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29,922 Article Results

Flicker Measurement and Grey Disaster Prediction of Grid-connected Wind Turbines

10.12928/telkomnika.v13i2.993
Zhanqiang; College of Information Engineering, Inner Mongolia University of Technology Zhang , Keqilao; College of Information Engineering, Inner Mongolia University of Technology Meng , Li; College of Information Engineering, Inner Mongolia University of Technology Zhang
Grid-connected operation of large-scale wind turbines(WTs) will have an impact on power quality of electric power systems. Therefore, on the basis of analyzing the International Electrotechnical standard IEC 61400-21, we described the measurement, evaluation method of the flicker of WTs and proposed the method of grey disaster prediction.Active power, reactive power, flicker coefficient and flicker severity of the WTs were tested on the actual wind farm according to the IEC 61400-21 standard. We believed that the flicker severity was a disaster, so used the grey disaster prediction to predict the occurrence time of excessive flicker.Analysis of the test data of flicker was necessary,which could determine the Upper disaster threshold of the flicker.The disaster sequence was made up of the excessive flicker values. The date sequence was extracted from the disaster sequence. Establishing GM (1,1) model for the date sequence was to predict the future disaster date sequence.The experimental results showed that the relative accuracy of the disaster prediction model reached 94.87%, which was suitable for long-term flicker disaster prediction.
Volume: 13
Issue: 2
Page: 391-400
Publish at: 2014-06-01

Real-time Implementation of a xAVS Video Decoder

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3517
Qing Chang , Xin Liu , YaoLi Wang
AVS video decoder consumes a huge number of computation, so real-time implementation of an AVS decoder has some challenging on x86 computing platform. This article describes a xAVS open source project to solve this problem. First of all, the reason for the low efficiency of the code of the existing AVS video decoder open source reference software RM52J_r1 is analyzed according to the description of AVS key technologies and decoding principles in the official documentation. Then according to the main problems of the reference software, re-design the optimized xAVS decoder architecture, and real-time property significantly improved with C code. Finally, use the x86 platform multimedia instruction sets to further optimize xAVS semantic processor. The experimental results show that, under the precondition of ensuring the quality of decoding, the decoding speed of the xAVS decoder for D1 has increased more than 14 times, to fully meet the needs of real-time decoding. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5473
Volume: 12
Issue: 6
Page: 4393-4399
Publish at: 2014-06-01

A New Clustering Algorithm Using Links' Weight to Decrease Consumed Energy in MANETs

10.12928/telkomnika.v12i2.59
Abbas; Islamic Azad University Afsharfarnia , Abbas; Islamic Azad University Karimi
One of the most important problems of clustering algorithms in mobile ad-hoc networks (MANETs) is the relatively low stability in generated clusters which are resulted by rapid clusters destruction and high energy consumption in performing the re-clustering processes. Many algorithms have been provided to increase the clusters stability of which the most significant are weight-based algorithms. In weight-based algorithms, only limited information of each node is used to determine its weight and it causes that the best possible option for cluster-head is not selected. The purpose of this paper is providing one weight-based algorithm in which each node's weight determination is performed not only by using its node information but also its neighbor’s nodes information and this work is performed by determining the links' weight between nodes that provide connections between nodes. Via this method, the best possible options can be selected as cluster-head. In simulations and performed experiments, it is revealed that the generated clusters by our proposed algorithms have very high stability.
Volume: 12
Issue: 2
Page: 411-418
Publish at: 2014-06-01

Study on VRPTW based on Improved Particle Swarm Optimization

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3538
Wang Fei
Vehicle routing problem with time windows (VRPTW) is a typical non-deterministic polynomial hard (NP-hard) optimization problem. In order to overcome PSO’s slow astringe and premature convergence, an improved particle swarm optimization (IPSO) is put forward. In the algorithm, it uses the population entropy to makes a quantitative description about the diversity of the population, and adaptively adjusts the cellular structure according to the change of population entropy to have an effective balance between the local exploitation and the global exploration, thus enhance the performance of the algorithm. In the paper, the algorithm was applied to solve VRPTW, the mathematical model was established and the detailed implementation process of the algorithm was introduced. The simulation results show that the algorithm has better optimization capability than PSO. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5395
Volume: 12
Issue: 6
Page: 4543-4549
Publish at: 2014-06-01

