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24,092 Article Results

The Research of Hydraulic Cylinder Controlled by Digital Valve

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3453
Zhi-hao Liu , Qin-he Gao , Jing-yue Li , Hai-long Niu
This paper aims to research the position control of the hydraulic cylinder controlled by the high-speed on-off valve to realize the precise position control. A compound algorithm of proportional integral & speed feedforward- displacement feedback is put forward based on the research on the relationship between the duty ratio and the past flow for the high speed on-off valve. The speed feedforward-displacement feedback algorithm can solve the hysteresis resulting from the feedback control and be considered as the certain duty ratio is given ahead, and the proportional integral control algorithm is designed and utilized to deal with the position error by adjusting to the duty ratio of high speed on-off valve. The genetic algorithm is used to tune the control parameters, including speed forward coefficient, proportional and integral coefficient of displacement feedback, output coefficient to gain the optimization result, on terms of the performance of the position control system. The mathematics modeling is analyzed and simulated with Simulink using the bulk-cavity-node method, and the hydraulic loop is established to verify the simulation result with the optimized results on the FESTO platform. the research finds that the proposed position scheme is effective to increase the position precision, and the position control parameters optimized by genetic algorithm can decrease the position error more. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4218
Volume: 12
Issue: 5
Page: 3873-3886
Publish at: 2014-05-01

Bayesian Neural Network of Rolling Force Prediction for Hot-Strip Mill

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3441
Xiaodan Zhang , Rui LI , Yanliang YE
For obtaining relative accurate rolling-mill model is difficulty by the simple mathematical method, due to the complexity of the actual production scene and the non-linear relationship between variables, this paper firstly proposes an improved Bayesian regularization neural network model according to these measured data of 1580 production line. In this model, the paper constructs the improved Bayesian neural networks by the introduction of bound terms that represents the network complexity in the objective function. At last, the simulation result proves the effectiveness and validity of the model and the prediction accuracy of the model algorithm is superior to the traditional model. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.5097
Volume: 12
Issue: 5
Page: 3777-3785
Publish at: 2014-05-01

A Convenient Control Strategy of Bearingless Induction Motor Based on Inverse System Method

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3414
Wen-shao Bu , Chun-xiao Lu , Cong-lin Zu
To achieve the reliable control of bearingless induction motor which is a multi-variable and nonlinear object, a convenient decoupling control strategy based on inverse system method is proposed. The reversibility of four-pole torque system was analyzed, and the inverse system models were analysed also. Then the torque system was decoupled into two second-order linear subsystems: one is the rotor speed system; another is the rotor flux system. The suspension control system adopts negative feedback control strategy, and the required air-gap flux linkage of torque system was obtained from the rotor flux and stator current ontime; finally, synthesis and simulation of the decoupling control system for bearingless induction motor were researched. Simulation results have demonstrated that good performance can be achieved. The presented control strategy is feasible. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.3999
Volume: 12
Issue: 5
Page: 3560-3569
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

Comprehensive Evaluation of Reliability of Protection System in Smart Substation

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3437
Jipu Gao , Xu He , Peichao Zhang , Changbao Xu
The reliability of smart substations has a great significance on the safety and stability of smart grid operation. Taking the protection system in smart substation as an example, this paper constructs comprehensive reliability models to evaluate the reliability of smart substations with different architectures. The paper first illustrates two important aspects which affect the reliability of the protection system, namely the network architecture and the maintenance strategy. To satisfy these two aspects, the paper then adopt the Monte Carlo simulation combined with the Reliability Block Diagram method to make quantitative reliability analysis. At last, reliability of four power transformer protection systems applying different maintenance strategies with alternative architectures is evaluated. The simulation results show clearly that advanced maintenance strategies such as conditional maintenance will play a critical role in enhancing the reliability and availability of smart substation. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.5109
Volume: 12
Issue: 5
Page: 3745-3753
Publish at: 2014-05-01

Design of Electronic Medical Record System Based on Cloud Computing Technology

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3469
Pan Chuan Di
According to current status and problems of electronic medical records management system, it combines with the current the latest information technology, cloud computing, and it explores the solution of electronic medical records management system and puts forward the new ideas and methods; Based on the literature and information on cloud computing technology, we summarize the cloud computing theory, architecture, application model, etc. and select the appropriate application platform for the electronic medical records ; Based on the Google cloud computing technology , it focus on Google cloud computing platform Google App Engine and its solution Plan, it makes the research of collaborative electronic medical record system based on Google App Engine. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4392
Volume: 12
Issue: 5
Page: 4010-4017
Publish at: 2014-05-01

