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28,593 Article Results

Dynamic Error Analysis of CMM Based on Variance Analysis and Improved PLSR

10.11591/ijeecs.v12.i7.pp5342-5349
Zhang Mei , Cheng Fang , Li Guihua
It is difficult to build an accurate model to predict the dynamic error of CMM by analyzing error sources. An innovative modeling method based on Variance Analysis and Improved Partial Least-square regression (IPLSR) is proposed to avoid analyzing the interaction of error sources and to overcome the multi-collinearity of Ordinary Least-square regression (OLSR). Among many impact factors the most influential parameters are selected as the independents of the model, by means of variance analysis.The proposed modeling method IPLSR can not only avoid the analysis of the error sources and the interactions, but can also solve the problem of multi-collinearity in OLSR. From experimental data the expository capability of this IPLSR model can be calculated as 85.624 percent, and the mean square error is 0.94μm. As comparison, the mean square values of conventional PLSR and OLSR are 1.04μm and 1.39μm, respectively. So IPLSR has higher predicting precision and better expository capability.
Volume: 12
Issue: 7
Page: 5342-5349
Publish at: 2014-07-01

Variable Step Size Blind Equalization based on Sign Gradient Algorithm

10.11591/ijeecs.v12.i7.pp5491-5498
Ying Xiao , Fuliang Yin
This work proposes a variable step size sign gradient algorithm to solve the problem of blind equalization under impulse noise environment. This algorithm suppresses the impulse noise interference effectively because of the sign operation on the instantaneous gradient based on constant modulus algorithm (CMA) cost function. Meanwhile, the excess mean square error can be further reduced by use of a variable step size algorithm based on the iterative times and the reliability of the output signal. Simulation results show that, the variable step size blind equalization based on sign gradient algorithm has the fastest convergence rate and the lowest steady state residue error compared with the fractional low order CMA, the nonlinear transform CMA and stop-and-go CMA.
Volume: 12
Issue: 7
Page: 5491-5498
Publish at: 2014-07-01

Characteristics Analysis and Detection Algorithm of Mosquitoes

10.11591/ijeecs.v12.i7.pp5368-5378
Jahangir Alam S.M. , Hu Guoqing , Cheng Chen
The systematic detection and elimination of mosquitoes is a valuable process, the results of which could be important in the fight against Malaria. In this study, image processing is used, allowing the researchers to detect the mosquitoes and their locations. Mosquitoes' physical characteristics, territorial and behavioral patterns were also analyzed through recognition technology. It is found that mosquitoes can be detected and differentiated by their physical, territorial and behavioral patterns through these methodologies. In addition to mosquitoes, flies and bees are also included in this study and were analyzed for their patterns, as well as their distinguishing features. Size, number of objects, proboscis, body shape, color, antennae, hind legs, and shape parameters were all factors considered for mosquito detection with image processing. All these informations were used in the Mosquito Detection Algorithm. This study provides characteristic descriptions of all three insects and statistical analysis of the data found.
Volume: 12
Issue: 7
Page: 5368-5378
Publish at: 2014-07-01

Measurement Method of the Grain Quantity Based on The Ground Pressure

10.11591/ijeecs.v12.i7.pp5552-5558
Fan Chao , Zhang Dexian , Yang Tiejun , Fu Hongliang
To measure the stored grain quantity accurately and reliably, the measurement method based on the ground pressure is put forward. According to the randomness of the granary pressure distribution caused by the limited fluidity of the grain, the layout of the pressure on the ground is set up, and the mean pressure on the ground is used to represent the whole ground pressure. At the same time, the pressure distribution on the wall is analyzed and the compensation method is given, which can reduce the sensors used in this method and the cost is low. Lastly, the estimation model of the stored grain quantity based on the ground pressure is put forward, to improve the prediction accuracy of the grain weight, the parameters are estimated based on the ratio of the error. The experiment results shown that, the measurement error is less than 3% by using this method, which can meet the actual need of real-time online monitoring the national grain storage quantity and distribution effectively.
Volume: 12
Issue: 7
Page: 5552-5558
Publish at: 2014-07-01

Implementation of Input-Process-Output Model for Measuring Information System Project Success

10.11591/ijeecs.v12.i7.pp5603-5612
A'ang Subiyakto , Abd. Rahman Ahlan
Measurement of the information system (IS) project success has become the interesting topic for researchers and practitioners since the Standish Group published their findings in 1994.  Project success theory is the main concept in this topic, but this theory is still an ambiguous concept and lack in agreement among researchers and practitioners. They are also still tend to focus on single or partial dimension. Therefore, they did not get a clear picture of the system measurements. This study developed an alternative model of the project success measurement based on input-process-output (IPO) model. The development was conducted using comparison, adoption, adaptation, and combination the previous theories and models: Davis's IPO model, the project success theories, Delone and McLean' model, and the project classificatory framework. As indicated in most studies that most of models are developed using the previous theories and models rather than on empirical proofs. The result is a IS project success model consisting of 9 variables and 36 relationships among the variables. Although, the model is only a conceptual model, but it was developed completely and coherently considering three main aspects of project success measurement, namely: processional and causal models, project success theories, and the influence concept of project environment.
Volume: 12
Issue: 7
Page: 5603-5612
Publish at: 2014-07-01