A Novel Multi-focus Image Fusion Method Based on Non-negative Matrix Factorization

10.12928/telkomnika.v12i2.69
Yongxin; Northwest University Zhang , Li; Northwest University Chen , Zhihua; Northwest University Zhao , Jian; Northwest University Jia , Jie; Xi'an Community Information Service & Management Center Chen
In order to efficiently extract the focused regions from the source images and improve the quality of the fused image, this paper presents a novel image fusion scheme with non-negative matrix factorization (NMF). The source images are fused by NMF to construct temporary fused image, whose region homogeneityis used to split the source images into regions.The focused regions are detected and integrated to construct the final fused image. Experimental results demonstrate that the proposedschemeis capable ofefficiently extracting the focused regions and significantly improving the fusion quality compared to other existing fusion methods,in terms of visualand quantitative evaluations.
Volume: 12
Issue: 2
Page: 379-388
Publish at: 2014-06-01

Test Device for Liquid Moisture Transport Difference Evaluation of Fabrics

10.11591/ijeecs.v12.i6.pp4724-4730
Bao-guo Yao , Shui-yuan Hong , Jian-chao Wang
A test device was developed and a test method was proposed to characterize the dynamic liquid moisture transport properties of textile fabrics, based on the mechanical equipment, microelectronics, sensors and control system. Derived from the test data, five indices were defined to characterize the dynamic liquid moisture transport difference between two surfaces of textile fabrics. The test principle, the structure of the mechanical equipment and the evaluation method for the dynamic moisture transport difference were introduced. Six types of fabrics made from different textile materials were measured. The one-way ANOVA analysis was carried out to identify the significance of the differences of the indices among the test fabrics. The results show that each evaluation index is significantly different (P
Volume: 12
Issue: 6
Page: 4724-4730
Publish at: 2014-06-01

Finite Element Analysis for Bobbin Tool Friction Stir Welding

10.11591/ijeecs.v12.i6.pp4854-4860
X.M. Liu , J.S. Yao , Z.D. Zou , Y. Cai , H. Meng
With DEFORM-3D finite element software, by thermo-mechanical coupling method, the physical modle for bobbin tool friction stir welding was set up. By this model, the temperature field and flow field of AA 2014 aluminium alloy work plate of 6mm was analyzed, which provides useful information for the investigation of this new process. Simulation results show that the temperature field of the cross section presents symmetry approximately about the mid thickness of the work plate. The high temperature zone has large radius at bottom and top surfaces near the shoulders while small radius at the mid thickness, like a waist, which is verified by the experiments. The relativey highest steady temperature keeps about 360℃. Groove defects are easy to be found in the simulation.
Volume: 12
Issue: 6
Page: 4854-4860
Publish at: 2014-06-01

Geometric Feature Extraction of Batik Image Using Cardinal Spline Curve Representation

10.12928/telkomnika.v12i2.54
Aris; Institut Teknologi Sepuluh Nopember Fanani , Anny; Institut Teknologi Sepuluh Nopember Yuniarti , Nanik; Institut Teknologi Sepuluh Nopember Suciati
Batik is an Indonesian national heritage which has been recognized as a world cultural heritage (world heritage). Batik is widely used as clothing material. The advancement of technology allowed the material optimization in clothing design. Geometrical information of batik image is required in a modul for optimizing clothing design with batik as raw material. Geometric feature extraction of batik image is used to help computer to recognize batik's pattern or motif. This research proposes a method for geometric feature extraction of batik image by using cardinal spline curve representation. The method for geometric feature extraction is divided into 2 processes, i.e., feature extraction for Klowongan and feature extraction for Isen-Isen. Klowongan represents pattern of batik image, whereas Isen-Isen is content patterns of Klowongan. Feature extraction of Klowongan is performed by deleting collinear points from object boundaries until the dominant points are obtained. The dominant points are then used as control points. Feature extraction of Isen-Isen is performed by saving coordinate of every connected components which are also used as control points. Geometry feature of batik image is represented as a set of control points of klowongan and isen-isen. Batik image can be reconstructed by drawing cardinal spline curve using a set of control points in the geometric representation. The experiment shows that the reconstructed images is visually similar with the original batik image.
Volume: 12
Issue: 2
Page: 397-404
Publish at: 2014-06-01