A Networking and Data Transmission Mode of Mobile Seismic Station

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3416
Junlei Song , Ying Chen , Dianhong Wang
The networking and data transmission mode of the field mobile seismic station involves such matters as richness, real-time and effectiveness of seismic data. In this paper, we propose a networking and data transmission mode with CAN bus and embedded technology. In light of the effectiveness, distance, cost and construction relating to data transmission in the field environment, CAN bus was utilized to connect the scattered seismic collection nodes, and the embedded microprocessor ARM was used to manage collection nodes within a certain scope. In addition, both the multiple task operating system Linux and application framework Qt were employed to construct a seismic network local management system, which significantly simplified the management task of mobile station. Such networking and data transmission mode shows such features as lower cost, easy construction, and higher reliability and instantaneity, also enables the possibility of constructing a mobile collection station with larger scale. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4916
Volume: 12
Issue: 5
Page: 3578-3585
Publish at: 2014-05-01

The New Algorithms of Weighted Association Rules based on Apriori and FP-Growth Methods

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3477
Ting Liu
In order to improve the frequent itemsets generated layer-wise efficiency, the paper uses the Apriori property to reduce the search space. FP-grow algorithm for mining frequent pattern steps mainly is divided into two steps: FP-tree and FP-tree to construct a recursive mining. Algorithm FP-Growth is to avoid the high cost of candidate itemsets generation, fewer, more efficient scanning. The paper puts forward the new algorithms of weighted association rules based on Apriori and FP-Growth methods. In the same support, this method is the most effective and stable maximum frequent itemsets mining capacity and minimum execution time. Through theoretical analysis and experimental simulation of the performance of the algorithm is discussed, it is proved that the algorithm is feasible and effective. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4770
Volume: 12
Issue: 5
Page: 4071-4078
Publish at: 2014-05-01

Signal Detection Based on Particle Swarm Optimization for MIMO-OFDM System

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3439
ChaoQun Wu , Dan Zhao , JingPeng Gao
In order to overcome the defects of the slow convergence rate of the traditional Genetic Algorithm and basic Particle Swarm Optimization drops into local optimum easily, an improved Particle Swarm Optimization algorithm based on hybrid algorithm is proposed and applied to the signal detection for MIMO-OFDM system. The algorithm optimizes the basic Particle Swarm Optimization algorithm and some problems were solved by means of Particle Swarm Optimization combined with Genetic Algorithm for signal detection. Through the theoretical analysis and the simulation research, this improved algorithm is superior to basic Particle Swarm Optimization algorithm 0.5dB under the same number of iterations and is better than traditional Genetic Algorithm 0.5dB under the same bit error rate. This algorithm improves the system signal detection performance effectively with less iteration and reduces the bit error rate. It has rapid speed of convergence and strong capability of global search. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.5105
Volume: 12
Issue: 5
Page: 3761-3768
Publish at: 2014-05-01

Lane Detection Based on Object Segmentation and Piecewise Fitting

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3405
Chunyang Mu , Xing Ma
A lane detection algorithm for complex environment was proposed. It was concerned on selecting candidate lane region by object segmentation. Then redundancy edges were extracted by Sobel operator. Furthermore, candidate lane markers were obtained by threshold selection from the edges. Finally lane markers were detected by piecewise fitting. The proposed algorithm was simulated in MATLAB. Experiments showed that lane markers could be detected correctly. Piecewise linear transformation in preprocessing has enhanced performance of detection while the environment was dim. And limited region of interest helps to identification lane in an appropriate region, which have the effect of enhancement in the speed of operation. Feature-based method is usually affected by intensity of image. Several characteristics of roads need to be considered in further for detection more precisely. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.3240
Volume: 12
Issue: 5
Page: 3491-3500
Publish at: 2014-05-01

Input-Current and Load Voltage Sharing in Input-Parallel Output-Series Connected Boost Half Bridge DC-DC Converter Using Stable Control Scheme

