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23,675 Article Results

Prediction of Vehicle Trajectory Based on Fuzzy Colored Petri Net

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2710
Chang Wang , Jiahe Qin , Minghua Guo , Yuanxin Xu
Aiming at the difficulty in establishing model to describe vehicle running state, real road test was carried out to capture data which represent the movement of vehicles. Coordinate transformation method and transform relationship among different variable parameters were used to establishing represent model of vehicle movement. By using Petri net which had well layering and time sequence, vehicle trajectory, speed, side slip angle, and yawrate were treated as parameters to describe the movements of vehicle. Domain of discourse and subordinating degree function were confirmed, and fuzzy rules related to controllability and driving comfort were established. Verification tests results show that the Petri net model can describe the vehicle movement accurately, and the predict results of represent parameters were similarly with the real measured data. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3412 
Volume: 11
Issue: 10
Page: 5824-5832
Publish at: 2013-10-01

Ultrasound Image Segmentation based on the Mean-shift and Graph Cuts Theory

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2683
Yun Ting , Gao Mingxing , Wang Yanming
This paper addressed the issue of vascular ultrasound image segmentation and proposed a novel ultrasonic vascular location and detection method. We contributed in several aspects: Firstly using mean-shift segementation algorithm to obtain the initial segementation results of vascular images; Secondly new data item and smooth item of the graph cut energy function was constructed based on the MRF mode, then we put forward swap and  ideas to optimize segmentation results, consequently accurately located the vessel wall and lumen in vascular images. Finally comparison with experts manually tagging results, and appling edge correlation coefficients and variance to verify the validity of our algorithm, experimental results show that our algorithm can efficiently combines the advantages of mean-shift and graph-cut algorithm and achieve better segmentation results. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3346
Volume: 11
Issue: 10
Page: 5600-5608
Publish at: 2013-10-01

Efficiency Analysis of Scale-free Network Cascading Failures under Different Types of Attacks

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2762
Yuanni Liu , Hong Tang , Guofeng Zhao , Yunpeng Xiao , Chuan Xu
Cascading failures are common in most of the networks, which can result in a congestion regime with degradation in the network performance. In order to investigate how a small shock can trigger avalanches mechanisms affecting a considerable fraction of the network, lots of failure models have been constructed. In this paper, Based on our AHP network cascading model, we have estimated how the efficiency will be affected when coefficients of K, S, T changed, we  find the fact  that the network efficiency of BA network is determined by its attacked types, and  the efficiency  is largely influenced by the attacked types of K and S, and under the same number of failure node, the efficiency under attacks of types T and I are relatively higher than that of the efficiency under attacks of types S and K , and the importance I is largely determined by the proportion of T, when the node failure number is equal, the higher proportion of T, the  higher efficiency it is  under I type attacks. We also tabled some proposals for reducing the damage that the networks suffered from the cascading failures. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.2968
Volume: 11
Issue: 10
Page: 6232-6239
Publish at: 2013-10-01

The Application of Compressive Sensing on Spectra De-noising

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2751
Mingxia Xiao , Lu Changhua , Ma Xing , Jiang Weiwei
Through the analyzing of limitations on wavelet threshold filter de-noising, this paper applies wavelet filter based on compressed sensing to reduce the signal noise of spectral signals, and compares the two methods through experiments. The results of experiments shown that the wavelet filter based on compressed sensing can effectively reduce the signal noise of spectral signal. The de-noising effect of the method is better than that of wavelet filter. The method provides a new approach for reducing the signal noise of spectral signals. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3198
Volume: 11
Issue: 10
Page: 6151-6157
Publish at: 2013-10-01

A Comparison of Improved Artificial Bee Colony Algorithms Based on Differential Evolution

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2680
Jianfeng Qiu , Jiwen Wang , Dan Yang , Juan Xie
The Artificial Bee Colony (ABC) algorithm is an active field of optimization based on swarm intelligence in recent years. Inspired by the mutation strategies used in Differential Evolution (DE) algorithm, this paper introduced three types strategies (“rand”,” best”, and “current-to-best”) and one or two numbers of disturbance vectors to ABC algorithm. Although individual mutation strategies in DE have been used in ABC algorithm by some researchers in different occasions, there have not a comprehensive application and comparison of the mutation strategies used in ABC algorithm. In this paper, these improved ABC algorithms can be analyzed by a set of testing functions including the rapidity of the convergence. The results show that those improvements based on DE achieve better performance in the whole than basic ABC algorithm. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3343
Volume: 11
Issue: 10
Page: 5579-5587
Publish at: 2013-10-01

