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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 100 Documents
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Search results for , issue "Vol 11, No 11: November 2013" : 100 Documents clear
An Implementation of Remote Monitoring Standing Tree Diameter at Breast Height Liyuan Jiang; Wenbin Li; Jiangming Kan; Zhibin Hao; Qing Xu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Studies show that there is electric potential difference between the internal part of tree and the soil, but the mechanism is not clear, possibly associated with tree species, environmental factors and DBH (diameter at breast height) of tree. In order to research the mechanism and change rules, it is necessary to measure bioelectricity, environmental factors and DBH of tree, among which the DBH and its growth is an important indicator. A kind of DBH of tree and its growth automatic measuring system has been designed based on the angular displacement sensor. The system can realize remote monitoring function of DBH measurement and the growth, and can be set by structural parameters to measure the size of DBH. In this paper, the experiments require the DBH of tree ranges from 0~40cm, and calculation system can measure the DBH less than 0.0436mm theoretically, meeting the measurement requirements and providing reliable data for researching mechanism of trees. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3489
Strategies and Techniques for Data Compression in Wireless Sensor Networks Wei Song
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The major challenge in designing wireless sensor networks (WSNs) is to resolve the limitation of energy and transmission capacity.  Data compression, as an effective solution, is attracted many attentions. In this paper, a survey is done on the strategies and techniques for data compression in WSNs. And the data compression schemes are divided into two classes: classical methods and the potential technique based on compressed sensing. The basic procedures of each method are further analyzed, and the existing problems are also highlighted. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3507  
Linear Unbiased Optimal Filter for Discrete-Time Systems with One-Step Random Delays and Inconsecutive Packet Dropouts Jian Ding; Shuli Sun
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper is concerned with the linear unbiased minimum variance estimation problem for discrete-time stochastic linear control systems with one-step random delay and inconsecutive packet dropout. A new model is developed to describe the phenomena of the one-step delay and inconsecutive packet dropout by employing a Bernoulli distributed stochastic variable. Based on the model, a recursive linear unbiased optimal filter in the linear minimum variance sense is designed by the method of completing the square. The solution to the linear filter is given by three equations including a Riccati equation, a Lyapunov equation and a simple difference equation. A sufficient condition for the existence of the steady-state filter is given. A simulation shows the effectiveness of the proposed algorithm.  DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3523
Short-term Power Load Forecasting Based on Gray Theory Cui Herui; Bo Tao; Li Yanzi
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Power load forecasting provides the basis for the preparation of power planning, especially the accurate short-term power load forecasting. It can formulate power rationing program of area load reliably and timely, to maintain the normal production and life. This article describes the gray prediction method, and improves GM (1,1) model via processing the original data sequence smoothly, using the correction model of parameteramending parameter values, adding the residual model, and also applying the idea of the metabolism. It conducts an empirical analysis of the 10KV large cable of Guigang Power Supply Bureau in Nan Ping, and verifies the limitations of ordinary gray theory. The improved gray model has a higher prediction accuracy than the conventional GM (1,1) model. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3547  
An Efficient Content Based Image Retrieval Scheme Zukuan WEI; Hongyeon KIM; Youngkyun KIM; Jaehong KIM
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Due to the recent improvements in digital photography and storage capacity, storing large amounts of images has been made possible. Consequently efficient means to retrieve images matching a user’s query are needed. In this paper, we propose a framework based on a bipartite graph model (BGM) for semantic image retrieval. BGM is a scalable data structure that aids semantic indexing in an efficient manner, and it can also be incrementally updated. Firstly, all the images are segmented into several regions with image segmentation algorithm, pre-trained SVMs are used to annotate each region, and final label is obtained by merging all the region labels. Then we use the set of images and the set of region labels to build a bipartite graph. When a query is given, a query node, initially containing a fixed number of labels, is created to attach to the bipartite graph. The node then distributes the labels based on the edge weight between the node and its neighbors. Image nodes receiving the most labels represent the most relevant images. Experimental results demonstrate that our proposed technique is promising.DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3588