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3432
Amir Mahmood Soomro , Shahnawaz Farhan Khahro , Shahnawaz Talpur , Liao Xiaozhong , Farhan Manzoor
This paper explores a configuration for boost half bridge DC-DC converters, connected in parallel at the input and series at the output, such that the converters share the input current and load voltage equally. A stable control scheme has been developed to achieve this objective. In order to verify the effectiveness and stability of control scheme, input-parallel output-series (IPOS) connected boost half bridge (BHB) DC-DC Converter has been simulated for the different load conditions such as for fixed load, half load and continuously varying load. The results are found to be satisfactory at each load condition and validate the proposed converter structure. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4188
Volume: 12
Issue: 5
Page: 3705-3712
Publish at: 2014-05-01

An Improved Key Management Scheme for Hierarchical Wireless Sensors Networks

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3464
Abdoulaye Diop , Yue Qi , Qin Wang
Key management play a central role for protecting communication in WSNs. Due to the limited memory resources and energy constraints, complex security algorithms cannot be used in sensor networks. Therefore, to secure data communication and well balance between the security level and the associated energy consumption is a challenging task. In this paper, we present an Improved Key management Scheme for Securing communication in Hierarchical Wireless Sensors Networks (IKS). The proposed technique based on symmetric key mechanism, generates and distributes the keys within a cluster efficiently and updates periodically keys to mitigate the node compromise attack. We provide a detailed security analysis of our IKS protocol and show its advantages in avoiding node capture attack and several serious attacks from malicious nodes. Finally, using NS-2 simulator, the results shows that IKS provides energy saving and has low communication overhead and end to end delay compared to existing key management schemes. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4241   
Volume: 12
Issue: 5
Page: 3969-3978
Publish at: 2014-05-01

Detecting Community and Topic Co-Evolution in Social Networks

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3476
Juan Bi , Zhiguang Qin , Jia Huang
In this paper we study how to discover the co-evolution of topics and communities over time in dynamic social networks. We present a topic model-based approach that automatically captures the dynamic features of communities and topics evolution. Our model can be viewed as an extension of the LDA model with the key addition that it can not only detect communities and topics simultaneously but also work in an online fashion. Instead of modeling communities and topics in statistical manner, the proposed model can simulate the user’s interests drifting at different time epochs by taking into consideration the temporal information implied in the data, and observe how the community structure changes over time with the evolution of topics. Experiments on real-world data set have proved the ability of this model in discovering well-connected and topically meaningful communities and the co-evolution pattern of topics and communities. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4389 
Volume: 12
Issue: 5
Page: 4063-4070
Publish at: 2014-05-01

The Hybrid Flow Shop Scheduling With Special Time Constraints

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3471
Xiaobing Cheng , Mingping Xia , Xiuying Wang , Yongjun Xiao
A constraint satisfaction optimization model is established for just-in-time HFS scheduling problem with limited waiting time. Considering the problem’s complicated characteristic of having binary variables, this paper decomposes it into a Multiple Capacitated Flow Shop Scheduling (MCFS) problem and a machine allocation problem. During the process of solving the MCFS problem, a local search is embedded into the procedure of constraint satisfaction optimization so as to improve the convergence of the algorithm. Data experiments show that both the model and algorithm are feasible and effective. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.5093
Volume: 12
Issue: 5
Page: 4024-4029
Publish at: 2014-05-01

A New License Plate Fault-tolerant Characters Recognition Algorithm

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3382
Guowei Yang , Xiaochun Wang , Yang Yang
According to the license plate recognition problem, this paper did the research about license plate location and characters recognition. It proposed two new algorithms, they separately are license location algorithm based on color segmentation and fault-tolerant characters recognition algorithm based on BP neural network. In the pre-processing stage, it proposed image enhancement algorithm which could make the image more easily analyzed by computer. In the location stage, it made utilization of color and shape information, and then proposed location algorithm. In the recognition stage, it fully made the consideration of characters’ fault-tolerant, and then made the use of improved BP neural network to recognize characters. It did some experiment by MATLAB. Experiments show that the special license plate fault-tolerant characters recognition algorithm is more accurate than the original license plate recognition methods, and its recognition rate has been improved greatly. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4947
Volume: 12
Issue: 5
Page: 3281-3288
Publish at: 2014-05-01
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