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Localization Methods of Weighted Centroid of dBZ on Weather-Radar Echo Maps in Vector Format
Xue-tao Yu;
Xiao-ping Rui;
Feng Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: February 2013
Publisher : Institute of Advanced Engineering and Science
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Fast generation of weather-radar echo maps in vector format and accurate localization of weighted centroid of dBZ (dBZ stands for decibels of reflectivity of a radar signal reflected off a remote object) are the basis of studying the characteristic tracking algorithms which are based on the vector echoes. The authors principally studied the approach to generating the vector echo map, and discussed the localization methods of weighted centroid of dBZ on vector echo maps. First, based on the traditional calculation method on raster echo data, some new localization methods of weighted centroid of dBZ on vector echo data were proposed by considering the weights of features’ area and distance from their location to radar center. Second, taking the base reflectivity products of CINRAD/SA weather radar in Meizhou city of China as data sources, they illustrated the storage structure of this type of echo data and studied the drawing mode of changing this type of data into vector format files under the polar coordinate system in detail. Third, using the same vector echo maps created by the above method, the weighted centroid of the same area was calculated by the above localization methods. In the end, Compared with the calculated value of the same area by traditional method which is based on raster echo maps, the three new calculated results and the sources of error were analyzed in detail and two conclusions were drawn: the echo’s precision in vector format is much higher than that in raster format and it is more accurate to take the features’ area and distance to radar center as weights during the calculation of weighted centroid of dBZ on echo maps in vector format. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.2071
Discrimination of Chinese Herbal Medicine by Machine Olfaction
Dehan Luo;
Yawen Shao
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: February 2013
Publisher : Institute of Advanced Engineering and Science
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“Small Sample Size” (SSS) problem would occur while using linear discriminant analysis (LDA) algorithm with traditional Fisher criterion if the within-class scatter matrix is singular. The combination of maximum scatter difference (MSD) criterion and LDA algorithm for solve SSS problem is described. It is employed to detect three kinds of Chinese herbal medicines from different growing areas by machine olfaction. Compared with PCA or PCA + LDA algorithm, the classification result was enhanced. It works out that only a few samples of Anhui Atractylodes are classified incorrectly, however, the classification rate reaches 97.8%. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.1986
A Model of FPGA-based Direct Torque Controller
Tole Sutikno;
Nik Rumzi Nik Idris;
Aiman Zakwan Jidin;
Auzani Jidin
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: February 2013
Publisher : Institute of Advanced Engineering and Science
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This paper presents a generic model of a fully FPGA-based direct torque controller. This model is developed using two’s-complement fixed-point format approaches, in register-transfer-level (RTL) VHDL abstraction for minimizing calculation errors and consuming hardware resource usage. Therefore, the model is universal and can be implemented for all FPGA types. The model is prepared for fast computation, without using of CORDIC algorithm, a soft-core CPU, a transformation from Cartesian-to-polar coordinates, and without the help of third-party applications. To get simpler implementation and fast computation, several methods were introduced: i) the backward-Euler approach to calculate the discrete-integration operation of stator flux, ii) the modified non-restoring method to calculate complicated square-root operation of stator flux, iii) a new sector analysis method. The design, which was coded in synthesizable VHDL in RTL abstraction for implementation on Altera DE2-board has produced very-precise calculations, with minimal error when being compared to MATLAB/Simulink double-precision calculation. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.2002
A Kind of Visual Speech Feature with the Geometric and Local Inner Texture Description
Xibin Jia;
Yanfeng Sun
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: February 2013
Publisher : Institute of Advanced Engineering and Science
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In this paper, we propose a type of joint feature with geometric parameters and color moments to represent the speaking-mouth frames for image-based visual speech synthesis systems. Based on FDP around the mouth area, the geometric feature is obtained by computing Euclidean distances to describe the width of the speaking mouth, the height of the outer and inner lips and the distances between them. The color moment component in the joint feature is obtained by calculating the texture between the upper and lower inner lips to describe the visibility state of the teeth. Through analyzing the accordance between the teeth visibility and the components of RGB and HSV color space based on the samples separately, we discovered that green and blue components are good at describing the change of teeth visibility. The experiments show that the proposed joint feature can effectively provide the basis for categorizing the different speaking states especially at the sense of lip shapes and tooth visibility. The evaluation of clustering results is done by analyzing the derived parameters of the silhouette function. The analyzing results prove that comparing with the geometric only and PCA, our proposed feature together with the shape and the local inner lip texture clues has better performance in improving the similarity between samples within the clusters. In the future, more expressive features with the shape and local texture information should be explored to increase the proportion of similar samples within the clusters to improve the descriptive ability of speaking mouths. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.2047
Specific Index Parameters definition for Quantitative Evaluation of the Dynamic Performance of the Electromagnetic Mechanism Topologies within Controllable Actuators
LOU Jie;
SUN Bin;
LI Qingmin
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: February 2013
Publisher : Institute of Advanced Engineering and Science
