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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 90 Documents
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Search results for , issue "Vol 11, No 9: September 2013" : 90 Documents clear
Temperature Control of Evaporative Cooler (EC) for Converter Dry Dedusting Li Fangwei; Wang Zhenqing
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The converter dry dedusting is more complicated with higher requirements in automatic control than the wet dust extraction. The key difficult point is the EC temperature control. This paper puts forth a method to effectively deal with the fluctuated-drastically temperature caused by control lagging at the EC outlet in the traditional converter dry dedusting. The EC outlet temperature can be under control of technological requirement by combining controls of proportion, empirical value, fuzziness and PID. The intelligent system is available with parameter auto tuning, which facilitates the on-site debugging greatly for operators. The result of the on-site application suggests that this method can be used to well handle some technological difficulties in the EC temperature control. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3297 
Local Memory Search Bat Algorithm for Grey Economic Dynamic System Mo Yuanbin; Zhao Xinquan; Xiang Shujian
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Control system is a pattern for describing microeconomic performance, so it can provide theory basis for policy-making to make economic performance well and continuously by analyzing and solving the model of economic control system. After analyzing the characteristics of Bat Algorithm (BA), the method to adjust each step of BA is proposed. In the method, each bat took advantage of the optimal location that it had found to guide the direction of search. The result of the case study showed that the proposed algorithm was efficient, then the proposed algorithm was used to solve the grey economic dynamic system, and the results further showed that the method was valid for solving economic control problems. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3149
Sanitizer Dosing Decoupling Control Based on IMC-NN Inverse System Xie Peizhang; Zhou Xingpeng
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Multi tunnels multi pools (MTMP) structure is very common in tap-waterworks, MTMP structure sanitizer dosing system is a complicated system with coupling, large time delay and inertial. Internal model control decoupling based on wavelet neural networks inverse system is introduced to solve the problems. First  order inverse system is identified using wavelet neural networks, this inverse system cascades the original system so that pseudo-linearization system can be obtained, and then this MIMO system can be transformed to SISO system with no coupling. In addition time delay and model error can be overcome by internal model control. Practical application shows that the coupling, time delay and inertial of MTMP sanitizer dosing system is overcome, also this method is able to resist the disturbance and improve the robustness.DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3247
An SVM based Algorithm for Road Disease Detection using Accelerometer Yanjun Ren; Guanghua Wen; Xiuyun Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

A signal processing algorithm based on the principle of support vector machines as well as the analysis to the characteristics of road surface diseases is proposed to detect pavement disease. Measurements from vehicle-mounted sensors (e.g., accelerometers and Global Positioning System (GPS) receivers) are properly combined to produce higher quality road roughness data for road surface condition monitoring. By using the proposed algorithm to identify the measurements, the test results show that this algorithm is suitable for pavement disease detection and is an efficient algorithm. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3264 
Application of Potential Type Electronic Tongue on Milk Discrimination Jinguo Zhang; Chun Pan; Honghui Gao; Hong Men; Yitong Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Four brands of milk based on the potential type electronic tongue are tested by using the principal component analysis (PCA), fuzzy c-means clustering (FCM) algorithm for clustering analysis. Support vector machine (SVM) algorithm is used to forecast category for any brand of milk data, which are extracted from all the data randomly. The results show that potential type electronic tongue can distinguish four brands of milk perfectly, and the forecasting accuracy rate can reach to 100%. Potential type electronic tongue has potential application value in the identification of milk. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3292
A New Efficient Dynamic System Information Scheduling Strategy in TDD-LTE Zhiyuan Shi; Pingbo Chen; Lianfen Huang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The TDD-LTE system information which is also necessary to communicate each other well is a kind of important message between user equipment(UE) and eNodeB. Some important parameters are provided by system information to enable the UE to camp on a cell normally and access to common channel. The system information，of course，can provide the mobility management for UE in idle mode.  On the base station side, there are two kinds of scheduling methods of in the TDD-LTE system, and they are fixed scheduling and dynamic scheduling. The MasterInformationBlock (MIB) and the System Information Block Type1 use the fixed scheduling，while the dynamic scheduling is applied to other System Information Blocks (SIB2~SIB13); and these system information are transmitted on the Downlink Shared Channel(DL-SCH). In consideration of using the radio resources reasonably and not affecting other downlink transmitted data，we proposed a dynamic scheduling strategy of system information based on the base station side. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3309
Interest Excitation Propagation Model for Information Propagation on micro-blogging Hongtao Liu; Hongfeng Yun; Hui Chen; Zhaoyu Li; Yu Wu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