Design and Implementation of Probe Driver Teleoperative Force Feedback System

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3494
Amjad Ali Syed , Xing-guang Duan , Arbab Nighat Khizer , Mengli Mengli , Xiangzhan Kong , Qiang Huang
The basic need of neurosurgery is to insert the probe into the key hole linearly for performing functional neurosurgery, trigeminal neuralgia surgery, biopsies, deep brain stimulation, and stereo-EEG. Recently, tele-robotic systems have been introduced to assist surgeon during invasive procedures to obtain desired results. In this paper, a linear probe driving tele-operative system with force feedback is proposed. The proposed system is highly accurate, stable, and safe and provides haptic transparency to the surgeon during its operation. The master slave architecture, control system and software application are designed to inject and eject probe driving trials. The experiments are performed on a piecewise linear Plasticine model. The accuracy, stability, repeatability of the system and haptic force feedback fidelity are discussed in the results.  DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5277
Volume: 12
Issue: 6
Page: 4215-4221
Publish at: 2014-06-01

DOA Estimation by Fourth-Order Cumulants without Source Enumeration and Eigendecomposition

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3497
Elhafiz Abdalla Bakhit Yagoup , Zhiwen Liu , Yougen Xu
A new algorithm for direction of arrival (DOA) estimation is proposed.Using fourth-order cumulants and modified MUSIC (MUliplle SIgnal Classification) algorithm. However, it does not require any eigendecomposition of the cumulant matrix of the received data and source enumeration. It also eliminates the need for knowledge of the spatial characteristics of the noise and interference. This method only uses the conjugate spatial signal of different sensor positions. Computer simulation results are provided to demonstrate the performance of the proposed approach and compare them to DCI (Diagonally-loaded Conjugate correlation matrix Inverse power) method. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.4679
Volume: 12
Issue: 6
Page: 4237-4242
Publish at: 2014-06-01

An Approach for Automatically Generate Star Schema from Natural Language

10.12928/telkomnika.v12i2.63
Rosni; Del Institute of Technology Lumbantoruan , Elisa Margareth; Del Institute of Technology Sibarani , Monica Verawati; Del Institute of Technology Sitorus , Ayunisa; Del Institute of Technology Mindari , Suhendrowan Putra; Del Institute of Technology Sinaga
The star schema is a form of data warehouse modelling, which acts primary storage for dimensional data that enables efficient retrieval of business information for decision making. Star schemas can be generated from business needs that we refer to as a user business key or from a relational schema of the operational system. There are many tools available to automatically generate star schema from relational schema, such as BIRST and SAMSTAR; however, there is no application that can automatically generate it from a user business key that is represented in the form of human language. In this paper, we offered an approach for automatically generating star schema from user business key(s). It begins by processing the user business key using a syntactical parsing process to identify noun words. Those identified words will be used to generate dimension table candidates and a fact table. The evaluation result indicates that the tool can generate star schema based on the inputted user business key(s) with some limitations in that the star schema will not be formed if the dimensional tables do not have a direct relationship.
Volume: 12
Issue: 2
Page: 501-510
Publish at: 2014-06-01

Improved Fuzzy Evaluation Model Analysis of Nuclear Power Plant Operational Safety Performance