The Electric Vehicle Power Design and The Matching Characteristics Analysis of The Transmission System Lei Zhang; Guili Hao; Xiumin Yang; Chunyang Zhou
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

According to the requirements of the performance parameters of chongqing lifan E520 cars, electric vehicles with pure mechanical electronically controlled continuously variable transmission (CVT) were designed and developed. The power function of traction motor was designed firstly. According to the vehicle performance and motor parameters, matching parameters of CVT were calculated and confirmed. The parameters of maximum speed, acceleration time and gradeability of CVT were analyzed and compared. The parameters of the battery pack were designed according to the acceleration capability of electric vehicles, continued driving mileage. Currently, the electric vehicles equipped with pure mechanical electronically controlled CVT have passed the bench test and loading operation. These have proved that the dynamic design and driveline matching design in this paper were correct and achieved a predetermined operating performance and power performance indicator. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3801
Public Evacuation Process Modeling and Simulatiaon Based on Cellular Automata Zhikun Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Considering attraction of the nearest exit, repulsive force of the fire, barrier and its display style, effect of fire exit location on escape time in fire hazard, a mathematical model of evacuation process model was build based on cellular automatic theory. The program was developed by JavaScript. The influencing factors of evacuation were obtained through the simulation model by inputting crew size, creating initial positions of crew and fire seat stochastically. The experimental results show that the evacuation simulation model with authenticity and validity, which has guiding significance for people evacuation and public escape system design. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3484  
Research of Flow Characteristics Hybrid Model of Steam Turbine Stage Based on the Improved PSO Algorithm Zhao Ming; Yan Zhengbo; Zhou Liukun; Wang Huijie; Xu Xiaogang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Power station steam turbine stage flow characteristics show the Corresponding relationship between pressure and flow rate, which is the important research foundation for analysis of steam turbine performance and the further optimization analysis of unit. Based on strict theory analysis, this article obtained two important key characteristic coefficients such as the capacity of flow coefficient and the level of group critical pressure ratio which mainly influenced the turbine characteristics. And then the secondary flow calculation model was imposed combining with the massive actual data, adapting the method of improved PSO algorithm. The practical results show that, the obtained model not only ensured good regularity and ductility, but also has higher calculation precision. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3501
Operational Modal Analysis of Wind Turbine Speed-increase Gearbox LI Yafeng; XU Yuxiu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Speed increase transmission gear box is the primary vibration and noise source of wind turbine, Operational modal method was adopted to collect impact data and response data of each point based on the gearbox test model. ANSYS finite element model is established to simulate the wind turbine gearbox. Then the modal frequencies of the two methods were compared to ensure the test model is correct. The results show that operational modal method can be applied in wind turbine gearbox modal analysis and it has important guiding significance to gearbox fault diagnosis and reliability and maintainability improving. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3518 
The Development of LOHAS Automated Guiding Vehicle Cheng-I Hou; Han-Chen Huang; Tian-Syung Lan
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Automated Guiding Vehicle (AGV) is widely used in factories, hospitals, warehouses, and offices. It can also be controlled remotely to operate under hazardous environments that are unsuitable for human presence. On the other hand, medical advancement and the decrease of birth rate are pushing the world into population aging. For elderly or the physically/mentally-challenged patient, some of the common foot problem includes diabetic foot, myotenositis, having calluses in the soles of the foot, foot deformities, etc. This research is aimed at the design and the implementation of an automated guiding vehicle, which is controlled by PC. Once the input is received from optical sensors, it will pass the information to chip, which will process the information and output the decision to stepping motor to finish the process. The research includes understanding the mechanical design, optical sensor input, defining the control units, and initiating stepping motor. Using BASIC programming, the program is burned onto a chip, which works as the central of the AGV. The result can be applied in barrier-free facilities. This research analyzes the pros and cons of AGV based on its behavior under different scenarios. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3537

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