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24,092 Article Results

A Lyapunov Approach to Control Design for Grid-Connected Inverters

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3400
Vu Tran , Mufeed MahD
This paper develops a Lyapunov approach to control design for grid connected inverter. The control objective is to track a reference current which is proportional to the fundamental harmonic of the grid voltage. By using the internal model principle, the grid voltage and the reference current are described as the outputs of an autonomous linear oscillatory system. A state space description for the whole system is obtained by combining the state of the inverter circuit and that of the oscillatory system for the grid voltage. Based on the state space description, a Lyapunov approach is developed to design a state-feedback controller for tracking a reference current with minimal tracking error. The Lyapunov approach ensures internal stability and makes efficient use of the structural information, such as the total harmonic distortion (THD) of the grid voltage, and the magnitude/phase of the reference current. The effectiveness of the Lyapunov approach is validated via SimPower simulation. A real circuit is built using microcontroller ezDSP28335, the output current obtained is in phase with the grid voltage and has small THD, as we expected. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.5362
Volume: 12
Issue: 5
Page: 3444-3459
Publish at: 2014-05-01

Research on Real-Time Optimal Path Algorithm of Urban Transport

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3408
Jie Zhang , Jianchun Li , Xiaoyan Fan , Zhuo Deng
Based on the ant colony algorithm, urban real-time traffic optimal path algorithm was designed through restricting search area and search direction of ant colony system, making the real-time traffic and distance as the optimal path weights and regarding intersection turning as the impact of weight value combined with Chinese situation. The algorithm could calculate the optimal path through algorithm complexity test. We obtained a traffic optimal path with timeliness and practical value combined with ant colony algorithm considering multiple parameters.The obtained path enabled user to reach destination within a short time and with the least fuel through actual traffic test. It was regarded as the optimal path. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.3535
Volume: 12
Issue: 5
Page: 3515-3520
Publish at: 2014-05-01

A Fast Beef Marbling Segmentation Algorithm Based on Image Resampling

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3455
Bin Pang , Xiao Sun , Xin Sun , Kunjie Chen
With the miniaturization and portability of online detection and grading equipment, traditional PC is being replaced with ARM or DSP embedded systems in beef quality grading industry. As the low basic frequency of embedded system, the traditional beef marbling segmentation method can not meet requirements of real-time performance. The fast segmentation algorithm of beef marbling based on image resampling is put forward aiming the disadvantages that the traditional method is time-consuming and does not apply to embedded systems. First, the entropies of the original image and resampling image were calculated according to the entropy principle to determine the image resampling rate based on entropy constraint according to the changes of relative information entropy of resampling image. Then fuzzy c-mean (FCM) cluster segmentation was conducted on the resampling image to calculate the beef image segmentation threshold. Finally, beef marbling area is segmented via morphological and logic operations on a series of images. The experimental results show that this proposed algorithm took 0.57s on average in beef marbling image segmentation under the constraints that the loss rate of relative information entropy ranged between 0.5-1.0%, which is only 6.43% of that of the traditional FCM cluster segmentation algorithm, indicating significantly augmented efficiency of segmentation. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4294
Volume: 12
Issue: 5
Page: 3894-3901
Publish at: 2014-05-01

The Agricultural Irrigation District Information System based on Multi-Agent

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3411
Tinghong Zhao , Zibin Man , Huimin Hou
Irrigation district informative construction is an effective way to improve the management and to rational allocate and effectively utility irrigation water resources. This paper is directed against the characteristics such as large-scale monitoring data amount, complex data types, high real-time requirement, strong spatial correlation, etc. combine Multi-Agent theory with irrigation district information system together, and use GSM communication network as the communication network of system, established an agricultural irrigation district information system based on Multi-Agent and GSM, which can full utility intelligent of Agent and the good communication coordination of Multi-Agent system, so to provide comprehensive technical support for irrigation management and decision making. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.3583
Volume: 12
Issue: 5
Page: 3537-3543
Publish at: 2014-05-01

A Moving Objects Detection Method with Resistance to Illumination Change

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3434
Xiaoling Wang , Tao Zhang , Changhong Chang
Moving objects detection is conducted in the sequential image of moving objects, which is favorable to detect, identify and analyze the moving objects. It has been applied in video surveillance, virtual reality, and advanced user interfaces. Based on existing research on the Frame Difference Method (FDM) and the Background Subtraction Method (BSM), considering the short time interval between adjacent images used for difference, FDM is adopted for its smaller impact by scene illumination variation, which is complementary to the drawback that BSM is sensitive to environmental variation; while BSM can detect the integral moving objects, which can also make up the disadvantage of FDM in failing to detect the integral moving objects. In this paper, we propose a moving objects detection method with resistance to illumination change. We conclude from the experiment that this method is noise-proof and can adapt the abrupt change in illumination to ensure accuracy of the detection. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.5094
Volume: 12
Issue: 5
Page: 3719-3727
Publish at: 2014-05-01