10.11591/ijeecs.v12.i6.pp4505-4511
Dongxiao Niu , Zongyun Song , Jinpeng Liu
The evaluation on nuclear power plant operational safety performance had great significance on whether the nuclear power plant operated safely or not. Currently the academic literatures on nuclear power plant operational safety performance are rare. Improved Fuzzy evaluation model which introduce confidence level had been used into the evaluation of nuclear power plant operational safety performance. The article built safety performance indicator system and further established importance level evaluation matrix which showed the indexes relative importance, and established performance evaluation matrix which represented indicators impact on operational effect. From the importance level evaluation matrix the weigh and confidence of indicators can be gained and from the performance evaluation matrix the evaluation matrix can be gained. The preliminary evaluation result and synthetic confidence can be obtained by multiplying evaluation matrix by indicator weigh and confidence, and then the final evaluation result can be achieved. DOI: http://dx.doi.org/10.11591/telkomnika.v12i6.5389
Volume: 12
Issue: 6
Page: 4505-4511
Publish at: 2014-06-01

Self-learning PID Control for X-Y NC Position Table with Uncertainty Base on Neural Network

10.12928/telkomnika.v12i2.73
Hu; Lishui University Xiaoping , Wang; Lishui University Chao , Zhang; Lishui University Wenhui , Ma; Lishui University Jing
An adaptive radical basis function (RBF) neural network PID control scheme for X-Y position table is proposed by the paper. Firstly, X-Y position table model is established, controller based on neutral network is used to learn adaptive and compensate uncertainty model of X-Y position table, neutral network is used to study model. PID neural network controller base on augmented variable method is designed. PID controller is used as assistant direction error controller, neural network parameters base on stochastic gradient algorithm can be adjust adaptive on line. The simulation results show that the presented controller has important engineering value.
Volume: 12
Issue: 2
Page: 343-348
Publish at: 2014-06-01

Constructing Cerebellum Model by Researching on its Contributions to DIVA

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3482
Yuanyuan Wu , Shaobai Zhang
DIVA (Directions into Velocities of Articulators) is a mathematical model of the processes behind speech acquisition and production, supposed to achieve a functional representation of areas in the brain that are involved in speech production and speech perception. Introducing cerebellum control mechanism into the model plays a significant role in improving the mechanism of speech acquisition and production based on DIVA model. The paper studies its learning process, and explores cerebellar contributions to the model, that is feedforward learning, sensory predictions, feedback command production and the timing of delays, and then constructs a cerebellum model that is closer to neuroanatomy and is applied to DIVA model. Simulation results show that the improved DIVA model can produce more clear and explicit speech sounds, and is more close to human-like pronunciation system. The cerebellum model that established in this paper can be applied to speech acquisition and production based on DIVA model. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5388 
Volume: 12
Issue: 6
Page: 4115-4124
Publish at: 2014-06-01

A Method for Designing Complex Machine Olfaction System

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3556
Hua Fang , Minglei Shu , Yunxiang Liu , Wanjun Yu , Wenju Li
In the paper a template technology has been applied to the complex platform of machine olfaction system. The simulation sensor array template receives field odor data or simulates the data via recorders in database, then transmits to the platform which consists of several distributed monitoring subsystems. Each subsystem matches a set of gas sensors array, and has functions of logging data, communicating and simulating industry application. The data from the subsystem and the preprocessed data are sent to the web server center and stored in the databases. Then sensors perform analysis by several layer algorithms. And the exchanging algorithms convert the field odor data to gas concentrations with ppm values, the expert systems or recognition algorithms analyze the ppm values and show the application results. All data of each layer are stored in server database systems, and each layer algorithms can be updated and saved. Finally, the supporting platform that applied to industrial monitoring systems, was developed with a kind of industrial configuration softwares, web MIS and databases, and was utilized to realize monitor to the environmental systems by the simulation template. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5451
Volume: 12
Issue: 6
Page: 4679-4684
Publish at: 2014-06-01
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