Improvement of Power Quality using Fuzzy Logic Controller In Grid Connected Photovoltaic Cell Using UPQC

https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/5043
K.Ramalingeswara Rao , K.S. Srikanth
In this paper, the design of combined operation of UPQC and PV-ARRAY is designed. The proposed system is composed of series and shunt inverters connected back to back by a dc-link to which pv-array is connected. This system is able to compensate voltage and current related problems both in inter-connected mode and islanding mode by injecting active power to grid. The fundamental aspect is that the power electronic devices (PE) and sensitive equipments (SE) are normally designed to work in non-polluted power system, so they would suffer from malfunctions when supply voltage is not pure sinusoidal. Thus this proposed operating strategy with flexible operation mode improves the power quality of the grid system combining photovoltaic array with a control of unified power quality conditioner. Pulse Width Modulation (PWM) is used in both three phase four leg inverters. A Proportional Integral (PI) and Fuzzy Logic Controllers are used for power quality improvement by reducing the distortions in the output power. The simulated results were compared among the two controller’s strategies With pi controller and fuzzy logic controller.DOI: http://dx.doi.org/10.11591/ijpeds.v5i1.6184
Volume: 5
Issue: 1
Page: 101-111
Publish at: 2014-07-01

SISO P-ILC Algorithm for Output Data Dropouts and Its Application in Wastewater Biological Treatment Plant

10.11591/ijeecs.v12.i7.pp5293-5297
Gu Qun , Hao Xiaohong , Li Zhuoyue , Wang Hua
In order to improve the efficiency of sewage treatment, We construct P-ILC algorithm for output data dropouts.The P-ILC algorithm is used in the aeration tank of oxygen input link, and according to the actual situation, considering the data generating omissions, adjusting the algorithm can completely control the aeration tank of oxygen. After 15 iterations, we can completely control the oxygen in the aeration tank volume. We know more important is this algorithm may at any time according to need of aeration tank of oxygen supplement, when the lack of oxygen, can open the oxygen filling pump, when sufficient oxygen, close the oxygen filling pump, to achieve energy saving goals, ultimately makes the economic benefits to achieve the highest.
Volume: 12
Issue: 7
Page: 5293-5297
Publish at: 2014-07-01

A Reliability Evaluation of High Speed Railway Traction Substation Based on the GO-FLOW Methodology

10.11591/ijeecs.v12.i7.pp4954-4962
Li Liang , Feng Zhao , Sihua Wang
In order to assure the uninterrupted power supply of high speed railway, the reliability assessment of traction substation is essential at the design stage. Based on the system reliability engineering theory, a new system reliability analysis method called the GO-FLOW methodology is applied in the reliability assessment of traction substation of high speed railway. Considering failure and dynamic characteristics over time of the components and shutdown correlation of electrical equipments in substation, on the analysis of the traction power supply system, the GO-FLOW chart of traction power supply system is established by taking the uninterrupted power supply as its target. Their operators signal flows and operation rules are analyzed. Then, the quantitative and qualitative assessment of reliability are realized, the weakness of system is determined. Thus, the reliability evaluation of high-speed railway traction power supply system is completed.
Volume: 12
Issue: 7
Page: 4954-4962
Publish at: 2014-07-01

The Navel Orange Sugar and Acidity Quantitative Prediction Model Optimization Research by Second Generation Wavelet Transform

10.11591/ijeecs.v12.i7.pp5414-5419
Zhao Ke , Yang Han , Wang Zhong , Wang Qi
The author researches the impact of the second generation wavelet transform spectrometer data preprocessing navel orange sugar content and acidity Partial Least Squares (PLS) quantitative accuracy of the prediction model. This paper also collects the spectral date of one hundred navel oranges by visible/near-infrared diffuse reflectance detection technology and establishes the navel orange sugar content and acidity PLS prediction model using the sixty navel oranges as the establishing samples. The author contrasts changes of navel orange sugar content and acidity PLS prediction model because the spectral date of navel oranges are processed by the second generation wavelet transform, Finally conclusion: the second generation wavelet transform processing navel orange spectral data can improve the predictive ability of the sugar content and acidity PLS quantitative analysis models.
Volume: 12
Issue: 7
Page: 5414-5419
Publish at: 2014-07-01

Application of AGPU for Matrix Converters

https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/5046
Nithin T Abraham , C.A Pradeep Kumar , Shaema Lizbeth Mathew
A simple PI control loop for the matrix converter system is designed in the simulation to maintain a constant output voltage inspite of any disturbance in the source. The single phase matrix converter employs a modified safe-commutation strategy, which results in the elimination of voltage spikes on switches, without the need of a snubber circuit when there is an inductive load being utilized. This is facilitated through the proper switching control algorithm. The sine PWM pulses are generated as switching pulses to the converter to reduce the THD.DOI: http://dx.doi.org/10.11591/ijpeds.v5i1.5340
Volume: 5
Issue: 1
Page: 129-134
Publish at: 2014-07-01

