|Title: Low complexity closed-form solution to blind joint channel and symbol estimation in MIMO-OFDM|
|Author(s): Majid Rezaee|
|Pages: 1-6||Paper ID:153403-1818-IJECS-IJENS||Published: June, 2015|
Abstract: Due to the increasing amount of subscribers and high data rate applications, the mobile networks should evolve to fit the growing demands. To fulfill the requisites imposed by the next generation of wireless systems, the combination of multiple input multiple output (MIMO) system and orthogonal frequency division multiplexing (OFDM) is shown to be the possible solution. In this paper, we propose a low complexity blind receiver known as Frobenius Vector Average Rank One Approximation (FVAROA). Our proposed FVAROA receiver is a closed-form solution, which has a less complex than the classical alternating least squares (ALS) receiver since no iteration is need. The key feature of the proposed FVAROA receiver is in terms of computational complexity which is linear. As shown in the numerical simulations, in terms of Bit Error Rate (BER) and Normalized Mean Square Error (NMSE) of channel estimation, FVAROA can achieve the same accuracy as the state-of-the-art estimation techniques.
|Keywords: Frobenius Vector Rank One Approximation; FREVO; Low complexity blind receiver; MIMO-OFDM|
|Full Text (.pdf) | 362 KB|
|Title: Applying Multiple Particle Swarm Optimization Algorithm to the Optimal Setting of Time Coordination Curve of FTU in Distribution Feeder Automated System|
|Author(s): Ming-Yuan Cho, Shen-Wen Hsiao, Chia-Yuan Hsu|
|Pages: 7-15||Paper ID:153203-4848-IJECS-IJENS||Published: June, 2015|
Abstract: In this study, mathematical optimization was applied to improve the fault interval assessment of feeder terminal units (FTUs). Because of the insufficient hardware computing power in such units, using a time coordination curve to calculate fault curves leads to the occurrence of jagged curves. Such jagged curves lead to considerably high errors, ultimately resulting in malfunction or erroneous nonoperation. A multi-particle swarm optimization (multi-PSO) algorithm was proposed for resolving the malfunction caused by protection curves with considerably high errors. This algorithm improves the early convergence problem encountered in the original standard PSO algorithm and the long calculation time observed in the area method. When the proposed multi-PSO algorithm is applied in the optimization process, the arrangement of the nodes on the jagged curves improved; this results in the jagged curves exhibiting relatively smooth and curved outlines, thereby eliminating malfunctions and achieving upstream and downstream protection coordination as well as completing fault interval identification procedures. The main contribution of this study is the improvement of the erroneous assessment of distribution line faults observed in FTU fault flags. The proposed method also improves the success rate of FDIR in feeder automation systems.
|Keywords: Fault diagnosis isolation restoration (FDIR), Feeder automation, Feeder terminal unit (FTU), Multi-particle swarm algorithm, Protection coordination.|
|Full Text (.pdf) | 797 KB|
|Title: Effect Of The Finite Ground Conductivity On The Lightning-Induced Voltage On Overhead Line|
|Author(s): M. Bidi, M.H. Latreche|
|Pages: 16-20||Paper ID:153102-1503-6464-IJECS-IJENS||Published: June, 2015|
Abstract: The aim of this paper is to investigate the effect of lossy ground conductivity on the lightning induced overvoltage on overhead lines. The ground conductivity plays a role in both the evaluation of the lightning field radiated and the line parameters. Regarding the radiated electromagnetic field, it is shown that the horizontal electric field, the component which is affected by the finite ground conductivity, can be calculated using the Cooray-Rubinstein formula. We also investigate the time-domain representation of field-to-transmission line coupling equations where the frequency-dependence of the ground is taken into account by the convolution integral.
|Keywords: EM field, lightning-induced voltage, lossy ground, overhead line.|
|Full Text (.pdf) | 672 KB|
|Title: Comparison of PI & Fuzzy Logic Controlled Dual Active Bridge DC to DC Converter Systems|
|Author(s): R. Sowmya, S. Rama Reddy|
|Pages: 21-29||Paper ID:156902-1503-1717-IJECS-IJENS||Published: June, 2015|
Abstract: This work deals with design, modeling and simulation of the PI & the Fuzzy controlled DAB DC to DC converter systems. Open loop system is simulated with step change in input voltage. The output voltage in closed loop system is regulated using PI and Fuzzy controllers. The response of these two systems are compared. This converter has advantages like low EMI,less switching loss and improved dynamic response. The simulation results of PI & FLC DAB DC to DC converter systems are presented in this paper.
|Keywords: DC to DC converter, Fuzzy Logic Controller, PI controller, Soft switching.|
|Full Text (.pdf) | 746 KB|
|Title: Using Support Vector Machine for Classifying Insulator Leakage Current|
|Author(s): Ming-Yuan Cho, Pou-Sz Lin|
|Pages: 30-38||Paper ID:153603-7474-IJECS-IJENS||Published: June, 2015|
Abstract: This paper proposes a support vector machine (SVM)-based technique for data classification and estimation. The correlation between insulator leakage current and weather conditions was used to establish classifier models for estimating insulator leakage current. This study adopted a remote monitoring system installed in two transmission towers, Tower 51 (161 kV) on Sihu First Road and Tower 4 (69kV) at Lunbei Line, Qiao Cun, which are located on the key lines in the heavily salt-fog-polluted regions of Yunlin, Taiwan. This system monitors the power lines and the damages caused by salt-fog pollution, and combines meteorological data with insulator leakage current data and spark discharge images collected through automatic monitoring. These data were employed in a multivariate linear regression analysis to identify the correlation between leakage current and weather conditions. Various meteorological parameters were used to construct regression models for determining the parameters imposing the greatest influence on leakage current. Subsequently, the proposed SVM classifiers were employed to combine various meteorological parameters with leakage current parameters generated by insulators of dissimilar specifications. Finally, the optimal parameter combination for classifying leakage current was determined, thus verifying the applicability and effectiveness of the leakage current classifier models proposed in this study.