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Fast electromagnetic drive mechanism shows broad application prospects in many areas, but there is still a lack of unified evaluation parameters as to evaluate the dynamic characteristics due to diversity and complexity of the mechanisms. Three interrelated evaluation parameters are presented for topology analysis, namely the electromagnetic force sensitivity coefficient, the initial time constant and the sensitivity contribution coefficient. The specific parameters based evaluation can provide a basis for structural performance assessment as well as topology optimization. Comparison between the dynamic parameters of the discoid repulsion mechanism and the solenoid thrust mechanism shows that, the discoid one is superior to the solenoid one. The proposed research is to establish a general methodology for topology analysis and optimization of the electromagnetic mechanisms. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.2066
Attenuation Model of Wireless Sensor Network for Large-Scale Farmland Environment
Wu Huarui;
Zhao Chunjiang;
Zhu Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: February 2013
Publisher : Institute of Advanced Engineering and Science
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The transmission characteristics of wireless sensor network nodes for large-scale farmland are influenced by factors such as farmland terrain environment, planting density and height. The vegetation canopy can absorb, scatter, and block RF signals, leading to large attenuation of signal strength and significant differences in link quality on the receiving end, which in turn affects the monitoring quality. The dynamic relationships between radio signal transmission, plant height, group range, and crop growth stages are identified through the analysis of summer corn perceptual information path loss at different growth stages. The gradual RSSI attenuation model of wireless sensor network for large-scale farmland environment is established. Research shows that during the corn tassel and seed-filling periods, the RSSI attenuation is most serious and the perception range reaches the minimum value when antenna height falls in the range of 0.5 meter to 1.7 meters. Through the model we can predict the intensity and perception range of the received wireless signals of summer corn on various perception levels at different growth stages. This model serves as the theoretical basis for the deployment of wireless sensor network nodes for large-scale farmland, aiming to achieve maximum monitoring range at minimum equipment cost. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.1981
A Self-Learning Network Reconfiguration Using Fuzzy Preferences Multi-Objective Approach
Hongbin Sun;
Chunjun Zhou
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: February 2013
Publisher : Institute of Advanced Engineering and Science
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The paper proposes a self-learning evolutionary multi-agent system for distribution network reconfiguration. The network reconfiguration is modeled as a multi-objective combinational optimization. An autonomous agent-entity cognizes the physical aspects as operational states of the local substation, the agent-entities establish relationship network based on the interactions to provide service. Multiple objectives are considered for load balancing among the feeders, minimum deviation of the nodes voltage, minimize the power loss and branch current constraint violation. These objectives are modeled with fuzzy sets to evaluate their imprecise nature and one can provide the anticipated value of each objective. The method completes the network reconfiguration based on the negotiation of autonomous agent-entities. Simulation results demonstrated that the proposed method is effective in improving performance. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.1997
Energy-saving Routing Algorithm Based on Cluster in WSN
He Ninghui;
Li Hongsheng;
Gao Jing
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: February 2013
Publisher : Institute of Advanced Engineering and Science
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This paper takes the improved threshold formula and cluster radios formulas to choose cluster-heads by considering energy-saving, based on typical clustering routing protocol and optimal cluster-head selection formula. In the forming stage of cluster, the proportionality principle is used to make the distribution of cluster even more reasonable and during the stable stage of cluster, the member nodes in cluster use TDMA to communicate with the cluster-head node, and cluster-head nodes communicate with base station BS via multi-hop interrupt communication manner. Then it proposed the realization of target tracking based on the energy- saving routing algorithm. Finally, it can be seen in the simulation results that on the behalf of the network lifetime and average energy consumption, energy-saving routing algorithm is more reasonable. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.2032
Path Planning Optimization for Teaching and Playback Welding Robot
Yuehai Wang;
Ning Chi
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: February 2013
Publisher : Institute of Advanced Engineering and Science
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Path planning for the industrial robot plays an important role in the intelligent control of robot. Tradition strategies, including model-based methods and human taught based methods, find it is difficult to control manipulator intelligently and optically. Thus, it is hard to ensure the better performance and lower energy consumption even if the same welding task was executed repeatedly. A path planning optimization method was proposed to add learning ability to teaching and playback welding robot. The optimization was divided into the welding points sequence improvement and trajectory improvement, which was done both on-line and off-line. Points sequence optimization was modeled as TSP and was continuously improved by genetic algorithm based strategy, while the trajectory between two welding points was on-line improved by an try-and-error strategy where the robot try different trajectory from time to time so as to search a better plan. Simulation results verified that this control strategy reduced the time and energy cost as compared with the man-made fix-order sequence. Our method prevents the robot from the computation-intensive model-based control, and offers a convenient way for self-improvement on the basis of human teaching. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.2061
Analysis Vehicle TWC Light-off Characteristics on AMESim Platform
Zhuang Wen Wu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: February 2013
Publisher : Institute of Advanced Engineering and Science
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Though building an AMESim physical model of vehicle three-way catalytic converter (TWC), this article aims to study the light-off characteristics of TWC. By solving the energy and mass conservation equations of gas-solid two phase of the model, this article obtains the emissions conversion rate, such as CO, unburned hydrocarbons (CaHb) and nitrogen oxides (NOx) under different parameters. The results show that, the TWC light-off characteristics can be affected by the engine control strategy, allocation of TWC and the structure of TWC carrier.DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.1476