Solution Trajectories for a Single-Phase Programmed PWM Inverter

10.11591/ijeecs.v12.i7.pp5121-5128
Ayong Hiendro , Syaifurrahman Syaifurrahman , Dedi Triyanto , Junaidi Junaidi
This paper presents solution trajectories for programmed PWM technique to eliminate specific order harmonics in a single phase inverter. Evolutionary algorithm is applied to determine optimum switching angles in order to elmininate low order harmonics for modulation index: -1 £ M £ +1. An implementation using a DE2-115 Cyclone IVE FPGA device is also reported in this paper. The experimental results show that the technique effectively eliminates the specific harmonics, and offers low harmonic distortions on the inverter output after filtering.
Volume: 12
Issue: 7
Page: 5121-5128
Publish at: 2014-07-01

Effect of Contamination on Electric Field Distribution of DC Voltage Divider

10.11591/ijeecs.v12.i7.pp5071-5077
Caibo Liao , Ruan Jiangjun , Du Zhiye , Liu Chao
In order to research the influence of the contamination around the external insulating surface of DC voltage divider with different types in the electic field distribution by using the finite element method, a two dimensional axisymmetric model of the DC voltage divider in Longquan convertor station is built. Through the calculation comparison in electrostatic and quasi-electrostatic field, the relative dielectric constant of the dry, moist and the non-uniform mixed contamination layer is discussed under the condition of the material parameters is known in quasi-electrostatic field .Analysis shows that for dry contamination，the field type has no influence on the electric field distribution when the parameters of the materials are same. While for moist contamination，the relative dielectric constant in electrostatic field should be set according to the material resistivity in quasi-electrostatic field and the actual condition. The calculation of the non-uniform contamination prove that the materials parameters in electrostatic filed is reasonable.
Volume: 12
Issue: 7
Page: 5071-5077
Publish at: 2014-07-01

Study on Mahalanobis Discriminant Analysis of EEG Data

10.11591/ijeecs.v12.i7.pp5387-5391
Yuan Shi , Linlin Yu , Fang Qin
Objective In this paper, we have done Mahalanobis Discriminant analysis to EEG data of experiment objects which are recorded impersonally come up with a relatively accurate method used in feature extraction and classification decisions. Methods In accordance with the strength of wave, the head electrodes are divided into four species. In use of part of 21 electrodes EEG data of 63 people, we have done Mahalanobis Discriminant analysis to EEG data of six objects. Results In use of part of EEG data of 63 people, we have done Mahalanobis Discriminant analysis, the electrode classification accuracy rates is 64.4%. Conclusions Mahalanobis Discriminant has higher prediction accuracy, EEG features (mainlywave) extract more accurate. Mahalanobis Discriminant would be better applied to the feature extraction and classification decisions of EEG data.
Volume: 12
Issue: 7
Page: 5387-5391
Publish at: 2014-07-01

Electromagnetic-thermal Scale Model of Gas-Insulated Bus Bars

10.11591/ijeecs.v12.i7.pp4988-4995
Hongtao Li , Naiqiu Shu , Ling Li , Hui Peng , Zipin Li
Knowledge of the heat dissipation ability of gas-insulated bus bars (GIB) is paramount in the design stage. To reduce the capital cost, a scale model which has the identical electromagnetic-thermal characteristics of a full scale GIB is designed in this paper. The scaling relationships of the power losses, convection heat transfer, radiant heat transfer and thermal equilibrium are analyzed based on the governing equations and non-dimensional correlations. Current densities, power losses, convective heat transfer coefficients and temperature distributions in conductor and tank of the prototype and the scale models under different load currents are compared by FEM (Finite Element Method). The effectiveness of scale models is validated by the comparison between calculated and test results.
Volume: 12
Issue: 7
Page: 4988-4995
Publish at: 2014-07-01

A Study of Cognitive Technology OFDM System and Frame Structure

10.11591/ijeecs.v12.i7.pp5514-5521
Hua Hou , Wei Zhang
For mobile communication system with multi-service of multiple users, spectrum utilization rate is low and user's QoS requirements need to be improved. The paper proposed a cross-layer based on cognitive radio technology and OFDM technology model and designed the core technology of this frame structure model  such as service division, spectrum sensing and spectrum aggregation in detail. Comprehensive judgment through the service needs of different users, and the spectrum holes judgment, not only meet different user’s QoS, but also improve spectrum utilization and increase the system suitability. Finally, the simulation analysis of the model’s performance shows that the model can not only reasonable use of the spectrum holes, and better meet the user’s QoS requirements.
Volume: 12
Issue: 7
Page: 5514-5521
Publish at: 2014-07-01
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