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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 103 Documents
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Search results for , issue "Vol 12, No 3: March 2014" : 103 Documents clear
Modeling and Simulation for the Drivetrain of Reversal Stubble-breaking Rototiller Based on SolidWorks and ADAMS Li Chao Xu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Rototiller was one kind of agriculture machinery which was widely used in the countryside, and traditional corotation stubble-breaking rototillers exsisted the deficiencies in narrow work width, high energy-consumption, poor vegetation coverage and soil-breaking performance. Aiming at the shortage of traditional rototillers, a reversal stubble-breaking rototiller was designed in this paper. On the basis of expounding the structure and working principle of the rototiller drivetrain, the virtual prototype model of the rototiller transmission was established by using SolidWorks, and its movement simulation was made by applying ADAMS, the simulation results in different engine speed of 65.685rad/s and 98.99rad/s showed that the rotating direction of each gear was in accordance with the real situation, the maximum rotational speed error between the simulation and theoretic calculation of the transmission was 1.02%, and the established virtual prototype had higher precision, which provided a prerequisite for dynamics analysis and optimization design of the drivetrain of reversal stubble-breaking rototiller. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4677
Quality Evaluation Model of Information Reconstruction via Electromagnetic Emanation Zidong Zhang; yuanhui Yu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Electromagnetic emanations from IT device may leak information they process. By analyzing the characteristics of electromagnetic emanations, eavesdropper could reconstruct critical information. Particularly information displayed on monitor faces a serious security risk. Although various electromagnetic information leakage countermeasures have been proposed try to solve the information security problems, their effectiveness evaluations are mostly subjective. The comparison of their efficiency and the evaluation of information reconstruction implementations are challenging issues, no reliable quantitative metric available. From the information theory point of view, this paper presents an evaluation model for assessing monitor information reconstruction through electromagnetic emanations. By a reconstruction experiment, the amount of information leakage and information reconstruction is implemented and analyzed. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4467
Task view reduction Algorithm based on Rough sets in Gloud Storage Yiyi Xu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Knowledge reduction is one of the important research issues in rough set theory, which applies knowledge reduction theory to reduction the massive task sets in Gloud storage. At first, an equivalence class evolved from subviews will be obtained after task update, Then, a parallel running strategy is designed for large-scale data , and calculate the optimal attributes based on the task set with minimal time overhead, to this end, delete redundant views according to the optimal attribute sets. Finally, the optimized task combination views are obtained. Simulation results shows it has better overall performance in time span, runtime, speed-up ratio and scalability when compared with the original algorithm that under same conditions, the actual examples used in analysis indicate the effectiveness of this method. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4282
Using The Heuristic Genetic Algorithm in Multi-runway Aircraft Landing Scheduling Feng Xiao-rong; Feng Xing-jie; Zhao Rui
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Flights landing scheduling problem is an NP-hard problem, the article presents a heuristic genetic algorithm for multi-runway flights landing scheduling problem. The algorithm is based on a single chromosome coding and dynamic way flights runway allocation, then selects the center gene by the information entropy of each gene, and uses variation of the local search method to solve the slow convergence and easy to fall into local optimum of genetic algorithm. Compared with traditional genetic algorithm, the method can quickly give the better flight approach and landing order to reduce flight delays by the experimental results.  DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4488
Full Order Model of Doubly-fed Wind Generator and Simplified Methods Zhiyan Li; Qihui Liu; Xiaoming Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Based on the control principle of the doubly-fed inductor wind power generator (DFIG for short), this article establishes the full order model, including the converter control model and the control sysem of balde angle, the correctness of the model is verified by hybrid real-time simulation and the electromagnetic numerical simulation, and the model realizes whole operation running characteristic control. In addition, this article puts forward simplified methods of DFIG model innovatively and establishes two different degrees of simplification models with equivalence of the converter model and the generator model respectively. The results by comparing the operating performance of each model under the same operating condition, show that, the two simplified models have high accuracy, and speed up the simulation efficiency effectively, which is suitable for the study of large-scale wind power generation in power system. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4518
Study on Fundamental Principles and Methodologies of Distribution Network Reconfiguration Feng Xiaoke; Shen Weiwei; Dong Chunyu; Zeng Jianliang; Shi Jidong; Wang Dongju
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Distribution network reconfiguration is not only of great use in controlling and improving power distribution system’s operation environment, but also an essential part of the distribution management system. Thus the research on fundamental principles and methodologies of distribution network reconfiguration is very important and meaningful. This article has suggested the principles of distribution network reconfiguration under circumstances of normal operation and service restoration after faults, and one step further focused on typical algorithms applied in the area including optimal power flow algorithm, branch exchange algorithm, simulated annealing algorithm, artificial neural network algorithm, genetic algorithm and tabu search algorithm. Based on specific comparison and analysis, this article summarized characters of different methodologies and pointed out that alterations still have to be made to derive better solution. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4564
Model Reference Adaptive Control Based on Lyapunov Stability Theory Minan TANG; Xiaoming WANG; Jie CAO; Ying LI
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