Dual Quaternion Blending Algorithm and Its Application in Character Animation

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2677
Xiang Feng , Wanggen Wan
In this paper we generalize established techniques and blending algorithm for quaternions to dual quaternions to include all rigid transformations, and implement real-time character animation with dual quaternions under the platform of OpenGL. Classical quaternions are restricted to the representation of rotations although combination of matrix calculation and quaternions operator has been a popular tool in character animation since 1990s. In character animation and some other applications of 3D computer graphics, we are actually faced with rigid transformation which just includes translation and rotation. Similar to the way quaternions represent rotations, dual quaternions represent rigid transformations. Algorithms based on dual quaternions own better properties than those based on quaternions in practical applications, which include reduced overhead, increased computational efficiency and coordinate invariance.. Finally we demonstrate the effectiveness and superiority of dual quaternions blending algorithm by cartoon male and female mesh models with the animation of walking and waving. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3339
Volume: 11
Issue: 10
Page: 5553-5562
Publish at: 2013-10-01

Transformer Fault Diagnosis Based on Hierarchical Fuzzy Support Vector Machines

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2712
XIAO Yan-cai , NAN Gui-qing , ZHANG Qing , HAN Xiao
Large power transformer, as the key equipment of power system, plays an influential role to ensure the safe operation of power system. In this paper, transformer fault diagnosis model is built based on Fuzzy Support Vector Machines（FSVM） which combines Support Vector Machines (SVM) with fuzzy degree of membership. Hierarchical classification algorithm for multi-class classification is applied to diagnose the transformer fault. The membership value of the FSVM is obtained by Fuzzy C Means. Parameters of the FSVM model are optimized with Genetic Algorithm (GA). The transformer states are divided into trouble-free(normal), low temperature overheating T1, medium temperature overheating T2, high temperature overheating T3, low-energy discharge D1, high-energy discharge D2, and partial discharge PD. A mass of fault samples are analyzed and the results are compared with those obtained by the methods of Back-Propagation Neural Network (BPNN) and SVM, which shows that the proposed model is more effective and accurate. So the given method of transformer fault diagnosis based on Fuzzy Support Vector Machines is feasible. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3414
Volume: 11
Issue: 10
Page: 5842-5850
Publish at: 2013-10-01

Face Detection Algorithm Based on Multi-orientation Gabor Filters and Feature Fusion

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2730
Chuan Lin , Xi Qin , Guo-liang Zhu , Jiang-hua Wei , Cong Lin
In order to enhance the accuracy of multi-pose and multi-expression face detection, this paper proposes an algorithm based on multi-orientation Gabor feature fusion of mean and variance of sub-images. Firstly, to remove the huge background regions, we segmented images based on YCbCr space and then used two-eye templates to locate faces in skin-color regions by template matching. Secondly, the features were extracted from the face regions which had been removed the nose parts. After filtering by four-direction Gabor filters, the images were divided and then the corresponding constituent parts were formed. Thirdly, we calculated the mean and variance of the constituent parts block by block and processed them with features fusion. At last Support Vector Machine (SVM) and Back Propagation net (BP) were used for classification detection. The experimental results show that the algorithm has higher detection accuracy than other similar algorithms in multi-pose and multi-expression facial detections. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3432  
Volume: 11
Issue: 10
Page: 5986-5994
Publish at: 2013-10-01

Traffic Prediction Based on Correlation of Road Sections

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2673
Xiaodan Huang , Wei Wang
Road section data packet is very necessary for the estimation and prediction in short-time traffic condition. However, previous researches on this problem are lack of quantitative analysis. A section correlation analyzing method with traffic flow microwave data is proposed for this problem. It is based on the metric multidimensional scaling theory. With a dissimilarity matrix, scalar product matrix can be calculated. Subsequently, a reconstructing matrix of section traffic flow could be got with principal components factor analysis, which could display section groups in low dimension. It is verified that the new method is reliable and effective. After that, Auto Regressive Moving Average (A RMA) model is used for forecasting traffic flow and lane occupancy. Finally, a simulated example has shown that the technique is effective and exact. The theoretical analysis indicates that the forecasting model and algorithms have a broad prospect for practical application. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3335
Volume: 11
Issue: 10
Page: 5523-5529
Publish at: 2013-10-01

An Improved Resource Query and Location Algorithm Based on Cloud Computing

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2753
Wuxue Jiang , Jing Zhang , Junhuai Li , Hui Hu
With the continuous development of cloud computing applications, the problems of cloud computing are more and more obvious, such as the lower efficiency of resource search, the lack of network scalability, and some difficulties in management. In this paper, the problems of P2P network and the structural characteristics of the IS-P2P network are studied. On the basis of traditional Chord algorithm, the improvement of the speed of search is made. BiChord: a resource locator and query algorithm based on cloud computing is put forward. The bidirectional routing tables FingerTable and RefingerTable are designed by this algorithm, which adopts the query strategy of bidirectional location of keywords. In addition, the paper also proposes XP query: a message query mechanism based on the structure of the cloud computing. Simulation results show that BiChord has better routing performance than traditional Chord algorithm and the message query mechanism also improves the efficiency of resource queries. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3356
Volume: 11
Issue: 10
Page: 6166-6172
Publish at: 2013-10-01