An Information propagation model of micro-blogging is proposed for distinguishing normal and non-normal micro-blogging based on users’ interest excitation, which is abbreviated as IEPM(Interest Excitation Propagation Model for Information).The parameters of the model are clearly associated with the actual propagation and can reflect the characteristics of the propagation feature. The model can distinguish users’ non-autonomous behavior in the propagation process of micro-blogging, which can preliminarily judge that it is a non-normal marketing micro-blogging when it doesn’t meet the general propagation in the model. Quantitative analysis and experiment is performed with the dataset from the representative and typical non-normal micro-blogging in Sina micro-blogging, one of the most popular micro-blogging in China. The results show that the model can better reveal the general propagation laws of micro-blogging, and can distinguish normal and non-normal micro-blogging, which will have theoretical and practical significance to a certain degree. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.2734
Research on Remote Network Bidirectional Detect and Control Model Hongyao Ju; Xin Wang; Fei Luo
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Remote network bidirectional detect and control technologies are the key factors to solve local network allopatry expansibility and management. With studying gateway integration technology, bidirectional VPN technology, identity authentication technology and dynamic host management technology can be integrated into gateway. Thus, bidirectional connect and control among allopatry local networks based on Internet can be solved. Whole area expansibility of local network is realized. With experiment, the model is proved to finish remote bidirectional interconnection of local network automatically and to obtain allopatry local users authority. The equipment detecting and controlling in remote local networks are realized. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3243 
The Blanket Fractal Dimension Based on the Directed Pattern Plate Wang Yan; Cui Zeyan
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Blanket fractal dimension is a kind of fractal dimension,which is usually used in image processing , and doesn't have a direction. This paper will propose to introduce the direction of pixel into the calculation of the Blanket fractal dimension, and use it to detect the edge of image. This algorithm will calculate the new blanket fractal dimension of the image at first, and then detect the edge with the method of the edge segmentation algorithm based on the traditional Blanket fractal dimension. After this, it will eliminate a part of pixels based on the IFS and Collage Theorem. Experiments will show that this algorithm is able to overcome the issue of double-border in the edge segmentation algorithm base on traditional Blanket fractal dimension, and extract the precision edges with the different directions. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3258  
Linear Modelling for Spectral Images Based on Truncated Fourier Series Qiao Chen; Songhua He; Xiangyang Xu; Bo Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Reflectance spectra of hyperspectral images of the natural scenes are supposed to represent the real world better than any certain classes of natural and man-made spectral reflectance. But spectral images contain a large volume of data and place considerable demands on computer hardware and software compared with standard trichromatic image storage and processing. Although principal component analysis (PCA) based low-dimensional linear models have been widely used in spectral image encoding and compression, there is no a single PCA linear model derived from one data set can be guaranteed to accurate represent other data sets. In this study, we proposed a spectral image encoding method by a single linear model constructed by truncated Fourier series, in which a limited number of parameters that is proportional to the highest frequency cut off if the low-pass hypothesis is valid for any of the data sets. In this paper, several groups of hyperspectral images have been processed using truncated Fourier series, the encoded image are analysed in terms of chromaticity and spectral root mean square (RMS) errors. Results show spectral images can be efficiently compressed when the frequency reach certain limit, and the color information can be well preserved, but there are also large variations across different data sets. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3275 

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