According to the obvious characteristics of time-varying nonlinear controlled object, in order to improve the control performance, can use appropriate adaptive control strategy. Based on the research object system of a certain amount of input to control variables, according to Lyapunov stability theory, the research object system input/output variable a model reference adaptive control system was design. And after analysis the method to improve the system starting stage characteristics, dynamic process performance and system anti-interference and resistance to process parameters is presented. Simulation and research results show that the proposed control method is effective DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4450
Local Application of Non Negative Matrix Factorization Algorithm in Face Recognition Lou Xiongwei; Huang Decai; Fang Luming; Xu Aijun
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Face recognition is a challenging issue in the field of multi-science, the main contents of the research is how to make computer have the ability of face recognition face recognition technology involved in a lot, which is a key feature extraction and classification method, this paper focuses on the study of related theory. Non-negative matrix factorization trapped MF) algorithm and local non-negative matrix factorization (LNMF) algorithm is a feature extraction method based on local features, has been successfully used in face recognition "but NMF algorithm in face recognition rate is low, although LNMF algorithm to a certain extent, improve the recognition rate, but its price is to increase the number of iterations. In addition, the two algorithms have failed to solve good nonlinear separable problems "the kernel method combined with LNMF algorithm, the kernel local non-negative matrix factorization (KLNMF) algorithm, the first by a nonlinear transformation of the original space to high-dimensional space, making samples linearly separable, and then use the LNMF algorithm to extract face features. In the classification part, paper presents the decision rules of classification of their own, and design based on the NMF subspace classifier. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4356
Urban Ecological Safety Evaluation Based on Fuzzy Matter-Element Theory Tao Xiaoyan
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

There are many tourism cities in China and sustainable development of urban tourism has become an important field of tourism research. An ecological safety evaluation index system of tourism city was constructed. The evaluation index system was composed of resource, environmental, economic and social subsystem. Then an evaluation model based on fuzzy matter-element theory was established. Finally a case study on Kaifeng city was developed. The results showed that there was a tendency of gradual improvement in ecological safety condition of Kaifeng city. However, ecological safety condition during the period belonged to critically safe grade. Therefore, ecological safety condition of Kaifeng was unsatisfactory. The study can provide scientific basis for decision-making of local governments and concerned departments, help people know the influences of tourism activities on ecological environment scientifically and timely, and help tourists advance ecological consciousness. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4659
Prediction of wireless sensor network signal attenuation in plantation environment Liu Hua; Zhang Junguo; Lin Fantao
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Because of wireless sensor network signal attenuation phenomena in the process of transmission in plantation environment, mastering the law of 2.4GHz wireless sensor network signal attenuation in plantation environment has become a key to the rational distribution of wireless sensor networks in the forest. In this paper, an intelligent forecasting method using wavelet and regression analysis approach is presented of prediction of 2.4GHz wireless sensor network signal attenuation in plantation environment. By using wavelet decomposition on the average field strength values in plantation environment, the characteristics in the wavelet scale sequences can be recognized. And by using simple linear regression analysis, the decomposed data can be predicted. Then data after regression analysis can be used in wavelet reconstruction. Finally, the obtained results will be compared with the other average field strength values. The comparison shows that this wavelet and regression analysis method is effective to the prediction of 2.4GHz wireless sensor network signal attenuation. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4429

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