|Keywords: Insulator leakage current, multivariate linear regression analysis, salt fog damage, support vector machine (SVM).|
|Full Text (.pdf) | 1,031 KB|
|Title: Simulation and Analysis of Lightning on 345-kV Arrester Platform Ground-Leading Line Models|
|Author(s): Shen-Wen Hsiao, Shen-Jen Hsiao|
|Pages: 39-43||Paper ID:153703-8989-IJECS-IJENS||Published: June, 2015|
Abstract: Due to overvoltage transients, surge arresters are required to prevent damage to the junctions in overhead and underground hybrid transmission systems and the grounding model is a key factor affecting arrester performance. The popular transient analysis tool, EMTP/ ATP, is used to search for the best connecting method by simulating the responses of different grounding models to a typical lightning strike at the junction of an overhead line and underground cable in a 345-kV transmission system. An experimental lightning impulse test is performed to validate the simulated data. The simulation results could be used as guide to find an effective design for line arrester grounding models at the connection station, such as smart grid transmission design arresters under the lead ground reference.
|Keywords: Ground-Leading Line, Arrester Platform, EMTP-ATP, Overhead Transmission Line.|
|Full Text (.pdf) | 687 KB|
|Title: Hopfield Neural Network Hybrid Algorithm Combined with Fuzzy Sets|
|Author(s): Haeun Kim, Taehwan Kim, Taeseon Yoon|
|Pages: 44-47||Paper ID:154003-7272-IJECS-IJENS||Published: June, 2015|
Abstract: This paper proposes the new method on improving the Hopfield Neural Networks by applying the Fuzzy Theory. The primary problem of Hopfield Neural Networks that the researchers had focused on was the activeness of its weight values. In Hopfield Neural Network, the variation of weight values is inactive; so that various results cannot be produced. To improve the weakness, the researchers applied Fuzzy sets as the function of its weight. Fuzzy sets allowed the suggested model to produce diverse results by subdividing weight values. In this paper, Hypertext Preprocessor (PHP) is used for implementing the proposed algorithm. The obtained results show that the proposed method makes more flexible weight values by using Fuzzy set theory.
|Keywords: Component; Hopfield Neural Networks(HNNs), Fuzzy Set Theory, Weight Function, Rule Extraction.|
|Full Text (.pdf) | 300 KB|
|Title: Territorial Intelligence as an Approach of Cooperation in the Territory: Case study in Hassan 1st University|
|Author(s): Soumia Hajbi, Jaouad Dabounou|
|Pages: 48-52||Paper ID:154703-8585-IJECS-IJENS||Published: June, 2015|
Abstract: This article is based on research conducted at the University Hassan 1st of Settat in Morocco, which aim to implement a territorial intelligence approach in the city of Settat. The design of a Web portal is an important step in our approach. The territorial information system would at first be a web portal, for supporting the network of local stakeholders around a common understanding on territorial issues and to establishing the elements of a territory project for a city marked by the non-use of ICT in the context of collective management.
|Keywords: Portal, Territorial intelligence, University, territorial stakeholders, Innovation.|
|Full Text (.pdf) | 194 KB|
|Title: Using Discrete Data of ECG in the Numerical and Spectral forms|
|Author(s): Sabar Setiawidayat, M. Rasjad Indra, Djanggan Sargowo, Setyawan Sakti|
|Pages: 53-60||Paper ID:155203-6969-IJECS-IJENS||Published: June, 2015|
Abstract: The information the observer needs from the Electrocardiogram (ECG) is principally used to understand the peak value of the PQRST amplitude existing in the boxes in the sheet specific for ECG or in the monitor screen. Based on the counted values of the waves, the observer will be able do diagnose the heart condition. This paper is proposing an ECG-representing concept in the numerical and frequency spectral forms for showing information on the amplitude, segment or interval. From the application of a sampling method from the results of the biosignal tapping, a discrete signal of the amplitude strain versus time duration was obtained. And the filtering of maximal and minimal values of the amplitude from the discrete data in a cycle would result in values from the peak amplitude, meanwhile the time transition method would produce segmental and interval values. The matrice operations and the application of the Fast Fourier Transform (FFT) on the discrete data, the values of signal range and spectrum frequency would be obtained. The ECG presentation in the numerical form will make the results of a diagnosis faster because the calculation is made by a software so that the observer merely sees the results of the calculation. The ECG presentation in the spectral form will result in the normality level or the stadium level of the Arrhythmia.
|Keywords: Spectrum, numerical, discrete, sampling, ECG.|
|Full Text (.pdf) | 616 KB|