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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 105 Documents
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Search results for , issue "Vol 11, No 12: December 2013" : 105 Documents clear
Temperature Monitoring System Based on PLC Shoucheng Ding; Wenhui Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The programmable controller is an industrial control computer; it is the new automatic device inherited computer, automatic control technology and communication technology. System temperature signal detected by the temperature sensor. The temperature transmitter will be the temperature value converted into a voltage signal of 0-10V into PLC. PLC voltage signal setting compared to the temperature deviation after PID operation; the system will issue a temperature control signal to reach the electric heater voltage control. So that it implements a continuous control of the temperature. The temperature monitoring system in the industrial field has a certain value. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3988 
Secure Digital Certificate Design Based on the Public Key Cryptography Algorithm Zhang Qi ming
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

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
An Embedded Auto-leveling System based on ARM and FPGA Huaiyu Yang; Youping Chen; Bing Chen
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

A kind of embedded auto-leveling control system based on ARM and FPGA is proposed in this article. According to the mechanical structure and the control requirements of high speed drawing frame, the system combines the precision and high frequency of ARM with the internal logic configuration of FPGA. The control algorithm, hardware structure and software structure are discussed in the paper. This method not only allows for quicker and easier developing work bur also enhances the flexibility of the controller. The experiments validate the feasibility of system and clearly show that the presented approach is effective to reduce the sliver unevenness. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3741
Adaptive Iterated Square-Root Cubature Kalman Filter and Its Application to SLAM of a Mobile Robot Zuguo Chen; Xuefeng Dai; LaiHao Jiang; Chao Yang; Biao Cai
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

For the mobile robot Simultaneous Localization and Mapping(SLAM)，a new algorithm is proposed, and named Adaptive Iterated Square-Root Cubature Kalman Filter based SLAM algorithm(AISRCKF-SLAM). The main contribution of the algorithm is that the numerical integration method based on cubature rule is directly used to calculate the SLAM posterior probability density. To improve innovation covariance and cross-covariance, the latest measurements are iteratively used in the measurement updating. The algorithm can reduce linearization error and improve the accuracy of the SLAM algorithm. The algorithm also used adaptive iterating estimation restricted by the iterative sentencing guideline to adjust the proportion of the observation and dynamic model, to make the estimated square root of the error covariance more accurate and reasonable. In experiments, the proposed algorithm is compared with Extended Kalman Filter based SLAM algorithm (EKF-SLAM), Unscented Kalman Filter based SLAM algorithm (UKF-SLAM) and Square-Root Cubature Kalman Filter based SLAM algorithm (SRCKF-SLAM). The results indicate that the proposed algorithm having with the higher accuracy of the state estimation is obtained to compare with the EKF-SLAM algorithm, the UKF-SLAM algorithm and the SRCKF-SLAM algorithm. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3315
Cloud Computing Application of Personal Information's Security in Network Sales-channels Sun Qiong; Min Liu; Shiming Pang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

With the promotion of Internet sales, the security of personal information to network users have become increasingly demanding. The existing network of sales channels has personal information security risks, vulnerable to hacker attacking. Taking full advantage of cloud security management strategy, cloud computing security management model is introduced to the network sale of personal information security applications, which is to solve the problem of information leakage. Then we proposed membership-based cloud service provided selection policy. By exploring the prospects of cloud computing in Internet sales, we try to solve the problem of the security of personal information in this channel. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3619
SOC Estimation of LiFePO4 Battery based on Improved Ah Integral Method Zheng ZHU; Chongyang LIU; Dan LIU; Jinwei SUN
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

State of charge (SOC) is the most important status parameters of energy storage system, which is able to predict the available mileage of electric vehicle. In fact, the accuracy of SOC estimation plays a vital role in the usability and security of the battery. To fully consider the practical demands, a novel method to predict SOC of LiFePO4 battery is presented in this paper, which defines the correct coefficient separately under two working conditions of charging and discharging. Based on effective factors such as coulombic efficiency, charge and discharge current, and temperature, an Ah integral SOC estimation method with two kinds of efficiency correct coefficients is established by performing massive experimental study. Experiments prove that the estimated error of SOC is less than 5%. Compared with the original Ah method, the improved Ah method is more advantageous in the accuracy and reliability. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3016
Retrieving Atmospheric Precipitable Water Vapor Using Artificial Neural Network Approach Wang Xin; Deng Xiaobo; Zhang Shenglan
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Discussing of water vapor and its variation is the important issue for synoptic meteorology and meteorology. In physical Atmospheric, the moisture content of the earth atmosphere is one of the most important parameters, it is hard to represent water vapor because of its space-time variation. High-spectral resolution Atmospheric Infrared Sounder (AIRS) data can be used to retrieve the small scale vertical structure of air temperature, which provided a more accurate and good initial field for the numerical forecasting and the large-scale weather analysis. This paper proposes an artificial neural network to retrieve the clear sky atmospheric radiation data from AIRS and comparing with the AIRS Level-2 standard product, and gain a good inversion results. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3749
Research of Strategic Alliance Stable Decision-making Model Based on Rough Set and DEA Zhang Yi
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

This article uses rough set theory for stability evaluation system of strategic alliance at first. Uses data analysis method for reduction, eliminates redundant indexes. Selected 6 enterprises as a decision-making unit, then select 4 inputs and 2 outputs indexes data, using DEA model to calculate, analysis reasons for poor benefit of decision-making unit, find out improvement direction and quantity for changing, provide a reference for the alliance stability. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3476
Implementation and Optimization of A Fast Inter Prediction Algorithm Xiaoyu Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Audio Video coding Standard is the second generation Source Coding-Decoding standards of China, especially for embedded audio/video platform. This paper proposes an efficient and fast inter prediction algorithm, which is one of the key techniques of Audio Video coding Standard.Reducing of the redundancy in source sequence inter prediction, it could improve the picture quality. The optimization schemes include two aspects,which are the algorithm framework, variables and data structure. Optimized results demonstrate that our algorithm has a notable improvement of the clockcycle efficiency. Furthermore, this research also gives a valuable insight of the combination with quantum information. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.2992
Path Control Experiment of Mobile Robot Based on Supervised Learning Gao Chi; Luo Min Zhou; Zhang Heng
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

To solve the weak capacity and low control accuracy of the robots which adapt to the complex working conditions, proposed that a path control method based on the driving experience and supervised learning. According to the slope road geometry characteristics, established the modeling study due to ramp pavement path control method and the control structure based on monitoring and self-learning. Made use of the Global Navigation Satellite System did the experiment. The test data illustrates that when the running speed is not greater than 5 m / s, the straight-line trajectory path transverse vertical deviation within 士20cm ,which proved that the control method has a high feasibility. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3672

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