Fast Intra Prediction Mode Decision Algorithm for HEVC

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2695
Mengmeng Zhang , Jianfeng Qu , Huihui Bai
This paper proposes a novel fast intra-prediction algorithm that exploits the Sobel operator to replace the Hadamard transform used in the Rough Mode Decision (RMD) process of intra prediction in High Efficiency Video Coding (HEVC). First, the Sobel operator is used to calculate the vector direction of each pixel. A judgment is then made on which prediction mode the vector belongs to, and a histogram is applied in the scheme to generate the statistics of prediction modes for each prediction unit. Finally, the prediction mode candidates are placed in the candidate list for the rate-distortion optimization process. Experimental results show that our proposed algorithm for RMD significantly reduces the complexity of the encoder with an acceptable degradation of quality and BD-rate compared with HM7.0. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3396
Volume: 11
Issue: 10
Page: 5703-5710
Publish at: 2013-10-01

Fault-tolerant for Electric Vehicles Drive System Sensor Failure

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2724
Zhang Liwei , Xu Chen , Liu Jie , Wu Jialong
When EV failure happens, it needs to take some fault-tolerant method to ensure people’s safety. When the current sensor and speed sensor are out of work, the software fault-tolerant control algorithm switching strategy can be used. This paper has done theoretical analysis of the rotor field-oriented vectoe control algorithm into the open loop constant V/F control algorithm, and the phase angle compensation method is used to reduce the shock of current and torque, and simulation is done in MATLAB/Simulink.  DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3426
Volume: 11
Issue: 10
Page: 5938-5944
Publish at: 2013-10-01

Optimization Design of a Real-time Embedded Operating System Based on ISO17356

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2703
Jiang Chun-mao , Qu Ming-Cheng , Wu Xiang-hu Hu
This paper distinguishes the differences between dynamic and static operating system from the design target, and discusses the resulting different technologies used when system is implemented. Based on this theory, according to ISO17356 OS specification and using the hardware abstraction layer idea, a simple and efficient static real-time operating system is implemented for ARM architecture, and the kernel contains no more than 3000 lines C codes. With the idea of separating mechanisms and strategies, the internal resources are used as a mechanism to implement different scheduling policies; proposes a priority-based packet scheduling algorithm, which achieves a good performance both in time and space. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3405 
Volume: 11
Issue: 10
Page: 5763-5773
Publish at: 2013-10-01

PD Iterative Self-learning Control for 3R Plane Robot Trajectory Tracking

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2725
Hongwei Gao , Kun Hong , Jinguo Liu , Yuquan Leng , Chuanyin Liu
In order to improve the speed and accuracy of the trajectory tracking control for 3R plane robot, a PD iterative self-learning control algorithm is proposed based on the PD iterative control algorithm. The error of target value and the actual value of this iteration is introduced into the PD learning gain to make the PD learning gain becomes a function of the error and to achieve the effect of self-learning. Simulation analysis of planar 3-link robot trajectory control shows that the proposed algorithm is better than unmodified in speed ability and accuracy. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3427  
Volume: 11
Issue: 10
Page: 5945-5953
Publish at: 2013-10-01

An Experimental Study on the Driving System of Vibratory Feeding

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2713
Liang Han , WeiZhong Wu , YinHang Bian
This paper describes the development of vibratory transmission system, and concentrates on its driving technology. Vibratory feeder is used to transfer parts from one place to another by vibration which plays an important role in assembly automation. Decoupled vibratory feeder (DVF) is a novel feeder which can be excited in two mutual perpendicular directions. In decoupled vibratory feeder system (DVFS), vibration angle, frequency and waveform of driving signals can be easily adjusted in software way, as well as the phase angle between vertical vibration and horizontal vibration, so DVFS has a great superiority. Up to now, two DVFS prototypes have been successfully developed, but the driving technology cannot meet the demands of parts’ smooth moving. The electromagnet, the core of the drive system, should be optimized in its external dimensions and drive performance. And we fabricate a series of electromagnets. To test electromagnet performance, a test system has been designed. Presently, two researches on the electromagnet driving circuit have been made in our laboratory. One method is to receive analog signal from D/A output, then drive electromagnet through power amplifier. The other method actually is to use a switching circuit controlled by PWM technology. In this paper, we used the latter method in the test system and control system. The author makes experience about influencing factors of the electromagnetic force and gets some data. Also, the controller has greatly improved the performance of vibratory feeder. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3415
Volume: 11
Issue: 10
Page: 5851-5859
Publish at: 2013-10-01
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