Unit Commitment with Battery Energy Storage Considering Wind Forecast Error

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3391
Cai Zhi , Zeng Lili , Zhao Kun , Men Deyue , Zhao Xu , Xu Dan , Dai Sai
The integration of wind resource into the electric grid brings significant challenges due to the variable nature and anti-peak-regulation characteristic of wind power. Based on least square method, an improved normal distribution model is proposed to fit the actual wind power forcast error. Furthermore, considering wind power forecast error and the great potential of battery energy storage system (BESS) technology to mitigate the impact of volatile wind power, a unit commitment (UC) model with large capacity BESS has been estanbished in this study. Case studies with modified IEEE 39-bus system are employed to validate the proposed method. The role of BESS on economics, peak load shifting and accommodating wind power is discussed. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4937 
Volume: 12
Issue: 5
Page: 3357-3365
Publish at: 2014-05-01

Development of a Machine Vision System for Solar Wafer Counting

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3436
Nan Wang , Shuguang Zhang , Man Cheng , Zhenjiang Cai
The traditional manual counting wafers leaded to the silicon wafer cracked by operating frequently. Instead of the manual work, this paper proposed a system to counting wafers based on Machine Vision theory and Image Processing algorithm. We designed a counter system and adopted infrared led as parallel illumination source. In image pre-processing, this paper presented a series of algorithms, which contained image smoothing, uneven image correction and image morphology operation. This paper proposed a vertical projection counting based on statistics analysis substitute for the Hough straight lines detection, and the method had been achieved ideal effects by experimental results. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.5108
Volume: 12
Issue: 5
Page: 3737-3744
Publish at: 2014-05-01

Key Technology of Distributed E-commerce System Architecture

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3466
Guo Xiaohui , Gao Rong , Wei JianYu , Huo Chongning
A new distributed E-commerce architecture is put forward in the study, through the careful analysis of the existing shortcomings of the architecture of the present E-commerce system. The system integrates multi-commercial activities of E-commerce under the loose-coupled service programs so that the architecture of large scale distributed E-commerce system is formed. The trans-regional distributed E-Commerce architecture aims at solving the urgent problems such as resource recomposition and distributed deployment ahead of large commerce systems. Based on it, we propose the global scheme that could be built in the agent-based P2P network or other environment, and the latest software technologies could be used in the servers to publish the cooperation services. As far as the present technology is concerned, Web service P2P and agent technology are good choice, which are the three key supporting technologies of the architecture. Each branch market can be operated and maintained independently regardless of the existence of others, but their order services are to be centrally processed by the order server. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4346
Volume: 12
Issue: 5
Page: 3987-3993
Publish at: 2014-05-01

Research on Operation-based Correlation in Personal Dataspace

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3384
Shuo Jiang , Jiajin Le , Yefeng Li
Operation of user was defined. The weight of operation was expressed. The variable quantity of user behavior was computed by weight. 3-ary vector data definition was expanded. Data item was defined by 4-ary vector in personal dataspace. Correlation of data for user was defined by weight. Current weight of data was defined by initial weight and variable quantity of user operation. A library dataspace model was designed. The weights of data were verified by using a sample in the library dataspace for ten days. The result proved the correlation of data was very important and useful in personal dataspace. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4949
Volume: 12
Issue: 5
Page: 3297-3302
Publish at: 2014-05-01

Adaptive Control for Brushless DC Motor Based on Fuzzy Inference

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3394
Lei Jin-li
Due to the nonlinearity of brushless direct current (BLDC) motor, it is difficult to obtain satisfied control characteristics using proportional integral derivative (PID) controller. A novel adaptive fuzzy control method based on high performance speed control is proposed in this paper, which combines an adaptive parameter adjustment mechanism with fuzzy controller to solve the problems of non-linearity, parameter variations and load excursions that occur in the BLDC motor drive system. The adaptive parameter adjustment mechanism can give better quantization and proportion factors of the fuzzy controller when there are variations in motor parameters or load, hence the fuzzy control rules are changed. The adaptive fuzzy control system is simulated in matlab with the changes of motor parameters and load, the control performance of the traditional PID controller is compared with the adaptive fuzzy controller. The comparison results indicate that the adaptive fuzzy control system has stronger robust and self-adaptive ability, faster response time, and zero overshoot and steady state error, which can satisfy the request of the BLDC motor control system. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4950
Volume: 12
Issue: 5
Page: 3392-3398
Publish at: 2014-05-01

Two Novel Decoding Algorithms for Turbo Codes Based on Taylor Series in 3GPP LTE System

