in real-time with the real-time feature selection and statistics.Every milestone was a ECOC(Error-Correcting Output Codes) based model which was usedto improve classification performance. Experiments showed that the proposedmodel can improve the efficiency of real-time to 80%, and themulti-class classification accuracy encouragingly to 91.4% on the datasets which had been captured from the backbone router in our campus through a week. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3877
The Oil Layer Recognition Based on Multi-kernel Function Relevance Vector Machines Qianqian Zhao; Xinyuan Xia; Kewen Xia; Zhaozheng Hu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

In the oil layer recognition, Relevance vector machines (RVM) have a good effect. But the single kernel function RVM has some limitations, a kind of multi-kernel function RVM based on particle swarm optimization (PSO) is proposed, which includes the model parameter estimation, model optimization on multi-kernel function RVM, PSO-based training, and recognition. The results of simulation experiment for a typical recognition dataset show that its effect is superior to that of classical RVM and PSO-based single kernel function RVM, and its actual application for oil layer recognition in well logging indicates that the recognition results are completely consistent with the conclusions of oil trial, and it has the high recognition accuracy and the good recognition effect. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4167
Model for Electromagnetic Information Leakage Mao Jian; Li Yongmei; Zhang Jiemin; Liu Jinming
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Electromagnetic leakage will happen in working information equipments; it could lead to information leakage. In order to discover the nature of information in electromagnetic leakage, this paper combined electromagnetic theory with information theory as an innovative research method. It outlines a systematic model of electromagnetic information leakage, which theoretically describes the process of information leakage, intercept and reproduction based on electromagnetic radiation, and analyzes amount of leakage information with formulas. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4010
Robust Tracking Based on Failure Recovery Daode Zhang; Cheng Xu; Yuanzhong Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Object tracking is a issue in the domain of computer visual, most of current state-of-art approaches for visual tracking adapt tracking-by-detection, using detection to address tracking problem. While suitable for cases when the object is always in the sense and these algorithms always results in failures and can’t track back after failure. This paper we propose a tracking method based on failure recovery. After we choose an object to tracking in the first frame, the object is tracked by improved optical flow method forward and backward in time then compute the distance between these two trajectories. While the distance larger then threshold tracking likely to fail, but the latest object model return by detector will re-initialize the tracker. Tracking an object on camera video approve our approach can work at 20fps with long-time robustness. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4214  
Study on Reliability and Lifetime Prediction of High Power LEDs Kailin Pan; Yu Guo; Weitao Zhu; Xin Wang; Bin Zhou
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

With the rapid development of semiconductor lighting technology, the LED will gradually replace the traditional lighting to be the lighting market-led. However, the reliability life of LED products is the key to restrict its development. For further study on the reliability in this paper, the stress accelerated test was adapt to explore the reliability of LED, meanwhile, the failure of failure devices in the test was analyzed, and to study the correlation between the contact thermal resistance change of the LED device structure and the light fades. The finite element software was applied to simulate the work load impact on LED, and the corresponding changes in the internal structure was analyzed as well , then the establishment of the internal structure of the strain and thermal resistance were built . Ultimately, a method which is significant to short the cycle of the LED life prediction was proposed based on the ANSYS simulation. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4415
A Small-sized High-performance Storage Module for High-g Measurement Chu Chengqun; Ren Yongfeng; Zhang Qingzhi; Zheng Yongqiu; Liu Xin
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

The storage capacity, speed and the dimension of the storage device is restricted in the impact test environment. In order to meet high speed data transmission, data logging high reliability requirements in high-g environment measurement, the paper presents the design of a miniature high-performance memory module.The module using a high-speed serial transceiver as the input interface, and through the FPGA to achieve real-time processing the high-speed data store into the large capacity memory chip. The dimension of the circuit module is merely 33mm×33mm but the storage rate can be up to 60Mbyte/s, and the capacity is 8Gbyte. Ensuring continuous and reliable operation requires a dedicated buffer for the data transmission. The paper proposes a multilevel high-speed buffer structure based on the field programmable gate array technology for speeding up data access. Then, the paper presents a protection shell for the circuit module, which introduces a steel shell filled with two-component epoxy resin for the protection in the high-g harsh environment.  At the test of projectile penetrate the concrete; the impact acceleration peak is up to 1.42×105g. But the data storage module is stable and the inner circuit is well work under the impact, which validates the anti-impact protective structure designed by the method has the higher reliability. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3785
Research of Image Matching Based on Improved SURF Algorithm Feng Qi; Xu Weihong; Li Qiang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

In the study, it presents an efficient algorithm based on SURF (Speeded Up Robust Features). The method applies the SURF algorithm in the detection and description for image features, first it applies the SURF feature detector in extracting reference images and matching feature points in the image, respectively, then it uses DAISY algorithm instead of the SURF algorithm to calculate the character description of each feature point vector. In the process of feature points matching, the false matching points are eliminated through RANSAC algorithm. Finally, according to the rest of the match point, it can estimate the space geometric transformation parameters between two images and thus matching process is completed. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3951
Risk Evaluation Approach and Application Research on Fuzzy-FMECA Method Based on Cloud Model Zhengjie Xu; Youpeng Zhang; Hongsheng Su
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

In order to safeguard the safety of passengers and reducemaintenance costs, it is necessary to analyze and evaluate the security risk ofthe Railway Signal System. However, the conventional Fuzzy Analytical HierarchyProcess (FAHP) can not describe the fuzziness and randomness of the judgment,accurately, and once the fuzzy sets are described using subjection degreefunction, the concept of fuzziness will be no longer fuzzy. Thus Fuzzy-FMECAmethod based on cloud model is put forward. Failure Modes Effects andCriticality Analysis (FMECA) method is used to identify the risk and FAHP basedon cloud model is used for determining the subjection degree function in fuzzymethod, finally the group decision can be gained with the syntheticallyaggregated cloud model, the method’s feasibility and effectiveness are shown inthe practical examples. Finally Fuzzy-FMECA based on cloud model and theconventional FAHP are used to assess the risk respectively, evaluation resultsshow that the cloud model which is introduced into the risk assessment ofRailway Signal System can realize the transition between precise value andquality value by combining the fuzziness and randomness and provide moreabundant information than subjection degree function of the conventional FAHP. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3886
Designers' Cognitive Thinking Based on Evolutionary Algorithms Zhang Shutao; Jianning Su; Chibing Hu; Peng Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

The research on cognitive thinking is important to construct the efficient intelligent design systems. But it is difficult to describe the model of cognitive thinking with reasonable mathematical theory. Based on the analysis of design strategy and innovative thinking, we investigated the design cognitive thinking model that included the external guide thinking of "width priority - depth priority" and the internal dominated thinking of "divergent thinking - convergent thinking", built a reasoning mechanism of design information with the thinking mathematics theory and established a product image form design model with the generalized interactive genetic algorithm. The example of testing machine form design shows that the method is reasonable and feasible. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3804

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