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3402
Jian Wang , Jianping Li , Chaoshi Cai
This paper proposes two novel methods to simply Logarithmic Maximum a posteriori (Log-MAP) algorithm for turbo codes in the Third Generation Partnership Project Long Term Evolution (3GPP LTE). Firstly, we exploit a new function to replace the logarithmic term in the Jacobian logarithmic function based on Taylor series, which has the best approximated accuracy compared with the existing methods. With this method, we get algorithm I. Secondly, to further simplify the complexity, we propose a new piece-wise ladder function to approximate the logarithmic term according to algorithm I. In this way, we obtain algorithm II.  Simulation results show that the performance of the algorithm I is most close to the optimal algorithm. Algorithm II owns the complexity which is similar to the MAX-Log-MAP algorithm, meanwhile it can offer 0.37-0.4db performance gains than MAX-Log-MAP algorithm. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.2547
Volume: 12
Issue: 5
Page: 3467-3475
Publish at: 2014-05-01

Application Research of Cloud-based Education Network Platform

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3468
Hui Zhou , Hong Zeng , Shigang Qín
Cloud Computing is a new application model for decentralized computing which can provide reliable，customized and maximum number of users with minimum resource. The development of cloud computing marks a great leap towards designing a unified，open and flexible educational information platform，sharing educational resources，and diminishing gaps in the use of educational information. This paper introduces the concept，characteristics of cloud computing，and discusses the framework of cloud-computing-based education platform，then take World University City for example，and discuss the significant advantages in the education information platform，which is brought by the technology of cloud computing. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4382
Volume: 12
Issue: 5
Page: 4002-4009
Publish at: 2014-05-01

Shortest Path Analysis Based on Dijkstra's Algorithm in Emergency Response System

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3403
Ni Kai , Zhang Yao-ting , Ma Yue-peng
In emergency situations, finding suitable routes to reach destination is critical issue. The shortest path problem is one of the well-known and practical problems in computer science, networking and other areas. This paper presents an overview on shortest path analysis for an effective emergency response mechanism to minimize hazardous events. Both graph theory and network analysis in GIS was discussed for the purpose of modeling and analyzing traffic networks. A transportation network can be referred to as a valued graph consisting of a set of vertices and a set of edges. In order to compute length of the shortest path from the source to each of the remaining in the graph, we illustrated Dijkstra's algorithm and its program. Based on the integration of Geographic Information System (GIS), web services and Asynchronous JavaScript and XML (Ajax) technologies, we provided a web application for finding optimal routes from locations of specialized response team stations to incidents site so as to maximize their ability to respond to hazard incidents. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.3236
Volume: 12
Issue: 5
Page: 3476-3482
Publish at: 2014-05-01

Acoustic Emission Source Identification Based on Pattern Recognition Method

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3412
Zhigang Feng , Jiu Yao
A new pattern recognition method based on harmonic wavelet packet (HWPT) and hierarchy support vector machine (H-SVM) is proposed to solve the fatigue damage identification problem of helicopter component. In this approach, HWPT is used to extract the energy feature of acoustic emission (AE) signals on different frequency bands and to reduce the dimensionality of original data features. The H-SVM classifier is used to identify the AE source type. A subset of the experimental data for known AE source type is used to train the H-SVM classifier, the remaining set of data is used to test the H-SVM classifier. Also, the pressure off experiment on specimen of carbon fiber materials is investigated. The results indicate that the proposed approach can implement AE source type identification effectively, and has better performance on computational efficiency and identification accuracy than wavelet packet (WPT) feature extraction and RBF neural network classification. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.3587
Volume: 12
Issue: 5
Page: 3544-3554
Publish at: 2014-05-01

Fault Detection and Isolation for GPS RAIM Based on Genetic Resampling Particle Filter Approach

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3457
Ershen Wang , Tao Pang , Ming Cai , Zhixian Zhang
An integrity monitoring system is an inseparable part of global positioning system (GPS). According to the measurement noise feature of GPS receiver and the degeneracy phenomenon and alleviating the sample impoverishment problem in particle filter (PF). An approach to fault detection and isolation (FDI) for GPS receiver autonomous integrity monitoring (RAIM) based on genetic resampling particle filter is proposed. The genetic algorithm (GA) is melted into the re-sampling process of the basic particle filter to solve the particles degeneracy and impoverishment problem. A main GA-aided particle filter (GPF) is used to process all the  measurements to produce the optimal state estimate, several auxiliary GPFs are used to process subsets of measurements to produce the state estimate as detection references. By setting up the log-likelihood ratio (LLR) test to check the consistency of test statistics.The particles in GPF are assorted by weights, in order to reduce the computation complexity of the algorithm, only the lower weight particles participate in genetic operations.By collecting the GPS data from the GPS reciver, the feasibility and effectiveness of the RAIM approach is verified, and comparing with extended Kalman filter (EKF) and PF algorithm. The results show that the approach in the case of non-Gaussian measurement noise can estimate the state accurately, also can successfully detect fault satellite, therefore, improve the reliability of GPS positioning. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4879
Volume: 12
Issue: 5
Page: 3911-3919
Publish at: 2014-05-01
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